NMR-Based Targeted Metabolic Profiling for Discovery of Urinary Biomarkers in Male Lower Urinary Tract Symptoms

Motivation: Lower Urinary Tract Symptoms (LUTS) in males are prevalent and often associated with conditions like benign prostatic hyperplasia, but current diagnostic methods are invasive and lack specificity. Goal(s): The goal of this study is to identify novel urinary biomarkers that could serve as non-invasive diagnostic tools for male LUTS. Approach: Metabolomics study of urine demonstrated a potential for discrimination between LUTS and HC using 1H-NMR and machine learning or AI tools. Results: Dimethylamine, dimethylglycine, creatine, creatinine, tyrosine, histidine, indoxyl sulfate associated with inflammation, oxidative stress, and microbiota derived metabolites. Impact: This study has the potential to significantly improve LUTS diagnosis by offering a non-invasive alternative to current methods.