Abstract
Background: Despite ongoing progresses of IVF techniques, biomarkers predicting their outcome prior to IVF initiation are lacking. We investigated whether serum levels of the stress-inducible soluble major histocompatibility complex Class I chain-related molecule, MICA, (sMIC), a regulator of cellular immunity, can be predictive of implantation or pregnancy failure after IVF. Methods: sMIC serum levels, evaluated during the follicular phase of the cycle preceding in vitro fertilization, in a cohort of 170 infertile women with 22.3% IVF success rate were analyzed in association with implantation/pregnancy failure or live birth outcomes after IVF. Results: sMIC serum levels, detected in 38% of all women undergoing IVF, were shown to be predictive both of implantation failure (≥ 2.45 ng/ ml cut off, odds ratio (OR) = 4.6; 95% confidence interval (CI) = 1.08 - 19.79; P = 0.031) and successful pregnancy (< 2.45 ng/ml, OR = 13.8; 95% CI = 2.03-118.3; P = 0.002). When successful implantation occurred, sMIC levels > 3.2 ng/ml were predictive of spontaneous abortion (OR = 35; 95% CI = 1.74-703; P = 0.026). Conclusions: sMIC is thus to be considered as a novel blood biomarker which, when quantified prior to initiation of IVF, anticipates chances for infertile women to give birth to a viable baby. Considering medical and psychological cost of IVF, this non-invasive assay may thus contribute to better counseling, treatment and care of infertile couples prior to IVF. © The Author 2007. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved.
Author supplied keywords
Cite
CITATION STYLE
Porcu-Buisson, G., Lambert, M., Lyonnet, L., Loundou, A., Gamerre, M., Camoin-Jau, L., … Paul, P. (2007). Soluble MHC Class I chain-related molecule serum levels are predictive markers of implantation failure and successful term pregnancies following IVF. Human Reproduction, 22(8), 2261–2266. https://doi.org/10.1093/humrep/dem157
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.