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Tissue Engineering: Controlled Apoptosis of Stromal Cells to Engineer Human Microlivers (Adv. Funct. Mater. 48/2020)

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Advanced Functional Materials 2020年第48期30卷

作者： Amanda X. Chen Arnav Chhabra Hyun‐Ho Greco Song Heather E. Fleming Christopher S. Chen Sangeeta N. Bhatia Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology Cambridge MA 02139 USA Harvard–MIT Program in Health Sciences and Technology Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge MA 02139 USA Biological Design Center Department of Biomedical Engineering Boston University Boston MA 02215 USA Wyss Institute for Biologically Inspired Engineering Boston MA 02115 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02142 USA Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA 02115 USA Broad Institute of Massachusetts Institute of Technology and Harvard Cambridge MA 02139 USA Howard Hughes Medical Institute Chevy Chase MD 20815 USA

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Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals (vol 52, pg 1314, 2020)

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NATURE GENETICS 2021年第5期53卷 762-762页

作者： Surendran, Praveen Feofanova, Elena V. Lahrouchi, Najim Ntalla, Ioanna Karthikeyan, Savita Cook, James Chen, Lingyan Mifsud, Borbala Yao, Chen Kraja, Aldi T. Cartwright, James H. Hellwege, Jacklyn N. Giri, Ayush Tragante, Vinicius Thorleifsson, Gudmar Liu, Dajiang J. Prins, Bram P. Stewart, Isobel D. Cabrera, Claudia P. Eales, James M. Akbarov, Artur Auer, Paul L. Bielak, Lawrence F. Bis, Joshua C. Braithwaite, Vickie S. Brody, Jennifer A. Daw, E. Warwick Warren, Helen R. Drenos, Fotios Nielsen, Sune Fallgaard Faul, Jessica D. Fauman, Eric B. Fava, Cristiano Ferreira, Teresa Foley, Christopher N. Franceschini, Nora Gao, He Giannakopoulou, Olga Giulianini, Franco Gudbjartsson, Daniel F. Guo, Xiuqing Harris, Sarah E. Havulinna, Aki S. Helgadottir, Anna Huffman, Jennifer E. Hwang, Shih-Jen Kanoni, Stavroula Kontto, Jukka Larson, Martin G. Li-Gao, Ruifang Lindstrom, Jaana Lotta, Luca A. Lu, Yingchang Luan, Jian'an Mahajan, Anubha Malerba, Giovanni Masca, Nicholas G. D. Mei, Hao Menni, Cristina Mook-Kanamori, Dennis O. Mosen-Ansorena, David Muller-Nurasyid, Martina Pare, Guillaume Paul, Dirk S. Perola, Markus Poveda, Alaitz Rauramaa, Rainer Richard, Melissa Richardson, Tom G. Sepulveda, Nuno Sim, Xueling Smith, Albert V. Smith, Jennifer A. Staley, James R. Stanakova, Alena Sulem, Patrick Theriault, Sebastien Thorsteinsdottir, Unnur Trompet, Stella Varga, Tibor V. Velez Edwards, Digna R. Veronesi, Giovanni Weiss, Stefan Willems, Sara M. Yao, Jie Young, Robin Yu, Bing Zhang, Weihua Zhao, Jing-Hua Zhao, Wei Zhao, Wei Evangelou, Evangelos Aeschbacher, Stefanie Asllanaj, Eralda Blankenberg, Stefan Bonnycastle, Lori L. Bork-Jensen, Jette Brandslund, Ivan Braund, Peter S. Burgess, Stephen Cho, Kelly Christensen, Cramer Connell, John de Mutsert, Renee Dominiczak, Anna F. Dorr, Marcus Eiriksdottir, Gudny Farmaki, Aliki-Eleni Gaziano, J. Michael Grarup, Niels Grove, Megan L. Hallmans, Goran Hansen, Torben Have, Christian T. Heiss, Gerardo Jorgensen, Marit E. Jousilahti, Pekka Kajantie, Eero Kamat, Mihir Karajamaki, AnneMari Kar British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK British Heart Foundation Centre of Research Excellence University of Cambridge Cambridge UK Health Data Research UK Cambridge Wellcome Genome Campus and University of Cambridge Cambridge UK Rutherford Fund Fellow Department of Public Health and Primary Care University of Cambridge Cambridge UK MRC Biostatistics Unit University of Cambridge Cambridge UK National Institute for Health Research Cambridge Biomedical Research Centre University of Cambridge and Cambridge University Hospitals Cambridge UK MRC Integrative Epidemiology Unit (IEU) Population Health Sciences Bristol Medical School University of Bristol Bristol UK Robertson Centre for Biostatistics University of Glasgow Glasgow UK MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge UK Department of Immunology and Inflammation Imperial College London London UK Centre for Non-communicable Disease Research (CNCR) Dhaka Bangladesh National Institute for Health Research (NIHR) Blood and Transplant Research Unit (BTRU) in Donor Health and Genomics at the University of Cambridge Cambridge UK Department of Human Genetics Wellcome Sanger Institute Wellcome Genome Campus Hinxton Cambridge UK Department of Biostatistics and Epidemiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Center for Non-Communicable Diseases Karachi Pakistan Department of Genetics Novo Nordisk Research Centre Oxford Oxford UK Human Genetics Center Department of Epidemiology Human Genetics and Environmental Sciences School of Public Health University of Texas Health Science Center at Houston Houston TX USA Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Cardiovascular Research Center Center for Genomic Medicine

