Evidence map›Paper›PMID 40718790›Full record

ArticleFrontiers in molecular biosciences2025

Plasma longitudinal metabolic changes with acute maximal aerobic exercise and one-hour recovery.

William A Fountain, Stefano Donega, Nirad Banskota, Ruin Moaddel, Mona Patel, Linda Zukley, Sarah Church, Katie Bustin, Josephine M Egan, Jeremy Walston and 1 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. 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

11 authors.

William A Fountain *Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Stefano Donega *Longitudinal Study Section (LSS), Intramural Research Program (IRP), National Institute on Aging (NIH), Baltimore, MD, United States.
Nirad BanskotaComputational Biology and Genomics Core (CBGC), Intramural Research Program (IRP), National Institute on Aging (NIH), Baltimore, MD, United States.
Ruin MoaddelLaboratory of Clinical Investigation (LCI), Intramural Research Program (IRP), National Institute on Aging (NIH), Baltimore, MD, United States.
Mona PatelClinical Research Core (CRC), Harbor Hospital, National Institute on Aging (NIH), Baltimore, MD, United States.
Linda ZukleyClinical Research Core (CRC), Harbor Hospital, National Institute on Aging (NIH), Baltimore, MD, United States.
Sarah ChurchClinical Research Core (CRC), Harbor Hospital, National Institute on Aging (NIH), Baltimore, MD, United States.
Katie BustinClinical Research Core (CRC), Harbor Hospital, National Institute on Aging (NIH), Baltimore, MD, United States.
Josephine M EganLaboratory of Clinical Investigation (LCI), Intramural Research Program (IRP), National Institute on Aging (NIH), Baltimore, MD, United States.
Jeremy Walston *Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Luigi Ferrucci *Longitudinal Study Section (LSS), Intramural Research Program (IRP), National Institute on Aging (NIH), Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Total body metabolism continuously adapts to match energy supply with demand. During exercise metabolic alterations occur because skeletal muscles require a continuous supply of newly generated ATP to match the demand of the intensity of the exercise, and products of muscle metabolism must be eliminated. The metabolic and energetic flexibility greatly impact maximum physical fitness and exercise duration, as well as the speed of elimination of metabolism end-products. However, so far, the temporal profiling of metabolomic changes in response to exercise of persons with different fitness levels remains relatively unexplored. This study examined metabolic changes during each person's peak aerobic exercise and one-hour post-exercise recovery in 29 Baltimore Longitudinal Study of Aging (BLSA) participants. Methods: Blood samples were collected at baseline, and at 3-min intervals during both incremental exercise on a treadmill until exhaustion and during recovery. Participants were classified based on the stage when they reached exhaustion as low fitness (LF, completing up to 3 treadmill incremental stages) or high fitness (HF, completing up to 7 incremental stages). The time course of exercise-associated changes in the circulating metabolome were mapped and unique metabolomic trajectories were identified with likelihood-ratio testing and hierarchical clustering. Results: The HF group had rapid clearance of bile and amino acids at exercise onset, along with effective clearance of triacylglycerols and glycerophospholipids during recovery. In contrast, the LF group had much reduced clearance of these metabolites and had persistent elevation of triacylglycerols and glycerophospholipids. Discussion: These findings highlight differences in bile acid clearance and purine metabolism in people of differing fitness levels and provide novel insights into the role of metabolic adaptive responses to aerobic exercise assessed through circulating metabolomic measures.

Indexed as

energyexercisefatigabilityfitnesslongitudinalmetabolomicsphysiologyrecovery

Identifiers

PMID40718790
PMCPMC12289478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.