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Nygård K, McDonald SA, González JB, Haghighat V, Appel C, Larsson E, Ghanbari R, Viljanen M, Silva J, Malki S, Li Y, Silva V, Weninger C, Engelmann F, Jeppsson T, Felcsuti G, Rosén T, Gordeyeva K, Söderberg L, Dierks H, Zhang Y, Yao Z, Yang R, Asimakopoulou EM, Rogalinski J, Wallentin J, Villanueva-Perez P, Krüger R, Dreier T, Bech M, Liebi M, Bek M, Kádár R, Terry AE, Tarawneh H, Ilinski P, Malmqvist J, Cerenius Y. ForMAX - a beamline for multiscale and multimodal structural characterization of hierarchical materials. J Synchrotron Radiat 2024; 31:363-377. [PMID: 38386565 PMCID: PMC10914163 DOI: 10.1107/s1600577524001048] [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: 11/30/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
The ForMAX beamline at the MAX IV Laboratory provides multiscale and multimodal structural characterization of hierarchical materials in the nanometre to millimetre range by combining small- and wide-angle X-ray scattering with full-field microtomography. The modular design of the beamline is optimized for easy switching between different experimental modalities. The beamline has a special focus on the development of novel fibrous materials from forest resources, but it is also well suited for studies within, for example, food science and biomedical research.
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Affiliation(s)
- K. Nygård
- MAX IV Laboratory, Lund University, Lund, Sweden
| | | | | | - V. Haghighat
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Appel
- MAX IV Laboratory, Lund University, Lund, Sweden
- Paul Scherrer Institut, Villigen PSI, Switzerland
| | - E. Larsson
- MAX IV Laboratory, Lund University, Lund, Sweden
- Division of Solid Mechanics, Lund University, Lund, Sweden
| | - R. Ghanbari
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Viljanen
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - S. Malki
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Li
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - V. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Weninger
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - F. Engelmann
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Jeppsson
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - G. Felcsuti
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Rosén
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - K. Gordeyeva
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
| | - L. D. Söderberg
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - H. Dierks
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Y. Zhang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Z. Yao
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - R. Yang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | | | - J. Wallentin
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | - R. Krüger
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - T. Dreier
- Medical Radiation Physics, Lund University, Lund, Sweden
- Excillum AB, Kista, Sweden
| | - M. Bech
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - M. Liebi
- Paul Scherrer Institut, Villigen PSI, Switzerland
- Institute of Materials, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Bek
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - R. Kádár
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Wallenberg Wood Science Center (WWSC), Chalmers University of Technology, Gothenburg, Sweden
| | - A. E. Terry
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - H. Tarawneh
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - P. Ilinski
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Malmqvist
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Cerenius
- MAX IV Laboratory, Lund University, Lund, Sweden
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Zhang X, Yu Y, Zhou L, Na F, Li Y, Xu Y, Liu Y, Zou B, Peng F, Wang J, Zhong R, Gong Y, Huang M, Bai S, Xue J, Yan D, Lu Y. Hybrid Immuno-RT for Bulky Tumors: Standard Fractionation with Partial Tumor SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S166. [PMID: 37784416 DOI: 10.1016/j.ijrobp.2023.06.264] [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) Bulky tumors remain challenging to be treated. Stereotactic body radiation therapy (SBRT) is effective against radioresistant tumor cells and can induce immunogenic cell death (ICD) that leads to T-cell-mediated antitumor effects. Low-dose radiation (LDRT) can inflame the tumor microenvironment (TME) by recruiting T cells. We designed a novel radiotherapy technique (RT, ERT) whose dose distribution map resembles the "eclipse" by concurrently delivering LDRT to the whole tumor, meanwhile SBRT to only a part of the same tumor. This study examined the safety and efficacy of ERT to bulky lesions with PD-1 inhibitors in mice and patients. MATERIALS/METHODS In mice with CT26 colon or LLC1 lung bulky tumors (400 - 500 cm3), the whole tumor was irradiated by LDRT (2 Gy x 3), meanwhile the tumor center was irradiated by SBRT (10 Gy x 3); αPD-1 was given weekly. The dependence of therapeutic effects on CD8+ T cells was determined using depleting antibodies. Frequencies of CD8+ T cells and M1 macrophages (Mφ) were determined by flow cytometry. Multiplex Immunohistochemistry (mIHC) was applied to analyze the number and the location of CD8+ T cells and their subpopulations, as well as the phospho-eIF2α level (the ICD marker) of tumor cells in TME. Patients with advanced lung or liver bulky tumors who failed standard treatment or with oncologic emergencies were treated. Kaplan-Meier method was applied to estimate patients' progression-free survival (PFS) and overall survival (OS). RESULTS ERT/αPD-1 is superior to SBRT/αPD-1 or LDRT/αPD-1 in controlling bulky tumors in both mouse models in a CD8+ T-cell dependent manner. In the CT26 model, ERT/αPD-1 resulted in complete tumor regression in 3/11 mice and induced more CD8+ T cells and M1 Mφ in TME compared to other groups. mIHC analysis showed that ERT/αPD-1 induced higher bulk, stem-like (TCF1+ TIM3- PD-1+), and more differentiated (TCF1- TIM3+ PD-1+) CD8+ T cells infiltration into the tumor center and periphery compared to other groups. Compared to untreated or LDRT-treated tumor centers, tumor centers irradiated with ERT or SBRT showed elevated phospho-eIF2α accompanied by higher dendritic cell infiltration. In total, 39 advanced cancer patients were treated with ERT/αPD-1 or plus chemotherapy. Radiation-induced pneumonitis occurred in 1 of 26 patients receiving thoracic ERT. There were two cases of grade III toxicity associated with PD-1 inhibitors. No toxicity above grade III was observed. The objective response rate was 38.5%. The median PFS was 5.6 months and median OS was not reached at a median follow-up of 11.7 months. CONCLUSION ERT/αPD-1 showed superior efficacy in controlling bulky tumor in two mouse models. The hybrid immuno-RT (ERT) combing PD-1 inhibitors was safe and effective in patients with bulky tumors. Further clinical trials in combination with bioimaging to identify the optimal SBRT target region for the bulky tumor are warranted.
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Affiliation(s)
- R Luo
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Su
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - K Kang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Yao
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Xiu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Na
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Li
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Xu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Peng
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Wang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - R Zhong
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Gong
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Huang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - S Bai
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xue
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - D Yan
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Lu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Huang Z, Liu S, Wang Y, Yao Z, Feng L, Lin Y, Ye J, Zhou T, Wang Z. Comparison of prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbepenem-susceptible Enterobacter cloacae complex in clusters. J Hosp Infect 2023; 139:168-174. [PMID: 37348563 DOI: 10.1016/j.jhin.2023.06.017] [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: 03/01/2023] [Revised: 05/30/2023] [Accepted: 06/07/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVES This study aimed to explore differences in prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbapenem-susceptible Enterobacter cloacae complex (ECC) in different clusters. METHODS Ninety-one carbapenem-non-susceptible isolates and an equal number of carbapenem-susceptible isolates and their clinical information were collected from a university teaching hospital in China. The strains were divided into different clusters based on hsp60 analysis. The agar dilution method was used to determine the minimum inhibitory concentrations of common antibiotics. The crystal violet assay was used to measure biofilm-forming ability. The Galleria mellonella infection model and polymerase chain reaction of virulence genes were used to evaluate virulence. RESULTS The isolates were divided into 12 clusters based on hsp60 analysis. Cluster VIII accounted for a greater proportion of carbapenem-non-susceptible isolates than the other clusters. The same clusters exhibited different resistance rates in carbapenem-non-susceptible and carbapenem-susceptible isolates. Moreover, carbapenem-non-susceptible isolates carried fewer virulence genes than carbapenem-susceptible isolates, and carbapenem-non-susceptible isolates in cluster II in did not carry the detected virulence genes. Virulence of carbapenem-non-susceptible and carbapenem-susceptible isolates differed significantly in clusters I, III, VIII and IX, as evaluated using the G. mellonella infection model. Carbapenem-non-susceptible isolates in cluster VIII showed higher prevalence, resistance, biofilm-forming ability and pathogenicity compared with the other clusters. CONCLUSIONS The study findings indicate the need to identify subgroups of ECC, and provide better advice and guidance for the use of carbapenems.
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Affiliation(s)
- Z Huang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - S Liu
- Department of Clinical Laboratory, Children's Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Y Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - Z Yao
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - L Feng
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Y Lin
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - J Ye
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - T Zhou
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
| | - Z Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
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Hu L, Chee PL, Sugiarto S, Yu Y, Shi C, Yan R, Yao Z, Shi X, Zhi J, Kai D, Yu HD, Huang W. Hydrogel-Based Flexible Electronics. Adv Mater 2023; 35:e2205326. [PMID: 36037508 DOI: 10.1002/adma.202205326] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/09/2022] [Indexed: 06/15/2023]
Abstract
Flexible electronics is an emerging field of research involving multiple disciplines, which include but not limited to physics, chemistry, materials science, electronic engineering, and biology. However, the broad applications of flexible electronics are still restricted due to several limitations, including high Young's modulus, poor biocompatibility, and poor responsiveness. Innovative materials aiming for overcoming these drawbacks and boost its practical application is highly desirable. Hydrogel is a class of 3D crosslinked hydrated polymer networks, and its exceptional material properties render it as a promising candidate for the next generation of flexible electronics. Here, the latest methods of synthesizing advanced functional hydrogels and the state-of-art applications of hydrogel-based flexible electronics in various fields are reviewed. More importantly, the correlation between properties of the hydrogel and device performance is discussed here, to have better understanding of the development of flexible electronics by using environmentally responsive hydrogels. Last, perspectives on the current challenges and future directions in the development of hydrogel-based multifunctional flexible electronics are provided.
