Cargando…

Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis

BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease that compromises the skin's barrier function and capacity to retain moisture. Cnidii Fructus (CF), the dried fruits of Cnidium monnieri, has long been used to treat atopic dermatitis (AD) in China. However, the anti-AD com...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Shakeel Ahmad, Wu, Ying, Li, Amy Sze-Man, Fu, Xiu-Qiong, Yu, Zhi-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580115/
https://www.ncbi.nlm.nih.gov/pubmed/36261841
http://dx.doi.org/10.1186/s12906-022-03734-7
_version_ 1784812324313366528
author Khan, Shakeel Ahmad
Wu, Ying
Li, Amy Sze-Man
Fu, Xiu-Qiong
Yu, Zhi-Ling
author_facet Khan, Shakeel Ahmad
Wu, Ying
Li, Amy Sze-Man
Fu, Xiu-Qiong
Yu, Zhi-Ling
author_sort Khan, Shakeel Ahmad
collection PubMed
description BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease that compromises the skin's barrier function and capacity to retain moisture. Cnidii Fructus (CF), the dried fruits of Cnidium monnieri, has long been used to treat atopic dermatitis (AD) in China. However, the anti-AD compounds and mechanisms of CF are not fully understood. In this study, we evaluated the active compounds and molecular targets of CF in treating AD. METHODS: The Traditional Chinese Medicine Systems Pharmacology database was used to acquire information regarding the compounds that occur in the herb. Targets of these compounds were predicted using the SwissTargetPrediction website tool. AD-related genes were collected from the GeneCards database. Gene ontology (GO) enrichment analysis and KEGG pathway analysis of proteins that are targeted by active compounds of CF and encoded by AD-related genes were performed using Database for Annotation, Visualization, and Integrated Discovery Bioinformatics Resources. A “compound-target” network was constructed and analyzed using Cytoscape Software. Molecular docking was performed using BIOVIA Discovery Studio Visualizer and AutoDock Vina. RESULTS: We identified 19 active compounds in CF, 532 potential targets for these compounds, and 1540 genes related to AD. Results of GO enrichment indicated that CF affects biological processes and molecular functions, such as inflammatory response and steroid hormone receptor activity, which may be associated with its anti-AD effects. KEGG pathway analyses showed that PI3K-Akt signaling, calcium signaling, Rap1 signaling, and cAMP signaling pathways are the main pathways involved in the anti-AD effects of CF. Molecular docking analyses revealed that the key active compounds in CF, such as (E)-2,3-bis(2-keto-7-methoxy-chromen-8-yl)acrolein, ar-curcumene, and diosmetin, can bind the main therapeutic targets AKT1, SRC, MAPK3, EGFR, CASP3, and PTGS2. CONCLUSIONS: Results of the present study establish a foundation for further investigation of the anti-AD compounds and mechanisms of CF and provide a basis for developing modern anti-AD agents based on compounds that occur in CF.
format Online
Article
Text
id pubmed-9580115
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-95801152022-10-20 Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis Khan, Shakeel Ahmad Wu, Ying Li, Amy Sze-Man Fu, Xiu-Qiong Yu, Zhi-Ling BMC Complement Med Ther Research BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease that compromises the skin's barrier function and capacity to retain moisture. Cnidii Fructus (CF), the dried fruits of Cnidium monnieri, has long been used to treat atopic dermatitis (AD) in China. However, the anti-AD compounds and mechanisms of CF are not fully understood. In this study, we evaluated the active compounds and molecular targets of CF in treating AD. METHODS: The Traditional Chinese Medicine Systems Pharmacology database was used to acquire information regarding the compounds that occur in the herb. Targets of these compounds were predicted using the SwissTargetPrediction website tool. AD-related genes were collected from the GeneCards database. Gene ontology (GO) enrichment analysis and KEGG pathway analysis of proteins that are targeted by active compounds of CF and encoded by AD-related genes were performed using Database for Annotation, Visualization, and Integrated Discovery Bioinformatics Resources. A “compound-target” network was constructed and analyzed using Cytoscape Software. Molecular docking was performed using BIOVIA Discovery Studio Visualizer and AutoDock Vina. RESULTS: We identified 19 active compounds in CF, 532 potential targets for these compounds, and 1540 genes related to AD. Results of GO enrichment indicated that CF affects biological processes and molecular functions, such as inflammatory response and steroid hormone receptor activity, which may be associated with its anti-AD effects. KEGG pathway analyses showed that PI3K-Akt signaling, calcium signaling, Rap1 signaling, and cAMP signaling pathways are the main pathways involved in the anti-AD effects of CF. Molecular docking analyses revealed that the key active compounds in CF, such as (E)-2,3-bis(2-keto-7-methoxy-chromen-8-yl)acrolein, ar-curcumene, and diosmetin, can bind the main therapeutic targets AKT1, SRC, MAPK3, EGFR, CASP3, and PTGS2. CONCLUSIONS: Results of the present study establish a foundation for further investigation of the anti-AD compounds and mechanisms of CF and provide a basis for developing modern anti-AD agents based on compounds that occur in CF. BioMed Central 2022-10-19 /pmc/articles/PMC9580115/ /pubmed/36261841 http://dx.doi.org/10.1186/s12906-022-03734-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Khan, Shakeel Ahmad
Wu, Ying
Li, Amy Sze-Man
Fu, Xiu-Qiong
Yu, Zhi-Ling
Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title_full Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title_fullStr Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title_full_unstemmed Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title_short Network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of Cnidii Fructus in treating atopic dermatitis
title_sort network pharmacology and molecular docking-based prediction of active compounds and mechanisms of action of cnidii fructus in treating atopic dermatitis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580115/
https://www.ncbi.nlm.nih.gov/pubmed/36261841
http://dx.doi.org/10.1186/s12906-022-03734-7
work_keys_str_mv AT khanshakeelahmad networkpharmacologyandmoleculardockingbasedpredictionofactivecompoundsandmechanismsofactionofcnidiifructusintreatingatopicdermatitis
AT wuying networkpharmacologyandmoleculardockingbasedpredictionofactivecompoundsandmechanismsofactionofcnidiifructusintreatingatopicdermatitis
AT liamyszeman networkpharmacologyandmoleculardockingbasedpredictionofactivecompoundsandmechanismsofactionofcnidiifructusintreatingatopicdermatitis
AT fuxiuqiong networkpharmacologyandmoleculardockingbasedpredictionofactivecompoundsandmechanismsofactionofcnidiifructusintreatingatopicdermatitis
AT yuzhiling networkpharmacologyandmoleculardockingbasedpredictionofactivecompoundsandmechanismsofactionofcnidiifructusintreatingatopicdermatitis