Literature DB >> 31787729

To elucidate the inhibition of excessive autophagy of Rhodiola crenulata on exhaustive exercise-induced skeletal muscle injury by combined network pharmacology and molecular docking.

Xuanhao Li1, Ya Hou1, Xiaobo Wang1, Ying Zhang1, Xianli Meng1, Yao Hu2, Yi Zhang1.   

Abstract

Autophagy can remodel skeletal muscle in response to exercise. However, excessive autophagy can have adverse effects on skeletal muscle. Although Rhodiola crenulata (R. crenulata) is thought to regulate autophagy, its active ingredients and mechanisms of action remain unclear. In this study, molecular docking and network pharmacology were used to screen for autophagy-related targets of R. crenulata. Subsequently, protein-protein interaction (PPI) analysis was used to find the relationships between the inverse docking targets and autophagy-related targets and therefore highlight the key targets. And then the DAVID database was recruited to explain the functions and enrichment pathways of the target proteins. Finally, the potential targets were validated by immunohistochemistry of a mouse model of exhaustive exercise-induced skeletal muscle injury. We found a network of 15 major constituents of R. crenulata with 30 autophagy-related and 105 inverse-docking targets by molecular docking and network pharmacology. The results of PPI analysis indicated that 16 inverse-docking targets interacted 8 autophagy-related proteins. Further pathway analysis showed that R. crenulata could regulate exercise-induced skeletal muscle autophagy through mTOR, AMPK and FoxO. The results of our animal experiments indicated that R. crenulata could suppress the expression of ATG12, BECN1 and ULK1, while increasing the expression of MTOR, SIRT1 and MAPT. In conclusion, this study demonstrated that R. crenulata may protect skeletal muscle injury induced by exhaustive exercise via regulating the mTOR, AMPK, and FoxO singling pathway.

Entities:  

Keywords:  Rhodiola crenulata; autophagy; immunohistochemistry; molecular docking; network pharmacology

Year:  2019        PMID: 31787729     DOI: 10.1248/bpb.b19-00627

Source DB:  PubMed          Journal:  Biol Pharm Bull        ISSN: 0918-6158            Impact factor:   2.233


  6 in total

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Authors:  Jinsong Su; Zixuan Liu; Chuan Liu; Xuanhao Li; Yi Wang; Jing Zhao; Qingjiang Wu; Shichao Zheng; Yi Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2020-08-05       Impact factor: 2.629

2.  Analysis of DNA methylation profiles during sheep skeletal muscle development using whole-genome bisulfite sequencing.

Authors:  Yixuan Fan; Yaxu Liang; Kaiping Deng; Zhen Zhang; Guomin Zhang; Yanli Zhang; Feng Wang
Journal:  BMC Genomics       Date:  2020-04-29       Impact factor: 3.969

3.  A Novel Cryptococcal Meningitis Therapy: The Combination of Amphotericin B and Posaconazole Promotes the Distribution of Amphotericin B in the Brain Tissue.

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Journal:  Biomed Res Int       Date:  2020-11-29       Impact factor: 3.411

4.  Elucidating the material basis and potential mechanisms of Ershiwuwei Lvxue Pill acting on rheumatoid arthritis by UPLC-Q-TOF/MS and network pharmacology.

Authors:  Chuan Liu; Fangfang Fan; Lu Zhong; Jinsong Su; Yi Zhang; Ya Tu
Journal:  PLoS One       Date:  2022-02-07       Impact factor: 3.240

5.  Deciphering the potential anti-COVID-19 active ingredients in Andrographis paniculata (Burm. F.) Nees by combination of network pharmacology, molecular docking, and molecular dynamics.

Authors:  Rongfang Xie; Zuan Lin; Chenhui Zhong; Shaoguang Li; Bing Chen; Youjia Wu; Liying Huang; Hong Yao; Peiying Shi; Jianyong Huang
Journal:  RSC Adv       Date:  2021-11-11       Impact factor: 4.036

6.  An Integrated Analysis of Network Pharmacology and Experimental Validation to Reveal the Mechanism of Chinese Medicine Formula Naotaifang in Treating Cerebral Ischemia-Reperfusion Injury.

Authors:  Tong Yang; Xiangyu Chen; Zhigang Mei; Xiaolu Liu; Zhitao Feng; Jun Liao; Yihui Deng; Jinwen Ge
Journal:  Drug Des Devel Ther       Date:  2021-09-07       Impact factor: 4.162

  6 in total

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