Whole-exome sequencing and Drosophila modelling reveal mutated genes and pathways contributing to human ovarian failure

Data de publicació: 04/12/2024

Autors de IIS La Fe

• Ismael Henarejos Castillo

  Autor

• Patricia Sebastián León

  Autor

• José Remohí Giménez

  Autor

• Patricia Díaz Gimeno

  Autor

Autors aliens a IIS La Fe

• Sanz, Francisco Jose
• Solana-Manrique, Cristina
• Medina, Ignacio
• Paricio, Nuria

Grups d'Investigació

• 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

Background Ovarian failure (OF) is a multifactorial, complex disease presented by up to 1% of women under 40 years of age. Despite 90% of patients being diagnosed with idiopathic OF, the underlying molecular mechanisms remain unknown, making it difficult to personalize treatments for these patients in the clinical setting. Studying the presence and/or accumulation of SNVs at the gene/pathway levels will help describe novel genes and characterize disrupted biological pathways linked with ovarian failure. Methods Ad-hoc case-control SNV screening conducted from 2020 to 2023 of 150 VCF files WES data included Spanish IVF patients with (n = 118) and without (n = 32) OF (< 40 years of age; mean BMI 22.78) along with GnomAD (n = 38,947) and IGSR (n = 1,271; 258 European female VCF) data for pseudo-control female populations. SNVs were prioritized according to their predicted deleteriousness, frequency in genomic databases, and proportional differences across populations. A burden test was performed to reveal genes with a higher presence of SNVs in the OF cohort in comparison to control and pseudo-control groups. Systematic in-silico analyses were performed to assess the potential disruptions caused by the mutated genes in relevant biological pathways. Finally, genes with orthologues in Drosophila melanogaster were considered to experimentally validate the potential impediments to ovarian function and reproductive potential. Results Eighteen genes had a higher presence of SNVs in the OF population (FDR < 0.05). AK2, CDC27, CFTR, CTBP2, KMT2C, and MTCH2 were associated with OF for the first time and their silenced/knockout forms reduced fertility in Drosophila. We also predicted the disruption of 29 sub-pathways across four signalling pathways (FDR < 0.05). These sub-pathways included the metaphase to anaphase transition during oocyte meiosis, inflammatory processes related to necroptosis, DNA repair mismatch systems and the MAPK signalling cascade. Conclusions This study sheds light on the underlying molecular mechanisms of OF, providing novel associations for six genes and OF-related infertility, setting a foundation for further biomarker development, and improving precision medicine in infertility.

Keywords

• Ovarian failure; Primary ovarian insufficiency; Ovarian function; Whole-exome sequencing; Single nucleotide variant; Variant prioritization; Functional analysis; Infertility; Human assisted reproduction; Drosophila melanogaster