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Using an online community of practice to explore the informal use of mobile phones by health workers

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Oxford open digital health 2023年第1期1卷 oqac003页

作者： Claire Glenton Josephine Nabukenya Smisha Agarwal Michele Meltzer Elisabeth Mukendi Immaculate Nakityo Lwanga Josephine Namitala Sunanda Reddy Geoff Royston Tigest Tamrat Neil Pakenham-Walsh Department of Health and Functioning Western Norway University of Applied Sciences 5020 Bergen Norway. Department of Information Systems School of Computing & Informatics Technology Makerere University 7062 Kampala Uganda. Department of International Health Johns Hopkins University Bloomberg School of Public Health Baltimore MD 20205 USA. Department of Medicine Thomas Jefferson University Philadelphia PA 19107 USA. Department of Health Senghor University Alexandria Governorate 5361022 Egypt. School of Public Health Makerere University 7062 Kampala Uganda. Department of Adult and Community Education Makerere University 7062 Kampala Uganda. Centre for Applied Research and Education on Neurodevelopmental Impairments and Disability-related Health Initiatives New Delhi 110075 India. Healthcare Information for All Global Healthcare Information Network Oxfordshire UK. UNDP/UNFPA/UNICEF/World Bank Special Program of Research Development and Research Training in Human Reproduction (HRP) Department of Sexual and Reproductive Health and Research World Health Organization Geneva 1211 Switzerland.

health workers are increasingly harnessing mobile phones to develop their own solutions to work challenges. The mhealth-INNOVATE project aims to explore this topic further. In 2022, healthcare Information for All organized an online discussion among health workers and other stakeholders to inform the project. Twenty-five people joined the discussion. Contributors' descriptions of the varieties of mobile phone use tallied with previous research, including for communication with patients and colleagues. In addition, they described increased mobile phone use in response to the COVID-19 pandemic and the increased need for communication, monitoring and reporting, including during lockdowns. Some solutions were health worker-initiated, including the establishment of WhatsApp groups. The discussion has helped develop a definition of informal mobile phone use.

关键词： digital health digital innovation health workforce informal mhealth mobile device mobile health

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Tuberculosis infection and lung adenocarcinoma: Mendelian randomization and pathway analysis of genome-wide association study data from never-smoking Asian women

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Genomics 2020年第2期112卷 1223-1232页

