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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Pan XF, Yang JJ, Shu XO, Moore SC, Palmer ND, Guasch-Ferré M, Herrington DM, Harada S, Eliassen H, Wang TJ, Gerszten RE, Albanes D, Tzoulaki I, Karaman I, Elliott P, Zhu H, Wagenknecht LE, Zheng W, Cai H, Cai Q, Matthews CE, Menni C, Meyer KA, Lipworth LP, Ose J, Fornage M, Ulrich CM, Yu D. Associations of circulating choline and its related metabolites with cardiometabolic biomarkers: an international pooled analysis. Am J Clin Nutr 2021; 114:893-906. [PMID: 34020444 PMCID: PMC8408854 DOI: 10.1093/ajcn/nqab152] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/09/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Choline is an essential nutrient; however, the associations of choline and its related metabolites with cardiometabolic risk remain unclear. OBJECTIVE We examined the associations of circulating choline, betaine, carnitine, and dimethylglycine (DMG) with cardiometabolic biomarkers and their potential dietary and nondietary determinants. METHODS The cross-sectional analyses included 32,853 participants from 17 studies, who were free of cancer, cardiovascular diseases, chronic kidney diseases, and inflammatory bowel disease. In each study, metabolites and biomarkers were log-transformed and standardized by means and SDs, and linear regression coefficients (β) and 95% CIs were estimated with adjustments for potential confounders. Study-specific results were combined by random-effects meta-analyses. A false discovery rate <0.05 was considered significant. RESULTS We observed moderate positive associations of circulating choline, carnitine, and DMG with creatinine [β (95% CI): 0.136 (0.084, 0.188), 0.106 (0.045, 0.168), and 0.128 (0.087, 0.169), respectively, for each SD increase in biomarkers on the log scale], carnitine with triglycerides (β = 0.076; 95% CI: 0.042, 0.109), homocysteine (β = 0.064; 95% CI: 0.033, 0.095), and LDL cholesterol (β = 0.055; 95% CI: 0.013, 0.096), DMG with homocysteine (β = 0.068; 95% CI: 0.023, 0.114), insulin (β = 0.068; 95% CI: 0.043, 0.093), and IL-6 (β = 0.060; 95% CI: 0.027, 0.094), but moderate inverse associations of betaine with triglycerides (β = -0.146; 95% CI: -0.188, -0.104), insulin (β = -0.106; 95% CI: -0.130, -0.082), homocysteine (β = -0.097; 95% CI: -0.149, -0.045), and total cholesterol (β = -0.074; 95% CI: -0.102, -0.047). In the whole pooled population, no dietary factor was associated with circulating choline; red meat intake was associated with circulating carnitine [β = 0.092 (0.042, 0.142) for a 1 serving/d increase], whereas plant protein was associated with circulating betaine [β = 0.249 (0.110, 0.388) for a 5% energy increase]. Demographics, lifestyle, and metabolic disease history showed differential associations with these metabolites. CONCLUSIONS Circulating choline, carnitine, and DMG were associated with unfavorable cardiometabolic risk profiles, whereas circulating betaine was associated with a favorable cardiometabolic risk profile. Future prospective studies are needed to examine the associations of these metabolites with incident cardiovascular events.
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Affiliation(s)
- Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - David M Herrington
- Section on Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Heather Eliassen
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Robert E Gerszten
- Broad Institute of Harvard and Massachusetts Institute of Technology and Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Huilian Zhu
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Katie A Meyer
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Loren P Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Ose
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
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