Études des marqueurs de compétence exprimés dans les cellules folliculaires afin d'améliorer l'évaluation de la qualité des ovules chez l'humain
|Advisor:||Sirard, Marc-André; Robert, Claude|
|Abstract:||Embryo selection efficiency for single embryo transfer in human fertility treatment is still impaired by low pregnancy rates because evaluation methods based on embryo morphology for predicting embryo quality have significant limitations. To overcome this situation, usually more than one embryo are transferred in patient, leading to high risk of multiple pregnancies associated with important health risk to both mother and child. Therefore, the development of an accurate method to select high quality embryos is essential to achieve high pregnancy rates with single embryo transfer. Tight communication exists between the follicular cells (FCs) and the oocyte during follicle maturation to achieve developmental competence. In this way, markers in the surrounding FCs could determine oocyte developmental competence. In this work, we have identified 10 potential FCs markers involved in oocyte developmental competence. Five markers, 3βHSD1, FDX1, SERPINE2, CYP19A and CDC42 were significantly more expressed in pooled samples of FCs associated to an embryo leading to a pregnancy compared to FCs from embryos with failure in their development. In individual patients presenting both embryo with pregnancy results and embryo with failure in its development, we have identified four markers, PGK1, RGS2, RGS3 and again CDC42 associated to pregnancy results. The best predictors for ongoing pregnancy were PGK1 and RGS2. Finally, four markers, PHLDA1, UGP2 and again PGK1 and CDC42 were associated to pregnancy outcome in FCs related to follicles associated with good morphological transferred embryos with or without pregnancy results. Most of these markers could be related to granulosa luteinisation process. The identification of these markers of follicular competence paves the way on a possible application in fertility clinic in order to improve embryo selection in human assisted reproduction. The development of a predictive model based on FCs gene expression and embryo morphology evaluation could be useful to select in a same patient the most promising embryo to give a pregnancy.|
|Document Type:||Thèse de doctorat|
|Open Access Date:||16 April 2018|
|Collection:||Thèses et mémoires|
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