Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study

• DOI: 10.1007/s43032-020-00370-9
• Publication Date: 2020-11-10T18:02:54Z
• Authors: Federica Murgia; Stefano Angioni; Maurizio Nicola D...; Silvia Pirarba; Antonio Noto; Maria Laura Santoru; Laura Tronci; Vassilios Fanos; Luigi Atzori; Francesca Congiu
• Keywords: Univariate analysis; Diagnostic biomarker

Abstract Endometriosis is a common disease affecting women in reproductive age. There are several hypotheses on the pathogenesis of this disease. Often, its lesions and symptoms overlap with those many other medical surgical conditions, causing delay diagnosis. Metabolomics represents useful diagnostic tool for study metabolic changes during different physiological or pathological status. We used 1 H-NMR to explore alteration cohort patients endometriosis order contribute better understanding pathophysiology suggest new biomarkers. Thirty-seven were recruited metabolomic analysis: 22 affected by symptomatic 15 not it. Their serum samples collected analyzed H-NMR. Multivariate statistical analysis was conducted, followed univariate pathway analyses. Partial Least Square Discriminant Analysis (PLS-DA) performed determine presence any differences between non-endometriosis ( R 2 X = 0.596, Y 0.713, Q 0.635, p < 0.0001). β-hydroxybutyric acid glutamine significantly increased, whereas tryptophan decreased patients. ROC curves built test power metabolites (β-hydroxybutyric acid: AUC 0.85 CI 0.71–0.99; glutamine: 0.83 0.68–0.98; tryptophan: 0.75 0.54–0.95; + 0.92 0.81–1). The approach enabled identification alterations occurring endometriosis. These findings may provide bases pathophysiological mechanisms discovery Trial registration number NCT02337816