Identification of novel susceptibility factors related to CP/CPPS-like symptoms: Evidence from a multicenter case-control study

High glucose intake exacerbates experimental autoimmune prostatitis through mitochondrial reactive oxygen species-dependent TGF-β activation-mediated Th17 differentiation

Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a common inflammatory immune disease of the urogenital system. High glucose intake is considered to be a potential promoter of autoimmune diseases. However, the influence of high glucose intake on CP/CPPS is unknown. This research aimed to explore the influences of high glucose intake on experimental autoimmune prostatitis (EAP), a valid animal model of CP/CPPS, and the underlying mechanism. NOD mice received 20% glucose water or normal water treatment during EAP induction. EAP severity and Th17 cell responses were evaluated. Then, we explored the effects of an IL-17A neutralizing antibody, an inhibitor of TGF-β, the reactive oxygen species (ROS) inhibitor NAC, and the mitochondrial ROS (mtROS) antioxidant MitoQ on glucose-fed EAP mice. The results demonstrated that high glucose intake aggravated EAP severity and promoted Th17 cell generation, which could be ameliorated by the neutralization of IL-17A. In vitro experiments showed that high dextrose concentrations promoted Th17 cell differentiation through mtROS-dependent TGF-β activation. Treatment with TGF-β blockade, NAC, or MitoQ suppressed Th17 cell generation both in vivo and in vitro, resulting in the amelioration of EAP manifestations caused by high glucose intake. This study revealed that high glucose intake exacerbates EAP through mtROS-dependent TGF-β activation-mediated Th17 differentiation. Our results may provide insights into the molecular mechanisms underlying the detrimental effects of an environmental factor, such as high glucose intake, on CP/CPPS.

Higher Intake of Fat, Vitamin E-(β+γ), Magnesium, Sodium, and Copper Increases the Susceptibility to Prostatitis-like Symptoms: Evidence from a Chinese Adult Cohort

Background: Prostatitis-like symptoms (PLS) lead to severe discomfort in males in their daily lives. Diet has been established as affecting PLS in our prior study, but the effect of nutrients, particularly for micronutrients remains largely unclear. Methods: This study enrolled 1284 participants from August 2020 to March 2021. The National Institute of Health−Chronic Prostatitis Symptom Index was used to assess PLS. The diet composition was evaluated by the Chinese Food Composition Tables. Results: Participants were separated into PLS (n = 216), control (n = 432), and noninflammatory-abnormal symptoms (NIANS) (n = 608) groups. We observed higher levels of carotene, vitamin C, vitamin E-(β+γ) and subclass, zinc, magnesium, selenium, potassium, sodium, iron and manganese in the PLS group than in the control group. After adjustment for the potential confounders, the elevated risk from IQR2 to IQR4 of fat (P for trend = 0.011), vitamin E-(β+γ) (P for trend = 0.003), magnesium (P for trend = 0.004), sodium (P for trend = 0.001) and copper (P for trend < 0.001) was identified. Conclusions: This is the first study to evaluate the nutrient distribution in PLS patients and reveal that the higher intake of fat, vitamin E-(β+γ), magnesium, sodium, and copper is associated with a risk of PLS.

Metabolomics Analysis Reveals the Differential Metabolites and Establishes the Therapeutic Effect Prediction Nomogram Among CP/CPPS Patients Who Respond or Do Not Respond to LiST

Objective

Low-intensity shockwave therapy (LiST) has been applied in the clinical treatment of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), but few studies have focused on the prediction of its therapeutic effect before treatment.

Methods

Seventy-five CP/CPPS patients from our institute between July 2020 and May 2021 were enrolled and received 3 Hz, 0.25 mJ/mm2 LiST once a week over the course of four weeks. The scores of the NIH-CPSI, IPSS questionnaire and demographic features before treatment were recorded. The plasma before LiST treatment was also collected, while liquid chromatography-tandem mass spectrometry was used to detect the metabolites. Least absolute shrinkage and selection operator (LASSO) regression analysis was employed to identify the prediction metabolites and generate the metabolism score. Receiver operating characteristic curves and calibration curves were drawn to assess the prediction accuracy of the nomogram.

Results

Twelve metabolites were identified at incomparable levels before and after LiST treatment. The metabolism score generated by LASSO analysis presented a perfect prediction value (AUC: 0.848, 95% CI: 0.719-0.940) in the training cohort and further increased to 0.892 (95% CI: 0.802-0.983) on the nomogram, which accompanied with the NIH-CPSI scores and age. Similar results of the metabolism score (AUC: 0.732, 95% CI: 0.516-0.889) and total nomogram (AUC: 0.968, 95% CI: 0.909-1.000) were obtained in the testing cohort. Further enrichment of the 12 metabolites indicated that the glycine and serine metabolism pathway was involved in the LiST treatment.

Conclusion

We used our system to accurately and quantitatively measure plasma metabolites and establish a predictive model to identify suitable patients for LiST treatment.

Dietary habits and lifestyle related to the effectiveness of low-intensity extracorporeal shock wave therapy for chronic prostatitis/chronic pelvic pain syndrome-like symptoms: Initial results

To identify factors that could influence the treatment outcomes of low-intensity extracorporeal shock wave therapy (Li-ESWT) on chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS)-like symptoms and establish a predictive model based on these factors to precisely screen individuals who might be more suitable for Li-ESWT. This study enrolled 84 patients with CP/CPPS-like symptoms who received Li-ESWT. Patients were divided into an effective group and an ineffective group based on the reduction of their National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI). A nomogram was established based on logistic regression analyses. Then, receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA) were used to evaluate the nomogram. Univariate and multivariate logistic regression analysis showed that a higher NIH-CPSI score, a habit of holding urine, alcohol consumption, and urination soon after intercourse were independent predictors of Li-ESWT efficacy (p < 0.05). The nomogram constructed based on these four indicators and the added age effectively predicted the probability of Li-ESWT effectiveness for CP/CPPS-like symptoms (0.809 [95% CI: 0.717-0.901]; Hosmer-Lemeshow: p = 0.936). This study established a predictive model for the efficacy of Li-ESWT in treating CP/CPPS-like symptoms patients and help improve the management of CP/CPPS-like symptoms.