基于GEO芯片筛选老年肌肉减少症的分子标记物
To Screen Molecular Markers for Sarcopenia in the Elderly Based on GEO Chips
摘要: 目的：基于基因表达综合(GEO)数据集，利用生物信息学方法筛选并分析肌少症的潜在生物标志物。方法：从GEO数据库中获取肌少症的数据集(GSE1428)，利用R语言读取并筛选出差异表达基因，通过STRING数据库进行PPI蛋白互作以及使用Cytoscape 3.7.1软件的随机6种算法，每种算法筛选出排名前20的基因，取其交集得到关键Hub基因。使用DAVID数据库对关键Hub基因进行GO功能和KEGG富集分析。结果共筛选出969个差异表达基因，其中上调基因469个，下调基因429个。通过6种算法筛选并取交集，获得8个关键Hub基因，包括CUL7、CCND1、CYCS、ACTB、MAPK8、H3-3B、JUN、IGF1。GO功能富集分析共得到10个生物学过程条目，4个细胞组分条目，4个分子功能条目。KEGG通路富集分析得到20个条目。结论：本研究筛选的8个Hub基因可能作为肌少症的潜在生物标志物，为肌少症的诊断和治疗提供了新的参考依据。
Abstract: Objective: To screen and analyze potential biomarkers of sarcopenia by bioinformatics method based on integrated gene expression (GEO) dataset. Method: The sarcopenia data set (GSE1428) was obtained from the GEO database, the differense-expressed genes were read and screened by using R language, PPI protein interaction was carried out by using STRING database and 6 random algorithms using Cytoscape 3.7.1 software, and the top 20 genes were screened by each algorithm. The intersection of the key Hub genes was obtained. GO function and KEGG enrichment of key Hub genes were analyzed using DAVID database. Results: A total of 969 differentially expressed genes were screened, including 469 up-regulated genes and 429 down-regulated genes. Eight key Hub genes, including CUL7, CCND1, CYCS, ACTB, MAPK8, H3-3B, JUN and IGF1, were obtained through the selection and intersection of six algorithms. A total of 10 biological process items, 4 cell component items and 4 molecular function items were obtained by GO functional enrichment analysis. KEGG pathway enrichment analysis yielded 20 items. Conclusion: The 8 Hub genes screened in this study may be used as potential biomarkers of sarcopenia, providing a new reference for the diagnosis and treatment of sarcopenia.
文章引用：王健翔, 殷小焦, 张嘉跃, 穆茂容, 高云. 基于GEO芯片筛选老年肌肉减少症的分子标记物[J]. 临床医学进展, 2025, 15(9): 1307-1316. https://doi.org/10.12677/acm.2025.1592625

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