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麻醉与镇痛 2008年第6期4卷 12-26,43页

作者： Tong J. Gan, MD Tricia A. Meyer, PharmD, MS Christian C. Apfel, MD, PhD Frances Chung, FRCPC Peter J. Davis, MD Ashraf S. Habib, MB, FRCA Vallire D. Hooper,MSN, RN, CPAN, FAAN Anthony L. Kovac,MD Peter Kranke, MD, PhD, MBA Paul Myles, MD Beverly K. Philip, MD Gregory Samsa, PhD Daniel I. Sessler, MD James Temo, CRNA, MSN, MBA Martin R. Tramer, MD, DPhil Craig Vander Kolk,MD Mehernoor Watcha, MD 谢郭豪(译) 方向明(校) Department of Anesthesiology Duke University Medical Center Durham North Carolina Consultant Anesthesiologist University of Wuerzburg WuerzburgGermany Department of Anesthesia and Perioperative Care UCSF Medical Center at Mt. Zion San FranciscoCalifornia Department of Anesthesia University of Toronto Toronto Canada Department of Anesthesi-ology and Pediatrics University of Pittsburgh School of Medicine Pittsburgh Pennsylvania School of Nurs-ing Medical College of Georgia Augusta Georgia Department of Anesthesiology University of KansasMedical Center Kansas City Kansas Consultant Anesthesiologist University of Wuerzburg WuerzburgGermam Department of Anesthesia and Perioperative Medicine Alfred Hospital Monash University Mel-bourne Australia Department of Anesthesiology Perioperative and Pain Medicine Brigham and Women'sHospital Harvard Medical School Boston Massachusetts Department of Biometry and Bioinformatics Duke University Medical Center Durham North Carolina Department of OUTCOMES RESEARCH TheCleveland Clinic Cleveland Ohio Duke University Nurse Anesthetist Program Durham North Caro-lina Division of Anesthesiology Geneva University Hospitals and Faculty of Medicine Geneva Switzer-land Department of Surgery Division of Plastic Surgery Johns Hopkins University School of Medicine Bal-timore Maryland Department of Anesthesiology Texas Children's Hospital Houston Texas 不详

本指南是在门诊手术麻醉协会发起下，由国际专家组编撰而成。该专家组成员涉及与手术后恶心、呕吐（PONV）相关的多个学科，他们审慎的评估了当前关于PONV的医学文献，为PONV高风险的成年及儿童外科手术患者提供了循证医学的参考工具。... 详细信息

本指南是在门诊手术麻醉协会发起下，由国际专家组编撰而成。该专家组成员涉及与手术后恶心、呕吐（PONV）相关的多个学科，他们审慎的评估了当前关于PONV的医学文献，为PONV高风险的成年及儿童外科手术患者提供了循证医学的参考工具。指南的重点是识别成人及儿童患者中发生PONV的危险因素；推荐降低PONV基础风险的方法；甄别出对PONV进行预防性治疗最为有效的单一药物及联合用药方案；推荐对已发生的PONV的治疗方法；并为具有较高PONV风险的患者提供了处理流程。

关键词：手术后恶心呕吐手术麻醉指南协会门诊 PONV 外科手术患者联合用药方案

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Whole-genome and Transcriptome Sequencing of Prostate Cancer Identify New Genetic Alterations Driving Disease Progression

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European urology 2018年第3期73卷 322-339页