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Affiliation(s)
- Lixuan Hu
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Pei Lin Chee
- Institute of Materials Research and Engineering (IMRE), A∗STAR, 2 Fusionopolis Way, Innovis, No. 08-03, Singapore, 138634, Singapore
| | - Sigit Sugiarto
- Institute of Materials Research and Engineering (IMRE), A∗STAR, 2 Fusionopolis Way, Innovis, No. 08-03, Singapore, 138634, Singapore
| | - Yong Yu
- Institute of Materials Research and Engineering (IMRE), A∗STAR, 2 Fusionopolis Way, Innovis, No. 08-03, Singapore, 138634, Singapore
| | - Chuanqian Shi
- School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092, P. R. China
| | - Ren Yan
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Zhuoqi Yao
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Xuewen Shi
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Jiacai Zhi
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Dan Kai
- Institute of Materials Research and Engineering (IMRE), A∗STAR, 2 Fusionopolis Way, Innovis, No. 08-03, Singapore, 138634, Singapore
- Institute of Sustainability for Chemicals, Energy and Environment (ISCE2), A∗STAR, 2 Fusionopolis Way, Innovis, No. 08-03, Singapore, 138634, Singapore
| | - Hai-Dong Yu
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, P. R. China
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5
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Yu Y, Zhou L, Na F, Li Y, Zhang X, Zou B, Peng F, Wang J, Xue J, Gong Y, Lu Y. 197P Combining stereotactic body radiation and low-dose radiation (EclipseRT) with PD-1 inhibitor in mice models and patients with bulky tumor. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00450-1] [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: 04/03/2023]
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6
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Morvan A, Andersen TI, Mi X, Neill C, Petukhov A, Kechedzhi K, Abanin DA, Michailidis A, Acharya R, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores Burgos L, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Grajales Dau A, Gross JA, Habegger S, Hamilton MC, Harrigan MP, Harrington SD, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Malone F, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Nersisyan A, Newman M, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Olenewa R, Opremcak A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shvarts V, Skruzny J, Smith WC, Strain D, Sterling G, Su Y, Szalay M, Torres A, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Xing C, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Aleiner I, Ioffe LB, Roushan P. Formation of robust bound states of interacting microwave photons. Nature 2022; 612:240-245. [PMID: 36477133 PMCID: PMC9729104 DOI: 10.1038/s41586-022-05348-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 06/03/2022] [Accepted: 09/14/2022] [Indexed: 12/12/2022]
Abstract
Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
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Affiliation(s)
- A Morvan
- Google Research, Mountain View, CA, USA
| | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J Basso
- Google Research, Mountain View, CA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | - D Eppens
- Google Research, Mountain View, CA, USA
| | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Y Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - F Malone
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | - K C Miao
- Google Research, Mountain View, CA, USA
| | - M Mohseni
- Google Research, Mountain View, CA, USA
| | | | - E Mount
- Google Research, Mountain View, CA, USA
| | | | - O Naaman
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - R Olenewa
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | | | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - D Strain
- Google Research, Mountain View, CA, USA
| | | | - Y Su
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - I Aleiner
- Google Research, Mountain View, CA, USA.
| | - L B Ioffe
- Google Research, Mountain View, CA, USA.
| | - P Roushan
- Google Research, Mountain View, CA, USA.
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7
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Mi X, Sonner M, Niu MY, Lee KW, Foxen B, Acharya R, Aleiner I, Andersen TI, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Brill L, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Debroy DM, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores L, Forati E, Fowler AG, Giang W, Gidney C, Gilboa D, Giustina M, Dau AG, Gross JA, Habegger S, Harrigan MP, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Kafri D, Kechedzhi K, Khattar T, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Lee J, Laws L, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Morvan A, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Newman M, O’Brien TE, Opremcak A, Petukhov A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schuster C, Shearn MJ, Shvarts V, Strain D, Su Y, Szalay M, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Abanin DA, Roushan P. Noise-resilient edge modes on a chain of superconducting qubits. Science 2022; 378:785-790. [DOI: 10.1126/science.abq5769] [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: 11/18/2022]
Abstract
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model, which exhibits nonlocal Majorana edge modes (MEMs) with
ℤ
2
parity symmetry. We find that any multiqubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
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Affiliation(s)
- X. Mi
- Google Research, Mountain View, CA, USA
| | - M. Sonner
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - M. Y. Niu
- Google Research, Mountain View, CA, USA
| | - K. W. Lee
- Google Research, Mountain View, CA, USA
| | - B. Foxen
- Google Research, Mountain View, CA, USA
| | | | | | | | - F. Arute
- Google Research, Mountain View, CA, USA
| | - K. Arya
- Google Research, Mountain View, CA, USA
| | - A. Asfaw
- Google Research, Mountain View, CA, USA
| | | | - J. C. Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J. Basso
- Google Research, Mountain View, CA, USA
| | | | | | | | - L. Brill
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Chen
- Google Research, Mountain View, CA, USA
| | - B. Chiaro
- Google Research, Mountain View, CA, USA
| | | | - P. Conner
- Google Research, Mountain View, CA, USA
| | | | | | | | - S. Demura
- Google Research, Mountain View, CA, USA
| | | | - D. Eppens
- Google Research, Mountain View, CA, USA
| | | | - L. Faoro
- Google Research, Mountain View, CA, USA
| | - E. Farhi
- Google Research, Mountain View, CA, USA
| | - R. Fatemi
- Google Research, Mountain View, CA, USA
| | - L. Flores
- Google Research, Mountain View, CA, USA
| | - E. Forati
- Google Research, Mountain View, CA, USA
| | | | - W. Giang
- Google Research, Mountain View, CA, USA
| | - C. Gidney
- Google Research, Mountain View, CA, USA
| | - D. Gilboa
- Google Research, Mountain View, CA, USA
| | | | - A. G. Dau
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - S. Hong
- Google Research, Mountain View, CA, USA
| | - T. Huang
- Google Research, Mountain View, CA, USA
| | - A. Huff
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Jiang
- Google Research, Mountain View, CA, USA
| | - C. Jones
- Google Research, Mountain View, CA, USA
| | - D. Kafri
- Google Research, Mountain View, CA, USA
| | | | | | - S. Kim
- Google Research, Mountain View, CA, USA
| | - A. Y. Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | | | - A. N. Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P. Laptev
- Google Research, Mountain View, CA, USA
| | - K.-M. Lau
- Google Research, Mountain View, CA, USA
| | - J. Lee
- Google Research, Mountain View, CA, USA
| | - L. Laws
- Google Research, Mountain View, CA, USA
| | - W. Liu
- Google Research, Mountain View, CA, USA
| | | | - O. Martin
- Google Research, Mountain View, CA, USA
| | | | - M. McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | | | | | | | - A. Morvan
- Google Research, Mountain View, CA, USA
| | - E. Mount
- Google Research, Mountain View, CA, USA
| | | | - O. Naaman
- Google Research, Mountain View, CA, USA
| | - M. Neeley
- Google Research, Mountain View, CA, USA
| | - C. Neill
- Google Research, Mountain View, CA, USA
| | - M. Newman
- Google Research, Mountain View, CA, USA
| | | | | | | | - R. Potter
- Google Research, Mountain View, CA, USA
| | | | | | - N. Saei
- Google Research, Mountain View, CA, USA
| | - D. Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - D. Strain
- Google Research, Mountain View, CA, USA
| | - Y. Su
- Google Research, Mountain View, CA, USA
| | - M. Szalay
- Google Research, Mountain View, CA, USA
| | - G. Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T. White
- Google Research, Mountain View, CA, USA
| | - Z. Yao
- Google Research, Mountain View, CA, USA
| | - P. Yeh
- Google Research, Mountain View, CA, USA
| | - J. Yoo
- Google Research, Mountain View, CA, USA
| | | | - Y. Zhang
- Google Research, Mountain View, CA, USA
| | - N. Zhu
- Google Research, Mountain View, CA, USA
| | - H. Neven
- Google Research, Mountain View, CA, USA
| | - D. Bacon
- Google Research, Mountain View, CA, USA
| | - J. Hilton
- Google Research, Mountain View, CA, USA
| | - E. Lucero
- Google Research, Mountain View, CA, USA
| | | | - S. Boixo
- Google Research, Mountain View, CA, USA
| | | | - Y. Chen
- Google Research, Mountain View, CA, USA
| | - J. Kelly
- Google Research, Mountain View, CA, USA
| | | | - D. A. Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | | |
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8
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Chen F, Wang Y, Wang X, Yao Z, Li M. Complex genetic models in dystrophic epidermolysis bullosa families with marked intra-familial phenotypic heterogeneity. J Eur Acad Dermatol Venereol 2022; 36:e550-e553. [PMID: 35181940 DOI: 10.1111/jdv.18020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 11/30/2022]
Affiliation(s)
- F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Wang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Wang
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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9
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Satzinger KJ, Liu YJ, Smith A, Knapp C, Newman M, Jones C, Chen Z, Quintana C, Mi X, Dunsworth A, Gidney C, Aleiner I, Arute F, Arya K, Atalaya J, Babbush R, Bardin JC, Barends R, Basso J, Bengtsson A, Bilmes A, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chiaro B, Collins R, Courtney W, Demura S, Derk AR, Eppens D, Erickson C, Faoro L, Farhi E, Fowler AG, Foxen B, Giustina M, Greene A, Gross JA, Harrigan MP, Harrington SD, Hilton J, Hong S, Huang T, Huggins WJ, Ioffe LB, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Khattar T, Kim S, Klimov PV, Korotkov AN, Kostritsa F, Landhuis D, Laptev P, Locharla A, Lucero E, Martin O, McClean JR, McEwen M, Miao KC, Mohseni M, Montazeri S, Mruczkiewicz W, Mutus J, Naaman O, Neeley M, Neill C, Niu MY, O'Brien TE, Opremcak A, Pató B, Petukhov A, Rubin NC, Sank D, Shvarts V, Strain D, Szalay M, Villalonga B, White TC, Yao Z, Yeh P, Yoo J, Zalcman A, Neven H, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Kitaev A, Knap M, Pollmann F, Roushan P. Realizing topologically ordered states on a quantum processor. Science 2021; 374:1237-1241. [PMID: 34855491 DOI: 10.1126/science.abi8378] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
[Figure: see text].
