Evaluation of novel biomarkers for early pregnancy outcome prediction

Author:

Bollig Kassie J1,Senapati Suneeta1,Takacs Peter2,Robins Jared C3,Haisenleder Daniel J4,Beer Lynn A5,Speicher David W5,Koelper Nathanael C1,Barnhart Kurt T1

Affiliation:

1. Department of Obstetrics and Gynecology, University of Pennsylvania , Philadelphia, PA , USA

2. Department of Obstetrics and Gynecology, Eastern Virginia Medical School , Norfolk, VA , USA

3. Department of Obstetrics and Gynecology, Northwestern University , Chicago, IL , USA

4. Department of Internal Medicine and the Center for Research in Reproduction, University of Virginia , Charlottesville, VA , USA

5. Center for Systems & Computational Biology, The Wistar Institute , Philadelphia, PA , USA

Abstract

Abstract Objective To assess performance and discriminatory capacity of commercially available enzyme-linked immunosorbent assays of biomarkers for predicting first trimester pregnancy outcome in a multi-center cohort. Design In a case-control study at three academic centers of women with pain and bleeding in early pregnancy, enzyme-linked immunosorbent assays of biomarkers were screened for assay performance. Performance was assessed via functional sensitivity, assay reportable range, recovery/linearity, and intra-assay precision (%Coefficient of Variation). Top candidates were analyzed for discriminatory capacity for viability and location among 210 women with tubal ectopic pregnancy, viable intrauterine pregnancy, or miscarriage. Assay discrimination was assessed by visual plots, area under the curve with 95% confidence intervals, and measures of central tendency with two-sample t-tests. Results Of 25 biomarkers evaluated, 22 demonstrated good or acceptable assay performance. Transgelin-2, oviductal glycoprotein, and integrin-linked kinase were rejected due to poor performance. The best biomarkers for discrimination of pregnancy location were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 1, insulin-like growth factor binding protein 1, kisspeptin (KISS1), pregnancy-specific beta-1-glycoprotein 3, and beta parvin (PARVB). The best biomarkers for discrimination of pregnancy viability were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 3, EH domain-containing protein 3, KISS1, WAP four-disulfide core domain protein 2 (HE4), quiescin sulfhydryl oxidase 2, and pregnancy-specific beta-1-glycoprotein 1. Conclusion Performance of commercially available enzyme-linked immunosorbent assays was acceptable for a panel of novel biomarkers to predict early pregnancy outcome. Of these, six and seven candidates demonstrated good discriminatory capacity of pregnancy location and viability, respectively, when validated in a distinct external population. Four markers demonstrated good discrimination for both location and viability.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cell Biology,General Medicine,Reproductive Medicine

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