Evidence map›Paper›PMID 41787548›Full record

Trial reportJournal of translational medicine2026

Metabolomic profiling of intensity-dependent responses to acute exercise in healthy humans.

Jianxiu Liu, Junxin Zhang, Xingtian Li, BaiLe Wu, Alimjan Ablitip, Dizhi Wang, Limei Ke, Qian Di, Ruidong Liu, Xindong Ma

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04830059 (The Joint Effect of Air Pollution and Exercise on Cognitive Function), which is not on this 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.

NCT04830059 nacompletednot on this map

The Joint Effect of Air Pollution and Exercise on Cognitive Function

TypeinterventionalSponsorTsinghua UniversityRan2020 to 2021Enrolled93ConditionsExercise, Air Pollution, Cognition, Health PromotionArmsExercise, Air purification
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  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

10 authors.

Jianxiu Liu *Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Junxin Zhang *Sports Coaching College, Beijing Sport University, Beijing, 100084, China.
Xingtian Li *Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
BaiLe WuDepartment of Exercise Physiology, School of Sports Science, Beijing Sport University, Beijing, 100084, China.
Alimjan AblitipDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Dizhi WangDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Limei KeSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Qian DiVanke School of Public Health, Tsinghua University, Beijing, China. qiandi@tsinghua.edu.cn.
Ruidong LiuSports Coaching College, Beijing Sport University, Beijing, 100084, China. lrd5156@bsu.edu.cn.
Xindong MaDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China. maxd@mail.tsinghua.edu.cn.

Funding

Beijing Educational Sciences planning project No.CCHA241National Natural Science Foundation of China No. 42277419Research Plan for Higher Education Science by the Chinese Higher Education Association 23TY0205
6 · The paper itself

Abstract

introductionExercise confers numerous health benefits, yet the intensity-specific impact of acute exercise on systemic metabolism remains incompletely characterized. This study aimed to characterize serum metabolomic responses to different treadmill-based exercise intensities using liquid chromatography–mass spectrometry (LC–MS) and to assess associations between metabolite signatures and exercise capacity indicators.

methodsWe conducted a randomized controlled trial (ClinicalTrials.gov Identifier: NCT04830059). Fifty-eight healthy, inactive university students were randomized to high-intensity interval training (HIIT, n = 20), moderate-intensity continuous training (MICT, n = 19), or light-intensity training (LIT, n = 19). Serum samples were collected at rest and immediately post-exercise. An untargeted LC–MS metabolomics approach was used to quantify alterations in 480 serum metabolites across the three protocols.

resultsAcute HIIT, MICT, and LIT significantly altered 204, 198, and 60 serum metabolites, respectively, with a shared core of 37 metabolites. Metabolic perturbations were clearly intensity-dependent: HIIT elicited the most profound shifts, characterized by rapid accumulation of glycolytic, TCA-cycle, and antioxidant-associated metabolites. MICT induced broad activation of glycolysis, the TCA cycle, and fatty acid oxidation, whereas LIT caused milder changes primarily in glycolysis and bile acid signaling. Across all intensities, strong positive correlations between lactate and TCA-cycle intermediates underscored the tight coupling between glycolytic flux and mitochondrial respiration. Baseline VO2max and HRmax showed distinct metabolite association profiles, with VO2max positively related to amino acid–derived and redox-related metabolites, whereas HRmax was linked to organic acid, bile acid, and dipeptide species.

conclusionsThis parallel-group metabolomics trial demonstrates that a single bout of treadmill exercise elicits intensity-dependent, yet partly overlapping, metabolic programs spanning central carbon, amino acid, lipid, and bile acid pathways. By integrating lactate-centered correlations with VO2max- and HRmax-related metabolite signatures, our findings outline a molecular framework linking acute exercise intensities metabolism to cardiorespiratory fitness and provide a basis for refining intensity-specific exercise prescriptions. The study was registered on ClinicalTrials.gov (Identifier: NCT04830059).

Indexed as

ExerciseMetabolomicsAdultFemaleHealthy VolunteersHumansMaleMetabolomeYoung AdultExercise intensityLactateMetabolomicsVO2max

Identifiers

PMID41787548
PMCPMC13072661

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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 Socratic graph.