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Affiliation(s)
| | - Y-J Liu
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - A Smith
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.,Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, UK
| | - C Knapp
- Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Newman
- Google Quantum AI, Mountain View, CA, USA
| | - C Jones
- Google Quantum AI, Mountain View, CA, USA
| | - Z Chen
- Google Quantum AI, Mountain View, CA, USA
| | - C Quintana
- Google Quantum AI, Mountain View, CA, USA
| | - X Mi
- Google Quantum AI, Mountain View, CA, USA
| | | | - C Gidney
- Google Quantum AI, Mountain View, CA, USA
| | - I Aleiner
- Google Quantum AI, Mountain View, CA, USA
| | - F Arute
- Google Quantum AI, Mountain View, CA, USA
| | - K Arya
- Google Quantum AI, Mountain View, CA, USA
| | - J Atalaya
- Google Quantum AI, Mountain View, CA, USA
| | - R Babbush
- Google Quantum AI, Mountain View, CA, USA
| | - J C Bardin
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - R Barends
- Google Quantum AI, Mountain View, CA, USA
| | - J Basso
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Bilmes
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Quantum AI, Mountain View, CA, USA
| | - B Burkett
- Google Quantum AI, Mountain View, CA, USA
| | - N Bushnell
- Google Quantum AI, Mountain View, CA, USA
| | - B Chiaro
- Google Quantum AI, Mountain View, CA, USA
| | - R Collins
- Google Quantum AI, Mountain View, CA, USA
| | - W Courtney
- Google Quantum AI, Mountain View, CA, USA
| | - S Demura
- Google Quantum AI, Mountain View, CA, USA
| | - A R Derk
- Google Quantum AI, Mountain View, CA, USA
| | - D Eppens
- Google Quantum AI, Mountain View, CA, USA
| | - C Erickson
- Google Quantum AI, Mountain View, CA, USA
| | - L Faoro
- Laboratoire de Physique Theorique et Hautes Energies, Sorbonne Université, 75005 Paris, France
| | - E Farhi
- Google Quantum AI, Mountain View, CA, USA
| | - A G Fowler
- Google Quantum AI, Mountain View, CA, USA
| | - B Foxen
- Google Quantum AI, Mountain View, CA, USA
| | - M Giustina
- Google Quantum AI, Mountain View, CA, USA
| | - A Greene
- Google Quantum AI, Mountain View, CA, USA.,Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J A Gross
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Hilton
- Google Quantum AI, Mountain View, CA, USA
| | - S Hong
- Google Quantum AI, Mountain View, CA, USA
| | - T Huang
- Google Quantum AI, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Quantum AI, Mountain View, CA, USA
| | - S V Isakov
- Google Quantum AI, Mountain View, CA, USA
| | - E Jeffrey
- Google Quantum AI, Mountain View, CA, USA
| | - Z Jiang
- Google Quantum AI, Mountain View, CA, USA
| | - D Kafri
- Google Quantum AI, Mountain View, CA, USA
| | | | - T Khattar
- Google Quantum AI, Mountain View, CA, USA
| | - S Kim
- Google Quantum AI, Mountain View, CA, USA
| | - P V Klimov
- Google Quantum AI, Mountain View, CA, USA
| | - A N Korotkov
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | - D Landhuis
- Google Quantum AI, Mountain View, CA, USA
| | - P Laptev
- Google Quantum AI, Mountain View, CA, USA
| | - A Locharla
- Google Quantum AI, Mountain View, CA, USA
| | - E Lucero
- Google Quantum AI, Mountain View, CA, USA
| | - O Martin
- Google Quantum AI, Mountain View, CA, USA
| | | | - M McEwen
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics, University of California, Santa Barbara, CA, USA
| | - K C Miao
- Google Quantum AI, Mountain View, CA, USA
| | - M Mohseni
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Mutus
- Google Quantum AI, Mountain View, CA, USA
| | - O Naaman
- Google Quantum AI, Mountain View, CA, USA
| | - M Neeley
- Google Quantum AI, Mountain View, CA, USA
| | - C Neill
- Google Quantum AI, Mountain View, CA, USA
| | - M Y Niu
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Opremcak
- Google Quantum AI, Mountain View, CA, USA
| | - B Pató
- Google Quantum AI, Mountain View, CA, USA
| | - A Petukhov
- Google Quantum AI, Mountain View, CA, USA
| | - N C Rubin
- Google Quantum AI, Mountain View, CA, USA
| | - D Sank
- Google Quantum AI, Mountain View, CA, USA
| | - V Shvarts
- Google Quantum AI, Mountain View, CA, USA
| | - D Strain
- Google Quantum AI, Mountain View, CA, USA
| | - M Szalay
- Google Quantum AI, Mountain View, CA, USA
| | | | - T C White
- Google Quantum AI, Mountain View, CA, USA
| | - Z Yao
- Google Quantum AI, Mountain View, CA, USA
| | - P Yeh
- Google Quantum AI, Mountain View, CA, USA
| | - J Yoo
- Google Quantum AI, Mountain View, CA, USA
| | - A Zalcman
- Google Quantum AI, Mountain View, CA, USA
| | - H Neven
- Google Quantum AI, Mountain View, CA, USA
| | - S Boixo
- Google Quantum AI, Mountain View, CA, USA
| | - A Megrant
- Google Quantum AI, Mountain View, CA, USA
| | - Y Chen
- Google Quantum AI, Mountain View, CA, USA
| | - J Kelly
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Kitaev
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Knap
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany.,Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany
| | - F Pollmann
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - P Roushan
- Google Quantum AI, Mountain View, CA, USA
| |
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10
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Chen X, Li J, Yang Y, Yao Z, Tu Z, Liao S, Zhu Q, Li P. Suprafascial plane endoscopy versus open carpal tunnel release for idiopathic carpal tunnel syndrome: Use of the Accordion Severity Grading System. Hand Surg Rehabil 2021; 41:113-118. [PMID: 34774842 DOI: 10.1016/j.hansur.2021.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/03/2021] [Accepted: 11/04/2021] [Indexed: 12/31/2022]
Abstract
This study aimed to assess the safety and effectiveness of modified endoscopic technique with a single portal from an external carpal tunnel approach for surgical operations in a suprafascial plane superficial to the transverse carpal ligament. Reversible nerve injury risk is threefold greater with a conventional endoscopic method than with open carpal tunnel release (OCTR), and this suprafascial plane endoscopic release (SPER) should circumvent the problem of hardware in the carpal tunnel encountered with the conventional endoscopic method and liable to cause iatrogenic damage to the median nerve. However, the surgical consequences of the new technique have not been studied. To fill this gap, a retrospective therapeutic study was conducted to compare negative outcomes versus open surgery. The Accordion Severity Grading System was used to grade complications from 0 to 3 according to necessity of treatment. Sequela and failure rates were also compared between the SPER and OCTR groups. Eighty-eight cases in 72 patients with idiopathic carpal tunnel syndrome (ICTS) met the inclusion criteria. SPER was performed in 28 hands in 27 patients, and OCTR in 60 hands in 49 patients. The results showed no significant difference in complication, sequela, or failure rates between groups (p > 0.05). Suprafascial plane endoscopic release, has certain advantages over the open method and was validated as a safe and effective method of treating ICTS.
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Affiliation(s)
- X Chen
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - J Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Y Yang
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Yao
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Tu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - S Liao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Q Zhu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
| | - P Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
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11
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Yao Z, Liang G, Lv ZL, Lan LC, Zhu FL, Tang Q, Huang L, Chen XQ, Yang MX, Shan QW. Taurine Reduces Liver Damage in Non-Alcoholic Fatty Liver Disease Model in Rats by Down-Regulating IL-9 and Tumor Growth Factor TGF-β. Bull Exp Biol Med 2021; 171:638-643. [PMID: 34617180 DOI: 10.1007/s10517-021-05285-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 12/29/2020] [Indexed: 02/08/2023]
Abstract
The study employed a rat model to examine the effects of taurine (Tau) on prevention and therapy of non-alcoholic fatty liver disease (NAFLD). In model rats maintained on a high-fat diet (HFD), the serum levels of ALT, AST, triglycerides, cholesterol, and LDL were higher than the corresponding levels in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, the serum levels of AST and triglycerides were lower than in HFD rats (p<0.05). In HFD rats, diffuse fatty degeneration and infiltration with inflammatory cells was observed in the liver; in the ileal mucosa, the villi were fractured or absent, the epithelium was exfoliated and infiltrated with inflammatory cells. The levels of TGF-β, IL-9, and their mRNA in the liver and ileal mucosa of HFD rats were significantly higher than in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, these levels were significantly lower than in HFD rats (p<0.05). Thus, TGF-β and IL-9 can be implicated in NAFLD genesis, while Tau can preventively or therapeutically diminish the damage to the liver and ileal mucosa in rats with this disease by down-regulating the expression of TGF-β and IL-9.
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Affiliation(s)
- Z Yao
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - G Liang
- Department of Pathophysiology, Basic Medicine College of Guangxi Medical University, Nanning, China
| | - Z L Lv
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L C Lan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - F L Zhu
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q Tang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Huang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - X Q Chen
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - M X Yang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q W Shan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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12
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Muntoni F, Signorovitch J, Sajeev G, Done N, Yao Z, Goemans N, McDonald C, Mercuri E, Niks E, Wong B, Servais L, Straub V, de Groot I, Tian C, Manzur A, Vandenborne K, Dieye I, Lane H, Ward S. DMD/BMD – OUTCOME MEASURES. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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13
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Huang L, Yao Z, Zhang J. Two cases of pityriasis rosea after the injection of coronavirus disease 2019 vaccine. J Eur Acad Dermatol Venereol 2021; 36:e9-e11. [PMID: 34492136 PMCID: PMC8657324 DOI: 10.1111/jdv.17648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 08/26/2021] [Indexed: 01/13/2023]
Affiliation(s)
- L Huang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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14
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Yin L, Yao Z, Wang Y, Huang YH, Mazuranic M, Yin A. 4MO Preclinical evaluation of novel CDK4/6 inhibitor GLR2007 in breast and lung cancer models. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.282] [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: 10/20/2022] Open
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15
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Yao Z, Bao B, Qian S, Li Z, Lu Q, Min S, Li M, Wang H. [Correlation of serum ADAMTS13 and TSP1 levels with myocardial injury and prognosis in patients with acute coronary syndrome]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:710-715. [PMID: 34134958 DOI: 10.12122/j.issn.1673-4254.2021.05.11] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate serum levels of von Willebrand factor lytic protease (ADAMTS13) and thrombospondin-1 (TSP1) in patients with different types of acute coronary syndrome (ACS) and their correlation with the patients' clinical prognosis. OBJECTIVE According to their disease history, results of angiography and clinical biochemical tests, a total of 405 patients undergoing coronary angiography, were divided into unstable angina (UAP) group (n=215), acute myocardial infarction (AMI) group (n=96), and angiographically normal group (n=94). Serum ADAMTS13 and TSP1 levels were detected in all the patients, who were followed up for 15 months to evaluate the occurrence of long-term major cardiac adverse events (MACE). OBJECTIVE Serum ADAMTS13 level was significantly lower and TSP1 level was significantly higher in AMI group and UAP group than in the normal group (P < 0.001). Serum ADAMTS13 and TSP1 levels were negative correlated in ACS patients (R=-0.577, P < 0.001). The patients experiencing MACE had significantly different serum TSP1 level from those without MACE (P < 0.05). Cox proportion regression model analysis showed that TSP1 was a risk factor affecting the occurrence of MACE in ACS patients; Kaplan-Meier survival analysis showed that the patients with high levels of TSP1 had a higher incidence of longterm MACE than those with low TSP1 levels. OBJECTIVE A lowered serum ADAMTS13 level and an elevated TSP1 level can support the diagnosis of ACS. An elevated TSP1 level may serve as an indicator for predicting the risk of MACE in patients with ACS.
