Evidence map›Paper›PMID 40405171›Full record

ArticleNutrition & metabolism2025

Exercise-induced metabolomics and its association with metabolic health in adolescents.

Xiaoyuan Guo, Zhibo Zhou, Yutong Wang, Huishan Sun, Shanshan Liu, Yiling He, Hanze Du, Hongbo Yang, Huijuan Zhu, Mei Zhang and 3 more

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Xiaoyuan GuoKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Zhibo ZhouKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Yutong WangKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Huishan SunCenter for Biomarker Discovery and Validation, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
Shanshan LiuKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Yiling HeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Hanze DuKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Hongbo YangKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Huijuan ZhuKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China.
Mei ZhangDepartment of Endocrinology, Genetics and Metabolism, Affiliated Hospital of Jining Medical University, Jining Medical University, 89 Guhuai Road, Jining, Shandong, 272029, China.
Bo BanDepartment of Endocrinology, Genetics and Metabolism, Affiliated Hospital of Jining Medical University, Jining Medical University, 89 Guhuai Road, Jining, Shandong, 272029, China.
Shi ChenKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China. cs0083@126.com.
Hui PanKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100730, Beijing, China. panhui20111111@163.com.

Funding

National Key R&D Program of China 2022YFC3600202 & 2022YFC3600203
6 · The paper itself

Abstract

backgroundWhile exercise training has been shown to improve various aspects of adolescent metabolic health, such as blood pressure, insulin resistance, and dyslipidemia, the underlying metabolic mechanisms remain poorly understood. No study has examined the metabolomic changes to identify potential mechanisms and explore biomarkers that predict exercise benefits in adolescents.

methodsWe used propensity score matching to select 54 pairs of adolescents (ages 12-14 years) with and without long-term exercise training. Body mass index (BMI), waist circumference (WC) and metabolic indicators including blood pressure, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and triglycerides (TGs) were assessed at enrollment and 1-year follow-up. Untargeted metabolomics was analyzed at enrollment. The associations between metabolites and clinical metabolic indicators were tested.

resultsMetabolomic analysis revealed 73 differential metabolites between exercise and non-exercise groups, with 59 metabolites associated with metabolic health indicators. Among them, a group of eicosanoids were consistently upregulated and negatively associated with diastolic blood pressure (DBP), HOMA-IR, or TGs, suggesting their potential roles in exercise-related improvements. Receiver operating characteristic analysis showed better predictive performance for exercise benefits on DBP and TGs using papaverine and azelaic acid compared to BMI and WC.

conclusionsAdolescents with long-term exercise are associated with improved metabolic health. Metabolomic profiles provide novel insights into the underlying mechanisms and offer useful biomarkers for predicting exercise benefits.

Indexed as

Adolescent metabolic healthAdolescentsLong-term exerciseMetabolomic profilingPredictive biomarkers

Identifiers

PMID40405171
PMCPMC12096752

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.