Integrative bioinformatics analysis to screen key genes and signalling pathways related to ferroptosis in obesity.

IF 3.5 4区 生物学 Q2 ENDOCRINOLOGY & METABOLISM Adipocyte Pub Date : 2023-12-01 Epub Date: 2023-10-25 DOI:10.1080/21623945.2023.2264442
Ming-Ke Li, Chang Xing, Lan-Qing Ma
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Abstract

Ferroptosis is closely associated with the development of disease in the body. However, there are few studies on ferroptosis-related genes (FRGs) in obesity. Therefore, key genes and signalling pathways related to ferroptosis in obesity were screened. Briefly, the RNA sequencing data of obesity and the non-obesity human samples and 259 FRGs were downloaded from GEO database and FerrDb database, respectively. The obesity-related module genes were firstly screened by weighted gene co-expression network analysis (WGCNA) and crossed with differentially expressed genes (DEGs) of obesity/normal samples and FRGs to obtain obesity-ferroptosis related (OFR) DEGs. Then, key genes were screened by PPI network. Next, the correlation of key genes and differential immune cells between obesity and normal samples were further explored by immune infiltration analysis. Finally, microRNA (miRNA)-messenger RNA (mRNA), transcription factor (TF)-mRNA networks and drug-gene interaction networks were constructed. As a result, 17 OFR DEGs were obtained, which mainly participated in processes such as lipid metabolism or adipocyte differentiation. The 4 key genes, STAT3, IL-6, PTGS2, and VEGFA, constituted the network. M2 macrophages, T cells CD8, mast cells activated, and T cells CD4 memory resting had significant differences between obesity and normal samples. Moreover, 51 miRNAs and 164 drugs were predicted for 4 key genes. All in all, this study has screened 4 FRGs, including IL-6, VEGFA, STAT3, and PTGS2, in obesity patients.

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综合生物信息学分析,筛选与肥胖脱铁症相关的关键基因和信号通路。
脱铁症与体内疾病的发展密切相关。然而,很少有关于肥胖中脱铁相关基因(FRG)的研究。因此,筛选了与肥胖患者脱铁性贫血相关的关键基因和信号通路。简言之,肥胖和非肥胖人类样本的RNA测序数据以及259个FRG分别从GEO数据库和FerrDb数据库下载。首先通过加权基因共表达网络分析(WGCNA)筛选肥胖相关模块基因,并与肥胖/正常样本的差异表达基因(DEG)和FRG杂交,获得肥胖脱铁相关(OFR)DEG。然后通过PPI网络对关键基因进行筛选。接下来,通过免疫浸润分析进一步探讨肥胖与正常样本之间关键基因和差异免疫细胞的相关性。最后构建了微RNA(miRNA)-信使RNA(mRNA)、转录因子(TF)-信使核糖核酸网络和药物-基因相互作用网络。结果,获得了17个OFR-DEG,它们主要参与脂质代谢或脂肪细胞分化等过程。STAT3、IL-6、PTGS2和VEGFA这4个关键基因构成了该网络。M2巨噬细胞、T细胞CD8、肥大细胞活化和T细胞CD4记忆静息在肥胖和正常样本之间具有显著差异。此外,对4个关键基因预测了51个miRNA和164种药物。总之,本研究在肥胖患者中筛选了4种FRG,包括IL-6、VEGFA、STAT3和PTGS2。
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来源期刊
Adipocyte
Adipocyte Medicine-Histology
CiteScore
6.50
自引率
3.00%
发文量
46
审稿时长
32 weeks
期刊介绍: Adipocyte recognizes that the adipose tissue is the largest endocrine organ in the body, and explores the link between dysfunctional adipose tissue and the growing number of chronic diseases including diabetes, hypertension, cardiovascular disease and cancer. Historically, the primary function of the adipose tissue was limited to energy storage and thermoregulation. However, a plethora of research over the past 3 decades has recognized the dynamic role of the adipose tissue and its contribution to a variety of physiological processes including reproduction, angiogenesis, apoptosis, inflammation, blood pressure, coagulation, fibrinolysis, immunity and general metabolic homeostasis. The field of Adipose Tissue research has grown tremendously, and Adipocyte is the first international peer-reviewed journal of its kind providing a multi-disciplinary forum for research focusing exclusively on all aspects of adipose tissue physiology and pathophysiology. Adipocyte accepts high-profile submissions in basic, translational and clinical research.
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