作者： Jason Y Y Wong Han Zhang Chao A Hsiung Kouya Shiraishi Kai Yu Keitaro Matsuo Maria Pik Wong Yun-Chul Hong Jiucun Wang Wei Jie Seow Zhaoming Wang Minsun Song Hee Nam Kim I-Shou Chang Nilanjan Chatterjee Wei Hu Chen Wu Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Adeline Seow Neil E Caporaso Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Yang Yang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Qiuyin Cai Zhihua Yin Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Yataro Daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda H Dean Hosgood Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Michiaki Kubo Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Jianxin Shi Lei Song Xing Hua Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Fusheng Wei Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Wu-Chou Su Yu-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Li-Hsin Chien Yong-Bing Xiang Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Kyoung-Mu Lee Batel Blechter Haixin Li Yu-Tang Gao Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Laurie Burdett Meredith Yeager Amy Hutchinson Sonja I Berndt Wei Wu Herbert Pang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu C H Kang Meng Zhu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Michael Hsin Ko-Yung Sit James Ho Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho Il Yoon Chien-Chung Lin In Kyu Park Ping Xu Yuzhuo Wang Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Tzu-Yu Chen Shih-Sheng Jiang Jie Liu Taiki Yamaji Belynda Hicks Kathleen Wyatt Shengchao A Li Juncheng Dai Hongxia Ma Guangfu Jin Bao Song Zhehai Wang Sensen Cheng Xuelian Li Yangwu Ren Ping Cui Motoki Iwasaki Taichi Shimazu Shoichiro Tsugane Junjie Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Electronic address: jason.wong@nih.gov. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Division of Cancer Epidemiology and Prevention Aichi Cancer Center Research Institute Nagoya Japan Department of Cancer Epidemiology Nagoya University Graduate School of Medicine Nagoya Japan. Department of Pathology Queen Mary Hospital The University of Hong Kong Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Saw Swee Hock School of Public Health National University of Singapore Singapore. Cancer Genomics Research Laboratory Leidos Biomedical Research Inc Gaithersburg MD USA Department of Computational Biology St. Jude Children's Research Hospital Memphis TN USA. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA. Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology Cancer Institute and Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of

We investigated whether genetic susceptibility to tuberculosis (TB) influences lung adenocarcinoma development among never-smokers using TB genome-wide association study (GWAS) results within the Female Lung Cancer Consortium in Asia. Pathway analysis with the adaptive rank truncated product method was used to assess the association between a TB-related gene-set and lung adenocarcinoma using GWAS data from 5512 lung adenocarcinoma cases and 6277 controls. The gene-set consisted of 31 genes containing known/suggestive associations with genetic variants from previous TB-GWAS. Subsequently, we followed-up with Mendelian Randomization to evaluate the association between TB and lung adenocarcinoma using three genome-wide significant variants from previous TB-GWAS in East Asians. The TB-related gene-set was associated with lung adenocarcinoma (p = 0.016). Additionally, the Mendelian Randomization showed an association between TB and lung adenocarcinoma (OR = 1.31, 95% CI: 1.03, 1.66, p = 0.027). Our findings support TB as a causal risk factor for lung cancer development among never-smoking Asian women.

关键词： Lung adenocarcinoma Lung cancer Mendelian randomization Pathway analysis Tuberculosis

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Publisher Correction: A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations

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Scientific reports 2018年第1期8卷 4422页

作者： Rachel B. Ger Xenia J. Fave Heng Li Jihong Wang Rebecca M. Howell Laurence E. Court James A. Bankson R. Jason Stafford John D. Hazle Clifton D. Fuller Abdallah S. R. Mohamed Hesham Elhalawani Caroline Chung Steven J. Frank Musaddiq J. Awan Yao Ding Kelsey B. Mathieu Kimberly Li Wei Huang Andrew L. Beers Jayashree Kalpathy-Cramer Brandon Driscoll Catherine Coolens David A. Hormuth II Thomas E. Yankeelov Petra J. van Houdt Uulke A. van der Heide Renjie He Shouhao Zhou Vlad C. Sandulache Stephen Y. Lai Daniel P. Barboriak Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston Texas USA Department of Imaging Physics The University of Texas MD Anderson Cancer Center Houston Texas USA Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA Department of Clinical Oncology and Nuclear Medicine Faculty of Medicine University of Alexandria Alexandria Egypt Techna Institute University Health Network Toronto Ontario Canada Case Western Reserve University Cleveland OH USA University Hospitals Cleveland OH USA Advanced Imaging Research Center Knight Cancer Institute Oregon Health & Science University Portland Oregon USA The International School of Beaverton Beaverton Oregon USA Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital/Division of Health Sciences & Technology Massachusetts Institute of Technology Charlestown Massachusetts USA Radiation Medicine Program Princess Margaret Cancer Centre University Health Network Toronto Ontario Canada Department of Radiation Oncology University of Toronto Toronto Ontario Canada Institute for Computational Engineering and Sciences The University of Texas Austin Texas USA Department of Radiation Oncology The Netherlands Cancer Institute Amsterdam The Netherlands United Imaging Healthcare America Houston Texas USA Department of Biostatistics The University of Texas MD Anderson Cancer Center Houston Texas USA Department of Otolaryngology Head and Neck Surgery Baylor College of Medicine Houston Texas USA Department of Head and Neck Surgery The University of Texas MD Anderson Cancer Center Houston Texas USA Department of Molecular and Cellular Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA Department of Radiology Duke University Medical Center Durham North Carolina USA

