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Bioinformatic identification of euploid and aneuploid embryo secretome signatures in IVF culture media based on MALDI-ToF mass spectrometry

Authors :
Ray K. Iles
Fady I. Sharara
Ricardo J. Pais
Sholeh Keshavarz
Raminta Zmuidinaite
Stephen A. Butler
Source :
J Assist Reprod Genet
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

PURPOSE: Embryo genotyping in IVF clinics aims to identify aneuploid embryos, and current methodologies rely on costly, invasive and time-consuming approaches such as PGT-A screening. MALDI-ToF-based mass spectral analysis of embryo culture has been demonstrated to be a non-invasive, affordable and accurate technique that is able to capture secretome profiles from embryo culture media extremely quick. Thus, aneuploid embryo genotypes can be distinguished from euploids from these profiles towards the development of novel embryo selection tools. METHODS: A retrospective cohort study, including 292 spent media samples from embryo cultures collected from a single IVF clinic in USA. There were 149 euploid and 165 aneuploid embryos previously analysed by PGT-A next-generation sequencing techniques. Secretome mass spectra of embryos were generated using MALDI-ToF mass spectrometry in the UK. Data was systematically analysed using a fully automated and ultra-fast bioinformatic pipeline developed for the identification of mass spectral signatures. RESULTS: Distinct spectral patterns were found for euploid and aneuploid genotypes in embryo culture media. We identified 12 characteristic peak signatures for euploid and 17 for aneuploid embryos. Data analysis also revealed a high degree of complementarity among regions showing that 22 regions are required to differentiate between genotypes with a sensitivity of 84% and a false positive rate of 18%. CONCLUSION: Ultra-fast and fully automated screening of an embryo genotype is possible based on multiple combinations of specific mass spectral peak signatures. This constitutes a breakthrough towards the implementation of non-invasive and ultra-fast tools for embryo selection immediately prior to transfer.

Details

ISSN :
15737330 and 10580468
Volume :
37
Database :
OpenAIRE
Journal :
Journal of Assisted Reproduction and Genetics
Accession number :
edsair.doi.dedup.....bd1918bc42e40e6c3a7a70c2b966ff70
Full Text :
https://doi.org/10.1007/s10815-020-01890-8