Exploration of Diagnostic Deubiquitinating Enzymes in Endometriosis and Its Immune Infiltration.
Biomarkers
Deubiquitination
Endometriosis
Immune microenvironment
Journal
Biochemical genetics
ISSN: 1573-4927
Titre abrégé: Biochem Genet
Pays: United States
ID NLM: 0126611
Informations de publication
Date de publication:
01 Feb 2024
01 Feb 2024
Historique:
received:
19
07
2023
accepted:
27
12
2023
medline:
2
2
2024
pubmed:
2
2
2024
entrez:
1
2
2024
Statut:
aheadofprint
Résumé
The mechanism involved in the pathogenesis of endometriosis is poorly understood. The purpose of this study is to identify key deubiquitinating enzymes (DUBs) for endometriosis diagnosis and elucidate the possible mechanism, offering novel insights for noninvasive early diagnosis and treatment. Four gene expression datasets were employed from the Gene Expression Omnibus to identify differentially expressed genes (DEGs) between endometriosis and normal controls. GO and KEGG pathways were performed for enrichment analysis. Calibration curves, ROC, DCA, and clinical impact curves verified the clinical usefulness of the nomogram model. In addition, the ssGSEA method was conducted to estimate 23 types of immune cells. A specific DUB gene signature was constructed with Lasso regression, univariate logistic regression, and SVM analysis. RT-qPCR validated the expression of biomarkers. A total of 85 endometriosis-related DUBs were identified in the eutopic endometrium. Among them, 20 DUBs were found to be correlated with the severity of endometriosis. A diagnostic risk model based on five DUB-related genes (USP21, USP48, ZRANB1, COPS5, and EIF3F) was developed using lasso-cox regression analysis. The nomogram model exhibited a strong predictive ability to diagnose endometriosis. KEGG analysis revealed that ubiquitin-mediated proteolysis was activated in patients suffering from severe symptoms. Analysis of immune cell infiltration revealed a positive correlation between USP21 and multiple immune cells in the eutopic endometrium. However, EIF3F showed an opposite relationship. Dysregulation of DUBs was related to the immune microenvironment in endometriosis. Results from RT-qPCR confirmed the expression of DEGs in clinical samples. In summary, the diagnostic model for endometriosis constructed using five differentially expressed DUB genes demonstrates strong diagnostic capability, suggesting that these genes could serve as potential candidate biomarkers and therapeutic targets.
Identifiants
pubmed: 38302849
doi: 10.1007/s10528-023-10653-w
pii: 10.1007/s10528-023-10653-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Zhejiang Provincial Natural Science Foundation of China
ID : Q24H040012
Organisme : Foundation of Zhejiang Provincial Education Department
ID : Y202351214
Organisme : Zhejiang Provincial Medical and Health Technology Plan
ID : 2023KY205
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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