Bioinformatic analysis reveals endoplasmic reticulum stress-related molecular cluster and immune characterization in endometriosis：implications for disease subtyping and therapeutic strategies DOI Creative Commons
Erqing Huang, Ling Zhang,

Jie Lou

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 12, 2024

Abstract Background Numerous investigations have demonstrated the implication of endoplasmic reticulum stress (ERS) in etiology endometriosis. Employing bioinformatics methodologies, we conducted an analysis to ascertain participation genes associated with endometriosis disease subtyping and immune infiltration, aim constructing a diagnostic model for disease. Materials Methods Differential expression analysis, weighted gene co-expression network (WGCNA), protein-protein interaction (PPI) construction, three machine learning algorithms were employed identify hub Unsupervised cluster was ERS cluster. The score infiltration computed distinct clusters using CIBERSORT algorithm. Functional pathway enrichment based on differential profiles within elucidate their potential biological functions. submitted Connectivity Map database candidate therapeutic compounds. A developed utilizing genes, its predictive performance assessed. Endometrial tissue specimens obtained from patients subjected RT-qPCR immunohistochemistry (IHC) analyses evaluate mRNA protein levels genes. Results Von Willebrand factor (VWF), vascular cell adhesion molecule 1 (VCAM1), endothelial PAS domain (EPAS1), coagulation VIII (F8) identified as ERS-related consensus clustering revealed presence two stable clusters. Cluster B exhibited significantly higher scores compared A, thereby characterizing immune-enriched less that differentially expressed across predominantly participated processes related regulation activation. Decision curves, clinical impact calibration curves collectively underscored robust utility derived four In certain adrenergic receptor antagonists, progesterone or agonists, androgen modulators, NF-κB inhibitors exhibit promising prospects. contrast, presents benefits PKC activators, PPAR insulin sensitizers, adenylate cyclase caspase activators. Moreover, findings IHC assays corroborated outcomes bioinformatic demonstrating elevated both tissues.

Language: Английский

Reversing Uteropathies Including Cancer-Like Changes in Mice by Transplanting Mesenchymal Stromal Cells or XAR Treatment DOI
Pushpa Singh, Siddhanath Metkari,

Anish Tripathi

et al.

Stem Cell Reviews and Reports, Journal Year: 2023, Volume and Issue: 20(1), P. 258 - 282

Published: Oct. 2, 2023

Language: Английский

Citations

4
Menstrual products: culprits or bystanders in endometriosis and adenomyosis pathogenesis? DOI
Giulia Emily Cetera, Maria Carmen Punzi, Camilla Erminia Maria Merli

et al.

Archives of Gynecology and Obstetrics, Journal Year: 2024, Volume and Issue: 310(4), P. 1823 - 1829

Published: Aug. 28, 2024

Language: Английский

Citations

1
Construction of novel dual wave-absorbing ZnFe2O4/CNTs nanoparticles with more hotspots for enhanced microwave-induced catalytic activity：Performance and mechanism DOI
Lei Jiang, Dan Wu, Feng Yu

et al.

Ceramics International, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

1
Global gene expression analysis reveals a subtle effect of DEHP in human granulosa cell line HGrC1 DOI
Dragana Samardzija Nenadov, Biljana Tesic, Tamara Tomanic

et al.

Reproductive Toxicology, Journal Year: 2023, Volume and Issue: 120, P. 108452 - 108452

Published: Aug. 2, 2023

Language: Английский

Citations

2
Bioinformatic analysis reveals endoplasmic reticulum stress-related molecular cluster and immune characterization in endometriosis：implications for disease subtyping and therapeutic strategies DOI Creative Commons
Erqing Huang, Ling Zhang,

Jie Lou

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 12, 2024

Abstract Background Numerous investigations have demonstrated the implication of endoplasmic reticulum stress (ERS) in etiology endometriosis. Employing bioinformatics methodologies, we conducted an analysis to ascertain participation genes associated with endometriosis disease subtyping and immune infiltration, aim constructing a diagnostic model for disease. Materials Methods Differential expression analysis, weighted gene co-expression network (WGCNA), protein-protein interaction (PPI) construction, three machine learning algorithms were employed identify hub Unsupervised cluster was ERS cluster. The score infiltration computed distinct clusters using CIBERSORT algorithm. Functional pathway enrichment based on differential profiles within elucidate their potential biological functions. submitted Connectivity Map database candidate therapeutic compounds. A developed utilizing genes, its predictive performance assessed. Endometrial tissue specimens obtained from patients subjected RT-qPCR immunohistochemistry (IHC) analyses evaluate mRNA protein levels genes. Results Von Willebrand factor (VWF), vascular cell adhesion molecule 1 (VCAM1), endothelial PAS domain (EPAS1), coagulation VIII (F8) identified as ERS-related consensus clustering revealed presence two stable clusters. Cluster B exhibited significantly higher scores compared A, thereby characterizing immune-enriched less that differentially expressed across predominantly participated processes related regulation activation. Decision curves, clinical impact calibration curves collectively underscored robust utility derived four In certain adrenergic receptor antagonists, progesterone or agonists, androgen modulators, NF-κB inhibitors exhibit promising prospects. contrast, presents benefits PKC activators, PPAR insulin sensitizers, adenylate cyclase caspase activators. Moreover, findings IHC assays corroborated outcomes bioinformatic demonstrating elevated both tissues.

Language: Английский

Citations

0