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Affiliation(s)
- Z Yao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - B Bao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Qian
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Z Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Q Lu
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Min
- Anhui Clinical and Preclinical Key Laboratory of Respiratory Disease, Bengbu 233000, China
| | - M Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - H Wang
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
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16
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Shengming J, Yu W, Junlong W, Chengyuan G, Wenqi G, Bing L, Yao Z, Dingwei Y. The germline mutation landscape of cancer susceptibility genes in Chinese patients with upper tract urothelial carcinoma. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01149-0] [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: 11/26/2022]
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17
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Tripathi P, Kim M, Sokkam H, Rock J, Howell M, Jansen B, Yao Z. 073 A non-invasive genomic test for early assessment of UV damage in human skin. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.090] [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: 11/15/2022]
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18
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Pan C, Humbatova A, Zheng L, Cesarato N, Grimm C, Chen F, Blaumeiser B, Catalán-Lambán A, Patiño-García A, Fischer U, Cheng R, Li Y, Yu X, Yao Z, Li M, Betz RC. Additional causal SNRPE mutations in hereditary hypotrichosis simplex. Br J Dermatol 2021; 185:439-441. [PMID: 33792916 DOI: 10.1111/bjd.20089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/24/2021] [Accepted: 03/26/2021] [Indexed: 11/30/2022]
Affiliation(s)
- C Pan
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - A Humbatova
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - L Zheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - N Cesarato
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - C Grimm
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - B Blaumeiser
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - A Catalán-Lambán
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - A Patiño-García
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - U Fischer
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - R Cheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Y Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Yu
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Center for Rare Diseases Diagnosis, Shanghai, China
| | - R C Betz
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
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19
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Pan Z, Huang M, Huang J, Lin Z, Yao Z. P10.03 Health Insurance Coverage and Racial Disparities in Early-Stage Detection and Treatment of Lung Cancer: A Causal Mediation Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.492] [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: 11/16/2022]
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20
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Jin T, Ge M, Huang R, Yang Y, Liu T, Zhan Q, Yao Z, Zhang H. Utility of Contrast-Enhanced T2 FLAIR for Imaging Brain Metastases Using a Half-dose High-Relaxivity Contrast Agent. AJNR Am J Neuroradiol 2021; 42:457-463. [PMID: 33361381 DOI: 10.3174/ajnr.a6931] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 08/06/2020] [Accepted: 10/04/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Efficient detection of metastases is important for patient' treatment. This prospective study was to explore the clinical value of contrast-enhanced T2 FLAIR in imaging brain metastases using half-dose gadobenate dimeglumine. MATERIALS AND METHODS In vitro signal intensity of various gadolinium concentrations was explored by spin-echo T1-weighted imaging and T2 FLAIR. Then, 46 patients with lung cancer underwent nonenhanced T2 FLAIR before administration of half-dose gadobenate dimeglumine and 3 consecutive contrast-enhanced T2 FLAIR sequences followed by 1 spin-echo T1WI after administration of half-dose gadobenate dimeglumine. After an additional dose of 0.05 mmol/kg, 3D brain volume imaging was performed. All brain metastases were classified as follows: solid-enhancing, ≥ 5 mm (group A); ring-enhancing, ≥ 5 mm (group B); and lesion diameter of <5 mm (group C). The contrast ratio of the lesions on 3 consecutive phases of contrast-enhanced T2 FLAIR was measured, and the percentage increase of contrast-enhanced T2 FLAIR among the 3 groups was compared. RESULTS In vitro, the maximal signal intensity was achieved in T2 FLAIR at one-eighth to one-half of the contrast concentration needed for maximal signal intensity in T1WI. In vivo, the mean contrast ratio values of metastases on contrast-enhanced T2 FLAIR for the 3 consecutive phases ranged from 63.64% to 83.05%. The percentage increase (PI) values of contrast-enhanced T2 FLAIR were as follows: PIA < PIB (P = .001) and PIA < PIC (P < .001). The degree of enhancement of brain metastases on contrast-enhanced T2 FLAIR was lower than on 3D brain volume imaging (P < .001) in group A, and higher than on 3D brain volume imaging (P < .001) in group C. CONCLUSIONS Small or ring-enhancing metastases can be better visualized on delayed contrast-enhanced T2 FLAIR using a half-dose high-relaxivity contrast agent.
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Affiliation(s)
- T Jin
- From the Department of Radiology (T.J.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M Ge
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - R Huang
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Y Yang
- Department of Oncology (Y.Y.), Huashan North Hospital, Fudan University, Shanghai, China
| | - T Liu
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Q Zhan
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Z Yao
- Radiology (Z.Y.), Huashan Hospital, Fudan University, Shanghai, China
| | - H Zhang
- Department of Radiology (H.Z.), The Affiliated Hospital of Qingdao University, Qingdao, China
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21
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Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café au lait macules overlying segmental macular hyperpigmentation in a paediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020; 184:742-743. [PMID: 33169837 DOI: 10.1111/bjd.19659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/24/2020] [Accepted: 10/25/2020] [Indexed: 12/15/2022]
Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - S Hua
- Department of Dermatology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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22
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Pan Z, Huang M, Huang J, Yao Z. The association between napping and the risk of cardiovascular disease and all-cause mortality: a systematic review and dose-response meta-analysis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2818] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Napping is a habit prevalent worldwide and occurs from an early age. Some sleep specialists have suggested it as a potential public health tool due to the prevalence of sleep disorder. However, the association between napping and the risk of cardiovascular disease (CVD) and all-cause mortality remains unclear.
Purpose
To assess the association between napping and the risk of CVD and all-cause mortality.
Methods
We conducted a systematic search of Medline, Embase and Cochrane databases from inception through December 2019 for prospective cohort studies investigating the association between napping and the risk of CVD and/or all-cause mortality. Overall estimates were calculated using random effect models with inverse variance weighting. Dose-response meta-analysis was performed using restricted cubic spline models. The results were reported as hazard ratio (HR) and 95% confidence interval (CI).
Results
A total of 313651 participants (57.8% female, 38.9% took naps) from 20 cohort studies were included in the analysis. Overall, pooled analysis detected no association between daytime nap and CVD (HR 1.13, 95% CI 0.99–1.28). However, in subgroup analysis including only participants who were female (HR 1.31, 95% CI 1.09–1.58), older (age>65 years) (HR 1.36, 95% CI 1.07–1.72), or took a longer nap (nap time>60 minutes) (HR 1.34, 95% CI 1.05–1.63), napping was significantly associated with a higher risk of CVD comparing to not napping. All-cause mortality was associated with napping overall (HR 1.19, 95% CI 1.12–1.26), and effect sizes were even more pronounced in females (HR 1.22, 95% CI 1.13–1.31), older participants (HR 1.27, 95% CI 1.11–1.45) and those who took a long nap (HR 1.30, 95% CI 1.12–1.47). Furthermore, after stratifying participants by night sleep time (<6 and >6h/day), no significant association was detected except those who slept >6h/day at night and took a long nap (HR 1.13, 95% CI 1.03–1.24). Dose-response analysis showed a J-curve relation between nap time and CVD (Figure 1). The HR decreased from 0 to 25 min/day, followed by a sharp increase in the risk at longer times. A positive linear relationship between nap time and all-cause mortality was also observed.
Conclusion
Long napping over 60 minutes per day is associated with increased risks of CVD and all-cause mortality. Night sleep duration may play a role in the relation between napping and all-cause mortality. Further, large-scale prospective cohort studies need to confirm our conclusion and investigate the underlying mechanisms driving these associations.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- Z Pan
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - M Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - J Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - Z Yao
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
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23
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Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café-au-lait macules overlying segmental macular hyperpigmentation in a pediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020. [PMID: 33113159 DOI: 10.1111/bjd.19633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The presentation of multiple café-au-lait macules (CALMs) in children is a common reason for referral to a dermatologist. Segmental CALMs, a subtype of CALMs, is usually limited to a specific part of the body. Mosaic neurofibromatosis type 1 (NF1; OMIM 162200) is a common congenital disorder associated with segmental CALMs with an incidence of about 1 case/40000 patients, which is lower than the prevalence of patients with germline NF1 mutations1,2 .
