Cargando…
Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA)
BACKGROUND: Increasing evidence has suggested that obesity affects the occurrence and progression of osteoarthritis (OA). However, the underlying molecular mechanism that obesity affects the course of OA is not fully understood and remains to be studied. METHODS: The gene expression profiles of the...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293492/ https://www.ncbi.nlm.nih.gov/pubmed/35860189 http://dx.doi.org/10.1155/2022/8953807 |
_version_ | 1784749645215301632 |
---|---|
author | Zhou, Quan Sun, Huan Jia, Jin Jiang, Jun-liang Li, Tao Wu, Zhao-xiang Chen, Zhong |
author_facet | Zhou, Quan Sun, Huan Jia, Jin Jiang, Jun-liang Li, Tao Wu, Zhao-xiang Chen, Zhong |
author_sort | Zhou, Quan |
collection | PubMed |
description | BACKGROUND: Increasing evidence has suggested that obesity affects the occurrence and progression of osteoarthritis (OA). However, the underlying molecular mechanism that obesity affects the course of OA is not fully understood and remains to be studied. METHODS: The gene expression profiles of the GSE117999 and GSE98460 datasets were derived from the Gene Expression Omnibus (GEO) database. Firstly, we explored the correlation between obesity and OA using chi-square test. Next, weighted gene coexpression network analysis (WGCNA) was executed to identify obesity patients with OA- (obesity OA-) related genes in the GSE117999 dataset by “WGCNA” package. Moreover, differential expression analysis was performed to select the hub genes by “limma” package. Furthermore, ingenuity pathway analysis (IPA) and functional enrichment analysis (“clusterProfiler” package) were conducted to investigate the functions of genes. Finally, the regulatory networks of hub genes and protein-protein interaction (PPI) network were created by the Cytoscape 3.5.1 software and STRING. RESULTS: A total of 15 differentially expressed obesity OA-related genes, including 9 lncRNAs and 6 protein coding genes, were detected by overlapping 66 differentially expressed genes (DEGs) between normal BMI samples and obesity OA samples and 451 obesity OA-related genes. Moreover, CCR10, LENG8, QRFPR, UHRF1BP1, and HLA-DRB4 were identified as hub genes. IPA results indicated that the hub genes were noticeably enriched in antimicrobial response, inflammatory response, and humoral immune response. PPI network showed that CCR10 interacted more with other proteins. Gene set enrichment analysis (GSEA) indicated that the hub genes were related to protein translation, cancer, chromatin modification, antigen processing, and presentation. CONCLUSION: Our results further demonstrated the role of obesity in OA and might provide new targets for the treatment of obesity OA. |
format | Online Article Text |
id | pubmed-9293492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92934922022-07-19 Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) Zhou, Quan Sun, Huan Jia, Jin Jiang, Jun-liang Li, Tao Wu, Zhao-xiang Chen, Zhong Comput Math Methods Med Research Article BACKGROUND: Increasing evidence has suggested that obesity affects the occurrence and progression of osteoarthritis (OA). However, the underlying molecular mechanism that obesity affects the course of OA is not fully understood and remains to be studied. METHODS: The gene expression profiles of the GSE117999 and GSE98460 datasets were derived from the Gene Expression Omnibus (GEO) database. Firstly, we explored the correlation between obesity and OA using chi-square test. Next, weighted gene coexpression network analysis (WGCNA) was executed to identify obesity patients with OA- (obesity OA-) related genes in the GSE117999 dataset by “WGCNA” package. Moreover, differential expression analysis was performed to select the hub genes by “limma” package. Furthermore, ingenuity pathway analysis (IPA) and functional enrichment analysis (“clusterProfiler” package) were conducted to investigate the functions of genes. Finally, the regulatory networks of hub genes and protein-protein interaction (PPI) network were created by the Cytoscape 3.5.1 software and STRING. RESULTS: A total of 15 differentially expressed obesity OA-related genes, including 9 lncRNAs and 6 protein coding genes, were detected by overlapping 66 differentially expressed genes (DEGs) between normal BMI samples and obesity OA samples and 451 obesity OA-related genes. Moreover, CCR10, LENG8, QRFPR, UHRF1BP1, and HLA-DRB4 were identified as hub genes. IPA results indicated that the hub genes were noticeably enriched in antimicrobial response, inflammatory response, and humoral immune response. PPI network showed that CCR10 interacted more with other proteins. Gene set enrichment analysis (GSEA) indicated that the hub genes were related to protein translation, cancer, chromatin modification, antigen processing, and presentation. CONCLUSION: Our results further demonstrated the role of obesity in OA and might provide new targets for the treatment of obesity OA. Hindawi 2022-07-11 /pmc/articles/PMC9293492/ /pubmed/35860189 http://dx.doi.org/10.1155/2022/8953807 Text en Copyright © 2022 Quan Zhou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhou, Quan Sun, Huan Jia, Jin Jiang, Jun-liang Li, Tao Wu, Zhao-xiang Chen, Zhong Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title | Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title_full | Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title_fullStr | Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title_full_unstemmed | Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title_short | Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA) |
title_sort | identification of key genes related to the obesity patients with osteoarthritis based on weighted gene coexpression network analysis (wgcna) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293492/ https://www.ncbi.nlm.nih.gov/pubmed/35860189 http://dx.doi.org/10.1155/2022/8953807 |
work_keys_str_mv | AT zhouquan identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT sunhuan identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT jiajin identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT jiangjunliang identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT litao identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT wuzhaoxiang identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna AT chenzhong identificationofkeygenesrelatedtotheobesitypatientswithosteoarthritisbasedonweightedgenecoexpressionnetworkanalysiswgcna |