Clinical Implications of Vasoactive Intestinal Peptide and 5-Hydroxytryptamine in Diabetic Neurogenic Bladder and Their Relationship with Post-Void Residual Urine Volume
Abstract
Objective: To elucidate the clinical significance of vasoactive intestinal peptide (VIP) and 5-hydroxytryptamine (5-HT) in diabetic neurogenic bladder (DNB). A key objective is to determine the diagnostic, stratifying, and prognostic value of their simultaneous detection, and to reveal the dynamic associations of these biomarkers with post-void residual urine volume (PVR).
Methods: The study population consisted of 30 DNB patients and 30 healthy individuals from the same timeframe (June 2024-April 2025). Laboratory assessments quantified serum VIP concentration by enzyme-linked immunosorbent assay (ELISA) and 5-HT concentration by liquid chromatography-mass spectrometry (LC-MS). PVR quantification relied on urodynamic examination and abdominal ultrasound. Over a 3-month follow-up, serial measurements of VIP and 5-HT were obtained. Statistical analyses, including Pearson correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression modeling, were employed to assess the relationships of these biomarkers with PVR, bladder function classification, and patient prognosis.
Results: Significant reductions in VIP and 5-HT were observed in DNB patients relative to controls (P<0.05). The combined use of VIP and 5-HT achieved an AUC value of 0.878, with 83.33% sensitivity and 86.67% specificity, indicating better diagnostic efficacy than single-marker detection (P<0.05). VIP and 5-HT levels were inversely related to PVR (P<0.05). In DNB patients, both biomarkers increased gradually at one and three months post-treatment (P<0.05), paralleling urodynamic improvements. Patients with lower VIP and 5-HT levels three months after treatment had a greater propensity for upper urinary tract impairment, urinary tract infections, and disease advancement.
Conclusion: The combined detection of VIP and 5-HT enables effective evaluation of DNB severity, forecasts disease progression, and offers a foundation for timely intervention through dynamic monitoring.
Copyright (c) 2025 Long Shi, Shaoqi Zhang, Longjun Cai, Jianjun Zhang, Gao Liu, Xiangyu Wang, Furong Ji, Yongming Sun, Zhongqing Wei

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