Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking

Qingfeiyin (QFY) is a common Chinese herbal formula for the treatment of acute lung injury (ALI). However, its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of QFY in ALI using network pharmacology and molecular docking. Active compou...

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Veröffentlicht in:Computers in biology and medicine 2022-06, Vol.145, p.105454-105454, Article 105454
Hauptverfasser: Wang, Ying, Yuan, Yuan, Wang, Wenting, He, Ying, Zhong, Hong, Zhou, Xiaoxia, Chen, Yong, Cai, Xin-Jun, Liu, Li-qin
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container_title Computers in biology and medicine
container_volume 145
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Yuan, Yuan
Wang, Wenting
He, Ying
Zhong, Hong
Zhou, Xiaoxia
Chen, Yong
Cai, Xin-Jun
Liu, Li-qin
description Qingfeiyin (QFY) is a common Chinese herbal formula for the treatment of acute lung injury (ALI). However, its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of QFY in ALI using network pharmacology and molecular docking. Active compounds and targets of QFY were obtained from TCMSP and TCMID. ALI-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, and TTD databases. A protein–protein interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein–compound complexes obtained by molecular docking. In total, 128 active compounds and 121 targets of QFY were identified. A topological analysis of the PPI network revealed 13 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of QFY are mediated by genes related to inflammation, apoptosis, and oxidative stress as well as the MAPK and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets. This study successfully predict the effective components and potential targets and pathways involved in the treatment of ALI for QFY. We provided a novel strategy for future research of molecular mechanisms of QFY in ALI treatment. Moreover, the potential active ingredients provide a reliable source for drug screening for ALI. •Qingfeiyin (QFY),a traditional Chinese herbal decoction, has shown significant clinical efficacy against acute lung injury (ALI).•We found that QFY works through the PI3K-Akt and MAPK signaling pathways in ALI treatment.•QFY interacts with targets related to inflammation, apoptosis, and oxidative stress.•The present study made a comprehensive analysis to elucidate the active ingredients and the mechanisms of action of QFY by a bioinformatics approach for the first time.
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However, its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of QFY in ALI using network pharmacology and molecular docking. Active compounds and targets of QFY were obtained from TCMSP and TCMID. ALI-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, and TTD databases. A protein–protein interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein–compound complexes obtained by molecular docking. In total, 128 active compounds and 121 targets of QFY were identified. A topological analysis of the PPI network revealed 13 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of QFY are mediated by genes related to inflammation, apoptosis, and oxidative stress as well as the MAPK and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets. This study successfully predict the effective components and potential targets and pathways involved in the treatment of ALI for QFY. We provided a novel strategy for future research of molecular mechanisms of QFY in ALI treatment. Moreover, the potential active ingredients provide a reliable source for drug screening for ALI. •Qingfeiyin (QFY),a traditional Chinese herbal decoction, has shown significant clinical efficacy against acute lung injury (ALI).•We found that QFY works through the PI3K-Akt and MAPK signaling pathways in ALI treatment.•QFY interacts with targets related to inflammation, apoptosis, and oxidative stress.•The present study made a comprehensive analysis to elucidate the active ingredients and the mechanisms of action of QFY by a bioinformatics approach for the first time.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2022.105454</identifier><identifier>PMID: 35367781</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>1-Phosphatidylinositol 3-kinase ; Acute lung injury ; AKT protein ; Apoptosis ; Bioavailability ; Chinese medicine ; Core protein ; Datasets ; Drug screening ; Gene expression ; GEO datasets ; Herbal medicine ; Hydrogenation ; Lungs ; MAP kinase ; Molecular docking ; Molecular dynamics ; Molecular modelling ; Network pharmacology ; Oxidative stress ; Permeability ; Pharmacology ; Proteins ; Qingfeiyin ; Simulation ; Software ; Tissue analysis ; Traditional Chinese medicine ; Visualization</subject><ispartof>Computers in biology and medicine, 2022-06, Vol.145, p.105454-105454, Article 105454</ispartof><rights>2022 The Authors</rights><rights>Copyright © 2022 The Authors. 