摘要
目的通过基因组生物信息学分析探讨特发性肺纤维化(IPF)肺内相关共病(肺动脉高压、阻塞性睡眠呼吸暂停综合征、慢性阻塞性肺疾病、肺癌)异病同证生物学基础。方法下载GSE110147、GSE113439、GSE135917、GSE106986和GSE118370数据集,筛选各病例组与对照组的差异基因,运用Cytoscape3.10.0软件进行拓扑分析以筛选核心基因,运用OmicShare平台对核心基因进行GO和KEGG通路富集分析。结果共筛选出IPF肺内相关共病核心基因23个。GO富集分析显示,核心基因生物过程主要富集于细胞进程、代谢进程、生物调控/生物进程调控、发育进程、底物定位进程、刺激反应、免疫系统进程、信号转导,细胞组分主要富集于细胞解剖实体、含蛋白复合物,分子功能主要富集于结合途径、酶催化活性、结构分子活性、分子适配器活性、分子功能调节因子、转录调控因子活性;KEGG通路富集分析显示,核心基因主要富集于真核生物核糖体的生物合成、糖尿病并发症AGE-RAGE信号通路、Th17细胞分化、JAK-STAT信号通路、RNA聚合酶、中性粒细胞胞外诱捕网形成等信号通路。结论运用基因组生物信息学分析探讨IPF肺内相关共病核心基因及信号通路,可在一定程度上揭示IPF肺内相关共病异病同证作用机制。
Objective To explore the biological basis of different diseases with the same syndrome for pulmonary related comorbidities(pulmonary hypertension,obstructive sleep apnea syndrome,chronic obstructive pulmonary disease,lung cancer)in idiopathic pulmonary fibrosis(IPF)through genomic bioinformatics analysis.Methods GSE110147,GSE113439,GSE135917,GSE106986 and GSE118370 datasets were downloaded as research subjects.The differential genes between each disease group and the control group were screened.Cytoscape 3.10.0 software was used for topology analysis to screen core genes.OmicShare was used to perform GO and KEGG pathway enrichment analyses on core genes.Results A total of 23 core genes related to IPF was obtained.GO enrichment analysis showed that core genes were mainly enriched in biological processes such as cellular process,metabolic process,biological regulation/biological process,developmental process,localization,response to stimulus,immune system process and signaling;in cellular components such as cellular anatomical entity and proteincontaining complex;in molecular functions such as binding,catalytic activity,structural molecule activity,molecular adaptor activity,molecular function regulator and transcription regulator activity.KEGG pathway enrichment analysis showed that core genes were mainly enriched in ribosome biogenesis in eukaryotes,AGE-RAGE signaling pathway in diabetic complications,Th17 cell differentiation,JAK-STAT signaling pathway,RNA polymerase,neutrophil extracellular trap formation.Conclusion Using genomic bioinformatics analysis to explore the core genes and signaling pathways of pulmonary related comorbidities in IPF can reveal the mechanism of different diseases with the same syndrome for pulmonary related comorbidities in IPF to a certain extent.
作者
刘勇明
吕晓东
庞立健
臧凝子
梁元钰
王靖宇
王佳然
邹吉宇
盛野
LIU Yongming;LYU Xiaodong;PANG Lijian;ZANG Ningzi;LIANG Yuanyu;WANG Jingyu;WANG Jiaran;ZOU Jiyu;SHENG Ye(Liaoning University of Traditional Chinese Medicine,Shenyang 110847,China;Affiliated Hospital of Liaoning University of Traditional Chinese Medicine,Shenyang 110032,China)
出处
《中国中医药信息杂志》
CAS
CSCD
2024年第12期20-26,共7页
Chinese Journal of Information on Traditional Chinese Medicine
基金
国家自然科学基金青年科学基金(82204993、82204787)
国家自然科学基金面上项目(82274440)
国家中医药管理局中医络病重点学科建设项目(T0302)
辽宁省科技厅中央引导地方科技发展资金(2023JH6/100100025)
辽宁省科技厅创新能力提升联合基金(2022-NLTS-13-03)
辽宁省自然科学基金联合基金(面上资助计划项目)(2023-MSLH-183)
沈阳市科技创新平台专项绩效奖励项目—沈阳市中医肺病临床医学研究中心(233240)
辽宁中医药大学自然科学类重点项目(2021LZY040)。
关键词
特发性肺纤维化
肺内相关共病
异病同证
基因组学
生物信息学
idiopathic pulmonary fibrosis
pulmonary related comorbidity
different diseases with the same syndrome
genomics
bioinformatics