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Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - S Hua
- Department of dermatology, Shanghai Children's hospital, Shanghai JiaoTong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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24
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Foxen B, Neill C, Dunsworth A, Roushan P, Chiaro B, Megrant A, Kelly J, Chen Z, Satzinger K, Barends R, Arute F, Arya K, Babbush R, Bacon D, Bardin JC, Boixo S, Buell D, Burkett B, Chen Y, Collins R, Farhi E, Fowler A, Gidney C, Giustina M, Graff R, Harrigan M, Huang T, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Klimov P, Korotkov A, Kostritsa F, Landhuis D, Lucero E, McClean J, McEwen M, Mi X, Mohseni M, Mutus JY, Naaman O, Neeley M, Niu M, Petukhov A, Quintana C, Rubin N, Sank D, Smelyanskiy V, Vainsencher A, White TC, Yao Z, Yeh P, Zalcman A, Neven H, Martinis JM. Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms. Phys Rev Lett 2020; 125:120504. [PMID: 33016760 DOI: 10.1103/physrevlett.125.120504] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/27/2020] [Accepted: 07/22/2020] [Indexed: 06/11/2023]
Abstract
Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy hardware. Here, taking advantage of the adjustable coupling of gmon qubits, we demonstrate a continuous two-qubit gate set that can provide a threefold reduction in circuit depth as compared to a standard decomposition. We implement two gate families: an imaginary swap-like (iSWAP-like) gate to attain an arbitrary swap angle, θ, and a controlled-phase gate that generates an arbitrary conditional phase, ϕ. Using one of each of these gates, we can perform an arbitrary two-qubit gate within the excitation-preserving subspace allowing for a complete implementation of the so-called Fermionic simulation (fSim) gate set. We benchmark the fidelity of the iSWAP-like and controlled-phase gate families as well as 525 other fSim gates spread evenly across the entire fSim(θ,ϕ) parameter space, achieving a purity-limited average two-qubit Pauli error of 3.8×10^{-3} per fSim gate.
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Affiliation(s)
- B Foxen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
| | - C Neill
- Google Research, Santa Barbara, California 93117, USA
| | - A Dunsworth
- Google Research, Santa Barbara, California 93117, USA
| | - P Roushan
- Google Research, Santa Barbara, California 93117, USA
| | - B Chiaro
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - A Megrant
- Google Research, Santa Barbara, California 93117, USA
| | - J Kelly
- Google Research, Santa Barbara, California 93117, USA
| | - Zijun Chen
- Google Research, Santa Barbara, California 93117, USA
| | - K Satzinger
- Google Research, Santa Barbara, California 93117, USA
| | - R Barends
- Google Research, Santa Barbara, California 93117, USA
| | - F Arute
- Google Research, Santa Barbara, California 93117, USA
| | - K Arya
- Google Research, Santa Barbara, California 93117, USA
| | - R Babbush
- Google Research, Santa Barbara, California 93117, USA
| | - D Bacon
- Google Research, Santa Barbara, California 93117, USA
| | - J C Bardin
- Google Research, Santa Barbara, California 93117, USA
- Department of Electrical and Computer Engineering, University of Massachusetts-Amherst, Amherst, Massachusetts 01003, USA
| | - S Boixo
- Google Research, Santa Barbara, California 93117, USA
| | - D Buell
- Google Research, Santa Barbara, California 93117, USA
| | - B Burkett
- Google Research, Santa Barbara, California 93117, USA
| | - Yu Chen
- Google Research, Santa Barbara, California 93117, USA
| | - R Collins
- Google Research, Santa Barbara, California 93117, USA
| | - E Farhi
- Google Research, Santa Barbara, California 93117, USA
| | - A Fowler
- Google Research, Santa Barbara, California 93117, USA
| | - C Gidney
- Google Research, Santa Barbara, California 93117, USA
| | - M Giustina
- Google Research, Santa Barbara, California 93117, USA
| | - R Graff
- Google Research, Santa Barbara, California 93117, USA
| | - M Harrigan
- Google Research, Santa Barbara, California 93117, USA
| | - T Huang
- Google Research, Santa Barbara, California 93117, USA
| | - S V Isakov
- Google Research, Santa Barbara, California 93117, USA
| | - E Jeffrey
- Google Research, Santa Barbara, California 93117, USA
| | - Z Jiang
- Google Research, Santa Barbara, California 93117, USA
| | - D Kafri
- Google Research, Santa Barbara, California 93117, USA
| | - K Kechedzhi
- Google Research, Santa Barbara, California 93117, USA
| | - P Klimov
- Google Research, Santa Barbara, California 93117, USA
| | - A Korotkov
- Google Research, Santa Barbara, California 93117, USA
| | - F Kostritsa
- Google Research, Santa Barbara, California 93117, USA
| | - D Landhuis
- Google Research, Santa Barbara, California 93117, USA
| | - E Lucero
- Google Research, Santa Barbara, California 93117, USA
| | - J McClean
- Google Research, Santa Barbara, California 93117, USA
| | - M McEwen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - X Mi
- Google Research, Santa Barbara, California 93117, USA
| | - M Mohseni
- Google Research, Santa Barbara, California 93117, USA
| | - J Y Mutus
- Google Research, Santa Barbara, California 93117, USA
| | - O Naaman
- Google Research, Santa Barbara, California 93117, USA
| | - M Neeley
- Google Research, Santa Barbara, California 93117, USA
| | - M Niu
- Google Research, Santa Barbara, California 93117, USA
| | - A Petukhov
- Google Research, Santa Barbara, California 93117, USA
| | - C Quintana
- Google Research, Santa Barbara, California 93117, USA
| | - N Rubin
- Google Research, Santa Barbara, California 93117, USA
| | - D Sank
- Google Research, Santa Barbara, California 93117, USA
| | - V Smelyanskiy
- Google Research, Santa Barbara, California 93117, USA
| | - A Vainsencher
- Google Research, Santa Barbara, California 93117, USA
| | - T C White
- Google Research, Santa Barbara, California 93117, USA
| | - Z Yao
- Google Research, Santa Barbara, California 93117, USA
| | - P Yeh
- Google Research, Santa Barbara, California 93117, USA
| | - A Zalcman
- Google Research, Santa Barbara, California 93117, USA
| | - H Neven
- Google Research, Santa Barbara, California 93117, USA
| | - J M Martinis
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
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25
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Ma S, Shao S, Yang C, Yao Z, Gao L, Chen W. A preliminary study: proteomic analysis of exosomes derived from thyroid-stimulating hormone-stimulated HepG2 cells. J Endocrinol Invest 2020; 43:1229-1238. [PMID: 32166700 DOI: 10.1007/s40618-020-01210-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/02/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Thyroid-stimulating hormone (TSH) plays an important role in the regulation of lipid metabolism. However, little is known about the role that exosomes play in the process of TSH-induced lipotoxicity in non-alcoholic fatty liver disease (NAFLD). As a preliminary step, the present study set out to investigate alterations in protein expression in exosomes derived from TSH-stimulated HepG2 cells. METHODS HepG2 cells were treated with TSH, exosomes were collected, and proteins were identified by mass spectrometry (MS). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis were performed to analyze the identified proteins. RESULTS TSH treatment significantly increased exosomal production and changed the exosomal proteomic profile in HepG2 cells. Among the 1728 proteins, 140 identified proteins were upregulated and seven proteins were downregulated. GO analysis and KEGG analysis revealed that these proteins were involved in multiple processes including metabolism, apoptosis, and inflammation. CONCLUSION Our preliminary study demonstrated that exosomes derived from TSH-stimulated hepatocytes were increased and showed a specific altered spectrum of proteins, many of which were involved in metabolism, signal transduction, apoptosis, and inflammation. This study offers new insights into the pathogenesis of TSH-induced lipotoxicity in NAFLD.
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Affiliation(s)
- S Ma
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - S Shao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - C Yang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - Z Yao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - L Gao
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
| | - W Chen
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
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26
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Chen J, Li C, Li H, Yu H, Zhang X, Yan M, Guo Y, Yao Z. Identification of a T H 2-high psoriasis cluster based on skin biomarker analysis in a Chinese psoriasis population. J Eur Acad Dermatol Venereol 2020; 35:150-158. [PMID: 32367566 DOI: 10.1111/jdv.16563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 03/25/2020] [Accepted: 04/03/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Psoriasis is an immune-mediated, chronic inflammatory disease with diverse phenotypes. However, its biological diversity has not been well-characterized in Chinese psoriasis population. OBJECTIVES To characterize psoriasis biological heterogenicity using gene expression profiles of lesional skin biopsy specimens in a Chinese psoriasis population. METHODS Lesional tissues and blood samples from Chinese psoriasis patients (n = 40), atopic dermatitis (AD) patients (n = 25) and age-matched healthy controls (n = 19) were investigated by using real-time PCR array, histological evaluation and flow cytometry. Unsupervised hierarchical clustering was performed using gene expression profiles of patients with psoriasis. RESULTS Two distinct psoriasis clusters were identified. Both clusters indicated high TH 17 activation. One cluster (n = 6 of 40 consecutive psoriasis patients) indicated a strong TH 2 component in skin lesions, with early onset and low peripheral blood eosinophil level. Significantly higher IL-4, IL-13, IL-25, IL-31 and TSLP gene induction typified this cluster of psoriasis patients, even compared with AD patients. Both psoriasis clusters were characterized by neutrophilic microabscess formation. Histologically, the TH 2 high psoriasis cluster indicated a low percentage of perivascular eosinophils. CONCLUSIONS Two distinct psoriasis clusters were identified. One presented early onset and a low eosinophil level, indicating TH 17 polarization and a strong TH 2 component. These results laid the foundation for further demonstrating the pathogenesis of psoriasis in Chinese population.
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Affiliation(s)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X Zhang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Yan
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Guo
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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27
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Zhang C, Cui M, Xing J, Yang H, Yao Z, Zhang N, Su X. Clinicopathologic features and prognosis of synchronous and metachronous multiple primary colorectal cancer. Clin Transl Oncol 2020; 23:335-343. [PMID: 32592156 DOI: 10.1007/s12094-020-02426-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 04/23/2020] [Accepted: 06/10/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE Multiple primary colorectal cancers (MPCCs) are different from solitary colorectal cancers in many aspects, which are not well studied. The aim of this study was to clarify the clinicopathological features and prognosis of MPCCs. METHODS The data of 64 patients with MPCCs out of 2300 patients with colorectal cancers (CRCs) from January 2009 to December 2017 were retrospectively analyzed. Stratified analysis was conducted based on subtypes and microsatellite status. RESULTS The overall incidence of MPCC was 2.8% and the median follow-up duration was 51.5 (range 1-120) months. Metachronous CRCs (MCRCs) are more likely to appear in the right colon (p < 0.05). However, no significant differences regarding age, sex, BMI, tumor size, smoking/drinking history, TNM stage, family history of cancer, and 5-year survival rate were observed between synchronous CRC (SCRC) and MCRC. Advanced TNM stage (III) and the presence of polyps were found to be independent poor prognostic factors for MPCCs. The prevalence of mismatch repair deficiency (dMMR) in MPCCs was 28.1%. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps (p < 0.05). Of four mismatch repair proteins, MLH-1, MSH-2, MSH-6, and PMS-2 were negative in nine, nine, five, and nine patients, respectively. The 5-year survival rate did not differ significantly between MMR-proficient (pMMR) and dMMR groups (p = 0.752). CONCLUSIONS Synchronous CRC (SCRC) and MCRC might represent similar disease entities with different courses. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps and it is an essential indicator for screening Lynch syndrome.