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): Explanation and elaboration

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Journal of Clinical Epidemiology 2011年第8期64卷 e1-e22页

作者： Janssens, A. Cecile J.W. Ioannidis, John P.A. Bedrosian, Sara Boffetta, Paolo Dolan, Siobhan M. Dowling, Nicole Fortier, Isabel Freedman, Andrew N. Grimshaw, Jeremy M. Gulcher, Jeffrey Gwinn, Marta Hlatky, Mark A. Janes, Holly Kraft, Peter Melillo, Stephanie Pencina, Michael J. Ransohoff, David Schully, Sheri D. Seminara, Daniela Winn, Deborah M. Wright, Caroline F. Van Duijn, Cornelia M. Little, Julian Khoury, Muin J. Department of Epidemiology Erasmus University Medical Center 3000 CA Rotterdam PO Box 2040 Netherlands Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece Biomedical Research Institute Foundation for Research and Technology Ioannina Greece Department of Medicine Tufts University School of Medicine Boston MA United States Center for Genetic Epidemiology and Modeling and Tufts CTSI Institute for Clinical Research and Health Policy Studies Tufts Medical Center Boston MA United States Stanford Prevention Research Center Stanford University School of Medicine Stanford CA United States Office of Public Health Genomics Centers for Disease Control and Prevention Atlanta GA United States Tisch Cancer Institute Mount Sinai School of Medicine New York NY United States International Prevention Research Institute Lyon France Department of Obstetrics and Gynecology and Women's Health Albert Einstein College of Medicine Montefiore Medical Center Bronx NY United States Public Population Project in Genomics (P3G) Montreal QC Canada Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Bethesda MD United States Clinical Epidemiology Program Ottawa Hospital Research Institute Ottawa ON Canada Department of Medicine University of Ottawa Ottawa ON Canada DeCODE Genetics Reykjavik Iceland Department of Health Research and Policy Stanford University Palo Alto CA United States Fred Hutchinson Cancer Research Center Vaccine and Infectious Disease Institute Division of Public Health Sciences Seattle WA United States Department of Epidemiology Harvard School of Public Health Boston MA United States National Heart Lung and Blood Institute (NHLBI) NHLBI's Framingham Heart Study Framingham MA United States Cardiology Division Massachusetts General Hospital Harvard Medical School Boston MA United States Department of Biostatistics Boston University Boston MA United S

The rapid and continuing progress in gene discovery for complex diseases is fuelling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by prior reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.

关键词： AUC Area Under the receiver operating characteristic Curve CONSORT Consolidated Standard of Reporting Trials dbGaP Database of Genotype and Phenotype EQUATOR Enhancing the QUAlity and Transparency Of health Research GAIN Genetic Association Information Network GRIPS Genetic RIsk Prediction Studies HuGENet Human Genome Epidemiology Network IDI Integrated Discrimination Improvement MeSH Medical Subject Headings REMARK Guidelines for Reporting of tumor MARKer studies SNP single nucleotide polymorphism STARD STAndards for Reporting Diagnostic accuracy STREGA STrenghtening the REporting of Genetic Association studies STROBE Strengthening the Reporting of OBservational studies in Epidemiology

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Autologous transfusion: current trends and research issues. National Heart, Lung, and Blood Institute Autologous Transfusion Symposium Working Group

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Transfusion 1995年第6期35卷 525-31页

