Evaluation of novel biomarkers for early pregnancy outcome prediction†.

Autor:	Bollig KJ; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA., Senapati S; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA., Takacs P; Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA., Robins JC; Department of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA., Haisenleder DJ; Department of Internal Medicine and the Center for Research in Reproduction, University of Virginia, Charlottesville, VA, USA., Beer LA; Center for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA., Speicher DW; Center for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA., Koelper NC; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA., Barnhart KT; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Jazyk:	angličtina
Zdroj:	Biology of reproduction [Biol Reprod] 2024 Mar 13; Vol. 110 (3), pp. 548-557.
DOI:	10.1093/biolre/ioad162
Abstrakt:	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. (© The Author(s) 2023. Published by Oxford University Press on behalf of Society for the Study of Reproduction. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Databáze:	MEDLINE
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