Evidence map›Paper›PMID 41619134›Full record

ArticleGeroScience2026

Serum metabolomic signatures associated with frailty-related phenotypes in a cohort of older people.

Céline Bougel, Rémi Servien, Nathalie Vialaneix, Elise Maigne, Yves Boirie, Clément Lahaye, Cécile Canlet, Laurent Debrauwer, Valentin Max Vetter, Kristina Norman and 3 more

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Céline BougelINRAE, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, University Clermont-Auvergne, Clermont-Ferrand, France.
Rémi ServienUniversité de Montpellier, INRAE, LBE, 102 Avenue Des Étangs, Narbonne, F-11100, France.
Nathalie VialaneixUniversité de Toulouse, INRAE, UR875 MIAT, 31326, Castanet-Tolosan, France.
Elise MaigneUniversité de Toulouse, INRAE, UR875 MIAT, 31326, Castanet-Tolosan, France.
Yves BoirieINRAE, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, University Clermont-Auvergne, Clermont-Ferrand, France.
Clément LahayeINRAE, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, University Clermont-Auvergne, Clermont-Ferrand, France.
Cécile CanletUniversity of Toulouse, INRAE, ENVT, Toulouse, 31027, Toxalim, France.
Laurent DebrauwerUniversity of Toulouse, INRAE, ENVT, Toulouse, 31027, Toxalim, France.
Valentin Max VetterDepartment of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité - Universitätsmedizin Berlin, Berlin, Augustenburger Platz 1, 13353, Germany.
Kristina NormanDepartment of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Dominique DardevetINRAE, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, University Clermont-Auvergne, Clermont-Ferrand, France.
Ilja DemuthBerlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany.
Sergio PolakofINRAE, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, University Clermont-Auvergne, Clermont-Ferrand, France. sergio.polakof@inrae.fr.ORCID http://orcid.org/0000-0002-0976-8732

Funding

Bundesministerium für Bildung und Forschung 01GL1716ABundesministerium für Bildung und Forschung 01GL1716BBundesministerium für Bildung und Forschung 01UW0808Bundesministerium für Bildung und Forschung 16SV5537Bundesministerium für Bildung und Forschung 16SV5538Bundesministerium für Bildung und Forschung 16SV5837
6 · The paper itself

Abstract

Frailty is a geriatric syndrome characterized by reduced physiological reserves and increased vulnerability to stressors. Given its complex phenotypes and underlying biology, robust multidimensional biomarkers are needed to advance personalized care. We aimed to identify serum metabolomics signatures associated with frailty phenotypes and related features. We analyzed serum metabolomics data in 901 participants (47.5% males, mean age 68.3 ± 3.5 years) from the Berlin Aging Study II, classified as non-frail, pre-frail, or frail using Fried's criteria at baseline (T0) and after 7 years (T1). Linear models assessed associations between metabolite levels, frailty, and related parameters. At T0, 1% were frail, increasing to 4.8% at T1. Over follow-up, 323 participants transitioned to a worse frailty category. Across 82 metabolites, no significant differences emerged for frailty status. However, in males, 27 and 30 circulating metabolites were negatively associated with handgrip strength at T0 and T1, respectively. Also in males, L-tyrosine was positively associated with fat mass, while 22 metabolites (carbohydrate-related, maltose, fructose, glucose, galactitol, mannose, lactate, acetylcarnitine; amino acid-related, valine, tyrosine, isoleucine, α-hydroxybutyrate) correlated with nutritional status at T0. In females, dimethylsulfone was positively associated with changes in handgrip strength over time, and glycerol with appendicular lean mass at T0. While serum metabolomics showed weak associations with frailty itself, clear links were observed with frailty-related features, notably muscle strength and nutritional status. These findings highlight insulin sensitivity as a central determinant, suggesting that early metabolic alterations may contribute to impaired muscle health in aging.

Indexed as

Frail ElderlyFrailtyMetabolomicsAgedBiomarkersCohort StudiesFemaleGeriatric AssessmentHand StrengthHumansMalePhenotypeBiomarkersAmino acid metabolismBiomarkersInsulin sensitivityMetaboliteMetabolomicsPrevention

Identifiers

PMID41619134
PMCPMC13638843

What OpenQuestion holds

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Registered trials

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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.