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Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis
BACKGROUND: Neuropathic pain (NP) is often accompanied by sleep disorders, anxiety, depression and other complications, and the pathogenesis is still unclear. Some drugs can relieve patients’ pain, but the overall effect is not good. We screened for the key genes related to NP-induced depression bas...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843390/ https://www.ncbi.nlm.nih.gov/pubmed/36660683 http://dx.doi.org/10.21037/atm-22-5820 |
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author | Li, Ling Su, Hong Yang, Yang Yang, Pu Zhang, Xi Su, Shengyong |
author_facet | Li, Ling Su, Hong Yang, Yang Yang, Pu Zhang, Xi Su, Shengyong |
author_sort | Li, Ling |
collection | PubMed |
description | BACKGROUND: Neuropathic pain (NP) is often accompanied by sleep disorders, anxiety, depression and other complications, and the pathogenesis is still unclear. Some drugs can relieve patients’ pain, but the overall effect is not good. We screened for the key genes related to NP-induced depression based on bioinformatics. METHODS: The dataset of GSE92718 was obtained from the Gene Expression Omnibus database, data mining was conducted based on R language, the genes modules were screened by weighted correlation network analysis, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed, a protein-protein interaction (PPI) network was constructed in the STRING database, and hub genes were screened according to degree value. RESULTS: Seven modules were obtained and built to identify the relationships between the NP-induced depression and the modules, weighted gene co-expression network analysis (WGCNA) was used to identify gene modules closely related to the experimental group. The GO annotations of depression-related genes mainly enriched in protein polyubiquitination, regulation of chromosome organization, mitochondrial matrix, mitochondrial protein-containing complex, etc. KEGG enrichment analysis results were: Alzheimer’s disease, Huntington’s disease, ribosome, thermogenesis, prion disease, non-alcoholic fatty liver disease, diabetic cardiomyopathy, oxidative phosphorylation, retrograde endocannabinoid signaling, 2-oxocarboxylic acid metabolism. PPI network analysis showed that Polr2f, Rps13, Mrpl2, Mrpl40, Mrpl34, and Ndufs8 were more highly expressed in NP-induced depression. Functional analysis of key genes showed that these genes were related to mitochondrial translation termination, respiratory chain complex I, mitochondrial, mRNA Splicing (minor pathway), and of rRNA processing in the nucleolus and cytosol (major pathway). CONCLUSIONS: The key genes of depression induced by NP are Polr2f, Rps13, Mrpl2, Mrpl40, Mrpl34, and Ndufs8. |
format | Online Article Text |
id | pubmed-9843390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-98433902023-01-18 Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis Li, Ling Su, Hong Yang, Yang Yang, Pu Zhang, Xi Su, Shengyong Ann Transl Med Original Article BACKGROUND: Neuropathic pain (NP) is often accompanied by sleep disorders, anxiety, depression and other complications, and the pathogenesis is still unclear. Some drugs can relieve patients’ pain, but the overall effect is not good. We screened for the key genes related to NP-induced depression based on bioinformatics. METHODS: The dataset of GSE92718 was obtained from the Gene Expression Omnibus database, data mining was conducted based on R language, the genes modules were screened by weighted correlation network analysis, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed, a protein-protein interaction (PPI) network was constructed in the STRING database, and hub genes were screened according to degree value. RESULTS: Seven modules were obtained and built to identify the relationships between the NP-induced depression and the modules, weighted gene co-expression network analysis (WGCNA) was used to identify gene modules closely related to the experimental group. The GO annotations of depression-related genes mainly enriched in protein polyubiquitination, regulation of chromosome organization, mitochondrial matrix, mitochondrial protein-containing complex, etc. KEGG enrichment analysis results were: Alzheimer’s disease, Huntington’s disease, ribosome, thermogenesis, prion disease, non-alcoholic fatty liver disease, diabetic cardiomyopathy, oxidative phosphorylation, retrograde endocannabinoid signaling, 2-oxocarboxylic acid metabolism. PPI network analysis showed that Polr2f, Rps13, Mrpl2, Mrpl40, Mrpl34, and Ndufs8 were more highly expressed in NP-induced depression. Functional analysis of key genes showed that these genes were related to mitochondrial translation termination, respiratory chain complex I, mitochondrial, mRNA Splicing (minor pathway), and of rRNA processing in the nucleolus and cytosol (major pathway). CONCLUSIONS: The key genes of depression induced by NP are Polr2f, Rps13, Mrpl2, Mrpl40, Mrpl34, and Ndufs8. AME Publishing Company 2022-12 /pmc/articles/PMC9843390/ /pubmed/36660683 http://dx.doi.org/10.21037/atm-22-5820 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Li, Ling Su, Hong Yang, Yang Yang, Pu Zhang, Xi Su, Shengyong Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title | Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title_full | Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title_fullStr | Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title_full_unstemmed | Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title_short | Screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
title_sort | screening key genes related to neuropathic pain-induced depression through an integrative bioinformatics analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843390/ https://www.ncbi.nlm.nih.gov/pubmed/36660683 http://dx.doi.org/10.21037/atm-22-5820 |
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