Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity.
Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity.
复制标题
针对肥胖症脂肪组织的候选基因和潜在治疗药物的生物信息学分析。
DOI：
10.1080/21623945.2021.2013406
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发表时间：
2022-12
期刊：
影响因子：
3.3
通讯作者：
Cheng XS
中科院分区：
文献类型：
--
作者：
Yu Y;Zhang YH;Liu L;Yu LL;Li JP;Rao JA;Hu F;Zhu LJ;Bao HH;Cheng XS
肥胖是一种复杂的疾病，会影响身体的多个器官。然而，肥胖的潜在机制及其治疗方法在很大程度上尚未被探索。这项研究的重点是利用生物信息学来发现肥胖可能的治疗靶点。首先，使用GSE133099数据库鉴定364个差异表达基因（deg）。然后，对deg进行组织特异性分析和富集分析，随后创建蛋白质-蛋白质相互作用（PPI）网络并生成药物-基因相互作用数据库，以筛选关键基因和潜在的未来针对肥胖的药物。结果表明，神经系统标志物的组织特异性表达差异显著（34.7%,52/150）。其中，Lep、ApoE、Fyn和FN1是肥胖患者脂肪细胞样本中相对于对照组观察到的关键基因。此外，还筛选了针对关键基因的9种潜在治疗药物（达沙替尼、奥克里帕敏、利培酮、吉非齐齐、利托那韦、氟伐他汀、普伐他汀、华法林、阿托伐他汀）。结论发现的关键基因（Lep、ApoE、Fyn、FN1）及9种候选药物可作为治疗肥胖症的靶点。
Obesity is a complex medical condition that affects multiple organs in the body. However, the underlying mechanisms of obesity, as well as its treatment, are largely unexplored. The focus of this research was to use bioinformatics to discover possible treatment targets for obesity. To begin, the GSE133099 database was used to identify 364 differentially expressed genes (DEGs). Then, DEGs were subjected to tissue-specific analyses and enrichment analyses, followed by the creation of a protein-protein interaction (PPI) network and generation of a drug-gene interaction database to screen key genes and potential future drugs targeting obesity. Findings have illustrated that the tissue-specific expression of neurologic markers varied significantly (34.7%, 52/150). Among these genes, Lep, ApoE, Fyn, and FN1 were the key genes observed in the adipocyte samples from obese patients relative to the controls. Furthermore, nine potential therapeutic drugs (dasatinib, ocriplasmin, risperidone, gemfibrozil, ritonavir, fluvastatin, pravastatin, warfarin, atorvastatin) that target the key genes were also screened and selected. To conclude the key genes discovered (Lep, ApoE, Fyn, and FN1), as well as 9 candidate drugs, could be used as therapeutic targets in treating obesity.
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DOI：
10.4161/cc.28189
发表时间：
2014
期刊：
Cell cycle (Georgetown, Tex.)
影响因子：
--
作者：
Cheng Z;Almeida FA
通讯作者：
Almeida FA
影响因子：
29
作者：
Baker RG;Hayden MS;Ghosh S
通讯作者：
Ghosh S
影响因子：
9.7
作者：
Finkelstein, Eric A.;Trogdon, Justin G.;Dietz, William
通讯作者：
Dietz, William
影响因子：
9.8
作者：
Muenzberg, Heike;Morrison, Christopher D.
通讯作者：
Morrison, Christopher D.
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A