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Xie Y, Sang Q, Da Q, Niu G, Deng S, Feng H, Chen Y, Li YY, Liu B, Yang Y, Dai W. Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression. Artif Intell Med 2024; 152:102871. [PMID: 38685169 DOI: 10.1016/j.artmed.2024.102871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 03/08/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024]
Abstract
For the diagnosis and outcome prediction of gastric cancer (GC), machine learning methods based on whole slide pathological images (WSIs) have shown promising performance and reduced the cost of manual analysis. Nevertheless, accurate prediction of GC outcome may rely on multiple modalities with complementary information, particularly gene expression data. Thus, there is a need to develop multimodal learning methods to enhance prediction performance. In this paper, we collect a dataset from Ruijin Hospital and propose a multimodal learning method for GC diagnosis and outcome prediction, called GaCaMML, which is featured by a cross-modal attention mechanism and Per-Slide training scheme. Additionally, we perform feature attribution analysis via integrated gradient (IG) to identify important input features. The proposed method improves prediction accuracy over the single-modal learning method on three tasks, i.e., survival prediction (by 4.9% on C-index), pathological stage classification (by 11.6% on accuracy), and lymph node classification (by 12.0% on accuracy). Especially, the Per-Slide strategy addresses the issue of a high WSI-to-patient ratio and leads to much better results compared with the Per-Person training scheme. For the interpretable analysis, we find that although WSIs dominate the prediction for most samples, there is still a substantial portion of samples whose prediction highly relies on gene expression information. This study demonstrates the great potential of multimodal learning in GC-related prediction tasks and investigates the contribution of WSIs and gene expression, respectively, which not only shows how the model makes a decision but also provides insights into the association between macroscopic pathological phenotypes and microscopic molecular features.
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Affiliation(s)
- Yuzhang Xie
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qingqing Sang
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qian Da
- Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Guoshuai Niu
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shijie Deng
- Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Haoran Feng
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yunqin Chen
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, 201203, China
| | - Yuan-Yuan Li
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, 201203, China
| | - Bingya Liu
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Yang Yang
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Wentao Dai
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasm, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, 201203, China.
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Zhang S, Deliyore-Ramírez J, Deng S, Nair B, Pesquera D, Jing Q, Vickers ME, Crossley S, Ghidini M, Guzmán-Verri GG, Moya X, Mathur ND. Highly reversible extrinsic electrocaloric effects over a wide temperature range in epitaxially strained SrTiO 3 films. Nat Mater 2024; 23:639-647. [PMID: 38514844 PMCID: PMC11068575 DOI: 10.1038/s41563-024-01831-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 02/06/2024] [Indexed: 03/23/2024]
Abstract
Electrocaloric effects have been experimentally studied in ferroelectrics and incipient ferroelectrics, but not incipient ferroelectrics driven ferroelectric using strain. Here we use optimally oriented interdigitated surface electrodes to investigate extrinsic electrocaloric effects in low-loss epitaxial SrTiO3 films near the broad second-order 243 K ferroelectric phase transition created by biaxial in-plane coherent tensile strain from DyScO3 substrates. Our extrinsic electrocaloric effects are an order of magnitude larger than the corresponding effects in bulk SrTiO3 over a wide range of temperatures including room temperature, and unlike electrocaloric effects associated with first-order transitions they are highly reversible in unipolar applied fields. Additionally, the canonical Landau description for strained SrTiO3 films works well if we set the low-temperature zero-field polarization along one of the in-plane pseudocubic <100> directions. In future, similar strain engineering could be exploited for other films, multilayers and bulk samples to increase the range of electrocaloric materials for energy efficient cooling.
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Affiliation(s)
- S Zhang
- College of Science, National University of Defense Technology, Changsha, China.
- Department of Materials Science, University of Cambridge, Cambridge, UK.
| | - J Deliyore-Ramírez
- Centro de Investigación en Ciencia e Ingeniería de Materiales (CICIMA), Universidad de Costa Rica, San José, Costa Rica
- Escuela de Física, Universidad de Costa Rica, San José, Costa Rica
| | - S Deng
- Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing, China
| | - B Nair
- Department of Materials Science, University of Cambridge, Cambridge, UK
| | - D Pesquera
- Department of Materials Science, University of Cambridge, Cambridge, UK
| | - Q Jing
- Department of Materials Science, University of Cambridge, Cambridge, UK
- James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - M E Vickers
- Department of Materials Science, University of Cambridge, Cambridge, UK
| | - S Crossley
- Department of Materials Science, University of Cambridge, Cambridge, UK
| | - M Ghidini
- Department of Materials Science, University of Cambridge, Cambridge, UK
- DiFeST, University of Parma, Parma, Italy
- Diamond Light Source, Chilton, Didcot, UK
| | - G G Guzmán-Verri
- Department of Materials Science, University of Cambridge, Cambridge, UK.
- Centro de Investigación en Ciencia e Ingeniería de Materiales (CICIMA), Universidad de Costa Rica, San José, Costa Rica.
- Escuela de Física, Universidad de Costa Rica, San José, Costa Rica.
| | - X Moya
- Department of Materials Science, University of Cambridge, Cambridge, UK.
| | - N D Mathur
- Department of Materials Science, University of Cambridge, Cambridge, UK.
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Meng Z, Guo Y, Deng S, Xiang Q, Cao J, Zhang Y, Zhang K, Ma K, Xie S, Kang Z. Improving image quality of triple-low-protocol renal artery CT angiography with deep-learning image reconstruction: a comparative study with standard-dose single-energy and dual-energy CT with adaptive statistical iterative reconstruction. Clin Radiol 2024; 79:e651-e658. [PMID: 38433041 DOI: 10.1016/j.crad.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 03/05/2024]
Abstract
AIM To investigate the improvement in image quality of triple-low-protocol (low radiation, low contrast medium dose, low injection speed) renal artery computed tomography (CT) angiography (RACTA) using deep-learning image reconstruction (DLIR), in comparison with standard-dose single- and dual-energy CT (DECT) using adaptive statistical iterative reconstruction-Veo (ASIR-V) algorithm. MATERIALS AND METHODS Ninety patients for RACTA were divided into different groups: standard-dose single-energy CT (S group) using ASIR-V at 60% strength (60%ASIR-V), DECT (DE group) with 60%ASIR-V including virtual monochromatic images at 40 keV (DE40 group) and 70 keV (DE70 group), and the triple-low protocol single-energy CT (L group) with DLIR at high level (DLIR-H). The effective dose (ED), contrast medium dose, injection speed, standard deviation (SD), signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of abdominal aorta (AA), and left/right renal artery (LRA, RRA), and subjective scores were compared among the different groups. RESULTS The L group significantly reduced ED by 37.6% and 31.2%, contrast medium dose by 33.9% and 30.5%, and injection speed by 30% and 30%, respectively, compared to the S and DE groups. The L group had the lowest SD values for all arteries compared to the other groups (p<0.001). The SNR of RRA and LRA in the L group, and the CNR of all arteries in the DE40 group had highest value compared to others (p<0.05). The L group had the best comprehensive score with good consistency (p<0.05). CONCLUSIONS The triple-low protocol RACTA with DLIR-H significantly reduces the ED, contrast medium doses, and injection speed, while providing good comprehensive image quality.
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Affiliation(s)
- Z Meng
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - Y Guo
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - S Deng
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - Q Xiang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - J Cao
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - Y Zhang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - K Zhang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China
| | - K Ma
- CT Imaging Research Center, GE HealthCare China, Tianhe District, Huacheng Road 87, Guangzhou, 510623, China
| | - S Xie
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China.
| | - Z Kang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Tianhe District, Tianhe Road, 600, Guangzhou, 510620, China.
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Li A, Yi H, Deng S, Ruan M, Xu P, Huo Y, Lu H, Shen X, Ouyang B, Cai M, Xu H, Wang Z, Zhang L, Zhu L, Peng Q, Gu Y, Xie J, Wang Y, Dong L, Liu Z, Wang C. The genetic landscape of histologically transformed marginal zone lymphomas. Cancer 2024; 130:1246-1256. [PMID: 37941429 DOI: 10.1002/cncr.35072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/24/2023] [Accepted: 09/11/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Marginal zone lymphomas (MZLs) comprise a diverse group of indolent lymphoproliferative disorders; however, some patients develop histologic transformation (HT) with rapid progression to aggressive lymphoma. METHODS Forty-three MZLs with HT (HT-MZLs), 535 MZLs, and 174 de novo diffuse large B-cell lymphomas (DLBCLs) without rearrangements of MYC, BCL2, and BCL6 were collected. Among these, 22 HT-MZLs, 39 MZLs, and 174 DLBCLs were subjected to 148-gene targeted exome sequencing. The clinicopathologic features of patients who had HT-MZL and their genetic alterations were compared with those of patients who had MZLs and DLBCLs. RESULTS All 43 HT-MZLs corresponded to DLBCLs. No HT-MZLs harbored BCL2 and MYC and/or BCL6 rearrangements. Bone marrow involvement and higher levels of lactate dehydrogenase were significantly more common in HT-MZLs than in MZLs. Furthermore, upregulated BCL6, MUM1, C-MYC, and Ki-67 expression was observed more frequently in HT-MZLs than in MZLs. TBL1XR1 was the most frequently altered gene (63.6%) in HT-MZLs, followed by CCND3 (31.8%), CARD11, ID3, and TP53 (22.7%). A trend toward worse progression-free survival in patients with TBL1XR1 mutations was observed. Compared with MZLs and non-germinal center B-cell (GCB) type DLBCLs, significantly higher frequencies of TBL1XR1 and ID3 mutations were identified in HT-MZLs. PIM1 mutations frequently occurred in DLBCLs and were significantly associated with TBL1XR1 mutations but were mutated less in HT-MZLs that had TBL1XR1 mutations. CONCLUSIONS The current findings reveal the clinicopathologic and genetic features of HT-MZLs, suggesting that these tumors might constitute a group distinct from MZL and de novo non-GCB type DLBCL. TBL1XR1 mutations may be considered a predictor of HT in MZL.
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Affiliation(s)
- Anqi Li
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmei Yi
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shijie Deng
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Miao Ruan
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pengpeng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yujia Huo
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiyang Lu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Shen
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Binsen Ouyang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingci Cai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haimin Xu
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhongyu Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Zhang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingyan Zhu
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Peng
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijin Gu
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialing Xie
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zebing Liu
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaofu Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Abbasi R, Ackermann M, Adams J, Agarwalla SK, Aguilar JA, Ahlers M, Alameddine JM, Amin NM, Andeen K, Anton G, Argüelles C, Ashida Y, Athanasiadou S, Axani SN, Bai X, Balagopal VA, Baricevic M, Barwick SW, Basu V, Bay R, Beatty JJ, Becker Tjus J, Beise J, Bellenghi C, Benning C, BenZvi S, Berley D, Bernardini E, Besson DZ, Blaufuss E, Blot S, Bontempo F, Book JY, Boscolo Meneguolo C, Böser S, Botner O, Böttcher J, Bourbeau E, Braun J, Brinson B, Brostean-Kaiser J, Burley RT, Busse RS, Butterfield D, Campana MA, Carloni K, Carnie-Bronca EG, Chattopadhyay S, Chau N, Chen C, Chen Z, Chirkin D, Choi S, Clark BA, Classen L, Coleman A, Collin GH, Connolly A, Conrad JM, Coppin P, Correa P, Cowen DF, Dave P, De Clercq C, DeLaunay JJ, Delgado D, Deng S, Deoskar K, Desai A, Desiati P, de Vries KD, de Wasseige G, DeYoung T, Diaz A, Díaz-Vélez JC, Dittmer M, Domi A, Dujmovic H, DuVernois MA, Ehrhardt T, Eller P, Ellinger E, El Mentawi S, Elsässer D, Engel R, Erpenbeck H, Evans J, Evenson PA, Fan KL, Fang K, Farrag K, Fazely AR, Feigl N, Fiedlschuster S, Fienberg AT, Finley C, Fischer L, Fox D, Franckowiak A, Fritz A, Fürst P, Gallagher J, Ganster E, Garcia A, Gerhardt L, Ghadimi A, Glaser C, Glauch T, Glüsenkamp T, Goehlke N, Gonzalez JG, Goswami S, Grant D, Gray SJ, Gries O, Griffin S, Griswold S, Groth KM, Günther C, Gutjahr P, Haack C, Hallgren A, Halliday R, Halve L, Halzen F, Hamdaoui H, Ha Minh M, Hanson K, Hardin J, Harnisch AA, Hatch P, Haungs A, Helbing K, Hellrung J, Henningsen F, Heuermann L, Heyer N, Hickford S, Hidvegi A, Hill C, Hill GC, Hoffman KD, Hori S, Hoshina K, Hou W, Huber T, Hultqvist K, Hünnefeld M, Hussain R, Hymon K, In S, Ishihara A, Jacquart M, Janik O, Jansson M, Japaridze GS, Jeong M, Jin M, Jones BJP, Kang D, Kang W, Kang X, Kappes A, Kappesser D, Kardum L, Karg T, Karl M, Karle A, Katz U, Kauer M, Kelley JL, Khatee Zathul A, Kheirandish A, Kiryluk J, Klein SR, Kochocki A, Koirala R, Kolanoski H, Kontrimas T, Köpke L, Kopper C, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Kozynets T, Krishnamoorthi J, Kruiswijk K, Krupczak E, Kumar A, Kun E, Kurahashi N, Lad N, Lagunas Gualda C, Lamoureux M, Larson MJ, Latseva S, Lauber F, Lazar JP, Lee JW, Leonard DeHolton K, Leszczyńska A, Lincetto M, Liu QR, Liubarska M, Lohfink E, Love C, Lozano Mariscal CJ, Lucarelli F, Luszczak W, Lyu Y, Madsen J, Mahn KBM, Makino Y, Manao E, Mancina S, Marie Sainte W, Mariş IC, Marka S, Marka Z, Marsee M, Martinez-Soler I, Maruyama R, Mayhew F, McElroy T, McNally F, Mead JV, Meagher K, Mechbal S, Medina A, Meier M, Merckx Y, Merten L, Micallef J, Mitchell J, Montaruli T, Moore RW, Morii Y, Morse R, Moulai M, Mukherjee T, Naab R, Nagai R, Nakos M, Naumann U, Necker J, Negi A, Neumann M, Niederhausen H, Nisa MU, Noell A, Novikov A, Nowicki SC, Obertacke Pollmann A, O'Dell V, Oehler M, Oeyen B, Olivas A, Orsoe R, Osborn J, O'Sullivan E, Pandya H, Pankova DV, Park N, Parker GK, Paudel EN, Paul L, Pérez de Los Heros C, Peterson J, Philippen S, Pizzuto A, Plum M, Pontén A, Popovych Y, Prado Rodriguez M, Pries B, Procter-Murphy R, Przybylski GT, Raab C, Rack-Helleis J, Rawlins K, Rechav Z, Rehman A, Reichherzer P, Renzi G, Resconi E, Reusch S, Rhode W, Riedel B, Rifaie A, Roberts EJ, Robertson S, Rodan S, Roellinghoff G, Rongen M, Rott C, Ruhe T, Ruohan L, Ryckbosch D, Safa I, Saffer J, Salazar-Gallegos D, Sampathkumar P, Sanchez Herrera SE, Sandrock A, Santander M, Sarkar S, Sarkar S, Savelberg J, Savina P, Schaufel M, Schieler H, Schindler S, Schlickmann L, Schlüter B, Schlüter F, Schmeisser N, Schmidt T, Schneider J, Schröder FG, Schumacher L, Schwefer G, Sclafani S, Seckel D, Seikh M, Seunarine S, Shah R, Sharma A, Shefali S, Shimizu N, Silva M, Skrzypek B, Smithers B, Snihur R, Soedingrekso J, Søgaard A, Soldin D, Soldin P, Sommani G, Spannfellner C, Spiczak GM, Stamatikos M, Stanev T, Stezelberger T, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Ter-Antonyan S, Thiesmeyer M, Thompson WG, Thwaites J, Tilav S, Tollefson K, Tönnis C, Toscano S, Tosi D, Trettin A, Tung CF, Turcotte R, Twagirayezu JP, Ty B, Unland Elorrieta MA, Upadhyay AK, Upshaw K, Valtonen-Mattila N, Vandenbroucke J, van Eijndhoven N, Vannerom D, van Santen J, Vara J, Veitch-Michaelis J, Venugopal M, Vereecken M, Verpoest S, Veske D, Vijai A, Walck C, Weaver C, Weigel P, Weindl A, Weldert J, Wen AY, Wendt C, Werthebach J, Weyrauch M, Whitehorn N, Wiebusch CH, Willey N, Williams DR, Witthaus L, Wolf A, Wolf M, Wrede G, Xu XW, Yanez JP, Yildizci E, Yoshida S, Young R, Yu F, Yu S, Zhang Z, Zhelnin P, Zilberman P, Zimmerman M. Observation of Seven Astrophysical Tau Neutrino Candidates with IceCube. Phys Rev Lett 2024; 132:151001. [PMID: 38682982 DOI: 10.1103/physrevlett.132.151001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 02/15/2024] [Accepted: 02/29/2024] [Indexed: 05/01/2024]
Abstract
We report on a measurement of astrophysical tau neutrinos with 9.7 yr of IceCube data. Using convolutional neural networks trained on images derived from simulated events, seven candidate ν_{τ} events were found with visible energies ranging from roughly 20 TeV to 1 PeV and a median expected parent ν_{τ} energy of about 200 TeV. Considering backgrounds from astrophysical and atmospheric neutrinos, and muons from π^{±}/K^{±} decays in atmospheric air showers, we obtain a total estimated background of about 0.5 events, dominated by non-ν_{τ} astrophysical neutrinos. Thus, we rule out the absence of astrophysical ν_{τ} at the 5σ level. The measured astrophysical ν_{τ} flux is consistent with expectations based on previously published IceCube astrophysical neutrino flux measurements and neutrino oscillations.
