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February 6, 2026PLoS ONE0 citationsOpen Access

Transcriptomic analysis reveals the impact of concurrent, resistance, and endurance training on skeletal muscle

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LZLongfei ZhaoHLHuangyan LiDLDongli Li

Key Points

  • The study aims to understand how concurrent, resistance, and endurance training affect skeletal muscle at the molecular level.
  • Conducted a 12-week training program with three groups: concurrent, resistance, and endurance.
  • Measured physiological changes like lean body mass, maximal strength, and aerobic capacity.
  • Performed transcriptomic analyses to identify differentially expressed genes related to each training modality.
  • All training groups showed similar gains in lean body mass.
  • Resistance and endurance training led to unique improvements in strength and aerobic capacity, respectively.
  • Concurrent training maintained strength gains but had reduced anaerobic power improvements.
  • Transcriptomic analysis revealed 392 genes were affected in concurrent training, while resistance and endurance affected 17 and 49 genes, respectively.

Abstract

The shared and divergent molecular mechanisms underlying skeletal muscle adaptation to different exercise modalities are not fully understood. This study aimed to compare the physiological and transcriptomic responses to 12 weeks of concurrent (CET), resistance (RES), or endurance (END) training in healthy males. While all groups exhibited similar increases in lean body mass, RES and END elicited distinct functional improvements in maximal strength and aerobic capacity, respectively. Notably, CET preserved strength gains comparable to RES but showed a blunted improvement in anaerobic power. Transcriptomic analyses revealed both common and modality-specific signatures. Although the number of differentially expressed genes varied across groups (CET: 392; RES: 17; END: 49), enrichment analyses consistently identified the engagement of extracellular matrix (ECM) organization pathways. Gene set enrichment analysis further demonstrated a universal activation of ECM remodeling and an inhibition of translation initiation processes post-training. Weighted gene co-expression and protein-protein interaction network analyses pinpointed core genes associated with each modality, including COL1A1/COL1A2 for CET and END, and SPARC/ASPN for RES. Regulatory network predictions implicated the miR-29 family and JUN as potential co-regulators of collagen-related genes. In conclusion, this integrated analysis establishes ECM remodeling as a fundamental transcriptional response supporting exercise-induced hypertrophy common to diverse training modalities, while simultaneously identifying distinct gene regulatory networks that underlie their divergent functional outcomes.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/698585bd8f7c464f230094d2https://doi.org/10.1371/journal.pone.0340309
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