Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database.

Adipose differentiation and excessive lipid accumulation are the important characteristics of obesity. Metformin, as a classic hypoglycaemic drug, has been proved to reduce body weight in type 2 diabetes, the specific mechanism has not been completely clear. A few studies have explored its effect on adipogenesis in vitro, but the existing experimental results are ambiguous. 3T3-L1 preadipocytes were used to explore the effects of metformin on the morphological and physiological changes of lipid droplets during adipogenesis. A high throughput sequencing was used to examine the effects of metformin on the transcriptome of adipogenesis. Considering the inevitable errors among independent experiments, we performed integrated bioinformatics analysis to identify important genes involved in adipogenesis and reveal potential molecular mechanisms. During the process of adipogenesis, metformin visibly relieved the morphological and functional changes. In addition, metformin reverses the expression pattern of genes related to adipogenesis at the transcriptome level. Combining with integrated bioinformatics analyses to further identify the potential targeted genes regulated by metformin during adipogenesis. The present study identified novel changes in the transcriptome of metformin in the process of adipogenesis that might shed light on the underlying mechanism by which metformin impedes the progression of obesity.

Citation

Zhicong Zhao, Chenxi Wang, Jue Jia, Zhaoxiang Wang, Lian Li, Xia Deng, Zhensheng Cai, Ling Yang, Dong Wang, Suxian Ma, Li Zhao, Zhigang Tu, Guoyue Yuan. Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database. Adipocyte. 2022 Dec;11(1):56-68

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PMID: 34974794

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