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Sauerstoffmessung in der Biomedizin – von der Makro‐ zur Mikroebene

Angewandte Chemie 2015年第29期127卷

作者： Emmanuel Roussakis Zongxi Li Alexander J. Nichols Conor L. Evans Wellman Center for Photomedicine Massachusetts General Hospital CNY 149‐3210 13th Street Charlestown MA 02129 (USA)18F Harvard University Program in Biophysics Building C2 Room 112 240 Longwood Avenue Boston MA 02115 (USA) Harvard‐MIT Division of Health Sciences and Technology 77 Massachusetts Avenue E25‐519 Cambridge MA 02139 (USA)

Der Messung von Sauerstoff sind wegen dessen zentraler Rolle in der Biochemie des Lebens bereits umfassende Studien gewidmet worden. Um Mechanismen unter normalen physiologischen Verhältnissen ebenso wie bei Krankheitszuständen untersuchen und verstehen zu können, ist es notwendig, die physiologische Verteilung und die Dynamik von Sauerstoff auf subzellulärer und makroskopischer Ebene in Echtzeit quantifizieren zu können. Dieser Aufsatz diskutiert die wichtigsten aktuellen Fortschritte bei der Entwicklung von Sauerstoffsensormaterialien und stellt dabei polarographische, nuklearmedizinische, Magnetresonanz‐basierte und optische Techniken vor, die eine spezifische Verfolgung der Sauerstoffdynamik in Zell‐ und Gewebsumgebungen in Echtzeit ermöglichen. Da einige der interessantesten Fortschritte bezüglich Synthesemethoden und biomedizinischen Anwendungen auf dem Gebiet der optischen Sauerstoffsensoren zu verzeichnen sind, werden wir einen Schwerpunkt auf die Entwicklung dieser Konzepte legen.

关键词： Hypoxie Molekulare Bildgebung Sauerstoffanreicherung Sauerstoffmessung Phosphoreszenzlöschung

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Corrigendum to 'Engineered cell-laden human protein-based elastomer' [34 (2013), 5496-5505]

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Biomaterials 2024年 308卷 122572页

作者： Nasim Annabi Suzanne M mithieux Pinar Zorlutuna Gulden Camci-Unal Anthony S Weiss Ali Khademhosseini Center for Biomedical Engineering Department of Medicine Brigham and Women's Hospital Harvard Medical School Boston MA 02139 USA Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA 02139 USA Wyss Institute for Biologically Inspired Engineering Harvard University Cambridge MA 02139 USA. School of Molecular Bioscience University of Sydney Sydney 2006 Australia. Biomedical Engineering Program and Mechanical Engineering Department University of Connecticut 191 Auditorium Road Storrs CT 06269-3139 USA. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA 02139 USA. School of Molecular Bioscience University of Sydney Sydney 2006 Australia Bosch Institute University of Sydney Sydney 2006 Australia Charles Perkins Centre University of Sydney Sydney 2006 Australia. Wyss Institute for Biologically Inspired Engineering Harvard University Cambridge MA 02139 USA. Electronic address: khademh@***.

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Author Correction: Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants

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Nature medicine 2024年第1期30卷 307页

