Identifying biomarkers for predicting successful embryo implantation: applying single to multi-OMICs to improve reproductive outcomes.

Autores de IIS La Fe

• Purificación Hernández Vargas

  Autor

• Manuel Alberto Muñoz Cantero

  Autor

• Francisco Domínguez Hernández

  Autor

Grupos

• Biología Reproductiva y Bioingeniería en Reproducción Humana

  

  Leader

  Nicolás Garrido Puchalt

• Biomarcadores, Medicina Genómica, Estadística y Análisis masivo de datos en Reproducción humana asistida

  

  Investigador Principal

  Marcos Meseguer Escrivá

• Endocrinología Reproductiva e Infertilidad

  Leader

  José Remohí Giménez

Abstract

Successful embryo implantation is a complex process that requires the coordination of a series of events, involving both the embryo and the maternal endometrium. Key to this process is the intricate cascade of molecular mechanisms regulated by endocrine, paracrine and autocrine modulators of embryonic and maternal origin. Despite significant progress in ART, implantation failure still affects numerous infertile couples worldwide and fewer than 10% of embryos successfully implant. Improved selection of both the viable embryos and the optimal endometrial phenotype for transfer remains crucial to enhancing implantation chances. However, both classical morphological embryo selection and new strategies incorporated into clinical practice, such as embryonic genetic analysis, morphokinetics or ultrasound endometrial dating, remain insufficient to predict successful implantation. Additionally, no techniques are widely applied to analyse molecular signals involved in the embryo-uterine interaction. More reliable biological markers to predict embryo and uterine reproductive competence are needed to improve pregnancy outcomes. Recent years have seen a trend towards 'omics' methods, which enable the assessment of complete endometrial and embryonic molecular profiles during implantation. Omics have advanced our knowledge of the implantation process, identifying potential but rarely implemented biomarkers of successful implantation.

Keywords

• biomarkers, embryo viability, endometrial receptivity, epigenomics, genomics, implantation, integrative models, metabolomics, proteomics, transcriptomics