Time series analysis of key genes and identification of signaling pathways in skeletal muscle inflammation after high-load exercise
10.3969/j.issn.1000-6710.2025.01.004
- VernacularTitle:大负荷运动后骨骼肌炎症反应的关键基因时序分析及信号通路鉴定
- Author:
Yan ZHANG
1
;
Longyu LIANG
;
Yu XIA
;
Yan QIAN
;
Haili DING
Author Information
1. 成都体育学院运动医学与健康学院(四川 成都 610041)
- Publication Type:Journal Article
- Keywords:
exercise;
skeletal muscle injury;
differentially expressed genes;
inflammatory response;
time series analysis
- From:
Chinese Journal of Sports Medicine
2025;44(1):29-43
- CountryChina
- Language:Chinese
-
Abstract:
Objective To examine the time window effect of high-load exerciseon skeletal muscle in-flammation genes,and identify the key genes and signaling pathways involved in this process.Methods Forty-eight Sprague-Dawley rats were randomly assigned to a control group(group C,n=8)and an ex-ercise group(group E,n=40).Gastrocnemius muscles were collected immediately(group E0),12h(group E12),24h(group E24),48h(group E48),and 72 h(group E72)after exercise for transcrip-tome sequencing.Differentially expressed genes(DEGs)were identified,and enrichment analysis was carried out using the Gene Ontology(GO)and the Kyoto Encyclopedia of Genes and Genomes(KEGG)annotations.Meanwhile,inflammation-related genes were obtained from databases,and differ-entially expressed inflammation-related genes(DEIRGs)were done through identifying their intersec-tion with DEGs.Moreover,the Mfuzz algorithm was used for time series clustering to obtain subsets with similar characteristics.GO and KEGG analyses,along with protein interaction network analysis,were performed to obtain key DEIRGs,followed by secondary functional enrichment to analyze changes in expression of key genes over time and identify key signaling pathways.Results Seven DEIRG clus-ters were obtained through Mfuzz time series clustering of skeletal muscle inflammation genes after high-load exercise.Overall,the expression of DEGs in cluster 5 was downregulated,while that in cluster 7 was upregulated.The expression of DEGs in clusters 3 and 4 was upregulated at E0 and rap-idly downregulated at E12.In contrast,the expression of DEGs in cluster 2 and 6 were downregulated at E0 and rapidly upregulated at E12.The expression of DEGs in cluster 1 was upregulated at E0,rapidly downregulated at E12,and remained upregulated at E24.Screening identified TP53,STAT3,CD44,AKT1,KDR,GJA1,CYCS,HIF1A,IQGAP3,FASN,and TFRC as key DEIRGswhich were enriched in apoptosis,HIF-1,apoptosis,ferroptosis,MAPK,VEGF,PI3K-Akt,insulin resistance,FoxO,AMPK and the JAK-STAT signaling pathway.Conclusion Inflammation-related genes exhibit temporal dynamic changes in exercise-induced muscle damage and show significant time window effects at 12 h after exercise.The key targets STAT3,AKT1 and HIF-1A react to exercise-induced muscle damage through the JAK-STAT,PI3K-Akt,HIF-1 and VEGF signaling pathways,and promote tissue repair.
