This study used two-sample Mendelian randomization to identify urinary metabolite biomarkers associated with seven psychiatric disorders using large-scale GWAS data. Researchers found 67 significant metabolite-disorder associations, including 21 that were unique to a single disorder, particularly bipolar disorder (BD) and schizophrenia. The strongest and most robust findings linked decreased urinary tyrosine with schizophrenia and decreased creatine with BD, while additional associations were identified for anorexia nervosa and ADHD. The study highlights urine as a promising non-invasive source of psychiatric biomarkers and demonstrates how genetic/computational methods can accelerate biomarker discovery, though further clinical validation is still required.