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Lee CC, Hwang JI, Chang KH, Lin YC, Chao CC, Cheng TF, Chen YC, Hsueh KC. Comparison of contrast-enhanced ultrasonography and MRI results obtained by expert and novice radiologists indicating short-term response after transarterial chemoembolisation for hepatocellular carcinoma. Clin Radiol 2024; 79:e73-e79. [PMID: 37914602 DOI: 10.1016/j.crad.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 08/21/2023] [Accepted: 09/21/2023] [Indexed: 11/03/2023]
Abstract
AIM To evaluate inter-reader agreement between novice and expert radiologists in assessing contrast-enhanced ultrasonography (CEUS) and magnetic resonance imaging (MRI) images for detecting viable tumours with different sizes after conventional transarterial chemoembolisation (cTACE). MATERIALS AND METHODS This prospective study included patients who had less than five hepatomas and who underwent cTACE. Hepatomas with one or two feeding arteries were selected as target lesions. CEUS and MRI were performed within 1 week after cTACE to evaluate viable tumours. RESULTS The expert group had higher kappa values in evaluating all tumour sizes via CEUS compared with MRI. The novice group had similar kappa values. In patients with tumours measuring ≤3 cm, the expert group had higher kappa values in reading CEUS compared with MRI images; however, in the novice group, the kappa value was lower in evaluating CEUS compared with MRI images. In patients with tumours measuring >3 cm, the expert and novice groups had good to excellent kappa values. The confidence level of the two groups in reading MRI images was high; however, the novice group had a lower confidence level. CONCLUSION CEUS is a convenient, cost-effective, and easy to apply imaging tool that can help interventionists perform early detection of viable hepatocellular carcinoma post-TACE. It has a higher inter-rater agreement in interpreting CEUS images compared with MRI images among expert radiologists even when they are extremely familiar with post-cTACE MRI images. In novice radiologists, there may be a learning curve to achieve good consistency in CEUS interpretation.
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Affiliation(s)
- C-C Lee
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - J-I Hwang
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Radiology, National Defense Medical Center, Taipei 11490, Taiwan
| | - K-H Chang
- Department of Medical Research, Tungs' Taichung Metroharbor Hospital, Taichung Taiwan; Center for General Education, China Medical University, Taichung 404, Taiwan; General Education Center, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli 356, Taiwan; Department of Life Sciences and Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Y C Lin
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - C C Chao
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - T-F Cheng
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - Y-C Chen
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Medical Research, Tungs' Taichung Metroharbor Hospital, Taichung Taiwan
| | - K-C Hsueh
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Division of General Surgery, Department of Surgery, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, 40227, Taiwan.
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2
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Raut A, Fang H, Lin YC, Fu S, Sprouster D, Shimogawa R, Frenkel AI, Bae C, Douglin JC, Lillojad J, Tammeveski K, Zeng Z, Bliznakov S, Rafailovich M, Dekel DR. Migration and Precipitation of Platinum in Anion-Exchange Membrane Fuel Cells. Angew Chem Int Ed Engl 2023; 62:e202306754. [PMID: 37464925 PMCID: PMC10640718 DOI: 10.1002/anie.202306754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 07/20/2023]
Abstract
Despite the recent progress in increasing the power generation of Anion-exchange membrane fuel cells (AEMFCs), their durability is still far lower than that of Proton exchange membrane fuel cells (PEMFCs). Using the complementary techniques of X-ray micro-computed tomography (CT), Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray (EDX) spectroscopy, we have identified Pt ion migration as an important factor to explain the decay in performance of AEMFCs. In alkaline media Pt+2 ions are easily formed which then either undergo dissolution into the carbon support or migrate to the membrane. In contrast to PEMFCs, where hydrogen cross over reduces the ions forming a vertical "Pt line" within the membrane, the ions in the AEM are trapped by charged groups within the membrane, leading to disintegration of the membrane and failure. Diffusion of the metal components is still observed when the Pt/C of the cathode is substituted with a FeCo-N-C catalyst, but in this case the Fe and Co ions are not trapped within the membrane, but rather migrate into the anode, thereby increasing the stability of the membrane.
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Affiliation(s)
- Aniket Raut
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - Haoyan Fang
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - Yu-Chung Lin
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - Shi Fu
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - David Sprouster
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - Ryuichi Shimogawa
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
- Mitsubishi Chemical Corporation, Science & Innovation Center, 1000, Kamoshida-cho, Aoba-ku, Yokohama 227-8502, Japan
| | - Anatoly I. Frenkel
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
- Division of Chemistry, Brookhaven National Laboratory, Upton, New York 11973, United States of America
| | - Chulsung Bae
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York 12180, United States of America
| | - John C. Douglin
- The Wolfson Department of Chemical Engineering, Technion –Israel Institute of Technology, Haifa 3200003, Israel
| | - Jaana Lillojad
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia
| | - Kaido Tammeveski
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia
| | - Zhiqiao Zeng
- Center for Clean Energy Engineering, University of Connecticut, Storrs, Connecticut 06269, United States of America
| | - Stoyan Bliznakov
- Center for Clean Energy Engineering, University of Connecticut, Storrs, Connecticut 06269, United States of America
| | - Miriam Rafailovich
- Department of Materials Science and Chemical Engineering, State University of New York at Stony Brook, New York 11794, United States of America
| | - Dario R. Dekel
- The Wolfson Department of Chemical Engineering, Technion –Israel Institute of Technology, Haifa 3200003, Israel
- The Nancy & Stephen Grand Technion Energy Program (GTEP), Technion – Israel Institute of Technology, Haifa, 3200003, Israel
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3
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Lin YC, Lo I, Tsai CD, Wang YC, Huang HC, Li CA, Chou MMC, Chang TC. Optimization of Ternary In xGa 1-xN Quantum Wells on GaN Microdisks for Full-Color GaN Micro-LEDs. Nanomaterials (Basel) 2023; 13:1922. [PMID: 37446439 DOI: 10.3390/nano13131922] [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: 05/31/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023]
Abstract
Red, green, and blue light InxGa1-xN multiple quantum wells have been grown on GaN/γ-LiAlO2 microdisk substrates by plasma-assisted molecular beam epitaxy. We established a mechanism to optimize the self-assembly growth with ball-stick model for InxGa1-xN multiple quantum well microdisks by bottom-up nanotechnology. We showed that three different red, green, and blue lighting micro-LEDs can be made of one single material (InxGa1-xN) solely by tuning the indium content. We also demonstrated that one can fabricate a beautiful InxGa1-xN-QW microdisk by choosing an appropriate buffer layer for optoelectronic applications.
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Affiliation(s)
- Yu-Chung Lin
- Department of Physics, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Ikai Lo
- Department of Physics, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Cheng-Da Tsai
- Department of Physics, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Ying-Chieh Wang
- Center for Nanoscience and Nanotechnology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Hui-Chun Huang
- Department of Materials and Optoelectronic Science, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Chu-An Li
- Department of Materials and Optoelectronic Science, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Mitch M C Chou
- Department of Materials and Optoelectronic Science, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Ting-Chang Chang
- Department of Physics, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
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4
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Yin Y, Zhou Y, Fu S, Zuo X, Lin YC, Wang L, Xue Y, Zhang Y, Tsai EHR, Hwang S, Kissenger K, Li M, Cotlet M, Li TD, Yager KG, Nam CY, Rafailovich MH. Enhancing Crystallization in Hybrid Perovskite Solar Cells Using Thermally Conductive 2D Boron Nitride Nanosheet Additive. Small 2023; 19:e2207092. [PMID: 36631283 DOI: 10.1002/smll.202207092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/29/2022] [Indexed: 06/17/2023]
Abstract
Controlling crystallization and grain growth is crucial for realizing highly efficient hybrid perovskite solar cells (PSCs). In this work, enhanced PSC photovoltaic performance and stability by accelerating perovskite crystallization and grain growth via 2D hexagonal boron nitride (hBN) nanosheet additives incorporated into the active perovskite layer are demonstrated. In situ X-ray scattering and infrared thermal imaging during the perovskite annealing process revealed the highly thermally conductive hBN nanosheets promoted the phase conversion and grain growth in the perovskite layer by facilitating a more rapid and spatially uniform temperature rise within the perovskite film. Complementary structural, physicochemical, and electrical characterizations further showed that the hBN nanosheets formed a physical barrier at the perovskite grain boundaries and the interfaces with charge transport layers, passivating defects, and retarding ion migration. As a result, the power conversion efficiency of the PSC is improved from 17.4% to 19.8%, along with enhanced device stability, retaining ≈90% of the initial efficiency even after 500 h ambient air storage. The results not only highlight 2D hBN as an effective additive for PSCs but also suggest enhanced thermal transport as one of the pathways for improved PSC performance by 2D material additives in general.
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Affiliation(s)
- Yifan Yin
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Yuchen Zhou
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Shi Fu
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Xianghao Zuo
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Yu-Chung Lin
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Likun Wang
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Yuan Xue
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Yugang Zhang
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Esther H R Tsai
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Sooyeon Hwang
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Kim Kissenger
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Mingxing Li
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Mircea Cotlet
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Tai-De Li
- Advanced Science Research Center, Graduate Center of City University of New York, New York, NY, 10031, USA
| | - Kevin G Yager
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Chang-Yong Nam
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - Miriam H Rafailovich
- Department of Material Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
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5
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Lin YC, Sinfield JV. Sub-Nanosecond Digital Signal Processing of Photomultiplier Tube Response Enabling Multiphoton Counting in Raman Spectroscopy. Appl Spectrosc 2022; 76:1174-1190. [PMID: 35382571 DOI: 10.1177/00037028221095878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This paper introduces a novel approach to achieve multiple photon counting for Raman spectroscopy. The multiphoton counting process is made possible by recording and analyzing the photomultiplier tube response to each pulse of a pulsed laser in a time-resolved Raman spectroscopy system. Conventional Raman spectroscopy typically considers photon arrivals as binary events assessed by a single threshold. Hence, the conventional algorithm ignores the fact that multiple photons could arrive within the same response, sacrificing potential signal gain. In this work, a high-speed data acquisition system and multiple threshold digital signal processing counting algorithm are employed to facilitate multiphoton counting, a data processing approach that differentiates photon arrival events by amplitude and time and contributes to improved Raman detection sensitivity. The multiphoton counting algorithm enables lower concentration detection, greater sensitivity, shortens experiment duration, and improves noise rejection. Results from analyses of aqueous solutions of nitrate, isopropanol, and rhodamine 6G demonstrate the versatility and effectiveness of this algorithm. The algorithm increased system sensitivity by ∼ 2.0-, 2.0-, and 3.1-fold, compared to traditional single-threshold analyses of the same data for tests performed on nitrate, isopropanol, and rhodamine 6G, respectively. Results also demonstrated that the multiphoton counting algorithm increases the upper analysis limit for high Raman-yield compounds, shifting the saturation threshold to a higher concentration in typical concentration versus intensity calibration curves.
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Affiliation(s)
- Yu-Chung Lin
- Civil Engineering Spectroscopy Laboratory, Lyles School of Civil Engineering, 311308Purdue University, West Lafayette, IN, USA
| | - Joseph V Sinfield
- Civil Engineering Spectroscopy Laboratory, Lyles School of Civil Engineering, 311308Purdue University, West Lafayette, IN, USA
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6
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Lin YC, Keenan K, Gong J, Panjwani N, Avolio J, Lin F, Adam D, Barrett P, Bégin S, Berthiaume Y, Bilodeau L, Bjornson C, Brusky J, Burgess C, Chilvers M, Consunji-Araneta R, Côté-Maurais G, Dale A, Donnelly C, Fairservice L, Griffin K, Henderson N, Hillaby A, Hughes D, Iqbal S, Itterman J, Jackson M, Karlsen E, Kosteniuk L, Lazosky L, Leung W, Levesque V, Maille É, Mateos-Corral D, McMahon V, Merjaneh M, Morrison N, Parkins M, Pike J, Price A, Quon BS, Reisman J, Smith C, Smith MJ, Vadeboncoeur N, Veniott D, Viczko T, Wilcox P, van Wylick R, Cutting G, Tullis E, Ratjen F, Rommens JM, Sun L, Solomon M, Stephenson AL, Brochiero E, Blackman S, Corvol H, Strug LJ. Correction to: Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. Genet Med 2021; 23:2235-2236. [PMID: 34389817 PMCID: PMC8553623 DOI: 10.1038/s41436-021-01281-z] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yu-Chung Lin
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Katherine Keenan
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jiafen Gong
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Naim Panjwani
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Julie Avolio
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fan Lin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Damien Adam
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | | | | | - Yves Berthiaume
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Lara Bilodeau
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Janna Brusky
- Jim Pattison Children's Hospital, Saskatoon, SK, Canada
| | | | - Mark Chilvers
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Andrea Dale
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | | | | | | | | | - Shaikh Iqbal
- The Children's Hospital of Winnipeg, Winnipeg, MB, Canada
| | | | - Mary Jackson
- Royal University Hospital, Saskatoon, SK, Canada
| | | | | | | | - Winnie Leung
- University of Alberta Hospital, Edmonton, AB, Canada
| | | | | | | | | | | | - Nancy Morrison
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | - April Price
- The Children's Hospital of Western Ontario, London, ON, Canada
| | | | - Joe Reisman
- The Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Clare Smith
- Foothills Medical Centre, Calgary, AB, Canada
| | - Mary Jane Smith
- Janeway Children's Health & Rehabilitation Centre, St. John's, NL, Canada
| | - Nathalie Vadeboncoeur
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Terry Viczko
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Garry Cutting
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Felix Ratjen
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Johanna M Rommens
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Lei Sun
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - Melinda Solomon
- Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | | | - Emmanuelle Brochiero
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | - Scott Blackman
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harriet Corvol
- Assistance Publique-Hôpitaux de Paris, Hôpital Trousseau, Pediatric Pulmonary Department, Paris, France.,Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche Saint Antoine, Paris, France
| | - Lisa J Strug
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. .,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada. .,The Center for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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7
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Lin YC, Keenan K, Gong J, Panjwani N, Avolio J, Lin F, Adam D, Barrett P, Bégin S, Berthiaume Y, Bilodeau L, Bjornson C, Brusky J, Burgess C, Chilvers M, Consunji-Araneta R, Côté-Maurais G, Dale A, Donnelly C, Fairservice L, Griffin K, Henderson N, Hillaby A, Hughes D, Iqbal S, Itterman J, Jackson M, Karlsen E, Kosteniuk L, Lazosky L, Leung W, Levesque V, Maille É, Mateos-Corral D, McMahon V, Merjaneh M, Morrison N, Parkins M, Pike J, Price A, Quon BS, Reisman J, Smith C, Smith MJ, Vadeboncoeur N, Veniott D, Viczko T, Wilcox P, van Wylick R, Cutting G, Tullis E, Ratjen F, Rommens JM, Sun L, Solomon M, Stephenson AL, Brochiero E, Blackman S, Corvol H, Strug LJ. Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. Genet Med 2021; 23:927-933. [PMID: 33500570 PMCID: PMC8105168 DOI: 10.1038/s41436-020-01073-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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] [Received: 07/22/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 12/16/2022] Open
Abstract
Purpose Cystic fibrosis (CF), caused by pathogenic variants in the CF transmembrane conductance regulator (CFTR), affects multiple organs including the exocrine pancreas, which is a causal contributor to cystic fibrosis–related diabetes (CFRD). Untreated CFRD causes increased CF-related mortality whereas early detection can improve outcomes. Methods Using genetic and easily accessible clinical measures available at birth, we constructed a CFRD prediction model using the Canadian CF Gene Modifier Study (CGS; n = 1,958) and validated it in the French CF Gene Modifier Study (FGMS; n = 1,003). We investigated genetic variants shown to associate with CF disease severity across multiple organs in genome-wide association studies. Results The strongest predictors included sex, CFTR severity score, and several genetic variants including one annotated to PRSS1, which encodes cationic trypsinogen. The final model defined in the CGS shows excellent agreement when validated on the FGMS, and the risk classifier shows slightly better performance at predicting CFRD risk later in life in both studies. Conclusion We demonstrated clinical utility by comparing CFRD prevalence rates between the top 10% of individuals with the highest risk and the bottom 10% with the lowest risk. A web-based application was developed to provide practitioners with patient-specific CFRD risk to guide CFRD monitoring and treatment.
