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In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease

BACKGROUND: Peripheral arterial occlusive disease (PAOD) is a global public health concern that decreases the quality of life of the patients and can lead to disabilities and death. The aim of this study was to identify the genes and pathways associated with PAOD pathogenesis, and the potential ther...

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Autores principales: Guan, Xuwen, Yang, Xiaoyan, Wang, Chunming, Bi, Renbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250035/
https://www.ncbi.nlm.nih.gov/pubmed/32481342
http://dx.doi.org/10.1097/MD.0000000000020404
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author Guan, Xuwen
Yang, Xiaoyan
Wang, Chunming
Bi, Renbing
author_facet Guan, Xuwen
Yang, Xiaoyan
Wang, Chunming
Bi, Renbing
author_sort Guan, Xuwen
collection PubMed
description BACKGROUND: Peripheral arterial occlusive disease (PAOD) is a global public health concern that decreases the quality of life of the patients and can lead to disabilities and death. The aim of this study was to identify the genes and pathways associated with PAOD pathogenesis, and the potential therapeutic targets. METHODS: Differentially expressed genes (DEGs) and miRNAs related to PAOD were extracted from the GSE57691 dataset and through text mining. Additionally, bioinformatics analysis was applied to explore gene ontology, pathways and protein–protein interaction of those DEGs. The potential miRNAs targeting the DEGs and the transcription factors (TFs) regulating miRNAs were predicted by multiple different databases. RESULTS: A total of 59 DEGs were identified, which were significantly enriched in the inflammatory response, immune response, chemokine-mediated signaling pathway and JAK-STAT signaling pathway. Thirteen genes including IL6, CXCL12, IL1B, and STAT3 were hub genes in protein–protein interaction network. In addition, 513 miRNA-target gene pairs were identified, of which CXCL12 and PTPN11 were the potential targets of miRNA-143, and IL1B of miRNA-21. STAT3 was differentially expressed and regulated 27 potential target miRNAs including miRNA-143 and miRNA-21 in TF-miRNA regulatory network. CONCLUSION: In summary, inflammation, immune response and STAT3-mediated miRNA-target genes axis play an important role in PAOD development and progression.
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spelling pubmed-72500352020-06-15 In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease Guan, Xuwen Yang, Xiaoyan Wang, Chunming Bi, Renbing Medicine (Baltimore) 3400 BACKGROUND: Peripheral arterial occlusive disease (PAOD) is a global public health concern that decreases the quality of life of the patients and can lead to disabilities and death. The aim of this study was to identify the genes and pathways associated with PAOD pathogenesis, and the potential therapeutic targets. METHODS: Differentially expressed genes (DEGs) and miRNAs related to PAOD were extracted from the GSE57691 dataset and through text mining. Additionally, bioinformatics analysis was applied to explore gene ontology, pathways and protein–protein interaction of those DEGs. The potential miRNAs targeting the DEGs and the transcription factors (TFs) regulating miRNAs were predicted by multiple different databases. RESULTS: A total of 59 DEGs were identified, which were significantly enriched in the inflammatory response, immune response, chemokine-mediated signaling pathway and JAK-STAT signaling pathway. Thirteen genes including IL6, CXCL12, IL1B, and STAT3 were hub genes in protein–protein interaction network. In addition, 513 miRNA-target gene pairs were identified, of which CXCL12 and PTPN11 were the potential targets of miRNA-143, and IL1B of miRNA-21. STAT3 was differentially expressed and regulated 27 potential target miRNAs including miRNA-143 and miRNA-21 in TF-miRNA regulatory network. CONCLUSION: In summary, inflammation, immune response and STAT3-mediated miRNA-target genes axis play an important role in PAOD development and progression. Wolters Kluwer Health 2020-05-22 /pmc/articles/PMC7250035/ /pubmed/32481342 http://dx.doi.org/10.1097/MD.0000000000020404 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 3400
Guan, Xuwen
Yang, Xiaoyan
Wang, Chunming
Bi, Renbing
In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title_full In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title_fullStr In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title_full_unstemmed In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title_short In silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
title_sort in silico analysis of the molecular regulatory networks in peripheral arterial occlusive disease
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250035/
https://www.ncbi.nlm.nih.gov/pubmed/32481342
http://dx.doi.org/10.1097/MD.0000000000020404
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