Journal of Personalized Medicine Review Metabolomics for Diagnosis and Prognosis of Uterine Diseases? A Systematic Review Janina Tokarz 1 , Jerzy Adamski 1,2,3,4 and Tea Lanišnik Rižner 5,* 1 Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, German Research Centre for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;
[email protected] (J.T.);
[email protected] (J.A.) 2 German Centre for Diabetes Research, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany 3 Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, 85764 Neuherberg, Germany 4 Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore 5 Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia * Correspondence:
[email protected]; Tel.: + 386-1-5437657 Received: 4 November 2020; Accepted: 18 December 2020; Published: 21 December 2020 Abstract: This systematic review analyses the contribution of metabolomics to the identification of diagnostic and prognostic biomarkers for uterine diseases. These diseases are diagnosed invasively, which entails delayed treatment and a worse clinical outcome. New options for diagnosis and prognosis are needed. PubMed, OVID, and Scopus were searched for research papers on metabolomics in physiological fluids and tissues from patients with uterine diseases. The search identified 484 records. Based on inclusion and exclusion criteria, 44 studies were included into the review. Relevant data were extracted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) checklist and quality was assessed using the QUADOMICS tool. The selected metabolomics studies analysed plasma, serum, urine, peritoneal, endometrial, and cervico-vaginal fluid, ectopic/eutopic endometrium, and cervical tissue.