TLR2 and CASP7 as the biomarkers associated with non-alcoholic fatty liver disease and chronic kidney disease.

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) and chronic kidney disease (CKD) are both highly prevalent worldwide. Studies have confirmed the association between them, but the underlying pathophysiological mechanisms are not clear yet. This study aims to identify the genetic and molecular mechanisms influencing both diseases through a bioinformatics approach.

RESULTS

Fifty-four overlapping differentially expressed genes associated with NAFLD and CKD were obtained by analysis of microarray datasets GSE63067 and GSE66494 downloaded from Gene Expression Omnibus. Next, we performed Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. Nine hub genes were screened using protein-protein interaction network and Cytoscape software, including TLR2, ICAM1, RELB, BIRC3, HIF1A, RIPK2, CASP7, IFNGR1 and MAP2K4. The receiver operating characteristic curve results showed that all hub genes have good diagnostic values for patients with NAFLD and CKD. The mRNA expression of nine hub genes was detected in NAFLD and CKD animal models, and it was found that the expression of TLR2 and CASP7 was significantly increased in both disease models.

CONCLUSIONS

TLR2 and CASP7 can be used as biomarkers for both diseases. Our study provided new insights for identifying potential biomarkers and valuable therapeutic leads in NAFLD and CKD.