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Updated: Sep 18, 2025

Induction and Assessment of Exertional Skeletal Muscle Damage in Humans
Published on: December 11, 2016
Salivary Metabolite Variation After High-Intensity Rowing Training and Potential Biomarker Screening for
Yue Yi1,2, Junjie Ding1,2, Baoguo Wang1,2
1School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Saliva analysis can predict exercise-induced muscle damage (EIMD) by detecting significant changes in salivary metabolites after intense workouts. This non-invasive method shows promise for monitoring muscle health in athletes and fitness enthusiasts.
Area of Science:
- Sports Medicine
- Biochemistry
- Exercise Physiology
Background:
- Exercise-induced muscle damage (EIMD) is a common training risk.
- Current EIMD diagnosis relies on blood tests or imaging.
- Saliva analysis offers a promising, non-invasive alternative for EIMD prediction.
Purpose of the Study:
- To investigate changes in salivary metabolites following high-intensity exercise.
- To identify potential salivary biomarkers for predicting EIMD.
- To evaluate the efficacy of saliva analysis for EIMD detection.
Main Methods:
- 18 participants underwent high-intensity rowing training.
- EIMD occurrence was confirmed via blood analysis and pain assessment.
- Pseudo-targeted metabolomics analyzed salivary metabolite alterations post-exercise.
Main Results:
- Significant increases (43) and decreases (31) in salivary metabolites were observed.
- Upregulated metabolites correlated with hormone secretion, antioxidation, and muscle repair.
- A predictive model identified three salivary biomarkers with high sensitivity (>88.9%) and specificity (>94.4%), achieving ~100% accuracy with combined metabolites.
Conclusions:
- High-intensity training and EIMD significantly alter salivary metabolite profiles.
- Salivary metabolite trends mirror some blood biochemical indicators.
- Salivary biomarkers, especially when combined, show strong potential for accurate EIMD prediction.
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