非酒精性脂肪性肝病及动脉粥样硬化的基因串扰综合分析OACSTPCD
Integrated analysis of gene crosstalk in non-alcoholic fatty liver disease and athero-sclerosis
[目的]使用生物信息学的方法寻找非酒精性脂肪性肝病(NAFLD)和动脉粥样硬化(As)的共同转录特征,通过两种疾病的基因串扰分析,挖掘NAFLD相关As新的潜在机制和关键靶点,并进一步在动物组织和人血清样本中验证关键靶点的表达水平.[方法]GEO数据库下载NAFLD(数据集GSE89632)和As(数据集GSE43292)的基因表达谱,进行差异基因分析和加权基因共表达网络分析,筛选两种疾病的共享基因.通过String数据库、蛋白质互作分析和R软件等工具对共享基因进行富集分析.利用Cytoscape软件计算、外部数据集(GSE100927)验证及机器学习方法(LASSO回归)筛选出核心基因.最后,通过构建高脂饮食非酒精脂肪肝和As小鼠模型以及收集NAFLD合并冠心病患者的外周血清,验证重要的核心基因.[结果]识别出两种疾病的75个共享基因,发现共享基因的主要富集通路,包括细胞因子-细胞因子受体相互作用、IL-17信号通路、脂质和As、NF-κB信号通路等.综合多种生物信息学方法,最终筛选出2个重要的核心基因(MMP-9和CCL3).动物实验验证结果表明,高脂饮食组小鼠肝脏和主动脉窦组织的MMP-9和CCL3含量都明显升高,高脂饮食组小鼠肝脏组织的MMP-9和CCL3含量分别为对照组的2.43倍(P<0.001)和1.35倍(P<0.01),高脂饮食组小鼠主动脉窦组织的MMP-9和CCL3含量分别为对照组的2.10倍(P<0.001)和1.58倍(P<0.01).人血清样本验证结果表明,NAFLD合并冠心病患者血清中的MMP-9和CCL3含量分别为单纯冠心病患者的1.21倍(P<0.01)和1.29倍(P<0.01).[结论]本研究基于生物信息学分析发现MMP-9和CCL3可能是NAFLD相关As中发挥关键作用的核心基因,为研究NAFLD相关As提供一定的靶点参考.
Aim To investigate the shared transcriptional characteristics of non-alcoholic fatty liver disease(NAFLD)and atherosclerosis(As)using bioinformatics techniques.The goal is to identify potential mechanisms and key targets of As that are linked to NAFLD through gene crosstalk analysis of both diseases.Additionally,the study will validate the expression levels of these key targets in animal tissues and human serum samples.Methods The gene ex-pression profiles of NAFLD(dataset GSE89632)and As(dataset GSE43292)were obtained from GEO database.Differ-ential gene analysis and weighted gene co-expression network analysis were conducted to identify common genes between the two diseases.These shared genes were further analyzed using the String database for protein interaction analysis and R software.Core genes were identified through calculations in Cytoscape software,validation with external datasets(GSE100927),and machine learning techniques(LASSO regression).Finally,key core genes were determined by crea-ting nonalcoholic fatty liver and As mouse models on a high-fat diet and collecting peripheral serum samples from patients with NAFLD and coronary heart disease(CHD).Results Seventy-five shared genes were identified between the two diseases,with major enrichment pathways including cytokine-cytokine receptor interaction,IL-17 signaling pathway,lipid and atherosclerosis,and NF-κB signaling pathway.Through integration of multiple bioinformatics methods,two core genes(MMP-9 and CCL3)were identified.Subsequent animal experiments demonstrated a significant increase in MMP-9 and CCL3 levels in the liver and aortic sinus of mice fed with high-fat diet,MMP-9 and CCL3 levels in the liver tissue of high-fat diet-fed mice were 2.43 times(P<0.001)and 1.35 times(P<0.01)higher than the control group,in the aortic sinus tissue,MMP-9 and CCL3 levels were 2.10 times(P<0.001)and 1.58 times(P<0.01)higher.Human serum sample verification further supported these findings,showing MMP-9 and CCL3 levels in patients with both NAFLD and CHD to be 1.21 times(P<0.01)and 1.29 times(P<0.01)higher than in patients with CHD alone.Conclusion This study identified MMP-9 and CCL3 may play key roles in NAFLD-related As,providing potential targets for the study of NAFLD-related As.
孟思雨;倪天祎;耿金;葛培兵;王丙剑
南京医科大学附属淮安第一医院心内科,江苏省淮安市 223300
临床医学
非酒精性脂肪性肝病动脉粥样硬化生物信息学分析机器学习核心基因
non-alcoholic fatty liver diseaseatherosclerosisbioinformatics analysismachine learningcore gene
《中国动脉硬化杂志》 2024 (007)
573-582 / 10
淮安市心脑血管病研究重点实验室基金(HAP202202);江苏省研究生实践创新计划项目(SJCX22_0666)
评论