Evidence map›Paper›PMID 41389027›Full record

ArticleThe Journal of clinical endocrinology and metabolism2026

Longitudinal Study of Plasma Metabolites During Menopause and Their Associations With Later Onset of Metabolic Syndrome.

Atsuko Miyake, Miho Iida, Sei Harada, Daisuke Sugiyama, Minako Matsumoto, Naoko Miyagawa, Ryota Toki, Shun Edagawa, Aya Hirata, Kazuyo Kuwabara and 11 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

21 authors.

Atsuko MiyakeDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.ORCID 0000-0003-1391-4576
Miho IidaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.ORCID 0000-0001-5527-7574
Sei HaradaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Daisuke SugiyamaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Minako MatsumotoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Ryota TokiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Shun EdagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Aya HirataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Kazuyo KuwabaraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Asako SatoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Kaori AmanoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Masahiro SugimotoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Tomoyoshi SogaHuman Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University, Tsuruoka, Yamagata 997-0052, Japan.ORCID 0000-0001-9502-2509
Masaru TomitaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Kazuharu ArakawaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.ORCID 0000-0002-2893-4919
Iori KisuDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Wataru YamagamiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.
Toru TakebayashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.

Funding

Japan Agency for Medical Research and Development JP18059131Japan Society for the Promotion of Science JP15H04778Japan Society for the Promotion of Science JP15K19231Japan Society for the Promotion of Science JP16H05249Japan Society for the Promotion of Science JP16H06277Japan Society for the Promotion of Science JP16K19259Japan Society for the Promotion of Science JP17K09150Japan Society for the Promotion of Science JP17K19838Japan Society for the Promotion of Science JP18H04079Japan Society for the Promotion of Science JP18K17394Japan Society for the Promotion of Science JP18KT0074Japan Society for the Promotion of Science JP19K10652Japan Society for the Promotion of Science JP19K10669Japan Society for the Promotion of Science JP19K19416Japan Society for the Promotion of Science JP19K19441Japan Society for the Promotion of Science JP19K21458Japan Society for the Promotion of Science JP21H04854Japan Society for the Promotion of Science JP21K17275Japan Society for the Promotion of Science JP22H03351Japan Society for the Promotion of Science JP22H03353Japan Society for the Promotion of Science JP22H03356Japan Society for the Promotion of Science JP22K10592Japan Society for the Promotion of Science JP24390168Japan Society for the Promotion of Science JP25670303Japan Society for the Promotion of Science JP26670319Japan Society for the Promotion of Science JP26670340Japan Society for the Promotion of Science JP26860421Japan Society for the Promotion of Science JP26893258Ministry of Health, Labor and Welfare
6 · The paper itself

Abstract

contextPrevious metabolomics studies suggest potential associations between menopausal changes in lipids and an increased risk of metabolic syndrome (MetS). However, longitudinal data on other key metabolites, such as branched-chain amino acids (BCAAs) and homocysteine, remain limited, and most studies lack long-term follow-up across the menopause transition.

objectiveThis study aimed to investigate longitudinal changes in circulating metabolites during menopause over a mean follow-up of 5 years and assess their associations with subsequent MetS development.

methodsPremenopausal women from the Tsuruoka Metabolomics Cohort Study who participated in at least one follow-up survey were included. Menopausal status, data on MetS, and plasma metabolites profiled using capillary electrophoresis mass spectrometry were assessed at each visit. Thirty-one metabolites were examined for associations with menopausal status using mixed-effects models. The association of these menopause-related metabolites with MetS development was examined via logistic regression analysis adjusted for follow-up duration.

resultsAmong 953 women (aged 43.8 ± 5.4 years), 316 (33.2%) reached menopause during follow-up (5.0 ± 1.1 years). Eighteen metabolites changed significantly with menopause, particularly those related to BCAA metabolism, urea cycle, and homocysteine metabolism. Of 695 women without MetS at baseline, 65 (9.4%) developed MetS. Glutamate (odds ratio [95% CI]: 1.95 [1.49-2.57]) was associated with higher MetS risk. Higher levels of glutamate, valine, leucine, and cystine were significantly associated with the development of hyperglycemia.

conclusionLongitudinal changes in charged metabolites occur across the menopausal transition, with specific metabolites such as glutamate possibly contributing to the metabolic alterations underlying increased MetS risk.

Indexed as

BiomarkersMenopauseMetabolic SyndromeAdultAmino Acids, Branched-ChainFemaleFollow-Up StudiesHomocysteineHumansLongitudinal StudiesMetabolomeMetabolomicsMiddle AgedRisk FactorsAmino Acids, Branched-ChainBiomarkersHomocysteineglutamatelongitudinal studymenopausemetabolic syndromemetabolomics

Identifiers

PMID41389027
PMCPMC13183440

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LicenceCC BY-NC-ND
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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.