Abstract
Obesity is an excess accumulation of body fat. Its progression rate has remained high in recent years. Therefore, the aim of this study was to diagnose important differentially expressed genes (DEGs) associated in its development, which may be used as novel biomarkers or potential therapeutic targets for obesity. The gene expression profile of E-MTAB-6728 was downloaded from the database. After screening DEGs in each ArrayExpress dataset, we further used the robust rank aggregation method to diagnose 876 significant DEGs including 438 up regulated and 438 down regulated genes. Functional enrichment analysis was performed. These DEGs were shown to be significantly enriched in different obesity related pathways and GO functions. Then protein–protein interaction network, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. The module analysis was performed based on the whole PPI network. We finally filtered out STAT3, CORO1C, SERPINH1, MVP, ITGB5, PCM1, SIRT1, EEF1G, PTEN and RPS2 hub genes. Hub genes were validated by ICH analysis, receiver operating curve (ROC) analysis and RT-PCR. Finally a molecular docking study was performed to find small drug molecules. The robust DEGs linked with the development of obesity were screened through the expression profile, and integrated bioinformatics analysis was conducted. Our study provides reliable molecular biomarkers for screening and diagnosis, prognosis as well as novel therapeutic targets for obesity.
Highlights
Obesity has long been part of the larger metabolic disorder and affects a large proportion of the global population in the Western World [1]
To preliminarily understand the mechanism contributing to the obesity, 24 patients [12 obesity persons and 12 lean persons] were selected for subsequent analysis
Validated by receiver operating curve (ROC) curves, we found that 10 hub genes had high sensitivity and specificity, including STAT3 (0.951), CORO1C (0.799), SERPINH1 (0.924), MVP (0.938), ITGB5 (0.938), PCM1 (0.826), SIRT1 (0.799), EEF1G (0.913), PTEN (0.833) and RPS2 (0.840) (Figure 12)
Summary
Obesity has long been part of the larger metabolic disorder and affects a large proportion of the global population in the Western World [1]. Obesity is diagnosed on the basis of body mass index [1]. Obesity occurs in children age between 5 to 19 years as well as more common in women than in men [2]. Countless surveys have proved that obesity is an key risk factor for heart. Identification of Key Genes in Obesity disease [3], hyperlipidaemia [4], hyperinsulinaemia [5], hypertension [6], atherosclerosis [7], insulin resistance [8] and cancer [9]. Important candidate genes and relevant signaling pathways linked with obesity remains largely unknown. Seek of an earlier diagnosis and better prognosis, deeper understanding of genetic and molecular mechanisms about obesity is necessary
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