目的:探讨特发性肺纤维化(IPF)治疗的新途径。方法:通过生物信息学算法来探索与IPF进展相关的共同表达基因和生物途径。应用加权基因共表达网络分析(WGCNA)识别两组数据集重叠的共表达基因模块。随后,利用GEO公共数据集公布的基因表达数据(GSE24206和GSE53845)识别常见差异表达基因(DEGs)和相关功能。然后采用实验对富集到的基因进行验证。结果:通过生物信息学算法,利用WGCNA在两组数据集中鉴定出与IPF进展相关的核心基因模块。结合GSE24206和GSE53845中的基因表达数据识别出25个核心基因,其中包括补体因子H(CFH)、COL14A1、CXCL12、FNDC1、POSTN 5个关键候选基因。通过基因本体和通路分析,揭示了这些基因与IPF生物过程、分子功能和细胞组分的关联。通过蛋白质-蛋白质相互作用(PPI)网络分析,确认了CFH在IPF中的重要性。收集IPF患者的临床标本及正常标本验证,包括实时荧光定量PCR(RT-qPCR)、免疫组化和免疫印迹法进一步证实了CFH与IPF进程密切相关。结论:CFH在IPF患者中显著升高,为CFH成为治疗IPF疾病的靶点提供了依据,为IPF提供了新的治疗方式。

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