Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways
返回论文页
Full-length article|更新时间:2022-06-24
|
Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways
Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways
Genes & Diseases2022年9卷第2期
作者机构:
1. College of Medical Science, China Three Gorges University,Hubei,Yichang,PR China,443002
2. BGI Education Center, University of Chinese Academy of Sciences,Guangdong,Shenzhen,PR China,518083
3. Chumeiren Medical Cosmetic Clinic, WuJiaGang District,Hubei,Yichang,PR China,443002
Hao Yuan, Xuelian Wu, Xiaomin Wang, 等. Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways[J]. Genes & Diseases, 2022,9(2).
Hao Yuan, Xuelian Wu, Xiaomin Wang, et al. Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways[J]. Genes & Diseases, 2022,9(2).
Hao Yuan, Xuelian Wu, Xiaomin Wang, 等. Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways[J]. Genes & Diseases, 2022,9(2). DOI: 10.1016/j.gendis.2020.06.001.
Hao Yuan, Xuelian Wu, Xiaomin Wang, et al. Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways[J]. Genes & Diseases, 2022,9(2). DOI: 10.1016/j.gendis.2020.06.001.
Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways
摘要
Abstract
galus and Angelica decoction (A
&
A) has been clinically used as a classical traditional Chinese medicine (TCM) formula in China for many years for the treatment of kidney diseases
especially renal interstitial fibrosis (RIF). However
the mechanisms underlying the therapeutic effects of A
&
A on RIF remains poorly understood. In the present study
systematic network pharmacology and effective experimental verification were utilized for the first time to elucidate the pharmacological efficacy and potential mechanism. The outcomes indicated that 22 active components and 87 target genes of A
&
A were identified and cross-referenced with RIF-associated genes
contributing to confirmation of 74 target genes of A
&
A for RIF. Pathway and functional enrichment analyses revealed that A
&
A had substantial effects on MAPK
PI3K-Akt and TNF signaling pathways. In addition
seven core targets with relatively higher betweenness and degree were identified in the constructed Chinese medicine material-chemical component-target-signal pathway network. Moreover
we verified the potential therapeutic effect of A
&
A
in vivo
(using a mouse model of RIF)
confirming that A
&
A could effectively protect the kidney by regulating these target genes. The therapeutic effect of A
&
A on RIF could be attributed to its role in regulating the cell cycle
limiting the apoptosis
and inhibiting the inflammation.
关键词
Keywords
Active componentsAstragalus and angelica decoctionNetwork pharmacologyRenal interstitial fibrosisTarget gene
Exploring the mechanism of Yishen Daluo decoction in the treatment of multiple sclerosis based on network pharmacology and in vitro experiments
Pharmacodynamic evaluation of Cordyceps sinensis (Berk.) Sacc. for ischemic stroke in rats and potential mechanism through network pharmacology and molecular docking
Traditional Chinese medicine as supportive care for the management of liver cancer: Past, present, and future
相关作者
Qian Hua
Yan Tan
Xu Wang
Peng Wei
Zhaoheng Liu
Xinghua Wang
Qingyuan Cai
Ce Zhang
相关机构
School of Life Sciences & School of Traditional Chinese Medicine, Beijing University of Chinese Medicine
School of Biomedical Informatics, University of Texas Health Science Center at Houston
Department of Pathology, University of California San Diego, La Jolla
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine
School of Chinese Materia Medica, Beijing University of Chinese Medicine