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.

Narra J Pub Date : 2025-04-01 Epub Date: 2025-02-24 DOI:10.52225/narra.v5i1.1764
Rias G Kinanti, Anditri Weningtyas, Kiky M Ariesaka, Sendhi T Puspitasari, Ni Lka Arsani, Hung E Liao
{"title":"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.","authors":"Rias G Kinanti, Anditri Weningtyas, Kiky M Ariesaka, Sendhi T Puspitasari, Ni Lka Arsani, Hung E Liao","doi":"10.52225/narra.v5i1.1764","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":517416,"journal":{"name":"Narra J","volume":"5 1","pages":"e1764"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12059816/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Narra J","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52225/narra.v5i1.1764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/24 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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. PRKACA and CALM3 were identified as key upregulated genes in trained individuals with central roles in these pathways. The area under the curve (AUC) values for CALM3 and PRKACA were 0.8558 and 0.8846, respectively, for differentiating the two groups. Validation in human samples confirmed that CALM3 expression was significantly higher in athletes (p = 0.00i), suggesting its critical role in muscle adaptation. However, PRKACA expression differences between the groups were not statistically significant (p = 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.

Abstract Image

Abstract Image

Abstract Image

使用生物信息学分析和体外验证鉴定久坐与力量和耐力训练个体静息人类骨骼肌差异表达基因。
了解骨骼肌适应不同训练方案的分子机制对于促进肌肉健康和表现干预至关重要。本研究的目的是利用生物信息学和体外验证,研究久坐个体与力量和耐力训练的运动员相比,静息骨骼肌的分子和遗传适应性。对GSE9405数据集进行差异表达基因(DEG)分析。进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,然后进行蛋白质-蛋白质相互作用(PPI)网络分析和接受者工作特征(ROC)分析。为了验证生物信息学的发现,使用实时聚合酶链反应(PCR)在专业运动员和年龄匹配的非运动员中评估了两个鉴定基因的表达。GSE9405数据集中的RNA表达谱分析鉴定出426个deg,在训练个体中165个上调,261个下调。富集分析强调了与代谢效率、线粒体功能和肌肉重塑相关的途径,这些都对运动表现至关重要。PRKACA和CALM3在训练个体中被确定为在这些通路中起核心作用的关键上调基因。CALM3和PRKACA的曲线下面积(AUC)值分别为0.8558和0.8846,用于区分两组。在人体样本中的验证证实,CALM3在运动员中的表达明显更高(p = 0.00i),表明其在肌肉适应中的关键作用。而PRKACA在各组间的表达差异无统计学意义(p = 0.32i)。这些发现提供了对长期训练的基因水平反应的见解,为有针对性的干预提供了基础,以增强肌肉健康和运动表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信