Identification of differentially expressed genes in resting human skeletal muscle of sedentary versus strength and endurance-trained individuals using bioinformatics analysis and in vitro validation

Understanding the molecular mechanisms underlying skeletal muscle adaptation to different training regimens is essential for advancing muscle health and performance interventions. The aim of this study was to investigate molecular and genetic adaptations in the resting skeletal muscle of sedentary individuals compared to strength- and endurance-trained athletes using bioinformatics and in vitro validation. Differentially expressed genes (DEG) analysis of the GSE9405 dataset was conducted. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed, followed by protein-protein interaction (PPI) network analysis and receiver operating characteristic (ROC) analysis. To validate the bioinformatics findings, the expression of two identified genes was assessed using real-time polymerase chain reaction (PCR) in professional athletes and age-matched non-athletes. Analysis of RNA expression profiles from the GSE9405 dataset identified 426 DEGs, with 165 upregulated and 261 downregulated in trained individuals. Enrichment analysis highlighted pathways related to metabolic efficiency, mitochondrial function, and muscle remodeling, all crucial for athletic performance. <i>PRKACA</i> and <i>CALM3</i> were identified as key upregulated genes in trained individuals with central roles in these pathways. The area under the curve (AUC) values for <i>CALM3</i> and <i>PRKACA</i> were 0.8558 and 0.8846, respectively, for differentiating the two groups. Validation in human samples confirmed that <i>CALM3</i> expression was significantly higher in athletes (<i>p</i> = 0.00i), suggesting its critical role in muscle adaptation. However, <i>PRKACA</i> expression differences between the groups were not statistically significant (<i>p</i> = 0.32i). These findings provide insights into gene-level responses to long-term training, offering a basis for targeted interventions to enhance muscle health and athletic performance.

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Journal
Narra J
Published
2025-02-24
DOI
https://doi.org/10.52225/narra.v5i1.1764
Primary Topic
Muscle Physiology and Disorders
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article
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article

Identification of differentially expressed genes in resting human skeletal muscle of sedentary versus strength and endurance-trained individuals using bioinformatics analysis and in vitro validation

Hung‐En Liao, Sendhi Tristanti Puspitasari, Kiky Martha Ariesaka, Anditri Weningtyas et al.
1 links
Narra J
Muscle Physiology and Disorders
article

Identification of differentially expressed genes in resting human skeletal muscle of sedentary versus strength and endurance-trained individuals using bioinformatics analysis and in vitro validation

Hung‐En Liao, Sendhi Tristanti Puspitasari, Kiky Martha Ariesaka, Anditri Weningtyas, Rias G. Kinanti, Ni LKA. Arsani
article en

Abstract

Understanding the molecular mechanisms underlying skeletal muscle adaptation to different training regimens is essential for advancing muscle health and performance interventions. The aim of this study was to investigate molecular and genetic adaptations in the resting skeletal muscle of sedentary individuals compared to strength- and endurance-trained athletes using bioinformatics and in vitro validation. Differentially expressed genes (DEG) analysis of the GSE9405 dataset was conducted. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed, followed by protein-protein interaction (PPI) network analysis and receiver operating characteristic (ROC) analysis. To validate the bioinformatics findings, the expression of two identified genes was assessed using real-time polymerase chain reaction (PCR) in professional athletes and age-matched non-athletes. Analysis of RNA expression profiles from the GSE9405 dataset identified 426 DEGs, with 165 upregulated and 261 downregulated in trained individuals. Enrichment analysis highlighted pathways related to metabolic efficiency, mitochondrial function, and muscle remodeling, all crucial for athletic performance. <i>PRKACA</i> and <i>CALM3</i> were identified as key upregulated genes in trained individuals with central roles in these pathways. The area under the curve (AUC) values for <i>CALM3</i> and <i>PRKACA</i> were 0.8558 and 0.8846, respectively, for differentiating the two groups. Validation in human samples confirmed that <i>CALM3</i> expression was significantly higher in athletes (<i>p</i> = 0.00i), suggesting its critical role in muscle adaptation. However, <i>PRKACA</i> expression differences between the groups were not statistically significant (<i>p</i> = 0.32i). These findings provide insights into gene-level responses to long-term training, offering a basis for targeted interventions to enhance muscle health and athletic performance.

Narra JVol. 5(1)
State University of Malang (ID), Asia University (TW), University of Brawijaya (ID), Universitas Pendidikan Ganesha (ID), Ministry of Health and Welfare (TW)
Good health and well-being
Openalex Percentile: Top 97%
Muscle Physiology and Disorders
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