Evidence map›Paper›PMID 40869220›Full record

ArticleInternational journal of molecular sciences2025

Urinary Metabolites Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage.

Jie Wu, Junjie Ding, Ziyue Zhao, Baoguo Wang, Yang Cheng, Yuxian Li, Liming Wang, Shumin Bo, Aiqin Luo, Changyong Zhang and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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.

Jie WuDepartment of Physical Education, Beijing Institute of Technology, Zhuhai 519000, China.
Junjie DingSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Ziyue ZhaoSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Baoguo WangSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Yang ChengSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China.ORCID 0009-0000-6309-9456
Yuxian LiSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Liming WangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Shumin BoSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China.
Aiqin LuoSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Changyong ZhangDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
Yue YiSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.

Funding

Beijing Institute of Technology Research Fund Program for Young Scholars 3160012222114Fundamental Research Funds for the Central Universities 2024CX06051
6 · The paper itself

Abstract

Exercise-induced muscle damage (EIMD) is the most common health risk in physical exercise. However, instant and non-invasive methods for EIMD prediction have not been reported. Urine is a promising tool for EIMD prediction. However, urinary metabolite variations after EIMD occurrence have not been revealed, and potential biomarkers have not been identified. In this study, eighteen young students without regular exercise habits were recruited to perform high-intensity rowing exercise. EIMD occurrence was determined using blood biochemical analyses and pain assessment. The changes in urinary metabolites were revealed by quasi-targeted metabolomics. Results demonstrated that high-intensity rowing exercise induced EIMD and obviously changed urinary metabolites, including 23 upregulated metabolites and 26 downregulated metabolites. These differential metabolites were related to energy metabolism, exercise performance, and antioxidant metabolism. Among these metabolites, potential urinary biomarkers were identified with high sensitivity and specificity.

Indexed as

BiomarkersExerciseMetabolomeMuscle, SkeletalAdultEnergy MetabolismFemaleHumansMaleMetabolomicsYoung AdultBiomarkersbiomarker screeningexercise-induced muscle damagemetabolomicsrowing exerciseurinary metabolites

Identifiers

PMID40869220
PMCPMC12386498

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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.