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Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis

Anxiety disorder impacts the quality of life of the patients. The 95% ethanol extract of rhizomes and roots of Valeriana jatamansi Jones (Zhi zhu xiang, ZZX) has previously been shown to be effective for the treatment of anxiety disorder. In this study, the dose ratio of each component of the anxiol...

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Autores principales: Zhao, Chengbowen, Wei, Xiaojia, Guo, Jianyou, Ding, Yongsheng, Luo, Jing, Yang, Xue, Li, Jiayuan, Wan, Guohui, Yu, Jiahe, Shi, Jinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138999/
https://www.ncbi.nlm.nih.gov/pubmed/35624976
http://dx.doi.org/10.3390/brainsci12050589
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author Zhao, Chengbowen
Wei, Xiaojia
Guo, Jianyou
Ding, Yongsheng
Luo, Jing
Yang, Xue
Li, Jiayuan
Wan, Guohui
Yu, Jiahe
Shi, Jinli
author_facet Zhao, Chengbowen
Wei, Xiaojia
Guo, Jianyou
Ding, Yongsheng
Luo, Jing
Yang, Xue
Li, Jiayuan
Wan, Guohui
Yu, Jiahe
Shi, Jinli
author_sort Zhao, Chengbowen
collection PubMed
description Anxiety disorder impacts the quality of life of the patients. The 95% ethanol extract of rhizomes and roots of Valeriana jatamansi Jones (Zhi zhu xiang, ZZX) has previously been shown to be effective for the treatment of anxiety disorder. In this study, the dose ratio of each component of the anxiolytic compounds group (ACG) in a 95% ethanol extract of ZZX was optimized by a uniform design experiment and mathematical modeling. The anxiolytic effect of ACG was verified by behavioral experiments and biochemical index measurement. Network pharmacology was used to determine potential action targets, as well as predict biological processes and signaling pathways, which were then verified by molecular docking analysis. Metabolomics was then used to screen and analyze metabolites in the rat hippocampus before and after the administration of ZZX-ACG. Finally, the results of metabolomics and network pharmacology were integrated to clarify the anti-anxiety mechanism of the ACG. The optimal dose ratio of ACG in 95% ethanol extract of ZZX was obtained, and our results suggest that ACG may regulate ALB, AKT1, PTGS2, CYP3A4, ESR1, CASP3, CYP2B6, EGFR, SRC, MMP9, IGF1, and MAPK8, as well as the prolactin signaling pathway, estrogen signaling pathway, and arachidonic acid metabolism pathway, thus affecting the brain neurotransmitters and HPA axis hormone levels to play an anxiolytic role, directly or indirectly.
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spelling pubmed-91389992022-05-28 Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis Zhao, Chengbowen Wei, Xiaojia Guo, Jianyou Ding, Yongsheng Luo, Jing Yang, Xue Li, Jiayuan Wan, Guohui Yu, Jiahe Shi, Jinli Brain Sci Article Anxiety disorder impacts the quality of life of the patients. The 95% ethanol extract of rhizomes and roots of Valeriana jatamansi Jones (Zhi zhu xiang, ZZX) has previously been shown to be effective for the treatment of anxiety disorder. In this study, the dose ratio of each component of the anxiolytic compounds group (ACG) in a 95% ethanol extract of ZZX was optimized by a uniform design experiment and mathematical modeling. The anxiolytic effect of ACG was verified by behavioral experiments and biochemical index measurement. Network pharmacology was used to determine potential action targets, as well as predict biological processes and signaling pathways, which were then verified by molecular docking analysis. Metabolomics was then used to screen and analyze metabolites in the rat hippocampus before and after the administration of ZZX-ACG. Finally, the results of metabolomics and network pharmacology were integrated to clarify the anti-anxiety mechanism of the ACG. The optimal dose ratio of ACG in 95% ethanol extract of ZZX was obtained, and our results suggest that ACG may regulate ALB, AKT1, PTGS2, CYP3A4, ESR1, CASP3, CYP2B6, EGFR, SRC, MMP9, IGF1, and MAPK8, as well as the prolactin signaling pathway, estrogen signaling pathway, and arachidonic acid metabolism pathway, thus affecting the brain neurotransmitters and HPA axis hormone levels to play an anxiolytic role, directly or indirectly. MDPI 2022-04-30 /pmc/articles/PMC9138999/ /pubmed/35624976 http://dx.doi.org/10.3390/brainsci12050589 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Chengbowen
Wei, Xiaojia
Guo, Jianyou
Ding, Yongsheng
Luo, Jing
Yang, Xue
Li, Jiayuan
Wan, Guohui
Yu, Jiahe
Shi, Jinli
Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title_full Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title_fullStr Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title_full_unstemmed Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title_short Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis
title_sort dose optimization of anxiolytic compounds group in valeriana jatamansi jones and mechanism exploration by integrating network pharmacology and metabolomics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138999/
https://www.ncbi.nlm.nih.gov/pubmed/35624976
http://dx.doi.org/10.3390/brainsci12050589
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