Evidence map›Paper›PMID 40559429›Full record

ArticleMetabolites2025

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

Yue Yi, Junjie Ding, Baoguo Wang, Yuxian Li, Liming Wang, Shumin Bo, Qiongqiong Ren, Aiqin Luo

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yue YiSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Junjie DingSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Baoguo WangSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.
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 BoCollege of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China.
Qiongqiong RenCollege of Medical Engineering, Xinxiang Medical University, Xinxiang 453000, China.ORCID 0000-0002-8023-9753
Aiqin LuoSchool of Life Science, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-6905-0394

Funding

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

Abstract

backgroundExercise-induced muscle damage (EIMD) is the most common health risk in training. So far, EIMD diagnosis predominantly relies on blood biochemical analysis or medical imaging. EIMD prediction by using saliva shows great prospects in public fitness.

methodsA total of 18 participants performed high-intensity rowing training. Blood biochemical indicator and pain analyses indicated EIMD occurrence. Pseudo-targeted metabolomics techniques were utilized to analyze changes in salivary metabolites after exercise.

resultsA total of 43 salivary metabolites significantly increased while 31 salivary metabolites significantly decreased after exercise. The upregulated metabolites were related to hormone secretion, antioxidation, and muscle repair. A partial least squares discriminant analysis model was established, and three potential salivary biomarkers for EIMD prediction were screened. The sensitivity and specificity of single biomarkers achieved more than 88.9% and 94.4% in classification of EIMD occurrence, respectively. The accuracy of classification increased to ~100% with multiple metabolites.

conclusionSalivary metabolites significantly changed after high-intensity rowing training and EIMD occurrence. Some salivary metabolites exhibited similar trends with blood biochemical indicators. Salivary biomarkers have great prospects in EIMD prediction, and better performance was achieved with multiple salivary metabolites.

Indexed as

blood biochemical analysisexercisemetabolomicsmuscle damagesalivary biomarker

Identifiers

PMID40559429
PMCPMC12195423

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