作者： Shancheng Ren Gong-Hong Wei Dongbing Liu Liguo Wang Yong Hou Shida Zhu Lihua Peng Qin Zhang Yanbing Cheng Hong Su Xiuqing Zhou Jibin Zhang Fuqiang Li Hancheng Zheng Zhikun Zhao Changjun Yin Zengquan He Xin Gao Haiyen E Zhau Chia-Yi Chu Jason Boyang Wu Colin Collins Stanislav V Volik Robert Bell Jiaoti Huang Kui Wu Danfeng Xu Dingwei Ye Yongwei Yu Lianhui Zhu Meng Qiao Hang-Mao Lee Yuehong Yang Yasheng Zhu Xiaolei Shi Rui Chen Yang Wang Weidong Xu Yanqiong Cheng Chuanliang Xu Xu Gao Tie Zhou Bo Yang Jianguo Hou Li Liu Zhensheng Zhang Yao Zhu Chao Qin Pengfei Shao Jun Pang Leland W K Chung Jianfeng Xu Chin-Lee Wu Weide Zhong Xun Xu Yingrui Li Xiuqing Zhang Jian Wang Huanming Yang Jun Wang Haojie Huang Yinghao Sun Department of Urology Shanghai Changhai Hospital Second Military Medical University Shanghai China. Biocenter Oulu Faculty of Biochemistry and Molecular Medicine University of Oulu Oulu Finland. BGI-Shenzhen Shenzhen China China National GeneBank-Shenzhen BGI-Shenzhen Shenzhen China. Division of Biomedical Statistics and Informatics Mayo Clinic College of Medicine Rochester MN USA. China National GeneBank-Shenzhen BGI-Shenzhen Shenzhen China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Division of Genomics and Bioinformatics CUHK-BGI Innovation Institute of Trans-Omics The Chinese University of Hong Kong Hong Kong China. BGI Education Center University of Chinese Academy of Sciences Shenzhen China. BGI-Shenzhen Shenzhen China. School of Biological Science and Medical Engineering Southeast University Nanjing China State Key Laboratory of Bioelectronics Southeast University Nanjing China. Department of Urology The First Affiliated Hospital of Nanjing Medical University Nanjing China. Department of Urology The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou China. Uro-Oncology Research Program Department of Medicine Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center Los Angeles CA USA. Vancouver Prostate Centre and Department of Urologic Sciences University of British Columbia Vancouver BC Canada. Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los Angeles CA USA. Department of Urology Changzheng Hospital Second Military Medical University Shanghai China. Department of Urology Fudan University Shanghai Cancer Center Shanghai China. Department of Pathology Shanghai Changhai Hospital Second Military Medical University Shanghai China. State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China Program for Personalized Cancer Care NorthShore University HealthS

BACKGROUND:Global disparities in prostate cancer (PCa) incidence highlight the urgent need to identify genomic abnormalities in prostate tumors in different ethnic populations including Asian men. OBJECTIVE:To systematically explore the genomic complexity and define disease-driven genetic alterations in PCa. DESIGN, SETTING, AND PARTICIPANTS:The study sequenced whole-genome and transcriptome of tumor-benign paired tissues from 65 treatment-naive Chinese PCa patients. Subsequent targeted deep sequencing of 293 PCa-relevant genes was performed in another cohort of 145 prostate tumors. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS:The genomic alteration landscape in PCa was analyzed using an integrated computational pipeline. Relationships with PCa progression and survival were analyzed using nonparametric test, log-rank, and multivariable Cox regression analyses. RESULTS AND LIMITATIONS:We demonstrated an association of high frequency of CHD1 deletion with a low rate of TMPRSS2-ERG fusion and relatively high percentage of mutations in androgen receptor upstream activator genes in Chinese patients. We identified five putative clustered deleted tumor suppressor genes and provided experimental and clinical evidence that PCDH9, deleted/loss in approximately 23% of tumors, functions as a novel tumor suppressor gene with prognostic potential in PCa. Furthermore, axon guidance pathway genes were frequently deregulated, including gain/amplification of PLXNA1 gene in approximately 17% of tumors. Functional and clinical data analyses showed that increased expression of PLXNA1 promoted prostate tumor growth and independently predicted prostate tumor biochemical recurrence, metastasis, and poor survival in multi-institutional cohorts of patients with PCa. A limitation of this study is that other genetic alterations were not experimentally investigated. CONCLUSIONS:There are shared and salient genetic characteristics of PCa in Chinese and Caucasian men. Novel genetic alterations i

关键词： AR coactivator mutation Axon guidance pathway CHD1 deletion Chinese prostate cancer Clustered deleted tumor suppressor genes Personalized medicine Prognosis RNA-seq TMPRSS2-ERG fusion Whole genome sequencing

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Correction to: Identification of TBX15 as an adipose master trans regulator of abdominal obesity genes

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Genome medicine 2021年第1期13卷 139页