作者： National Heart, Lung, and Blood Institute Autologous Transfusion Symposium Working Group Members of the National Heart Lung and Blood Institute Autologous Transfusion Symposium Working Group Steven A. Gould MD Professor of Surgery University of Illinois College of Medicine and Chief of Service Department of Surgery Michael Reese Hospital Chicago IL. Margot S. Kruskall MD Director Division of Clinical Laboratories Beth Israel Hospital and Associate Professor Department of Pathology and Medicine Harvard Medical School Boston MA. Linda C. Stehling MD Director of Medical Affairs Blood Systems Inc. Scottsdale AZ. Pearl T.C.Y. Toy MD Professor Department of Laboratory Medicine University of California San Francisco and Chief Blood Bank Moffit-Long Hospital San Francisco CA. Paul R. McCurdy MD Director Blood Resources Program Division of Blood Diseases & Resources National Heart Lung and Blood Institute National Institutes of Health Bethesda MD. George J. Nemo PhD Chief Blood Resources Branch Division of Blood Diseases & Resources National Heart Lung and Blood Institute. Barbara Fink RN MPH Support Contractor R.O.W. Sciences Inc. Rockville MD.

Dr. Toy concluded the meeting by summarizing the major controversial issues highlighted by the speakers. PABD PABD is, in principle, a safe and effective method for avoiding exposure to allogeneic blood in appropriate circumstances, and a substantial amount of clinical literature has been published to support its role. However, additional research is needed in the following areas: The optimal number of units that should be collected for specific surgical procedures to ensure maximum savings in use of allogenic blood and minimum wastage; The safety of PABD in patients, including a better understanding of which patients are at risk for complications, what the risks are, and what alternative collection strategies should be employed. Adequate control groups are needed in these studies; A definition of the transfusion trigger as it applies to autologous RBCs; An investigation of the role of rEPO in facilitating PABDs; The development of better collection logistics (e.g., double-unit collections) and storage protocols (e.g., improved additive solutions); and Additional studies of the costs associated with autologous blood collection and development of more cost-effective strategies. Acute normovolemic hemodilution Much of the published literature related to hemodilution describes the concept and specific protocols; in contrast, relatively little clinical research relating to the efficacy of this technique exists.(ABSTRACT TRUNCATED AT 250 WORDS)

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International Scientific Collaboration Is Needed to Bridge Science to Society: USERN2020 Consensus Statement

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SN comprehensive clinical medicine 2021年第8期3卷 1699-1703页

作者： Sara Momtazmanesh Amene Saghazadeh Juan Carlos Aldave Becerra Kiarash Aramesh Francisco J Barba Federico Bella Anna Blakney Massimo Capaccioli Rossella Castagna Umberto Crisanti Tigran Davtyan Tommaso Dorigo Julie Ealy Mehdi Farokhnia Giulia Grancini Manoj Gupta Amine Harbi Wojciech Krysztofiak Arutha Kulasinghe Chi-Ming Lam Alexander Leemans Brian Lighthill Vittorio Limongelli Paola Lopreiato Livio Luongo Christopher Ryan Maboloc Reza Malekzadeh Orlando Costa Gomes Milos Milosevic Jan Nouwen Delfín Ortega-Sánchez John Pawelek Surapati Pramanik Seeram Ramakrishna Ortwin Renn Serena Sanseviero Daniel Sauter Michael Schreiber Frank W Sellke Mohammad-Ali Shahbazi Natalya Shelkovaya Wayne H Slater Didier Snoeck Slawomir Sztajer Lucina Q Uddin Liz Veramendi-Espinoza Ricardo Vinuesa Walter C Willett Dongrui Wu Karolina Żyniewicz Nima Rezaei http://***. School of Medicine Tehran University of Medical Sciences Tehran Iran. Research Center for Immunodeficiencies Children's Medical Center Hospital Tehran University of Medical Sciences Tehran Iran. Division of Allergy and Immunology Hospital Nacional Edgardo Rebagliati Martins Lima Lima Peru. Department of Biology and Health Sciences College of Science and Health Professions Edinboro University of Pennsylvania Edinboro USA. Nutrition and Food Science Area Preventive Medicine and Public Health Food Science Toxicology and Forensic Medicine Department Faculty of Pharmacy Universitat de València Avda. Vicent Andrés Estellés S/n València 46100 Burjassot Spain. Department of Applied Science and Technology - DISAT Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy. Department of Infectious Diseases Imperial College London Norfolk Place London W2 1PG UK. Physics Department "Ettore Pancini" University of Naples Federico II Monte Sant'Angelo Campus via Cinthia 21 80121 Naples Italy. Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute for Science and Technology Barcelona 08028 Spain. Latvian Institute of Organic Synthesis (LIOS) Riga LV-1006 Latvia. Psychotherapist in Private Practice Canterbury Kent England. Analytical Laboratory Branch Scientific Centre of Drug and Medical Technology Expertise after Academician E. Gabrielyan CJSC Yerevan 0051 Armenia. INFN Sezione di Padova Padova Italy. Penn State Lehigh Valley 2809 Saucon Valley Road Center Valley PA 18034 USA. National Health Institutes of Health (NIH) Intramural Research Program (IRP) Bethesda USA. Department of Chemistry & INSTM University of Pavia Via Taramelli 14 Pavia I-27100 Italy. Department of Mechanical Engineering National University of Singapore Singapore Singapore. Souk Ahras University Souk Ahras Algeria. The Institute of Philosophy University of Szczecin Ul. Krakowska 71-79 Szczecin 71-004 Poland. Translational Research Institute Woolloongabba

