Journal of Epidemiology (Aug 2024)
Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS)
- Sei Harada,
- Miho Iida,
- Naoko Miyagawa,
- Aya Hirata,
- Kazuyo Kuwabara,
- Minako Matsumoto,
- Tomonori Okamura,
- Shun Edagawa,
- Yoko Kawada,
- Atsuko Miyake,
- Ryota Toki,
- Miki Akiyama,
- Atsuki Kawai,
- Daisuke Sugiyama,
- Yasunori Sato,
- Ryo Takemura,
- Kota Fukai,
- Yoshiki Ishibashi,
- Suzuka Kato,
- Ayako Kurihara,
- Mizuki Sata,
- Takuma Shibuki,
- Ayano Takeuchi,
- Shun Kohsaka,
- Mitsuaki Sawano,
- Satoshi Shoji,
- Yoshikane Izawa,
- Masahiro Katsumata,
- Koichi Oki,
- Shinichi Takahashi,
- Tsubasa Takizawa,
- Hiroshi Maruya,
- Yuji Nishiwaki,
- Ryo Kawasaki,
- Akiyoshi Hirayama,
- Takamasa Ishikawa,
- Rintaro Saito,
- Asako Sato,
- Tomoyoshi Soga,
- Masahiro Sugimoto,
- Masaru Tomita,
- Shohei Komaki,
- Hideki Ohmomo,
- Kanako Ono,
- Yayoi Otsuka-Yamasaki,
- Atsushi Shimizu,
- Yoichi Sutoh,
- Atsushi Hozawa,
- Kengo Kinoshita,
- Seizo Koshiba,
- Kazuki Kumada,
- Soichi Ogishima,
- Mika Sakurai-Yageta,
- Gen Tamiya,
- Toru Takebayashi
Affiliations
- Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Miho Iida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Naoko Miyagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Aya Hirata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Kazuyo Kuwabara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Minako Matsumoto
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Shun Edagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Yoko Kawada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Atsuko Miyake
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
- Ryota Toki
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Miki Akiyama
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Atsuki Kawai
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Daisuke Sugiyama
- Faculty of Nursing and Medical Care and Graduate School of Health Management, Keio University, Kanagawa, Japan
- Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Ryo Takemura
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan
- Kota Fukai
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Yoshiki Ishibashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Suzuka Kato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Ayako Kurihara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Mizuki Sata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Takuma Shibuki
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Ayano Takeuchi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
- Mitsuaki Sawano
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
- Satoshi Shoji
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
- Yoshikane Izawa
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Masahiro Katsumata
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Koichi Oki
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Shinichi Takahashi
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Tsubasa Takizawa
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Hiroshi Maruya
- Shonai Hospital, Yamagata, Japan
- Yuji Nishiwaki
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
- Ryo Kawasaki
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
- Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Takamasa Ishikawa
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Rintaro Saito
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Asako Sato
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Shohei Komaki
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Hideki Ohmomo
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Kanako Ono
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Atsushi Shimizu
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Yoichi Sutoh
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Seizo Koshiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Mika Sakurai-Yageta
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- DOI
- https://doi.org/10.2188/jea.JE20230192
- Journal volume & issue
-
Vol. 34,
no. 8
pp. 393 – 401
Abstract
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 uses 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 and 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.
Keywords
