Evidence map›Paper›PMID 38191178›Full record

ArticleJournal of epidemiology2024

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 and 45 more

Abstract read
In one paragraph

Article in Journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

55 authors.

Sei HaradaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0003-2666-4932
Miho IidaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0001-5527-7574
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0002-9148-1078
Aya HirataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0003-1439-4242
Kazuyo KuwabaraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Minako MatsumotoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0002-7705-9903
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0003-0488-0351
Shun EdagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Yoko KawadaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Atsuko MiyakeDepartment of Obstetrics and Gynecology, Keio University School of Medicine.
Ryota TokiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Miki AkiyamaInstitute for Advanced Biosciences, Keio University.
Atsuki KawaiInstitute for Advanced Biosciences, Keio University.
Daisuke SugiyamaFaculty of Nursing and Medical Care and Graduate School of Health Management, Keio University.
Yasunori SatoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Ryo TakemuraBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital.
Kota FukaiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Yoshiki IshibashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Suzuka KatoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Ayako KuriharaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Mizuki SataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0003-1863-2260
Takuma ShibukiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Ayano TakeuchiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Shun KohsakaDepartment of Cardiology, Keio University School of Medicine.
Mitsuaki SawanoDepartment of Cardiology, Keio University School of Medicine.
Satoshi ShojiDepartment of Cardiology, Keio University School of Medicine.
Yoshikane IzawaDepartment of Neurology, Keio University School of Medicine.
Masahiro KatsumataDepartment of Neurology, Keio University School of Medicine.
Koichi OkiDepartment of Neurology, Keio University School of Medicine.
Shinichi TakahashiDepartment of Neurology, Keio University School of Medicine.
Tsubasa TakizawaDepartment of Neurology, Keio University School of Medicine.
Hiroshi MaruyaShonai Hospital.
Yuji NishiwakiDepartment of Environmental and Occupational Health, School of Medicine, Toho University.
Ryo KawasakiDivision of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University.
Takamasa IshikawaInstitute for Advanced Biosciences, Keio University.
Rintaro SaitoInstitute for Advanced Biosciences, Keio University.
Asako SatoInstitute for Advanced Biosciences, Keio University.
Tomoyoshi SogaInstitute for Advanced Biosciences, Keio University.
Masahiro SugimotoInstitute for Advanced Biosciences, Keio University.
Masaru TomitaInstitute for Advanced Biosciences, Keio University.
Shohei KomakiDivision of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University.
Hideki OhmomoDivision of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University.
Kanako OnoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Yayoi Otsuka-YamasakiDivision of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University.
Atsushi ShimizuDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Yoichi SutohDivision of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University.
Atsushi HozawaTohoku Medical Megabank Organization, Tohoku University.ORCID 0000-0002-8031-8523
Kengo KinoshitaTohoku Medical Megabank Organization, Tohoku University.
Seizo KoshibaTohoku Medical Megabank Organization, Tohoku University.
Kazuki KumadaTohoku Medical Megabank Organization, Tohoku University.
Soichi OgishimaTohoku Medical Megabank Organization, Tohoku University.
Mika Sakurai-YagetaTohoku Medical Megabank Organization, Tohoku University.
Gen TamiyaTohoku Medical Megabank Organization, Tohoku University.
Toru TakebayashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

MetabolomicsAdultAgedBiomarkersCohort StudiesFemaleHumansJapanMaleMiddle AgedBiomarkersagingcohort studymetabolomicsmulti-omics

Identifiers

PMID38191178
PMCPMC11230875

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.