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Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve

BACKGROUND: He's Yangchao formula (HSYC) has been clinically proven to be effective in treating diminished ovarian reserve (DOR). However, the underlying molecular mechanisms of HSYC in DOR are unclear. OBJECTIVE: This study aims to predict the underlying mechanisms of He's Yangchao formul...

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Autores principales: Yang, Liuqing, Zhao, Ying, Xu, Hongbin, Ma, Yang, Wang, Lin, Ma, Jing, Zhang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192314/
https://www.ncbi.nlm.nih.gov/pubmed/35707481
http://dx.doi.org/10.1155/2022/8361808
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author Yang, Liuqing
Zhao, Ying
Xu, Hongbin
Ma, Yang
Wang, Lin
Ma, Jing
Zhang, Qin
author_facet Yang, Liuqing
Zhao, Ying
Xu, Hongbin
Ma, Yang
Wang, Lin
Ma, Jing
Zhang, Qin
author_sort Yang, Liuqing
collection PubMed
description BACKGROUND: He's Yangchao formula (HSYC) has been clinically proven to be effective in treating diminished ovarian reserve (DOR). However, the underlying molecular mechanisms of HSYC in DOR are unclear. OBJECTIVE: This study aims to predict the underlying mechanisms of He's Yangchao formula (HSYC) against DOR through network pharmacology strategies and verify in vivo. METHODS: Systematic network pharmacology was used to speculate the bioactive components, potential targets, and the underlying mechanism of HSYC in the treatment of DOR. Then, the CTX-induced DOR mouse model was established to verify the effect of HSYC against DOR and the possible molecular mechanisms as predicted in the network pharmacology approach. RESULTS: A total of 44 active components and 423 potential targets were obtained in HSYC. In addition, 91 targets of DOR were also screened. The identified hub genes were AKT1, ESR1, IL6, and P53. Further molecular docking showed that the four hub targets were well-bound with their corresponding compounds. In vivo experiments showed that HSYC could promote the recovery of the estrous cycle and increase the number of primordial, growing follicles and corpora lutea. Besides, The results of qRT-PCR showed HSYC could regulate the expression of AKT1, ESR1, P53, and IL6 in DOR mice. CONCLUSION: It was demonstrated that HSYC could increase ovarian reserves, and AKT1, ESR1, IL6, and P53 may play an essential role in this effect, which provided a new reference for the current lack of active interventions of DOR.
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spelling pubmed-91923142022-06-14 Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve Yang, Liuqing Zhao, Ying Xu, Hongbin Ma, Yang Wang, Lin Ma, Jing Zhang, Qin Evid Based Complement Alternat Med Research Article BACKGROUND: He's Yangchao formula (HSYC) has been clinically proven to be effective in treating diminished ovarian reserve (DOR). However, the underlying molecular mechanisms of HSYC in DOR are unclear. OBJECTIVE: This study aims to predict the underlying mechanisms of He's Yangchao formula (HSYC) against DOR through network pharmacology strategies and verify in vivo. METHODS: Systematic network pharmacology was used to speculate the bioactive components, potential targets, and the underlying mechanism of HSYC in the treatment of DOR. Then, the CTX-induced DOR mouse model was established to verify the effect of HSYC against DOR and the possible molecular mechanisms as predicted in the network pharmacology approach. RESULTS: A total of 44 active components and 423 potential targets were obtained in HSYC. In addition, 91 targets of DOR were also screened. The identified hub genes were AKT1, ESR1, IL6, and P53. Further molecular docking showed that the four hub targets were well-bound with their corresponding compounds. In vivo experiments showed that HSYC could promote the recovery of the estrous cycle and increase the number of primordial, growing follicles and corpora lutea. Besides, The results of qRT-PCR showed HSYC could regulate the expression of AKT1, ESR1, P53, and IL6 in DOR mice. CONCLUSION: It was demonstrated that HSYC could increase ovarian reserves, and AKT1, ESR1, IL6, and P53 may play an essential role in this effect, which provided a new reference for the current lack of active interventions of DOR. Hindawi 2022-06-06 /pmc/articles/PMC9192314/ /pubmed/35707481 http://dx.doi.org/10.1155/2022/8361808 Text en Copyright © 2022 Liuqing Yang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Liuqing
Zhao, Ying
Xu, Hongbin
Ma, Yang
Wang, Lin
Ma, Jing
Zhang, Qin
Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title_full Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title_fullStr Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title_full_unstemmed Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title_short Network Pharmacology-Based Prediction and Verification of the Potential Mechanisms of He's Yangchao Formula against Diminished Ovarian Reserve
title_sort network pharmacology-based prediction and verification of the potential mechanisms of he's yangchao formula against diminished ovarian reserve
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192314/
https://www.ncbi.nlm.nih.gov/pubmed/35707481
http://dx.doi.org/10.1155/2022/8361808
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