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Affiliation(s)
- C Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - M Cui
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - J Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - H Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - Z Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - N Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - X Su
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China.
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Long H, Zhao H, Chen A, Yao Z, Cheng B, Lu Q. Protecting medical staff from skin injury/disease caused by personal protective equipment during epidemic period of COVID-19: experience from China. J Eur Acad Dermatol Venereol 2020; 34:919-921. [PMID: 32441424 PMCID: PMC7280671 DOI: 10.1111/jdv.16388] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 03/19/2020] [Indexed: 12/01/2022]
Abstract
Linked articles: COVID‐19 SPECIAL FORUM. J Eur Acad Dermatol Venereol 2020; 34: e210–e216.
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Affiliation(s)
- H Long
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - H Zhao
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - A Chen
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - B Cheng
- Department of Dermatology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Q Lu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China.,Chinese Society of Dermatology (Dermatology Branch of Chinese Medical Association), Beijing, China
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29
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Utsunomiya T, Zhang N, Lin T, Kohno Y, Ueno M, Maruyama M, Yao Z, Goodman S. Injection of mscs mitigates particle associated chronic inflammation of bone. Cytotherapy 2020. [DOI: 10.1016/j.jcyt.2020.03.373] [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: 10/24/2022]
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30
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Yao Z, Wang Z, Fang B, Chen J, Zhang X, Luo Z, Huang L, Zou H, Yang Y. Involvement of nitrogen in storage root growth and related gene expression in sweet potato (Ipomoea batatas). Plant Biol (Stuttg) 2020; 22:376-385. [PMID: 31943638 DOI: 10.1111/plb.13088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
Nitrogen (N) could affect storage root growth and development of sweet potato. To manage external N concentration fluctuations, plants have developed a wide range of strategies, such as growth changes and gene expression. Five sweet potato cultivars were used to analyse the functions of N in regulating storage root growth. Growth responses and physiological indicators were measured to determine the physiological changes regulated by different N concentrations. Expression profiles of related genes were analysed via microarray hybridization data and qRT-PCR analysis to reveal the molecular mechanisms of storage root growth regulated by different N concentrations. The growth responses and physiological indicators of the five cultivars were changed by N concentration. The root fresh weight of two of the sweet potato cultivars, SS19 and GS87, was higher under low N concentrations compared with the other cultivars. SS19 and GS87 were found to be having greater tolerance to low N concentration. The expression of N metabolism and storage root growth related genes was regulated by N concentration in sweet potato. These results reveal that N significantly regulated storage root growth. SS19 and GS87 were more tolerant to low N concentration and produced greater storage root yield (at 30 days). Furthermore, several N response genes were involved in both N metabolism and storage root growth.
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Affiliation(s)
- Z Yao
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Wang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - B Fang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - J Chen
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - X Zhang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Luo
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - L Huang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - H Zou
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Y Yang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
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31
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Affiliation(s)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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32
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Chen J, Yang J, Huang X, Ni L, Fan Q, Liu T, Yao Z, Chen Y. Reduced segregation and integration of structural brain network associated with sympathetic and dorsal penile nerve activity in anejaculation patients: a graph‐based connectome study. Andrology 2019; 8:392-399. [PMID: 31610095 DOI: 10.1111/andr.12715] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/11/2019] [Accepted: 10/08/2019] [Indexed: 12/14/2022]
Affiliation(s)
- J. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - J. Yang
- Department of Urology Jiangsu Provincial People's Hospital First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - X. Huang
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - L. Ni
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Q. Fan
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - T. Liu
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Z. Yao
- Department of Psychiatry Nanjing Brain Hospital Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Y. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
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33
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Cao X, Gu Y, Fu J, Vu TQC, Zhang Q, Liu L, Meng G, Yao Z, Wu H, Bao X, Zhang S, Wang X, Sun S, Zhou M, Jia Q, Song K, Wu Y, Niu K. Excessive daytime sleepiness with snoring or witnessed apnea is associated with handgrip strength: a population-based study. QJM 2019; 112:847-853. [PMID: 31297519 DOI: 10.1093/qjmed/hcz178] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 07/01/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Sarcopenia is emerging as an important public health problem, and evidences have determined that poor sleep is associated with muscle strength, but the potential effects of excessive daytime sleepiness (EDS), snoring and witnessed apnea on handgrip strength have not been evaluated. AIM We aimed to examine the association between EDS, snoring, witnessed apnea and muscle strength in an adult population. DESIGN Cross-sectional study. METHODS This cross-sectional study comprised 19 434 adults. Handgrip strength was measured using a handheld digital dynamometer. EDS was assessed by Epworth Sleepiness Scale, snoring and witnessed apnea during sleep were reported through simple yes/no questions. Analysis of covariance was carried out to determine the association between EDS with snoring or witnessed apnea and muscle strength. RESULTS The means (95% confidence interval) for average handgrip strength/body weight (kg/kg) across symptoms categories were 0.396 (0.333-0.472), 0.393 (0.330-0.467), 0.396 (0.333-0.471) and 0.386 (0.325-0.460) (P < 0.0001), respectively. Similar results were observed with maximal handgrip strength/body weight (kg/kg). CONCLUSIONS Self-reported EDS accompanied with snoring or apnea is associated with lowest handgrip strength, independently of confounding factors. Whether improvement of EDS, snoring and apnea, can ameliorate age-associated decline in muscle strength warrants further studies.
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Affiliation(s)
- X Cao
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Y Gu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - J Fu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - T Q C Vu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Q Zhang
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - L Liu
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - G Meng
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Z Yao
- Tianjin Institute of Health and Environmental Medicine, 1 Dali Road, Heping District, Tianjin 300050, China
| | - H Wu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - X Bao
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - S Zhang
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - X Wang
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - S Sun
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - M Zhou
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Q Jia
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - K Song
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
| | - Y Wu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - K Niu
- From the Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Health Management Centre, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
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Cheng R, Zhang H, Zong W, Tang J, Han X, Zhang L, Zhang X, Gu H, Shu Y, Peng G, Huang L, Liu Q, Gao X, Guo Y, Yao Z. Development and validation of new diagnostic criteria for atopic dermatitis in children of China. J Eur Acad Dermatol Venereol 2019; 34:542-548. [PMID: 31568595 DOI: 10.1111/jdv.15979] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 09/05/2019] [Indexed: 11/30/2022]
Affiliation(s)
- R. Cheng
- Department of Dermatology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
- Institute of Dermatology Shanghai Jiao Tong University School of Medicine Shanghai China
| | - H. Zhang
- Department of Dermatology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
- Institute of Dermatology Shanghai Jiao Tong University School of Medicine Shanghai China
| | - W. Zong
- Institute of Dermatology Chinese Academy of Medical Sciences and Peking Union Medical College Nanjing Jiangsu China
| | - J. Tang
- Department of Dermatology Hunan Children's Hospital Changsha Hunan China
| | - X. Han
- Department of Dermatology Shengjing Hospital of China Medical University Shenyang Liaoning China
| | - L. Zhang
- Department of Dermatology China Medical University First Hospital Shenyang Liaoning China
| | - X. Zhang
- Department of Dermatology Children's Hospital of Shanxi Taiyuan Shanxi China
| | - H. Gu
- Institute of Dermatology Chinese Academy of Medical Sciences and Peking Union Medical College Nanjing Jiangsu China
| | - Y. Shu
- Department of Dermatology Hunan Children's Hospital Changsha Hunan China
| | - G. Peng
- Department of Dermatology Shengjing Hospital of China Medical University Shenyang Liaoning China
| | - L. Huang
- Clinical Research Center Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
- Department of Pediatrics Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
| | - Q. Liu
- Department of Dermatology Children's Hospital of Shanxi Taiyuan Shanxi China
| | - X. Gao
- Department of Dermatology China Medical University First Hospital Shenyang Liaoning China
| | - Y. Guo
- Department of Dermatology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
- Institute of Dermatology Shanghai Jiao Tong University School of Medicine Shanghai China
| | - Z. Yao
- Department of Dermatology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China
- Institute of Dermatology Shanghai Jiao Tong University School of Medicine Shanghai China
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35
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Chen F, Wang J, Yao Z, Li M. A novel MBTPS2 start codon mutation causes a mild ichthyosis follicularis with atrichia and photophobia phenotype. Clin Exp Dermatol 2019; 45:505-507. [PMID: 31646662 DOI: 10.1111/ced.14114] [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: 01/09/2019] [Revised: 08/14/2019] [Accepted: 09/11/2019] [Indexed: 11/29/2022]
Affiliation(s)
- F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Wang
- Department of Dermatology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Yu X, Chen L, Yang Z, Gu Y, Zheng W, Wu Z, Li M, Yao Z. An excellent response to topical therapy of four congenital hemidysplasia with ichthyosiform erythroderma and limb defects syndrome patients with an increased concentration of simvastatin ointment. J Eur Acad Dermatol Venereol 2019; 34:e8-e11. [PMID: 31374135 DOI: 10.1111/jdv.15838] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- X. Yu
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - L. Chen
- Department of Dermatology, Huashan Hospital Fudan University Shanghai China
| | - Z. Yang
- Department of Dermatology, Beijing Children’s Hospital Capital Medical University Beijing China
| | - Y. Gu
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - W. Zheng
- Key Laboratory of the Public Health Safety, Ministry of Education, Department of Environmental Health, School of Public Health Fudan University Shanghai China
| | - Z. Wu
- Department of Dermatology, Shanghai First People’s Hospital Shanghai Jiaotong University of Medicine Shanghai China
| | - M. Li
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - Z. Yao
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine Shanghai China
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37
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Xu B, Wang J, Liu X, Fang J, Yao Z, Wang J. A phase I study of XZP-3287, a novel oral CDK4/6 Inhibitor, administered on a continuous dosing schedule, in patients with advanced solid tumours. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz242.039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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38
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Marden J, Freimark J, Yao Z, Signorovitch J, Tian C, Wong B, Ward S. EP.77Real-world associations between motor function and lean body mass in the arms and legs in patients with Duchenne muscular dystrophy. Neuromuscul Disord 2019. [DOI: 10.1016/j.nmd.2019.06.483] [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: 11/15/2022]