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Affiliation(s)
- Yu-Chung Lin
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Katherine Keenan
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jiafen Gong
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Naim Panjwani
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Julie Avolio
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fan Lin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Damien Adam
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | | | | | - Yves Berthiaume
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Lara Bilodeau
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Janna Brusky
- Jim Pattison Children's Hospital, Saskatoon, SK, Canada
| | | | - Mark Chilvers
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Andrea Dale
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | | | | | | | | | - Shaikh Iqbal
- The Children's Hospital of Winnipeg, Winnipeg, MB, Canada
| | | | - Mary Jackson
- Royal University Hospital, Saskatoon, SK, Canada
| | | | | | | | - Winnie Leung
- University of Alberta Hospital, Edmonton, AB, Canada
| | | | | | | | | | | | - Nancy Morrison
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | - April Price
- The Children's Hospital of Western Ontario, London, ON, Canada
| | | | - Joe Reisman
- The Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Clare Smith
- Foothills Medical Centre, Calgary, AB, Canada
| | - Mary Jane Smith
- Janeway Children's Health & Rehabilitation Centre, St. John's, NL, Canada
| | - Nathalie Vadeboncoeur
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Terry Viczko
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Garry Cutting
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Felix Ratjen
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Johanna M Rommens
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Lei Sun
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - Melinda Solomon
- Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | | | - Emmanuelle Brochiero
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | - Scott Blackman
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harriet Corvol
- Assistance Publique-Hôpitaux de Paris, Hôpital Trousseau, Pediatric Pulmonary Department, Paris, France.,Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche Saint Antoine, Paris, France
| | - Lisa J Strug
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. .,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada. .,The Center for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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Lin YC, Brooks JD, Bull SB, Gagnon F, Greenwood CMT, Hung RJ, Lawless J, Paterson AD, Sun L, Strug LJ. Statistical power in COVID-19 case-control host genomic study design. Genome Med 2020; 12:115. [PMID: 33371892 PMCID: PMC7768597 DOI: 10.1186/s13073-020-00818-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/07/2020] [Indexed: 12/21/2022] Open
Abstract
The identification of genetic variation that directly impacts infection susceptibility to SARS-CoV-2 and disease severity of COVID-19 is an important step towards risk stratification, personalized treatment plans, therapeutic, and vaccine development and deployment. Given the importance of study design in infectious disease genetic epidemiology, we use simulation and draw on current estimates of exposure, infectivity, and test accuracy of COVID-19 to demonstrate the feasibility of detecting host genetic factors associated with susceptibility and severity in published COVID-19 study designs. We demonstrate that limited phenotypic data and exposure/infection information in the early stages of the pandemic significantly impact the ability to detect most genetic variants with moderate effect sizes, especially when studying susceptibility to SARS-CoV-2 infection. Our insights can aid in the interpretation of genetic findings emerging in the literature and guide the design of future host genetic studies.
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Affiliation(s)
- Yu-Chung Lin
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Room 12.9801, 686 Bay Street, Toronto, ON, M5G0A4, Canada
| | - Jennifer D Brooks
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
| | - Shelley B Bull
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - France Gagnon
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
| | - Celia M T Greenwood
- Gerald Bronfman Department of Oncology, Department of Epidemiology, Biostatistics & Occupational Health, Department of Human Genetics, McGill University, Montreal, QC, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Rayjean J Hung
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Room 12.9801, 686 Bay Street, Toronto, ON, M5G0A4, Canada
| | - Jerald Lawless
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - Andrew D Paterson
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Room 12.9801, 686 Bay Street, Toronto, ON, M5G0A4, Canada
| | - Lei Sun
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada
- Department of Statistical Sciences, University of Toronto, 9th Floor, Ontario Power Building 700 University Ave, Toronto, ON, M5G 1Z5, Canada
| | - Lisa J Strug
- Dalla Lana School of Public Health, University of Toronto, Room 500, 155 College St, Toronto, ON, M5T3M7, Canada.
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Room 12.9801, 686 Bay Street, Toronto, ON, M5G0A4, Canada.
- Department of Statistical Sciences, University of Toronto, 9th Floor, Ontario Power Building 700 University Ave, Toronto, ON, M5G 1Z5, Canada.
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada.
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Liu X, Di Tullio V, Lin YC, De Andrade V, Zhao C, Lin CH, Wagner M, Zumbulyadis N, Dybowski C, Centeno SA, Chen-Wiegart YCK. Nano- to microscale three-dimensional morphology relevant to transport properties in reactive porous composite paint films. Sci Rep 2020; 10:18320. [PMID: 33110102 PMCID: PMC7591493 DOI: 10.1038/s41598-020-75040-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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] [Received: 06/23/2020] [Accepted: 09/03/2020] [Indexed: 11/11/2022] Open
Abstract
The quantitative evaluation of the three-dimensional (3D) morphology of porous composite materials is important for understanding mass transport phenomena, which further impact their functionalities and durability. Reactive porous paint materials are composites in nature and widely used in arts and technological applications. In artistic oil paintings, ambient moisture and water and organic solvents used in conservation treatments are known to trigger multiple physical and chemical degradation processes; however, there is no complete physical model that can quantitatively describe their transport in the paint films. In the present study, model oil paints with lead white (2PbCO3·Pb(OH)2) and zinc white (ZnO) pigments, which are frequently found in artistic oil paintings and are associated with the widespread heavy metal soap deterioration, were studied using synchrotron X-ray nano-tomography and unilateral nuclear magnetic resonance. This study aims to establish a relationship among the paints’ compositions, the 3D morphological properties and degradation. This connection is crucial for establishing reliable models that can predict transport properties of solvents used in conservation treatments and of species involved in deterioration reactions, such as soap formation.
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Affiliation(s)
- Xiaoyang Liu
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Valeria Di Tullio
- Department of Scientific Research, The Metropolitan Museum of Art, New York, NY, 10028, USA.,"Segre-Capitani" Magnetic Resonance Laboratory, Istituto Per I Sistemi Biologi, (ISB) CNR, CNR Area Della Ricerca di Roma 1, Via Salaria Km 29, 300, 00015, Monterotondo, Rome, Italy
| | - Yu-Chung Lin
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Vincent De Andrade
- Advanced Photon Source, Argonne National Laboratory, Argonne, IL, 60439, USA
| | - Chonghang Zhao
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Cheng-Hung Lin
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Molly Wagner
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA
| | | | - Cecil Dybowski
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA
| | - Silvia A Centeno
- Department of Scientific Research, The Metropolitan Museum of Art, New York, NY, 10028, USA.
| | - Yu-Chen Karen Chen-Wiegart
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA. .,National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
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Abstract
INTRODUCTION Nanodiamond (ND) refers to diamond particles with sizes from few to near 100 nanometers. For its superb physical, chemical and spectroscopic properties, it has been proposed and studied with the aims for bio imaging and drug delivery. Many modalities on conjugating drug molecules on ND to form ND-X for more efficient drug delivery have been demonstrated in the cellular and animal models. AREA COVERED Many novel drug delivery approaches utilizing nanodiamond as a platform have been demonstrated recently. This review summarizes recent developments on the nanodiamond facilitated drug delivery, from the ND-X complexes preparations to tests in the cellular and animal models. The outlook on clinical translation is discussed. EXPERT OPINION Nanodiamond and drug complexes (ND-X) produced from different methods are realized for drug delivery; almost all studies reported ND-X being more efficient compared to pure drug alone. However, ND of particle size less than 10 nm are found more toxic due to size and surface structure, and strongly aggregate. In vivo studies demonstrate ND accumulation in animal organs and no confirmed long-term effect studies on their release from organs are available. Standardized nanodiamond materials and drug delivery approaches are needed to advance the applications to the clinical level.
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Affiliation(s)
- Elena Perevedentseva
- Department of Physics, National Dong Hwa University, Shoufeng, Taiwan.,Russian Academy of Sciences, P.N. Lebedev Physics Institute, Moskva, Russian Federation
| | - Yu-Chung Lin
- Department of Physics, National Dong Hwa University, Shoufeng, Taiwan
| | - Chia-Liang Cheng
- Department of Physics, National Dong Hwa University, Shoufeng, Taiwan
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11
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Lin YC, Chou SH, Hsueh WJ. Tunable light absorption of graphene using topological interface states. Opt Lett 2020; 45:4369-4372. [PMID: 32796960 DOI: 10.1364/ol.397738] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
A tunable light absorption of graphene using topological interface states (TISs) is presented. The monolayer graphene is embedded in the interface of asymmetric topological photonic crystals (ATPCs). A strong absorption phenomenon occurs by the excitation of TISs. It is found that the absorption spectra are intensively dependent on the chemical potential of graphene and the periodic number of the ATPCs. Furthermore, the absorption can be rapidly switched in a slight variation of chemical potential, which is modulated by the applied gate voltage on graphene. This study not only opens up a new approach for enhancing light-monolayer graphene interactions, but also provides for practical applications in high absorption optoelectronic devices. This strong absorption phenomenon is different from those in Fabry-Perot resonators, nano-cavities photonic crystal, and traditional topological photonic crystals (TPCs).
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Lewin J, Bell JAH, Wang K, Forcina V, Tam S, Srikanthan A, Lin YC, Taback N, Mitchell L, Gupta AA. Evaluation of Adolescents’ and Young Adults’ Attitudes Toward Participation in Cancer Clinical Trials. JCO Oncol Pract 2020; 16:e280-e289. [DOI: 10.1200/jop.19.00450] [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: 02/02/2023] Open
Abstract
PURPOSE: Participation in cancer clinical trials (CCTs) for adolescents and young adults (AYAs) remains the lowest of any patient group with cancer. Little is known about the personal barriers to AYA accrual. The aim of this study was to explore AYA attitudes that influence CCT participation. METHODS: A mixed-methods approach was used. AYAs and non-AYAs (≥ 40 years) completed the Cancer Treatment subscale of the Attitudes Toward Cancer Trials Scales and 9 supplementary questions formed from interview analysis. Differences between AYA and non-AYA cohorts were analyzed using the Mann-Whitney U test, and logistic regression models were constructed to evaluate the effect of demographics on perceptions of CCTs. RESULTS: Surveys were distributed to 61 AYAs (median age, 29 years; range, 17-39 years) and 74 non-AYAs (median age, 55 years; range, 40-88 years). Compared with non-AYAs, AYAs perceived CCTs to be unsafe/more difficult (Personal Barrier/Safety domain; P = .01). There were no differences based on age in other domains. AYAs were also more concerned with CCT interference in their long-term goals ( P = .04). Multivariable ordered logistic regression identified increased personal barriers in the Personal Barrier/Safety domain for AYAs ( P = .01), in patients with English as a second language (ESL; P < .01), and in patients previously not offered a clinical trial ( P = .03). Long-term goals were identified as a barrier in particular tumor types ( P = .01) and in patients with ESL ( P < .01), with a trend identified in AYAs ( P = .12). CONCLUSION: Age-related differences in attitudes toward CCTs suggest that tailored approaches to CCT accrual are warranted. Patient-centered delivery of information regarding CCTs, particularly in patients with ESL and who are trial naïve, may improve accrual.
