人体疾病运动机制的系统分析

IF 1.4 4区生物学 Q4 GENETICS & HEREDITY

Genetics research Pub Date : 2022-03-24 DOI:10.1155/2022/8555020

Lei Pu, Peng Sun

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引用次数: 1

摘要

背景运动作为健康生活方式的一部分，已被证明对疾病的治疗和患者的预后有益。基于此，我们的研究重点是运动对人类健康的影响。方法为了研究和分析GSE18966基因表达谱中的样本，我们首先通过GEO2R对差异表达基因（DEGs）进行分析，然后通过注释、可视化和综合发现数据库对DEGs在基因本体论功能和京都基因和基因组百科全书（KEGG）途径中的富集进行分析。然后，我们通过基因集富集分析深入研究了KEGG中的基因集富集。之后，我们基于检索相互作用基因的搜索工具在线数据库，实现了DEG的蛋白质-蛋白质相互作用（PPI）网络的构建，并对枢纽基因进行了筛选和鉴定。结果我们在GSE18966中从运动前后的样本中鉴定出433个上调的DEG和186个下调的DEG。通过分析发现，这些富含DEG的通路，如VEGF信号通路、Wnt信号通路和胰岛素信号通路，都参与了各种疾病的调节。然后，GSEA分析显示，糖胺聚糖生物合成硫酸软骨素、II型糖尿病和基底细胞癌与运动样本有关。这些途径对各种疾病的影响可以通过锻炼来改善。最后，通过PPI网络鉴定出3个上调的枢纽基因（VEGFA、POMC和NRAS）和3个下调的枢纽基因。结论运动前后样本的生物信息学分析提供了与运动相关的关键途径和基因来调节各种疾病，证实了运动对许多疾病的治疗具有重要影响。

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The Systematic Analysis of Exercise Mechanism in Human Diseases

Background As a part of a healthy lifestyle, exercise has been proven to be beneficial for the treatment of diseases and the prognosis of patients. Based on this, our research focuses on the impact of exercise on human health. Methods To study and analyze the samples in the GSE18966 gene expression profile, we first performed an analysis on the differential expressed genes (DEGs) through GEO2R, and then the DEGs enrichment in Gene Ontology functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways through the Database for Annotation, Visualization and Integrated Discovery database was conducted. Then, we delved into the gene set enrichment in KEGG through gene set enrichment analysis. After that, we achieved the construction of the protein-protein interaction (PPI) network of DEGs based on the Search Tool for the Retrieval of Interacting Genes online database, and the hub genes were screened and identified. Results We identified 433 upregulated DEGs and 186 downregulated DEGs from the samples before and after exercise in GSE18966. Through analysis, it was found that these DEGs-enriched pathways, such as the VEGF signaling pathway, the Wnt signaling pathway, and the insulin signaling pathway, were all involved in the regulation of various diseases. Then, GSEA analysis revealed that glycosaminoglycan biosynthesis chondroitin sulfate, type II diabetes mellitus, and basal cell carcinoma were related with exercise samples. The effects of these pathways on various diseases could be improved through exercise. Finally, 3 upregulated hub genes (VEGFA, POMC, and NRAS) and 3 downregulated hub genes (HRAS, NCOR1, and CAV1) were identified through the PPI network. Conclusions The bioinformatic analysis of samples before and after exercise provides key pathways and genes related to exercise to regulate various diseases, which confirms that exercise has an important influence on the treatment of many diseases.

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来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.