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Affiliation(s)
- R Abbasi
- Department of Physics, Loyola University Chicago, Chicago, Illinois 60660, USA
| | - M Ackermann
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - J Adams
- Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
| | - S K Agarwalla
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J A Aguilar
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - M Ahlers
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J M Alameddine
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - N M Amin
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K Andeen
- Department of Physics, Marquette University, Milwaukee, Wisconsin 53201, USA
| | - G Anton
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - C Argüelles
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Y Ashida
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA
| | - S Athanasiadou
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - S N Axani
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - X Bai
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - V A Balagopal
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Baricevic
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S W Barwick
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - V Basu
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - R Bay
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J J Beatty
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - J Becker Tjus
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - J Beise
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - C Bellenghi
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - C Benning
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S BenZvi
- Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA
| | - D Berley
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - E Bernardini
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - D Z Besson
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - E Blaufuss
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Blot
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - F Bontempo
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J Y Book
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - C Boscolo Meneguolo
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - S Böser
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - O Botner
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Böttcher
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - E Bourbeau
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J Braun
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Brinson
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - J Brostean-Kaiser
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - R T Burley
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - R S Busse
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - D Butterfield
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A Campana
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - K Carloni
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - E G Carnie-Bronca
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - S Chattopadhyay
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - N Chau
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - C Chen
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Z Chen
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - D Chirkin
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Choi
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - B A Clark
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - L Classen
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A Coleman
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - G H Collin
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Connolly
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - J M Conrad
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - P Coppin
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - P Correa
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - D F Cowen
- Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - P Dave
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - C De Clercq
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - J J DeLaunay
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - D Delgado
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - S Deng
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - K Deoskar
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - A Desai
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - P Desiati
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K D de Vries
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - G de Wasseige
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - T DeYoung
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Diaz
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J C Díaz-Vélez
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Dittmer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A Domi
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - H Dujmovic
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A DuVernois
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - T Ehrhardt
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - P Eller
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - E Ellinger
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - S El Mentawi
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - D Elsässer
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - R Engel
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - H Erpenbeck
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Evans
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - P A Evenson
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K L Fan
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - K Fang
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Farrag
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - A R Fazely
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - N Feigl
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
| | - S Fiedlschuster
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - A T Fienberg
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - C Finley
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - L Fischer
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - D Fox
- Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Franckowiak
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - A Fritz
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - P Fürst
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - J Gallagher
- Department of Astronomy, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Ganster
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Garcia
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Gerhardt
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Ghadimi
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - C Glaser
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - T Glauch
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - T Glüsenkamp
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - N Goehlke
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - J G Gonzalez
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - S Goswami
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - D Grant
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - S J Gray
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - O Gries
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S Griffin
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Griswold
- Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA
| | - K M Groth
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - C Günther
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - P Gutjahr
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - C Haack
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - A Hallgren
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - R Halliday
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - L Halve
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - F Halzen
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - H Hamdaoui
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - M Ha Minh
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - K Hanson
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Hardin
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A A Harnisch
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Hatch
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - A Haungs
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - K Helbing
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J Hellrung
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - F Henningsen
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - L Heuermann
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - N Heyer
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - S Hickford
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - A Hidvegi
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - C Hill
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - G C Hill
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - K D Hoffman
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Hori
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Hoshina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - W Hou
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - T Huber
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - K Hultqvist
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - M Hünnefeld
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - R Hussain
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Hymon
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - S In
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - A Ishihara
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Jacquart
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - O Janik
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - M Jansson
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - G S Japaridze
- CTSPS, Clark-Atlanta University, Atlanta, Georgia 30314, USA
| | - M Jeong
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - M Jin
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - B J P Jones
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - D Kang
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - W Kang
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - X Kang
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - A Kappes
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - D Kappesser
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - L Kardum
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - T Karg
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - M Karl
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - A Karle
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - U Katz
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - M Kauer
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J L Kelley
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Khatee Zathul
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Kheirandish
- Department of Physics & Astronomy, University of Nevada, Las Vegas, Nevada, 89154, USA
- Nevada Center for Astrophysics, University of Nevada, Las Vegas, Nevada 89154, USA
| | - J Kiryluk
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - S R Klein
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Kochocki
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - R Koirala
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - H Kolanoski
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
| | - T Kontrimas
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - L Köpke
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - C Kopper
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - D J Koskinen
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - P Koundal
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - M Kovacevich
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - M Kowalski
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - T Kozynets
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J Krishnamoorthi
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Kruiswijk
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - E Krupczak
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Kumar
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - E Kun
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - N Kurahashi
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - N Lad
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - C Lagunas Gualda
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - M Lamoureux
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - M J Larson
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Latseva
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - F Lauber
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J P Lazar
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J W Lee
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - K Leonard DeHolton
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Leszczyńska
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - M Lincetto
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - Q R Liu
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Liubarska
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - E Lohfink
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - C Love
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - C J Lozano Mariscal
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - F Lucarelli
- Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland
| | - W Luszczak
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - Y Lyu
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Madsen
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K B M Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - Y Makino
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Manao
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - S Mancina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - W Marie Sainte
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - I C Mariş
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - S Marka
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - Z Marka
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - M Marsee
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - I Martinez-Soler
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - R Maruyama
- Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - F Mayhew
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - T McElroy
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - F McNally
- Department of Physics, Mercer University, Macon, Georgia 31207-0001, USA
| | - J V Mead
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - K Meagher
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Mechbal
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - A Medina
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - M Meier
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - Y Merckx
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - L Merten
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - J Micallef
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - J Mitchell
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - T Montaruli
- Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland
| | - R W Moore
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - Y Morii
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - R Morse
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Moulai
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - T Mukherjee
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - R Naab
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - R Nagai
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Nakos
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - U Naumann
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J Necker
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - A Negi
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - M Neumann
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - H Niederhausen
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - M U Nisa
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Noell
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Novikov
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - S C Nowicki
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Obertacke Pollmann
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - V O'Dell
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Oehler
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - B Oeyen
- Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium
| | - A Olivas
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - R Orsoe
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - J Osborn
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E O'Sullivan
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - H Pandya
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - D V Pankova
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - N Park
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - G K Parker
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - E N Paudel
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - L Paul
- Department of Physics, Marquette University, Milwaukee, Wisconsin 53201, USA
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - C Pérez de Los Heros
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Peterson
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Philippen
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Pizzuto
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Plum
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - A Pontén
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - Y Popovych
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - M Prado Rodriguez
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Pries
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - R Procter-Murphy
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - G T Przybylski
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Raab
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - J Rack-Helleis
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - K Rawlins
- Department of Physics and Astronomy, University of Alaska Anchorage, 3211 Providence Dr., Anchorage, Alaska 99508, USA
| | - Z Rechav
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Rehman
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - P Reichherzer
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - G Renzi
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - E Resconi
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - S Reusch
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - W Rhode
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - B Riedel
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Rifaie
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - E J Roberts
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - S Robertson
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Rodan
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - G Roellinghoff
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - M Rongen
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - C Rott
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - T Ruhe
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - L Ruohan
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - D Ryckbosch
- Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium
| | - I Safa
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Saffer
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - D Salazar-Gallegos
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Sampathkumar
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - S E Sanchez Herrera
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Sandrock
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - M Santander
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - S Sarkar
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - S Sarkar
- Department of Physics, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
| | - J Savelberg
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - P Savina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Schaufel
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - H Schieler
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - S Schindler
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - L Schlickmann
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - B Schlüter
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - F Schlüter
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - N Schmeisser
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - T Schmidt
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - J Schneider
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - F G Schröder
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - L Schumacher
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - G Schwefer
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S Sclafani
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - D Seckel
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - M Seikh
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - S Seunarine
- Department of Physics, University of Wisconsin, River Falls, Wisconsin 54022, USA
| | - R Shah
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - A Sharma
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - S Shefali
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - N Shimizu
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Silva
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Skrzypek
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - B Smithers
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - R Snihur
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Soedingrekso
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - A Søgaard
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - D Soldin
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - P Soldin
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - G Sommani
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - C Spannfellner
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - G M Spiczak
- Department of Physics, University of Wisconsin, River Falls, Wisconsin 54022, USA
| | - M Stamatikos
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - T Stanev
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - T Stezelberger
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - T Stürwald
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - T Stuttard
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - G W Sullivan
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - I Taboada
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - S Ter-Antonyan
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - M Thiesmeyer
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - W G Thompson
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - J Thwaites
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Tilav
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K Tollefson
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - C Tönnis
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - S Toscano
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - D Tosi
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Trettin
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - C F Tung
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - R Turcotte
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J P Twagirayezu
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - B Ty
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A Unland Elorrieta
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A K Upadhyay
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Upshaw
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - N Valtonen-Mattila
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Vandenbroucke
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - N van Eijndhoven
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - D Vannerom
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J van Santen
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - J Vara
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - J Veitch-Michaelis
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Venugopal
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - M Vereecken
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - S Verpoest
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - D Veske
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - A Vijai
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - C Walck
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - C Weaver
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Weigel
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Weindl
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J Weldert
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Y Wen
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - C Wendt
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Werthebach
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - M Weyrauch
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - N Whitehorn
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - C H Wiebusch
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - N Willey
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - D R Williams
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - L Witthaus
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - A Wolf
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - M Wolf
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - G Wrede
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - X W Xu
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - J P Yanez
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - E Yildizci
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Yoshida
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - R Young
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - F Yu
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - S Yu
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - Z Zhang
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - P Zhelnin
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Zilberman
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Zimmerman
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
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Ouk V, Heng LS, Virak M, Deng S, Lahra MM, Frankson R, Kreisel K, McDonald R, Escher M, Unemo M, Wi T, Maatouk I. High prevalence of ceftriaxone-resistant and XDR Neisseria gonorrhoeae in several cities of Cambodia, 2022-23: WHO Enhanced Gonococcal Antimicrobial Surveillance Programme (EGASP). JAC Antimicrob Resist 2024; 6:dlae053. [PMID: 38577702 PMCID: PMC10993901 DOI: 10.1093/jacamr/dlae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 03/07/2024] [Indexed: 04/06/2024] Open
Abstract
Objectives Antimicrobial resistance (AMR) in Neisseria gonorrhoeae is a global public health concern. Ceftriaxone is the last effective and recommended option for empirical gonorrhoea therapy worldwide, but several ceftriaxone-resistant cases linked to Asia have been reported internationally. During January 2022-June 2023, the WHO Enhanced Gonococcal Antimicrobial Surveillance Programme (EGASP) investigated N. gonorrhoeae AMR and epidemiological factors in patients from 10 clinical sentinel sites in Cambodia. Methods Urethral swabs from males with urethral discharge were cultured. ETEST determined the MIC of five antimicrobials, and EGASP MIC alert values and EUCAST breakpoints were used. EGASP demographic, behavioural and clinical variables were collected using a standardized questionnaire. Results From 437 male patients, 306 had positive N. gonorrhoeae cultures, AMR testing and complete epidemiological data. Resistance to ceftriaxone, cefixime, azithromycin and ciprofloxacin was 15.4%, 43.1%, 14.4% and 97.1%, respectively. Nineteen (6.2%) isolates were resistant to all four antimicrobials and, accordingly, categorized as XDR N. gonorrhoeae. These XDR isolates were collected from 7 of the 10 sentinel sites. No EGASP MIC alert values for gentamicin were reported. The nationally recommended cefixime 400 mg plus azithromycin 1 g (65.4%) or ceftriaxone 1 g plus azithromycin 1 g (34.6%) was used for treatment. Conclusions A high prevalence of ceftriaxone-resistant, MDR and XDR N. gonorrhoeae in several cities of Cambodia were found during 2022-23 in WHO EGASP. This necessitates expanded N. gonorrhoeae AMR surveillance, revision of the nationally recommended gonorrhoea treatment, mandatory test of cure, enhanced sexual contact notification, and ultimately novel antimicrobials for the treatment of gonorrhoea.
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Affiliation(s)
- V Ouk
- National Center for HIV/AIDS, Dermatology and Sexually Transmitted Diseases, Phnom Penh, Cambodia
| | - L Say Heng
- National Center for HIV/AIDS, Dermatology and Sexually Transmitted Diseases, Phnom Penh, Cambodia
| | - M Virak
- Laboratory of the National Institute of Public Health, Phnom Penh, Cambodia
| | - S Deng
- WHO, Office of Cambodia, Phnom Penh, Cambodia
| | - M M Lahra
- WHO Collaborating Centre for Sexually Transmitted Infections and Antimicrobial Resistance, New South Wales Health Pathology, Microbiology, The Prince of Wales Hospital, Randwick, NSW, Australia
| | - R Frankson
- Division of STD Prevention, CDC, Atlanta, GA, USA
| | - K Kreisel
- Division of STD Prevention, CDC, Atlanta, GA, USA
| | - R McDonald
- Division of STD Prevention, CDC, Atlanta, GA, USA
| | - M Escher
- AMR Division, WHO, Geneva, Switzerland
| | - M Unemo
- Department of Laboratory Medicine, Faculty of Medicine and Health, WHO Collaborating Centre for Gonorrhoea and other STIs, Örebro University, Örebro, Sweden
- Institute for Global Health, University College London, London, UK
| | - T Wi
- Department of the Global HIV, Hepatitis and STI Programmes, WHO, Geneva, Switzerland
| | - I Maatouk
- Department of the Global HIV, Hepatitis and STI Programmes, WHO, Geneva, Switzerland
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Teng C, Li X, Chen M, Deng S, Deng H, Xue M, Yuan L, Min R, Fu X, Hu X. Cascaded plastic optical fiber based SPR sensor for simultaneous measurement of refractive index and temperature. Biomed Opt Express 2024; 15:793-801. [PMID: 38404343 PMCID: PMC10890872 DOI: 10.1364/boe.515320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/23/2023] [Accepted: 12/23/2023] [Indexed: 02/27/2024]
Abstract
A cascaded side-polish plastic optical fiber (POF) and FONTEX optical fiber based surface plasmon resonance (SPR) sensor is proposed for simultaneous measurement of refractive index (RI) and temperature. The side-polish POF and FONTEX optical fiber are connected by using the UV glue in a Teflon plastic tube. The SPR phenomenon can be excited at both of the side-polish region and the FONTEX fiber cladding. The polydimethylsiloxane (PDMS) is coated on the side-polish POF to get a temperature sensing channel. Due to the low RI sensitivity of the FONTEX optical fiber, the cascaded fiber sensor can obtain a broader RI measurement range with a low crosstalk. An RI sensitivity of 700 nm/RIU in the RI measurement range of 1.335-1.39 and a temperature sensitivity of -1.02 nm/°C measured in deionized water with a range of 20-60 °C are obtained. In addition, the cascaded POF based SPR sensor has potential application prospects in the field of biochemical sensing.
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Affiliation(s)
- Chuanxin Teng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Xinjing Li
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Ming Chen
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Shijie Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Hongchang Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Minmin Xue
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Libo Yuan
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China
| | - Rui Min
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
| | - Xiaosong Fu
- Beijing Feibo Technology Co., LTD, Beijing 100016, China
| | - Xuehao Hu
- Department of Electromagnetism and Telecommunication, University of Mons, 7000 Mons, Belgium
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Wen J, Deng S, Fei L, Zhang Z, Zhang B, Zhang Z, Xu Y. Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans Neural Netw Learn Syst 2024; 35:1797-1809. [PMID: 35767490 DOI: 10.1109/tnnls.2022.3185408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this article, we propose a new linear regression (LR)-based multiclass classification method, called discriminative regression with adaptive graph diffusion (DRAGD). Different from existing graph embedding-based LR methods, DRAGD introduces a new graph learning and embedding term, which explores the high-order structure information between four tuples, rather than conventional sample pairs to learn an intrinsic graph. Moreover, DRAGD provides a new way to simultaneously capture the local geometric structure and representation structure of data in one term. To enhance the discriminability of the transformation matrix, a retargeted learning approach is introduced. As a result of combining the above-mentioned techniques, DRAGD can flexibly explore more unsupervised information underlying the data and the label information to obtain the most discriminative transformation matrix for multiclass classification tasks. Experimental results on six well-known real-world databases and a synthetic database demonstrate that DRAGD is superior to the state-of-the-art LR methods.
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Li X, Wang H, Wu Y, Zou L, Deng S, Fu X, Huang T, Shen C, Wu T, Cai W. A novel mouse model of PEDF-associated serious liver inflammation, hepatic tumorigenesis and cardiovascular injury mimics human nonalcoholic steatohepatitis. Genes Dis 2024; 11:11-14. [PMID: 37588234 PMCID: PMC10425780 DOI: 10.1016/j.gendis.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/07/2023] [Indexed: 03/28/2023] Open
Affiliation(s)
- Xinghui Li
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Haiping Wang
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yandi Wu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Li Zou
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006, China
| | - Shijie Deng
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xinlu Fu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Tongsheng Huang
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Conghui Shen
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Teng Wu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Weibin Cai
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong 518107, China
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10
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Huo S, Zheng Y, Deng S, Huang G. [Effect of information-knowledge-attitude-practice theory-based health education on clonorchiasis control among community residents and primary school students in Zhongshan City]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:517-521. [PMID: 38148543 DOI: 10.16250/j.32.1374.2023023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To evaluate the effect of information-knowledge-attitude-practice (IKAP) theory-based health education interventions on clonorchiasis control among community residents and primary school students in Torch High-tech Development Zone of Zhongshan City, so as to provide insights into formulation of clonorchiasis control strategies among different types of populations. METHODS Residents were randomly sampled from two communities and students from two primary schools using a random cluster sampling method in Torch High-tech Development Zone, Zhongshan City from 2019 to 2021, and health education pertaining to clonorchiasis control was performed based on the IKAP theory. The changes in the awareness of basic clonorchiasis control knowledge and belief, self-reported risk of Clonorchis sinensis infections and dietary behaviors were compared among community residents and primary school students before and after health education interventions. RESULTS The participants included 146 male and 151 female community residents and 158 male and 153 female primary school students, with no significant difference detected in gender distribution (χ2 = 0.16, P > 0.05). The mean awareness of basic clonorchiasis control knowledge increased by 44.71% and 43.28% among primary school students and community residents 6 months following health education, and there were significant differences in the awareness of each item of basic clonorchiasis control knowledge before and after health education (χ2 = 41.53 to 284.44, all P values < 0.05). The proportions of primary school students and community residents thinking very high and high risks of C. sinensis infections increased from 9.35% and 6.71% before health education to 22.15% and 37.75% after health education, but only the difference of the attitudes in community residents achieve statistical significance (χ2 = 92.18, P < 0.05). The frequency of separation of raw and cooked foods with chopping board and knife significantly increased among community residents and primary school students following health education (χ2 = 16.04 to 62.65, all P values < 0.05). The frequency of eating raw freshwater fish (χ2 = 32.85, P < 0.05), fish congee (χ2 = 7.02, P < 0.05) and fish fillet hot pot (χ2 = 4.88, P < 0.05) significantly reduced among primary school students following health education, while only the frequency and proportions of eating raw freshwater fish have significantly reduced in community residents (χ2 = 11.77, P < 0.05). CONCLUSIONS Health education interventions based on the IKAP theory are effective to increase the awareness of clonorchiasis control knowledge and improve dietary behaviors associated with C. sinensis infections among community residents and primary school students in Zhongshan City.
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Affiliation(s)
- S Huo
- Center for Community Health Service, Torch High-tech Industrial Development Zone, Zhongshan City, Guangdong 528436, China
| | - Y Zheng
- Center for Community Health Service, Torch High-tech Industrial Development Zone, Zhongshan City, Guangdong 528436, China
| | - S Deng
- Center for Community Health Service, Torch High-tech Industrial Development Zone, Zhongshan City, Guangdong 528436, China
| | - G Huang
- Center for Community Health Service, Torch High-tech Industrial Development Zone, Zhongshan City, Guangdong 528436, China
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11
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Ellis N, Hofer J, Sizer-Coverdale E, Lloyd D, Aubert G, Kreplak J, Burstin J, Cheema J, Bal M, Chen Y, Deng S, Wouters RHM, Steuernagel B, Chayut N, Domoney C. Recombinant inbred lines derived from wide crosses in Pisum. Sci Rep 2023; 13:20408. [PMID: 37990072 PMCID: PMC10663473 DOI: 10.1038/s41598-023-47329-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/12/2023] [Indexed: 11/23/2023] Open
Abstract
Genomic resources are becoming available for Pisum but to link these to phenotypic diversity requires well marked populations segregating for relevant traits. Here we describe two such resources. Two recombinant inbred populations, derived from wide crosses in Pisum are described. One high resolution mapping population involves cv Caméor, for which the first pea whole genome assembly was obtained, crossed to JI0281, a basally divergent P. sativum sativum landrace from Ethiopia. The other is an inter sub-specific cross between P. s. sativum and the independently domesticated P. s. abyssinicum. The corresponding genetic maps provide information on chromosome level sequence assemblies and identify structural differences between the genomes of these two Pisum subspecies. In order to visualise chromosomal translocations that distinguish the mapping parents, we created a simplified version of Threadmapper to optimise it for interactive 3-dimensional display of multiple linkage groups. The genetic mapping of traits affecting seed coat roughness and colour, plant height, axil ring pigmentation, leaflet number and leaflet indentation enabled the definition of their corresponding genomic regions. The consequence of structural rearrangement for trait analysis is illustrated by leaf serration. These analyses pave the way for identification of the underlying genes and illustrate the utility of these publicly available resources. Segregating inbred populations derived from wide crosses in Pisum, together with the associated marker data, are made publicly available for trait dissection. Genetic analysis of these populations is informative about chromosome scale assemblies, structural diversity in the pea genome and has been useful for the fine mapping of several discrete and quantitative traits.
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Affiliation(s)
- N Ellis
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK.
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK.
| | - J Hofer
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
| | - E Sizer-Coverdale
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
- Germinal Horizon, Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
| | - D Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
- Germinal Horizon, Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
| | - G Aubert
- Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, 21000, Dijon, France
| | - J Kreplak
- Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, 21000, Dijon, France
| | - J Burstin
- Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, 21000, Dijon, France
| | - J Cheema
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - M Bal
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - Y Chen
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - S Deng
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - R H M Wouters
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - B Steuernagel
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - N Chayut
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
| | - C Domoney
- John Innes Centre, Norwich Research Park, Colney Lane, Norwich, NR4 7UH, UK
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12
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Bo ZH, Guo Y, Lyu J, Liang H, He J, Deng S, Xu F, Lou X, Dai Q. Relay learning: a physically secure framework for clinical multi-site deep learning. NPJ Digit Med 2023; 6:204. [PMID: 37925578 PMCID: PMC10625523 DOI: 10.1038/s41746-023-00934-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 09/25/2023] [Indexed: 11/06/2023] Open
Abstract
Big data serves as the cornerstone for constructing real-world deep learning systems across various domains. In medicine and healthcare, a single clinical site lacks sufficient data, thus necessitating the involvement of multiple sites. Unfortunately, concerns regarding data security and privacy hinder the sharing and reuse of data across sites. Existing approaches to multi-site clinical learning heavily depend on the security of the network firewall and system implementation. To address this issue, we propose Relay Learning, a secure deep-learning framework that physically isolates clinical data from external intruders while still leveraging the benefits of multi-site big data. We demonstrate the efficacy of Relay Learning in three medical tasks of different diseases and anatomical structures, including structure segmentation of retina fundus, mediastinum tumors diagnosis, and brain midline localization. We evaluate Relay Learning by comparing its performance to alternative solutions through multi-site validation and external validation. Incorporating a total of 41,038 medical images from 21 medical hosts, including 7 external hosts, with non-uniform distributions, we observe significant performance improvements with Relay Learning across all three tasks. Specifically, it achieves an average performance increase of 44.4%, 24.2%, and 36.7% for retinal fundus segmentation, mediastinum tumor diagnosis, and brain midline localization, respectively. Remarkably, Relay Learning even outperforms central learning on external test sets. In the meanwhile, Relay Learning keeps data sovereignty locally without cross-site network connections. We anticipate that Relay Learning will revolutionize clinical multi-site collaboration and reshape the landscape of healthcare in the future.
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Affiliation(s)
- Zi-Hao Bo
- School of Software, Tsinghua University, Beijing, China
- BNRist, Tsinghua University, Beijing, China
| | - Yuchen Guo
- BNRist, Tsinghua University, Beijing, China.
| | - Jinhao Lyu
- Department of Radiology, Chinese PLA General Hospital / Chinese PLA Medical School, Beijing, China
| | - Hengrui Liang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shijie Deng
- Department of Radiology, The 921st Hospital of Chinese PLA, Changsha, China
| | - Feng Xu
- School of Software, Tsinghua University, Beijing, China.
- BNRist, Tsinghua University, Beijing, China.
| | - Xin Lou
- Department of Radiology, Chinese PLA General Hospital / Chinese PLA Medical School, Beijing, China.
| | - Qionghai Dai
- BNRist, Tsinghua University, Beijing, China.
- Department of Automation, Tsinghua University, Beijing, China.
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13
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Zhao W, Chen M, Wang X, Han W, Li R, Shi X, Liu J, Teng C, Deng S, Yuan L. Multidimensional tunable graphene chiral metasurface based on coherent control. Opt Lett 2023; 48:5153-5156. [PMID: 37773408 DOI: 10.1364/ol.500735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/08/2023] [Indexed: 10/01/2023]
Abstract
The deep application of chiral metasurfaces requires higher flexibility. Herein, we propose a multidimensional tunable chiral graphene metasurface, which uses coherent control to obtain more than 0.8 circular conversion dichroism (CCD) at 2.4 THz as a transmission structure. Its operating frequency can be changed in the 1.3-2.4 THz range, while the amplitude has almost perfect modulation depth in the range of 0-0.8. The mechanism of differential absorption was analyzed through numerical simulation. The device designed is easy to obtain reverse CCD, which is used for unit layout and proves its advantages in near-field imaging. Our work has broadened the path for the development of chiral metasurfaces towards higher degrees of freedom.
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14
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Deng S, Liu H, Zou J, Li X, Kuang B, Deng Y, Li H, Wang H. Analysis of Institutional DIBH Coaching Program for Surface Guided-DIBH Patients. Int J Radiat Oncol Biol Phys 2023; 117:e173-e174. [PMID: 37784784 DOI: 10.1016/j.ijrobp.2023.06.1017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Our institute has implemented a surface guided-DIBH (SG-DIBH) coaching program which involves consultation, pre-treatment (CT-sim) and treatment. We would like to analyze the effectiveness of the program. MATERIALS/METHODS A total of 72 left breast cancer patients between 1st Apr 2022 to 9th Dec 2022 were registered for radiation treatment. During consultation, oncologist selected suitable patients based on the following criteria: a) age of 18-70; b) left breast cancer, right breast cancer with internal mammary nodes irradiation or dextrocardia; c) no lung/cardiac disease history & d) volunteer for SG-DIBH technique. The eligible patients were then trained by the coaching therapist using a teaching video and practiced at home. During CT simulation, patients were assessed according to the DIBH evaluation form. The evaluation components included patient's compliancy and understanding, the differences of lateral skin marking (free breathing, FB vs DIBH), duration of breath hold and reproducibility. Patients who passed the evaluation were scanned under both FB and DIBH for SG-DIBH treatment. IMRT-FFF 6 to 7 fields were planned. During SG-DIBH treatment, first 3 fractions and weekly CBCT were taken. Patients were encouraged to continue DIBH practice at home throughout whole course of the treatment and they were given 3 identical survey forms (5 questions) at the beginning, middle and end of treatment. The measure for the success of this coaching program would be number of breath-holds, duration of treatment time, treatment accuracy (CBCT matching) and survey results. RESULTS There were 48 patients who were eligible for DIBH coaching program, however, only 24 patients had passed the coaching evaluation and 20 patients were treated with SG-DIBH technique successfully. The mean of number of breath-hold and treatment time was 7 times and 7.9 minutes. Total of 123 CBCT images were studied. The setup errors were (0.242±0.180) cm, (0.152±0.137) cm, (0.202±0.165) cm, (0.684±0.640) degrees, (0.816±0.767) degrees, (0.912±0.707) degrees in lateral, longitudinal, vertical, pitch, roll and yaw directions. According to the survey analysis, the number of times to practice at home decreased as the treatment went by. An improvement was seen in patients' self-evaluation in mastering DIBH technique with proper coaching program (from 60% to 90%). Patients' anxiety in performing DIBH were alleviated greatly towards the end of the treatment (from 47% to 15%). 100% of the patients were willing to go for DIBH treatment if given a second chance and additional suggestions claimed that professional clinical teams and coaching program were important for their DIBH treatment journey. CONCLUSION A comprehensive DIBH coaching program can effectively identify SG-DIBH patient's suitability. Patient compliancy, treatment accuracy and treatment experience can be enhanced with good coaching program. The involvement of clinical team from consultation to pre-treatment and treatment stage is essential for a successful SG-DIBH treatment.