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Affiliation(s)
- Jeremy Lewin
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
- Department of Medical Oncology and Hematology, Princes Margaret Cancer Center, Toronto, Ontario, Canada
| | - Jennifer A. H. Bell
- Department of Bioethics, University Health Network; Department of Supportive Care, Princess Margaret Cancer Centre; and Department of Psychiatry and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Kate Wang
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Victoria Forcina
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Seline Tam
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Amirrtha Srikanthan
- Department of Medical Oncology, The Ottawa Hospital Cancer Centre, Ottawa, Ontario, Canada
| | - Yu-Chung Lin
- Departments of Statistical Science and Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Nathan Taback
- Departments of Statistical Science and Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Laura Mitchell
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Abha A. Gupta
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
- Department of Medical Oncology and Hematology, Princes Margaret Cancer Center, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
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13
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Lin YC, Yan HT. Media Freedom is the Primary Culprit for Depressive Disorders: A Cross-National Analysis. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz187.102] [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: 11/12/2022] Open
Abstract
Abstract
Background
There has been much speculation about social environments causing an epidemic of depression. The objectives of this study are to examine how media freedom influences prevalence of depressive disorders. A direct effect of free media is great levels of information complexity causing poor mental health. Two indirect effects are that media freedom facilitates modernization, which is associated with competition-related stress, and government investment in social protection, which impedes the person’s ability to manage stress.
Methods
The study used a cross-sectional analysis on determinants of prevalence of depressive disorders in 2015 covering 98 democratic countries. Media freedom was measured as the degree to which a country allows the freedom of news and information of print media, television, and radio broadcasting (0-100: least to most free). Control variables were then added, including GDP per capita growth, population density, country latitude, and religious affiliations. Further, a mediation analysis was applied to test if there is a causal pathway that links the degrees of media freedom and the levels of economic development or/and social protection to prevalence of depression.
Results
We found that an increase in the score of media freedom by 10 resulted in a 0.20 percentage point increase in prevalence of depressive disorders (%) (0.20, CI = 0.10-0.30). Our theoretical expectations were still confirmed when this study examined the relationship for each year between 2011 and 2014 (e.g. in 2014, 0.19, CI = 0.09-0.29), used an alternative index of media freedom from a practitioners’ view (0.17, CI = 0.02-0.32), or measured each country’s level of internet and digital media freedom (0.30, CI = 0.10-0.49). Further, a mediation test showed that 39.88% and 21.38% of the total effect was mediated through the economic and social pathway respectively.
Conclusions
The findings suggest that great levels of media freedom matter in increasing prevalence of depression.
Key messages
Great levels of media freedom matter in increasing prevalence of depression. There are direct and two indirect effects of media freedom on prevalence of depression.
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Affiliation(s)
- Y C Lin
- Chinese Medicine Department, China Medical University Hospital, Taichung City, Taiwan
| | - H T Yan
- Department of Government, University of Essex, Colchester, UK
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14
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Lin YC, Ni CH, Wu CY, Lin JCT. A full-scale study of external circulation sludge bed (ECSB) system for anaerobic wastewater treatment in a whiskey distillery. Environ Sci Pollut Res Int 2019; 26:34261-34276. [PMID: 30635882 DOI: 10.1007/s11356-018-4018-3] [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] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 12/17/2018] [Indexed: 06/09/2023]
Abstract
Waste liquid streams from distillery were a hurdle in conventional wastewater treatment due to extreme high chemical oxygen demand (COD) and fluctuating feed conditions. A recently commissioned full-scale external circulation sludge bed (ECSB) was applied at a malt whiskey distillery in northeast Taiwan. Start-up of the new ECSB system, which has a total volume of 490 m3 with diameter of 6.55 m (ø) and height of 15.9 m (H), was performed by gradual increasing influent flow rates from zero to the design value of 300 m3 day-1 in the first 90 days. In the subsequent 204 days, both influent flow rates (0-389 m3 day-1) and COD concentrations (2.8-18.1 kg L-1) were highly fluctuated due to diverse batches from the distillery. However, effective bioremediation (COD removal 95.1 ± 2.4%) and biogas production (1195 ± 724 L day-1) were achieved in this system. Intensively, the Imhoff tests were carried out and shown the settled solids concentration by 0.5 ± 0.4 mL L-1, while size distributions of granular sludge were analyzed and observed by SEM-EDS. In addition, developments of the anaerobic systems (including lab, pilot, and full scale from the simplest reactor to the latest ECSB) applied in whiskey wastewater treatment were reviewed with their operational parameters for comparing performances of various anaerobic systems. In general, real-time monitoring and feasible operation strategies were critical to successfully run the system by producing clean energy simultaneously. It provides more economically attractive and sustainable-to-adopt ECSB not only an end-of-pipe process but also a bioresource technology.
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Affiliation(s)
- Yu-Chung Lin
- EigenGreen International Inc., Taipei City, 10483, Taiwan
| | - Chen-Hua Ni
- Eco-digital Technology Inc., Taipei City, 10483, Taiwan
| | - Chin-Yi Wu
- EigenGreen International Inc., Taipei City, 10483, Taiwan
- Department of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan
| | - Justin Chun-Te Lin
- Department of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan.
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15
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Shmueli Y, Lin YC, Lee S, Zhernenkov M, Tannenbaum R, Marom G, Rafailovich MH. In Situ Time-Resolved X-ray Scattering Study of Isotactic Polypropylene in Additive Manufacturing. ACS Appl Mater Interfaces 2019; 11:37112-37120. [PMID: 31532992 DOI: 10.1021/acsami.9b12908] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Using a specially designed apparatus, which collects simultaneous temperature and X-ray scattering data, we performed in situ measurements of the filament during MatEx 3D printing. The data show that the MatEx 3D printing extrusion process provides sufficient shear to form shish-kebab structures, which initially nucleate at the filament surface and spread into the filament core. Time-resolved measurements show that the kebab component near the surface relaxes after deposition of the second filament and enhances chain diffusion across the interface. SEM images indicate near complete interfacial merging of the filaments, which results in excellent mechanical properties.
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Affiliation(s)
- Yuval Shmueli
- Department of Materials Science and Chemical Engineering , Stony Brook University , Stony Brook , New York 11794 , United States
| | - Yu-Chung Lin
- Department of Materials Science and Chemical Engineering , Stony Brook University , Stony Brook , New York 11794 , United States
| | - Sungsik Lee
- X-ray Science Division , Argonne National Laboratory , Argonne , Illinois 60349 , United States
| | - Mikhail Zhernenkov
- National Synchrotron Light Source II , Brookhaven National Laboratory , Upton , New York 11973 , United States
| | - Rina Tannenbaum
- Department of Materials Science and Chemical Engineering , Stony Brook University , Stony Brook , New York 11794 , United States
| | - Gad Marom
- X-ray Science Division , Argonne National Laboratory , Argonne , Illinois 60349 , United States
- Casali Institute of Applied Chemistry, The Institute of Chemistry and the Center for Nanoscience and Nanotechnology , The Hebrew University of Jerusalem , Jerusalem 91904 , Israel
| | - Miriam H Rafailovich
- Department of Materials Science and Chemical Engineering , Stony Brook University , Stony Brook , New York 11794 , United States
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16
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Chiang JY, Fu CM, Lin YC, Ku BW, Hsu SU, Wu CK, Lin LY, Lin JL, Chiang FT, Juang JM. P1880Entropy-based algorithm for atrial fibrillation detection using photoplethysomgraphic signal recorded by a smart watch. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0628] [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: 11/14/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is the most common arrhythmia, and its paroxysmal and short duration nature makes its detection challenging. The most important limitation of current smartwatches is that patients need to touch to the sensor of the watch to record signals when patients feel discomfort. We developed a wearable smart watch and evaluated its accuracy to differentiate AF from sinus rhythm, which can continuously detecting heart rhythm without hand touching the device.
Methods and results
A wearable smart watch with PPG sensor and electrocardiogram (ECG) recording function was used for signal acquisition. A total 399 patients with a mean age of 67 years old were enrolled in the study, of whom 237 (81.5%) were male, and 101 have been diagnosed with AF. Pulse wave extracted from the green light spectrum of the signal and ECG were recorded for about 10 minutes for each patient. Pulse-to-pulse intervals (PPI) were automatically identified. All ECG signals were verified by two cardiologists. The correlation between R-to-R interval on ECG and PPI were excellent, with a correlation coefficient R >0.99 (p<0.05). An entropy-based algorithm which combined Shannon entropy of successive difference of PPI and sample entropy of PPI was used to discriminate between AF and sinus rhythm. This method had high sensitivity and specificity (96% and 98%, respectively), the area under receiver operating characteristic curve reached 0.98.
Conclusions
We developed an entropy-based algorithm for AF detection with PPG signal recorded by a wearable smart watch. This algorithm discriminates AF from sinus rhythm accurately. This advance in technology overcomes an important clinical obstacle and can increase the AF detection rate tremendously.
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Affiliation(s)
- J Y Chiang
- National Taiwan University Hospital, Internal medicine, Taipei, Taiwan
| | - C M Fu
- MediaTek Inc, Taipei, Taiwan
| | - Y C Lin
- MediaTek Inc, Taipei, Taiwan
| | - B W Ku
- MediaTek Inc, Taipei, Taiwan
| | - S U Hsu
- MediaTek Inc, Taipei, Taiwan
| | - C K Wu
- MediaTek Inc, Taipei, Taiwan
| | - L Y Lin
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - J L Lin
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - F T Chiang
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - J M Juang
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
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Li MY, Ye J, Huang ZY, Lin YC, Liu AH, Li LP, Chen J, Wang YP. [Clinical analysis of five cases of autism spectrum disorder complicated with epilepsy with chromosome copy number variation]. Zhonghua Yi Xue Za Zhi 2019; 99:2615-2618. [PMID: 31510723 DOI: 10.3760/cma.j.issn.0376-2491.2019.33.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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 explore the clinical features and genetic causes of autism spectrum disorder (ASD) patients with epilepsy. Methods: The clinical data of five patients with ASD and epilepsy admitted to Xuanwu Hospital between September 2017 and September 2018 were collected, including medical history, intelligence level, developmental level, physical examination, neuroimaging and electroencephalogram. High-throughput whole-genome sequencing was applied to five patients and their parents. Results: Of five patients, four were male and one was female. All five patients had mild mental retardation, and one patient had significant growth retardation and craniofacial deformity. The average epilepsy onset age was 6.3 years old (7 months to 16 years). The main epileptic type was tonic-clonic seizure with abnormal EEG results. All patients have a favorable response to anti-epileptic drugs. Whole-exome sequencing (WES) revealed copy number variation in all 5 patients. Among them, 3 cases were reported to be pathogenic, and 2 cases were not reported (chromosome 16p13.3 duplication and chromosome 21q22.3 deletion). Conclusions: The results of current study support that autism spectrum disorders with seizures is often associated with copy number variations, such as Williams-Beuren region duplication syndrome, chromosome 15q11.2 duplication syndrome and chromosome 15q11.2 deletion syndrome. We reported two novel copy number variations (chromosome 16p13.3 duplication and chromosome 21q22.3 deletion) in two autism spectrum disorder patients with epileptic seizures.
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Affiliation(s)
- M Y Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Abstract
We report a 49-year-old woman who presented with a hypertensive crisis and acute heart failure and reduced left ventricular systolic function. An abdominal ultrasonography revealed a huge lobulated heterogeneous mass at the lower pole of the right kidney and a mass over the left suprarenal area, which were further delineated by magnetic resonance imaging. The patient underwent laparoscopic right radical nephrectomy and left adrenalectomy. Histopathological analysis confirmed the diagnoses of clear cell renal cell carcinoma of the right kidney with metastasis to the lung; and atypical pheochromocytoma of the left adrenal gland. Target therapy was initiated, which resulted in stabilization of the patient's tumors and the recovery of her heart function. To avoid a delayed diagnosis and catastrophic outcome, clinicians should consider such rare causes of acute decompensated heart failure.
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Affiliation(s)
- H H Chen
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - S T Wu
- Division of Urology, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Y C Lin
- Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - C S Lin
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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19
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Leng XR, Ye J, Zhou QL, Qi XH, Dong YH, Zhang LP, Zhang YF, Wang YP, Li LP, Lin YC. [Clinical features and gene analysis of TBC1D24 gene mutation related early-onset focal myoclonic epilepsy]. Zhonghua Yi Xue Za Zhi 2018; 98:445-449. [PMID: 29429257 DOI: 10.3760/cma.j.issn.0376-2491.2018.06.010] [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 investigate the clinical features and genetic characteristics of patients with TBC1D24 gene mutation related early-onset focal myoclonic epilepsy. Methods: Clinical data of 3 patients with TBC1D24 gene mutation related early-onset focal myoclonic epilepsy of Xuanwu Hospital from November 2016 to June 2017 was collected and analyzed.Candidate gene mutations were screened by second generation sequencing. Results: Among the 3 patients, 1 was male and 2 were females.Seizure onset age was 4 months, 3 years and 5 years after birth respectively. Two patients had family history of epilepsy.They all had prolonged episodes of focal myoclonus. Two patients had mental retardation.Scalp electroencephalograms (EEG) was recorded in all 3 cases and myoclonic seizures were captured.The ictal EEGs were normal in all cases. In one patient, the ictal EEG of generalized seizure showed alpha rhythm originating from left fronto-central region. Brain magnetic resonance imaging (MRI) was normal in 2 patients. Abnormal signal was found bilaterally in cerebellum in 1 patient. The gene screening showed that two patients carried compound heterozygous mutation of TBC1D24 gene and one carried homozygous mutation, all of which were de novo mutations.All the patients were treated with multiple antiepileptic drugs (AEDs) and seizures were uncontrolled in 2 patients. One patient was followed up for 10 months without recurrence. Conclusions: TBC1D24 gene related early-onset focal myoclonic epilepsy is clinically characterized by early onset, prolonged focal myoclonus which relieved with sleep, mental retardation and poor response to AEDs.The interictal and ictal EEG usually show normal. Genetic analysis can assist in diagnosis and genetic counseling.