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However, its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of QFY in ALI using network pharmacology and molecular docking. Active compounds and targets of QFY were obtained from TCMSP and TCMID. ALI-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, and TTD databases. A protein–protein interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein–compound complexes obtained by molecular docking. In total, 128 active compounds and 121 targets of QFY were identified. A topological analysis of the PPI network revealed 13 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of QFY are mediated by genes related to inflammation, apoptosis, and oxidative stress as well as the MAPK and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets. This study successfully predict the effective components and potential targets and pathways involved in the treatment of ALI for QFY. We provided a novel strategy for future research of molecular mechanisms of QFY in ALI treatment. Moreover, the potential active ingredients provide a reliable source for drug screening for ALI. •Qingfeiyin (QFY),a traditional Chinese herbal decoction, has shown significant clinical efficacy against acute lung injury (ALI).•We found that QFY works through the PI3K-Akt and MAPK signaling pathways in ALI treatment.•QFY interacts with targets related to inflammation, apoptosis, and oxidative stress.•The present study made a comprehensive analysis to elucidate the active ingredients and the mechanisms of action of QFY by a bioinformatics approach for the first time.</description><subject>1-Phosphatidylinositol 3-kinase</subject><subject>Acute lung injury</subject><subject>AKT protein</subject><subject>Apoptosis</subject><subject>Bioavailability</subject><subject>Chinese medicine</subject><subject>Core protein</subject><subject>Datasets</subject><subject>Drug screening</subject><subject>Gene expression</subject><subject>GEO datasets</subject><subject>Herbal medicine</subject><subject>Hydrogenation</subject><subject>Lungs</subject><subject>MAP kinase</subject><subject>Molecular docking</subject><subject>Molecular dynamics</subject><subject>Molecular modelling</subject><subject>Network pharmacology</subject><subject>Oxidative stress</subject><subject>Permeability</subject><subject>Pharmacology</subject><subject>Proteins</subject><subject>Qingfeiyin</subject><subject>Simulation</subject><subject>Software</subject><subject>Tissue analysis</subject><subject>Traditional Chinese medicine</subject><subject>Visualization</subject><issn>0010-4825</issn><issn>1879-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkV1rFTEQhoMo9lj9CxLwxgv3ONlN9uNSS61CpQh6HbLJpCfb3c2aZCvnt_hnzXJaBG-EDPmY550J8xJCGewZsPr9sNd-WnrnJzT7EsoyPwsu-BOyY23TFSAq_pTsABgUvC3FGXkR4wAAHCp4Ts4qUdVN07Id-f0V9UHNLk6RrrPBMB7dfEvTAbcIasE1OU3RWtQpUm_pt5y36DJG80oBVdoUSq8J6bjmo5uHNRxpryIa6md6dXlDjUr5muI7OmP65cMdXQ4qTEr70d8eqZoNnfyIeh1VoMbru1zzJXlm1Rjx1cN-Tn58uvx-8bm4vrn6cvHhutBclKkw1mBnsaqRKdHWzEDf5FkY4K0oOw0dQgOVNbzhrEJhRVM1RoFuS6X7UmN1Tt6e6i7B_1wxJjm5qHEc1Yx-jbKsed1xzoBn9M0_6ODXMOffZaquGHQ5MtWeKB18jAGtXIKbVDhKBnIzUA7yr4FyM1CeDMzS1w8N1n7LPQofHcvAxxOAeSL3DoOM2uGs0biQLZLGu_93-QP9XrQh</recordid><startdate>202206</startdate><enddate>202206</enddate><creator>Wang, Ying</creator><creator>Yuan, Yuan</creator><creator>Wang, Wenting</creator><creator>He, Ying</creator><creator>Zhong, Hong</creator><creator>Zhou, Xiaoxia</creator><creator>Chen, Yong</creator><creator>Cai, Xin-Jun</creator><creator>Liu, Li-qin</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202206</creationdate><title>Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking</title><author>Wang, Ying ; 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However, its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of QFY in ALI using network pharmacology and molecular docking. Active compounds and targets of QFY were obtained from TCMSP and TCMID. ALI-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, and TTD databases. A protein–protein interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein–compound complexes obtained by molecular docking. In total, 128 active compounds and 121 targets of QFY were identified. A topological analysis of the PPI network revealed 13 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of QFY are mediated by genes related to inflammation, apoptosis, and oxidative stress as well as the MAPK and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets. This study successfully predict the effective components and potential targets and pathways involved in the treatment of ALI for QFY. We provided a novel strategy for future research of molecular mechanisms of QFY in ALI treatment. Moreover, the potential active ingredients provide a reliable source for drug screening for ALI. •Qingfeiyin (QFY),a traditional Chinese herbal decoction, has shown significant clinical efficacy against acute lung injury (ALI).•We found that QFY works through the PI3K-Akt and MAPK signaling pathways in ALI treatment.•QFY interacts with targets related to inflammation, apoptosis, and oxidative stress.•The present study made a comprehensive analysis to elucidate the active ingredients and the mechanisms of action of QFY by a bioinformatics approach for the first time.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>35367781</pmid><doi>10.1016/j.compbiomed.2022.105454</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects 1-Phosphatidylinositol 3-kinase
Acute lung injury
AKT protein
Apoptosis
Bioavailability
Chinese medicine
Core protein
Datasets
Drug screening
Gene expression
GEO datasets
Herbal medicine
Hydrogenation
Lungs
MAP kinase
Molecular docking
Molecular dynamics
Molecular modelling
Network pharmacology
Oxidative stress
Permeability
Pharmacology
Proteins
Qingfeiyin
Simulation
Software
Tissue analysis
Traditional Chinese medicine
Visualization
title Mechanisms underlying the therapeutic effects of Qingfeiyin in treating acute lung injury based on GEO datasets, network pharmacology and molecular docking
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