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Affiliation(s)
- S Deng
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - H Liu
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - J Zou
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - X Li
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - B Kuang
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Y Deng
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - H Li
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - H Wang
- Nanfang Hospital, Southern Medical University, Guangzhou, China
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15
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Li R, Chen M, Shi X, Han W, Wang X, Zhao W, Liu J, Teng C, Deng S, Cheng Y, Yuan L. Semi-embedded slot waveguide electro-optic modulator. Appl Opt 2023; 62:7346-7353. [PMID: 37855501 DOI: 10.1364/ao.498890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 08/29/2023] [Indexed: 10/20/2023]
Abstract
Electro-optic modulators are essential devices on silicon photonic chips in modern optical communication networks. This paper presents a compact, low-loss electro-optic modulator. The modulation efficiency is greatly improved by embedding the lower half of the slot waveguide into the buried oxide layer and inserting graphene at the junction. The interaction of graphene with an optical field in a waveguide is studied using the finite element method. The functions of phase modulation and absorption modulation are realized by changing the gate voltage to change the chemical potential of graphene. The semi-embedded slot waveguide optical modulator has a length of 50 µm. After simulation verification, it can be used as an electro-absorption modulator and can achieve a modulation depth of 26.38 dB and an insertion loss of 0.60 dB. When used as an electro-refractive modulator, it can be realized with a linear change of phase from zero to π; the total insertion loss is only 0.59 dB. The modulator has a modulation bandwidth of 79.6 GHz, and the energy consumption as electro-absorption and electro-refraction modulation are 0.51 and 1.92 pj/bit, respectively. Compared with common electro-optic modulators, the electro-optic modulator designed in this paper has a higher modulation effect and also takes into account the advantages of low insertion loss and low energy consumption. This research is helpful for the design of higher-performance optical communication network devices.
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16
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Zhao W, Cheng Y, Chen M, Deng S, Liu H, Teng C, Yang H, Deng H, Yuan L. SPP excitation and coupling mechanism based on micro/nano fibers. Appl Opt 2023; 62:7199-7204. [PMID: 37855575 DOI: 10.1364/ao.498398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 08/28/2023] [Indexed: 10/20/2023]
Abstract
A hot trend in the development of optoelectronic devices is how to use the principle of surface plasmon resonance to enhance the performance of integrated photonics devices and achieve miniaturization. This paper proposes an accompanying waveguide coupling structure of micro/nano fibers, which consists of two parallel-placed micro/nano fibers (MNFs) coated with a silver film in the waist region and infused with a refractive index matching oil. In the overlapping region, there exists a segment of surface plasmon polaritons (SPPs) coupling area. The excitation and coupling characteristics of SPPs are studied through numerical simulation. Optimal coupling enhancement configuration is obtained by studying variables such as spacing distance, coupling length, and metal film thickness. A comparison is made with the SPP intensity of a single MNF, showing a 220% increase in electric field intensity, demonstrating its excellent coupling effect. By using this coupling structure, exploration of SPPs excitation and coupling mechanisms is enhanced, and structures resembling interferometric devices can be designed, providing new insights for high-performance miniaturized devices.
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Huang L, Chen X, Tao Q, Wang X, Huang X, Fu Y, Yang Y, Deng S, Lin S, So KF, Song X, Ren C. Bright light treatment counteracts stress-induced sleep alterations in mice, via a visual circuit related to the rostromedial tegmental nucleus. PLoS Biol 2023; 21:e3002282. [PMID: 37676855 PMCID: PMC10484455 DOI: 10.1371/journal.pbio.3002282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/31/2023] [Indexed: 09/09/2023] Open
Abstract
Light in the environment greatly impacts a variety of brain functions, including sleep. Clinical evidence suggests that bright light treatment has a beneficial effect on stress-related diseases. Although stress can alter sleep patterns, the effect of bright light treatment on stress-induced sleep alterations and the underlying mechanism are poorly understood. Here, we show that bright light treatment reduces the increase in nonrapid eye movement (NREM) sleep induced by chronic stress through a di-synaptic visual circuit consisting of the thalamic ventral lateral geniculate nucleus and intergeniculate leaflet (vLGN/IGL), lateral habenula (LHb), and rostromedial tegmental nucleus (RMTg). Specifically, chronic stress causes a marked increase in NREM sleep duration and a complementary decrease in wakefulness time in mice. Specific activation of RMTg-projecting LHb neurons or activation of RMTg neurons receiving direct LHb inputs mimics the effects of chronic stress on sleep patterns, while inhibition of RMTg-projecting LHb neurons or RMTg neurons receiving direct LHb inputs reduces the NREM sleep-promoting effects of chronic stress. Importantly, we demonstrate that bright light treatment reduces the NREM sleep-promoting effects of chronic stress through the vLGN/IGL-LHb-RMTg pathway. Together, our results provide a circuit mechanism underlying the effects of bright light treatment on sleep alterations induced by chronic stress.
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Affiliation(s)
- Lu Huang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Xi Chen
- Department of Anesthesiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qian Tao
- Psychology Department, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoli Wang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Xiaodan Huang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Yunwei Fu
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Yan Yang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Shijie Deng
- Department of Anesthesiology, Jiangmen Central Hospital, Guangdong, China
| | - Song Lin
- Physiology Department, School of Medicine, Jinan University, Guangzhou, China
| | - Kwok-Fai So
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, China
- Key Laboratory of Brain and Cognitive Science, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Xingrong Song
- Department of Anesthesiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Chaoran Ren
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong Key Laboratory of Non-human Primate Research, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, China
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
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Shi X, Chen M, Li R, Wang X, Han W, Zhao W, Liu J, Teng C, Deng S, Cheng Y, Yuan L. Nested micro-ring refractive index sensor based on a subwavelength grating waveguide and the Vernier effect. Appl Opt 2023; 62:6205-6211. [PMID: 37707089 DOI: 10.1364/ao.496107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/14/2023] [Indexed: 09/15/2023]
Abstract
In this paper, a nested micro-ring refractive index sensor based on a subwavelength grating waveguide and the Vernier effect is proposed. In this scheme, the nested micro-ring structure is combined with a subwavelength grating structure to enhance the contact area between the optical field and the analyte, and the wavelength offset is doubled through the Vernier effect. The proposed sensor can effectively increase sensing sensitivity, taking into account the improvement of the free spectral range. This structure enables the device to reach a sensitivity of 8030 nm/RIU near 1550 nm wavelength in a deionized water environment, with a detection limit of 5.659×10-5 RIU and free spectral range of 41.956 nm. The device suggested in this study has a greater reduced footprint than the conventional micro-ring resonant sensor, measuring just 35µm×25µm. Due to its high integration, high sensitivity, and large free spectral range compared to conventional micro-ring resonant sensors, such structures are of great value in biosensing and environmental monitoring.
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Rodon Ahnert J, Tan DSW, Garrido-Laguna I, Harb W, Bessudo A, Beck JT, Rottey S, Bahary N, Kotecki N, Zhu Z, Deng S, Kowalski K, Wei C, Pathan N, Laliberte RJ, Messersmith WA. Avelumab or talazoparib in combination with binimetinib in metastatic pancreatic ductal adenocarcinoma: dose-finding results from phase Ib of the JAVELIN PARP MEKi trial. ESMO Open 2023; 8:101584. [PMID: 37379764 PMCID: PMC10515283 DOI: 10.1016/j.esmoop.2023.101584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/07/2023] [Accepted: 05/15/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Combinations of avelumab [anti-programmed death-ligand 1 (anti-PD-L1)] or talazoparib [poly(adenosine diphosphate ribose) polymerase (PARP) inhibitor] with binimetinib (MEK inhibitor) were expected to result in additive or synergistic antitumor activity relative to each drug administered alone. Here, we report phase Ib results from JAVELIN PARP MEKi, which investigated avelumab or talazoparib combined with binimetinib in metastatic pancreatic ductal adenocarcinoma (mPDAC). PATIENTS AND METHODS Patients with mPDAC that had progressed with prior treatment received avelumab 800 mg every 2 weeks plus binimetinib 45 mg or 30 mg two times daily (continuous), or talazoparib 0.75 mg daily plus binimetinib 45 mg or 30 mg two times daily (7 days on/7 days off). The primary endpoint was dose-limiting toxicity (DLT). RESULTS A total of 22 patients received avelumab plus binimetinib 45 mg (n = 12) or 30 mg (n = 10). Among DLT-evaluable patients, DLT occurred in five of 11 patients (45.5%) at the 45-mg dose, necessitating de-escalation to 30 mg; DLT occurred in three of 10 patients (30.0%) at the 30-mg dose. Among patients treated at the 45-mg dose, one (8.3%) had a best overall response of partial response. Thirteen patients received talazoparib plus binimetinib 45 mg (n = 6) or 30 mg (n = 7). Among DLT-evaluable patients, DLT occurred in two of five patients (40.0%) at the 45-mg dose, necessitating de-escalation to 30 mg; DLT occurred in two of six patients (33.3%) at the 30-mg dose. No objective responses were observed. CONCLUSIONS Combinations of avelumab or talazoparib plus binimetinib resulted in higher-than-expected DLT rates. However, most DLTs were single occurrences, and the overall safety profiles were generally consistent with those reported for the single agents. CLINICAL TRIAL REGISTRATION ClinicalTrials.govNCT03637491; https://clinicaltrials.gov/ct2/show/NCT03637491.
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Affiliation(s)
- J Rodon Ahnert
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA.
| | - D S-W Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - I Garrido-Laguna
- Division of Oncology, University of Utah Huntsman Cancer Institute, Salt Lake City, USA
| | - W Harb
- Syneos Health, Morrisville, USA
| | - A Bessudo
- California Cancer Associates for Research and Excellence, San Diego, USA
| | - J T Beck
- Highlands Oncology, Springdale, USA
| | - S Rottey
- Department of Medical Oncology, UZ Gent, Gent, Belgium
| | - N Bahary
- AHN Cancer Institute, Allegheny Health Network, Pittsburgh, USA
| | - N Kotecki
- Department of Medical Oncology, Jules Bordet Institute, Brussels, Belgium
| | | | | | | | | | | | | | - W A Messersmith
- Division of Medical Oncology, University of Colorado Cancer Center, Aurora, USA
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20
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Xue M, Zhu Y, Jiang Y, Han L, Shi M, Su R, Wang L, Xiong C, Wang C, Wang T, Deng S, Wu D, Cao Y, Dong L, Bai F, Zhao S, Deng X, Peng C, Li H, Chen J, Shen B, Jiang L, Chen H. Schwann cells regulate tumor cells and cancer-associated fibroblasts in the pancreatic ductal adenocarcinoma microenvironment. Nat Commun 2023; 14:4600. [PMID: 37524695 PMCID: PMC10390497 DOI: 10.1038/s41467-023-40314-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 07/21/2023] [Indexed: 08/02/2023] Open
Abstract
Neuropathy is a feature more frequently observed in pancreatic ductal adenocarcinoma (PDAC) than other tumors. Schwann cells, the most prevalent cell type in peripheral nerves, migrate toward tumor cells and associate with poor prognosis in PDAC. To unveil the effects of Schwann cells on the neuro-stroma niche, here we perform single-cell RNA-sequencing and microarray-based spatial transcriptome analysis of PDAC tissues. Results suggest that Schwann cells may drive tumor cells and cancer-associated fibroblasts (CAFs) to more malignant subtypes: basal-like and inflammatory CAFs (iCAFs), respectively. Moreover, in vitro and in vivo assays demonstrate that Schwann cells enhance the proliferation and migration of PDAC cells via Midkine signaling and promote the switch of CAFs to iCAFs via interleukin-1α. Culture of tumor cells and CAFs with Schwann cells conditioned medium accelerates PDAC progression. Thus, we reveal that Schwann cells induce malignant subtypes of tumor cells and CAFs in the PDAC milieu.
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Affiliation(s)
- Meilin Xue
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Youwei Zhu
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yongsheng Jiang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lijie Han
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Minmin Shi
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Su
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Liwen Wang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cheng Xiong
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chaofu Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shijie Deng
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong Wu
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Yizhi Cao
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Shulin Zhao
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaxing Deng
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenghong Peng
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongwei Li
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Baiyong Shen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Lingxi Jiang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Hao Chen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
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21
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Pofelski A, Deng S, Yu H, Park TJ, Jia H, Manna S, Chan MKY, Sankaranarayanan SKR, Ramanathan S, Zhu Y. Dopant Mapping of Partially Hydrogenated Vanadium Dioxide using the Energy Loss Near Edge Structure Technique. Microsc Microanal 2023; 29:1667-1668. [PMID: 37613910 DOI: 10.1093/micmic/ozad067.858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- A Pofelski
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, NY, USA
| | - S Deng
- School of Materials Engineering, Purdue University, West Lafayette, IN, USA
| | - H Yu
- School of Materials Engineering, Purdue University, West Lafayette, IN, USA
| | - T J Park
- School of Materials Engineering, Purdue University, West Lafayette, IN, USA
| | - H Jia
- Center for Nanoscale Materials, Argonne National Laboratory, Lemont, IL, USA
| | - S Manna
- Center for Nanoscale Materials, Argonne National Laboratory, Lemont, IL, USA
- Department of Mechanical and Industrial Engineering, University of Illinois, Chicago, IL, USA
| | - M K Y Chan
- Center for Nanoscale Materials, Argonne National Laboratory, Lemont, IL, USA
| | - S K Rs Sankaranarayanan
- Center for Nanoscale Materials, Argonne National Laboratory, Lemont, IL, USA
- Department of Mechanical and Industrial Engineering, University of Illinois, Chicago, IL, USA
| | - S Ramanathan
- School of Materials Engineering, Purdue University, West Lafayette, IN, USA
- Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Y Zhu
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, NY, USA
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22
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Wang X, Chen M, Zhao W, Shi X, Han W, Li R, Liu J, Teng C, Deng S, Cheng Y, Yuan L. Terahertz broadband tunable chiral metamirror based on VO 2-metal hybrid structure. Opt Express 2023; 31:22144-22156. [PMID: 37381295 DOI: 10.1364/oe.492961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/02/2023] [Indexed: 06/30/2023]
Abstract
Aiming at the problems of narrow working bandwidth, low efficiency, and complex structure of existing terahertz chiral absorption, we propose a chiral metamirror composed of C-shaped metal split ring and L-shaped vanadium dioxide (VO2). This chiral metamirror is composed of three layers of structure, a gold substrate at the bottom, the first polyethylene cyclic olefin copolymer (Topas) dielectric layer and VO2-metal hybrid structure as the top. Our theoretical results led us to show that this chiral metamirror has a circular dichroism (CD) value greater than 0.9 at 5.70 to 8.55 THz and has a maximum value of 0.942 at f = 7.18 THz. In addition, by adjusting the conductivity of VO2, the CD value can be continuously adjustable from 0 to 0.942, which means that the proposed chiral metamirror supports the free switching of the CD response between the on and off states, and the CD modulation depth exceeds 0.99 in the range of 3 to 10 THz. Moreover, we discuss the influence of structural parameters and the change of incident angle on the performance of the metamirror. Finally, we believe that the proposed chiral metamirror has important reference value in the terahertz range for constructing chiral light detectors, CD metamirrors, switchable chiral absorbers and spin-related systems. This work will provide a new idea for improving the terahertz chiral metamirror operating bandwidth and promote the development of terahertz broadband tunable chiral optical devices.
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23
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Xiong J, Chen M, Liu J, Wu Z, Teng C, Deng S, Liu H, Qu S, Yuan L, Cheng Y. Ultra-compact on-chip meta-waveguide phase modulator based on split ring magnetic resonance. Appl Opt 2023; 62:4060-4073. [PMID: 37706718 DOI: 10.1364/ao.487760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/25/2023] [Indexed: 09/15/2023]
Abstract
With the development of photonic integration technology, meta-waveguides have become a new research hotspot. They have broken through the theoretical diffraction limit by virtue of the strong electromagnetic manipulation ability of the metasurface and the strong electromagnetic field limitation and guidance ability of the waveguide. However, the reported meta-waveguides lack research on dynamic modulation. Therefore, we analyze the modulation effect of the metasurface on the optical field in the waveguide and design an ultra-compact on-chip meta-waveguide phase modulator using split ring magnetic resonance. It has a very short modulation length of only 3.65 µm, wide modulation bandwidth of 116.8 GHz, and low energy consumption of 263.49 fJ/bit. By optimizing the structure, the energy consumption can be further reduced to 90.69 fJ/bit. Meta-waveguides provide a promising method for the design of integrated photonic devices.
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24
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Li A, Ruan M, Fei X, Xu H, Deng S, Bi R, Yang W, Dong L. Altered cytokeratin 5 expression in breast lobular myoepithelial cells. J Clin Pathol 2023:jcp-2023-208835. [PMID: 37116947 DOI: 10.1136/jcp-2023-208835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/11/2023] [Indexed: 04/30/2023]
Abstract
AIMS Cytokeratin 5 (CK5) is a surrogate maker of progenitor cells and early glandular and myoepithelial cells (MECs) in the breast, and CK5 expression in breast MECs varies from ducts to lobules, and from normal to diseased tissue. However, the mechanisms underlying immunophenotypic alterations of CK5 expression in MECs remain unclear. METHODS CK5 expression in MECs of 20 normal breast samples, 58 ductal carcinoma in situ (DCIS; including 21 DCIS with extensive lobular involvement), 11 atypical ductal hyperplasia (ADH), 18 non-invasive lobular neoplasia consisting of 11 atypical lobular hyperplasia (ALH) and 7 lobular carcinoma in situ (LCIS), 20 cystic lobules and 10 usual ductal hyperplasia (UDH) involving lobules were observed to evaluate the effects of contact with benign hyperplastic or cancerous luminal cells and pressure of dilated glands on CK5 expression. RESULTS CK5 expression in normal ductal MECs was exclusively positive, whereas most normal lobular MECs were negative. In DCIS, cancerous ducts were primarily surrounded by CK5-positive MECs (91.0%), as were lobular acini involved by DCIS (89.2%), while the remaining normal acini maintained CK5-negative. CK5-positive MECs were found in 57.5% of acini in ALH and were more prevalent in LCIS (70.7%). CK5 expression was occasionally positive in both cystic lobules (16.7%) and lobules involved by UDH (14.3%), while an increase of CK5-positive MECs was found in ADH (38.2%). CONCLUSIONS These results suggest that CK5 expression in lobular MECs may be altered by contact with cancerous luminal cells rather than benign hyperplastic luminal cells or pressure from dilated glands.
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Affiliation(s)
- Anqi Li
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
| | - Miao Ruan
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
| | - Xiaochun Fei
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
| | - Haimin Xu
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
| | - Shijie Deng
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
| | - Rui Bi
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
| | - Wentao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
| | - Lei Dong
- Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
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25
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Wen J, Liu C, Deng S, Liu Y, Fei L, Yan K, Xu Y. Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans Neural Netw Learn Syst 2023; PP:1-13. [PMID: 37030862 DOI: 10.1109/tnnls.2023.3260349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
View missing and label missing are two challenging problems in the applications of multi-view multi-label classification scenery. In the past years, many efforts have been made to address the incomplete multi-view learning or incomplete multi-label learning problem. However, few works can simultaneously handle the challenging case with both the incomplete issues. In this article, we propose a new incomplete multi-view multi-label learning network to address this challenging issue. The proposed method is composed of four major parts: view-specific deep feature extraction network, weighted representation fusion module, classification module, and view-specific deep decoder network. By, respectively, integrating the view missing information and label missing information into the weighted fusion module and classification module, the proposed method can effectively reduce the negative influence caused by two such incomplete issues and sufficiently explore the available data and label information to obtain the most discriminative feature extractor and classifier. Furthermore, our method can be trained in both supervised and semi-supervised manners, which has important implications for flexible deployment. Experimental results on five benchmarks in supervised and semi-supervised cases demonstrate that the proposed method can greatly enhance the classification performance on the difficult incomplete multi-view multi-label classification tasks with missing labels and missing views.
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26
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Wu Y, Huang T, Li X, Shen C, Ren H, Wang H, Wu T, Fu X, Deng S, Feng Z, Xiong S, Li H, Gao S, Yang Z, Gao F, Dong L, Cheng J, Cai W. Retinol dehydrogenase 10 reduction mediated retinol metabolism disorder promotes diabetic cardiomyopathy in male mice. Nat Commun 2023; 14:1181. [PMID: 36864033 PMCID: PMC9981688 DOI: 10.1038/s41467-023-36837-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/20/2023] [Indexed: 03/04/2023] Open
Abstract
Diabetic cardiomyopathy is a primary myocardial injury induced by diabetes with complex pathogenesis. In this study, we identify disordered cardiac retinol metabolism in type 2 diabetic male mice and patients characterized by retinol overload, all-trans retinoic acid deficiency. By supplementing type 2 diabetic male mice with retinol or all-trans retinoic acid, we demonstrate that both cardiac retinol overload and all-trans retinoic acid deficiency promote diabetic cardiomyopathy. Mechanistically, by constructing cardiomyocyte-specific conditional retinol dehydrogenase 10-knockout male mice and overexpressing retinol dehydrogenase 10 in male type 2 diabetic mice via adeno-associated virus, we verify that the reduction in cardiac retinol dehydrogenase 10 is the initiating factor for cardiac retinol metabolism disorder and results in diabetic cardiomyopathy through lipotoxicity and ferroptosis. Therefore, we suggest that the reduction of cardiac retinol dehydrogenase 10 and its mediated disorder of cardiac retinol metabolism is a new mechanism underlying diabetic cardiomyopathy.
