Tao Sun, Xiuzhi Zhang, Xianghua Liu, Xiaoying Li, Saifei Li, Shanfa Yu, Zhefeng Xiao* and Ningning Li*,
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引用次数: 0
Abstract
Liver fibrosis is a global health issue with limited treatments. While apigenin has demonstrated potential in alleviating liver fibrosis, its mechanisms remain unclear. This study employed an integrated proteotranscriptomic approach to elucidate the molecular mechanisms underlying apigenin’s protective effects against CCl4-induced liver fibrosis. Liver tissues from mice with CCl4-induced fibrosis treated with different doses of apigenin (10, 20, and 40 mg/kg) were analyzed using transcriptomics and proteomics. Results demonstrated dose-dependent antifibrotic effects of apigenin. Notably, numerous genes and proteins were inversely regulated by CCl4 and apigenin, with generally low and variable mRNA-protein abundance correlations. We identified 82 biological processes or molecular functions that were inversely regulated by CCl4 and high-dose apigenin at both mRNA and protein levels. Among the 48 key proteins (KPs) involved, 11 and 14 KPs correlated with liver fibrosis in mouse and human data sets, respectively. Six KPs maintained consistent correlations with fibrosis severity across both species, highlighting their potential as both biomarkers for fibrosis progression and translational targets. These findings underscore apigenin’s therapeutic potential and emphasize the importance of multiomics approaches in understanding complex diseases like liver fibrosis. This study also provides valuable insights for developing improved therapeutic strategies and diagnostic tools for liver fibrosis.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".