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Harada S, Iida M, Miyagawa N, Hirata A, Kuwabara K, Matsumoto M, Okamura T, Edagawa S, Kawada Y, Miyake A, Toki R, Akiyama M, Kawai A, Sugiyama D, Sato Y, Takemura R, Fukai K, Ishibashi Y, Kato S, Kurihara A, Sata M, Shibuki T, Takeuchi A, Kohsaka S, Sawano M, Shoji S, Izawa Y, Katsumata M, Oki K, Takahashi S, Takizawa T, Maruya H, Nishiwaki Y, Kawasaki R, Hirayama A, Ishikawa T, Saito R, Sato A, Soga T, Sugimoto M, Tomita M, Komaki S, Ohmomo H, Ono K, Otsuka-Yamasaki Y, Shimizu A, Sutoh Y, Hozawa A, Kinoshita K, Koshiba S, Kumada K, Ogishima S, Sakurai-Yageta M, Tamiya G, Takebayashi T. Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS). J Epidemiol 2024; 34:393-401. [PMID: 38191178 PMCID: PMC11230875 DOI: 10.2188/jea.je20230192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/17/2023] [Indexed: 01/10/2024] Open
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.
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Affiliation(s)
- Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
| | - Miho Iida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata, 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
- Faculty of Environment and Information Studies, Keio University, Kanagawa, 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
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, 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
- Duke Clinical Research Institute, Durham, NC, USA
| | - 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
- Department of Neurology, Tokyo Saiseikai Central Hospital, Tokyo, Japan
| | - Shinichi Takahashi
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Department of Neurology and Stroke, Saitama Medical University International Medical Center, Saitama, Japan
| | - Tsubasa Takizawa
- Department of Neurology, Keio University School of Medicine, Tokyo, 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
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Kanako Ono
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Atsushi Shimizu
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University, Iwate, Japan
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, 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
| | | | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
| | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
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Miyake A, Harada S, Sugiyama D, Matsumoto M, Hirata A, Miyagawa N, Toki R, Edagawa S, Kuwabara K, Okamura T, Sato A, Amano K, Hirayama A, Sugimoto M, Soga T, Tomita M, Arakawa K, Takebayashi T, Iida M. Reliability of Time-Series Plasma Metabolome Data over 6 Years in a Large-Scale Cohort Study. Metabolites 2024; 14:77. [PMID: 38276312 PMCID: PMC10819202 DOI: 10.3390/metabo14010077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
Studies examining long-term longitudinal metabolomic data and their reliability in large-scale populations are limited. Therefore, we aimed to evaluate the reliability of repeated measurements of plasma metabolites in a prospective cohort setting and to explore intra-individual concentration changes at three time points over a 6-year period. The study participants included 2999 individuals (1317 men and 1682 women) from the Tsuruoka Metabolomics Cohort Study, who participated in all three surveys-at baseline, 3 years, and 6 years. In each survey, 94 plasma metabolites were quantified for each individual and quality control (QC) sample. The coefficients of variation of QC, intraclass correlation coefficients, and change rates of QC were calculated for each metabolite, and their reliability was classified into three categories: excellent, fair to good, and poor. Seventy-six percent (71/94) of metabolites were classified as fair to good or better. Of the 39 metabolites grouped as excellent, 29 (74%) in men and 26 (67%) in women showed significant intra-individual changes over 6 years. Overall, our study demonstrated a high degree of reliability for repeated metabolome measurements. Many highly reliable metabolites showed significant changes over the 6-year period, suggesting that repeated longitudinal metabolome measurements are useful for epidemiological studies.
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Affiliation(s)
- Atsuko Miyake
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Daisuke Sugiyama
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
- Faculty of Nursing and Medical Care, Keio University, Kanagawa, Fujisawa 252-0883, Japan
- Graduate School of Health Management, Keio University, Kanagawa, Fujisawa 252-0883, Japan
| | - Minako Matsumoto
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Aya Hirata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Naoko Miyagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Ryota Toki
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Shun Edagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Kazuyo Kuwabara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
- Graduate School of Health Management, Keio University, Kanagawa, Fujisawa 252-0883, Japan
| | - Asako Sato
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Kaori Amano
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Kazuharu Arakawa
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka 997-0052, Japan; (A.S.); (K.A.); (A.H.); (M.S.); (T.S.); (M.T.); (K.A.)
| | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
- Graduate School of Health Management, Keio University, Kanagawa, Fujisawa 252-0883, Japan
| | - Miho Iida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan; (A.M.); (S.H.); (D.S.); (M.M.); (A.H.); (N.M.); (R.T.); (S.E.); (K.K.); (T.O.); (T.T.)
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