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Affiliation(s)
- Yandi Wu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Tongsheng Huang
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xinghui Li
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Conghui Shen
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Honglin Ren
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Haiping Wang
- Prenatal Diagnosis Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Teng Wu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xinlu Fu
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Shijie Deng
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Ziqi Feng
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Shijie Xiong
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Hui Li
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Saifei Gao
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Zhenyu Yang
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Fei Gao
- Durbrain Medical Laboratory, Hangzhou, 310000, Zhejiang, China
| | - Lele Dong
- Durbrain Medical Laboratory, Hangzhou, 310000, Zhejiang, China
| | - Jianding Cheng
- Department of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Weibin Cai
- Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, Guangdong, China.
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27
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Zhao W, Chen M, Wang X, Liu J, Wu Z, Teng C, Deng S, Cheng Y, Yuan L. Adjustable strong circular dichroism based on a tricircular arc metasurface. Appl Opt 2023; 62:1730-1737. [PMID: 37132919 DOI: 10.1364/ao.478817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Circular dichroism has promising applications in biology, molecular chemistry, and other fields. The key to obtaining strong circular dichroism is to introduce symmetry breaking into the structure, which leads to a great difference in the response to different circularly polarized waves. Here, we propose a metasurface structure based on three circular arcs, which produces strong circular dichroism. The metasurface structure combines the split ring with the three circular arcs and increases the structural asymmetry by changing the relative torsional angle. The causes of the strong circular dichroism are analyzed in this paper, and the influence of metasurface parameters on it is discussed. According to the simulation data, the response of the proposed metasurface to different circularly polarized waves varies greatly, with absorption of up to 0.99 at 5.095 THz for a left-handed circularly polarized wave and a maximum circular dichroism of over 0.93. In addition, the incorporation of the phase change material vanadium dioxide on the structure allows flexible modulation of circular dichroism and modulation depths of up to 98.6%. The change of angle within a certain range has little effect on the structural performance. We believe that this flexible and angle robust chiral metasurface structure is suitable for complex reality, and large modulation depth is more practical.
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Deng S, Wen J, Liu C, Yan K, Xu G, Xu Y. Projective Incomplete Multi-View Clustering. IEEE Trans Neural Netw Learn Syst 2023; PP:1-13. [PMID: 37022886 DOI: 10.1109/tnnls.2023.3242473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Due to the rapid development of multimedia technology and sensor technology, multi-view clustering (MVC) has become a research hotspot in machine learning, data mining, and other fields and has been developed significantly in the past decades. Compared with single-view clustering, MVC improves clustering performance by exploiting complementary and consistent information among different views. Such methods are all based on the assumption of complete views, which means that all the views of all the samples exist. It limits the application of MVC, because there are always missing views in practical situations. In recent years, many methods have been proposed to solve the incomplete MVC (IMVC) problem and a kind of popular method is based on matrix factorization (MF). However, such methods generally cannot deal with new samples and do not take into account the imbalance of information between different views. To address these two issues, we propose a new IMVC method, in which a novel and simple graph regularized projective consensus representation learning model is formulated for incomplete multi-view data clustering task. Compared with the existing methods, our method not only can obtain a set of projections to handle new samples but also can explore information of multiple views in a balanced way by learning the consensus representation in a unified low-dimensional subspace. In addition, a graph constraint is imposed on the consensus representation to mine the structural information inside the data. Experimental results on four datasets show that our method successfully accomplishes the IMVC task and obtain the best clustering performance most of the time. Our implementation is available at https://github.com/Dshijie/PIMVC.
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Li H, Yuan L, Yang H, Guo Y, Zheng W, Fan K, Deng S, Gong L, Xu H, Yang Z, Cheng J, Kang M, Deng H. Analysis of SOD1 Variants in Chinese Patients with Familial Amyotrophic Lateral Sclerosis. QJM 2023; 116:365-374. [PMID: 36661322 DOI: 10.1093/qjmed/hcad010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/27/2022] [Accepted: 01/10/2023] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease, and genetic contributors exert a significant role in the complicated pathogenesis. Identification of the genetic causes in ALS families could be valuable for early diagnosis and management. The development of potential drugs for patients with genetic defects will shed new light on ALS therapy. AIM To identify causative variants in three Chinese families with familial ALS (FALS), reveal the pathogenic mechanism, and look for the targeted drug for ALS. DESIGN AND METHODS Whole-exome sequencing and bioinformatics were used to perform genetic analysis of the ALS families. Functional analysis was performed to study the variants' function and search for potential drug targets. RESULTS Three heterozygous missense variants of the SOD1 gene were identified in families with FALS. The clinical manifestations of these patients include spinal onset, predominant lower motor neurons presentation, and absence of cognitive involvement. Functional analysis showed that all three SOD1 variants led to increased reactive oxygen species (ROS) levels, reduced cell viability, and formation of cytoplasmic aggregates. Remarkably, the decreased cell viability induced by variants was rescued after treatment with the ROS inhibitor N-acetylcysteine. CONCLUSIONS This study identified three SOD1 variants in three families with FALS. The variant SOD1 toxicity was associated with oxidative damage and aggregation, and N-acetylcysteine could rescue the decreased cell viability induced by these variants. Our findings support a pathogenic role for ROS in SOD1 deficiencies, and provide a potential drug N-acetylcysteine for ALS therapy, especially in SOD1-patients with limb onset.
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Affiliation(s)
- H Li
- Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, China
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
| | - L Yuan
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
- Disease Genome Research Center, Central South University, Changsha, China
| | - H Yang
- Department of Neurology, the Second Affiliated Hospital of Guizhou Medical University, Kaili, China
| | - Y Guo
- Department of Medical Information, School of Life Sciences, Central South University, Changsha, China
| | - W Zheng
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - K Fan
- Department of Neurology, Guizhou Provincial People's Hospital, Guiyang, China
| | - S Deng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - L Gong
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - H Xu
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Z Yang
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
| | - J Cheng
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
| | - M Kang
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
| | - H Deng
- Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, China
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
- Disease Genome Research Center, Central South University, Changsha, China
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Chuanxin T, Shao P, Min R, Deng H, Chen M, Deng S, Hu X, Marques C, Yuan L. Simultaneous measurement of refractive index and temperature based on a side-polish and V-groove plastic optical fiber SPR sensor. Opt Lett 2023; 48:235-238. [PMID: 36638426 DOI: 10.1364/ol.478685] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/18/2022] [Indexed: 06/17/2023]
Abstract
A simple plastic optical fiber (POF) based surface plasmon resonance (SPR) sensor is proposed and demonstrated for simultaneous measurement of refractive index (RI) and temperature. The sensor consists of a series of V-grooves along the POF and a side-polish structure at the other side of the fiber. The V-groove structure can alter the SPR excitation angle and act as a mode filter, effectively enhancing the SPR effect and narrowing the SPR wavelength width. After coating a layer of thermosensitive material-polydimethylsiloxane (PDMS) film on half part of the fiber probe, a dual-parameter sensor probe is obtained for RI and temperature measurement. Experimental results show the RI sensitivity of the prepared probe can reach 1546 nm/RIU in the RI range of 1.335-1.37 RIU and the temperature sensitivity is -0.83 nm/°C in the temperature range of 20-80°C. The sensor is simple in structure and low cost, and has potential applications in the biochemical sensing fields.
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Xu J, Tang J, Chen M, Teng C, Deng S, Cheng Y, Qu S, Yuan L. Actively tunable linear and circular dichroic metamirrors based on single-layer graphene. Opt Express 2023; 31:381-395. [PMID: 36606974 DOI: 10.1364/oe.479151] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Aiming at the problems of low efficiency, single function and complex structure of the existing dichroic metamirrors, the actively tunable linear and circular dichroic metamirrors based on single-layer graphene are proposed in this study. The designed metamirrors are mainly composed of the ion-gel, patterned graphene, polyimide, polysilicon and gold substrates. The anisotropy of the achiral structures can be used to realize circular dichroism (0.8) and linear dichroism (0.9) in two directions at the same time without functional switching. Additionally, the incidence angle of electromagnetic waves, rather than the structural chirality, is used to create the exceptionally strong dichroism. The proposed metamirrors not only increase the integration, but also reduce the angular dispersion and complexity of the structure. What's more, by changing the Fermi level of graphene, the CD function of the metamirrors can be tuned in the range of 0 - 0.8, and the LD function can be tuned in the range of 0.22 - 0.9. The designed metamirrors can achieve dual functions under a wide range of incident angles, and can be widely used in various fields such as terahertz imaging, biological detection, optical sensing, and spectrometry.
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Yang Y, Deng S, Wang C, Wang Y, Shi Y, Lin J, Wang N, Su L, Yang F, Wang H, Zhu S. Association of Dental Caries with Muscle Mass, Muscle Strength, and Sarcopenia: A Community-Based Study. J Nutr Health Aging 2023; 27:10-20. [PMID: 36651482 DOI: 10.1007/s12603-022-1875-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Changes in the oral cavity can reflect other changes throughout the body. This study aimed to investigate the association of dental caries with muscle mass, muscle strength, and sarcopenia, and also to describe the microbial diversity, composition, and community structure of severe dental caries and sarcopenia. DESIGN Cross-sectional study based on a Chinese population aged from 50 to 85 years. SETTING Communities from Lanxi City, Zhejiang Province, China. PARTICIPANTS A total of 1,442 participants aged from 50 to 85 years from a general community (62.8% women; median age 61.0 [interquartile range: 55.0, 68.0]). MEASUREMENTS Dental caries was assessed by the decayed, missing, and filled teeth (DMFT) index. Sarcopenia was defined as the presence of both low muscle mass (assessed by dual-energy X-ray absorptiometry scanning) and low muscle strength (assessed by handgrip strength). Multivariate logistic regression models were used to analyze the association of dental caries with muscle mass, muscle strength, and sarcopenia. Fecal samples underwent 16S rRNA profiling to evaluate the diversity and composition of the gut microbiota in patients with severe dental caries and/or sarcopenia. RESULTS In the fully adjusted logistic models, dental caries was positively associated with low muscle strength (DMFT ≥ 7: OR, 1.61; 95% CI, 1.25-2.06), and sarcopenia (DMFT ≥ 7: OR, 1.51; 95% CI, 1.01-2.26), but not low muscle mass. Severe dental caries was positively associated with higher alpha-diversity indices (richness, chao1, and ACE, all p < 0.05) and associated with beta-diversity based on Bray-Curtis distance (p = 0.006). The severe dental caries group and the sarcopenia group overlapped with 11 depleted and 13 enriched genera. CONCLUSION Dental caries was positively associated with low muscle strength and sarcopenia but not muscle mass, and this association was more pronounced in male individuals. Significant differences were observed in gut microbiota composition both in severe dental caries and sarcopenia, and there was an overlap of the genera features. Future longitudinal studies are needed to clarify causal relationships.
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Affiliation(s)
- Y Yang
- Dr. Huiming Wang, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, North Qiutao Road No.166, Hangzhou, Zhejiang, China, ; Tel: 13858092696; Fax: 0571-87217433; Dr. Shankuan Zhu, Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; ; Tel : +86-571-8820-8520; Fax: +86-571-8820-8520
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Luo Z, Zhang W, Song N, Chen D, Deng S, Liu H, Ming C, Yuan L, Deng H. Fiber-integrated catenary ring-array metasurfaces for beam shaping. Opt Lett 2023; 48:25-28. [PMID: 36563359 DOI: 10.1364/ol.476289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
Catenary is referred to as "the real mathematical and mechanical form" in the architectural field. Because of the unique phase control characteristic of the catenary, it has excellent ability in optical manipulation. Here, we propose an optical waveform conversion device based on optical fiber-integrated catenary ring-array metasurfaces. The device consists of a cascade structure of a single-mode fiber (SMF) and a graded-index fiber (GIF). At the GIF end, two kinds of catenary ring-array metasurfaces are introduced to realize beam shaping from Gaussian beam (GB) to Bessel beam. The device can selectively generate a focused or non-diffracting Bessel beam by changing the circular polarization state of the incident light. It is worth noting that under some parameters of the device, the output Bessel beam can break through the diffraction limit, which has potential applications in the fields of optical imaging, optical communication, and optical trapping.
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Zhao W, Xiong M, Chen M, Cheng Y, Deng S, Liu H, Teng C, Yang H, Deng H, Yuan L. Simulation study of a temperature-calibrated double-sided polished optical fiber SPR refractive index sensor. Appl Opt 2022; 61:9583-9589. [PMID: 36606895 DOI: 10.1364/ao.474495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/04/2022] [Indexed: 06/17/2023]
Abstract
The temperature of the environment directly affects the accuracy of refractive index (RI) measurement. Therefore, we propose a double-sided polished surface plasmon resonance (SPR) RI fiber sensor, which is available for simultaneous measurement of the RI and temperature in real time. The proposed sensor uses single-mode fiber as a special double-sided polishing structure. The double-sided polishing regions are coated with a gold-silver hybrid film; one side is additionally coated with graphene layers to increase detection sensitivity, and the other side is coated with polydimethylsiloxane on the metal layer for temperature sensing. The simulation result shows that in the range from 1.33 to 1.35, RI sensitivity reaches as high as 2600 nm/RIU. In the range from 15°C to 85°C, temperature sensitivity reaches as high as -3.5n m/∘ C. The full width at half maximum is 65 nm. Compared with previous studies, the sensitivity is slightly improved, and an excellent temperature compensation effect can be achieved. It is suitable for high-precision measurement of the environment and biochemical aspects.
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Huang W, Leng JH, Pei TJ, Li R, Ruan XY, Xu B, Liang XY, Wang GY, Zhou YF, Xu CJ, Zhang XM, Yao SZ, Lu MS, Ma XX, Liu CD, Xue Q, Tang L, Dai Y, Liu Y, Deng S, Guan J, Zhang W, Li L, Ren CC, He YD, Yang XY, Ouyang YW, Zhu HL, Xiao L, Chen G, Lang JH. [Fertility protection and preservation for patients with endometriosis: a Chinese consensus (2022)]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:733-739. [PMID: 36299175 DOI: 10.3760/cma.j.cn112141-20220427-00329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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Zygmunt A, Deng S, Donkervoort S, Mohassel P, Bharucha-Goebel D, Saade D, Neuhaus S, Dastgir J, Acquaye N, Hinkley L, Lehky T, Foley A, Bönnemann C. P.33 Muscle ultrasound use in the initial diagnosis of childhood onset neuropathy and neuronopathy. Neuromuscul Disord 2022. [DOI: 10.1016/j.nmd.2022.07.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Powles T, Sridhar S, Bellmunt J, Sternberg C, Grivas P, Hunter E, Dezfouli M, Salter M, Powell R, Dring A, Green J, Akoulitchev A, Amezquita R, Ching K, Pu J, Deng S, di Pietro A, Davis C. LBA74 Genomic biomarkers in peripheral blood (PB) from patients (pts) enrolled in the JAVELIN Bladder 100 trial of avelumab first-line (1L) maintenance in advanced urothelial carcinoma (aUC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.08.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Dummer R, Pathan N, Deng S, Robert C, Arance Fernandez A, de Groot J, Garbe C, Gogas H, Gutzmer R, Krajsova I, Liszkay G, Loquai C, Mandala M, Schadendorf D, Yamazaki N, di Pietro A, Xie T, Ascierto P, Flaherty K. 786O Tumor biomarker analysis from COLUMBUS part 1: Encorafenib + binimetinib for BRAF V600E/K-mutant advanced or metastatic melanoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Teng C, Ying S, Min R, Deng S, Deng H, Chen M, Chu X, Yuan L, Cheng Y, Xue M. Side-Polish Plastic Optical Fiber Based SPR Sensor for Refractive Index and Liquid-Level Sensing. Sensors (Basel) 2022; 22:6241. [PMID: 36015998 PMCID: PMC9413881 DOI: 10.3390/s22166241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
In this work, a simple side-polish plastic optical fiber (POF)-based surface plasmon resonance (SPR) sensor is proposed and demonstrated for simultaneous measurement of refractive index (RI) and liquid level. The effects of side-polish depths on the sensing performance were studied. The experimental results show that the SPR peak wavelength will be changed as the RI changes, and the SPR peak intensity will be changed with the liquid level variation. By monitoring the changes in peak wavelength and intensity, the RI and liquid level can be detected simultaneously. Experimental results show that an RI sensitivity of 2008.58 nm/RIU can be reached at an RI of 1.39. This sensor has the advantages of simple structure and low cost, which has a good prospect in the field of biochemical sensing.
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Affiliation(s)
- Chuanxin Teng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Shiyuan Ying
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Rui Min
- State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University at Zhuhai, Zhuhai 519087, China
| | - Shijie Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Hongchang Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Ming Chen
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Xiaoxue Chu
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China
| | - Libo Yuan
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Yu Cheng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Minmin Xue
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
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Xiong M, Teng C, Chen M, Cheng Y, Deng S, Li F, Deng H, Liu H, Yuan L. Simulation Study of High Sensitivity Fiber SPR Temperature Sensor with Liquid Filling. Sensors (Basel) 2022; 22:s22155713. [PMID: 35957275 PMCID: PMC9370866 DOI: 10.3390/s22155713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 05/04/2023]
Abstract
In this paper, a high sensitivity fiber temperature sensor based on surface plasmon resonance is designed and studied. In the simulation, the single mode fiber is polished to remove most of the cladding, and then gold and silver films are added. Finally, it is embedded in the heat shrinkable tube filled with a thermo-optic coefficient liquid for curing. The numerical simulation results show that the sensing characteristics are sensitive to the remaining cladding thickness of the fiber, the thickness of the gold film and the thickness of the silver film. When the thermo-optic coefficient of the filling liquid is -2.8 × 10-4/°C, the thickness of the gold film, the thickness of the silver film and the thickness of the remaining cladding of the fiber are 30 nm, 20 nm and 1 μm, respectively. The sensitivity of the sensor designed in this paper can reach -6 nm/°C; this result is slightly higher than that of similar research in recent years. It will have a promising application prospect in flexible wearable temperature sensors, smart cities and other fields.
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Affiliation(s)
- Min Xiong
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Chuanxin Teng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Ming Chen
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Yu Cheng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
- Correspondence:
| | - Shijie Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Fuwang Li
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Hongchang Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Houquan Liu
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Libo Yuan
- Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China; (M.X.); (C.T.); (M.C.); (S.D.); (F.L.); (H.D.); (H.L.); (L.Y.)
- College of Photonic and Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
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Tong JL, Feng LM, Xue FX, Shen DH, Hao M, Guo RX, Huang XF, Deng S, Xu DB, Song JD, Wang G, Zhu L, Chen YQ, Feng Y, Lang JH, Zhu L. [Clinical pathway for diagnosis and management of endometrial polyps]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:491-495. [PMID: 35902782 DOI: 10.3760/cma.j.cn112141-20220422-00269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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Waddington J, Zhou R, Coleman O, Wundervald B, Parnell A, Mease PJ, Chandran V, Fallon L, Chapman D, Pollock R, Deng S, Fitzgerald O, Pennington S. POS1045 MASS SPECTROMETRY-BASED PROTEOMICS FOR THE IDENTIFICATION OF CANDIDATE SERUM PROTEIN BIOMARKERS THAT MAY PREDICT TREATMENT RESPONSE IN PATIENTS WITH PSORIATIC ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) has identified a need for biomarkers to predict which patients (pts) with psoriatic arthritis (PsA) are most likely to respond to a specific therapy. Failure to identify effective treatments early on results in sub-optimal PsA disease management. Tofacitinib is an oral JAK inhibitor for the treatment of PsA. The efficacy and safety of tofacitinib 5 and 10 mg twice daily (BID) in pts with PsA have been demonstrated.1,2ObjectivesTo identify protein biomarker candidates, which may identify responders (R) vs non-responders (NR) to treatment of PsA, using mass spectrometry-based proteomics.MethodsBaseline (BL) serum samples from pts with PsA receiving tofacitinib 5 or 10 mg BID, adalimumab or placebo in OPAL Broaden (NCT01877668)1 were analysed. Pts were identified as R and NR based on the Psoriatic Arthritis Disease Activity Score (PASDAS) at Month 3; pts with lowest PASDAS ≤3.2 were defined as R, those with highest PASDAS >3.2 as NR. Two proteomic strategies were employed for analysis of BL serum samples: (1) targeted mass spectrometric multiple reaction monitoring analysis of an in-house panel (‘PAPRICA’) comprising of 206 proteins, originally developed to distinguish between different arthropathies, and (2) unbiased discovery liquid chromatography-tandem mass spectrometry (LC-MS/MS). PAPRICA data were normalised using two methods: normalisation to stable isotopically labelled peptide spike-ins (SIL; corrects for fluctuations in sample injections/mass spectrometry loading amounts), and normalisation to an endogenous peptide panel representing total serum protein abundance (TSPA; corrects for different amounts of total serum protein across samples). Univariate analyses (Student’s t-test) and multivariate machine learning Random Forest (RF) modelling3 were performed. Univariate analysis of the PAPRICA panel of proteins was performed on R vs NR, and within each treatment arm, with no adjustment for multiplicity.Results96 pts were identified as 47 R and 49 NR based on PASDAS scores. Of pts receiving tofacitinib 5 or 10 mg BID (data pooled), adalimumab or placebo, there were 26 R vs 26 NR, 13 R vs 13 NR and 8 R vs 10 NR, respectively. Results from univariate analysis identified 110 differentially expressed PAPRICA peptides between R vs NR (p≤0.05). RF multivariate analysis of all data (n=96) revealed a set of PAPRICA peptide signatures with the ability to differentiate between R and NR. Two RF models generated from the PAPRICA peptide data had training area under curves (AUCs) 0.956 [95% CI 0.93, 0.99] (TSPA) and 0.959 [95% CI 0.94, 0.98] (SIL). In total, 115 PAPRICA peptides representing 87 proteins were identified as potential biomarkers for predicting treatment response. Using unbiased discovery LC-MS/MS, univariate analysis of all data revealed one candidate peptide biomarker (p≤0.05). RF modelling revealed peptides that contributed to two prediction models with training AUCs of 0.903 [95% CI 0.86, 0.96] and 0.928 [95% CI 0.89, 0.96]. In total, from unbiased discovery LC-MS/MS, 66 peptides representing 39 proteins that may act as potential peptide biomarkers were identified in univariate and multivariate analyses.ConclusionUsing two complementary proteomic approaches and a combination of univariate and machine learning models, a total of 181 candidate biomarker peptides corresponding to 106 proteins have been identified that may act as potential biomarkers for predicting response to treatment of PsA. Further study is required to verify and evaluate these candidate biomarkers, and we will report how these proteins map to biological processes, pathways and networks.References[1]Mease et al. N Engl J Med 2017; 377: 1537-1550.[2]Gladman et al. N Engl J Med 2017; 377: 1525-1536.[3]Breiman. Machine Learning 2001; 45: 5-32.AcknowledgementsStudy sponsored by Pfizer Inc. Medical writing support was provided by Lauren Hogarth, CMC Connect, and funded by Pfizer Inc.Disclosure of InterestsJames Waddington Employee of: Atturos, Ruoyi Zhou Employee of: Atturos, Orla Coleman Employee of: Atturos, Bruna Wundervald Employee of: Atturos, Andrew Parnell: None declared, Philip J Mease Speakers bureau: AbbVie, Amgen, Janssen, Novartis, Pfizer Inc and UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, CorEvitas, Eli Lilly, Galapagos, Gilead Sciences, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer Inc, Sun Pharma and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc, Sun Pharma and UCB, Vinod Chandran Consultant of: AbbVie, Amgen, BMS, Eli Lilly, Janssen, Novartis, Pfizer Inc and UCB, Grant/research support from: AbbVie, Amgen, Eli Lilly, Lara Fallon Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Douglass Chapman Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Remy Pollock Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Shibing Deng Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Oliver FitzGerald Shareholder of: Atturos, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc and UCB, Employee of: University College Dublin, Stephen Pennington Shareholder of: Atturos, Employee of: University College Dublin
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Deng H, Chen D, Wang R, Li F, Luo Z, Deng S, Yin J, Yu L, Zhang W, Yuan L. Fiber-integrated optical tweezers for ballistic transport and trapping yeast cells. Nanoscale 2022; 14:6941-6948. [PMID: 35466971 DOI: 10.1039/d1nr08348a] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Due to their unique operational flexibility and ability to facilitate functional integration, the fascinating application of optical fibers has recently attracted significant attention in the field of optical tweezers and optical manipulation. The traditional optical fiber tweezers (OFTs) can easily trap microparticles in the front or side of the trapping tool, instead of behind. Herein, we propose and demonstrate a novel capillary optical fiber tweezer (COFT) to break the limitation of the optical trapping direction and extend the spatial range of optical trapping. The device consists of a cascade structure of single-mode fiber and capillary optical fiber (COF), which was used to excite higher-order modes in the COF. A COF taper tip was introduced to converge the multimode field, which created a focused output beam, realizing the ballistic transport of multi-yeast cells at the surface of the COF taper tip and their trapping by multiple optical potential wells of the focused output beam. The experimental results showed that the maximum transport length and speed of the cells were greater than 150 μm and 10 μm s-1, respectively, and at least three cells could be trapped simultaneously. The simulation results showed that the trap stiffness of COFT in several potential wells was in the range of 10-40 pN μm-1 W-1, which indicates that COFT has a good trap performance. Therefore, COFT greatly expands the region of the optical potential well, thus guiding and trapping microparticles distributed on the entire surface of the COF taper tip. This device can also greatly improve the optical trapping ability of single or multiple microparticles, providing a new tool for researchers committed to research on micro-nano objects and cells, which is expected to be widely used in the fields of targeted drug delivery, cell dynamic analysis, microfluidic chip driving, etc.
