Analysis of the different characteristics between omental preadipocytes and differentiated white adipocytes using bioinformatics methods.
Analysis of the different characteristics between omental preadipocytes and differentiated white adipocytes using bioinformatics methods.
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应用生物信息学方法分析大网膜前脂肪细胞与分化白色脂肪细胞的差异特征
DOI：
10.1080/21623945.2022.2063471
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发表时间：
2022-12
期刊：
影响因子：
3.3
通讯作者：
中科院分区：
文献类型：
--
作者：
肥胖正在成为一个流行病学问题，与各种代谢相关疾病的发病和进展有关。肥胖的特征是白色脂肪膨胀，其遭遇白色脂肪细胞肥大和增生。白色脂肪细胞增生定义为前脂肪细胞中白色脂肪细胞数量增加的脂肪形成。脂肪生成有助于将多余的甘油三酯分配到较小的新形成的脂肪细胞中，减少肥大脂肪细胞的数量并分泌抗炎因子。因此，脂肪形成正在成为治疗肥胖症的新的治疗靶点。为了更好地了解大网膜分化白色脂肪细胞的改变在系统性代谢紊乱中的作用，我们从GEO数据库GSE 1657中下载mRNA表达谱，筛选了未分化前脂肪细胞（UNDIF）和大网膜分化白色脂肪细胞（DIF）之间的328个差异表达基因（DEG）。分别通过基因本体（GO）分析、京都基因和基因组百科全书（KEGG）途径分析和蛋白质-蛋白质相互作用（PPI）网络来进行上调和下调的DEG对系统的贡献。通过基因集富集分析（Gene Set Enrichment Analysis，GSEA），特别是GO分析、KEGG分析、hallmark分析、致癌分析和相关miRNA分析，探讨了整个改变基因在分化的白色脂肪细胞中的潜在贡献。目前研究的结果将揭示治疗肥胖和肥胖相关疾病的新靶点。
Obesity is emerging as an epidemiological issue, being associated with the onset and progress of various metabolism-related disorders. Obesity is characterized by the white adipose expansion, which encounters white adipocyte hypertrophy and hyperplasia. White adipocyte hyperplasia is defined as adipogenesis with the increase in the number of the white adipocytes from the preadipocytes. Adipogenesis contributes to distributing excess triglycerides among the smaller newly formed adipocytes, reducing the number of hypertrophic adipocytes and secreting anti-inflammatory factor. Therefore, adipogenesis is emerging as a new therapeutic target for the treatment of obesity. In the present study, for a better understanding of the contribution of the alteration of the omental differentiated white adipocytes to the systemic metabolic disorders, we downloaded the mRNA expression profiles from GEO database GSE1657, 328 differentially expressed genes (DEGs) were screened between the undifferentiated preadipocytes (UNDIF) and omental differentiated white adipocytes (DIF). The contributions of the upregulated and downregulated DEGs to the system were performed via the Gene Ontology (GO) analysis, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Protein–Protein Interaction (PPI) network, respectively. The potential contribution of the whole altered genes in the differentiated white adipocytes was explored with the performance of Gene Set Enrichment Analysis (GSEA), especially on the GO analysis, KEGG analysis, hallmark analysis, oncogenic analysis and related miRNA analysis. The output of the current study will shed light on the new targets for the treatment of obesity and obesity-related disorders.
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影响因子：
5.2
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Kwon H;Pessin JE
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