作者： Nicole L Welch Meilin Zhu Catherine Hua Juliane Weller Marzieh Ezzaty Mirhashemi Tien G Nguyen Sreekar Mantena Matthew R Bauer Bennett M Shaw Cheri M Ackerman Sri Gowtham Thakku Megan W Tse Jared Kehe Marie-Martine Uwera Jacqueline S Eversley Derek A Bielwaski Graham McGrath Joseph Braidt Jeremy Johnson Felecia Cerrato Gage K Moreno Lydia A Krasilnikova Brittany A Petros Gabrielle L Gionet Ewa King Richard C Huard Samantha K Jalbert Michael L Cleary Nicholas A Fitzgerald Stacey B Gabriel Glen R Gallagher Sandra C Smole Lawrence C Madoff Catherine M Brown Matthew W Keller Malania M Wilson Marie K Kirby John R Barnes Daniel J Park Katherine J Siddle Christian T Happi Deborah T Hung Michael Springer Bronwyn L MacInnis Jacob E Lemieux Eric Rosenberg John A Branda Paul C Blainey Pardis C Sabeti Cameron Myhrvold Broad Institute of MIT and Harvard Cambridge MA USA. nicole_welch@g.harvard.edu. Harvard Program in Virology Division of Medical Sciences Harvard Medical School Boston MA USA. nicole_welch@g.harvard.edu. Broad Institute of MIT and Harvard Cambridge MA USA. Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA USA. Division of Infectious Diseases Department of Medicine Massachusetts General Hospital Boston MA USA. Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK. Harvard Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA. Division of Health Sciences and Technology Harvard Medical School and Massachusetts Institute of Technology Cambridge MA USA. Department of Organismic and Evolutionary Biology Harvard University Cambridge MA USA. Harvard/Massachusetts Institute of Technology MD-PhD Program Harvard Medical School Boston MA USA. Department of Systems Biology Harvard Medical School Boston MA USA. State Health Laboratories Rhode Island Department of Health Providence RI USA. Massachusetts Department of Public Health Boston MA USA. Influenza Division National Center for Immunization and Respiratory Diseases Centers for Disease Control and Prevention Atlanta GA USA. African Centre of Excellence for Genomics of Infectious Diseases Redeemer's University Ede Nigeria. Department of Biological Sciences College of Natural Sciences Redeemer's University Ede Nigeria. Molecular Biology Department and Center for Computational and Integrative Biology Massachusetts General Hospital Boston MA USA. Department of Immunology and Infectious Disease Harvard T.H. Chan School of Public Health Harvard University Boston MA USA. Department of Pathology Massachusetts General Hospital and Harvard Medical School Boston MA USA. Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology Cambridge MA USA. Broad Institute of MIT and Harvard Cambridge MA USA. pardis

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Shared genetic architectures of educational attainment in East Asian and European populations

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Nature human behaviour 2024年第3期8卷 562-575页

作者： Tzu-Ting Chen Jaeyoung Kim Max Lam Yi-Fang Chuang Yen-Ling Chiu Shu-Chin Lin Sang-Hyuk Jung Beomsu Kim Soyeon Kim Chamlee Cho Injeong Shim Sanghyeon Park Yeeun Ahn Aysu Okbay Hyemin Jang Hee Jin Kim Sang Won Seo Woong-Yang Park Tian Ge Hailiang Huang Yen-Chen Anne Feng Yen-Feng Lin Woojae Myung Chia-Yen Chen Hong-Hee Won Center for Neuropsychiatric Research National Health Research Institutes Miaoli Taiwan. Department of Digital Health Samsung Advanced Institute for Health Sciences and Technology (SAIHST) Sungkyunkwan University Samsung Medical Center Seoul South Korea. Department of Neuropsychiatry Seoul National University Bundang Hospital Seongnam South Korea. Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA. Department of Medicine Harvard Medical School Boston MA USA. Human Genetics Genome Institute of Singapore Singapore Singapore. Division of Psychiatry Research the Zucker Hillside Hospital Northwell Health Glen Oaks NY USA. Research Division Institute of Mental Health Singapore Singapore Singapore. Institute of Public Health and International Health Program College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan. Graduate Institute of Medicine Yuan Ze University Taoyuan City Taiwan. Department of Medical Research Far Eastern Memorial Hospital New Taipei City Taiwan. Department of Biostatistics Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Stanley Center for Psychiatric Research the Broad Institute of MIT and Harvard Cambridge MA USA. Department of Economics School of Business and Economics Vrije Universiteit Amsterdam Amsterdam the Netherlands. Departments of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea. Alzheimer's Disease Convergence Research Center Samsung Medical Center Seoul South Korea. Samsung Genome Institute Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea. Psychiatric and Neurodevelopmental Genetics Unit Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. Department of Psychiatry Massachusetts General Hospital Harvard Medical School Boston MA USA. Institute of Health Data Analytics and Statistics College of Public Health

Educational attainment (EduYears), a heritable trait often used as a proxy for cognitive ability, is associated with various health and social outcomes. Previous genome-wide association studies (GWASs) on EduYears have been focused on samples of European (EUR) genetic ancestries. Here we present the first large-scale GWAS of EduYears in people of East Asian (EAS) ancestry (n = 176,400) and conduct a cross-ancestry meta-analysis with EduYears GWAS in people of EUR ancestry (n = 766,345). EduYears showed a high genetic correlation and power-adjusted transferability ratio between EAS and EUR. We also found similar functional enrichment, gene expression enrichment and cross-trait genetic correlations between two populations. Cross-ancestry fine-mapping identified refined credible sets with a higher posterior inclusion probability than single population fine-mapping. Polygenic prediction analysis in four independent EAS and EUR cohorts demonstrated transferability between populations. Our study supports the need for further research on diverse ancestries to increase our understanding of the genetic basis of educational attainment.