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Affiliation(s)
- Hongchang Deng
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Dawei Chen
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Rui Wang
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Fuwang Li
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Zhongyue Luo
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Shijie Deng
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Jun Yin
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Lingyao Yu
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Wentao Zhang
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Libo Yuan
- Photonics Research Center, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
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Gu H, He X, Wu Y, Deng S, Jiang Y, Yu J, Deng Z, Xing K, Wang Z. Examining differentiation of sympatric
Schizothorax
fishes reveals low differentiation in internal compared to external feeding traits. J Zool (1987) 2022. [DOI: 10.1111/jzo.12956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- H. Gu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
| | - X. He
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - Y. Wu
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - S. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - Y. Jiang
- Butuo Agriculture and Rural Affairs Bureau Butuo China
| | - J. Yu
- Zhaojue Agriculture and Rural Affairs Bureau Zhaojue China
| | - Z. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - K. Xing
- Xichang Agriculture and Rural Affairs Bureau Xichang China
| | - Z. Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
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Tan J, Yang M, Wang H, Shen C, Wu M, Xu H, Wu Y, Li Y, Li X, Huang T, Deng S, Yang Z, Gao S, Li H, Zhou J, Chen H, Cao N, Cai W. Moderate heart rate reduction promotes cardiac regeneration through stimulation of the metabolic pattern switch. Cell Rep 2022; 38:110468. [PMID: 35263588 DOI: 10.1016/j.celrep.2022.110468] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 12/19/2021] [Accepted: 02/10/2022] [Indexed: 01/07/2023] Open
Abstract
As a biological pump, the heart needs to consume a substantial amount of energy to maintain sustained beating. Myocardial energy metabolism was recently reported to be related to the loss of proliferative capacity in cardiomyocytes (CMs). However, the intrinsic relationship between beating rate and proliferation in CMs and whether energy metabolism can regulate this relationship remains unclear. In this study, we find that moderate heart rate reduction (HRR) induces CM proliferation under physiological conditions and promotes cardiac regenerative repair after myocardial injury. Mechanistically, moderate HRR induces G1/S transition and increases the expression of glycolytic enzymes in CMs. Furthermore, moderate HRR induces a metabolic pattern switch, activating glucose metabolism and increasing the relative proportion of ATP production by the glycolytic pathway for biosynthesis of substrates needed for proliferative CMs. These results highlight the potential therapeutic role of HRR in not only acute myocardial protection but also long-term CM restoration.
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Affiliation(s)
- Jing Tan
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Ming Yang
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Haiping Wang
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Conghui Shen
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Maoxiong Wu
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - He Xu
- Program of Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangdong 510080, China
| | - Yandi Wu
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuanlong Li
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Xinghui Li
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Tongsheng Huang
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Shijie Deng
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhenyu Yang
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Saifei Gao
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Hui Li
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiaguo Zhou
- Department of Pharmacology, Cardiac and Cerebrovascular Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangdong 510080, China
| | - Hui Chen
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
| | - Nan Cao
- Program of Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangdong 510080, China.
| | - Weibin Cai
- Laboratory Animal Center and Department of Biochemistry, Institute of Guangdong Engineering and Technology Research Center for Disease-Model Animals, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
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Li Y, Yang M, Tan J, Shen C, Deng S, Fu X, Gao S, Li H, Zhang X, Cai W. Targeting ACSL1 promotes cardiomyocyte proliferation and cardiac regeneration. Life Sci 2022; 294:120371. [PMID: 35122795 DOI: 10.1016/j.lfs.2022.120371] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/19/2021] [Accepted: 01/28/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Neonatal hearts have considerable regenerative potential within 7 days post birth (P7), but the rate of regeneration is extremely low after P7. Interestingly, lipid metabolism increases dramatically after P7. The similarities in these age profiles suggests a possible link between cardiac regeneration and lipid metabolism. Acyl CoA synthase long chain family member 1 (ACSL1) is the key enzyme that regulates lipid metabolism. The aim of this study was to identify the role of ACSL1 in the regeneration of cardiomyocytes. METHODS AND RESULTS The uptake of fatty acids in hearts increased after P7; however, myocardial regeneration was decreased. We profiled an RNA-sequence array of hearts from mice of different ages, including E10.5 (embryonic stage)-, 3-, 7-, 21-, 30-, and 60-day-old mice, and found that the expression of ACSL1 was significantly increased after P7. By establishing ACSL1 knockdown mice with adeno-associated virus (AAV9). Then, we verified that knockdown of ACSL1 enhanced the capacity for myocardial regeneration both in mice and in primary cardiomyocytes. Indeed, ACSL1 knockdown in primary cardiomyocytes promoted the cell cycle progression from G0 to G2 phase by regulating specific factors, which may correlate with the activation of AKT by ACSL1 and withdrawal of FOXO1 from the nucleus. In vivo, knockdown of ACSL1 effectively restored cardiac function and myocardial regeneration in adult mice with myocardial infarction (MI). CONCLUSIONS ACSL1 possibly induces the loss of the myocardial regenerative potential beginning at P7 in mice, and inhibition of ACSL1 effectively promoted myocardial repair after MI in mice.
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Affiliation(s)
- Yuanlong Li
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ming Yang
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jing Tan
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Conghui Shen
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shijie Deng
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xinlu Fu
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Saifei Gao
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Hui Li
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xiaoxue Zhang
- The Second Department of Cardiology, Guangdong Second Provincial General Hospital & Guangdong Provincial Emergency Hospital, Guangzhou 510317, Guangdong, China.
| | - Weibin Cai
- Institute of Guangdong Engineering & Technology Research Center for Disease-Model Animals, Laboratory Animal Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, Guangdong, China.
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TANG J, Liao Z, Luo L, Deng S, Hu X, Li X. POS-400 CD16+ MONOCYTES RECRUITED BY GLOMERULAR ENDOTHELIAL CELLS VIA THE CX3CL1-CX3CR1 AXIS CONTROBUTE TO RENAL DAMAGE IN MPO-AAV. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Teng C, Min R, Zheng J, Deng S, Li M, Hou L, Yuan L. Intensity-Modulated Polymer Optical Fiber-Based Refractive Index Sensor: A Review. Sensors (Basel) 2021; 22:s22010081. [PMID: 35009621 PMCID: PMC8747346 DOI: 10.3390/s22010081] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/15/2021] [Accepted: 12/21/2021] [Indexed: 01/27/2023]
Abstract
The simple and highly sensitive measurement of the refractive index (RI) of liquids is critical for designing the optical instruments and important in biochemical sensing applications. Intensity modulation-based polymer optical fiber (POF) RI sensors have a lot of advantages including low cost, easy fabrication and operation, good flexibility, and working in the visible wavelength. In this review, recent developments of the intensity modulation POF-based RI sensors are summarized. The materials of the POF and the working principle of intensity modulation are introduced briefly. Moreover, the RI sensing performance of POF sensors with different structures including tapered, bent, and side-polished structures, among others, are presented in detail. Finally, the sensing performance for different structures of POF-based RI sensors are compared and discussed.
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Affiliation(s)
- Chuanxin Teng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China; (S.D.); (M.L.); (L.Y.)
- Correspondence: (C.T.); (L.H.)
| | - Rui Min
- State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University at Zhuhai, Zhuhai 519087, China;
| | - Jie Zheng
- State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China;
| | - Shijie Deng
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China; (S.D.); (M.L.); (L.Y.)
| | - Maosen Li
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China; (S.D.); (M.L.); (L.Y.)
| | - Li Hou
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
- Correspondence: (C.T.); (L.H.)
| | - Libo Yuan
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China; (S.D.); (M.L.); (L.Y.)
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Johnson G, Vergis A, Unger B, Park J, Gillman L, Hickey K, Pace D, Azin A, Guidolin K, Lam-Tin-Cheung K, Chadi S, Quereshy F, Guidolin K, Catton J, Rubin B, Bell J, Marangos J, Heesters A, Stuart-McEwan T, Quereshy F, Shariff F, Wright F, Ahmed N, Nadler A, Hallet J, Gentles J, Chen L, Hwang H, Parapini M, Hirpara D, Sidhu R, Scott T, Karimuddin A, Guo R, Nguyen A, Osborn J, Wiseman S, Nabata K, Ertel E, Hwang H, Lenet T, Baker L, Park L, Vered M, Zahrai A, Shorr R, Davis A, McIsaac D, Tinmouth A, Fergusson D, Martel G, Nabata K, Rummel S, Stefic-Cubic M, Karimuddin A, Stewart M, Melck A, McKechnie T, Anpalagan T, Ichhpuniani S, Lee Y, Ramji K, Eskicioglu C, Zhu A, Deng S, Greene B, Tsang M, Palter V, Jayaraman S, McKechnie T, Mann A, Tittley J, Cadeddu M, Nguyen M, Madani A, Pasternak J, McKechnie T, Ramji K, Hong D, Qu L, Istl A, Tang E, Gray D, Zuckerman J, Coburn N, Callum J, McLeod R, Pearsall E, Lin Y, Turgeon A, Martel G, Hallet J, Mahar A, Kammili A, Kriviraltcheva-Kaneva P, Lee L, Cools-Lartigue J, Ferri L, Mueller C, Zuckerman J, Haas B, Tillman B, Guttman M, Chesney T, Zuk V, Mahar A, Hsu A, Chan W, Vasdev R, Coburn N, Hallet J, D'Souza K, Huynh C, Ling LCJ, Warburton R, Hwang H, Hameed M, Glass L, Williamson H, Murphy P, Tang E, Leslie K, Hawel J, Kerr L, Zablotny S, Roldan H, He W, Jiang X, Zheng B, Lee L, Fiore J, Feldman L, Fried G, Mueller C, Valanci S, Balvardi S, Cipolla J, Kaneva P, Demyttenaere S, Boutros M, Lee L, Feldman L, Fiore J, Balvardi S, Alhashemi M, Cipolla J, Lee L, Fiore J, Feldman L, Miles A, Purich K, Verhoeff K, Shapiro J, Bigam D, Kung J, Fecso A, Chesney T, Mosko J, Skubleny D, Hamilton P, Ghosh S, Widder S, Schiller D, Do U, El Kefraoui C, Pook M, Barone N, Balvardi S, Montgomery H, Nguyen-Powanda P, Rajabiyazdi F, Elhaj H, Lapointe-Gagner M, Olleik G, Kaneva P, Antoun A, Safa N, Di Lena E, Meterissian S, Meguerditchian A, Fried G, Alhashemi M, Lee F, Baldini G, Feldman L, Fiore J, Serrano Aybar PE, Parpia S, Ruo L, Tywonek K, Lee S, O'Neill C, Faisal N, Alfayyadh A, Gundayao M, Meyers BM, Habashi R, Kruse C, McKechnie T, Levin M, Aldrich K, Grantcharov T, Langerman A, Forbes H, Anantha R, Fawcett V, Hetherington A, Pravong V, Gervais M, Rakovich G, Selvam R, Hu R, Musselman R, Raiche I, Moloo H, Liu R, Elnahas A, Alkhamesi N, Hawel J, Tang E, Alnumay A, Schlachta C, Walser E, Zhang C, Cristancho S, Ott M, Lee A, Niu B, Balaa F, Gawad N, Ren K, Qiu Y, Hamann K, How N, Leveille C, Davidson A, Eqbal A, Sardiwalla Y, Korostensky M, McKechnie T, Lee E, Yang I, Ren K, Muaddi H, Stukel T, de Mestral C, Nathens A, Karanicolas P, Frigault J, Lemieux S, Breton D, Bouchard P, Bouchard A, Grégoire R, Letarte F, Bouchard G, Drolet S, Frigault J, Avoine S, Drolet S, Letarte F, Bouchard A, Gagné J, Thibault C, Grégoire R, Jutras Bouthillette N, Gosselin M, Bouchard P, Rosenzveig A, Stuleanu T, Jarrar A, Kolozsvari N, Skelhorne-Gross G, Nenshi R, Jerath A, Gomez D, Singh K, Amir T, Liu E, Farquharson S, Mao R, Lan L, Yan J, Allard-Coutu A, Mierzwa A, Tin R, Brisebois R, Bradley N, Wigen R, Walser E, Hartford L, Van Koughnett J, Vogt K, Hilsden R, Parry N, Allen L, Leslie K, Raskin R, Jones J, Neumann K, Dwyer C, Strickland M, Bradley N, O'Dochartaigh D, Lobay K, Kabaroff A, Chang E, Widder S, Anantha R, Sun W, Beck J, Anantha R, Liu R, Davidson J, Jones S, Van Hooren T, Van Koughnett J, Ott M, Schmitz E, Raiche I, Sun W, El Hafid M, Dang J, Mocanu V, Lutzak G, Sultanian R, Wong C, Karmali S, Schmitz E, Petrera M, Pickell M, Auer R, Patro N, Li B, Lee Y, Wilson H, Mocanu V, Sun W, Dang J, Jogiat U, Kung J, Switzer N, Karmali S, Wong C, Li C, Al Hinai A, Cieply A, Hawes H, Joos E, Saleh A, Li C, Saleh A, Engels P, Drung J, Allen L, Leslie K, Pang G, Kwong M, Schlachta C, Alkhamesi N, Hawel J, Elnahas A, Guidolin K, Ellsmere J, Chadi S, Quereshy F, Chang D, Hutter M, Spence R, Abou Khalil M, Boutros M, Vasilevsky C, Morin N, Longtin Y, Liberman S, Demyttenaere S, Montpetit P, Poirier M, Mukherjee K, 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Sisson D, Donahoe L, Bedard P, Hansen A, De Perrot M, Alghamedi A, Simone A, Begum H, Hanna W, Shargall Y, Turner S, Huang J, Lai H, Bedard E, Shargall Y, Murthy S, Lin J, Darling G, Malthaner R, Kidane B, Seely A, Li H, Crowther M, Linkins L, Lau E, Schneider L, Hanna W, Finley C, Agzarian J, Douketis J, Greenberg B, Gupta V, Allen-Avodabo C, Davis L, Zhao H, Kidane B, Darling G, Coburn N, Huynh C, Cools-Lartigue J, Ferri L, Najmeh S, Sirois C, Mulder D, Spicer J, Al Rawahi A, Aftab Abdul S, Nguyen D, Anstee C, Delic E, Gilbert S, Maziak D, Villeneuve P, Seely A, Sisson D, Sasewich H, Islam T, Low D, Darling G, Turner S, Humer M, Abdul S, Nguyen D, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Le Nguyen D, Aftab Abdul S, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Patel Y, Kay M, Churchill I, Sullivan K, Shargall Y, Shayegan B, Adili A, Hanna W, Kaafarani M, Huynh C, Chouiali F, Muthukrishnan N, Maleki F, Ovens K, Gold M, 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Hochman D, Helewa R, Johnson G, Robertson R, Vergis A, Johnson G, Vergis A, Singh H, Park J, Helewa R, Azin A, Cahill C, Lipson M, Afzal A, Maclean A, Wong C, Roen S, Buie W, McKechnie T, Anpalagan T, Chu M, Lee Y, Amin N, Hong D, Eskicioglu C, McKechnie T, Ramji K, Kruse C, Jaffer H, Rebello R, Amin N, Doumouras A, Hong D, Eskicioglu C, Hajjar R, Oliero M, Cuisiniere T, Fragoso G, Calvé A, Djediai S, Annabi B, Richard C, Santos M, Purich K, Zhou Y, Dodd S, Ring B, Yuan Y, White J, Garfinkle R, Dell'Aniello S, Bhatnagar S, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Brassard P, Boutros M, Garfinkle R, Salama E, Amar-Zifkin A, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Boutros M, Talwar G, Daniel R, McKechnie T, Levine O, Eskicioglu C, AlSulaim H, Alqahtani M, Garfinkle R, Al-Masrouri S, Vasilevsky C, Morin N, Boutros M, McKechnie T, Chen A, Patel A, Lee Y, Doumouras A, Hong D, Eskicioglu C, Brissette V, Al Busaidi N, Rajabiyazdi F, Moon J, Demian M, Vasilevsky C, Morin N, Boutros M, Selvam R, Moloo H, MacRae H, Alam F, Raiche I, Holland J, Cwintal M, Rigas G, Vasilevsky C, Morin N, Ghitulescu G, Faria J, Pang A, Boutros M, Holland J, Moon J, Marinescu D, Morin N, Ghitulescu G, Pang A, Vasilevsky C, Boutros M, Brown C, Karimuddin A, Raval M, Phang P, Ghuman A, Li M, Muncner S, Mihajlovic I, Dykstra M, Snelgrove R, Wang H, Monton O, Smith A, Moon J, Demian M, Garfinkle R, Vasilevsky C, Rajabiyazdi F, Boutros M, AlAamer O, AlSelaim N, AlMalki M, Al-Osail A, Ruxton R, Manuel P, Mohamed F, Motamedi MK, Serahati S, Rajendran L, Brown C, Raval M, Karimuddin A, Ghuman A, Phang T, Caminsky N, Moon J, Rajabiyazdi F, Chadi S, Alavi K, Paquette I, MacLean T, Wexner S, Liberman S, Steele S, Park J, Patel S, Bordeianou L, Auer R, Sylla P, Morin N, Ghuman A, Boutros M, Bayat Z, Kennedy E, Victor C, Govindarajan A, Liang J, Vasilevsky C, Pang A, Ghitulescu G, Faria J, Morin N, Boutros M, Marinescu D, Roy H, Baig Z, Karimmudin A, Raval M, Brown C, Phang T, Gill D, Ginther N, Moon J, Marinescu D, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Moon J, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Salama E, Alrashid F, Vasilevsky C, Ghitulescu G, Faria J, Morin N, Boutros M, Wiseman V, Zhang L, MacDonald P, Merchant SM, Wattie Barnett K, Caycedo-Marulanda A, Patel SV, Harra Z, Vasilevsky C, Ghitulescu G, Morin N, Boutros M, Pang A, Hegagi M, Alqahtani M, Morin N, Ghitulescu G, Vasilevsky C, Boutros M, Alghaithi N, Marinescu D, Al-Masrouri S, Pang A, Vasilevsky C, Boutros M, Papillon E, Kasteel N, Kaur G, Bindra S, Malhotra A, Graham C, MacLean A, Beck P, Jijon H, Ferraz J, Buie W, Szwimer R, Moon J, Demian M, Pang A, Morin N, Vasilevsky C, Rajabiyazdi F, Boutros M, Azin A, Merchant S, Kong W, Gyawali B, Hanna T, Chung W, Nanji S, Patel S, Booth C, Li V, Awan A, Serrano P, Jacobson M, Chanco M, Wen V, Singh N, Peiris L, Pasieka J, Ghatage P, Buie D, MacLean T, Bouchard-Fortier A, Mack L, Marini W, Zheng W, Swallow C, Reedijk M, DiPasquale A, Peiris L, Prus-Czrnecka Z, Delmar L, Gagnon N, Villiard R, Martel É, Cadrin-Chênevert A, Ledoux É, Racicot C, Mysuria S, Bazzarelli A, Pao J, Chen L, Zhang M, McKevitt E, Warburton R, Kuusk U, Van Laeken N, Bovill E, Isaac K, Dingee C, Hunter-Smith A, Cuthbert C, Fergus K, Barbera L, Efegoma Y, Howell D, Isherwood S, Levasseur N, Scheer A, Simmons C, Srikantham A, Temple-Orberle C, Xu Y, Metcalfe K, Quan M, Alqaydi A, la J, Merchant S, Digby G, Pravong V, Brind'Amour A, Sidéris L, Dubé P, De Guerke L, Fortin S, Auclair M, Trilling B, Tremblay J, Di Lena É, Hopkins B, Wong S, Meterissian S, Di Lena É, Barone N, Hopkins B, Dumitra S, Kaneva P, Fiore J, Meterissian S, Mysuria S, McKevitt E, Warburton R, Chen L, Bazzarelli A, Pao J, Bovill E, Zhang M, Kuusk U, Isaac K, Van Laeken N, Dingee C, Kapur H, McKevitt E, Warburton R, Pao J, Dingee C, Bazarelli A, Kuusk U, Chen L, Cadili L, DeGirolamo K, McKevitt E, Pao J, Dingee C, Bazzarelli A, Warburton R, Ng D, Ali A, Eymae D, Lee K, Brar S, Conner J, Magalhaes M, Swallow C, Allen K, Baliski C, Cyr D, Sari A, Messenger D, Driman D, Assarzadegan N, Juda A, Swallow C, Kennedy E, Brar M, Conner J, Kirsch R, Allard-Coutu A, Singh K, Lamontagne A, Gamache Y, Allard-Coutu A, Mardinger C, Lee C, Duckworth R, Brindle M, Fraulin F, Austen L, Kortbeek J, Hyndman M, Nguyen D, Jamjoum G, Meguerditchian A, Langer S, Yuan Xu Y, Kong S, Quan M, Lim D, Retrouvey H, Kerrebijn I, Butler K, O'Neill A, Cil T, Zhong T, Hofer S, McCready D, Metcalfe K, Lim D, Greene B, Look Hong N, Parapini M, Skipworth J, Mah A, Desai S, Chung S, Scudamore C, Segedi M, Vasilyeva E, Li J, Kim P, Verhoeff K, Deprato A, Purich K, Kung J, Bigam D, Dajani K, Lenet T, Gilbert R, Smoot R, Martel G, Tzeng C, Rocha F, Yohanathan L, Cleary S, Bertens K, Reyna-Sepulveda F, Badrudin D, Gala-Lopez B, Hanna N, Brogly S, Wei X, Booth C, Nanji S, Zuckerman J, Coburn N, Mahar A, Callum J, Kaliwal Y, Jayaraman S, Wei A, Martel G, Hallet J, Zuckerman J, Jayaraman S, Wei A, Mahar A, Kaliwal Y, Martel G, Coburn N, Hallet J, Henault D, Barrette B, Pelletier S, Thebault P, Beaudry-Simoneau E, Rong Z, Plasse M, Dagenais ARM, Létourneau R, Lapointe R, Vandenbroucke-Menu F, Nguyen B, Soucy G, Turcotte S, Lemke M, Waugh E, Leslie K, Quan D, Skaro A, Tang E, Lund M, Allen L, Glinka J, Jada G, Quan D, Skaro A, Tang E, Park L, Daza J, Li V, Msallak H, Zhang B, Workneh A, Faisal S, Faisal R, Fabbro M, Gu C, Claassen M, Zuk V, Hallet J, Martel G, Sapisochin G, Serrano P, Glinka J, Skaro A, Leslie K, Jada G, Quan D, Tang E, Waugh E, Lemke M, Glinka J, Skaro A, Leslie K, Tang E, Waugh E, Breadner D, Liu R, Tang E, Allen L, Welch S, Skaro A, Leslie K, Glinka J, Waugh E, Tang E, Jada G, Quan D, Skaro A, Webb A, Lester E, Shapiro A, Eurich D, Bigam D, Essaji Y, Shrader H, Nayyar A, Suraju M, Williams-Perez S, Ear P, Chan C, Smith V, Rivers-Bowerman M, Costa A, Stueck A, Campbell N, Allen S, Gala-Lopez B, Gilbert R, Lenet T, Cleary S, Smoot R, Tzeng C, Rocha F, Martel G, Bertens K, Mir Z, Golding H, McKeown S, Nanji S, Flemming J, Groome P, Mir Z, Djerboua M, Nanji S, Flemming J, Groome P, Elbekri S, Turcotte S, Girard E, Morency-Potvin P, Lapointe R, Vandenbroucke-Menu F, Dagenais M, Roy A, Letourneau R, Plasse M, Simoneau E, Rong Z, Zuker N, Oakley M, Chartrand G, Misheva B, Bendavid Y, Frigault J, Lemieux S, Breton D, Bouchard G, Drolet S, Melland-Smith M, Smith L, Tan J, Kahn U, McLean C, Mocanu V, Birch D, Karmali S, Switzer N, Fortin M, Paré X, Doyon A, Keshavjee S, Schwenger K, Yadav J, Fischer S, Jackson T, Allard J, Okrainec A, Lee Y, Anvari S, Chu M, Lovrics O, Aditya I, Malhan R, Khondker A, Walsh M, Doumouras A, Hong D, He W, Vergis A, Hardy K, Romanescu R, Deaninck F, Linton J, Fowler-Woods M, Fowler-Woods A, Shingoose G, Vergis A, Hardy K, Zmudzinski M, Cloutier Z, McKechnie T, Lee Y, Archer V, Doumouras A, Shiroky J, Abu Halimah J, Ramji K, Boudreau V, Mierzwa A, Mocanu V, Marcil G, Dang J, Switzer N, Birch D, Karmali S, Mierzwa A, Jarrar A, Hardy-Henry A, Kolozsvari N, Lin W, Hagen J, Connell M, Sun W, Dang J, Mocanu V, Kung J, Switzer N, Birch D, Karmali S. 2021 Canadian Surgery Forum01. Design and validation of a unique endoscopy simulator using a commercial video game03. Is ethnicity an appropriate measure of health care marginalization?: A systematic review and meta-analysis of the outcomes of diabetic foot ulceration in the Aboriginal population04. Racial disparities in surgery — a cross-specialty matched comparison between black and white patients05. Starting late does not increase the risk of postoperative complications in patients undergoing common general surgical procedures06. Ethical decision-making during a health care crisis: a resource allocation framework and tool07. Ensuring stability in surgical training program leadership: a survey of program directors08. Introducing oncoplastic breast surgery in a community hospital09. Leadership development programs for surgical residents: a review of the literature10. Superiority of non-opioid postoperative pain management after thyroid and parathyroid operations: a systematic review and meta-analysis11. Timing of ERCP relative to cholecystectomy in patients with ductal gallstone disease12. A systematic review and meta-analysis of randomized controlled trials comparing intraoperative red blood cell transfusion strategies13. Postoperative outcomes after frail elderly preoperative assessment clinic: a single-institution Canadian perspective14. Selective opioid antagonists following bowel resection for prevention of postoperative ileus: a systematic review and meta-analysis15. Peer-to-peer coaching after bile duct injury16. Laparoscopic median arcuate ligament release: a video abstract17. Retroperitoneoscopic approach to adrenalectomy19. Endoscopic Zenker diverticulotomy: a video abstract20. Variability in surgeons’ perioperative management of pheochromocytomas in Canada21. The contribution of surgeon