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Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis
OBJECTIVE: To identify different key genes and pathways between males and females by studying differentially expressed genes (DEGs). METHODS: The gene expression data of GSE123568 were downloaded from GEO database, including osteonecrosis of the femoral head (ONFH) samples from 3 females and 7 males...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society of Musculoskeletal and Neuronal Interactions
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976184/ https://www.ncbi.nlm.nih.gov/pubmed/36856107 |
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author | Yan, Zijian Xu, Junchang Wu, Guihua Zheng, Yongling Liao, Xiaolong Zou, Feng |
author_facet | Yan, Zijian Xu, Junchang Wu, Guihua Zheng, Yongling Liao, Xiaolong Zou, Feng |
author_sort | Yan, Zijian |
collection | PubMed |
description | OBJECTIVE: To identify different key genes and pathways between males and females by studying differentially expressed genes (DEGs). METHODS: The gene expression data of GSE123568 were downloaded from GEO database, including osteonecrosis of the femoral head (ONFH) samples from 3 females and 7 males, and DEGs between different gender were identified with R software. Protein-protein interaction (PPI) network was constructed to further analyze the interactions between overlapping DEGs, and finally, GO, KEGG and gene set enrichment analysis (GSEA) were conducted for enrichment analysis. RESULTS: 131 DEGs were identified between ONFH females and ONFH males, including 76 up-regulated genes and 55 down-regulated genes. And 10 hub genes were identified in PPI network, including SLC4A1, GYPA, CXCL8, IFIT1, GBP5, IFI44, IFI44L, IFIT3, KEL and AHSP. Functional enrichment analysis revealed that these genes were mainly enriched in cGMP-PKG signaling pathway, Fatty acid degradation, Non-alcoholic fatty liver disease, Systemic lupus erythematosus, Hematopoietic cell lineage and NO-cGMP-PKG signaling. CONCLUSIONS: NO-cGMP-PKG signaling may play an important role in the occurrence and development of ONFH. SLC4A1, GYPA, CXCL8, GBP5 and AHSP may be key genes associated with gender difference in the progression of ONFH, which may be ideal targets or prognostic markers for the treatment of ONFH. |
format | Online Article Text |
id | pubmed-9976184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Society of Musculoskeletal and Neuronal Interactions |
record_format | MEDLINE/PubMed |
spelling | pubmed-99761842023-03-02 Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis Yan, Zijian Xu, Junchang Wu, Guihua Zheng, Yongling Liao, Xiaolong Zou, Feng J Musculoskelet Neuronal Interact Original Article OBJECTIVE: To identify different key genes and pathways between males and females by studying differentially expressed genes (DEGs). METHODS: The gene expression data of GSE123568 were downloaded from GEO database, including osteonecrosis of the femoral head (ONFH) samples from 3 females and 7 males, and DEGs between different gender were identified with R software. Protein-protein interaction (PPI) network was constructed to further analyze the interactions between overlapping DEGs, and finally, GO, KEGG and gene set enrichment analysis (GSEA) were conducted for enrichment analysis. RESULTS: 131 DEGs were identified between ONFH females and ONFH males, including 76 up-regulated genes and 55 down-regulated genes. And 10 hub genes were identified in PPI network, including SLC4A1, GYPA, CXCL8, IFIT1, GBP5, IFI44, IFI44L, IFIT3, KEL and AHSP. Functional enrichment analysis revealed that these genes were mainly enriched in cGMP-PKG signaling pathway, Fatty acid degradation, Non-alcoholic fatty liver disease, Systemic lupus erythematosus, Hematopoietic cell lineage and NO-cGMP-PKG signaling. CONCLUSIONS: NO-cGMP-PKG signaling may play an important role in the occurrence and development of ONFH. SLC4A1, GYPA, CXCL8, GBP5 and AHSP may be key genes associated with gender difference in the progression of ONFH, which may be ideal targets or prognostic markers for the treatment of ONFH. International Society of Musculoskeletal and Neuronal Interactions 2023 /pmc/articles/PMC9976184/ /pubmed/36856107 Text en Copyright: © Journal of Musculoskeletal and Neuronal Interactions https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 4.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Yan, Zijian Xu, Junchang Wu, Guihua Zheng, Yongling Liao, Xiaolong Zou, Feng Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title | Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title_full | Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title_fullStr | Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title_full_unstemmed | Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title_short | Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
title_sort | identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976184/ https://www.ncbi.nlm.nih.gov/pubmed/36856107 |
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