作者： David Z Pan Zong Miao Caroline Comenho Sandhya Rajkumar Amogha Koka Seung Hyuk T Lee Marcus Alvarez Dorota Kaminska Arthur Ko Janet S Sinsheimer Karen L Mohlke Nicholas Mancuso Linda Liliana Muñoz-Hernandez Miguel Herrera-Hernandez Maria Teresa Tusié-Luna Carlos Aguilar-Salinas Kirsi H Pietiläinen Jussi Pihlajamäki Markku Laakso Kristina M Garske Päivi Pajukanta Department of Human Genetics David Geffen School of Medicine at UCLA Los Angeles USA. Bioinformatics Interdepartmental Program UCLA Los Angeles USA. Computational and Systems Biology Interdepartmental Program UCLA Los Angeles USA. Institute of Public Health and Clinical Nutrition University of Eastern Finland Kuopio Finland. Department of Medicine David Geffen School of Medicine at UCLA Los Angeles USA. Department of Computational Medicine David Geffen School of Medicine at UCLA Los Angeles USA. Department of Genetics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA. Center for Genetic Epidemiology Department of Preventative Medicine Keck School of Medicine University of Southern California Los Angeles USA. Tecnologico de Monterrey Escuela de Medicina y Ciencias de la Salud Ave. Morones Prieto 3000 Monterrey N.L. México 64710. Unidad de Investigación de Enfermedades Metabólicas Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico. Departamento de Endocrinología y Metabolismo del Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico. Departamento de Cirugía Instituto Nacional de Ciencias Médicas y Nutrición Mexico City Mexico. Unidad de Biología Molecular y Medicina Genómica Instituto de Investigaciones Biomédicas UNAM/ Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico. Obesity Research Unit Research Program for Clinical and Molecular Metabolism Faculty of Medicine University of Helsinki Helsinki Finland. Obesity Center Endocrinology Abdominal Center Helsinki University Central Hospital and University of Helsinki Helsinki Finland. Department of Medicine Endocrinology and Clinical Nutrition Kuopio University Hospital Kuopio Finland. Department of Medicine University of Eastern Finland and Kuopio University Hospital Kuopio Finland. Department of Human Genetics David Geffen School of Medicine at UCLA Los Angeles USA. ppajukant

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The ABCs of Experimental Evolution

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International Scholarly Research Notices 2013年第1期2013卷

作者： Zaid Abdo Mathew Stein Andrzej Wojtowicz Kim M. Pepin Departments of Statistics University of Idaho Moscow ID 83844 USAuidaho.edu Department of Mathematics University of Idaho Moscow ID 83844 USAuidaho.edu Program of Bioinformatics and Computational Biology (BCB) University of Idaho Moscow ID 83844 USAuidaho.edu USDA-ARS South Atlantic Area 950 College Station Road Athens GA 30605-2720 USA Department of Computer Engineering University of Idaho Moscow ID 83844 USAuidaho.edu Micron Technology Inc. Boise ID 83716 *** Department of Animal Sciences Washington State University Pullman WA 99164 USAwsu.edu Fogarty International Center National Institutes of Health 31 Center Drive MSC 2220 Bethesda MD 20892-2220 USAfic.nih.gov Department of Biology Colorado State University Campus Delivery 1878 Fort Collins CO 80523 USAcolostate.edu

Microbial evolution is complex and is influenced by many sources of variation. Experimental evolution is no exception, although it is more controlled, easily replicated, and typically devoid of interactions between species. Mathematical modeling of the evolutionary process can help in understanding the underlying mechanisms that drive outcome of such experiments. These models can be complex and parameter rich, limiting their feasibility for statistical inference. In this paper, we introduce the use of Approximate Bayesian Computation (ABC) as a tool for statistical inference in the study of experimental evolution. ABC is a fast and simple method for fitting complex models to data. We utilize this method, coupled with a mechanistic model of experimental evolution, to study the evolution process of bacteriophage ϕ X174 under benign selection pressure. Our results highlight three mutation-selection scenarios that could explain this process: high mutation/low selection pressure, low mutation/high selection pressure, and low mutation/low selection pressure, with posterior support of 19%, 9.5%, and 71.5% for each of these scenarios, respectively. Sequence data support the first candidate. Though surprising, this scenario was not improbable based on our analysis.

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Bulk and single cell transcriptomic analysis of different dementia types in human hippocampus

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Alzheimer's & Dementia 2022年第S3期18卷

作者： Oluwatosin A Olayinka Junming Hu Nicholas K O'Neill Melissa Wong Hannah Rickner Irene Simkin Thor D. Stein Benjamin Wolozin Xiaoling Zhang Lindsay A. Farrer Boston University Boston MA USA Boston University Alzheimer’s Disease Research Center Boston MA USA Boston University School of Medicine Boston MA USA VA Boston Healthcare System Jamaica Plain MA USA VA Boston Healthcare System Boston MA USA Department of Veterans Affairs Medical Center Bedford MA USA Boston University School of Public Health Boston MA USA Boston University Bioinformatics Program Boston MA USA Department of Neurology Boston University School of Medicine Boston MA USA Boston University School of Medicine Department of Medicine Biomedical Genetics Boston MA USA Department of Epidemiology Boston University School of Public Health Boston MA USA Department of Biostatistics Boston University School of Public Health Boston MA USA Department of Ophthalmology Boston University School of Medicine Boston MA USA

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Author Correction: Whole genome sequencing reveals the impact of recent artificial selection on red sea bream reared in fish farms

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Scientific reports 2020年第1期10卷 1625页