and hospital variation in transfusion practice to outcomes for patients undergoing elective gastrointestinal cancer surgery: a population-based analysis22. Perioperative transfusions for gastroesophageal cancers: risk factors and short- and long-term outcomes23. The association between frailty and time alive and at home after cancer surgery among older adults: a population-based analysis24. Psychological and workplace-related effects of providing surgical care during the COVID-19 pandemic in British Columbia, Canada25. Safety of venous thromboembolism prophylaxis in endoscopic retrograde cholangiopancreatography: a systematic review26. Complications and reintervention following laparoscopic subtotal cholecystectomy: a systematic review and meta-analysis27. Synchronization of pupil dilations correlates with team performance in a simulated laparoscopic team coordination task28. Receptivity to and desired design features of a surgical peer coaching program: an international survey9. Impact of the COVID-19 pandemic on rates of emergency department utilization due to general surgery conditions30. The impact of the current COVID-19 pandemic on the exposure of general surgery trainees to operative procedures31. Association between academic degrees and research productivity: an assessment of academic general surgeons in Canada32. Laparoscopic endoscopic cooperative surgery (LECS) for subepithelial gastric lesion: a video presentation33. Effect of the COVID-19 pandemic on acute care general surgery at an academic Canadian centre34. Opioid-free analgesia after outpatient general surgery: a pilot randomized controlled trial35. Impact of neoadjuvant immunotherapy or targeted therapies on surgical resection in patients with solid tumours: a systematic review and meta-analysis37. Surgical data recording in the operating room: a systematic review of modalities and metrics38. Association between nonaccidental trauma and neighbourhood socioeconomic status during the COVID-19 pandemic: a retrospective analysis39. Laparoscopic repair of a transdiaphragmatic gastropleural fistula40. Video-based interviewing in medicine: a scoping review41. Indocyanine green fluorescence angiography for prevention of anastomotic leakage in colorectal surgery: a cost analysis from the hospital payer’s perspective43. Perception or reality: surgical resident and faculty assessments of resident workload compared with objective data45. When illness and loss hit close to home: Do health care providers learn how to cope?46. Remote video-based suturing education with smartphones (REVISE): a randomized controlled trial47. The evolving use of robotic surgery: a population-based analysis48. Prophylactic retromuscular mesh placement for parastomal hernia prevention: a retrospective cohort study of permanent colostomies and ileostomies49. Intracorporeal versus extracorporeal anastomosis in laparoscopic right hemicolectomy: a retrospective cohort study on anastomotic complications50. A lay of the land — a description of Canadian academic acute care surgery models51. Emergency general surgery in Ontario: interhospital variability in structures, processes and models of care52. Trauma 101: a virtual case-based trauma conference as an adjunct to medical education53. Assessment of the National Surgical Quality Improvement Program Surgical Risk Calculator for predicting patient-centred outcomes of emergency general surgery patients in a Canadian health care system54. Sustainability of a narcotic reduction initiative: 1 year following the Standardization of Outpatient Procedure (STOP) Narcotics Study55. Barriers to transanal endoscopic microsurgery referral56. Geospatial analysis of severely injured rural patients in a geographically complex landscape57. Implementation of an incentive spirometry protocol in a trauma ward: a single-centre pilot study58. Impostor phenomenon is a significant risk factor for burnout and anxiety in Canadian resident physicians: a cross-sectional survey59. Understanding the influence of perioperative education on performance among surgical trainees: a single-centre experience60. The effect of COVID-19 pandemic on current and future endoscopic personal protective equipment practices: a national survey of 77 endoscopists61. Case report: delayed presentation of perforated sigmoid diverticulitis as necrotizing infection of the lower limb62. Investigating disparities in surgical outcomes in Canadian Indigenous populations63. Fundoplication is superior to medical therapy for Barrett esophagus disease regression and progression: a systematic review and meta-analysis64. Development of a novel online general surgery learning platform and a qualitative preimplementation analysis65. Hagfish slime exudate as a potential novel hemostatic agent: developing a standardized assessment protocol66. The effect of the first wave of the COVID-19 pandemic on surgical oncology case volumes and wait times67. Safety of same-day discharge in high-risk patients undergoing ambulatory general surgery68. External validation of the Codman score in colorectal surgery: a pragmatic tool to drive quality improvement69. Improved morbidity and gastrointestinal restoration rates without compromising survival rates for diverting loop ileostomy with colonic lavage versus total abdominal colectomy for fulminant Clostridioides difficile colitis: a multicentre retrospective cohort study70. Potential access to emergency general surgical care in Ontario71. Immersive virtual reality (iVR) improves procedural duration, task completion and accuracy in surgical trainees: a systematic review01. Clinical validation of the Canada Lymph Node Score for endobronchial ultrasound02. Venous thromboembolism in surgically treated esophageal cancer patients: a provincial population-based study03. Venous thromboembolism in surgically treated lung cancer patients: a population-based study04. Is frailty associated with failure to rescue after esophagectomy? A multi-institutional comparative analysis of outcomes05. Routine systematic sampling versus targeted sampling of lymph nodes during endobronchial ultrasound: a feasibility randomized controlled trial06. Gastric ischemic conditioning reduces anastomotic complications in patients undergoing esophagectomy: a systematic review and meta-analysis07. Move For Surgery, a novel preconditioning program to optimize health before thoracic surgery: a randomized controlled trial08. In case of emergency, go to your nearest emergency department — Or maybe not?09. Does preoperative SABR increase the risk of complications from lung cancer resection? A secondary analysis of the MISSILE trial10. Segmental resection for lung cancer: the added value of near-infrared fluorescence mapping diminishes with surgeon experience11. Toward competency-based continuing professional development for practising surgeons12. Stereotactic body radiotherapy versus surgery in older adults with NSCLC — a population-based, matched analysis of long-term dependency outcomes13. Role of adjuvant therapy in esophageal cancer patients after neoadjuvant therapy and curative esophagectomy: a systematic review and meta-analysis14. Evaluation of population characteristics on the incidence of thoracic empyema: an ecological study15. Determining the optimal stiffness colour threshold and stiffness area ratio cut-off for mediastinal lymph node staging using EBUS elastography and AI: a pilot study16. Quality assurance on the use of sequential compression stockings in thoracic surgery (QUESTs)17. The relationship between fissureless technique and prolonged air leak for patients undergoing video-assisted thoracoscopic lobectomy18. CXCR2 inhibition as a candidate for immunomodulation in the treatment of K-RAS-driven lung adenocarcinoma19. Assessment tools for evaluating competency in video-assisted thoracoscopic lobectomy: a systematic review20. Understanding the current practice on chest tube management following lung resection among thoracic surgeons across Canada21. Effect of routine jejunostomy tube insertion in esophagectomy: a systematic review and meta-analysis22. Recurrence of primary spontaneous pneumothorax following bullectomy with pleurodesis or pleurectomy: a retrospective analysis23. Surgical outcomes following chest wall resection and reconstruction24. Outcomes following surgical management of primary mediastinal nonseminomatous germ cell tumours25. Does robotic approach offer better nodal staging than thoracoscopic approach in anatomical resection for non–small cell lung cancer? A single-centre propensity matching analysis26. Competency assessment for mediastinal mass resection and thymectomy: design and Delphi process27. The contemporary significance of venous thromboembolism (deep venous thrombosis [DVT] and pulmonary embolus [PE]) in patients undergoing esophagectomy: a prospective, multicentre cohort study to evaluate the incidence and clinical outcomes of VTE after major esophageal resections28. Esophageal cancer: symptom severity at the end of life29. The impact of pulmonary artery reconstruction on postoperative and oncologic outcomes: a systematic review30. Association with surgical technique and recurrence after laparoscopic repair of paraesophageal hernia: a single-centre experience31. Enhanced recovery after surgery (ERAS) in esophagectomy32. Surgical treatment of esophageal cancer: trends in surgical approach and early mortality at a single institution over the past 18 years34. Adverse events and length of stay following minimally invasive surgery in paraesophageal hernia repair35. Long-term symptom control comparison of Dor and Nissen fundoplication following laparoscopic para-esophageal hernia repair: a retrospective analysis36. Willingness to pay: a survey of Canadian patients’ willingness to contribute to the cost of robotic thoracic surgery37. Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments38. Effectiveness of intraoperative pyloric botox injection during esophagectomy: how often is endoscopic intervention required?39. An artificial intelligence algorithm for predicting lymph node malignancy during endobronchial ultrasound40. The effect of major and minor complications after lung surgery on length of stay and readmission41. Measuring cost of adverse events following thoracic surgery: a scoping review42. Laparoscopic paraesophageal hernia repair: characterization by hospital and surgeon volume and impact on outcomes43. NSQIP 5-Factor Modified Frailty Index predicts morbidity but not mortality after esophagectomy44. Trajectory of perioperative HRQOL and association with postoperative complications in thoracic surgery patients45. Variation in treatment patterns and outcomes for resected esophageal cancer at designated thoracic surgery centres46. Patient-reported pretreatment health-related quality of life (HRQOL) predicts short-term survival in esophageal cancer patients47. Analgesic efficacy of surgeon-placed paravertebral catheters compared with thoracic epidural analgesia after Ivor Lewis esophagectomy: a retrospective noninferiority study48. Rapid return to normal oxygenation after lung surgery49. Examination of local and systemic inflammatory changes during lung surgery01. Implications of near-infrared imaging and indocyanine green on anastomotic leaks following colorectal surgery: a systematic review and meta-analysis02. Repeat preoperative endoscopy after regional implementation of electronic synoptic endoscopy reporting: a retrospective comparative study03. Consensus-derived quality indicators for operative reporting in transanal endoscopic surgery (TES)04. Colorectal lesion localization practices at endoscopy to facilitate surgical and endoscopic planning: recommendations from a national consensus Delphi process05. Black race is associated with increased mortality in colon cancer — a population-based and propensity-score matched analysis06. Improved survival in a cohort of patients 75 years and over with FIT-detected colorectal neoplasms07. Laparoscopic versus open loop ileostomy reversal: a systematic review and meta-analysis08. Posterior mesorectal thickness as a predictor of increased operative time in rectal cancer surgery: a retrospective cohort study09. Improvement of colonic anastomotic healing in mice with oral supplementation of oligosaccharides10. How can we better identify patients with rectal bleeding who are at high risk of colorectal cancer?11. Assessment of long-term bowel dysfunction in rectal cancer survivors: a population-based cohort study12. Observational versus antibiotic therapy for acute uncomplicated diverticulitis: a noninferiority meta-analysis based on a Delphi consensus13. Radiotherapy alone versus chemoradiotherapy for stage I anal squamous cell carcinoma: a systematic review and meta-analysis14. Is the Hartmann procedure for diverticulitis obsolete? National trends in colectomy for diverticulitis in the emergency setting from 1993 to 201515. Sugammadex in colorectal surgery: a systematic review and meta-analysis16. Sexuality and rectal cancer treatment: a qualitative study exploring patients’ information needs and expectations on sexual dysfunction after rectal cancer treatment17. Video-based interviews in selection process18. Impact of delaying colonoscopies during the COVID-19 pandemic on colorectal cancer detection and prevention19. Opioid use disorder associated with increased anastomotic leak and major complications after colorectal surgery20. Effectiveness of a rectal cancer education video on patient expectations21. Robotic-assisted rectosigmoid and rectal cancer resection: implementation and early experience at a Canadian tertiary centre22. An online educational app for rectal cancer survivors with low anterior resection syndrome: a pilot study23. The effects of surgeon specialization on the outcome of emergency colorectal surgery24. Outcomes after colorectal cancer resections in octogenarians and older in a regional New Zealand setting — What are the predictors of mortality?25. Long-term outcomes after seton placement for perianal fistulae with and without Crohn disease26. A survey of patient and surgeon preference for early ileostomy closure following restorative proctectomy for rectal cancer — Why aren’t we doing it?27. Crohn disease independently associated with longer hospital admission after surgery28. Short-stay (≤ 1 d) diverting loop ileostomy closure can be selectively implemented without an increase in readmission and complication rates: an ACS-NSQIP analysis29. A comparison of perineal stapled rectal prolapse resection and the Altemeier procedure at 2 Canadian academic hospitals30. Mental health and substance use disorders predict 90-day readmission and postoperative complications following rectal cancer surgery31. Early discharge after colorectal cancer resection: trends and impact on patient outcomes32. Oral antibiotics without mechanical bowel preparation prior to emergency colectomy reduces the risk of organ space surgical site infections: a NSQIP propensity score matched study33. The impact of robotic surgery on a tertiary care colorectal surgery program, an assessment of costs and short-term outcomes — a Canadian perspective34. Should we scope beyond the age limit of guidelines? Adenoma detection rates and outcomes of screening and surveillance colonoscopies in patients aged 75–79 years35. Emergency department admissions for uncomplicated diverticulitis: a nationwide study36. Obesity is associated with a complicated episode of acute diverticulitis: a nationwide study37. Green indocyanine angiography for low anterior resection in patients with rectal cancer: a prospective before-and-after study38. The impact of age on surgical recurrence of fibrostenotic ileocolic Crohn disease39. A qualitative study to explore the optimal timing and approach for the LARS discussion01. Racial, ethnic and socioeconomic disparities in diagnosis, treatment and survival of patients with breast cancer: a SEER-based population analysis02. First-line palliative chemotherapy for esophageal and gastric cancer: practice patterns and outcomes in the general population03. Frailty as a predictor for postoperative outcomes following pancreaticoduodenectomy04. Synoptic electronic operative reports identify practice variation in cancer surgery allowing for directed interventions to decrease variation05. The role of Hedgehog signalling in basal-like breast cancer07. Clinical and patient-reported outcomes in oncoplastic breast conservation surgery from a single surgeon’s practice in a busy community hospital in Canada08. Upgrade rate of atypical ductal hyperplasia: 10 years of experience and predictive factors09. Time to first adjuvant treatment after oncoplastic breast reduction10. Preparing to survive: improving outcomes for young women with breast cancer11. Opioid prescription and consumption in patients undergoing outpatient breast surgery — baseline data for a quality improvement initiative12. Rectal anastomosis and hyperthermic intraperitoneal chemotherapy: Should we avoid diverting loop ileostomy?13. Delays in operative management of early-stage, estrogen-receptor positive breast cancer during the COVID-19 pandemic — a multi-institutional matched historical cohort study14. Opioid prescribing practices in breast oncologic surgery15. Oncoplastic breast reduction (OBR) complications and patient-reported outcomes16. De-escalating breast cancer surgery: Should we apply quality indicators from other jurisdictions in Canada?17. The breast cancer patient experience of telemedicine during COVID-1918. A novel ex vivo human peritoneal model to investigate mechanisms of peritoneal metastasis in gastric adenocarcinoma (GCa)19. Preliminary uptake and outcomes utilizing the BREAST-Q patient-reported outcomes questionnaire in patients following breast cancer surgery20. Routine elastin staining improves detection of venous invasion and enhances prognostication in resected colorectal cancer21. Analysis of exhaled volatile organic compounds: a new frontier in colon cancer screening and surveillance22. A clinical pathway for radical cystectomy leads to a shorter hospital stay and decreases 30-day postoperative complications: a NSQIP analysis23. Fertility preservation in young breast cancer patients: a population-based study24. Investigating factors associated with postmastectomy unplanned emergency department visits: a population-based analysis25. Impact of patient, tumour and treatment factors on psychosocial outcomes after treatment in women with invasive breast cancer26. The relationship between breast and axillary pathologic complete response in women receiving neoadjuvant chemotherapy for breast cancer01. The association between bacterobilia and the risk of postoperative complications following pancreaticoduodenectomy02. Surgical outcome and quality of life following exercise-based prehabilitation for hepatobiliary surgery: a systematic review and meta-analysis03. Does intraoperative frozen section and revision of margins lead to improved survival in patients undergoing resection of perihilar cholangiocarcinoma? A systematic review and meta-analysis04. Prolonged kidney procurement time is associated with worse graft survival after transplantation05. Venous thromboembolism following hepatectomy for colorectal metastases: a population-based retrospective cohort study06. Association between resection approach and transfusion exposure in liver resection for gastrointestinal cancer07. The association between surgeon volume and use of laparoscopic liver resection for gastrointestinal cancer08. Immune suppression through TIGIT in colorectal cancer liver metastases09. “The whole is greater than the sum of its parts” — a combined strategy to reduce postoperative pancreatic fistula after pancreaticoduodenectomy10. Laparoscopic versus open synchronous colorectal and hepatic resection for metastatic colorectal cancer11. Identifying prognostic factors for overall survival in patients with recurrent disease following liver resection for colorectal cancer metastasis12. Modified Blumgart pancreatojejunostomy with external stenting in laparoscopic Whipple reconstruction13. Laparoscopic versus open pancreaticoduodenectomy: a single centre’s initial experience with introduction of a novel surgical approach14. Neoadjuvant chemotherapy versus upfront surgery for borderline resectable pancreatic cancer: a single-centre cohort analysis15. Thermal ablation and telemedicine to reduce resource utilization during the COVID-19 pandemic16. Cost-utility analysis of normothermic machine perfusion compared with static cold storage in liver transplantation in the Canadian setting17. Impact of adjuvant therapy on overall survival in early-stage ampullary cancers: a single-centre retrospective review18. Presence of biliary anaerobes enhances response to neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma19. How does tumour viability influence the predictive capability of the Metroticket model? Comparing predicted-to-observed 5-year survival after liver transplant for hepatocellular carcinoma20. Does caudate resection improve outcomes in patients undergoing curative resection for perihilar cholangiocarcinoma? A systematic review and meta-analysis21. Appraisal of multivariable prognostic models for postoperative liver decompensation following partial hepatectomy: a systematic review22. Predictors of postoperative liver decompensation events following resection in patients with cirrhosis and hepatocellular carcinoma: a population-based study23. Characteristics of bacteriobilia and impact on outcomes after Whipple procedure01. Inverting the y-axis: the future of MIS abdominal wall reconstruction is upside down02. Progressive preoperative pneumoperitoneum: a single-centre retrospective study03. The role of radiologic classification of parastomal hernia as a predictor of the need for surgical hernia repair: a retrospective cohort study04. Comparison of 2 fascial defect closure methods for laparoscopic incisional hernia repair01. Hypoalbuminemia predicts serious complications following elective bariatric surgery02. Laparoscopic adjustable gastric band migration inducing jejunal obstruction associated with acute pancreatitis: aurgical approach of band removal03. Can visceral adipose tissue gene expression determine metabolic outcomes after bariatric surgery?04. Improvement of kidney function in patients with chronic kidney disease and severe obesity after bariatric surgery: a systematic review and meta-analysis05. A prediction model for delayed discharge following gastric bypass surgery06. Experiences and outcomes of Indigenous patients undergoing bariatric surgery: a mixed-methods scoping review07. What is the optimal common channel length in revisional bariatric surgery?08. Laparoscopic management of internal hernia in a 34-week pregnant woman09. Characterizing timing of postoperative complications following elective Roux-en-Y gastric bypass and sleeve gastrectomy10. Canadian trends in bariatric surgery11. Common surgical stapler problems and how to correct them12. Management of choledocholithiasis following Roux-en-Y gastric bypass: a systematic review and meta-analysis. Can J Surg 2021; 64:S80-S159. [PMID: 35483046 PMCID: PMC8677574 DOI: 10.1503/cjs.021321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - B Unger
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - L Gillman
- From the University of Manitoba, Winnipeg, Man
| | - K Hickey
- From Memorial University, St. John's, Nfld
| | - D Pace
- From Memorial University, St. John's, Nfld
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | | | - S Chadi
- University Health Network, Toronto, Ont
| | | | | | - J Catton
- University Health Network, Toronto, Ont
| | - B Rubin
- University Health Network, Toronto, Ont
| | - J Bell
- University Health Network, Toronto, Ont
| | | | | | | | | | - F Shariff
- From the University of Toronto, Toronto, Ont
| | - F Wright
- From the University of Toronto, Toronto, Ont
| | - N Ahmed
- From the University of Toronto, Toronto, Ont
| | - A Nadler