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39
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Wong B, Signorovitch J, Staunton H, Ong R, Rabbia M, Sajeev G, Yao Z, Dieye I, Ward S, cTAP. P.196Estimating clinically meaningful change thresholds in the NORTH STAR ambolatory assessment (NSAA) and four-stair climb (4SC) in Duchenne muscular dystrophy (DMD). Neuromuscul Disord 2019. [DOI: 10.1016/j.nmd.2019.06.251] [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: 10/25/2022]
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40
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Chen J, Huang X, Lu C, Liu T, Dai Y, Yao Z, Chen Y. Graph analysis of
DTI
‐based connectome: decreased local efficiency of subcortical regions in
PE
patients with high sympathetic activity. Andrology 2019; 8:400-406. [PMID: 31532583 DOI: 10.1111/andr.12701] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 07/31/2019] [Accepted: 08/06/2019] [Indexed: 12/18/2022]
Affiliation(s)
- J. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - X. Huang
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - C. Lu
- Department of Radiology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - T. Liu
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Y. Dai
- Department of Andrology Nanjing Drum Tower Hospital Affiliated Hospital of Nanjing University Medical School Nanjing China
| | - Z. Yao
- Department of Psychiatry Nanjing Brain Hospital Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Y. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
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41
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Wang J, Li Y, Xing L, Zhao M, Zhang S, Li Z, Yao Z, Li M. Three novel mutations in GPNMB in two pedigrees with amyloidosis cutis dyschromica. Br J Dermatol 2019; 181:1327-1329. [PMID: 31260093 DOI: 10.1111/bjd.18260] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- J Wang
- Department of Dermatology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, 450003, China
| | - Y Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665, Kongjiang Road, Shanghai, 200092, China
| | - L Xing
- Department of Nursing, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, 450003, China
| | - M Zhao
- Instrumental Analysis Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665, Kongjiang Road, Shanghai, 200092, China
| | - S Zhang
- Department of Dermatology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, 450003, China
| | - Z Li
- Department of Dermatology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, 450003, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665, Kongjiang Road, Shanghai, 200092, China.,Center for Rare Disease, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665, Kongjiang Road, Shanghai, 200092, China.,Center for Rare Disease, Shanghai, China
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42
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Chen J, Huang X, Liu S, Lu C, Dai Y, Yao Z, Chen Y. Disrupted topological properties of brain networks in erectile dysfunction patients owing predominantly to psychological factors: a structural and functional neuroimaging study. Andrology 2019; 8:381-391. [PMID: 31468742 DOI: 10.1111/andr.12684] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 12/14/2022]
Affiliation(s)
- J. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - X. Huang
- Department of Andrology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - S. Liu
- Department of Radiology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - C. Lu
- Department of Radiology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Y. Dai
- Department of Andrology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University Medical School Nanjing China
| | - Z. Yao
- Department of Psychiatry Nanjing Brain Hospital Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Y. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
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43
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Chen J, Yu H, Yao Z. Coexistence of hypopigmented mycosis fungoides and erythema dyschromicum perstans in a 3-year-old Chinese girl. J Eur Acad Dermatol Venereol 2019; 33:e492-e494. [PMID: 31373744 DOI: 10.1111/jdv.15833] [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)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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44
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Ip Z, Rabiller G, He JW, Yao Z, Akamatsu Y, Nishijima Y, Liu J, Yazdan-Shahmorad A. Cortical stroke affects activity and stability of theta/delta states in remote hippocampal regions .. Annu Int Conf IEEE Eng Med Biol Soc 2019; 2019:5225-5228. [PMID: 31947036 PMCID: PMC8523210 DOI: 10.1109/embc.2019.8857679] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Cognitive impairment is a common outcome of ischemic stroke. Our previous work has shown that an experimental stroke in the cortex reduces activity in remote hippocampal layers in rats. This study seeks to uncover the underlying functional connections between these areas by analyzing changes to oscillatory activity, signal power, and communication. We induced an ischemic stroke in the left somatosensory cortex of rats and used linear micro-electrode arrays to simultaneously record from cortex and hippocampus under urethane anesthesia at two weeks and one month after stroke. We found significant increase in signal power, as well as an increase in the number of brain state changes in response to stroke. Our results suggest that the cortex modulates the activity and stability of hippocampal oscillations, which is disrupted following cortical stroke that can lead to cognitive impairment.
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45
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Guo Y, Zhang H, Liu Q, Wei F, Tang J, Li P, Han X, Zou X, Xu G, Xu Z, Zong W, Ran Q, Xiao F, Mu Z, Mao X, Ran N, Cheng R, Li M, Li C, Luo Y, Meng C, Zhang X, Xu H, Li J, Tang P, Xiang J, Shen C, Niu H, Li H, Shen J, Ni C, Zhang J, Wang H, Ma L, Bieber T, Yao Z. Phenotypic analysis of atopic dermatitis in children aged 1-12 months: elaboration of novel diagnostic criteria for infants in China and estimation of prevalence. J Eur Acad Dermatol Venereol 2019; 33:1569-1576. [PMID: 30989708 DOI: 10.1111/jdv.15618] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 03/01/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Atopic dermatitis (AD) is the most common skin disorder in infancy. However, the diagnosis and definite significance of infantile AD remains a debated issue. OBJECTIVE To analyse the phenotypes of AD in infancy, to establish diagnostic criteria and to estimate the prevalence of this condition in China. METHODS This is a multicentric study, in which 12 locations were chosen from different metropolitan areas of China. Following careful and complete history-taking and skin examination, the definite diagnosis of AD was made and the severity based on the SCORAD index was determined by local experienced dermatologists. Based on the detailed phenotyping, the major and representative clinical features of infantile AD were selected to establish the diagnostic criteria and evaluate their diagnostic efficacy. RESULTS A total of 5967 infants were included in this study. The overall point prevalence of AD was 30.48%. The infantile AD developed as early as at the second month of life, and its incidence peaked in the third month of life at 40.81%. The proportion of mild, moderate and severe AD was 67.40%, 30.57% and 2.03%, respectively. The most commonly seen manifestations in the infantile AD were facial dermatitis (72.07%), xerosis (42.72%) and scalp dermatitis (27.93%). We established the novel diagnostic criteria of infants, which included: (i) onset after 2 weeks of birth; (ii) pruritus and/or irritability and sleeplessness comparable with lesions; and (iii) all two items above with one of the following items can reach a diagnosis of AD: (i) eczematous lesions distributed on cheeks and/or scalp and/or extensor limbs, and (ii) eczematous lesions on any other parts of body accompanied by xerosis. CONCLUSIONS In China, the prevalence of AD in infancy is 30.48% according to clinical diagnosis of dermatologists. The novel Chinese diagnostic criteria for AD in infants show a higher sensitivity and comparable specificity.
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Affiliation(s)
- Y Guo
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - H Zhang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Q Liu
- Department of Dermatology, Shanxi Children's Hospital, Taiyuan, Shanxi, China
| | - F Wei
- Department of Dermatology, Dalian Children's Hospital, Dalian, Liaoning, China
| | - J Tang
- Department of Dermatology, Hunan Children's Hospital, Changsha, Hunan, China
| | - P Li
- Department of Dermatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - X Han
- Department of Dermatology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China
| | - X Zou
- Department of Dermatology, Hubei Maternity and Child Health Hospital, Wuhan, Hubei, China
| | - G Xu
- Department of Community Health and Family Medicine, School of Public Health, Shanghai Jiaotong University, Shanghai, China
| | - Z Xu
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - W Zong
- Institute of Dermatology, Chinese Academy of Medical Sciences, Peking Union Medical College, Nanjing, Jiangsu, China
| | - Q Ran
- Department of Dermatology, Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - F Xiao
- Institute of Dermatology and Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Z Mu
- Department of Dermatology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China
| | - X Mao
- Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - N Ran
- Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - R Cheng
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - C Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Luo
- Department of Dermatology, Hunan Children's Hospital, Changsha, Hunan, China
| | - C Meng
- Department of Dermatology, Hubei Maternity and Child Health Hospital, Wuhan, Hubei, China
| | - X Zhang
- Department of Dermatology, Shanxi Children's Hospital, Taiyuan, Shanxi, China
| | - H Xu
- Department of Dermatology, Chengdu Women's and Children's Central Hospital, Chengdu, Sichuan, China
| | - J Li
- Department of Dermatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - P Tang
- Department of Dermatology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - J Xiang
- Department of Pediatric Dermatology, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - C Shen
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - H Niu
- Department of Dermatology, Dalian Children's Hospital, Dalian, Liaoning, China
| | - H Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Shen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - C Ni
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Zhang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - H Wang
- Department of Pediatric Dermatology, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - L Ma
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - T Bieber
- Department of Dermatology and Allergy, University of Bonn, Bonn, Germany
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Rock J, Jansen B, Yao Z, Talisha A, Maesa H, Dinh D, Cope J. 524 Evaluation of different skin collection methods for assessment of the skin microbiome. J Invest Dermatol 2019. [DOI: 10.1016/j.jid.2019.03.600] [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: 10/27/2022]
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Fu TT, Yao Z, Ding H, Xu ZT, Yang MR, Yu JH, Wang WP. [Computer-aided assessment of liver fibrosis progression in patients with chronic hepatitis B: an exploratory research]. Zhonghua Yi Xue Za Zhi 2019; 99:491-495. [PMID: 30786344 DOI: 10.3760/cma.j.issn.0376-2491.2019.07.003] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To establish automatic liver fibrosis classification models by using traditional machine learning and deep learning methods and preliminaryly evaluate the efficiency. Methods: Gray scale ultrasound images and corresponding elastic images of 354 patients, 247 males and 107 females, mean age (54±12) years undergoing partial hepatectomy in Zhongshan Hospital of Fudan University from November 2014 to January 2016 were enrolled in this study. By using traditional machine learning and deep learning methods, an automatic classification model of liver fibrosis stages (S0 to S4) were established through feature extraction and classification of ultrasound image data sets and the accuracy in different classification categories of each model were calculated, by using liver biopsy as the reference standard. Results: Pathological examination showed 73 cases in pathological stage S0, 40 cases in S1, 49 cases in S2, 41 cases in S3, and 151 cases in S4. The traditional machine classification model based on support vector machine (SVM) classifier and sparse representation classifier and the deep learning classification model based on LeNet-5 neural network, their accuracy rates in the two categories (S0/S1/S2 and S3/S4) were 89.8%, 91.8% and 90.7% respectively; the accuracy rates in the three categories (S0/S1 and S2/S3 and S4) were 75.3%, 79.4% and 82.8% respectively; the accuracy in the three categories (S0 and S1/S2/S3 and S4) were 79.3%, 82.7% and 87.2% respectively. Conclusions: Computer-aided assessment of liver fibrosis progression in patients with chronic hepatitis B has a high accuracy, and can achieve a more detailed classification. This method is expected to be applied in the non-invasive evaluation of liver fibrosis in patients with hepatitis B in clinical work in the future.
