Pacheco Christina, Felipe Stela Mirla da Silva, Soares Milca Magalhães Dias de Carvalho, Alves Juliana Osório, Soares Paula Matias, Leal-Cardoso José Henrique, Loureiro Adriano César Carneiro, Ferraz Alex Soares Marreiros, de Carvalho Denise Pires, Ceccatto Vânia Marilande
Instituto Superior de Ciências Biomédicas, Universidade Estadual do Ceará, Fortaleza, CE, Brazil.
Instituto de Educação Física e Esportes, Universidade Federal do Ceará, Fortaleza, CE, Brazil.
Biol Sport. 2018 Mar;35(1):3-11. doi: 10.5114/biolsport.2018.70746. Epub 2017 Oct 5.
Regular exercise is an exogenous factor of gene regulation with numerous health benefits. The study aimed to evaluate human genes linked to physical exercise in an 'omic scale, addressing biological questions to the generated database. Three literature databases were searched with the terms 'exercise', 'fitness', 'physical activity', 'genetics' and 'gene expression'. For additional references, papers were scrutinized and a text-mining tool was used. Papers linking genes to exercise in humans through microarray, RNA-Seq, RT-PCR and genotyping studies were included. Genes were extracted from the collected literature, together with information on exercise protocol, experimental design, gender, age, number of individuals, analytical method, fold change and statistical data. The 'omic scale dataset was characterized and evaluated with bioinformatics tools searching for gene expression patterns, functional meaning and gene clusters. As a result, a physical exercise-related human gene compendium was created, with data from 58 scientific papers and 5.147 genes functionally correlated with 17 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. While 50.9% of the gene set was up-regulated, 41.9% was down-regulated. 743 up- and 530 down-regulated clusters were found, some connected by regulatory networks. To summarize, up- and down-regulation was encountered, with a wide genomic distribution of the gene set and up- and down-regulated clusters possibly assembled by functional gene evolution. Physical exercise elicits a widespread response in gene expression.
规律运动是一种具有众多健康益处的基因调控外在因素。该研究旨在从“组学”层面评估与体育锻炼相关的人类基因，针对所生成的数据库解决生物学问题。使用“运动”“健身”“身体活动”“遗传学”和“基因表达”等术语搜索了三个文献数据库。为获取更多参考文献，对论文进行了仔细审查并使用了文本挖掘工具。纳入了通过微阵列、RNA测序、逆转录聚合酶链反应和基因分型研究将基因与人类运动联系起来的论文。从收集的文献中提取基因，以及有关运动方案、实验设计、性别、年龄、个体数量、分析方法、倍数变化和统计数据的信息。利用生物信息学工具对“组学”层面的数据集进行特征描述和评估，以寻找基因表达模式、功能意义和基因簇。结果，创建了一个与体育锻炼相关的人类基因汇编，其中的数据来自58篇科学论文以及5147个与17条京都基因与基因组百科全书（KEGG）通路功能相关的基因。该基因集中50.9%的基因上调，41.9%的基因下调。发现了743个上调和530个下调的基因簇，其中一些通过调控网络相互连接。总之，出现了上调和下调情况，基因集在基因组中广泛分布，上调和下调的基因簇可能是通过功能基因进化组装而成。体育锻炼会引发基因表达的广泛反应。
