The objective of this research was to investigate whether or if there is a connection between genes associated with pyroptosis and novel approaches to the diagnosis and treatment of NASH. The mRNA expression patterns of the gene expression dataset GSE135251 integrated (GEO) database were analyzed, and a total of 60 genes related to scorch death were extracted and included in the PubMed database. Methods from the field of bioinformatics were utilized to investigate the degrees to which differentially expressed genes and pyroptosis-related genes differed between NASH patients and healthy controls. As a result of this, the Centre for Genetic Research has now come around to accepting enrichment and PPI interaction analyses. GSE89632 and NASH models were evaluated, trained, qualified, and validated by 18 of the links between the expression of hub genes. PLCG1 expression raised NASH in the progress of the disease. PLCG1 expression levels were then validated by Western Blot and qRT-PCR in FFA-induced HepG2 cells and mouse liver tissues. An analysis of mRNA expression of cleaved-caspase 3, GSDMD, and GSDME in NASH models. In addition, the PLCG1based diagnostic model successfully discriminated NASH from normal samples. Collectively, our results imply that PLCG1 is significantly associated with NASH and may be a biomarker for pyroptosis-related disease.
Keywords: Bioinformatic; GEO; NASH; Pyroptosis.
Copyright © 2023 Elsevier Inc. All rights reserved.