Evaluation of plasma PPARγ as a potential diagnostic marker for female interstitial cystitis/painful bladder syndrome and its predictive model
10.3969/j.issn.1006-5725.2025.02.016
- VernacularTitle:血浆PPARγ作为女性间质性膀胱炎/膀胱疼痛综合征潜在诊断标志物的评估及其预测价值
- Author:
Zhao WANG
1
;
Jiepeng ZUO
1
;
Hang CHE
1
;
Lingyun REN
1
;
Zhe XU
1
;
Lei WANG
1
Author Information
1. 河北医科大学第一医院泌尿外科,河北石家庄 050000
- Publication Type:Journal Article
- Keywords:
interstitial cystitis/bladder pain syndrome;
PPARγ;
diagnostic biomarkers;
predictive model
- From:
The Journal of Practical Medicine
2025;41(2):258-263
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the correlation between PPARγ and female interstitial cystitis/bladder pain syndrome (IC/BPS) and to establish a predictive model. Methods Clinical data were collected from 89 female IC/BPS patients (observational group) admitted to the hospital from June 2022 to December 2023,and 90 healthy female volunteers undergoing physical examinations during the same period (control group). Plasma levels of inflammatory factors,total antioxidant capacity (TAC),total glutathione (GSH),malondialdehyde (MDA),and PPARγ levels were measured. Significant clinical features were identified using LASSO regression and fitted into a multivariate logistic regression model. The diagnostic efficacy was assessed through receiver operat-ing characteristic (ROC) curves. Results Compared to the control group,the observation group exhibited signifi-cantly elevated age,BMI,NLR,absolute neutrophil count,IFN-α,IL-1β,IL-6,IL-8,TNF-α and CD3+CD4+T expression levels,while absolute lymphocyte count,IL-10,TAC,GSH and plasma PPARγ expression levels were significantly decreased (all P<0.05). LASSO regression identified 8 variables,including NLR,IFN-α,absolute neutrophil count,IL-1β,IL-6,TNF-α,CD3+CD4+T and PPARγ,which were incorporated into the predictive model. Multivariate binary logistic regression analysis revealed that elevated levels of IL-1β,TNF-α and CD3+CD4+T cells,along with reduced PPARγ levels,were independent risk factors for IC/BPS. ROC curve analy-sis indicated that the diagnostic efficacy of the combined PPARγ and clinical parameters (age,IL-1β,TNF-α and CD3+CD4+T) (AUC=0.901) was superior to PPARγ alone (AUC=0.839). Conclusion Plasma PPARγ levels are significantly reduced in female IC/BPS patients and serve as a potential diagnostic marker,with combined clinical parameters enhancing diagnostic accuracy.