Scientific collaboration has been a critical aspect of the development of all fields of science, particularly clinical medicine. It is well understood that myriads of benefits can be yielded by interdisciplinary and international collaboration. For instance, our rapidly growing knowledge on COVID-19 and vaccine development could not be attained without expanded collaborative activities. However, achieving fruitful results requires mastering specific tactics in collaborative efforts. These activities can enhance our knowledge, which ultimately benefits society. In addition to tackling the issue of the invisible border between different countries, institutes, and disciplines, the border between the scientific community and society needs to be addressed as well. International and transdisciplinary approaches can potentially be the best solution for bridging science and society. The Universal Scientific Education and Research Network (USERN) is a non-governmental, non-profit organization and network to promote professional, scientific research and education worldwide. The fifth annual congress of USERN was held in Tehran, Iran, in a hybrid manner on November 7-10, 2020, with key aims of bridging science to society and facilitating borderless science. Among speakers of the congress, a group of top scientists unanimously agreed on The USERN 2020 consensus, which is drafted with the goal of connecting society with scientific scholars and facilitating international and interdisciplinary scientific activities in all fields, including clinical medicine.

关键词： Collaboration International Policy Research Science Society

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REVISING OVERSIGHT OF GENETICALLY MODIFIED PLANTS (VOL 10, PG 967, 1992)

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BIO-technology 1992年第11期10卷 1385-1385页

作者： HUTTNER, SL Susanne L. Huttner is director of the systemwide biotechnology research and education program at the University of California Los Angeles Charles Arntzen is head of the plant biotechnology program at Texas A & M University Institute of Biosciences and Technology Roger Beachy is at the Scripps Research Institute George Breuning is director of the Center for Engineering Plants for Resistance Against Pathogens at the University of California Davis Laura De Francesco is associate director of the systemwide biotechnology research and education program at the University of California Los Angeles Eugene Nester is chairman of the department of microbiology at die University of Washington Calvin Qualset is director of the genetic resource conservation program at the University of California Davis Anne Vidaver is chair of the plant pathology department at the University of Nebraska.REFERENCES Food and Drug Administration. May 26 1992. FR. 57: 22984-23005.Office of Science and Technology Policy. June 26 1986. FR. 51 (123):23302-23350.International Food Biotechnology council. December 1990. Reg. Toxicol. and Pharmacol. 12(3):1-190.World Health Organization. 1991. Strategies far Assessing the safety of foods produced by biotechnology. World Health Organization Geneva.Executive Office of the President Office of Science and Technology Policy. February 27 1992. FR. 57(39):6753-6762.Department of Agriculture. July 16 1987. FR. 52(115):22892-22915.National Academy of Sciences. 1987. Introduction of Recombinant DNA-Engineered Organisms into the Environment: Key Issues. National Academy Press: Washington D.C.National Research Council. 1989. Field Testing Genetically Modified Organisms: Framework for Decisions. National Academy Press: Washington D.C.Miller H.I. Burris R.H. Vidaver A.K. and Wivel N.A. 1990. Science. 250: 490-491.|PubMed|ISI|ChemPort|Ibid. 6.Ibid. 6.Zambryski P. Joos H. Genetello C. Leemans J. Van Montagu M. and Schell J. 1983. EMBO J. 2: 2143.|ISI|ChemPort|Fraley R.T. Rogers S.G. Horsc

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