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Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation

Chung-Sang-Bo-Ha-Hwan (CSBHH) is an herbal prescription widely used to treat various chronic respiratory diseases. To investigate the system-level treatment mechanisms of CSBHH in respiratory tract diseases, we identified 56 active ingredients of CSBHH and evaluated the degree of overlap between the...

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Autores principales: Park, Sa-Yoon, Kim, Kang-Sub, Lee, Won-Yung, Kim, Chang-Eop, Lee, Sullim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489874/
https://www.ncbi.nlm.nih.gov/pubmed/37687271
http://dx.doi.org/10.3390/plants12173024
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author Park, Sa-Yoon
Kim, Kang-Sub
Lee, Won-Yung
Kim, Chang-Eop
Lee, Sullim
author_facet Park, Sa-Yoon
Kim, Kang-Sub
Lee, Won-Yung
Kim, Chang-Eop
Lee, Sullim
author_sort Park, Sa-Yoon
collection PubMed
description Chung-Sang-Bo-Ha-Hwan (CSBHH) is an herbal prescription widely used to treat various chronic respiratory diseases. To investigate the system-level treatment mechanisms of CSBHH in respiratory tract diseases, we identified 56 active ingredients of CSBHH and evaluated the degree of overlap between their targets and respiratory tract disease-associated proteins. We then investigated the respiratory tract disease-related signaling pathways associated with CSBHH targets. Enrichment analysis showed that the CSBHH targets were significantly associated with various signaling pathways related to inflammation, alveolar structure, and tissue fibrosis. Experimental validation was conducted using phorbol-12-myristate-13-acetate (PMA)-stimulated NCI-H292 cells by analyzing the mRNA expression levels of biomarkers (IL-1β and TNF-α for inflammation; GSTP1, GSTM1, and PTEN for apoptosis) derived from network pharmacological analysis, in addition to the mucin genes MUC5AC and MUC2, to investigate the phlegm-expelling effect of CSBHH. The mRNA expression levels of these genes were consistent with network pharmacological predictions in a concentration-dependent manner. These results suggest that the therapeutic mechanisms of CSBHH in respiratory tract diseases could be attributed to the simultaneous action of multiple active ingredients in the herbal prescription.
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spelling pubmed-104898742023-09-09 Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation Park, Sa-Yoon Kim, Kang-Sub Lee, Won-Yung Kim, Chang-Eop Lee, Sullim Plants (Basel) Article Chung-Sang-Bo-Ha-Hwan (CSBHH) is an herbal prescription widely used to treat various chronic respiratory diseases. To investigate the system-level treatment mechanisms of CSBHH in respiratory tract diseases, we identified 56 active ingredients of CSBHH and evaluated the degree of overlap between their targets and respiratory tract disease-associated proteins. We then investigated the respiratory tract disease-related signaling pathways associated with CSBHH targets. Enrichment analysis showed that the CSBHH targets were significantly associated with various signaling pathways related to inflammation, alveolar structure, and tissue fibrosis. Experimental validation was conducted using phorbol-12-myristate-13-acetate (PMA)-stimulated NCI-H292 cells by analyzing the mRNA expression levels of biomarkers (IL-1β and TNF-α for inflammation; GSTP1, GSTM1, and PTEN for apoptosis) derived from network pharmacological analysis, in addition to the mucin genes MUC5AC and MUC2, to investigate the phlegm-expelling effect of CSBHH. The mRNA expression levels of these genes were consistent with network pharmacological predictions in a concentration-dependent manner. These results suggest that the therapeutic mechanisms of CSBHH in respiratory tract diseases could be attributed to the simultaneous action of multiple active ingredients in the herbal prescription. MDPI 2023-08-22 /pmc/articles/PMC10489874/ /pubmed/37687271 http://dx.doi.org/10.3390/plants12173024 Text en © 2023 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
Park, Sa-Yoon
Kim, Kang-Sub
Lee, Won-Yung
Kim, Chang-Eop
Lee, Sullim
Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title_full Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title_fullStr Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title_full_unstemmed Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title_short Integrative Approach to Identifying System-Level Mechanisms of Chung-Sang-Bo-Ha-Hwan’s Influence on Respiratory Tract Diseases: A Network Pharmacological Analysis with Experimental Validation
title_sort integrative approach to identifying system-level mechanisms of chung-sang-bo-ha-hwan’s influence on respiratory tract diseases: a network pharmacological analysis with experimental validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489874/
https://www.ncbi.nlm.nih.gov/pubmed/37687271
http://dx.doi.org/10.3390/plants12173024
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