Cargando…

The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis

Osteoporosis (OP) is commonly encountered, which is a kind of systemic injury of bone mass and microstructure, leading to brittle fractures. With the aging of the population, this disease will pose a more serious impact on medical, social, and economic aspects, especially postmenopausal osteoporosis...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Mengdie, Ding, Hong, Chao, Rui, Cao, Zhidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902144/
https://www.ncbi.nlm.nih.gov/pubmed/36755691
http://dx.doi.org/10.1155/2023/6726038
_version_ 1784883196706422784
author Hu, Mengdie
Ding, Hong
Chao, Rui
Cao, Zhidong
author_facet Hu, Mengdie
Ding, Hong
Chao, Rui
Cao, Zhidong
author_sort Hu, Mengdie
collection PubMed
description Osteoporosis (OP) is commonly encountered, which is a kind of systemic injury of bone mass and microstructure, leading to brittle fractures. With the aging of the population, this disease will pose a more serious impact on medical, social, and economic aspects, especially postmenopausal osteoporosis (PMOP). This study is aimed at figuring out potential therapeutic targets and new biomarkers in OP via bioinformatics tools. After differentially expressed gene (DEG) analysis, we successfully identified 97 upregulated and 172 downregulated DEGs. They are mainly concentrated in actin binding, regulation of cytokine production, muscle cell promotion, chemokine signaling pathway, and cytokine-cytokine receiver interaction. According to the diagram of protein-protein interaction (PPI), we obtained 10 hub genes: CCL5, CXCL10, EGFR, HMOX1, IL12B, CCL7, TBX21, XCL1, PGR, and ITGA1. Expression analysis showed that Egfr, Hmox1, and Pgr were significantly upregulated in estrogen-treated osteoporotic patients, while Ccl5, Cxcl10, Il12b, Ccl7, Tbx21, Xcl1, and Itga1 were significantly downregulated. In addition, the analysis results of Pearson's correlation revealed that CCL7 has a strong positive association with IL12b, TBX21, and CCL5 and so was CCL5 with IL12b. Conversely, EGFR has a strong negative association with XCL1 and CXCL10. In conclusion, this study screened 10 hub genes related to OP based on the GEO database, laying a biological foundation for further research on new biomarkers and potential therapeutic targets in OP.
format Online
Article
Text
id pubmed-9902144
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-99021442023-02-07 The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis Hu, Mengdie Ding, Hong Chao, Rui Cao, Zhidong Biomed Res Int Research Article Osteoporosis (OP) is commonly encountered, which is a kind of systemic injury of bone mass and microstructure, leading to brittle fractures. With the aging of the population, this disease will pose a more serious impact on medical, social, and economic aspects, especially postmenopausal osteoporosis (PMOP). This study is aimed at figuring out potential therapeutic targets and new biomarkers in OP via bioinformatics tools. After differentially expressed gene (DEG) analysis, we successfully identified 97 upregulated and 172 downregulated DEGs. They are mainly concentrated in actin binding, regulation of cytokine production, muscle cell promotion, chemokine signaling pathway, and cytokine-cytokine receiver interaction. According to the diagram of protein-protein interaction (PPI), we obtained 10 hub genes: CCL5, CXCL10, EGFR, HMOX1, IL12B, CCL7, TBX21, XCL1, PGR, and ITGA1. Expression analysis showed that Egfr, Hmox1, and Pgr were significantly upregulated in estrogen-treated osteoporotic patients, while Ccl5, Cxcl10, Il12b, Ccl7, Tbx21, Xcl1, and Itga1 were significantly downregulated. In addition, the analysis results of Pearson's correlation revealed that CCL7 has a strong positive association with IL12b, TBX21, and CCL5 and so was CCL5 with IL12b. Conversely, EGFR has a strong negative association with XCL1 and CXCL10. In conclusion, this study screened 10 hub genes related to OP based on the GEO database, laying a biological foundation for further research on new biomarkers and potential therapeutic targets in OP. Hindawi 2023-01-30 /pmc/articles/PMC9902144/ /pubmed/36755691 http://dx.doi.org/10.1155/2023/6726038 Text en Copyright © 2023 Mengdie Hu 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
Hu, Mengdie
Ding, Hong
Chao, Rui
Cao, Zhidong
The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title_full The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title_fullStr The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title_full_unstemmed The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title_short The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis
title_sort hub genes related to osteoporosis were identified by bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902144/
https://www.ncbi.nlm.nih.gov/pubmed/36755691
http://dx.doi.org/10.1155/2023/6726038
work_keys_str_mv AT humengdie thehubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT dinghong thehubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT chaorui thehubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT caozhidong thehubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT humengdie hubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT dinghong hubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT chaorui hubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis
AT caozhidong hubgenesrelatedtoosteoporosiswereidentifiedbybioinformaticsanalysis