Evidence map›Paper›PMID 39601998›Full record

ArticleGeroScience2025

Plasma triacylglycerol length and saturation level mark healthy aging groups in humans.

Weisha Li, Bauke V Schomakers, Michel van Weeghel, Lotte Grevendonk, Frédéric M Vaz, Gajja S Salomons, Patrick Schrauwen, Joris Hoeks, Arwen W Gao, Riekelt H Houtkooper and 1 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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

11 authors.

Weisha LiAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Bauke V SchomakersAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Michel van WeeghelAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Lotte GrevendonkDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands.
Frédéric M VazAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Gajja S SalomonsAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Patrick SchrauwenClinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Joris HoeksDepartment of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD, Maastricht, The Netherlands.
Arwen W GaoAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Riekelt H HoutkooperAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands.
Georges E JanssensAmsterdam UMC Location University of Amsterdam, Laboratory Genetic Metabolic Diseases, Amsterdam, The Netherlands. g.e.janssens@amsterdamumc.nl.ORCID 0000-0003-2104-8145

Funding

NWO-Middelgroot 91118006Velux Stiftung 1063
6 · The paper itself

Abstract

Complex lipids, essential components in biological processes, exhibit conserved age-related changes that alter membrane properties and cellular functions and are implicated as biomarkers and contributors to longevity and age-related diseases. While physical activity alleviates age-related comorbidities and physical impairments, comprehensive exploration of the underlying biological mechanisms, particularly at the level of complex lipids, remains limited. However, clinical studies suggest that physical activity may counteract these age-related lipidomic changes, presenting a promising avenue for intervention. We performed lipidomic profiling of plasma from an extensively characterized cohort of young and aged individuals. Annotating 1446 unique lipid species across 24 lipid classes, we found the most prominent difference in older adults was an accumulation of triacylglycerols (TGs), with lower physical activity levels associated with higher TG levels in plasma and reduced physical functionality. Remarkably, lipid species in the TG class did not accumulate uniformly. Rather, our study unveiled a negative correlation between higher physical activity levels and TGs with shorter chain lengths and more double bonds in this demographic. Overall, our research highlights that plasma TG length and saturation level can help mark healthy aging groups in humans. These findings deepen our understanding of how aging affects complex lipids and the influence of physical activity on this process.

Indexed as

AgingExerciseHealthy AgingTriglyceridesAdultAgedAged, 80 and overBiomarkersFemaleHumansLipidomicsMaleMiddle AgedYoung AdultBiomarkersTriglyceridesAgingHealthy agingHuman plasmaLipidomicsPhysical activityTriacylglycerols

Identifiers

PMID39601998
PMCPMC11979014

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.