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Publisher Correction: Slide-tags enables single-nucleus barcoding for multimodal spatial genomics

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Nature 2024年第7994期625卷 E11页

作者： Andrew J C Russell Jackson A Weir Naeem M Nadaf Matthew Shabet Vipin Kumar Sandeep Kambhampati Ruth Raichur Giovanni J Marrero Sophia Liu Karol S Balderrama Charles R Vanderburg Vignesh Shanmugam Luyi Tian J Bryan Iorgulescu Charles H Yoon Catherine J Wu Evan Z Macosko Fei Chen Broad Institute of Harvard and MIT Cambridge MA USA. Department of Stem Cell and Regenerative Biology Harvard University Cambridge MA USA. Biological and Biomedical Sciences Program Harvard University Cambridge MA USA. Department of Biomedical Informatics Harvard University Boston MA USA. Biophysics Program Harvard University Boston MA USA. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA USA. Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Guangzhou Laboratory Guangdong China. Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA. Department of Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. Division of Stem Cell Transplantation and Cellular Therapies Dana-Farber Cancer Institute Boston MA USA. Molecular Diagnostics Laboratory Department of Hematopathology Division of Pathology and Laboratory Medicine The University of Texas MD Anderson Cancer Center Houston TX USA. Department of Surgical Oncology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Broad Institute of Harvard and MIT Cambridge MA USA. emacosko@***. Department of Psychiatry Massachusetts General Hospital Boston MA USA. emacosko@***. Broad Institute of Harvard and MIT Cambridge MA USA. chenf@***. Department of Stem Cell and Regenerative Biology Harvard University Cambridge MA USA. chenf@***.

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Anxiety and Depression Associated With Increased Cardiovascular Disease Risk Through Accelerated Development of Risk Factors

JACC: Advances

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JACC: Advances 2024年第9期3卷 101208-101208页

作者： Civieri, Giovanni Abohashem, Shady Grewal, Simran S. Aldosoky, Wesam Qamar, Iqra Hanlon, Erin Choi, Karmel W. Shin, Lisa M. Rosovsky, Rachel P. Bollepalli, Sandeep Chandra Lau, Hui Chong Armoundas, Antonis Seligowski, Antonia V. Turgeon, Sarah M. Pitman, Roger K. Tona, Francesco Wasfy, Jason H. Smoller, Jordan W. Iliceto, Sabino Goldstein, Jill Gebhard, Catherine Osborne, Michael T. Tawakol, Ahmed Cardiovascular Imaging Research Center Massachusetts General Hospital and Harvard Medical School Boston MA United States Department of Cardiac Thoracic Vascular Sciences and Public Health University of Padua Padua Italy Cardiology Division Massachusetts General Hospital and Harvard Medical School Boston MA United States Department of Psychiatry Harvard Medical School Boston MA United States Psychiatric & Neurodevelopmental Genetics Unit Center for Genomic Medicine Massachusetts General Hospital Boston MA United States Center for Precision Psychiatry Department of Psychiatry Massachusetts General Hospital Boston MA United States Department of Psychology Tufts University Medford MA United States Department of Psychiatry Massachusetts General Hospital and Harvard Medical School Charlestown MA United States Department of Medicine Massachusetts General Hospital and Harvard Medical School Boston MA United States Cardiovascular Research Center Massachusetts General Hospital Boston MA United States Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge MA United States Neuroscience Program Amherst College Amherst MA United States Broad Institute of MIT and Harvard Cambridge MA United States Innovation Center on Sex Differences in Medicine (ICON-X) Massachusetts General Hospital Boston MA United States Department of Nuclear Medicine University Hospital Zurich Zurich Switzerland Center for Molecular Cardiology University of Zurich Zurich Switzerland Department of Cardiology University Hospital Inselspital Bern Bern Switzerland