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Affiliation(s)
- T T Fu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China
| | - Z Yao
- Department of Electronic Engineering, Fudan University, Shanghai 200433, China
| | - H Ding
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China
| | - Z T Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China
| | - M R Yang
- Department of Electronic Engineering, Fudan University, Shanghai 200433, China
| | - J H Yu
- Department of Electronic Engineering, Fudan University, Shanghai 200433, China
| | - W P Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China
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Li C, Lan C, Zhang X, Yin L, Hao X, Tian J, Lin L, Sun H, Yao Z, Feng X, Jia J, Yang Y. Evaluation of Diffusional Kurtosis Imaging in Sub-acute Ischemic Stroke: Comparison with Rehabilitation Treatment Effect. Cell Transplant 2019; 28:1053-1061. [PMID: 30907127 PMCID: PMC6728709 DOI: 10.1177/0963689719837919] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Stroke is a serious worldwide medical condition that causes neurological function disability. Diffusional kurtosis imaging, which measures the non-Gaussianity of water diffusion, has been demonstrated to be a sensitive biomarker in many neuro-pathologies. This study explores the relationship between neural function recovery and transformation of the ischemic lesion and/or corticospinal tract during the sub-acute phase after stroke by using diffusional kurtosis imaging. We performed a prospective study of function recovery and K metrics of 43 patients with sub-acute ischemic stroke in the middle cerebral artery territory. The effect of rehabilitation treatment was evaluated using both the Fugl-Meyer motor function score and modified Barthel index score at post-treatment compared with admission, and patients were allocated to two groups: good and poor rehabilitation effect (GRE and PRE). Metrics of diffusional kurtosis imaging within ischemic lesion and along the corticospinal tract were acquired, respectively. All three relative axial diffusional kurtoses (rKas) along the corticospinal tract in the GRE group ( n = 21) were significantly larger than those of the PRE group ( n = 22), including rKa in the posterior limb of internal capsule, rKa in the cerebral peduncle, and rKa in the basal part of the pons ( p = 0.014, 0.005, and 0.021, respectively). This multi-parametric magnetic resonance imaging study showed that diffusional kurtosis imaging has the potential to complement existing stroke imaging techniques and revealed its own advantages in elucidating the possible biophysical mechanism of functional restoration underlying ischemic stroke.
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Affiliation(s)
- C. Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - C. Lan
- Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai, China
- Department of Rehabilitation, Shanxi Dayi Hospital, Taiyuan, China
| | - X. Zhang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Department of Radiotherapy, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - L. Yin
- Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, China
| | - X. Hao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - J. Tian
- Department of Radiology, Renji Hospital, Shanghai Jiao Tong University, China
| | - L. Lin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - H. Sun
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Z. Yao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - X. Feng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - J. Jia
- Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai, China
- Both the authors contributed equally to this article
| | - Y. Yang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Both the authors contributed equally to this article
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Chow E, Chan S, Yao Z, Sutradhar R, Lee J, Wan BA, Paszat L. Abstract P3-12-05: Fractionation patterns in adjuvant breast radiotherapy in Ontario, Canada from 2009 to 2015. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-12-05] [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: 11/16/2022]
Abstract
Abstract
Purpose: To report the patterns of use of hypofractionated radiotherapy (HFRT) (≤16 fractions)in breast cancer and ductal carcinoma in situ (DCIS) patients in Ontario, Canada from 2009 to 2015 and identify factors related to HFRT use.
Methods: A retrospective cohort study of Ontario women diagnosed with breast cancer or DCIS followed by adjuvant breast or chest wall radiation (RT) from 2009 to 2015 was conducted using data from the Institute for Clinical Evaluative Sciences (ICES). Logistic regression models were used to identify factors associated with HFRT use. Physician was included as a random effect. To calculate the potential amount of time that could be saved if all patients were to receive 16 fractions of HFRT, the number of extra RT treatments after the 16th visit was multiplied by the median amount of time spent to treat one patient at our cancer centre (8.76 minutes). This time was found with Sunnybrook Health Sciences Centre data collected from October 2017 to March 2018 (n=523) and represents the amount of time from when a patient enters the RT unit for treatment setup, until the RT beam is turned off.
Results: A total of 42,072 patients were included. Most patients were aged between 50 and 69 years old (56.7%) with stage I or II breast cancer (74.6%) and had breast conserving surgery (BCS) (76.9%). Half previously received chemotherapy and 7.9% were DCIS patients. Use of sequential boost, simultaneous boost, and regional nodal RT was 17.2%, 3.1%, and 31.7% respectively. Institutional variation in HFRT use ranged from 27.5% to 71.6%. HFRT use has increased in all patient populations over the study period. HFRT use was more common in breast cancer and DCIS patients with BCS than in chest wall and nodal RT. Simultaneous boost (OR=0.09), nodal RT (OR=0.08), previous chemotherapy (OR=0.7), stage 0, II, and III breast cancer (OR=0.06 relative to stage I), were correlated with less HFRT use. Older age, later year of diagnosis, sequential boost (OR=0.09), BCS and no surgery (OR=1.2, 1.5 relative to mastectomy) were correlated with higher HFRT use. Institution was significantly correlated to HFRT use. The variance estimate for the physician random effect was 0.33 (p<0.0001). For breast cancer patients with BCS and breast RT specifically, 62,396 extra visits occurred from 2009 to 2015, corresponding to ˜9100 hours of treatment if all patients received HFRT. For the entire patient population, a total of 190,726 extra visits occurred or ˜27,900 hours.
Trends in the use of HFRT (%) from 2009 to 2015 for DCIS and breast cancer patients in Ontario.YearStage I-IV + BCS + Breast RTStage I-IV + BCS + Breast + Nodal RTStage I-IV + Mastectomy + Breast RTStage I-IV + Mastectomy + Breast + Nodal RTDCIS + BCS200962.610.329.09.545.2201062.06.323.76.951.2201162.24.121.34.752.7201263.79.621.711.452.0201365.112.629.315.057.3201469.37.835.415.164.5201573.711.839.217.573.4BCS: breast conserving surgery, RT: radiation treatment
Conclusions: HFRT use in Ontario has increased over time for all patient populations, and reflects the current evidence supporting HFRT in different patient populations, with lower HFRT use seen in chest wall and nodal RT and higher HFRT use in early-stage breast cancer patients with BCS.
Citation Format: Chow E, Chan S, Yao Z, Sutradhar R, Lee J, Wan BA, Paszat L. Fractionation patterns in adjuvant breast radiotherapy in Ontario, Canada from 2009 to 2015 [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-12-05.
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Affiliation(s)
- E Chow
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - S Chan
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - Z Yao
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - R Sutradhar
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - J Lee
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - BA Wan
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - L Paszat
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
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Peng Y, Cao S, Yao Z, Wang Z. Prevalence of the cardiovascular health status in adults: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2018; 28:1197-1207. [PMID: 30360955 DOI: 10.1016/j.numecd.2018.08.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/20/2018] [Accepted: 08/09/2018] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS The American Heart Association has outlined seven cardiovascular health (CVH) metrics, including smoking, body mass index, physical activity, dietary pattern, total cholesterol, and fasting plasma glucose, to define and monitor CVH status. Our study was to evaluate the global CVH in adults. METHODS AND RESULTS We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, and reference lists of relevant articles for studies published between 1 January 2010 and 30 June 2018. Included studies should report the proportions of ideal status for the seven CVH metrics and/or provide the prevalence of overall poor (having 0-2 ideal metrics) or ideal (having 5-7 ideal metrics) CVH status in adults. 88 articles were identified: 75 for the prevalence of ideal CVH metrics, 58 for the proportion of overall poor CVH status, and 55 for the proportion of overall ideal CVH status. Smoking had the highest prevalence of ideal status (69.1%) while dietary pattern has the lowest (12.1%). 32.2% and 19.6% of participants had overall poor and ideal CVH, respectively. Females and young adults had better CVH status when compared to males and older adults. There existed regional variations in ideal CVH metrics and overall CVH status. The overall CVH status had improved over study time. CONCLUSION The prevalence of ideal status was low for some metrics, such as dietary pattern, and the overall CVH status was still unsatisfactory. We should continue to measure the CVH status and carry out lifestyle interventions to improve the CVH status in the whole population.
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Affiliation(s)
- Y Peng
- Centre for Chronic Disease, School of Clinical Medicine, The University of Queensland, Herston, Australia.
| | - S Cao
- Centre for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Herston, Australia
| | - Z Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Z Wang
- Centre for Chronic Disease, School of Clinical Medicine, The University of Queensland, Herston, Australia
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