Integrative Analysis for Elucidating Transcriptomics Landscapes of Glucocorticoid-Induced Osteoporosis.
enrichment analysis
glucocorticoid
microarray
osteoporosis
protein-protein interaction
Journal
Frontiers in cell and developmental biology
ISSN: 2296-634X
Titre abrégé: Front Cell Dev Biol
Pays: Switzerland
ID NLM: 101630250
Informations de publication
Date de publication:
2020
2020
Historique:
received:
07
02
2020
accepted:
25
03
2020
entrez:
7
5
2020
pubmed:
7
5
2020
medline:
7
5
2020
Statut:
epublish
Résumé
Osteoporosis is the most common bone metabolic disease, characterized by bone mass loss and bone microstructure changes due to unbalanced bone conversion, which increases bone fragility and fracture risk. Glucocorticoids are clinically used to treat a variety of diseases, including inflammation, cancer and autoimmune diseases. However, excess glucocorticoids can cause osteoporosis. Herein we performed an integrated analysis of two glucocorticoid-related microarray datasets. The WGCNA analysis identified 3 and 4 glucocorticoid-related gene modules, respectively. Differential expression analysis revealed 1047 and 844 differentially expressed genes in the two datasets. After integrating differentially expressed glucocorticoid-related genes, we found that most of the robust differentially expressed genes were up-regulated. Through protein-protein interaction analysis, we obtained 158 glucocorticoid-related candidate genes. Enrichment analysis showed that these genes are significantly enriched in the osteoporosis related pathways. Our results provided new insights into glucocorticoid-induced osteoporosis and potential candidate markers of osteoporosis.
Identifiants
pubmed: 32373610
doi: 10.3389/fcell.2020.00252
pmc: PMC7176994
doi:
Types de publication
Journal Article
Langues
eng
Pagination
252Informations de copyright
Copyright © 2020 Ying, Jin, Wang, He, Zhang, Ren, Chai, Fu, Zhao, Chen, Ma and Liu.
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