Bioinformatics screening of obesity ⁃ related gene Stambpl1 and preliminary study of its effects on lipid metabolism
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Key Laboratory of Rare Metabolic Disease,Department of Molecular Biology and Biochemistry,Nanjing MedicalUniversity,Jiangsu Provincial Key Laboratory of Molecular Targets and Intervention for Metabolic Diseases,Nanjing 211166 ,China

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R589.2

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    Abstract:

    Objective:Bioinformatics methods were used to screen obesity - related genes and preliminarily explore their effects on adipocyte lipid metabolism. Methods:We obtained the C57BL6/J mouse white adipose tissue(WAT)datasets GSE30247,GSE37218, and GSE138632 from the Gene Expression Omnibus(GEO). The transcriptome data of mice fed with a normal diet in GSE37218 and GSE30247 were set as the control group,and the transcriptome data of mice fed with a high-fat diet(HFD)were set as the experimental group. The NCBI official GEO2R tool was used to screen the differential genes of the two datasets after HFD,and P < 0.05,log2FC>1.5 were used as the screening criteria to obtain the common differential genes of the two datasets. Perform gene ontology(GO),mammalian phenotype ontology(MP),and human phenotype ontology(HPO)enrichment analysis on differentially expressed genes. Construct protein - protein interaction(PPI)networks using STRING database,screen and obtain hub genes using Cytoscape. The transcriptome data of mice fed with normal diet in the GSE138632 dataset were set as the control group,and the transcriptome data of mice fed with HFD were set as the experimental group for differential analysis. Gene predictive diagnostic analysis was performed using receiver operating characteristic(ROC)curve to further validate hub genes. Using lentivirus to construct a stable overexpressed 3T3-L1 cell line with STAM binding protein like 1(Stambpl1),oleic acid(OA)was used to induce lipid droplet accumulation in 3T3-L1 cells.;BODIPY staining and triglyceride(TG)content detection were used to determine lipid droplet accumulation. Results:After performing differential analysis on the GSE37218 and GSE30247 datasets,we found 57 genes were commonly upregulated in the epididymal white adipose tissue(eWAT)of mice fed withHFD compared to those fed with normal diet. Further analysis using multiple algorithms in Cytoscape identified 13 hub genes. The expression of these 13 hub genes was validated using the GSE138632 dataset, leading to the screening of Stambpl1. RT -PCR results showed that Stambpl1 was upregulated in the adipose tissue of HFD -induced obese mice. BODIPY staining and TG content assays revealed that overexpression of Stambpl1 in 3T3-L1 cells alleviated OA-induced lipid droplet accumulation. Conclusion:This study used bioinformatics to screen the obesity-related gene Stambpl1,and preliminarily confirmed that Stambpl1 inhibits lipid accumulation in adipocytes in vitro.

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REN Yu, LI Chaopu, ZHANG Xu, JI Xuetao, LI Zhong. Bioinformatics screening of obesity ⁃ related gene Stambpl1 and preliminary study of its effects on lipid metabolism[J].,2025,45(10):1417-1426.

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  • Received:May 15,2025
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  • Online: October 16,2025
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