Document Type
Conference Proceeding
Publication Date
3-2022
Publication Title
Reproductive Sciences
Abstract
Introduction: Ectopic pregnancy (EP) is a potentially life-threatening condition and early diagnosis still remains a challenge, causing a delay in management leading to tubal rupture. Targeted metabolomics has been shown to identify novel biomarkers for the detection of ectopic pregnancy. Using untargeted metabolomics approach, we sought to identify putative plasma biomarkers for the detection of tubal EP compared to intrauterine pregnancies. Methods: This case-control study included prospective recruitment of 50 tubal EP cases and 50 early intrauterine pregnancy controls. Plasma samples were biochemically profiled using tandem liquid chromatographymass (MS/MS) spectrometry with untargeted metabolomics approach. To avoid over-fitting, datasets were randomly divided into a discovery group (30 cases vs 30 controls) and a test group (20 cases and 20 controls). Logistic regression models were developed in the discovery group and validated in the independent test group. Molecular networking and metabolite identification was employed using Global Natural Products Social Molecular Networking (GNPS) data base. Univariate and multivariate analysis were performed via MetaboAnalyst 5.0. Results: In total 585 molecular features were identified. 46 metabolite concentrations were significantly altered in EP plasma (p
Volume
29
Issue
Suppl 1
First Page
85
Last Page
86
Recommended Citation
Turkoglu O, Quinn R, Graham SF, Bahado-Singh R. Untargeted metabolomic identification of diagnostic biomarkers in ectopic pregnancy. Reprod Sci. 2022 Mar;29(S1):85-86. doi: 10.1007/s43032-022-00883-5.
DOI
10.1007/s43032-022-00883-5
Comments
Michigan Section American College of Obstetrics and Gynecology Meeting, February 2022.
Society of Reproductive Investigation 69th Annual Scientific Meeting, March 15-19, 2022, Denver, CO.