INVESTIGADORES
RAMHORST Rosanna Elizabeth
congresos y reuniones científicas
Título:
TREnd: a test for recurrent implantation failure patients detection by qPCR array
Autor/es:
E GRASSO, A MARCIAL, S GORI, V HAUK, L CASTAGNOLA, M IRIGOYEN, A CATTANEO, D GNOCCHI, L TESSARI, ML PISANELLI, C PÉREZ LEIRÓS, R RAMHORST.
Lugar:
Maceio
Reunión:
Congreso; X SLIMP (LatinAmerican Society for Maternal-fetal Interface and Placenta; 2024
Institución organizadora:
LatinAmerican Society for Maternal-fetal Interface and Placenta
Resumen:
TREnd: a test for recurrent implantation failure patients detection by qPCR arrayEsteban Grasso1, Agustina Marcial1, Soledad Gori, 1 Vanesa Hauk1, Lara Castagnola1, Marcela Irigoyen2, Antonio Cattaneo2, Diego Gnocchi2, Lautaro Tessari2, María Laura Pisanelli2, Claudia Pérez Leirós1, Rosanna Ramhorst11 Immunopharmacology Lab., School of Sciences, University of Buenos Aires, Argentina, IQUIBICEN-CONICET2 FERTILIS Medicina Reproductiva, Buenos Aires, Argentina.Objective: It has been reported that up to 25% of women that require assisted reproduction techniques present a displaced WOI. In this sense, multiple tests based on endometrial gene expression have been proposed to detect the WOI and correct the transfer day. Although the efficacy of these test has been proved in recurrent implantation failure (RIF) patients, it is questioned in fertile women. In this work, we aim develop a new complementary test to identify RIF patients by endometrial gene expression, as they will benefit the most of WOI test. Methods:Endometrial biopsies were obtained at secretory phase from 22 RIF patients and 18 fertile women. Two samples of each group were kept for validation while the rest were used for gene expression and model training. The expression of 37 genes, selected from previous reports by their association with receptivity related processes, was evaluated by RT-qPCR and further analyzed by principal component analysis. Random Forest algorithm was used to generate a classification model. Results: A significant modulation in 33 of the evaluated genes was found (p

