CE17 - Recherche translationnelle en santé

Improving IVF through integration of morphological and molecular analyses – BOOSTIVF

Submission summary

As In Vitro Fertilization (IVF) success rate is limited, it is crucial to improve IVF outcome by gaining better knowledge on embryo quality assessment. As morphology is poorly predictive of implantation, the identification of non-invasive markers of embryo quality is a relevant strategy, such as combination of time-lapse and secretomics considered here. Our team already obtained preliminary results that support this project, i.e. automated morphokinetic annotation tool and human early embryo transcriptome converted into virtual secretome. The main objectives of this 48 months project are (i) improving our automated system for new unsupervised morphokinetic analysis (ii) using our transcriptomic pseudotime model to unravel signaling cues active during human preimplantation development (iii) validating biomarkers identified in the blastocyst secretome with MRM-based proteomic approach. The expected identification of predictive biomarkers aims at improving pregnancy rate in IVF cycles.

Project coordination

THOMAS FREOUR (Centre de Recherche en Transplantation et Immunologie)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


CRTI Centre de Recherche en Transplantation et Immunologie

Help of the ANR 245,399 euros
Beginning and duration of the scientific project: December 2020 - 48 Months

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