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Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke

OBJECTIVE: This study aimed to evaluate the potential mechanism by which Monocyte locomotion inhibitory factor (MLIF) improves the outcome of ischemic stroke (IS) inflammatory injury. METHODS: Potential MLIF-related targets were predicted using Swiss TargetPrediction and PharmMapper, while IS-relate...

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Autores principales: Lv, Mengting, Zhu, Qiuzhen, Li, Xinyu, Deng, Shanshan, Guo, Yuchen, Mao, Junqing, Zhang, Yuefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715769/
https://www.ncbi.nlm.nih.gov/pubmed/36465453
http://dx.doi.org/10.3389/fcvm.2022.1071533
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author Lv, Mengting
Zhu, Qiuzhen
Li, Xinyu
Deng, Shanshan
Guo, Yuchen
Mao, Junqing
Zhang, Yuefan
author_facet Lv, Mengting
Zhu, Qiuzhen
Li, Xinyu
Deng, Shanshan
Guo, Yuchen
Mao, Junqing
Zhang, Yuefan
author_sort Lv, Mengting
collection PubMed
description OBJECTIVE: This study aimed to evaluate the potential mechanism by which Monocyte locomotion inhibitory factor (MLIF) improves the outcome of ischemic stroke (IS) inflammatory injury. METHODS: Potential MLIF-related targets were predicted using Swiss TargetPrediction and PharmMapper, while IS-related targets were found from GeneCards, PharmGKB, and Therapeutic Target Database (TTD). After obtaining the intersection from these two datasets, the Search Tool for Retrieval of Interacting Genes/Protein (STRING11.0) database was used to analyze the protein-protein interaction (PPI) network of the intersection and candidate genes for MLIF treatment of IS. The candidate genes were imported into the Metascape database for Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. The top 20 core genes and the “MLIF-target-pathway” network were mapped using the Cytoscape3.9.1. Using AutoDock Vina1.1.2, the molecular docking validation of the hub targets and MLIF was carried out. In the experimental part, transient middle cerebral artery occlusion (tMCAO) and oxygen and glucose deprivation (OGD) models were used to evaluate the protective efficacy of MLIF and the expression of inflammatory cytokines and the putative targets. RESULTS: MLIF was expected to have an effect on 370 targets. When these targets were intersected with 1,289 targets for ischemic stroke, 119 candidate therapeutic targets were found. The key enriched pathways were PI3K-Akt signaling pathway and MAPK signaling pathway, etc. The GO analysis yielded 1,677 GO entries (P < 0.01), such as hormone stimulation, inflammatory response, etc. The top 20 core genes included AKT1, EGFR, IGF1, MAPK1, MAPK10, MAPK14, etc. The result of molecular docking demonstrated that MLIF had the strong binding capability to JNK (MAPK10). The in vitro and in vivo studies also confirmed that MLIF protected against IS by lowering JNK (MAPK10) and AP-1 levels and decreasing pro-inflammatory cytokines (IL-1, IL-6). CONCLUSION: MLIF may exert a cerebral protective effect by inhibiting the inflammatory response through suppressing the JNK/AP-1 signaling pathway.
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spelling pubmed-97157692022-12-03 Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke Lv, Mengting Zhu, Qiuzhen Li, Xinyu Deng, Shanshan Guo, Yuchen Mao, Junqing Zhang, Yuefan Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: This study aimed to evaluate the potential mechanism by which Monocyte locomotion inhibitory factor (MLIF) improves the outcome of ischemic stroke (IS) inflammatory injury. METHODS: Potential MLIF-related targets were predicted using Swiss TargetPrediction and PharmMapper, while IS-related targets were found from GeneCards, PharmGKB, and Therapeutic Target Database (TTD). After obtaining the intersection from these two datasets, the Search Tool for Retrieval of Interacting Genes/Protein (STRING11.0) database was used to analyze the protein-protein interaction (PPI) network of the intersection and candidate genes for MLIF treatment of IS. The candidate genes were imported into the Metascape database for Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. The top 20 core genes and the “MLIF-target-pathway” network were mapped using the Cytoscape3.9.1. Using AutoDock Vina1.1.2, the molecular docking validation of the hub targets and MLIF was carried out. In the experimental part, transient middle cerebral artery occlusion (tMCAO) and oxygen and glucose deprivation (OGD) models were used to evaluate the protective efficacy of MLIF and the expression of inflammatory cytokines and the putative targets. RESULTS: MLIF was expected to have an effect on 370 targets. When these targets were intersected with 1,289 targets for ischemic stroke, 119 candidate therapeutic targets were found. The key enriched pathways were PI3K-Akt signaling pathway and MAPK signaling pathway, etc. The GO analysis yielded 1,677 GO entries (P < 0.01), such as hormone stimulation, inflammatory response, etc. The top 20 core genes included AKT1, EGFR, IGF1, MAPK1, MAPK10, MAPK14, etc. The result of molecular docking demonstrated that MLIF had the strong binding capability to JNK (MAPK10). The in vitro and in vivo studies also confirmed that MLIF protected against IS by lowering JNK (MAPK10) and AP-1 levels and decreasing pro-inflammatory cytokines (IL-1, IL-6). CONCLUSION: MLIF may exert a cerebral protective effect by inhibiting the inflammatory response through suppressing the JNK/AP-1 signaling pathway. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715769/ /pubmed/36465453 http://dx.doi.org/10.3389/fcvm.2022.1071533 Text en Copyright © 2022 Lv, Zhu, Li, Deng, Guo, Mao and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Lv, Mengting
Zhu, Qiuzhen
Li, Xinyu
Deng, Shanshan
Guo, Yuchen
Mao, Junqing
Zhang, Yuefan
Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title_full Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title_fullStr Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title_full_unstemmed Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title_short Network pharmacology and molecular docking-based analysis of protective mechanism of MLIF in ischemic stroke
title_sort network pharmacology and molecular docking-based analysis of protective mechanism of mlif in ischemic stroke
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715769/
https://www.ncbi.nlm.nih.gov/pubmed/36465453
http://dx.doi.org/10.3389/fcvm.2022.1071533
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