Key result
LEPR, CXCL10, and FOXO1 were identified as characteristic target genes for nonalcoholic fatty liver disease via integrated bioinformatics analysis.
Why the study?
The study aimed to explore mechanisms underlying nonalcoholic fatty liver disease and develop new diagnostic biomarkers for nonalcoholic steatohepatitis.
Bioinformatics analysis identified LEPR, CXCL10, and FOXO1 as potential diagnostic biomarkers and key target genes for NAFLD.
May support NASH biomarker discovery from DERs; leaves open prospective validation before any clinical use.
Purpose This study aimed at exploring the mechanisms underlying nonalcoholic fatty liver disease (NAFLD) and developing new diagnostic biomarkers for nonalcoholic steatohepatitis (NASH). Methods The microarray dataset GES83452 was downloaded from the NCBI-GEO database, and the differentially expressed RNAs (DERs) were screened between the NAFLD and non-NAFLD samples of the baseline and 1-year follow-up time point group based on the Limma package. Results A total of 561 DERs (268 downregulated and 293 upregulated) were screened in the baseline time point group, and 1163 DERs (522 downregulated and 641 upregulated) were screened in the 1-year follow-up time point group. A total of 74 lncRNA–miRNA pairs and 523 miRNA–mRNA pairs were obtained in order to construct a lncRNA–miRNA–mRNA regulatory network. Subsequently, functional enrichment analysis revealed 28 GO and 9 KEGG pathways in the ceRNA regulatory network. LEPR and CXCL10 are involved in the Cytokine–cytokine receptor interaction ( P = 1.86E-02), and the FOXO1 is involved in both the insulin signaling pathway ( P = 1.79E-02) and the pathways in cancer ( P = 2.87E-02). Conclusion LEPR , CXCL10 , and FOXO1 were the characteristic target genes for NAFLD.
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Chen et al. (2022) studied Nonalcoholic fatty liver disease (NAFLD) (n=231). Nonalcoholic fatty liver disease vs. Non-NAFLD was evaluated on Differentially expressed RNAs (DERs) and key target genes. LEPR, CXCL10, and FOXO1 were identified as characteristic target genes for nonalcoholic fatty liver disease via integrated bioinformatics analysis.
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