Publicación

Endometrial transcriptome analysis indicates superiority of natural over artificial cycles in recurrent implantation failure patients undergoing frozen embryo transfer

  • REPRODUCTIVE BIOMEDICINE ONLINE
  • Autores
    Altmae, S; Tamm-Rosenstein, K; Esteban, FJ; Simm, J; Kolberg, L; Peterson, H; Metsis, M; Haldre, K; Horcajadas, JA; Salumets, A; Stavreus-Evers, A
  • Año Publicación
    2016
  • Volumen
    32
  • Número
    6
  • Pág. Inicio
    597
  • Pág. Fin
    613
  • Pág. Fin
    597
Referencia Citadas
90
Citas Web of Science
14
Total de veces citado (Z9)
14
Recuento Uso 5 años
8

Little consensus has been reached on the best protocol for endometrial preparation for frozen embryo transfer (FET). It is not known how, and to what extent, hormone supplementation in artificial cycles influences endometrial preparation for embryo implantation at a molecular level, especially in patients who have experienced recurrent implantation failure. Transcriptome analysis of 15 endometrial biopsy samples at the time of embryo implantation was used to compare two different endometrial preparation protocols, natural versus artificial cycles, for FET in women who have experienced recurrent implantation failure compared with fertile women. IPA and DAVID were used for functional analyses of differentially expressed genes. The TRANSFAC database was used to identify oestrogen and progesterone response elements upstream of differentially expressed genes. Cluster analysis demonstrated that natural cycles are associated with a better endometrial receptivity transcriptome than artificial cycles. Artificial cycles seemed to have a stronger negative effect on expression of genes and pathways crucial for endometrial receptivity, including ESR2, FSHR, LEP, and several interleukins and matrix metalloproteinases. Significant overrepresentation of oestrogen response elements among the genes with deteriorated expression in artificial cycles (P < 0.001) was found; progesterone response elements predominated in genes with amended expression with artificial cycles (P = 0.0052). (C) 2016 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.


Web financiada por la Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades, Fondo Europeo de Desarrollo Regional (FEDER), proyecto SOMM17/6107/UG

Web financiada por la Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades, Fondo Europeo de Desarrollo Regional (FEDER), proyecto SOMM17/6107/UGR