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Affiliation(s)
- X R Leng
- Department of Pediatrics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Lin YC, Chang YH. Poor appetite and long-term risk of falls among middle-aged and older adults: A longitudinal study. Eur J Public Health 2018. [DOI: 10.1093/eurpub/cky214.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- YC Lin
- Department of Chinese Medicine, China Medical University Hospital, Taichung City, Taiwan
| | - YH Chang
- Department of Public Health, China Medical University, Taichung City, Taiwan
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21
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Lin YC, Tsou CH, Hsueh WJ. Ultra-slow light in one-dimensional Cantor photonic crystals. Opt Lett 2018; 43:4120-4123. [PMID: 30160731 DOI: 10.1364/ol.43.004120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 07/26/2018] [Indexed: 06/08/2023]
Abstract
Ultra-slow light and complete transmission properties in one-dimensional Cantor photonic crystals are presented. In contrast to traditional dielectric photonic crystals, the proposed structure has large group delay, slower group velocity, and a high quality factor within the same layers and materials. This study shows that larger than 1 μs group delay and slower than 1 m/s group velocity are achieved in the fifth-order Cantor photonic crystal with 52.75 μm length. This ultra-slow-light structure is very promising for application in advanced slow-light devices. A high quality factor of 109 and multiband filters with complete transmission can also be obtained by using this approach.
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Petrov NV, Nalegaev SS, Belashov AV, Shevkunov IA, Putilin SE, Lin YC, Cheng CJ. Time-resolved inline digital holography for the study of noncollinear degenerate phase modulation. Opt Lett 2018; 43:3481-3484. [PMID: 30067690 DOI: 10.1364/ol.43.003481] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 06/08/2018] [Indexed: 06/08/2023]
Abstract
Recent works demonstrated that digital time-resolved holography is the prospective approach to study nonlinear light-matter interaction processes. In this Letter, we present a straightforward inline holographic approach for studying degenerate phase modulation induced by an inclined collimated pump beam in the isotropic sample. The method is based on a minimization of the difference between experimentally acquired data and simulated inline holograms obtained from a numerical model of pump-probe interaction in optical nonlinear media. A sophisticated experimental data processing algorithm is implemented to provide high sensitivity and a signal-to-noise ratio eligible for soft interaction with a collimated pump beam. The integral phase shift determined by our method can be used to estimate the nonlinear refractive index and the relaxation time for material with a low damage threshold. We validated our approach for the case of soda-lime and BK7 glasses.
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Chen W, Wang S, Zhang HX, Ruan D, Xia WG, Cui YY, Zheng CT, Lin YC. Optimization of dietary zinc for egg production and antioxidant capacity in Chinese egg-laying ducks fed a diet based on corn-wheat bran and soybean meal. Poult Sci 2018; 96:2336-2343. [PMID: 28339968 DOI: 10.3382/ps/pex032] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [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: 05/18/2016] [Accepted: 02/24/2017] [Indexed: 11/20/2022] Open
Abstract
The aim of this study was to evaluate the effect of zinc supplementation on productive performance and antioxidant status in laying ducks. Five-hundred-four laying ducks were divided into 7 treatments, each containing 6 replicates of 12 ducks. The ducks were caged individually and fed a corn-soybean meal and wheat bran basal diet (37 mg Zn/kg) or the basal diet supplemented with 15, 30, 45, 60, 75, or 90 mg Zn/kg (as zinc sulfate). During the early laying period of 10 d (daily egg production <80%), egg production, daily egg mass, and FCR increased quadratically with increasing dietary Zn levels (P < 0.05). The highest egg production and daily egg weight were obtained when 30 or 45 mg Zn/kg diet was supplemented, with lowest FCR. Similarly, the highest egg production and daily egg mass were observed in the group supplemented with 30 or 45 mg Zn/kg during the peak laying period of the subsequent 120 d (daily egg production >80%). Average egg weight and feed intake did not differ among the groups of graded Zn supplementation.The egg quality was not affected by dietary Zn, including the egg shape index, Haugh unit, yolk color score, egg composition, and shell thickness. The activities of plasma activities of total superoxide dismutase (T-SOD) and glutathione peroxidase (GSH-PX) increased in a quadratic manner (P < 0.001) with increasing supplemental Zn. Plasma concentration of Zn increased quadratically (P < 0.05) as dietary Zn increased. The hepatic activity of Cu/Zn-SOD and GSH-PX increased quadratically (P < 0.05) with increasing dietary Zn. Plasma Zn concentrations were positively correlated with activities of T-SOD (P < 0.05), and positively with plasma Cu. Plasma concentration of reduced glutathione was correlated with plasma Cu. In conclusion, supplementation of Zn at 30 or 45 mg/kg to a corn-wheat bran and soybean basal diet may improve the productive performance and enhance the antioxidant capacity.
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Affiliation(s)
- W Chen
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - S Wang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - H X Zhang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - D Ruan
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - W G Xia
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - Y Y Cui
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - C T Zheng
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - Y C Lin
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
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Shi YK, Wang L, Han BH, Li W, Yu P, Liu YP, Ding CM, Song X, Ma ZY, Ren XL, Feng JF, Zhang HL, Chen GY, Han XH, Wu N, Yao C, Song Y, Zhang SC, Song W, Liu XQ, Zhao SJ, Lin YC, Ye XQ, Li K, Shu YQ, Ding LM, Tan FL, Sun Y. First-line icotinib versus cisplatin/pemetrexed plus pemetrexed maintenance therapy for patients with advanced EGFR mutation-positive lung adenocarcinoma (CONVINCE): a phase 3, open-label, randomized study. Ann Oncol 2017; 28:2443-2450. [PMID: 28945850 DOI: 10.1093/annonc/mdx359] [Citation(s) in RCA: 181] [Impact Index Per Article: 25.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Icotinib has been previously shown to be non-inferior to gefitinib in non-selected advanced non-small-cell lung cancer patients when given as second- or further-line treatment. In this open-label, randomized, phase 3 CONVINCE trial, we assessed the efficacy and safety of first-line icotinib versus cisplatin/pemetrexed plus pemetrexed maintenance in lung adenocarcinoma patients with epidermal growth factor receptor (EGFR) mutation. PATIENTS AND METHODS Eligible participants were adults with stage IIIB/IV lung adenocarcinoma and exon 19/21 EGFR mutations. Participants were randomly allocated (1 : 1) to receive oral icotinib or 3-week cycle of cisplatin plus pemetrexed for up to four cycles; non-progressive patients after four cycles were maintained with pemetrexed until disease progression or intolerable toxicity. The primary end point was progression-free survival (PFS) assessed by independent response evaluation committee. Other end points included overall survival (OS) and safety. RESULTS Between January 2013 and August 2014, 296 patients were randomized, and 285 patients were treated (148 to icotinib, 137 to chemotherapy). Independent response evaluation committee-assessed PFS was significantly longer in the icotinib group (11.2 versus 7.9 months; hazard ratio, 0.61, 95% confidence interval 0.43-0.87; P = 0.006). No significant difference for OS was observed between treatments in the overall population or in EGFR-mutated subgroups (exon 19 Del/21 L858R). The most common grade 3 or 4 adverse events (AEs) in the icotinib group were rash (14.8%) and diarrhea (7.4%), compared with nausea (45.9%), vomiting (29.2%), and neutropenia (10.9%) in the chemotherapy group. AEs (79.1% versus 94.2%; P < 0.001) and treatment-related AEs (54.1% versus 90.5%; P < 0.001) were significantly fewer in the icotinib group than in the chemotherapy group. CONCLUSIONS First-line icotinib significantly improves PFS of advanced lung adenocarcinoma patients with EGFR mutation with a tolerable and manageable safety profile. Icotinib should be considered as a first-line treatment for this patient population.
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Affiliation(s)
- Y K Shi
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing.
| | - L Wang
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - B H Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai
| | - W Li
- Department of Oncology, The First Hospital Affiliated to Jilin University, Changchun
| | - P Yu
- Department of Lung Cancer Medical Oncology, Sichuan Cancer Hospital, Chengdu
| | - Y P Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang
| | - C M Ding
- Department of Respiratory Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang
| | - X Song
- Department of Respiratory Medicine, Shanxi Provincial Tumor Hospital, Taiyuan
| | - Z Y Ma
- Department of Oncology, Henan Cancer Hospital, Zhengzhou
| | - X L Ren
- Department of Respiratory Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an
| | - J F Feng
- Department of Oncology, Jiangsu Cancer Hospital, Nanjing
| | - H L Zhang
- Department of Oncology, Tangdu Hospital, The Fourth Military Medical University, Xi'an
| | - G Y Chen
- Department of Medical Oncology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin
| | - X H Han
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - N Wu
- Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - C Yao
- Department of Biostatistics, Peking University Clinical Research Institute, Beijing
| | - Y Song
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing
| | - S C Zhang
- Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing
| | - W Song
- Department of Radiology, Peking Union Medical College Hospital, Beijing
| | - X Q Liu
- Department of Pulmonary Oncology, The 307th Hospital of Chinese People's Liberation Army, Beijing
| | - S J Zhao
- Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Y C Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou
| | - X Q Ye
- Department of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang
| | - K Li
- Department of Thoracic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin
| | - Y Q Shu
- Department of Oncology, Jiangsu Provincial Hospital, Nanjing
| | - L M Ding
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - F L Tan
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Sun
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
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Gupta AA, Bell JA, Wang K, Forcina V, Tam S, Lin YC, Taback N, Mitchell L, Lewin JH. Evaluation of adolescents and young adults (AYA) attitudes towards participation in cancer clinical trials. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.10047] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10047 Background: Participation in clinical trials (CT) for AYA ( < 39 years) remain the lowest of any patient group with cancer. Little is known about the personal barriers to AYA accrual. The aim of this study was to explore AYA attitudes that influence CT participation. Methods: A mixed methods approach included 1) qualitative: interpretive descriptive methodology guided individual semi-structured interviews with 21 AYA for factors influencing CT enrollment and 2) quantitative: AYA and non-AYA (≥40) matched for histology completed Cancer Treatment subscale of Attitudes toward Cancer Trials Scales (ACTS-CT) (Schuber, 2008) and 9 supplementary questions formed from interview analysis. Differences between AYA and non-AYA cohorts were analyzed using the Mann-Whitney U test and ordered logistic regression models were constructed for prediction of the effect of baseline demographics. Results: The major themes influencing CT participation were: (1) family/peer group opinion (2) CT impact on daily/future life (e.g. school; starting a family) and (3) illness severity/psychological readiness for CT information. Surveys were distributed to 61 AYA (median age: 29 years (17-39)); 74 non-AYA (55 (40-88)). Compared with non-AYA, AYA perceived CT to be unsafe/more difficult (Personal Barrier/Safety domain; p = 0.01). AYA were also more concerned with CT interference in their long term goals (p = 0.04). Logistic regression identified participants who had previously been offered a CT (p = 0.01) or who spoke English as their first language (80% of cohort)(p = 0.01) reported less barriers to CT. There were no differences based on age in other domains (Personal Benefits; Personal/Social Value; Trust in CT). In all participants, differences were seen in the Personal Benefits domain if respondents had children (p = 0.05) or were currently working (p = 0.04). Conclusions: Age-related differences in attitudes towards CT suggest that tailored approaches to CT accrual of different patient groups may be warranted. Patient-centered delivery of information regarding CT, particularly for those in whom English is a second language and who are trial-naïve, may improve accrual and warrants further prospective, randomized study.
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Affiliation(s)
- Abha A. Gupta
- Department of Medical Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Jennifer A.H Bell
- Department of Bioethics, University Health Network, Toronto, ON, Canada
| | - Kate Wang
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Victoria Forcina
- Adolescent and Young Adult Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Seline Tam
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Yu-Chung Lin
- Department of Statistical Science, University of Toronto, Toronto, ON, Canada
| | - Nathan Taback
- Department of Statistical Science, University of Toronto, Toronto, ON, Canada
| | | | - Jeremy Howard Lewin
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
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Lin YC, Lin ZR, Tsai LW, Perevedentseva E, Karmenyan A, Cheng CL. Spectral Analysis of Nanodiamond-Berberine Complex Interaction with Living Cells for Nanoparticle Mediated Drug Delivery. JBPE 2017. [DOI: 10.18287/jbpe17.03.010305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Wang SY, Chen SC, Lin YC, Kuo YC, Chen JY, Kao CM. Acidification and sulfide formation control during reductive dechlorination of 1,2-dichloroethane in groundwater: Effectiveness and mechanistic study. Chemosphere 2016; 160:216-229. [PMID: 27376861 DOI: 10.1016/j.chemosphere.2016.06.066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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: 12/18/2015] [Revised: 03/21/2016] [Accepted: 06/17/2016] [Indexed: 06/06/2023]
Abstract
To enhance the reductive dechlorination of 1,2-dichloroethane (DCA) in groundwater, substrate injection may be required. However, substrate biodegradation causes groundwater acidification and sulfide production, which inhibits the bacteria responsible for DCA dechlorination and results in an odor problem. In the microcosm study, the effectiveness of the addition of ferrous sulfate (FS), desulfurization slag (DS), and nanoscale zero-valent iron (nZVI) on acidification and sulfide control was studied during reductive dechlorination of DCA, and the emulsified substrate (ES) was used as the substrate. Up to 94% of the sulfide was removed with FS and DS addition (0.25 wt%) (initial DCA concentration = 13.5 mg/L). FS and DS amendments resulted in the formation of a metal sulfide, which reduced the hydrogen sulfide concentration as well as the subsequent odor problem. Approximately 96% of the DCA was degraded under reductive dechlorination with nZVI or DS addition using ES as the substrate. In microcosms with nZVI or DS addition, the sulfide concentration was reduced to less than 15 μg/L. Acidification can be controlled via hydroxide ions production after nZVI oxidation and reaction of free CaO (released from DS) with water, which enhanced DCA dechlorination. The quantitative polymerase chain reaction results confirmed that the microcosms with nZVI added had the highest Dehalococcoides population (up to 2.5 × 10(8) gene copies/g soil) due to effective acidification control. The α-elimination mechanism was the main abiotic process, and reductive dechlorination dominated by Dehalococcides was the biotic mechanism that resulted in DCA removal. More than 22 bacterial species were detected, and dechlorinating bacteria existed in soils under alkaline and acidic conditions.