作者： Bo-Hye Nam DongAhn Yoo Young-Ok Kim Jung Youn Park Younhee Shin Ga-Hee Shin Chan-Il Park Heebal Kim Woori Kwak Biotechnology Research Division National Institute of Fisheries Science Busan 46083 Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Research and Development Center Insilicogen Inc. Gyeonggi-do 16954 Republic of Korea. Department of Marine Biology & Aquaculture Gyeongsang National University Tongyeong 53064 Republic of Korea. C&K genomics 26 Beobwon-ro 9-gil H business Park Bldg. C #1008 Songpa-gu Seoul Republic of Korea. Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences 7 Seoul National University Seoul Republic of Korea. C&K genomics 26 Beobwon-ro 9-gil H business Park Bldg. C #1008 Songpa-gu Seoul Republic of Korea. asleo@***.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Author Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured

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Genome biology 2023年第1期24卷 32页

作者： Tianyi Sun Dongyuan Song Wei Vivian Li Jingyi Jessica Li Department of Statistics University of California 90095-1554 Los Angeles CA USA. Interdepartmental Program of Bioinformatics University of California 90095-7246 Los Angeles CA USA. Department of Biostatistics and Epidemiology Rutgers School of Public Health 08854 Piscataway NJ USA. vivian.li@rutgers.edu. Department of Statistics University of California 90095-1554 Los Angeles CA USA. jli@stat.ucla.edu. Department of Human Genetics University of California 90095-7088 Los Angeles CA USA. jli@stat.ucla.edu. Department of Computational Medicine University of California 90095-1766 Los Angeles CA USA. jli@stat.ucla.edu. Department of Biostatistics University of California 90095-1772 Los Angeles CA USA. jli@stat.ucla.edu.

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Anethole mitigates H2O2-induced inflammation in HIG-82 synoviocytes by suppressing the aquaporin 1 expression and activating the protein kinase A pathway

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Environmental Toxicology 2024年第2期39卷 965-978页

作者： Huang, Tai-Lung Chang, Yu-Chun Tsai, Bruce Chi-Kang Chen, Tung-Sheng Kao, Shih-Wen Tsai, Yung-Yun Lin, Shinn-Zong Yao, Chun-Hsu Lin, Kuan-Ho Kuo, Wei-Wen Huang, Chih-Yang Department of Biological Science and Technology College of Life Sciences China Medical University Taichung Taiwan Department of Orthopedics Chung-Kang Branch Cheng Ching General Hospital Taichung Taiwan Cardiovascular and Mitochondrial Related Disease Research Center Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Hualien Taiwan School of Life Science National Taiwan Normal University Taipei Taiwan Department of Orthopaedic Surgery Chung-Shan Medical University Hospital Taichung Taiwan Department of Physical Therapy Asia University Taichung Taiwan Department of Neurosurgery Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Hualien Taiwan Bioinnovation Center Buddhist Tzu Chi Medical Foundation Hualien Taiwan Department of Biomedical Imaging and Radiological Science China Medical University Taichung Taiwan School of Chinese Medicine China Medical University Taichung Taiwan Biomaterials Translational Research Center China Medical University Hospital Taichung Taiwan Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan Division of Cardiovascular Medicine Department of Internal Medicine China Medical University Hospital Taichung Taiwan Department of Emergency Medicine China Medical University Hospital Taichung Taiwan College of Medicine China Medical University Taichung Taiwan Ph.D. Program for Biotechnology Industry China Medical University Taichung Taiwan Department of Medical Research China Medical University Hospital China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Department of Medical Laboratory Science and Biotechnology Asia University Taichung Taiwan Center of General Education Buddhist Tzu Chi Medical Foundation Tzu Chi University of Science and Technology Hualien Taiwan

Rheumatoid arthritis (RA) is an autoimmune inflammatory disease affecting approximately 1% of the global population, with a higher prevalence in women than in men. Chronic inflammation and oxidative stress play pivotal roles in the pathogenesis of RA. Anethole, a prominent compound derived from fennel (Foeniculum vulgare), possesses a spectrum of therapeutic properties, including anti-arthritic, anti-inflammatory, antioxidant, and tumor-suppressive effects. However, its specific impact on RA remains underexplored. This study sought to uncover the potential therapeutic value of anethole in treating RA by employing an H2O2-induced inflammation model with HIG-82 synovial cells. Our results demonstrated that exposure to H2O2 induced the inflammation and apoptosis in these cells. Remarkably, anethole treatment effectively countered these inflammatory and apoptotic processes triggered by H2O2. Moreover, we identified the aquaporin 1 (AQP1) and protein kinase A (PKA) pathway as critical regulators of inflammation and apoptosis. H2O2 stimulation led to an increase in the AQP1 expression and a decrease in p-PKA-C, contributing to cartilage degradation. Conversely, anethole not only downregulated the AQP1 expression but also activated the PKA pathway, effectively suppressing cell inflammation and apoptosis. Furthermore, anethole also inhibited the enzymes responsible for cartilage degradation. In summary, our findings highlight the potential of anethole as a therapeutic agent for mitigating H2O2-induced inflammation and apoptosis in synovial cells, offering promising prospects for future RA treatments. © 2023 Wiley Periodicals LLC.

