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- Title
Astragalus Total Saponins Ameliorate Peritoneal Fibrosis by Promoting Mitochondrial Synthesis and Inhibiting Apoptosis.
- Authors
Li, Zheng-Hong; Xu, Rong; Shi, Jun; Yu, Man-Shu; Zhong, Yu; He, Wei-Ming; Cao, Li-Ping; Sheng, Mei-Xiao
- Abstract
Peritoneal fibrosis (PF) is a disease caused by prolonged exposure of the peritoneum to high levels of dialysis fluid. Astragalus total saponins (ATS) is a phytochemical naturally occurring in Radix Astragali that has anti-inflammatory and anti-oxidant properties. In this study, we constructed an in vivo model of PF using 4.25% glucose-containing administered intraperitoneally to rats and incubated peritoneal mesothelial cells (PMCs) with 4.25% glucose-containing peritoneal dialysis fluid to construct an in vitro model of PF. Furthermore, siRNA of PGC-1 α was used to inhibit the expression of PGC-1 α to further investigate the mechanism of the protective effect of ATS on PF. In both in vivo and in vitro models, ATS treatment showed a protective effect against PF, with ATS reducing the thickness of peritoneal tissues in PF rats, increasing the viability of PMCs, increasing the mitochondrial membrane potential and reducing apoptosis ratio. ATS treatment also reduced the expressions of peritoneal fibrosis markers (Smad2, p-Smad2 and α -SMA) and apoptosis markers (Caspase3, cleaved-Caspase3 and Bax) and restored the expressions of mitochondrial synthesis proteins (PGC-1 α , NRF1 and TFAM) in ATS-treated peritoneal tissues or PMCs. Furthermore, in the presence of PGC-1 α inhibition, the protective effect of ATS on PF was blocked. In conclusion, ATS treatment may be an effective therapeutic agent to inhibit high glucose-induced in peritoneal fibrosis through PGC-1 α -mediated apoptosis.
- Subjects
STATISTICS; PERITONEUM diseases; IN vivo studies; CELL culture; ANALYSIS of variance; ANIMAL experimentation; WESTERN immunoblotting; FIBROSIS; APOPTOSIS; PERITONEAL dialysis; MITOCHONDRIA; CELL survival; T-test (Statistics); DESCRIPTIVE statistics; RESEARCH funding; ASTRAGALUS (Plants); DATA analysis; DATA analysis software; MICE
- Publication
American Journal of Chinese Medicine, 2022, Vol 50, Issue 1, p261
- ISSN
0192-415X
- Publication type
Article
- DOI
10.1142/S0192415X22500094