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Affiliation(s)
- S Y Wang
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - S C Chen
- Department of Life Sciences, National Central University, Chung-Li, Taiwan
| | - Y C Lin
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Y C Kuo
- Formosa Petrochemical Co., Kaohsiung, Taiwan
| | - J Y Chen
- Formosa Petrochemical Co., Kaohsiung, Taiwan
| | - C M Kao
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
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Tsai LW, Lin YC, Perevedentseva E, Lugovtsov A, Priezzhev A, Cheng CL. Nanodiamonds for Medical Applications: Interaction with Blood in Vitro and in Vivo. Int J Mol Sci 2016; 17:ijms17071111. [PMID: 27420044 PMCID: PMC4964486 DOI: 10.3390/ijms17071111] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 07/02/2016] [Accepted: 07/02/2016] [Indexed: 11/16/2022] Open
Abstract
Nanodiamonds (ND) have emerged to be a widely-discussed nanomaterial for their applications in biological studies and for medical diagnostics and treatment. The potentials have been successfully demonstrated in cellular and tissue models in vitro. For medical applications, further in vivo studies on various applications become important. One of the most challenging possibilities of ND biomedical application is controllable drug delivery and tracing. That usually assumes ND interaction with the blood system. In this work, we study ND interaction with rat blood and analyze how the ND surface modification and coating can optimize the ND interaction with the blood. It was found that adsorption of a low concentration of ND does not affect the oxygenation state of red blood cells (RBC). The obtained in vivo results are compared to the results of in vitro studies of nanodiamond interaction with rat and human blood and blood components, such as red blood cells and blood plasma. An in vivo animal model shows ND injected in blood attach to the RBC membrane and circulate with blood for more than 30 min; and ND do not stimulate an immune response by measurement of proinflammatory cytokine TNF-α with ND injected into mice via the caudal vein. The results further confirm nanodiamonds’ safety in organisms, as well as the possibility of their application without complicating the blood’s physiological conditions.
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Affiliation(s)
- Lin-Wei Tsai
- Department of Physics, National Dong Hwa University, Hualien 97401, Taiwan.
| | - Yu-Chung Lin
- Department of Physics, National Dong Hwa University, Hualien 97401, Taiwan.
| | | | - Andrei Lugovtsov
- International Laser Center, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
| | - Alexander Priezzhev
- International Laser Center, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
- Physics Department, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
| | - Chia-Liang Cheng
- Department of Physics, National Dong Hwa University, Hualien 97401, Taiwan.
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Luo HY, Li YH, Wang W, Wang ZQ, Yuan X, Ma D, Wang FH, Zhang DS, Lin DR, Lin YC, Jia J, Hu XH, Peng JW, Xu RH. Single-agent capecitabine as maintenance therapy after induction of XELOX (or FOLFOX) in first-line treatment of metastatic colorectal cancer: randomized clinical trial of efficacy and safety. Ann Oncol 2016; 27:1074-1081. [PMID: 26940686 DOI: 10.1093/annonc/mdw101] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [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: 01/26/2016] [Accepted: 02/17/2016] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The optimal strategy of maintenance therapy for patients with mCRC is controversial. This study was to evaluate the efficacy and safety of maintenance therapy with capecitabine versus observation following inductive chemotherapy in patients with metastatic colorectal cancer. PATIENTS AND METHODS In this randomized, open-label, multicenter, phase III trial, patients who received 18-24 weeks of induction chemotherapy with XELOX or FOLFOX and achieved disease control were randomly assigned centrally (1:1) to receive maintenance therapy of capecitabine or only observation until disease progression. The primary end point was progression-free survival (PFS) from randomization; the secondary end points included overall survival (OS), PFS from induction treatment (PFS2) and safety. Analyses were done by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT02027363. RESULTS Between 30 July 2010 and 15 September 2013, 274 patients were enrolled in the study from 11 sites in China and randomly assigned to maintenance group (n = 136) or observation group (n = 138). Clinicopathological characteristics were balanced in two groups. The median follow-up time from randomization was 29.0 months [interquartile range (IQR) 21-36 months]. The primary end point of PFS was statistically significantly longer in capecitabine maintenance group than in observation group {6.43 [95% confidence interval (CI) 5.26-7.71] versus 3.43 (2.83-4.16) months, HR 0.54 (0.42-0.70), P < 0.001}. The median OS of capecitabine maintenance group was longer than that of observation group, but not statistically significant [25.63 (22.46-27.80) versus 23.30 (19.68-26.92) months; HR 0.85 (0.64-1.11), P = 0.2247]. Similar safety profiles were observed in both arms. The most common grade 3 or 4 toxicities in capecitabine maintenance group versus observation group were neutropenia, hand-foot syndrome, and mucositis. CONCLUSIONS Maintenance therapy with a single agent of capecitabine can be considered an appropriate option following the induction of XELOX or FOLFOX in mCRC patients with acceptable toxicities. CLINICAL TRIALS NUMBER NCT02027363.
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Affiliation(s)
- H Y Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - Y H Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - W Wang
- Department of Medical Oncology, The First People's Hospital of Foshan, Guangzhou
| | - Z Q Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - X Yuan
- Department of Medical Oncology, Huizhou Central Hospital, Huizhou
| | - D Ma
- Department of Medical Oncology, Guangdong General Hospital, Guangzhou
| | - F H Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - D S Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - D R Lin
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen
| | - Y C Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou
| | - J Jia
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan
| | - X H Hu
- Department of Medical Oncology, Tumor Hospital of Guangxi Medical University, Nanning
| | - J W Peng
- Department of Medical Oncology, Zhongshan People's Hospital, Zhongshan, China
| | - R H Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou.
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Hsiao J, Yuan TY, Tsai MS, Lu CY, Lin YC, Lee ML, Lin SW, Chang FC, Liu Pimentel H, Olive C, Coito C, Shen G, Young M, Thorne T, Lawrence M, Magistri M, Faghihi MA, Khorkova O, Wahlestedt C. Upregulation of Haploinsufficient Gene Expression in the Brain by Targeting a Long Non-coding RNA Improves Seizure Phenotype in a Model of Dravet Syndrome. EBioMedicine 2016; 9:257-277. [PMID: 27333023 PMCID: PMC4972487 DOI: 10.1016/j.ebiom.2016.05.011] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 05/02/2016] [Accepted: 05/09/2016] [Indexed: 02/07/2023] Open
Abstract
Dravet syndrome is a devastating genetic brain disorder caused by heterozygous loss-of-function mutation in the voltage-gated sodium channel gene SCN1A. There are currently no treatments, but the upregulation of SCN1A healthy allele represents an appealing therapeutic strategy. In this study we identified a novel, evolutionary conserved mechanism controlling the expression of SCN1A that is mediated by an antisense non-coding RNA (SCN1ANAT). Using oligonucleotide-based compounds (AntagoNATs) targeting SCN1ANAT we were able to induce specific upregulation of SCN1A both in vitro and in vivo, in the brain of Dravet knock-in mouse model and a non-human primate. AntagoNAT-mediated upregulation of Scn1a in postnatal Dravet mice led to significant improvements in seizure phenotype and excitability of hippocampal interneurons. These results further elucidate the pathophysiology of Dravet syndrome and outline a possible new approach for the treatment of this and other genetic disorders with similar etiology.
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Affiliation(s)
- J Hsiao
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - T Y Yuan
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M S Tsai
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - C Y Lu
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan
| | - Y C Lin
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M L Lee
- Dep. Clinical Laboratory Science and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - S W Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung-Shan S. Rd., Taipei 100, Taiwan; Center for Genomic Medicine, National Taiwan University, No. 7, Chung-Shan S. Rd., Taipei 100, Taiwan
| | - F C Chang
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan; Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan; Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - H Liu Pimentel
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Olive
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Coito
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - G Shen
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M Young
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - T Thorne
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M Lawrence
- RxGen, 100 Deepwood Drive, Hamden, CT 06517, USA
| | - M Magistri
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA
| | - M A Faghihi
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA
| | - O Khorkova
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Wahlestedt
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA.
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Lin YC, Hu WY. P-73 Develop a culturally oriented advance care planning intervention model for community older adults in taiwan – a study protocol. BMJ Support Palliat Care 2015. [DOI: 10.1136/bmjspcare-2015-000978.203] [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: 11/03/2022]
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Wu MS, Sun DS, Lin YC, Cheng CL, Hung SC, Chen PK, Yang JH, Chang HH. Nanodiamonds protect skin from ultraviolet B-induced damage in mice. J Nanobiotechnology 2015; 13:35. [PMID: 25947194 PMCID: PMC4432518 DOI: 10.1186/s12951-015-0094-4] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 04/29/2015] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Solar ultraviolet (UV) radiation causes various deleterious effects, and UV blockage is recommended for avoiding sunburn. Nanosized titanium dioxide and zinc oxide offer effective protection and enhance cosmetic appearance but entail health concerns regarding their photocatalytic activity, which generates reactive oxygen species. These concerns are absent in nanodiamonds (NDs). Among the UV wavelengths in sunlight, UVB irradiation primarily threatens human health. RESULTS The efficacy and safety of NDs in UVB protection were evaluated using cell cultures and mouse models. We determined that 2 mg/cm(2) of NDs efficiently reduced over 95% of UVB radiation. Direct UVB exposure caused cell death of cultured keratinocyte, fibroblasts and skin damage in mice. By contrast, ND-shielding significantly protected the aforementioned pathogenic alterations in both cell cultures and mouse models. CONCLUSIONS NDs are feasible and safe materials for preventing UVB-induced skin damage.
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Affiliation(s)
- Meng-Si Wu
- Division of Plastic Surgery, Department of Surgery, Buddhist Tzu Chi General Hospital, No. 707 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Department of Molecular Biology and Human Genetics, Tzu-Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
| | - Der-Shan Sun
- Department of Molecular Biology and Human Genetics, Tzu-Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Institute of Medical Sciences, School of Medicine, Tzu Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
| | - Yu-Chung Lin
- Department of Physics, National Dong Hwa University, No. 1 Sec. 2, University Road, Shoufeng Township, Hualien County, 974, Taiwan.
| | - Chia-Liang Cheng
- Department of Physics, National Dong Hwa University, No. 1 Sec. 2, University Road, Shoufeng Township, Hualien County, 974, Taiwan.
- Nanotechnology Research Center, National Dong Hwa University, No. 1 Sec. 2, University Road, Shoufeng Township, Hualien County, 974, Taiwan.
| | - Shih-Che Hung
- Institute of Medical Sciences, School of Medicine, Tzu Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
| | - Po-Kong Chen
- Department of Molecular Biology and Human Genetics, Tzu-Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
| | - Jen-Hung Yang
- Department of Biochemistry, School of Medicine, Tzu Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Institute of Medical Sciences, School of Medicine, Tzu Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Department of Dermatology, Buddhist Tzu Chi General Hospital, No. 707 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
| | - Hsin-Hou Chang
- Department of Molecular Biology and Human Genetics, Tzu-Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Research Center of Nanobiomedical Science, Tzu-Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
- Nanotechnology Research Center, National Dong Hwa University, No. 1 Sec. 2, University Road, Shoufeng Township, Hualien County, 974, Taiwan.
- Institute of Medical Sciences, School of Medicine, Tzu Chi University, No. 701 Sec. 3, Chung-Yang Rd, Hualien City, Hualien County, 970, Taiwan.
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Lin YC, Perevedentseva E, Cheng CL. Raman spectroscopic study on the excystation process in a single unicellular organism amoeba (Acanthamoeba polyphaga). J Biomed Opt 2015; 20:51042. [PMID: 25928386 DOI: 10.1117/1.jbo.20.5.051042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Accepted: 04/02/2015] [Indexed: 06/04/2023]
Abstract
An in vivo Raman spectroscopic study of amoeba (Acanthamoeba polyphaga) is presented. The changes of the spectra during the amoeba cyst activation and excystation are analyzed. The spectra show the changes of the relative intensities of bands corresponding to protein, lipid, and carotenoid components during cyst activation. The presence of carotenoids in the amoeba is observed via characteristic Raman bands. These signals in the Raman spectra are intense in cysts but decrease in intensity with cyst activation and exhibit a correlation with the life cycle of amoeba. This work demonstrates the feasibility of using Raman spectroscopy for the detection of single amoeba microorganisms in vivo and for the analysis of the amoeba life activity. The information obtained may have implications for the estimation of epidemiological situations and for the diagnostics and prognosis of the development of amoebic inflammations.
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Affiliation(s)
- Yu-Chung Lin
- National Dong Hwa University, Department of Physics, 1, Sec. 2, Da-Hsueh Road, Shoufeng, Hualien 97401, Taiwan
| | - Elena Perevedentseva
- National Dong Hwa University, Department of Physics, 1, Sec. 2, Da-Hsueh Road, Shoufeng, Hualien 97401, TaiwanbP.N. Lebedev Physics Institute, Russian Academy of Science, Moscow 119991, Russia
| | - Chia-Liang Cheng
- National Dong Hwa University, Department of Physics, 1, Sec. 2, Da-Hsueh Road, Shoufeng, Hualien 97401, Taiwan
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Pi TW, Lin YH, Fanchiang YT, Chiang TH, Wei CH, Lin YC, Wertheim GK, Kwo J, Hong M. In-situ atomic layer deposition of tri-methylaluminum and water on pristine single-crystal (In)GaAs surfaces: electronic and electric structures. Nanotechnology 2015; 26:164001. [PMID: 25824203 DOI: 10.1088/0957-4484/26/16/164001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The electronic structure of single-crystal (In)GaAs deposited with tri-methylaluminum (TMA) and water via atomic layer deposition (ALD) is presented with high-resolution synchrotron radiation core-level photoemission and capacitance-voltage (CV) characteristics. The interaction of the precursor atoms with (In)GaAs is confined at the topmost surface layer. The Ga-vacant site on the GaAs(111)A-2 × 2 surface is filled with Al, thereby effectively passivating the As dangling bonds. The As-As dimers on the GaAs(001)-2 × 4 surface are entirely passivated by one cycle of TMA and water. The presumed layerwise deposition fails to happen in GaAs(001)-4 × 6. In In0.20Ga0.80As(001)-2 × 4, the edge row As atoms are partially bonded with the Al, and one released methyl then bonds with the In. It is suggested that the unpassivated surface and subsurface atoms cause large frequency dispersions in CV characteristics under the gate bias. We also found that the (In)GaAs surface is immune to water in ALD. However, the momentary exposure of it to air (less than one minute) introduces significant signals of native oxides. This indicates the necessity of in situ works of high κ/(In)GaAs-related experiments in order to know the precise interfacial atomic bonding and thus know the electronic characteristics. The electric CV measurements of the ALD-Al2O3 on these (In)GaAs surfaces are correlated with their electronic properties.
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Affiliation(s)
- T W Pi
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
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Lin YC, Su KW, Huang KF, Chen YF. Pattern formation of second harmonic conical waves in a nonlinear medium with extended defect structure. Opt Express 2014; 22:27859-27868. [PMID: 25402028 DOI: 10.1364/oe.22.027859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We experimentally demonstrate the propagation of the conical second harmonic fields generated from a nonlinear crystal with extended defects to investigate their pattern formation. The generated second harmonic waves are found to be the interference of multiple Bessel-like beams that originate from distinct longitudinal layers inside the crystal. To reconstruct the experimental results, we model the individual Bessel-like beam to be the superposition of an ensemble of identical decentered Gaussian waves with random phases. We present that the randomness of the phases leads the Bessel-like beams to show wave profiles with different extent of localization. Moreover, we use the coherent superposition of the developed wave functions with a phase factor to manifest the interference of multiple Bessel-like beams. The relative phases among the Bessel-like beams are shown to be closely related to the near and far-field patterns. With the experimental observations and the theoretical model, the relative phases are decided to successfully reconstruct the propagation characteristics of the multiple Bessel-like beams.
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36
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An FP, Balantekin AB, Band HR, Beriguete W, Bishai M, Blyth S, Butorov I, Cao GF, Cao J, Chan YL, Chang JF, Chang LC, Chang Y, Chasman C, Chen H, Chen QY, Chen SM, Chen X, Chen X, Chen YX, Chen Y, Cheng YP, Cherwinka JJ, Chu MC, Cummings JP, de Arcos J, Deng ZY, Ding YY, Diwan MV, Draeger E, Du XF, Dwyer DA, Edwards WR, Ely SR, Fu JY, Ge LQ, Gill R, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guan MY, Guo XH, Hackenburg RW, Han GH, Hans S, He M, Heeger KM, Heng YK, Hinrichs P, Hor YK, Hsiung YB, Hu BZ, Hu LM, Hu LJ, Hu T, Hu W, Huang EC, Huang H, Huang XT, Huber P, Hussain G, Isvan Z, Jaffe DE, Jaffke P, Jen KL, Jetter S, Ji XP, Ji XL, Jiang HJ, Jiao JB, Johnson RA, Kang L, Kettell SH, Kramer M, Kwan KK, Kwok MW, Kwok T, Lai WC, Lau K, Lebanowski L, Lee J, Lei RT, Leitner R, Leung A, Leung JKC, Lewis CA, Li DJ, Li F, Li GS, Li QJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin PY, Lin SK, Lin YC, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu DW, Liu H, Liu JL, Liu JC, Liu SS, Liu YB, Lu C, Lu HQ, Luk KB, Ma QM, Ma XY, Ma XB, Ma YQ, McDonald KT, McFarlane MC, McKeown RD, Meng Y, Mitchell I, Monari Kebwaro J, Nakajima Y, Napolitano J, Naumov D, Naumova E, Nemchenok I, Ngai HY, Ning Z, Ochoa-Ricoux JP, Olshevski A, Patton S, Pec V, Peng JC, Piilonen LE, Pinsky L, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren B, Ren J, Rosero R, Roskovec B, Ruan XC, Shao BB, Steiner H, Sun GX, Sun JL, Tam YH, Tang X, Themann H, Tsang KV, Tsang RHM, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang LS, Wang LY, Wang M, Wang NY, Wang RG, Wang W, Wang WW, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Webber DM, Wei HY, Wei YD, Wen LJ, Whisnant K, White CG, Whitehead L, Wise T, Wong HLH, Wong SCF, Worcester E, Wu Q, Xia DM, Xia JK, Xia X, Xing ZZ, Xu JY, Xu JL, Xu J, Xu Y, Xue T, Yan J, Yang CC, Yang L, Yang MS, Yang MT, Ye M, Yeh M, Yeh YS, Young BL, Yu GY, Yu JY, Yu ZY, Zang SL, Zeng B, Zhan L, Zhang C, Zhang FH, Zhang JW, Zhang QM, Zhang Q, Zhang SH, Zhang YC, Zhang YM, Zhang YH, Zhang YX, Zhang ZJ, Zhang ZY, Zhang ZP, Zhao J, Zhao QW, Zhao Y, Zhao YB, Zheng L, Zhong WL, Zhou L, Zhou ZY, Zhuang HL, Zou JH. Search for a light sterile neutrino at Daya Bay. Phys Rev Lett 2014; 113:141802. [PMID: 25325631 DOI: 10.1103/physrevlett.113.141802] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Indexed: 06/04/2023]
Abstract
A search for light sterile neutrino mixing was performed with the first 217 days of data from the Daya Bay Reactor Antineutrino Experiment. The experiment's unique configuration of multiple baselines from six 2.9 GW(th) nuclear reactors to six antineutrino detectors deployed in two near (effective baselines 512 m and 561 m) and one far (1579 m) underground experimental halls makes it possible to test for oscillations to a fourth (sterile) neutrino in the 10(-3) eV(2)<|Δm(41)(2) |< 0.3 eV(2) range. The relative spectral distortion due to the disappearance of electron antineutrinos was found to be consistent with that of the three-flavor oscillation model. The derived limits on sin(2) 2θ(14) cover the 10(-3) eV(2) ≲ |Δm(41)(2)| ≲ 0.1 eV(2) region, which was largely unexplored.
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Affiliation(s)
- F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | | | - H R Band
- University of Wisconsin, Madison, Wisconsin, USA
| | - W Beriguete
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York, USA
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - I Butorov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - Y L Chan
- Chinese University of Hong Kong, Hong Kong
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - L C Chang
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - Y Chang
- National United University, Miao-Li
| | - C Chasman
- Brookhaven National Laboratory, Upton, New York, USA
| | - H Chen
- Institute of High Energy Physics, Beijing
| | | | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X Chen
- Chinese University of Hong Kong, Hong Kong
| | - X Chen
- Institute of High Energy Physics, Beijing
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
| | - Y P Cheng
- Institute of High Energy Physics, Beijing
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - J de Arcos
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Z Y Deng
- Institute of High Energy Physics, Beijing
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York, USA
| | - E Draeger
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - X F Du
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - S R Ely
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - J Y Fu
- Institute of High Energy Physics, Beijing
| | - L Q Ge
- Chengdu University of Technology, Chengdu
| | - R Gill
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - M Grassi
- Institute of High Energy Physics, Beijing
| | - W Q Gu
- Shanghai Jiao Tong University, Shanghai
| | - M Y Guan
- Institute of High Energy Physics, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | | | - G H Han
- College of William and Mary, Williamsburg, Virginia, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- University of Wisconsin, Madison, Wisconsin, USA and Department of Physics, Yale University, New Haven, Connecticut, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - P Hinrichs
- University of Wisconsin, Madison, Wisconsin, USA
| | - Y K Hor
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - L M Hu
- Brookhaven National Laboratory, Upton, New York, USA
| | - L J Hu
- Beijing Normal University, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - W Hu
- Institute of High Energy Physics, Beijing
| | - E C Huang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - H Huang
- China Institute of Atomic Energy, Beijing
| | | | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - G Hussain
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Isvan
- Brookhaven National Laboratory, Upton, New York, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York, USA
| | - P Jaffke
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Jetter
- Institute of High Energy Physics, Beijing
| | - X P Ji
- School of Physics, Nankai University, Tianjin
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - H J Jiang
- Chengdu University of Technology, Chengdu
| | | | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - K K Kwan
- Chinese University of Hong Kong, Hong Kong
| | - M W Kwok
- Chinese University of Hong Kong, Hong Kong
| | - T Kwok
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W C Lai
- Chengdu University of Technology, Chengdu
| | - K Lau
- Department of Physics, University of Houston, Houston, Texas, USA
| | - L Lebanowski
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - A Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - C A Lewis
- University of Wisconsin, Madison, Wisconsin, USA
| | - D J Li
- University of Science and Technology of China, Hefei
| | - F Li
- Institute of High Energy Physics, Beijing and Chengdu University of Technology, Chengdu
| | - G S Li
- Shanghai Jiao Tong University, Shanghai
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - P Y Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S K Lin
- Department of Physics, University of Houston, Houston, Texas, USA
| | - Y C Lin
- Chengdu University of Technology, Chengdu
| | - J J Ling
- Brookhaven National Laboratory, Upton, New York, USA and Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York, USA
| | - B R Littlejohn
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
| | - D W Liu
- Department of Physics, University of Houston, Houston, Texas, USA
| | - H Liu
- Department of Physics, University of Houston, Houston, Texas, USA
| | - J L Liu
- Shanghai Jiao Tong University, Shanghai
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - S S Liu
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Y B Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - Q M Ma
- Institute of High Energy Physics, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - X B Ma
- North China Electric Power University, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey, USA
| | | | - R D McKeown
- College of William and Mary, Williamsburg, Virginia, USA and California Institute of Technology, Pasadena, California, USA
| | - Y Meng
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - I Mitchell
- Department of Physics, University of Houston, Houston, Texas, USA
| | | | - Y Nakajima
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - I Nemchenok
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H Y Ngai
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Z Ning
- Institute of High Energy Physics, Beijing
| | - J P Ochoa-Ricoux
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - A Olshevski
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - V Pec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - L E Piilonen
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - L Pinsky
- Department of Physics, University of Houston, Houston, Texas, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York, USA
| | - N Raper
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - B Ren
- Dongguan University of Technology, Dongguan
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York, USA
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B B Shao
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - G X Sun
- Institute of High Energy Physics, Beijing
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - Y H Tam
- Chinese University of Hong Kong, Hong Kong
| | - X Tang
- Institute of High Energy Physics, Beijing
| | - H Themann
- Brookhaven National Laboratory, Upton, New York, USA
| | - K V Tsang
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - R H M Tsang
- California Institute of Technology, Pasadena, California, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - L S Wang
- Institute of High Energy Physics, Beijing
| | - L Y Wang
- Institute of High Energy Physics, Beijing
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- College of William and Mary, Williamsburg, Virginia, USA and Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - D M Webber
- University of Wisconsin, Madison, Wisconsin, USA
| | - H Y Wei
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y D Wei
- Dongguan University of Technology, Dongguan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - L Whitehead
- Department of Physics, University of Houston, Houston, Texas, USA
| | - T Wise
- University of Wisconsin, Madison, Wisconsin, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - S C F Wong
- Chinese University of Hong Kong, Hong Kong
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York, USA
| | - Q Wu
- Shandong University, Jinan
| | - D M Xia
- Institute of High Energy Physics, Beijing
| | - J K Xia
- Institute of High Energy Physics, Beijing
| | - X Xia
- Shandong University, Jinan
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J Y Xu
- Chinese University of Hong Kong, Hong Kong
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - J Xu
- Beijing Normal University, Beijing
| | - Y Xu
- School of Physics, Nankai University, Tianjin
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Yan
- Xi'an Jiaotong University, Xi'an
| | - C C Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - M S Yang
- Institute of High Energy Physics, Beijing
| | | | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York, USA
| | - Y S Yeh
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - B L Young
- Iowa State University, Ames, Iowa, USA
| | - G Y Yu
- Nanjing University, Nanjing
| | - J Y Yu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | | | - B Zeng
- Chengdu University of Technology, Chengdu
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York, USA
| | - F H Zhang
- Institute of High Energy Physics, Beijing
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | | | - Q Zhang
- Chengdu University of Technology, Chengdu
| | - S H Zhang
- Institute of High Energy Physics, Beijing
| | - Y C Zhang
- University of Science and Technology of China, Hefei
| | - Y M Zhang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y H Zhang
- Institute of High Energy Physics, Beijing
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - Q W Zhao
- Institute of High Energy Physics, Beijing
| | - Y Zhao
- North China Electric Power University, Beijing and College of William and Mary, Williamsburg, Virginia, USA
| | - Y B Zhao
- Institute of High Energy Physics, Beijing
| | - L Zheng
- University of Science and Technology of China, Hefei