关键词： Cell death

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Correction to: Specific Susceptibility to COVID-19 in Adults with Down Syndrome

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Neuromolecular medicine 2021年第4期23卷 572-573页

作者： Tomer Illouz Arya Biragyn Milana Frenkel-Morgenstern Orly Weissberg Alessandro Gorohovski Eugene Merzon Ilan Green Florencia Iulita Lisi Flores-Aguilar Mara Dierssen Ilario De Toma Hefziba Lifshitz Stylianos E Antonarakis Eugene Yu Yann Herault Marie-Claude Potier Alexandra Botté Randall Roper Benjamin Sredni Ronit Sarid Jacqueline London William Mobley Andre Strydom Eitan Okun The Leslie and Susan Gonda Multidisciplinary Brain Research Center Bar-Ilan University 5290002 Ramat-Gan Israel. The Paul Feder Laboratory On Alzheimer's Disease Research Bar-Ilan University 5290002 Ramat-Gan Israel. Laboratory of Molecular Biology and Immunology NIA Baltimore MD 21224 USA. Cancer Genomics and BioComputing of Complex Diseases Lab Azrieli Faculty of Medicine Bar-Ilan University Safed Israel. Leumit Health Services Department of Family Medicine Sackler School of Medicine Tel Aviv University Tel Aviv-Yafo Israel. Sant Pau Memory Unit Department of Neurology Hospital de La Santa Creu I Sant Pau Barcelona Spain. Biomedical Research Institute Sant Pau Universitat Autònoma de Barcelona Barcelona Spain. Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED) Madrid Spain. Alzheimer-Down Unit Fundación Catalana Síndrome de Down Barcelona Spain. Department of Anatomy and Cell Biology McGill University Montreal Canada. Center for Genomic Regulation The Barcelona Institute for Science and Technology Barcelona Spain. University Pompeu Fabra Barcelona Spain. Biomedical Research Networking Center for Rare Diseases (CIBERER) Barcelona Spain. Cellular & Systems Neurobiology Systems Biology Program The Barcelona Institute of Science and Technology Centre for Genomic Regulation (CRG) Dr. Aiguader 88 08003 Barcelona Spain. Universitat Pompeu Fabra (UPF) Barcelona Spain. Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) Madrid Spain. School of Education Bar-Ilan University 5290002 Ramat-Gan Israel. Department of Genetic Medicine and Development University of Geneva 1211 Geneva Switzerland. Medigenome Swiss Institute of Genomic Medicine 1207 Geneva Switzerland. iGE3 Institute of Genetics and Genomics of Geneva 1211 Geneva Switzerland. The Children's Guild Foundation Down Syndrome Research Program Genetics and Genomics Program and Department of Cancer Genetics and Genomics Roswell Park Comprehensi

A correction to this paper has been published: https://***/10.1007/s12017-021-08657-z

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Correction: The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes

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BMC genomics 2024年第1期25卷 537页

作者： Rick Masonbrink Tom R Maier Usha Muppirala Arun S Seetharam Etienne Lord Parijat S Juvale Jeremy Schmutz Nathan T Johnson Dmitry Korkin Melissa G Mitchum Benjamin Mimee Sebastian Eves-van den Akker Matthew Hudson Andrew J Severin Thomas J Baum Department of Plant Pathology Iowa State University Ames IA USA. Genome Informatics Facility Iowa State University Ames IA USA. Agriculture and Agri-Food Canada Saint-Jean-sur-Richelieu QC Canada. Department of Energy Joint Genome Institute Walnut Creek CA USA. HudsonAlpha Institute for Biotechnology Huntsville AL USA. Bioinformatics and Computational Biology Program Worcester Polytechnic Institute Worcester MA USA. Department of Computer Science Worcester Polytechnic Institute Worcester MA USA. Division of Plant Sciences University of Missouri Columbia MO USA. Department of Plant Sciences University of Cambridge Cambridge UK. Department of Crop Sciences University of Illinois Urbana IL USA. Genome Informatics Facility Iowa State University Ames IA USA. severin@iastate.edu.

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