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Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics

BACKGROUND: Osteoarthritis (OA) is a common disorder in the elderly. OA influences the daily life of patients and has become a worldwide health problem. It is still unclear whether the pathogenesis mechanism is different between males and females. This study investigated the differentially expressed...

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Autores principales: Yang, Yunfeng, You, Xiaomeng, Cohen, Jordan Daniel, Zhou, Haichao, He, Wenbao, Li, Zihua, Xiong, Yuan, Yu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163332/
https://www.ncbi.nlm.nih.gov/pubmed/32255771
http://dx.doi.org/10.12659/MSM.923331
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author Yang, Yunfeng
You, Xiaomeng
Cohen, Jordan Daniel
Zhou, Haichao
He, Wenbao
Li, Zihua
Xiong, Yuan
Yu, Tao
author_facet Yang, Yunfeng
You, Xiaomeng
Cohen, Jordan Daniel
Zhou, Haichao
He, Wenbao
Li, Zihua
Xiong, Yuan
Yu, Tao
author_sort Yang, Yunfeng
collection PubMed
description BACKGROUND: Osteoarthritis (OA) is a common disorder in the elderly. OA influences the daily life of patients and has become a worldwide health problem. It is still unclear whether the pathogenesis mechanism is different between males and females. This study investigated the differentially expressed genes (DEGs) and explored the different signaling pathways of OA between males and females. MATERIAL/METHODS: Data sets of GSE55457, GSE55584, and GSE12021 were retrieved from Gene Expression Omnibus to conduct DEGs analysis. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathway and Gene Ontology term was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatics tool. The protein interaction network was constructed in Cytoscape 3.7.2. qRT-PCR was then performed to validate the expression of hub genes in OA patients and healthy people. RESULTS: In total, 4 co-upregulated and 10 co-downregulated genes were identified. We found that enriched pathways were different between males and females. BCL2L1, EEF1A1, EEF2, HNRNPD, and PABPN1 were considered as hub genes in OA pathogenesis in males, while EEF2, EEF1A1, RPL37A, FN1 were considered as hub genes in OA pathogenesis in females. Consistent with the bioinformatics analysis, the qRT-PCR analysis also showed that the gene expression of BCL2L1, HNRNPD, and PABPN1 was significantly lower in male OA patients. In contrast, EEF2, EEF1A1, and RPL37A were significantly lower in female OA patients. CONCLUSIONS: The DEGs identified may be involved in different OA disease progression mechanisms between males and females, and they are considered as treatment targets or prognosis markers for males and females. The pathogenesis mechanism is sex-dependent.
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spelling pubmed-71633322020-04-17 Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics Yang, Yunfeng You, Xiaomeng Cohen, Jordan Daniel Zhou, Haichao He, Wenbao Li, Zihua Xiong, Yuan Yu, Tao Med Sci Monit Database Analysis BACKGROUND: Osteoarthritis (OA) is a common disorder in the elderly. OA influences the daily life of patients and has become a worldwide health problem. It is still unclear whether the pathogenesis mechanism is different between males and females. This study investigated the differentially expressed genes (DEGs) and explored the different signaling pathways of OA between males and females. MATERIAL/METHODS: Data sets of GSE55457, GSE55584, and GSE12021 were retrieved from Gene Expression Omnibus to conduct DEGs analysis. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathway and Gene Ontology term was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatics tool. The protein interaction network was constructed in Cytoscape 3.7.2. qRT-PCR was then performed to validate the expression of hub genes in OA patients and healthy people. RESULTS: In total, 4 co-upregulated and 10 co-downregulated genes were identified. We found that enriched pathways were different between males and females. BCL2L1, EEF1A1, EEF2, HNRNPD, and PABPN1 were considered as hub genes in OA pathogenesis in males, while EEF2, EEF1A1, RPL37A, FN1 were considered as hub genes in OA pathogenesis in females. Consistent with the bioinformatics analysis, the qRT-PCR analysis also showed that the gene expression of BCL2L1, HNRNPD, and PABPN1 was significantly lower in male OA patients. In contrast, EEF2, EEF1A1, and RPL37A were significantly lower in female OA patients. CONCLUSIONS: The DEGs identified may be involved in different OA disease progression mechanisms between males and females, and they are considered as treatment targets or prognosis markers for males and females. The pathogenesis mechanism is sex-dependent. International Scientific Literature, Inc. 2020-04-07 /pmc/articles/PMC7163332/ /pubmed/32255771 http://dx.doi.org/10.12659/MSM.923331 Text en © Med Sci Monit, 2020 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Database Analysis
Yang, Yunfeng
You, Xiaomeng
Cohen, Jordan Daniel
Zhou, Haichao
He, Wenbao
Li, Zihua
Xiong, Yuan
Yu, Tao
Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title_full Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title_fullStr Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title_full_unstemmed Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title_short Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics
title_sort sex differences in osteoarthritis pathogenesis: a comprehensive study based on bioinformatics
topic Database Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163332/
https://www.ncbi.nlm.nih.gov/pubmed/32255771
http://dx.doi.org/10.12659/MSM.923331
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