Evidence map›Paper›PMID 38609524›Full record

ArticleNature aging2024

A conserved complex lipid signature marks human muscle aging and responds to short-term exercise.

Georges E Janssens, Marte Molenaars, Katharina Herzog, Lotte Grevendonk, Carlijn M E Remie, Martin A T Vervaart, Hyung L Elfrink, Eric J M Wever, Bauke V Schomakers, Simone W Denis and 14 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 32 citations in OpenAlex.

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  17. Gut metabolism links precision nutrition, exercise, and healthspan inbioRxiv : the preprint server for biology · 2025
    Article
  18. Review
  19. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
    Review
  20. 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

24 authors at 5 institutions in 2 countries.

Georges E JanssensLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands. g.e.janssens@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-2104-8145
Marte MolenaarsLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Katharina HerzogLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Lotte GrevendonkDepartment of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0001-9540-1832
Carlijn M E RemieDepartment of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands.
Martin A T VervaartLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Hyung L ElfrinkLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-7693-6118
Eric J M WeverLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Bauke V SchomakersLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Simone W DenisLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Hans R WaterhamLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Mia L Pras-RavesLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Michel van WeeghelLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-4916-2866
Antoine H C van KampenEpidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Alessandra TammaroPathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-3128-5259
Loes M ButterPathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Sanne van der RijtLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-6486-4674
Sandrine FlorquinPathology Department, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.
Aldo JongejanEpidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-8948-2549
Perry D MoerlandEpidemiology and Data Science, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-2357-3659
Joris HoeksDepartment of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0002-0265-0870
Patrick SchrauwenDepartment of Nutrition and Human Movement Sciences, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0002-0973-847X
Frédéric M VazLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands. f.m.vaz@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-9048-1041
Riekelt H HoutkooperLaboratory Genetic Metabolic Diseases, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands. r.h.houtkooper@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-9961-0842
Amsterdam University Medical Centers · NLAmsterdam Neuroscience · NLMaastricht University Medical Centre · NLPublic Health Service of Amsterdam · NLGGD Amsterdam · NL

Funding

Velux Fonden (Velux Foundation) 1063ZonMw (Netherlands Organisation for Health Research and Development) 91715305
6 · The paper itself

Abstract

Studies in preclinical models suggest that complex lipids, such as phospholipids, play a role in the regulation of longevity. However, identification of universally conserved complex lipid changes that occur during aging, and how these respond to interventions, is lacking. Here, to comprehensively map how complex lipids change during aging, we profiled ten tissues in young versus aged mice using a lipidomics platform. Strikingly, from >1,200 unique lipids, we found a tissue-wide accumulation of bis(monoacylglycero)phosphate (BMP) during mouse aging. To investigate translational value, we assessed muscle tissue of young and older people, and found a similar marked BMP accumulation in the human aging lipidome. Furthermore, we found that a healthy-aging intervention consisting of moderate-to-vigorous exercise was able to lower BMP levels in postmenopausal female research participants. Our work implicates complex lipid biology as central to aging, identifying a conserved aging lipid signature of BMP accumulation that is modifiable upon a short-term healthy-aging intervention.

Indexed as

AgingExerciseMuscle, SkeletalAdultAgedAnimalsFemaleHumansLipid MetabolismLipidomicsLysophospholipidsMaleMiceMiddle AgedMonoglyceridesPhysical Conditioning, Animalbis(monoacylglyceryl)phosphateLysophospholipidsMonoglycerides

Identifiers

PMID38609524
OpenAlexW4394752906

What OpenQuestion holds

Textmetadata
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.