{"title":"肥胖相关糖尿病内脏脂肪组织关键通路的基因组分析和鉴定","authors":"Yue Shi, Wentao Han, Huagen Wei, Siwei Zhou, Weizheng Kong, Li-ping Shi, Huiqun Wu","doi":"10.1145/3448748.3448757","DOIUrl":null,"url":null,"abstract":"Obesity increases the risk of diabetes; however, not everyone who is obese develops diabetes. In this study, the dataset GSE54350 was downloaded from the Gene Expression Omnibus database (GEO), including obese diabetic and non-diabetic samples as control. Differentially expressed genes (DEGs) between obese diabetic and non-diabetic samples were selected using GEO2R plugin. Gene ontology (GO) enrichment and protein-protein interaction (PPI) analysis of these DEGs were performed using Metascape. The results showed 1073 DEGs, including 496 up-regulated genes and 577 down-regulated genes. These DEGs were enriched in biological pathways involved in hemostasis, regulation of organelle assembly, apoptotic signaling, myeloid leukocyte activation, apoptosis, etc. We revealed that Caspase 3 (CASP3) and tissue inhibitor of metalloproteinase 3 (TIMP3) might serve as marker genes and potential therapeutic targets for obesity-related diabetes, which deserves further investigations for validation.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genome analysis and identification of key pathway in visceral adipose tissue from obesity-related diabetes\",\"authors\":\"Yue Shi, Wentao Han, Huagen Wei, Siwei Zhou, Weizheng Kong, Li-ping Shi, Huiqun Wu\",\"doi\":\"10.1145/3448748.3448757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Obesity increases the risk of diabetes; however, not everyone who is obese develops diabetes. In this study, the dataset GSE54350 was downloaded from the Gene Expression Omnibus database (GEO), including obese diabetic and non-diabetic samples as control. Differentially expressed genes (DEGs) between obese diabetic and non-diabetic samples were selected using GEO2R plugin. Gene ontology (GO) enrichment and protein-protein interaction (PPI) analysis of these DEGs were performed using Metascape. The results showed 1073 DEGs, including 496 up-regulated genes and 577 down-regulated genes. These DEGs were enriched in biological pathways involved in hemostasis, regulation of organelle assembly, apoptotic signaling, myeloid leukocyte activation, apoptosis, etc. We revealed that Caspase 3 (CASP3) and tissue inhibitor of metalloproteinase 3 (TIMP3) might serve as marker genes and potential therapeutic targets for obesity-related diabetes, which deserves further investigations for validation.\",\"PeriodicalId\":115821,\"journal\":{\"name\":\"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3448748.3448757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448748.3448757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
肥胖会增加患糖尿病的风险;然而,并不是每个肥胖的人都会患上糖尿病。本研究从基因表达综合数据库(Gene Expression Omnibus database, GEO)下载数据集GSE54350,包括肥胖糖尿病和非糖尿病样本作为对照。使用GEO2R插件选择肥胖糖尿病和非糖尿病样本之间的差异表达基因(DEGs)。基因本体(GO)富集和蛋白-蛋白相互作用(PPI)分析使用metscape。结果显示,共有1073个基因,其中上调基因496个,下调基因577个。这些deg在止血、细胞器组装调节、凋亡信号传导、髓系白细胞活化、细胞凋亡等生物学途径中富集。我们发现Caspase 3 (CASP3)和组织金属蛋白酶3抑制剂(TIMP3)可能是肥胖相关性糖尿病的标记基因和潜在的治疗靶点,值得进一步研究验证。
Genome analysis and identification of key pathway in visceral adipose tissue from obesity-related diabetes
Obesity increases the risk of diabetes; however, not everyone who is obese develops diabetes. In this study, the dataset GSE54350 was downloaded from the Gene Expression Omnibus database (GEO), including obese diabetic and non-diabetic samples as control. Differentially expressed genes (DEGs) between obese diabetic and non-diabetic samples were selected using GEO2R plugin. Gene ontology (GO) enrichment and protein-protein interaction (PPI) analysis of these DEGs were performed using Metascape. The results showed 1073 DEGs, including 496 up-regulated genes and 577 down-regulated genes. These DEGs were enriched in biological pathways involved in hemostasis, regulation of organelle assembly, apoptotic signaling, myeloid leukocyte activation, apoptosis, etc. We revealed that Caspase 3 (CASP3) and tissue inhibitor of metalloproteinase 3 (TIMP3) might serve as marker genes and potential therapeutic targets for obesity-related diabetes, which deserves further investigations for validation.