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Article
Metabolomic identification of novel diagnostic biomarkers in ectopic pregnancy.
Articles
  • Onur Turkoglu, Beaumont Health
  • Ayse Citil, Beaumont Health
  • Praveen Kumar, Beaumont Health
  • Ali Yilmaz, Beaumont Health
  • Dilek S Uygur, Beaumont Health
  • Salim Erkaya, Beaumont Health
  • Stewart F Graham, Beaumont Health
  • Ray O Bahado-Singh, Beaumont Health
Document Type
Article
Publication Date
10-19-2019
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.

OBJECTIVES: To identify putative plasma biomarkers for the detection of tubal EP and elucidate altered biochemical pathways in EP compared to intrauterine pregnancies.

METHODS: This case-control study included prospective recruitment of 39 tubal EP cases and 89 early intrauterine pregnancy controls. Plasma samples were biochemically profiled using proton nuclear magnetic resonance spectroscopy (

RESULTS: In total 13 of 43 (30.3%) metabolite concentrations were significantly altered in EP plasma (p < 0.05). Metabolomic profiling yielded significant separation between EP and controls (p < 0.05). Independent validation of a two-metabolite model consisting of lactate and acetate, achieved an AUC (95% CI) = 0.935 (0.843-1.000) with a sensitivity of 92.3% and specificity of 96.6%. The second metabolite model (D-glucose, pyruvate, acetoacetate) performed well with an AUC (95% CI) = 0.822 (0.657-0.988) and a sensitivity of 84.6% and specificity of 86.2%.

CONCLUSION: We report novel metabolomic biomarkers with a high accuracy for the detection of EP. Accurate biomarkers could potentially result in improved early diagnosis of tubal EP cases.

PubMed ID
31630278
Citation Information
Turkoglu O, Citil A, Katar C, Mert I, Kumar P, Yilmaz A, Uygur DS, Erkaya S, Graham SF, Bahado-Singh RO. Metabolomic identification of novel diagnostic biomarkers in ectopic pregnancy. Metabolomics. 2019 Oct 19;15(11):143. doi: 10.1007/s11306-019-1607-1. PubMed PMID: 31630278.