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Embryo morphokinetic score is associated with biomarkers of developmental competence and implantation.

Authors :
Coticchio G
Pennetta F
Rizzo R
Tarozzi N
Nadalini M
Orlando G
Centonze C
Gioacchini G
Borini A
Source :
Journal of assisted reproduction and genetics [J Assist Reprod Genet] 2021 Jul; Vol. 38 (7), pp. 1737-1743. Date of Electronic Publication: 2021 Apr 05.
Publication Year :
2021

Abstract

Purpose: To study embryo morphokinetics in relation to release in spent media of molecules with possible roles in development and implantation (miR-20a, miR-30c, and sHLA-G).<br />Methods: Data were obtained from embryos generated in standard IVF and ICSI cycles. The Eeva system was used for embryo assessment, based on early morphokinetic parameters and producing a score (1-5, best-worst) corresponding to higher/medium/lower chances of development to blastocyst. miRNAs - mm miR-20a-5p and miR-30c-5p - and sHLA-G were quantified in 25 μl of spent blastocyst media (SBM) collected before vitrification or transfer. Statistical analyses were performed applying Kolmogorov-Smirnov, Shapiro-Wilk, and Spearman's correlation coefficient tests, where appropriate.<br />Results: SBM were collected from a total of 172 viable blastocysts. Their analysis showed that concentration of miR-20a was progressively lower as Eeva score increased and probability of development to blastocyst decreased (P = 0.016). The opposite trend was observed in the case of miR-30c, i.e., concentration was higher as score increased and chances of development to blastocyst decreased (P = 0.004). Analysis of sHLA-G revealed a negative correlation with Eeva score, i.e., levels were progressively lower as Eeva score increased and probability of development to blastocyst decreased (R = - 0.388, N = 141, P = 0.001).<br />Conclusion: Our data suggest that morphokinetic algorithms that predict development to blastocyst stage, in fact, also identify embryos with molecular and cellular profiles more consistent with developmental functions.<br /> (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Details

Language :
English
ISSN :
1573-7330
Volume :
38
Issue :
7
Database :
MEDLINE
Journal :
Journal of assisted reproduction and genetics
Publication Type :
Academic Journal
Accession number :
33821429
Full Text :
https://doi.org/10.1007/s10815-021-02162-9