Bioinformatics analysis of the genes related to lipid metabolism in atherosclerosis

doi:10.3969/j.issn.1000-1565.2024.02.009

Abstract

Abstract: To explore the genes related to lipid metabolism in atherosclerosis, the dataset was downloaded from the gene expression omnibus(GEO)database, and weighted correlation network analysis(WGCNA), differential analysis and Venn diagram were used to screen the key genes, and then the disease correlation analysis was carried out. The results showed that, the ten key genes of HMGCR, HMGCS1, LDLR, DHCR24, DHCR7, SQLE, IDI1, INSIG1, FDFT1, MSMO1 were positively correlated with low density lipoprotein receptor(LDLR); and HMGCR, DHCR7 and INSIG1 were positively correlated with interleukin-10(IL10); and except DHCR7, the other nine genes were negatively correlated with ATP-binding cassette transporter A1(ABCA1); and DHCR24, SQLE, IDI1, INSIG1 and FDFT1 were negatively correlated with peroxisome proliferator activated receptor gamma(PPARG), the difference was statistically significant(P<0.05). GO and KEGG enrichment analysis showed that, the key- DOI:10.3969/j.issn.1000-1565.2024.02.009利用生物信息学筛选动脉粥样硬化脂质代谢基因申俊敏,林芳蕊,王宝沣,刘莉(河北大学基础医学院,河北保定 071000)摘要:为挖掘动脉粥样硬化脂质代谢相关基因,从基因表达综合(gene expression omnibus,GEO)数据库中下载数据集,利用加权相关网络分析(weighted correlation network analysis, WGCNA)、差异分析以及韦恩图筛选关键基因,并进行疾病相关性分析.结果显示,10个关键基因HMGCR、HMGCS1、LDLR、DHCR24、DHCR7、SQLE、IDI1、INSIG1、FDFT1、MSMO1与低密度脂蛋白受体(low density lipoprotein receptor, LDLR)呈正相关;HMGCR、DHCR7和INSIG1与白介素10(interleukin-10, IL10)呈正相关;除DHCR7外,其余9个基因与ATP结合盒转运体A1(ATP-binding cassette transporter A1, ABCA1)呈负相关;DHCR24、SQLE、IDI1、INSIG1和FDFT1与过氧化物酶体增殖物激活受体γ(peroxisome proliferator activated receptor gamma, PPARG)呈负相关,差异具有统计学意义(P<0.05).GO和KEGG富集分析显示,关键模块基因主要富集于类固醇、胆固醇和甾醇生物合成及代谢过程.10个关键基因可为动脉粥样硬化有效治疗靶点的筛选与研发提供借鉴作用.关键词:动脉粥样硬化;生物信息学;脂质代谢;富集分析;疾病相关性分析中图分类号:R34 文献标志码:A 文章编号:1000-1565(2024)02-0182-08Bioinformatics analysis of the genes related tolipid metabolism in atherosclerosisSHEN Junmin, LIN Fangrui, WANG Baofeng, LIU Li(College of Basic Medicine, Hebei University, Baoding 071000, China)Abstract: To explore the genes related to lipid metabolism in atherosclerosis, the dataset was downloaded from the gene expression omnibus(GEO)database, and weighted correlation network analysis(WGCNA), differential analysis and Venn diagram were used to screen the key genes, and then the disease correlation analysis was carried out. The results showed that, the ten key genes of HMGCR, HMGCS1, LDLR, DHCR24, DHCR7, SQLE, IDI1, INSIG1, FDFT1, MSMO1 were positively correlated with low density lipoprotein receptor(LDLR); and HMGCR, DHCR7 and INSIG1 were positively correlated with interleukin-10(IL10); and except DHCR7, the other nine genes were negatively correlated with ATP-binding cassette transporter A1(ABCA1); and DHCR24, SQLE, IDI1, INSIG1 and FDFT1 were negatively correlated with peroxisome proliferator activated receptor gamma(PPARG), the difference was statistically significant(P<0.05). GO and KEGG enrichment analysis showed that, the key- 收稿日期:2023-04-12;修回日期:2023-08-20 基金项目:河北大学多学科交叉项目(2021DXKJC13);中央引导地方科技发展资金项目(226Z2604G);河北省省级研究生示范课程建设项目(KCJSX2022010) 第一作者:申俊敏(1994— ),女,河北大学在读硕士研究生,主要从事心血管药理学研究. E-mail:sjm15369328991@163.com 通信作者:刘莉(1979— ),女,河北大学副教授,博士,主要从事心血管药理学、药物活性筛选研究.E-mail:liulidbb@126.com第2期申俊敏等:利用生物信息学筛选动脉粥样硬化脂质代谢基因module genes were mainly enriched in steroid, cholesterol and sterol biosynthesis and metabolism processes. The screening of key genes can provide reference for the screening and development of effective therapeutic targets for atherosclerosis.

Key words: atherosclerosis, bioinformatics, lipid metabolism, enrichment analysis, disease correlation analysis

CLC Number:

SHEN Junmin, LIN Fangrui, WANG Baofeng, LIU Li. Bioinformatics analysis of the genes related to lipid metabolism in atherosclerosis[J]. Journal of Hebei University(Natural Science Edition), 2024, 44(2): 182-189.

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