Keywords: Urogenital, biomarkers, Metabolomics,NMR and urine
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.
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