Analytical Strategies for Multi-Omics Profiling of Exercise-Induced Muscle Damage and Recovery: From Sampling and Separations to Chemometric Biomarker Discovery

施留峰; Lingyi Wei; Le Xu; Yongrui Tang

doi:10.1039/d6ay00150e

January 1, 2026Analytical Methods

Analytical Strategies for Multi-Omics Profiling of Exercise-Induced Muscle Damage and Recovery: From Sampling and Separations to Chemometric Biomarker Discovery

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Key Points

This research aims to explore analytical strategies for profiling muscle damage and recovery through multi-omics approaches.
Used multi-omics profiling techniques to analyze exercise-induced muscle damage and recovery stages.
Employed advanced analytical chemistry methods for biomarker discovery among muscle proteins and metabolites.
Integrated chemometric analysis to interpret data from various omics layers.
Identified key biomarkers related to muscle recovery and damage with notable differences pre- and post-exercise.
Demonstrated specific molecular responses associated with efficient tissue repair processes.
Revealed potential new targets for enhancing recovery strategies in physical training.

Implication

Analyzes biomarker discovery for exercise-induced muscle damage, suggesting novel recovery insights.

Abstract

Exercise-induced muscle damage (EIMD) triggers a coordinated cascade of molecular responses that drive tissue repair and physiological adaptation. Recent advances in analytical chemistry have enabled multi-omics profiling to capture these...

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Cite This Study

施留峰 et al. (2026) studied this question.

synapsesocial.com/papers/69f2f19c1e5f7920c6387351 https://doi.org/10.1039/d6ay00150e

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Analytical Strategies for Multi-Omics Profiling of Exercise-Induced Muscle Damage and Recovery: From Sampling and Separations to Chemometric Biomarker Discovery

Key Points

Implication

Abstract

Discussion

Cite This Study

Analytical Strategies for Multi-Omics Profiling of Exercise-Induced Muscle Damage and Recovery: From Sampling and Separations to Chemometric Biomarker Discovery

Key Points

Implication

Abstract

Discussion

Cite This Study

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