- From the University of Toronto, Toronto, Ont
| | - J Hallet
- From the University of Toronto, Toronto, Ont
| | - J Gentles
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Parapini
- University of British Columbia, Vancouver, B.C
| | | | - R Sidhu
- University of British Columbia, Vancouver, B.C
| | - T Scott
- University of British Columbia, Vancouver, B.C
| | | | - R Guo
- From the University of British Columbia, Vancouver, B.C
| | - A Nguyen
- From the University of British Columbia, Vancouver, B.C
| | - J Osborn
- From the University of British Columbia, Vancouver, B.C
| | - S Wiseman
- From the University of British Columbia, Vancouver, B.C
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - E Ertel
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | - L Baker
- University of Ottawa, Ottawa, Ont
| | - L Park
- University of Ottawa, Ottawa, Ont
| | - M Vered
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Zahrai
- University of Ottawa, Ottawa, Ont
| | - R Shorr
- The Ottawa Hospital, Ottawa, Ont
| | - A Davis
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Fergusson
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - S Rummel
- From the University of British Columbia, Vancouver, B.C
| | | | - A Karimuddin
- From the University of British Columbia, Vancouver, B.C
| | - M Stewart
- From the University of British Columbia, Vancouver, B.C
| | - A Melck
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Zhu
- From the University of Toronto, Toronto, Ont
| | - S Deng
- From the University of Toronto, Toronto, Ont
| | - B Greene
- From the University of Toronto, Toronto, Ont
| | - M Tsang
- From the University of Toronto, Toronto, Ont
| | - V Palter
- From the University of Toronto, Toronto, Ont
| | - S Jayaraman
- From the University of Toronto, Toronto, Ont
| | | | - A Mann
- From McMaster University, Hamilton, Ont
| | - J Tittley
- From McMaster University, Hamilton, Ont
| | - M Cadeddu
- From McMaster University, Hamilton, Ont
| | - M Nguyen
- University of Toronto, Toronto, Ont
| | - A Madani
- University Health Network, Toronto, Ont
| | | | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | - L Qu
- Western University, London, Ont
| | - A Istl
- Johns Hopkins Hospital, Baltimore, Md
| | - E Tang
- Western University, London, Ont
| | - D Gray
- Western University, London, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Callum
- Queen's University, Kingston, Ont
| | - R McLeod
- University of Toronto, Toronto, Ont
| | | | - Y Lin
- University of Toronto, Toronto, Ont
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Kammili
- From the McGill University Health Centre, Montreal, Que
| | | | - L Lee
- From the McGill University Health Centre, Montreal, Que
| | | | - L Ferri
- From the McGill University Health Centre, Montreal, Que
| | - C Mueller
- From the McGill University Health Centre, Montreal, Que
| | | | - B Haas
- University of Toronto, Toronto, Ont
| | | | | | | | - V Zuk
- Sunnybrook Research Institute, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Hsu
- University of Ottawa, Ottawa, Ont
| | | | - R Vasdev
- Sunnybrook Research Institute, Toronto, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - K D'Souza
- From the University of British Columbia, Vancouver, B.C
| | - C Huynh
- From the University of British Columbia, Vancouver, B.C
| | | | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Hameed
- From the University of British Columbia, Vancouver, B.C
| | - L Glass
- Western University, London, Ont
| | | | - P Murphy
- Medical College of Wisconsin, Milwaukee, Wis
| | - E Tang
- Western University, London, Ont
| | | | - J Hawel
- Western University, London, Ont
| | - L Kerr
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - S Zablotny
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - H Roldan
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - W He
- University of Manitoba, Winnipeg, Man
| | - X Jiang
- Memorial University of Newfoundland, St. John's, Nfld
| | - B Zheng
- University of Alberta, Edmonton, Alta
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - G Fried
- From McGill University, Montreal, Que
| | - C Mueller
- From McGill University, Montreal, Que
| | - S Valanci
- From McGill University, Montreal, Que
| | | | - J Cipolla
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | | | - J Cipolla
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - A Miles
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - J Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - A Fecso
- From the University of Toronto, Toronto, Ont
| | - T Chesney
- From the University of Toronto, Toronto, Ont
| | - J Mosko
- From the University of Toronto, Toronto, Ont
| | - D Skubleny
- From the University of Alberta, Edmonton, Alta
| | - P Hamilton
- From the University of Alberta, Edmonton, Alta
| | - S Ghosh
- From the University of Alberta, Edmonton, Alta
| | - S Widder
- From the University of Alberta, Edmonton, Alta
| | - D Schiller
- From the University of Alberta, Edmonton, Alta
| | - U Do
- McGill University, Montreal, Que
| | | | - M Pook
- McGill University, Montreal, Que
| | - N Barone
- McGill University, Montreal, Que
| | | | | | | | | | - H Elhaj
- McGill University Health Centre, Montreal, Que
| | | | - G Olleik
- McGill University, Montreal, Que
| | - P Kaneva
- McGill University Health Centre, Montreal, Que
| | - A Antoun
- McGill University, Montreal, Que
| | - N Safa
- McGill University, Montreal, Que
| | | | | | | | - G Fried
- McGill University Health Centre, Montreal, Que
| | - M Alhashemi
- McGill University Health Centre, Montreal, Que
| | - F Lee
- McGill University Health Centre, Montreal, Que
| | - G Baldini
- McGill University Health Centre, Montreal, Que
| | - L Feldman
- McGill University Health Centre, Montreal, Que
| | - J Fiore
- McGill University Health Centre, Montreal, Que
| | | | - S Parpia
- McMaster University, Hamilton, Ont
| | - L Ruo
- McMaster University, Hamilton, Ont
| | | | - S Lee
- McMaster University, Hamilton, Ont
| | | | - N Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Alfayyadh
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | | | - C Kruse
- McMaster University, Hamilton, Ont
| | | | - M Levin
- University of Toronto, Toronto, Ont
| | - K Aldrich
- Center for Medical Interoperability, Nashville, Tenn
| | - T Grantcharov
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont
| | - A Langerman
- Vanderbilt University Medical Center, Nashville, Tenn
| | - H Forbes
- From the University of Alberta, Edmonton, Alta
| | - R Anantha
- From the University of Alberta, Edmonton, Alta
| | - V Fawcett
- From the University of Alberta, Edmonton, Alta
| | | | - V Pravong
- University of Montreal, Montreal, Que
| | - M Gervais
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - G Rakovich
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - R Selvam
- From the University of Ottawa, Ottawa, Ont
| | - R Hu
- From the University of Ottawa, Ottawa, Ont
| | | | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - H Moloo
- From the University of Ottawa, Ottawa, Ont
| | - R Liu
- Western University, London, Ont
| | - A Elnahas
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - N Alkhamesi
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - J Hawel
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Tang
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - A Alnumay
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - C Schlachta
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Walser
- From Western University, London, Ont
| | - C Zhang
- From Western University, London, Ont
| | | | - M Ott
- From Western University, London, Ont
| | - A Lee
- From the University of Ottawa, Ottawa, Ont
| | - B Niu
- From the University of Ottawa, Ottawa, Ont
| | - F Balaa
- From the University of Ottawa, Ottawa, Ont
| | - N Gawad
- From the University of Ottawa, Ottawa, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - Y Qiu
- From McMaster University, Hamilton, Ont
| | - K Hamann
- From McMaster University, Hamilton, Ont
| | - N How
- From McMaster University, Hamilton, Ont
| | | | | | - A Eqbal
- From McMaster University, Hamilton, Ont
| | | | | | | | - E Lee
- From McMaster University, Hamilton, Ont
| | - I Yang
- From McMaster University, Hamilton, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - H Muaddi
- University of Toronto, Toronto, Ont
| | - T Stukel
- ICES, University of Toronto, Toronto, Ont
| | - C de Mestral
- St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - A Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - P Karanicolas
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Avoine
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Gagné
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - C Thibault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - M Gosselin
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - T Stuleanu
- From the University of Ottawa, Ottawa, Ont
| | - A Jarrar
- From the University of Ottawa, Ottawa, Ont
| | | | | | - R Nenshi
- McMaster University, Hamilton, Ont
| | - A Jerath
- University of Toronto, Toronto, Ont
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - K Singh
- University of Toronto, Toronto, Ont
| | - T Amir
- McMaster University, Hamilton, Ont
| | - E Liu
- McMaster University, Hamilton, Ont
| | | | - R Mao
- McMaster University, Hamilton, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - J Yan
- University of British Columbia, Vancouver, B.C
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - R Tin
- From the University of Alberta, Edmonton, Alta
| | - R Brisebois
- From the University of Alberta, Edmonton, Alta
| | - N Bradley
- From the University of Alberta, Edmonton, Alta
| | - R Wigen
- From Western University, London, Ont
| | - E Walser
- From Western University, London, Ont
| | | | | | - K Vogt
- From Western University, London, Ont
| | - R Hilsden
- From Western University, London, Ont
| | - N Parry
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - R Raskin
- From Dalhousie University, Halifax, N.S
| | - J Jones
- From Dalhousie University, Halifax, N.S
| | - K Neumann
- From Dalhousie University, Halifax, N.S
| | - C Dwyer
- University of Alberta, Edmonton, Alta
| | | | - N Bradley
- University of Alberta, Edmonton, Alta
| | | | - K Lobay
- University of Alberta, Edmonton, Alta
| | | | - E Chang
- University of Alberta, Edmonton, Alta
| | - S Widder
- University of Alberta, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - W Sun
- University of Alberta, Edmonton, Alta
| | - J Beck
- Royal Alexandra Hospital, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - R Liu
- From Western University, London, Ont
| | | | - S Jones
- From Western University, London, Ont
| | | | | | - M Ott
- From Western University, London, Ont
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - W Sun
- University of Alberta, Edmonton, Alta
| | | | - J Dang
- University of Alberta, Edmonton, Alta
| | - V Mocanu
- University of Alberta, Edmonton, Alta
| | - G Lutzak
- University of Alberta, Edmonton, Alta
| | | | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Karmali
- University of Alberta, Edmonton, Alta
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - M Petrera
- From the University of Ottawa, Ottawa, Ont
| | - M Pickell
- From the University of Ottawa, Ottawa, Ont
| | - R Auer
- From the University of Ottawa, Ottawa, Ont
| | - N Patro
- From McMaster University, Hamilton, Ont
| | - B Li
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - H Wilson
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - C Wong
- From the University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | | | - A Cieply
- University of Alberta, Edmonton, Alta
| | - H Hawes
- University of British Columbia, Vancouver, B.C
| | - E Joos
- University of British Columbia, Vancouver, B.C
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - P Engels
- McMaster University, Hamilton, Ont
| | - J Drung
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - K Leslie
- From the University of Western Ontario, London, Ont
| | - G Pang
- From Western University, London, Ont
| | - M Kwong
- From Western University, London, Ont
| | | | | | - J Hawel
- From Western University, London, Ont
| | - A Elnahas
- From Western University, London, Ont
| | | | | | - S Chadi
- University of Toronto, Toronto, Ont
| | | | - D Chang
- Harvard University, Cambridge, Mass
| | - M Hutter
- Harvard University, Cambridge, Mass
| | - R Spence
- Dalhousie University, Halifax, N.S
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - Y Longtin
- Jewish General Hospital, Montreal, Que
| | - S Liberman
- McGill University Health Centre, Montreal, Que
| | | | | | - M Poirier
- Hôpital Maisonneuve-Rosemont, Université de Montréal, Montreal, Que
| | | | - H Sebajang
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Younan
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - F Schwenter
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E De Broux
- Centre hospitalier de l'Université de Montreal, Montreal, Que
| | - K Larsen
- University of Toronto, Toronto, Ont
| | | | | | - J Nantais
- University of Manitoba, Winnipeg, Man
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - R Mao
- McMaster University, Hamilton, Ont
| | - J Kay
- McMaster University, Hamilton, Ont
| | - R Lohre
- University of British Columbia, Vancouver, B.C
| | - O Ayeni
- McMaster University, Hamilton, Ont
| | - D Goel
- University of British Columbia, Vancouver, B.C
| | - D de Sa
- McMaster University, Hamilton, Ont
| | - R He
- University of Alberta, Edmonton, Alta
| | - D Hylton
- McMaster University, Hamilton, Ont
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | - S Johnson
- University of Alberta, Edmonton, Alta
| | - B Laing
- University of Alberta, Edmonton, Alta
| | - A Valji
- University of Alberta, Edmonton, Alta
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | | | | | | | | | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | | | | | | | | | - Y Patel
- McMaster University, Hamilton, Ont
| | | | - D Hylton
- McMaster University, Hamilton, Ont
| | - F Xie
- McMaster University, Hamilton, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - J Spicer
- McGill University, Montreal, Que
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - S Turner
- University of Alberta, Edmonton, Alta
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Beauchamp
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Wald
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - L Mbuagbaw
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Agzarian
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Finley
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Fahim
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Abbas
- From McMaster University, Hamilton, Ont
| | - O Olaiya
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - C Finley
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - A Ednie
- Western University, London, Ont
| | - D Palma
- Western University, London, Ont
| | | | | | | | - M Qiabi
- Western University, London, Ont
| | - R Nayak
- Western University, London, Ont
| | | | - A Louie
- Sunnybrook Health Sciences Centre
| | | | | | - J Laba
- Western University, London, Ont
| | | | - J Alaichi
- From McMaster University, Hamilton, Ont
| | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - B Mador
- From the University of Alberta, Edmonton, Alta
| | - H Lai
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | - M Kim
- From the University of Alberta, Edmonton, Alta
| | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Louie
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - V Zuk
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - G Darling
- Toronto General Hospital, Toronto, Ont
| | | | - T Chesney
- St. Michael's Hospital, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - J Hallet
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - M Lee
- University of Toronto, Toronto, Ont
| | - L Thiru
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | - R Nayak
- Western University, London, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | - W Li
- ICES Queen's, Kingston, Ont
| | | | | | - N Mistry
- From McMaster University, Hamilton, Ont
| | - A Gatti
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - C Anestee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - R Razzak
- University of Manitoba, Winnipeg, Man
| | - A Ashrafi
- University of British Columbia, Vancouver, B.C
| | | | | | - S Stone
- University of British Columbia, Vancouver, B.C
| | | | - T Bong
- Fraser Health Authority, B.C
| | - R Bond
- University of British Columbia, Vancouver, B.C
| | - A Hafizi
- Surrey Thoracic Surgery Group, Surrey, B.C
| | - M De Meo
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - R Rayes
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - S Milette
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Vagai
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Usatii
- Research Institute of the McGill University Health Centre, Montreal, Que
| | | | - B Giannias
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - F Bourdeau
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - V Sangwan
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - N Bertos
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - C Moraes
- McGill University, Montreal, Que
| | - S Huang
- McGill University, Montreal, Que
| | - D Quail
- McGill University, Montreal, Que
| | - L Walsh
- McGill University, Montreal, Que
| | - S Camilleri-Broet
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - P Fiset
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Cools-Lartigue
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - L Ferri
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Spicer
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - A Kammili
- McGill University Health Centre, Montreal, Que
| | - E Bilgic
- McGill University Health Centre, Montreal, Que
| | | | | | - S Najmeh
- McGill University Health Centre, Montreal, Que
| | - C Mueller
- McGill University Health Centre, Montreal, Que
| | - L Esther
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - J Lu
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Brophy
- From Dalhousie University, Halifax, N.S
| | - K Brennan
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | - V Resende
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | - O Solaja
- The Ottawa Hospital, Ottawa, Ont
| | | | - D Maziak
- The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Sisson
- From the University of Toronto, Toronto, Ont
| | - L Donahoe
- From the University of Toronto, Toronto, Ont
| | - P Bedard
- From the University of Toronto, Toronto, Ont
| | - A Hansen
- From the University of Toronto, Toronto, Ont
| | - M De Perrot
- From the University of Toronto, Toronto, Ont
| | | | - A Simone
- University of Ottawa, Ottawa, Ont
| | - H Begum
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - J Huang
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - H Lai
- University of Alberta, Edmonton, Alta
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | | | - S Murthy
- Cleveland Clinic, Cleveland, Ohio
| | - J Lin
- University of Michigan, Ann Arbor, Mich
| | | | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - H Li
- Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | | | | | - E Lau
- McMaster University, Hamilton, Ont
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - C Finley
- McMaster University, Hamilton, Ont
| | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | | | - L Davis
- McGill University, Montreal, Que
| | | | - B Kidane
- University of Toronto, Toronto, Ont
| | - G Darling
- University Health Network, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - C Huynh
- From McGill University, Montreal, Que
| | | | - L Ferri
- From McGill University, Montreal, Que
| | - S Najmeh
- From McGill University, Montreal, Que
| | - C Sirois
- From McGill University, Montreal, Que
| | - D Mulder
- From McGill University, Montreal, Que
| | - J Spicer
- From McGill University, Montreal, Que
| | | | | | - D Nguyen
- From the University of Ottawa, Ottawa, Ont
| | - C Anstee
- From the University of Ottawa, Ottawa, Ont
| | - E Delic
- From the University of Ottawa, Ottawa, Ont
| | - S Gilbert
- From the University of Ottawa, Ottawa, Ont
| | - D Maziak
- From the University of Ottawa, Ottawa, Ont
| | | | - A Seely
- From the University of Ottawa, Ottawa, Ont
| | - D Sisson
- University of Toronto, Toronto, Ont
| | | | | | - D Low
- Virginia Mason Medical Center, Seattle, Wash
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - M Humer
- From the University of British Columbia, Kelowna, B.C
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - D Nguyen
- University of Ottawa, Ottawa, Ont
| | - A Al Rawahi
- Department of Surgery, University of Ottawa, Ottawa, Ont
| | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | | | | | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Kay
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - B Shayegan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - A Adili
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | | | - C Huynh
- From McGill University, Montreal, Que
| | | | | | - F Maleki
- From McGill University, Montreal, Que
| | - K Ovens
- From McGill University, Montreal, Que
| | - M Gold
- From McGill University, Montreal, Que
| | - M Sorin
- From McGill University, Montreal, Que
| | - R Falutz
- From McGill University, Montreal, Que
| | - R Rayes
- From McGill University, Montreal, Que
| | | | - J Spicer
- From McGill University, Montreal, Que
| | - N Hunka
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Kennedy
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Bigsby
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Bharadwaj
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Gowing
- From the University of Saskatchewan, Saskatoon, Sask
| | | | - A Gatti
- From McMaster University, Hamilton, Ont
| | - D Hylton
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | | | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | - K Pearce
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - D Jones
- From The Ottawa Hospital, Ottawa, Ont
| | - C Anstee
- From The Ottawa Hospital, Ottawa, Ont
| | - S Kumar
- From The Ottawa Hospital, Ottawa, Ont
| | | | - A Simone
- From The Ottawa Hospital, Ottawa, Ont
| | | | - K Thavorn
- From The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- From The Ottawa Hospital, Ottawa, Ont
| | - V Gupta
- From the University of Toronto, Toronto, Ont
| | | | - A Mohammed
- From the University of Toronto, Toronto, Ont
| | - S Uddin
- From the University of Toronto, Toronto, Ont
| | - D Jones
- From the University of Toronto, Toronto, Ont
| | - A Behzadi
- From the University of Toronto, Toronto, Ont
| | - A Brar
- From the University of Toronto, Toronto, Ont
| | - L Qu
- From Western University, London, Ont
| | - M Qiabi
- From Western University, London, Ont
| | - R Nayak
- From Western University, London, Ont
| | | | - E Peters
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - V Gupta
- University of Toronto, Toronto, Ont
| | - J Levy
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | | | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - M Robinson
- From the University of Manitoba, Winnipeg, Man
| | - L Bednarek
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - H Wang
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | | | - K Graham
- From the University of Manitoba, Winnipeg, Man
| | - S Enns
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - A Tan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | | | - E Poole
- University of Manitoba, Winnipeg, Man
| | - C Pascoe
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - T Karakach
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - G Buduhan
- University of Manitoba, Winnipeg, Man
| | - L Tan
- University of Manitoba, Winnipeg, Man
| | | | - A Halayko
