Background: Interstitial cystitis (IC)/bladder pain syndrome (BPS) is a challenging disease, affecting thousands of people all around the world, especially women. Although there have been numerous theories regarding IC/BPS etiology, the physiopathology of the disease still remains unclear and there is a lack of certain treatment.
Objectives: The aim of the study was to assess the role of nerve fibers and nerve growth factor (NGF) in the etiopathogenesis of IC/BPS symptoms by demonstrating if there is a correlation between urine NGF levels, amount of peripheral nerves in bladder mucosa and symptom severity.
Material And Methods: A prospective clinical study was conducted with 15 IC/BPS patients and 18 controls. Urine NGF levels were measured by enzyme-linked immunosorbent assay (ELISA). Bladder punch biopsies were obtained from 15 IC/BPS patients and 9 controls. Immunohistochemistry was performed for S-100 to highlight peripheral nerve twigs in bladder mucosa. The O'Leary-Sant Interstitial Cystitis Symptom and Problem Index (OSICSPI) was used to assess symptom severity and effects of the disease on the patients' life.
Results: NGF normalized to urine creatinine (NGF/Cr) levels in IC/BPS patients were significantly higher than in controls, 0.34 ±0.22 and 0.09 ±0.08 pg/mL: mg/dL, respectively (p < 0.001). The mean symptom score in IC patients was 12.27 ±2.4 (median: 12) and the mean problem score was 10.9 ±2.3 (median: 12). The mean mucosal nerve (S-100 stained) area in the IC/BPS group was significantly higher than in the controls, 2.53 ±1.90 vs 1.0 ±0.70, respectively (p = 0.018). In correlation analyses, the NGF/Cr level in IC/BPS patients was found significantly correlated with the O'Leary-Sant IC Symptom and Problem Index scores independently (p = 0.001 and p = 0.028, respectively).
Conclusions: NGF seems to be a promising biomarker in IC/BPS. It may help clinicians in diagnoses and patient follow-up. Thus, unnecessary, expensive and invasive tests, interventions and treatments might be avoided.
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http://dx.doi.org/10.17219/acem/69231 | DOI Listing |
PLoS One
December 2024
Institute of Cell Biology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Setting up the correct diagnosis of interstitial cystitis/bladder pain syndrome (IC/BPS), a chronic inflammatory disease of the bladder, is a challenge, as there are neither diagnostic criteria nor reliable and non-invasive disease biomarkers available. The aim of the present study was to simultaneously determine matched serum- and urine-derived biomarkers of IC/BPS, which would provide additional insights into disease mechanisms and set the basis for further biomarker validation. Our study included 12 female patients with IC/BPS and 12 healthy controls.
View Article and Find Full Text PDFNeurourol Urodyn
December 2024
Faculty of Medicine, Department of Urology, Hacettepe University, Ankara, Türkiye.
Introduction: Interstitial cystitis/bladder pain syndrome (IC/BPS) is a debilitating pain condition of unknown etiology. Effective therapies for this condition could not have been developed in the last century. Drug repurposing is a practical strategy for enhancing patient access to successful therapies.
View Article and Find Full Text PDFInterstitial cystitis/bladder pain syndrome (IC/BPS) is a likely underdiagnosed chronic pain syndrome consisting of pelvic pain lasting longer than 6 weeks plus lower urinary tract symptoms in the absence of infection or other identifiable cause. It is more common after 40 years of age. The etiology is unclear, but some patients have inflammatory findings in the bladder known as Hunner lesions.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Centro de Investigación e Innovación en Bioingeniería (CI2B), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Several studies have shown interstitial cystitis/bladder pain syndrome (IC/BPS), a chronic condition that poses challenges in both diagnosis and treatment, is associated with painful pelvic floor muscles (PFM) and altered neural drive to these muscles. However, its pathophysiology could also involve other alterations in the electrical activity of PFM motor units (MUs). Studying these alterations could provide novel insights into IC/BPS and help its clinical management.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Underactive Bladder Foundation, Pittsburgh, PA 15235, USA.
This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as features. We applied various machine learning techniques to biomarker data from the previous IP4IC and ICRS studies to predict the presence of IC/BPS, a disorder impacting the urinary bladder. Data were sourced from two nationwide, crowd-sourced collections of urine samples involving 2009 participants.
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