Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS)

  • Harada Sei
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University
  • Iida Miho
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University
  • Miyagawa Naoko
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Hirata Aya
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Kuwabara Kazuyo
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Matsumoto Minako
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Okamura Tomonori
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Edagawa Shun
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Kawada Yoko
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Miyake Atsuko
    Department of Obstetrics and Gynecology, Keio University School of Medicine
  • Toki Ryota
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Akiyama Miki
    Institute for Advanced Biosciences, Keio University Faculty of Environment and Information Studies, Keio University
  • Kawai Atsuki
    Institute for Advanced Biosciences, Keio University
  • Sugiyama Daisuke
    Faculty of Nursing and Medical Care and Graduate School of Health Management, Keio University
  • Sato Yasunori
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital
  • Takemura Ryo
    Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital
  • Fukai Kota
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Ishibashi Yoshiki
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Kato Suzuka
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Kurihara Ayako
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Sata Mizuki
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Shibuki Takuma
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Takeuchi Ayano
    Department of Preventive Medicine and Public Health, Keio University School of Medicine
  • Kohsaka Shun
    Department of Cardiology, Keio University School of Medicine
  • Sawano Mitsuaki
    Department of Cardiology, Keio University School of Medicine
  • Shoji Satoshi
    Department of Cardiology, Keio University School of Medicine Duke Clinical Research Institute
  • Izawa Yoshikane
    Department of Neurology, Keio University School of Medicine
  • Katsumata Masahiro
    Department of Neurology, Keio University School of Medicine
  • Oki Koichi
    Department of Neurology, Keio University School of Medicine Department of Neurology, Tokyo Saiseikai Central Hospital
  • Takahashi Shinichi
    Department of Neurology, Keio University School of Medicine Department of Neurology and Stroke, Saitama Medical University International Medical Center
  • Takizawa Tsubasa
    Department of Neurology, Keio University School of Medicine
  • Maruya Hiroshi
    Shonai Hospital
  • Nishiwaki Yuji
    Department of Environmental and Occupational Health, School of Medicine, Toho University
  • Kawasaki Ryo
    Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
  • Hirayama Akiyoshi
    Institute for Advanced Biosciences, Keio University
  • Ishikawa Takamasa
    Institute for Advanced Biosciences, Keio University
  • Saito Rintaro
    Institute for Advanced Biosciences, Keio University
  • Sato Asako
    Institute for Advanced Biosciences, Keio University
  • Soga Tomoyoshi
    Institute for Advanced Biosciences, Keio University
  • Sugimoto Masahiro
    Institute for Advanced Biosciences, Keio University
  • Tomita Masaru
    Institute for Advanced Biosciences, Keio University
  • Komaki Shohei
    Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Ohmomo Hideki
    Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Ono Kanako
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Otsuka-Yamasaki Yayoi
    Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Shimizu Atsushi
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Sutoh Yoichi
    Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
  • Hozawa Atsushi
    Tohoku Medical Megabank Organization, Tohoku University Graduate School of Medicine, Tohoku University
  • Kinoshita Kengo
    Tohoku Medical Megabank Organization, Tohoku University Graduate School of Information Sciences, Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University Institute of Development, Aging and Cancer, Tohoku University
  • Koshiba Seizo
    Tohoku Medical Megabank Organization, Tohoku University
  • Kumada Kazuki
    Tohoku Medical Megabank Organization, Tohoku University
  • Ogishima Soichi
    Tohoku Medical Megabank Organization, Tohoku University
  • Sakurai-Yageta Mika
    Tohoku Medical Megabank Organization, Tohoku University
  • Tamiya Gen
    Tohoku Medical Megabank Organization, Tohoku University Graduate School of Medicine, Tohoku University Center for Advanced Intelligence Project, RIKEN
  • Takebayashi Toru
    Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University

抄録

<p>The Tsuruoka Metabolomics Cohort Study (TMCS) is an ongoing population-based cohort study being conducted in the rural area of Yamagata Prefecture, Japan. This study aimed to enhance the precision prevention of multi-factorial, complex diseases, including non-communicable and aging-associated diseases, by improving risk stratification and prediction measures. At baseline, 11,002 participants aged 35–74 years were recruited in Tsuruoka City, Yamagata Prefecture, Japan, between 2012 and 2015, with an ongoing follow-up survey. Participants underwent various measurements, examinations, tests, and questionnaires on their health, lifestyle, and social factors. This study used an integrative approach with deep molecular profiling to identify potential biomarkers linked to phenotypes that underpin disease pathophysiology and provide better mechanistic insights into social health determinants. The TMCS incorporates multi-omics data, including genetic and metabolomic analyses of 10,933 participants and comprehensive data collection ranging from physical, psychological, behavioral, and social to biological data. The metabolome is used as a phenotypic probe because it is sensitive to changes in physiological and external conditions. The TMCS focuses on collecting outcomes for cardiovascular disease, cancer incidence and mortality, disability, functional decline due to aging and disease sequelae, and the variation in health status within the body represented by omics analysis that lies between exposure and disease. It contains several sub-studies on aging, heated tobacco products, and women's health. This study is notable for its robust design, high participation rate (89%), and long-term repeated surveys. Moreover, it contributes to precision prevention in Japan and East Asia as a well-established multi-omics platform.</p>

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