| | - W L Zhong
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - Z Y Zhou
- China Institute of Atomic Energy, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Tanigawa S, Lee CH, Lin CS, Ku CC, Hasegawa H, Qin S, Kawahara A, Korenori Y, Miyamori K, Noguchi M, Lee LH, Lin YC, Lin CLS, Nakamura Y, Jin C, Yamaguchi N, Eckner R, Hou DX, Yokoyama KK. Erratum: Jun dimerization protein 2 is a critical component of the Nrf2/MafK complex regulating the response to ROS homeostasis. Cell Death Dis 2014. [PMCID: PMC4123110 DOI: 10.1038/cddis.2014.322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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38
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An FP, Balantekin AB, Band HR, Beriguete W, Bishai M, Blyth S, Brown RL, Butorov I, Cao GF, Cao J, Carr R, Chan YL, Chang JF, Chang Y, Chasman C, Chen HS, Chen HY, Chen SJ, Chen SM, Chen XC, Chen XH, Chen Y, Chen YX, Cheng YP, Cherwinka JJ, Chu MC, Cummings JP, de Arcos J, Deng ZY, Ding YY, Diwan MV, Draeger E, Du XF, Dwyer DA, Edwards WR, Ely SR, Fu JY, Ge LQ, Gill R, Gonchar M, Gong GH, Gong H, Gornushkin YA, Gu WQ, Guan MY, Guo XH, Hackenburg RW, Hahn RL, Han GH, Hans S, He M, Heeger KM, Heng YK, Hinrichs P, Hor Y, Hsiung YB, Hu BZ, Hu LJ, Hu LM, Hu T, Hu W, Huang EC, Huang HX, Huang HZ, Huang XT, Huber P, Hussain G, Isvan Z, Jaffe DE, Jaffke P, Jetter S, Ji XL, Ji XP, Jiang HJ, Jiao JB, Johnson RA, Kang L, Kettell SH, Kramer M, Kwan KK, Kwok MW, Kwok T, Lai WC, Lai WH, Lau K, Lebanowski L, Lee J, Lei RT, Leitner R, Leung A, Leung JKC, Lewis CA, Li DJ, Li F, Li GS, Li QJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin SK, Lin YC, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu DW, Liu H, Liu JC, Liu JL, Liu SS, Liu YB, Lu C, Lu HQ, Luk KB, Ma QM, Ma XB, Ma XY, Ma YQ, McDonald KT, McFarlane MC, McKeown RD, Meng Y, Mitchell I, Nakajima Y, Napolitano J, Naumov D, Naumova E, Nemchenok I, Ngai HY, Ngai WK, Ning Z, Ochoa-Ricoux JP, Olshevski A, Patton S, Pec V, Peng JC, Piilonen LE, Pinsky L, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren B, Ren J, Rosero R, Roskovec B, Ruan XC, Shao BB, Steiner H, Sun GX, Sun JL, Tam YH, Tanaka HK, Tang X, Themann H, Trentalange S, Tsai O, Tsang KV, Tsang RHM, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang LS, Wang LY, Wang LZ, Wang M, Wang NY, Wang RG, Wang W, Wang WW, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Webber DM, Wei H, Wei YD, Wen LJ, Whisnant K, White CG, Whitehead L, Wise T, Wong HLH, Wong SCF, Worcester E, Wu Q, Xia DM, Xia JK, Xia X, Xing ZZ, Xu J, Xu JL, Xu JY, Xu Y, Xue T, Yan J, Yang CG, Yang L, Yang MS, Ye M, Yeh M, Yeh YS, Young BL, Yu GY, Yu JY, Yu ZY, Zang SL, Zhan L, Zhang C, Zhang FH, Zhang JW, Zhang QM, Zhang SH, Zhang YC, Zhang YH, Zhang YM, Zhang YX, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao QW, Zhao YB, Zheng L, Zhong WL, Zhou L, Zhou ZY, Zhuang HL, Zou JH. Spectral measurement of electron antineutrino oscillation amplitude and frequency at Daya Bay. Phys Rev Lett 2014; 112:061801. [PMID: 24580686 DOI: 10.1103/physrevlett.112.061801] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Indexed: 06/03/2023]
Abstract
A measurement of the energy dependence of antineutrino disappearance at the Daya Bay reactor neutrino experiment is reported. Electron antineutrinos (ν¯(e)) from six 2.9 GW(th) reactors were detected with six detectors deployed in two near (effective baselines 512 and 561 m) and one far (1579 m) underground experimental halls. Using 217 days of data, 41 589 (203 809 and 92 912) antineutrino candidates were detected in the far hall (near halls). An improved measurement of the oscillation amplitude sin(2)2θ(13)=0.090(-0.009)(+0.008) and the first direct measurement of the ν¯(e) mass-squared difference |Δm(ee)2|=(2.59(-0.20)(+0.19))×10(-3) eV2 is obtained using the observed ν¯(e) rates and energy spectra in a three-neutrino framework. This value of |Δm(ee)2| is consistent with |Δm(μμ)2| measured by muon neutrino disappearance, supporting the three-flavor oscillation model.
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Affiliation(s)
- F P An
- Institute of High Energy Physics, Beijing and East China University of Science and Technology, Shanghai
| | | | - H R Band
- University of Wisconsin, Madison, Wisconsin
| | - W Beriguete
- Brookhaven National Laboratory, Upton, New York
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - R L Brown
- Brookhaven National Laboratory, Upton, New York
| | - I Butorov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - R Carr
- California Institute of Technology, Pasadena, California
| | - Y L Chan
- Chinese University of Hong Kong, Hong Kong
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - C Chasman
- Brookhaven National Laboratory, Upton, New York
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | | | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X C Chen
- Chinese University of Hong Kong, Hong Kong
| | - X H Chen
- Institute of High Energy Physics, Beijing
| | - Y Chen
- Shenzhen Univeristy, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Y P Cheng
- Institute of High Energy Physics, Beijing
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - J de Arcos
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - Z Y Deng
- Institute of High Energy Physics, Beijing
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York
| | - E Draeger
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - X F Du
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - W R Edwards
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - S R Ely
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - J Y Fu
- Institute of High Energy Physics, Beijing
| | - L Q Ge
- Chengdu University of Technology, Chengdu
| | - R Gill
- Brookhaven National Laboratory, Upton, New York
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y A Gornushkin
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W Q Gu
- Shanghai Jiao Tong University, Shanghai
| | - M Y Guan
- Institute of High Energy Physics, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | | | - R L Hahn
- Brookhaven National Laboratory, Upton, New York
| | - G H Han
- College of William and Mary, Williamsburg, Virginia
| | - S Hans
- Brookhaven National Laboratory, Upton, New York
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Department of Physics, Yale University, New Haven, Connecticut
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - P Hinrichs
- University of Wisconsin, Madison, Wisconsin
| | - Yk Hor
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - L J Hu
- Beijing Normal University, Beijing
| | - L M Hu
- Brookhaven National Laboratory, Upton, New York
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - W Hu
- Institute of High Energy Physics, Beijing
| | - E C Huang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - H Z Huang
- University of California, Los Angeles, California
| | | | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - G Hussain
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Isvan
- Brookhaven National Laboratory, Upton, New York
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York
| | - P Jaffke
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - S Jetter
- Institute of High Energy Physics, Beijing
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- School of Physics, Nankai University, Tianjin
| | - H J Jiang
- Chengdu University of Technology, Chengdu
| | | | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - K K Kwan
- Chinese University of Hong Kong, Hong Kong
| | - M W Kwok
- Chinese University of Hong Kong, Hong Kong
| | - T Kwok
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W C Lai
- Chengdu University of Technology, Chengdu
| | - W H Lai
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - K Lau
- Department of Physics, University of Houston, Houston, Texas
| | - L Lebanowski
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - A Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - C A Lewis
- University of Wisconsin, Madison, Wisconsin
| | - D J Li
- University of Science and Technology of China, Hefei
| | - F Li
- Institute of High Energy Physics, Beijing
| | - G S Li
- Shanghai Jiao Tong University, Shanghai
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S K Lin
- Department of Physics, University of Houston, Houston, Texas
| | - Y C Lin
- Chengdu University of Technology, Chengdu
| | - J J Ling
- Brookhaven National Laboratory, Upton, New York
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | | | - B R Littlejohn
- Department of Physics, University of Cincinnati, Cincinnati, Ohio
| | - D W Liu
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois and Department of Physics, University of Houston, Houston, Texas
| | - H Liu
- Department of Physics, University of Houston, Houston, Texas
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Shanghai Jiao Tong University, Shanghai
| | - S S Liu
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Y B Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - Q M Ma
- Institute of High Energy Physics, Beijing
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey
| | | | - R D McKeown
- College of William and Mary, Williamsburg, Virginia
| | - Y Meng
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - I Mitchell
- Department of Physics, University of Houston, Houston, Texas
| | - Y Nakajima
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - J Napolitano
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - I Nemchenok
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H Y Ngai
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W K Ngai
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Z Ning
- Institute of High Energy Physics, Beijing
| | | | - A Olshevski
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - V Pec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - L E Piilonen
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - L Pinsky
- Department of Physics, University of Houston, Houston, Texas
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York and California Institute of Technology, Pasadena, California
| | - N Raper
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York
| | - B Ren
- Dongguan University of Technology, Dongguan
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B B Shao
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - G X Sun
- Institute of High Energy Physics, Beijing
| | - J L Sun
- China Guangdong Nuclear Power Group, Shenzhen
| | - Y H Tam
- Chinese University of Hong Kong, Hong Kong
| | - H K Tanaka
- Brookhaven National Laboratory, Upton, New York
| | - X Tang
- Institute of High Energy Physics, Beijing
| | - H Themann
- Brookhaven National Laboratory, Upton, New York
| | | | - O Tsai
- University of California, Los Angeles, California
| | - K V Tsang
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - R H M Tsang
- California Institute of Technology, Pasadena, California
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - L S Wang
- Institute of High Energy Physics, Beijing
| | - L Y Wang
- Institute of High Energy Physics, Beijing
| | - L Z Wang
- North China Electric Power University, Beijing
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- College of William and Mary, Williamsburg, Virginia
| | | | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - D M Webber
- University of Wisconsin, Madison, Wisconsin
| | - H Wei
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y D Wei
- Dongguan University of Technology, Dongguan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - L Whitehead
- Department of Physics, University of Houston, Houston, Texas
| | - T Wise
- University of Wisconsin, Madison, Wisconsin
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - S C F Wong
- Chinese University of Hong Kong, Hong Kong
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York
| | - Q Wu
- Shandong University, Jinan
| | - D M Xia
- Institute of High Energy Physics, Beijing
| | - J K Xia
- Institute of High Energy Physics, Beijing
| | - X Xia
- Shandong University, Jinan
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J Xu
- Beijing Normal University, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - J Y Xu
- Chinese University of Hong Kong, Hong Kong
| | - Y Xu
- School of Physics, Nankai University, Tianjin
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Yan
- Xi'an Jiaotong University, Xi'an
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - M S Yang
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York
| | - Y S Yeh
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | | | - G Y Yu
- Nanjing University, Nanjing
| | - J Y Yu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | | | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York
| | - F H Zhang
- Institute of High Energy Physics, Beijing
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | | | - S H Zhang
- Institute of High Energy Physics, Beijing
| | - Y C Zhang
- University of Science and Technology of China, Hefei
| | - Y H Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y X Zhang
- China Guangdong Nuclear Power Group, Shenzhen
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - Q W Zhao
- Institute of High Energy Physics, Beijing
| | - Y B Zhao
- Institute of High Energy Physics, Beijing
| | - L Zheng
- University of Science and Technology of China, Hefei
| | - W L Zhong
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - Z Y Zhou
- China Institute of Atomic Energy, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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39
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Chung MS, Yang AC, Lin YC, Lin CN, Chang FR, Shen SH, Ouyang WC, Loh EW, Chiu HJ. Association of altered cardiac autonomic function with psychopathology and metabolic profiles in schizophrenia. Psychiatry Res 2013; 210:710-5. [PMID: 23978730 DOI: 10.1016/j.psychres.2013.07.034] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Revised: 07/23/2013] [Accepted: 07/27/2013] [Indexed: 12/29/2022]
Abstract
Schizophrenia has been associated with autonomic dysregulation and increased cardiovascular co-morbidity. We hypothesised that autonomic dysregulation in patients with schizophrenia is associated with psychopathology and metabolic profiles. In this study, we aimed to evaluate psychopathology, comprehensive metabolic profiles and cardiac autonomic function using heart-rate variability (HRV) analysis in patients with schizophrenia. A total of 94 patients with schizophrenia and 51 healthy controls were recruited. Each patient underwent a physical examination, laboratory tests and rating scale evaluation, and all subjects underwent a 1-h electrocardiogram monitoring. Analysis of variance was used to compare demographic and HRV variables between control and patient groups. We applied multiple regression analysis with backward selection to examine the association between HRV indices and demographic, metabolic and psychopathology profiles. A decreased HRV was found in patient groups, compared to controls. Reduced vagal-related and complexity domain of HRV indices in patient groups were correlated with increased body mass indices, diastolic pressure, triglycerides, high- and low-density lipoprotein and severity of psychosis mainly in the negative symptom domain. This study provides evidence that altered autonomic function is associated with both psychopathology and metabolic profiles in patients with schizophrenia. These findings may warrant future research in using HRV as objective markers to monitor cardiovascular health and the severity of psychosis in patients with schizophrenia.
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Abstract
Nanodiamonds have attracted remarkable scientific attention for bioimaging and therapeutic applications owing to their low toxicity with many cell lines, convenient surface properties and stable fluorescence without photobleaching. Newer techniques are being applied to enhance fluorescence. Interest is also growing in exploring the possibilities for modifying the nanodiamond surface and functionalities by attaching various biomolecules of interest for interaction with the targets. The potential of Raman spectroscopy and fluorescence properties of nanodiamonds has been explored for bioimaging and drug delivery tracing. The interest in nanodiamonds’ biological/medical application appears to be continuing with enhanced focus. In this review an attempt is made to capture the scope, spirit and recent developments in the field of nanodiamonds for biomedical applications.
