纤维化
医学
肝星状细胞
肝纤维化
免疫印迹
癌症研究
蛋白质亚单位
分子生物学
基因
生物
内科学
生物化学
作者
Liu Shi,Gong Feng,Xueliang Yang,Yang Zhang,Yu Zhang,Jun Cheng,Shumei Lin
摘要
Abstract Background and Aim The condition of hepatic fibrosis is hazardous. Therefore, it is vital that we investigate the mechanism of hepatic fibrosis to provide new targets for treatment. Methods Preliminary screening and research was carried out based on our prior results and our speculated role of the particle with quaternary structure arrangement (PAQosome) in hepatic fibrosis. The experiments were conducted using LX‐2 or HepG2 cell lines by western blotting, quantitative real‐time polymerase chain reaction, luciferase assays, and co‐immunoprecipitation and were further validated in the Gene Expression Omnibus (GEO) database. Results We screened and proved that several subunits of the PAQosome regulate the development of liver fibrosis, including the asparagine synthetase domain‐containing 1 upstream open reading frame (ASDURF), prefoldin subunit 4 (PFDN4), prefoldin subunit 5 (PFDN5), unconventional prefoldin RNA polymerase II subunit 5 interactor (URI1), and ubiquitously expressed prefoldin‐like chaperone (UXT). ASDURF promotes hepatic fibrosis through the transforming growth factor‐β1 (TGFβ1)/Sekelsky mothers against decapentaplegic homologue 3 (Smad3) and NF‐κB signaling pathways. ASDURF regulates the expression of asparagine synthetase domain‐containing 1 (ASNSD1). PFDN4, PFDN5, URI1, and UXT regulate cell proliferation through the PI3K/AKT pathway, and thus regulate liver fibrosis. A hepatic fibrosis score ≥ F2 was selected as the diagnostic criteria for hepatic fibrosis in the GSE96971 database. The area under the receiver operating characteristic curve of PFDN4, PFDN5, UXT, and ASNSD1 were 0.862 (confidence interval [CI]: 0.6588–1.000), 0.538 (CI: 0.224–0.853), 0.708 (CI: 0.449–0.966), and 0.831 (CI: 0.638–1.000), respectively. Conclusions These findings demonstrate that the PAQosome is a brand new target for hepatic fibrosis therapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI