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自噬通过 TP53INP2 调控脂肪生成:来自计算机模拟和体外分析的见解。

Autophagic Regulation of Adipogenesis Through TP53INP2: Insights from In Silico and In Vitro Analysis.

机构信息

Structural Biology Lab, #412, Pearl Research Park, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

出版信息

Mol Biotechnol. 2024 May;66(5):1188-1205. doi: 10.1007/s12033-023-01020-6. Epub 2024 Jan 18.

Abstract

Obesity is an epidemic disease associated with multimorbidity resulting in higher mortality risk. The imbalance between energy storage and expenditure is the prime factor in the prognosis of the disease. Specifically, excessive lipid storage through adipogenesis leads to obesity. Adipogenesis is the process that converts preadipocytes into mature adipocytes by regulating major transcription factors like PPARγ and C/EBPα, contributes to lipid storage in adipose tissue. On the contrary, autophagy is a self-degradative process that maintains homeostasis in adipose tissue by regulating adipogenesis and lipolysis. TP53INP2 is a key player that regulates the autophagy process, and it negatively regulates adipogenesis and lipid storage. The gene expression profile GSE93637 was retrieved from the GEO database and analyzed using an integrated bioinformatics approach. The differentially expressed genes (DEGs) were analyzed using R-Bioconductor for TP53INP2 knockdown microarray dataset of 3T3L1 cells, and the DEGs were analyzed for the functional enrichment analysis. Further, the genes involved in the potential biological and molecular functions were evaluated for pathway enrichment analysis by KEGG (Kyoto Encyclopedia of Genes and Genomes). A total of 726 DEGs were found including 391 upregulated and 335 downregulated genes. Further, the functional and pathway enrichment analysis was employed to identify the highly interacting genes, and we identified a total of 56 genes that are highly interacting through a protein-protein interaction network. The DEGs mainly regulate the Peroxisome proliferator-activated receptor (PPAR) signaling pathway, lipolysis, and autophagy. Further, we investigated the associated Hub genes for enriched pathway genes and found the involvement of two autophagic genes ATG7 and sequestosome 1 (p62). In addition, in vitro studies of qRT-PCR (Quantitative real-time polymerase chain reaction) and Western blot analysis revealed that increased autophagy resulted in reduced lipid storage through down-regulation of the adipogenic gene. Moreover, increased expression of autophagic gene TP53INP2 and ATG7 facilitates the down-regulation of p62 and PPARγ gene resulting in lipolysis in mature adipocytes through autophagy. There is no specific treatment to reduce obesity other than a caloric diet and exercise. Hence, this study provides sufficient evidence to conclude that TP53INP2 negatively regulates adipogenesis and increases the degradation of lipids in mature adipocytes which is crucial for reducing obesity. Therefore, it is plausible to consider TP53INP2 as a promising therapeutic target for managing adipogenesis and obesity. However, further studies are necessary to validate their functional and molecular pathway analysis in the regulation of adipogenesis and obesity.

摘要

肥胖是一种与多种疾病相关的流行病,会导致更高的死亡率风险。能量储存和消耗之间的失衡是疾病预后的主要因素。具体来说,通过脂肪生成导致过多的脂质储存会导致肥胖。脂肪生成是通过调节主要转录因子如 PPARγ 和 C/EBPα 将前脂肪细胞转化为成熟脂肪细胞的过程,有助于脂肪组织中的脂质储存。相反,自噬是一种自我降解过程,通过调节脂肪生成和脂肪分解来维持脂肪组织的平衡。TP53INP2 是调节自噬过程的关键因子,它负向调节脂肪生成和脂质储存。从 GEO 数据库中检索到基因表达谱 GSE93637,并通过整合生物信息学方法进行分析。使用 R-Bioconductor 对 3T3L1 细胞的 TP53INP2 敲低微阵列数据集进行差异表达基因 (DEG) 分析,并对 DEG 进行功能富集分析。此外,通过京都基因与基因组百科全书 (Kyoto Encyclopedia of Genes and Genomes,KEGG) 对涉及潜在生物学和分子功能的基因进行通路富集分析。发现了总共 726 个差异表达基因,包括 391 个上调和 335 个下调基因。进一步的功能和通路富集分析用于识别高度相互作用的基因,我们通过蛋白质-蛋白质相互作用网络总共鉴定出 56 个高度相互作用的基因。DEG 主要调节过氧化物酶体增殖物激活受体 (PPAR) 信号通路、脂肪分解和自噬。此外,我们还研究了富集通路基因的相关 Hub 基因,发现两个自噬基因 ATG7 和自噬体相关蛋白 1 (p62) 的参与。此外,体外 qRT-PCR(定量实时聚合酶链反应)和 Western blot 分析的研究表明,增加自噬会通过下调脂肪生成基因导致脂质储存减少。此外,自噬基因 TP53INP2 和 ATG7 的表达增加有助于下调 p62 和 PPARγ 基因,从而通过自噬促进成熟脂肪细胞中的脂肪分解。除了热量饮食和运动之外,目前还没有专门的治疗方法来减轻肥胖。因此,本研究提供了充分的证据表明,TP53INP2 负向调节脂肪生成,并增加成熟脂肪细胞中脂质的降解,这对于减轻肥胖至关重要。因此,将 TP53INP2 视为管理脂肪生成和肥胖的有前途的治疗靶点是合理的。然而,仍需要进一步的研究来验证其在脂肪生成和肥胖调节中的功能和分子途径分析。

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