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Affiliation(s)
- Elena Perevedentseva
- Department of Physics, National Dong Hwa University, No. 1, Sec. 2 Da Hsueh Rd, Shoufeng, Hualien, 97401, Taiwan
| | - Yu-Chung Lin
- Department of Physics, National Dong Hwa University, No. 1, Sec. 2 Da Hsueh Rd, Shoufeng, Hualien, 97401, Taiwan
| | - Mona Jani
- Department of Physics, National Dong Hwa University, No. 1, Sec. 2 Da Hsueh Rd, Shoufeng, Hualien, 97401, Taiwan
| | - Chia-Liang Cheng
- Department of Physics, National Dong Hwa University, No. 1, Sec. 2 Da Hsueh Rd, Shoufeng, Hualien, 97401, Taiwan
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41
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Chen W, Lv YT, Zhang HX, Ruan D, Wang S, Lin YC. Developmental specificity in skeletal muscle of late-term avian embryos and its potential manipulation. Poult Sci 2013; 92:2754-64. [PMID: 24046424 DOI: 10.3382/ps.2013-03099] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Unlike the mammalian fetus, development of the avian embryo is independent of the maternal uterus and is potentially vulnerable to physiological and environmental stresses close to hatch. In contrast to the fetus of late gestation in mammals, skeletal muscle in avian embryos during final incubation shows differential developmental characteristics: 1) muscle mobilization (also called atrophy) is selectively enhanced in the type II fibers (pectoral muscle) but not in the type I fibers (biceps femoris and semimembranosus muscle), involving activation of ubiquitin-mediated protein degradation and suppression of S6K1-mediated protein translation; 2) the proliferative activity of satellite cells is decreased in the atrophied muscle of late-term embryos but enhanced at the day of hatch, probably preparing for the postnatal growth. The mobilization of muscle may represent an adaptive response of avian embryos to external (environmental) or internal (physiological) changes, considering there are developmental transitions both in hormones and requirements for glycolytic substrates from middle-term to late-term incubation. Although the exact mechanism triggering muscle fiber atrophy is still unknown, nutritional and endocrine changes may be of importance. The atrophied muscle fiber recovers as soon as feed and water are available to the hatchling. In ovo feeding of late-term embryos has been applied to improve the nutritional status and therein enhances muscle development. Similarly, in ovo exposure to higher temperature or green light during the critical period of muscle development are also demonstrated to be potential strategies to promote pre- and posthatch muscle growth.
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Affiliation(s)
- W Chen
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
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42
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Yang SK, Tan N, Yan XM, Chen F, Long W, Lin YC. Thorium(IV) removal from aqueous medium by citric acid treated mangrove endophytic fungus Fusarium sp. #ZZF51. Mar Pollut Bull 2013; 74:213-219. [PMID: 23871201 DOI: 10.1016/j.marpolbul.2013.06.055] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [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: 04/13/2013] [Revised: 06/23/2013] [Accepted: 06/26/2013] [Indexed: 06/02/2023]
Abstract
Thorium(IV) biosorption is investigated by citric acid treated mangrove endophytic fungus Fussarium sp. #ZZF51 (CA-ZZF51) from South China Sea. The biosorption process was optimized at pH 4.5, equilibrium time 90 min, initial thorium(IV) concentration 50 mg L(-1) and adsorbent dose 0.6 g L(-1) with 90.87% of removal efficiency and 75.47 mg g(-1) of adsorption capacity, which is obviously greater than that (11.35 mg g(-1)) of the untreated fungus Fussarium sp. #ZZF51 for thorium(IV) biosorption under the condition of optimization. The experimental data are analyzed by using isotherm and kinetic models. Kinetic data follow the pseudo-second-order model and equilibrium data agree very well with the Langmuir model. In addition, FTIR analysis indicates that hydroxyl, amino, and carbonyl groups act as the important roles in the adsorption process.
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Affiliation(s)
- S K Yang
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, Hunan 421001, China.
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43
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Tseng LM, Hsu NC, Chen SC, Lu YS, Lin CH, Chang DY, Li H, Lin YC, Chang HK, Chao TC, Ouyang F, Hou MF. Distant metastasis in triple-negative breast cancer. Neoplasma 2013; 60:290-4. [PMID: 23373998 DOI: 10.4149/neo_2013_038] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Triple-negative breast cancer (TNBC) relapses more frequently than hormone receptor-positive subtypes and is often associated with poor outcomes. This retrospective study reviewed the pattern of distant metastasis with regard to survival in patients with TNBC. A total of 205 TNBC patients were analyzed. TNBC patients with lung metastases had the longest median post-metastatic OS (with 95% confidence interval) of 16.6 (10.3-22.9) months, followed by the bone, 16.3 (11.7-20.8) months, the liver, 8.9 (3.5-14.4) months, the pleura, 7.5 (2.8-12.3) months, and the brain, 4.3 (0.6-8.0) months. Kaplan-Meier plots indicated that TNBC patients with metastatic spread to brain, liver, and pleural had poorer post-metastatic OS rate than patients with lung metastases (p = 0.001, 0.004, and 0.029, respectively). Moreover, brain and liver metastases correlated significantly with poorer post-metastatic OS as compared to bone metastasis (p = 0.004 and 0.011, respectively). Route of first metastasis correlated significantly with survival of TNBC patients with brain metastases being the poorest survival indicator, followed by metastases to liver, pleura, bone, and lung.
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Affiliation(s)
- L M Tseng
- Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
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Lo YC, Chen WC, Huang WT, Lin YC, Liu MC, Kuo HW, Chuang JH, Yang JR, Liu MT, Wu HS, Yang CH, Chou JH, Chang FY. Surveillance of avian influenza A(H7N9) virus infection in humans and detection of the first imported human case in Taiwan, 3 April to 10 May 2013. Euro Surveill 2013. [DOI: 10.2807/ese.18.20.20479-en] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
On 3 April 2013, suspected and confirmed cases of influenza A(H7N9) virus infection became notifiable in the primary care sector in Taiwan, and detection of the virus became part of the surveillance of severe community-acquired pneumonia. On 24 April, the first imported case, reported through both surveillance systems, was confirmed in a man returning from China by sequencing from endotracheal aspirates after two negative throat swabs. Three of 139 contacts were ill and tested influenza A(H7N9)-negative.
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Affiliation(s)
- Y C Lo
- Centers for Disease Control, Taipei, Taiwan
| | - W C Chen
- Centers for Disease Control, Taipei, Taiwan
| | - W T Huang
- Centers for Disease Control, Taipei, Taiwan
| | - Y C Lin
- Centers for Disease Control, Taipei, Taiwan
| | - M C Liu
- Centers for Disease Control, Taipei, Taiwan
| | - H W Kuo
- Centers for Disease Control, Taipei, Taiwan
| | - J H Chuang
- Centers for Disease Control, Taipei, Taiwan
| | - J R Yang
- Centers for Disease Control, Taipei, Taiwan
| | - M T Liu
- Centers for Disease Control, Taipei, Taiwan
| | - H S Wu
- Centers for Disease Control, Taipei, Taiwan
| | - C H Yang
- Centers for Disease Control, Taipei, Taiwan
| | - J H Chou
- Centers for Disease Control, Taipei, Taiwan
| | - F Y Chang
- Centers for Disease Control, Taipei, Taiwan
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45
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Lo YC, Chen WC, Huang WT, Lin YC, Liu MC, Kuo HW, Chuang JH, Yang JR, Liu MT, Wu HS, Yang CH, Chou JH, Chang FY. Surveillance of avian influenza A(H7N9) virus infection in humans and detection of the first imported human case in Taiwan, 3 April to 10 May 2013. Euro Surveill 2013; 18:20479. [PMID: 23725865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023] Open
Abstract
On 3 April 2013, suspected and confirmed cases of influenza A(H7N9) virus infection became notifiable in the primary care sector in Taiwan, and detection of the virus became part of the surveillance of severe community-acquired pneumonia. On 24 April, the first imported case, reported through both surveillance systems, was confirmed in a man returning from China by sequencing from endotracheal aspirates after two negative throat swabs. Three of 139 contacts were ill and tested influenza A(H7N9)-negative.
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Affiliation(s)
- Y C Lo
- Centers for Disease Control, Taipei, Taiwan
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46
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Wang YY, Lin YC, Hung HC, Tien WY, Shieh TY. Polymorphisms in Kallikrein7 and 10 genes and oral cancer risks in Taiwan betel quid chewers and smokers. Oral Dis 2013; 19:824-32. [PMID: 23413953 DOI: 10.1111/odi.12072] [Citation(s) in RCA: 3] [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: 09/07/2012] [Revised: 11/02/2012] [Accepted: 01/08/2013] [Indexed: 01/25/2023]
Abstract
OBJECTIVES We investigated the association between mRNA levels, polymorphisms of Kallikrein7 (KLK7) and Kallikrein10 (KLK10), and the development of oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS We recruited 217 OSCC patients and 138 healthy controls. All were men, betel quid chewers, cigarette smokers, and Minnan ethnicity. Genotyping was performed using a TaqMan probe genotyping assay. Gene expression levels were determined using real-time polymerase chain reactions (PCRs) for 20 pairs of cancerous and non-cancerous tissues. RESULTS Kallikrein10 rs3745535G>T polymorphisms were significantly associated with OSCC development [adjusted OR (AOR) = 1.62, 95% CI = 1.02-2.59], but KLK7 polymorphisms were not. The KLK7 rs10581213(wt/ins + ins/ins) genotypes were significantly associated with early-stage cancer (AOR = 0.34, 95% CI = 0.14-0.78), but KLK10 polymorphisms were not. Relative expression analysis indicated that an increase in KLK7 and KLK10 mRNA levels was found in cancerous tissues (2(-ΔΔCT) = 25.23 ± 8.85 and 10.89 ± 4.97, respectively). A significantly higher level of KLK7 was expressed in early-stage cancer with the rs10581213(wt/ins + ins/ins) genotypes, but there was no significant difference in the mRNA levels of KLK7 and KLK10 between early- and advanced-stage cancers. CONCLUSIONS This is the first correlation of OSCC with KLK10 rs3745535G>T polymorphisms. Early-stage OSCC and high KLK7 mRNA levels were correlated with the rs10581213(wt/ins + ins/ins) genotypes. More studies with large sample sizes are needed to verify our findings.
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Affiliation(s)
- Y Y Wang
- School of Dentistry, Kaohsiung Medical University, Kaohsiung, Taiwan
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47
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Lin YH, Liu YS, Lin YC, Wei YS, Liao KS, Lee KR, Lai JY, Chen HM, Jean YC, Liu CY. Decoupling free-carriers contributions from oxygen-vacancy and cation-substitution in extrinsic conducting oxides. J Appl Phys 2013; 113:33706. [PMID: 23405036 PMCID: PMC3562333 DOI: 10.1063/1.4776781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Accepted: 01/02/2013] [Indexed: 06/01/2023]
Abstract
The intrinsic oxygen-vacancies and the extrinsic dopants are two major fundamental free-carrier sources for the extrinsic conducting oxides, such as Sn-doped In(2)O(3). Yet, the individual contributions of the above two free-carrier sources to the total carrier concentrations have never been unraveled. A carrier-concentration separation model is derived in this work, which can define the individual contributions to the total carrier concentration from the intrinsic oxygen-vacancies and the extrinsic dopants, separately. The individual contributions obtained from the present carrier-concentration separation model are verified by the two-state trapping model, photoluminescence, and positron annihilation lifetime (PAL) spectroscopy. In addition, the oxygen-vacancy formation energy of the Sn:In(2)O(3) thin film is determined to be 0.25 eV by PAL spectroscopy.
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48
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Shao KT, Lai KC, Lin YC, Chen LS, Li HY, Hsu CH, Lee H, Hsu HW, Mai GS. Experience and Strategy of Biodiversity Data Integration in Taiwan. Data Sci J 2013. [DOI: 10.2481/dsj.wds-008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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49
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Lin YC, Perevedentseva E, Tsai LW, Wu KT, Cheng CL. Nanodiamond for intracellular imaging in the microorganisms in vivo. J Biophotonics 2012; 5:838-847. [PMID: 22815227 DOI: 10.1002/jbio.201200088] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Revised: 06/18/2012] [Accepted: 06/19/2012] [Indexed: 06/01/2023]
Abstract
Nanodiamond (ND) has great potential for bio labeling and drug delivery. In this work, the biocompatibility and bio labeling of ND are demonstrated via the interaction with cells and microorganisms, protists microorganisms Paramecium caudatum and Tetrahymena thermophile, in vitro and in vivo. We found the microorganism's living functions are not significantly affected by ND. The NDs were found entering the food vacuoles and later excreted by the microorganisms. The 5 nm ND was found more toxic compared to 100 nm ND, presumably due to the surface disordered carbons. Our results demonstrated nanodiamond can be used in bio imaging and matter delivery.
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Affiliation(s)
- Yu-Chung Lin
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
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50
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Akira A, Ohmura H, Uzumcu M, Araki T, Lin YC. Gossypol inhibits aromatase activity in cultured porcine granulosa cells. Theriogenology 2012; 41:1489-97. [PMID: 16727503 DOI: 10.1016/0093-691x(94)90200-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/1993] [Accepted: 03/08/1994] [Indexed: 11/25/2022]
Abstract
The present study investigated whether gossypol inhibited aromatase activity in cultured porcine granulosa cells. Aromatase activity was assayed by measuring (3)H-H(2)O released from [1beta-(3)H]-androstenedione. First, immature porcine granulosa cells were cultured with various doses of follicle stimulating hormone (FSH, 1 to 1000 ng/ml) for 1 to 5 d to determine optimal culture conditions for aromatase activity assay. Second, porcine granulosa cells were cultured with or without FSH in the presence or absence of gossypol. Gossypol, at 4 muM, significantly inhibited FSH-induced aromatase activity while showing no effect on basal aromatase activity. Gossypol did not inhibit cell proliferation during cell culture. These results suggest that gossypol inhibits aromatase activity by interfering with FSH induction of aromatase in cultured porcine granulosa cells.
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Affiliation(s)
- A Akira
- Laboratory of Reproductive Endocrinology Department of Veterinary Physiology and Pharmacology College of Veterinary Medicine The Ohio State University 1900 Coffey Road Columbus, OH 43210-1092 USA
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