Evidence map›Paper›PMID 41796097›Full record

ArticleDiabetes, obesity & metabolism2026

Circulating Rhythmic Metabolites and Causal Risk of Type 2 Diabetes in Adults in the Canadian Longitudinal Study on Aging.

Divya Joshi, Talha Rafiq, Marie Pigeyre, Renee de Mutsert, Femke Rutters, David J T Campbell, Jean-Pierre Despres, Andre C Carpentier, Joris Hoeks, Patrick Schrauwen and 1 more

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Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Divya JoshiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-3190-8866
Talha RafiqDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Marie PigeyreDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Renee de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Femke RuttersDepartment of Epidemiology and Data Science, Amsterdam University Medical Centre, Location Vrije Universiteit Amsterdam, Amsterdam, North Holland, the Netherlands.
David J T CampbellCumming School of Medicine, Department of Medicine, Department of Community Health Sciences, Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-5570-3630
Jean-Pierre DespresDepartment of Kinesiology, Laval University, Laval, Quebec, Canada.
Andre C CarpentierCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Joris HoeksDepartment of Nutrition and Movement Sciences, NUTRIM Institute of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Limburg, the Netherlands.
Patrick SchrauwenDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Parminder RainaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Funding

CIHR TNC-174963Diabetes Fonds 2019.11.101Health-Holland LSHM20107ZonMw 459001021
6 · The paper itself

Abstract

aimsCircadian regulation of metabolism is an important factor in metabolic health, yet the role of rhythmic metabolites in Type 2 diabetes development remains poorly understood. This study investigated associations between circulating rhythmic metabolites and incident Type 2 diabetes risk and evaluated causal relationships using two-sample Mendelian randomisation. MATERIALS AND

methodsWe analysed longitudinal data from 9992 community-dwelling adults aged 45-85 years (49.1% male) in the Canadian Longitudinal Study on Aging with baseline (2012-2015) serum metabolomics data. Untargeted metabolomics profiling was conducted using ultrahigh-performance liquid chromatography-tandem mass spectrometry. Incident Type 2 diabetes at 3-year follow-up was assessed based on diabetes medication use and HbA1c level. Associations between rhythmic metabolites and diabetes risk were evaluated using multivariable binomial regression. Pathway and network analyses were conducted to explore underlying biological mechanisms. Causality was assessed using two-sample Mendelian randomisation for rhythmic metabolites significantly associated with diabetes risk.

resultsAltogether, 20 rhythmic metabolites were associated with Type 2 diabetes risk, including a subset overlapping with genetic predisposition to chronotype, suggesting potential circadian regulation. Key pathways included leucine, isoleucine and valine biosynthesis and degradation, and glycine, serine and threonine metabolism. Mendelian randomisation analyses revealed causal associations between higher levels of mannose, valine, isoleucine, threonine and sphingomyelin (d18:0/18:0, d19:0/17:0) and higher Type 2 diabetes risk, whereas creatine, glycine, 1-linoleoyl-GPC (18:2), 1-palmitoyl-2-oleoyl-GPE, 1-palmitoyl-2-linoleoyl-GPE (16:0/18:2) and 1-stearoyl-2-oleoyl-GPE (18:0/18:1) were protective.

conclusionsDisruptions in rhythmic metabolites are implicated in Type 2 diabetes pathophysiology through specific metabolic pathways, highlighting the potential for biomarkers to support circadian-based prevention strategies.

Indexed as

AgingCircadian RhythmDiabetes Mellitus, Type 2AgedAged, 80 and overBiomarkersCanadaCanadian Longitudinal Study on AgingChronotypeFemaleHumansLongitudinal StudiesMaleMendelian Randomization AnalysisMetabolomicsMiddle AgedBiomarkerscircadian rhythmCLSAMendelian randomizationmetabolomicsrhythmicType 2 diabetes

Identifiers

PMID41796097
PMCPMC13071190

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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.