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肥胖患者脂肪组织中关键基因的鉴定及其与免疫浸润的关系:生物信息学分析。

Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis.

机构信息

National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.

出版信息

Adipocyte. 2022 Dec;11(1):401-412. doi: 10.1080/21623945.2022.2104512.

Abstract

Immune cell-mediated adipose tissue (AT) inflammation contributes to obesity-related metabolic disorders, but the precise underlying mechanisms remain largely elusive. In this study, we used the R software to screen key differentially expressed genes (DEGs) in AT from lean and obese individuals and conducted function enrichment analysis. We then analysed their PPI network by using the STRING database. Hub genes were screened by cytohubba plugin. Subsequently, CIBERSORTx was used to predict the proportion of immune cells in AT from lean and obese subjects. Finally, the correlation between hub genes and immune cell proportions was analysed. These studies identified 290 DEGs in the AT between lean and obese subjects. Among them, , and were proved to be hub genes in regulating the protein-protein interaction (PPI) network. We also found that is positively correlated with resting NK cells, monocytes, activated mast cells, and eosinophils, but negatively correlated with CD8 T cells and activated NK cells in obese individuals. Taken together, our study identified key genes in AT that are correlated with immune cell infiltration, uncovering potential new targets for the prevention and treatment of obesity and its related complications via regulating the immune microenvironment.

摘要

免疫细胞介导的脂肪组织 (AT) 炎症导致与肥胖相关的代谢紊乱,但确切的潜在机制在很大程度上仍难以捉摸。在这项研究中,我们使用 R 软件筛选来自瘦人和肥胖个体的 AT 中的关键差异表达基因 (DEG),并进行功能富集分析。然后,我们使用 STRING 数据库分析它们的 PPI 网络。通过 cytohubba 插件筛选枢纽基因。随后,使用 CIBERSORTx 预测瘦人和肥胖受试者 AT 中的免疫细胞比例。最后,分析枢纽基因与免疫细胞比例之间的相关性。这些研究在瘦人和肥胖受试者的 AT 中鉴定出 290 个 DEG。其中,、和 被证明是调节蛋白质-蛋白质相互作用 (PPI) 网络的枢纽基因。我们还发现,在肥胖个体中,与静止 NK 细胞、单核细胞、活化肥大细胞和嗜酸性粒细胞呈正相关,与 CD8 T 细胞和活化 NK 细胞呈负相关。总之,我们的研究鉴定出与免疫细胞浸润相关的 AT 中的关键基因,为通过调节免疫微环境预防和治疗肥胖及其相关并发症提供了新的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ce8/9336476/9022035d90c1/KADI_A_2104512_F0001_OC.jpg

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