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - B Fang
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - O Hershorn
- From the University of Manitoba, Winnipeg, Man
| | - D Hochman
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - R Robertson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | - C Cahill
- University of Calgary, Calgary, Alta
| | - M Lipson
- University of Calgary, Calgary, Alta
| | - A Afzal
- University of Calgary, Calgary, Alta
| | - A Maclean
- University of Calgary, Calgary, Alta
| | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Roen
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | | | | | - M Chu
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - N Amin
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | | | | | - K Ramji
- McMaster University, Hamilton, Ont
| | - C Kruse
- McMaster University, Hamilton, Ont
| | - H Jaffer
- University of Toronto, Toronto, Ont
| | | | - N Amin
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | - R Hajjar
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Oliero
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - T Cuisiniere
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - G Fragoso
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Calvé
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - S Djediai
- Université du Québec à Montréal, Montreal, Que
| | - B Annabi
- Université du Québec à Montréal, Montreal, Que
| | - C Richard
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Santos
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - Y Zhou
- From the University of Alberta, Edmonton, Alta
| | - S Dodd
- From the University of Alberta, Edmonton, Alta
| | - B Ring
- From the University of Alberta, Edmonton, Alta
| | - Y Yuan
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | | | | | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - E Salama
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - G Talwar
- McMaster University, Hamilton, Ont
| | - R Daniel
- University of Toronto, Toronto, Ont
| | | | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | | | | | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - A Chen
- McMaster University, Hamilton, Ont
| | - A Patel
- Western University, London, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | | | | | | | - J Moon
- Jewish General Hospital, Montreal, Que
| | - M Demian
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - R Selvam
- University of Ottawa, Ottawa, Ont
| | - H Moloo
- University of Ottawa, Ottawa, Ont
| | - H MacRae
- University of Toronto, Toronto, Ont
| | - F Alam
- University of Toronto, Toronto, Ont
| | - I Raiche
- University of Ottawa, Ottawa, Ont
| | - J Holland
- From McGill University, Montreal, Que
| | - M Cwintal
- From McGill University, Montreal, Que
| | - G Rigas
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - J Holland
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - C Brown
- From St. Paul's Hospital, Vancouver, B.C
| | | | - M Raval
- From St. Paul's Hospital, Vancouver, B.C
| | - P Phang
- From St. Paul's Hospital, Vancouver, B.C
| | - A Ghuman
- From St. Paul's Hospital, Vancouver, B.C
| | - M Li
- University of Calgary, Calgary, Alta
| | - S Muncner
- University of Alberta, Edmonton, Alta
| | | | - M Dykstra
- University of Alberta, Edmonton, Alta
| | | | - H Wang
- University of Alberta, Edmonton, Alta
| | - O Monton
- McMaster University, Hamilton, Ont
| | - A Smith
- Western University, London, Ont
| | - J Moon
- McGill University, Montreal, Que
| | - M Demian
- McGill University, Montreal, Que
| | | | | | | | | | - O AlAamer
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - N AlSelaim
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - M AlMalki
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - A Al-Osail
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - R Ruxton
- From Southland Hospital, Invercargill, New Zealand
| | - P Manuel
- From Southland Hospital, Invercargill, New Zealand
| | - F Mohamed
- From Southland Hospital, Invercargill, New Zealand
| | | | - S Serahati
- University of Saskatchewan, Saskatoon, Saskatchewan
| | | | - C Brown
- Providence Health Care, Vancouver, B.C
| | - M Raval
- Providence Health Care, Vancouver, B.C
| | | | - A Ghuman
- Providence Health Care, Vancouver, B.C
| | - T Phang
- Providence Health Care, Vancouver, B.C
| | | | - J Moon
- McGill University, Montreal, Que
| | | | - S Chadi
- University Health Network, Toronto, Ont
| | - K Alavi
- University of Massachusetts, Amherst, Mass
| | - I Paquette
- University of Cincinnati, Cincinnati, Ohio
| | - T MacLean
- University of Calgary, Calgary, Alta
| | - S Wexner
- Cleveland Clinic Florida, Weston, Fla
| | | | - S Steele
- Cleveland Clinic, Cleveland, Ohio
| | - J Park
- University of Manitoba, Winnipeg, Man
| | - S Patel
- Queen's University, Kingston, Ont
| | | | - R Auer
- The Ottawa Hospital, Ottawa, Ont
| | - P Sylla
- Icahn School of Medicine at Mount Sinai, New York, N.Y
| | - N Morin
- McGill University, Montreal, Que
| | - A Ghuman
- McGill University, Montreal, Que
| | | | - Z Bayat
- From the University of Toronto, Toronto, Ont
| | - E Kennedy
- From the University of Toronto, Toronto, Ont
| | - C Victor
- From the University of Toronto, Toronto, Ont
| | | | - J Liang
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - H Roy
- University of Saskatchewan, Saskatoon, Sask
| | - Z Baig
- University of Saskatchewan, Saskatoon, Sask
| | | | - M Raval
- University of British Columbia, Vancouver, B.C
| | - C Brown
- University of British Columbia, Vancouver, B.C
| | - T Phang
- University of British Columbia, Vancouver, B.C
| | - D Gill
- University of Saskatchewan, Saskatoon, Sask
| | - N Ginther
- University of Saskatchewan, Saskatoon, Sask
| | - J Moon
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - E Salama
- From McGill University, Montreal, Que
| | | | | | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - V Wiseman
- From Queen's University, Kingston, Ont
| | - L Zhang
- From Queen's University, Kingston, Ont
| | | | | | | | | | - S V Patel
- From Queen's University, Kingston, Ont
| | - Z Harra
- From McGill University, Montreal, Que
| | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Hegagi
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | | | | | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | | | - N Kasteel
- University of Calgary, Calgary, Alta
| | - G Kaur
- University of Calgary, Calgary, Alta
| | - S Bindra
- University of Calgary, Calgary, Alta
| | - A Malhotra
- Vardhman Mahavir Medical College, New Delhi, India
| | - C Graham
- University of Calgary, Calgary, Alta
| | - A MacLean
- University of Calgary, Calgary, Alta
| | - P Beck
- University of Calgary, Calgary, Alta
| | - H Jijon
- University of Calgary, Calgary, Alta
| | - J Ferraz
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | - R Szwimer
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - M Demian
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | - W Kong
- Queen's Cancer Research Institute, Kingston, Ont
| | | | - T Hanna
- Queen's University, Kingston, Ont
| | - W Chung
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | - S Patel
- Queen's University, Kingston, Ont
| | - C Booth
- Queen's University, Kingston, Ont
| | - V Li
- From McMaster University, Hamilton, Ont
| | - A Awan
- From McMaster University, Hamilton, Ont
| | - P Serrano
- From McMaster University, Hamilton, Ont
| | - M Jacobson
- From the University of Calgary, Calgary, Alta
| | - M Chanco
- From the University of Calgary, Calgary, Alta
| | - V Wen
- From the University of Calgary, Calgary, Alta
| | - N Singh
- From the University of Calgary, Calgary, Alta
| | - L Peiris
- From the University of Calgary, Calgary, Alta
| | - J Pasieka
- From the University of Calgary, Calgary, Alta
| | - P Ghatage
- From the University of Calgary, Calgary, Alta
| | - D Buie
- From the University of Calgary, Calgary, Alta
| | - T MacLean
- From the University of Calgary, Calgary, Alta
| | | | - L Mack
- From the University of Calgary, Calgary, Alta
| | - W Marini
- From the University of Toronto, Toronto, Ont
| | - W Zheng
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - M Reedijk
- From the University of Toronto, Toronto, Ont
| | | | - L Peiris
- From the University of Alberta, Edmonton, Alta
| | | | - L Delmar
- From the University of Alberta, Edmonton, Alta
| | - N Gagnon
- Université de Sherbrooke, Sherbrooke, Que
| | | | | | | | | | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - L Barbera
- University of Calgary, Calgary, Alta
| | - Y Efegoma
- University of Calgary, Calgary, Alta
| | - D Howell
- Princess Margaret Research Institute, Toronto, Ont
| | | | | | - A Scheer
- St. Michael's Hospital, Toronto, Ont
| | - C Simmons
- University of British Columbia, Vancouver, B.C
| | | | | | - Y Xu
- University of Calgary, Calgary, Alta
| | | | - M Quan
- University of Calgary, Calgary, Alta
| | - A Alqaydi
- From Queen's University, Kingston, Ont
| | - J la
- From Queen's University, Kingston, Ont
| | | | - G Digby
- From Queen's University, Kingston, Ont
| | - V Pravong
- University of Montreal, Montreal, Que
| | | | - L Sidéris
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - P Dubé
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | | | - S Fortin
- University of Montreal, Montreal, Que
| | - M Auclair
- University of Montreal, Montreal, Que
| | - B Trilling
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - J Tremblay
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - É Di Lena
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Wong
- From McGill University, Montreal, Que
| | | | - É Di Lena
- From McGill University, Montreal, Que
| | - N Barone
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Dumitra
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - H Kapur
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazarelli
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - L Cadili
- From the University of British Columbia, Vancouver, B.C
| | - K DeGirolamo
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - D Ng
- From the University of Toronto, Toronto, Ont
| | - A Ali
- From the University of Toronto, Toronto, Ont
| | - D Eymae
- From the University of Toronto, Toronto, Ont
| | - K Lee
- From the University of Toronto, Toronto, Ont
| | - S Brar
- From the University of Toronto, Toronto, Ont
| | - J Conner
- From the University of Toronto, Toronto, Ont
| | - M Magalhaes
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - K Allen
- From the University of British Columbia, Vancouver, B.C
| | - C Baliski
- From the University of British Columbia, Vancouver, B.C
| | - D Cyr
- University of Toronto, Toronto, Ont
| | - A Sari
- Sinai Health System, Toronto, Ont
| | | | - D Driman
- London Health Sciences Centre, London, Ont
| | | | - A Juda
- Sinai Health System, Toronto, Ont
| | | | | | - M Brar
- University of Toronto, Toronto, Ont
| | - J Conner
- Sinai Health System, Toronto, Ont
| | - R Kirsch
- Sinai Health System, Toronto, Ont
| | | | - K Singh
- University of Toronto, Toronto, Ont
| | | | - Y Gamache
- ASDevices, Spira Innovations, Thetford, Que
| | | | - C Mardinger
- From the University of Calgary, Calgary, Alta
| | - C Lee
- From the University of Calgary, Calgary, Alta
| | - R Duckworth
- From the University of Calgary, Calgary, Alta
| | - M Brindle
- From the University of Calgary, Calgary, Alta
| | - F Fraulin
- From the University of Calgary, Calgary, Alta
| | - L Austen
- From the University of Calgary, Calgary, Alta
| | - J Kortbeek
- From the University of Calgary, Calgary, Alta
| | - M Hyndman
- From the University of Calgary, Calgary, Alta
| | - D Nguyen
- From McGill University, Montreal, Que
| | - G Jamjoum
- From McGill University, Montreal, Que
| | | | - S Langer
- University of Calgary, Calgary, Alta
| | - Y Yuan Xu
- University of Calgary, Calgary, Alta
| | - S Kong
- Alberta Health Services, Calgary, Alta
| | - M Quan
- University of Calgary, Calgary, Alta
| | - D Lim
- Women's College Hospital, Toronto, Ont
| | | | | | - K Butler
- University Health Network, Toronto, Ont
| | | | - T Cil
- University of Toronto, Toronto, Ont
| | - T Zhong
- University of Toronto, Toronto, Ont
| | - S Hofer
- University of Toronto, Toronto, Ont
| | | | | | - D Lim
- Women's College Hospital, Toronto, Ont
| | - B Greene
- University of Toronto, Toronto, Ont
| | | | - M Parapini
- University of British Columbia, Vancouver, B.C
| | - J Skipworth
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, U.K
| | - A Mah
- University of British Columbia, Vancouver, B.C
| | - S Desai
- University of British Columbia, Vancouver, B.C
| | - S Chung
- University of British Columbia, Vancouver, B.C
| | - C Scudamore
- University of British Columbia, Vancouver, B.C
| | - M Segedi
- University of British Columbia, Vancouver, B.C
| | - E Vasilyeva
- University of British Columbia, Vancouver, B.C
| | - J Li
- University of British Columbia, Vancouver, B.C
| | - P Kim
- University of British Columbia, Vancouver, B.C
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - A Deprato
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - K Dajani
- From the University of Alberta, Edmonton, Alta
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health & Science University, Portland, Ore
| | | | | | | | | | | | | | - N Hanna
- Queen's University, Kingston, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | | | - C Booth
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - J Callum
- Queen's University, Kingston, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - J Hallet
- University of Toronto, Toronto, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - D Henault
- From the University of Montreal, Montreal, Que
| | - B Barrette
- From the University of Montreal, Montreal, Que
| | - S Pelletier
- From the University of Montreal, Montreal, Que
| | - P Thebault
- From the University of Montreal, Montreal, Que
| | | | - Z Rong
- From the University of Montreal, Montreal, Que
| | - M Plasse
- From the University of Montreal, Montreal, Que
| | | | | | - R Lapointe
- From the University of Montreal, Montreal, Que
| | | | - B Nguyen
- From the University of Montreal, Montreal, Que
| | - G Soucy
- From the University of Montreal, Montreal, Que
| | - S Turcotte
- From the University of Montreal, Montreal, Que
| | - M Lemke
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - M Lund
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - J Glinka
- From the University of Western Ontario, London, Ont
| | - G Jada
- From the University of Western Ontario, London, Ont
| | - D Quan
- From the University of Western Ontario, London, Ont
| | - A Skaro
- From the University of Western Ontario, London, Ont
| | - E Tang
- From the University of Western Ontario, London, Ont
| | - L Park
- McMaster University, Hamilton, Ont
| | - J Daza
- University of Toronto, Toronto, Ont
| | - V Li
- McMaster University, Hamilton, Ont
| | | | - B Zhang
- McMaster University, Hamilton, Ont
| | | | - S Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - R Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M Fabbro
- University of Toronto, Toronto, Ont
| | - C Gu
- McMaster University, Hamilton, Ont
| | | | - V Zuk
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | | | - J Glinka
- From the Western University, London, Ont
| | - A Skaro
- From the Western University, London, Ont
| | - K Leslie
- From the Western University, London, Ont
| | - G Jada
- From the Western University, London, Ont
| | - D Quan
- From the Western University, London, Ont
| | - E Tang
- From the Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - M Lemke
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | | | - R Liu
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - S Welch
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - G Jada
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - A Webb
- From the University of Alberta, Edmonton, Alta
| | - E Lester
- From the University of Alberta, Edmonton, Alta
| | - A Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Eurich
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - Y Essaji
- From Virginia Mason Medical Center, Seattle, Wash
| | - H Shrader
- From the University of Iowa, Iowa City, Iowa
| | - A Nayyar
- From the University of Iowa, Iowa City, Iowa
| | - M Suraju
- From the University of Iowa, Iowa City, Iowa
| | | | - P Ear
- From the University of Iowa, Iowa City, Iowa
| | - C Chan
- From the University of Iowa, Iowa City, Iowa
| | - V Smith
- From Dalhousie University, Halifax, N.S
| | | | - A Costa
- From Dalhousie University, Halifax, N.S
| | - A Stueck
- From Dalhousie University, Halifax, N.S
| | | | - S Allen
- From Dalhousie University, Halifax, N.S
| | | | | | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health and Science University, Portland, Ore
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | - Z Mir
- From Queen's University, Kingston, Ont
| | - H Golding
- From Queen's University, Kingston, Ont
| | - S McKeown
- From Queen's University, Kingston, Ont
| | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - Z Mir
- From Queen's University, Kingston, Ont
| | | | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - S Elbekri
- University of Sherbrooke, Sherbrooke, Que
| | - S Turcotte
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Girard
- Centre hospitalier universitaire de Grenoble Alpes, Grenoble, France
| | | | - R Lapointe
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | | | - M Dagenais
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Roy
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Letourneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Plasse
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Simoneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - Z Rong
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - N Zuker
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - M Oakley
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - G Chartrand
- From the University of Montreal, Montreal, Que
| | - B Misheva
- From the University of Montreal, Montreal, Que
| | - Y Bendavid
- From the University of Montreal, Montreal, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - L Smith
- North York General Hospital, North York, Ont
| | - J Tan
- Humber River Hospital, North York, Ont
| | - U Kahn
- University of Toronto, Toronto, Ont
| | - C McLean
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - M Fortin
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - X Paré
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - A Doyon
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | | | | | - J Yadav
- University of Toronto, Toronto, Ont
| | - S Fischer
- University Health Network, Toronto, Ont
| | - T Jackson
- University Health Network, Toronto, Ont
| | - J Allard
- University Health Network, Toronto, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - S Anvari
- McMaster University, Hamilton, Ont
| | - M Chu
- McMaster University, Hamilton, Ont
| | | | - I Aditya
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - M Walsh
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | - W He
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | - R Romanescu
- From the University of Manitoba, Winnipeg, Man
| | - F Deaninck
- From the University of Manitoba, Winnipeg, Man
| | - J Linton
- From the University of Manitoba, Winnipeg, Man
| | | | | | - G Shingoose
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - V Archer
- From McMaster University, Hamilton, Ont
| | | | - J Shiroky
- From McMaster University, Hamilton, Ont
| | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - G Marcil
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - A Jarrar
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - W Lin
- University of Toronto, Toronto, Ont
| | - J Hagen
- Humber River Hospital, North York, Ont
| | - M Connell
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
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Xu SR, Xia ML, Deng S, Li XR, Si JQ, Li L. [The effect of large-conductance calcium-activated potassium channels on the migration of pericytes in the mice of senile cochlear stria vascularis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2021; 56:1319-1327. [PMID: 34963221 DOI: 10.3760/cma.j.cn115330-20201225-00951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate whether large conductance calcium-activated potassium channel (BK(Ca)) was involved in the migration of pericytes (PC) in the mice of senile cochlear stria vascularis capillaries PC. Methods: C57BL/6J mice were divided into 3-month (n=10) and 12-month groups (n=10). Auditory brainstem response (ABR) was used to test the hearing threshold of each group. The immunofluorescence was used to detect the expression changes of osteopontin (OPN) and β-BK(Ca) channels on cochlear stria vascularis PC. The morphological changes of perivascular cells in cochlea were observed by transmission electron microscope (TEM). Cell experiment: The PC, which were in the stria vascularis of the cochlea were primary cultured and identified. A cell senile model was made with D-gal. The appropriate intervention concentration of low galactose (D-gal) was determined by CCK8. β-galactosidase (SA-β-gal) staining was used to evaluate the cell decrept level. The change of BK(Ca) channels current on PC were recorded by whole cell patch clamp technique. The expression of BK(Ca) channels on PC was detected by immunofluorescence. The migration and invasion ability of two groups were detected by using Scratch test and Transwell. The levels of OPN and β-BK(Ca) channels were detected by Western blot. SPSS 22.0 software was used to analyze the data. Results: The ABR threshold in the 12-month group was higher than 3-month group (t=12.66, P<0.01). In the 12-month group, the expression of β-BK(Ca) channel was lower and the expression of OPN was increased (t=14.64, P<0.01; t=20.73, P<0.01). In TEM, cochlear stria vascularis PC were tightly connected to endothelial cells in 3-month group, while PC were loosely connected to endothelial cells or PC soma were separated from the capillary in 12-month group. Cell experiment: The positive rate of PC in the primary cultured cochlear stria vascularis is above 95%. Compared with the SA-β-gal stained cells in the control group, the positive rate of 15 mg/ml D-gal intervention PC was 85% (t=36.90, P<0.01). Whole cell patch clamp BK(Ca) channels current decreased in the D-gal group compared with the young group PC (t=12.18, P<0.05). The OPN expression in the senile group was higher than control group (t=16.30, P<0.01), while the β-BK(Ca) channels expression was decreased (t=11.98, P<0.01; t=15.72, P<0.05), and migration ability raised (t=7.91, P<0.01;t=7.59, P<0.01). After intervened of BK(Ca) channels specific blocker IBTX in the D-gal group, the expression of OPN and migration were increased (t=4.26, P<0.05; t=5.88, P<0.01; t=21.97, P<0.01). Conclusion: PC migration capacity were increased during the senile period, and the expression of β-BK(Ca) channel was decreased. The administration of IBTX, a specific blocker of BK(Ca) channel, at the cell level could increase the migration capacity, suggesting that BK(Ca) might be involved in the migration of PC in the stria vascularis of the aging cochlea.
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Affiliation(s)
- S R Xu
- Department of Physiology, Shihezi University, Shihezi 832002, China
| | - M L Xia
- Department of Basic Medicine, Jiaxing Medical College, Jiaxing 314000, China
| | - S Deng
- Department of Physiology, Shihezi University, Shihezi 832002, China
| | - X R Li
- Department of Central Laboratory, the First Affiliated Hospital of Shihezi University, Shihezi 832002, China
| | - J Q Si
- Department of Physiology, Shihezi University, Shihezi 832002, China
| | - L Li
- Department of Basic Medicine, Jiaxing Medical College, Jiaxing 314000, China
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