Background: Prior studies have incompletely assessed whether the development of cardiometabolic risk factors (CVDRF) (hypertension, hyperlipidemia, and diabetes mellitus) mediates the association between anxiety and depression (anxiety/depression) and cardiovascular disease (CVD). Objectives: The authors aimed to evaluate the following: 1) the association between anxiety/depression and incident CVDRFs and whether this association mediates the increased CVD risk;and 2) whether neuro-immune mechanisms and age and sex effects may be involved. Methods: Using a retrospective cohort design, Mass General Brigham Biobank subjects were followed for 10 years. Presence and timing of anxiety/depression, CVDRFs, and CVD were determined using ICD codes. Stress-related neural activity, chronic inflammation, and autonomic function were measured by the assessment of amygdalar-to-cortical activity ratio, high-sensitivity CRP, and heart rate variability. Multivariable regression and mediation analyses were employed. Results: Among 71,214 subjects (median age 49.6 years;55.3% female), 27,048 (38.0%) developed CVDRFs during follow-up. Pre-existing anxiety/depression associated with increased risk of incident CVDRF (OR: 1.71 [95% CI: 1.59-1.83], P < 0.001) and with a shorter time to their development (β = −0.486 [95% CI: −0.62 to −0.35], P < 0.001). The development of CVDRFs mediated the association between anxiety/depression and CVD events (log-odds: 0.044 [95% CI: 0.034-0.055], P < 0.05). Neuro-immune pathways contributed to the development of CVDRFs (P < 0.05 each) and significant age and sex effects were noted: younger women experienced the greatest acceleration in the development of CVDRFs after anxiety/depression. Conclusions: Anxiety/depression accelerate the development of CVDRFs. This association appears to be most notable among younger women and may be mediated by stress-related neuro-immune pathways. Evaluations of tailored preventive measures for individuals with anxiety/depr

关键词： amygdala cardiometabolic mental health neuro immune prevention sex differences

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Association of Genetic Variation in the Natriuretic Peptide System with Cardiovascular Outcomes

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Heart, Lung and Circulation 2010年 19卷 S230-S230页

作者： K. Ellis C. Newton-Cheh T. Wang C. Frampton R. Doughty G. Whalley C. Ellis N. Davis L. Skelton T. Yandle R. Troughton M. Richards V. Cameron University of Otago-Christchurch New Zealand Center for Human Genetic Research Massachusetts General Hospital Boston MA USA Cardiovascular Research Center Cardiology Division Massachusetts General Hospital Boston MA USA Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department of Medicine Faculty of Medicine and Health Sciences University of Auckland Auckland New Zealand Department of Medical Imaging Unitec Institute of Technology Auckland New Zealand

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Balanced Chromosomal Rearrangement Detection by Low-Pass Whole-Genome Sequencing

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Current Protocols in Human Genetics 2018年第1期96卷 8.18.1-8.18.16页

作者： Dong, Zirui Ye, Lingfei Yang, Zhenjun Chen, Haixiao Yuan, Jianying Wang, Huilin Guo, Xiaosen Li, Yun Wang, Jun Chen, Fang Cheung, Sau Wai Morton, Cynthia C. Jiang, Hui Choy, Kwong Wai Department of Obstetrics and Gynaecology The Chinese University of Hong Kong Hong Kong Shenzhen Research Institute The Chinese University of Hong Kong Shenzhen China BGI-Shenzhen Shenzhen China China National Genebank-Shenzhen BGI-Shenzhen Shenzhen China School of Biology and Biological Engineering South China University of Technology Guangzhou China Department of Central Laboratory Bao'an Maternity and Child Healthcare Hospital Jinan University School of Medicine Key Laboratory of Birth Defects Research Birth Defects Prevention Research and Transformation Team Shenzhen China The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics Hong Kong Department of Molecular and Human Genetics Baylor College of Medicine Houston TX United States Departments of Pathology and of Obstetrics and Gynecology Brigham and Women's Hospital Boston MA United States Harvard Medical School Boston MA United States Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA United States Division of Evolution and Genomic Sciences School of Biological Sciences University of Manchester Manchester Academic Health Science Center Manchester United Kingdom

Balanced chromosomal rearrangements (or balanced chromosome abnormalities, BCAs) are common chromosomal structural variants. Emerging studies have demonstrated the feasibility of using whole-genome sequencing (WGS) for detection of BCA-associated breakpoints, but the requirement for a priori knowledge of the rearranged regions from G-banded chromosome analysis limits its application. The protocols described here are based on low-pass WGS for detecting BCA events independent from chromosome analysis, and has been validated using genomic data from the 1000 Genomes Project. This approach adopts non-size-selected mate-pair library (3∼8 kb) with 2∼3 μg DNA as input, and requires only 30 million read-pairs (50 bp, equivalent to 1-fold base-coverage) for each sample. The complete procedure takes 13 days and the total cost is estimated to be less than $600 (USD) per sample. © 2018 by John Wiley & Sons, Inc. Copyright © 2018 John Wiley & Sons, Inc.

关键词： balanced translocations chromosomal structural rearrangements inversions low-pass whole-genome sequencing

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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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