Assidi Mourad, Montag Markus, Sirard Marc-André
BMC Genomics. 2015;16 Suppl 1(Suppl 1):S9. doi: 10.1186/1471-2164-16-S1-S9. Epub 2015 Jan 15.
Selection of the best oocyte for subsequent steps of fertilization and embryo transfer was shown to be the crucial step in human infertility treatment procedure. Oocyte selection using morphological criteria mainly Zona pellucida (ZP) has been the gold standard method in assisted reproductive technologies (ART) clinics, but this selection approach has limitations in terms of accuracy, objectivity and constancy. Recent studies using OMICs-based approaches have allowed the identification of key molecular markers that quantitatively and non-invasively predict the oocyte quality for higher pregnancy rates and efficient infertility treatment. These biomarkers are a valuable reinforcement of the morphological selection criteria widely used in in vitro fertilization (IVF) clinics. In this context, this study was designed to investigate the relationship between transcriptomic predictors of oocyte quality found by our group and the conventional morphological parameters of oocyte quality mainly the ZP birefringence.
Microarray data revealed that 48 and 27 differentially expressed candidate genes in cumulus cells (CCs) were respectively overexpressed and underexpressed in the ZGP (Zona Good Pregnant) versus ZBNP (Zona Bad Non Pregnant) groups. More than 70% of previously reported transcriptomic biomarkers of oocyte developmental competence were confirmed in this study. The analysis of possible association between ZP birefringence versus molecular markers approach showed an absence of correlation between them using the current set of markers.
This study suggested a new integrative approach that matches morphological and molecular approaches used to select developmentally competent oocytes able to lead to successful pregnancy and the delivery of healthy baby. For each ZP birefringence score, oocytes displayed a particular CCs' gene expression pattern. However, no correlations were found between the 7 gene biomarkers of oocyte developmental potential and the ZP birefringence score. Further studies using larger lists of candidate markers are required to identify suitable genes that are highly correlated with the morphological criteria, and therefore able to reinforce the accuracy of oocyte selection and the effectiveness of infertility treatment.
选择最佳卵母细胞用于后续的受精和胚胎移植步骤被证明是人类不孕症治疗过程中的关键步骤。在辅助生殖技术(ART)诊所中,使用形态学标准(主要是透明带(ZP))进行卵母细胞选择一直是金标准方法,但这种选择方法在准确性、客观性和稳定性方面存在局限性。最近基于组学的研究方法已经能够识别关键分子标志物,这些标志物可以定量且无创地预测卵母细胞质量,以提高妊娠率并实现高效的不孕症治疗。这些生物标志物是对体外受精(IVF)诊所广泛使用的形态学选择标准的有价值补充。在此背景下,本研究旨在探讨我们团队发现的卵母细胞质量转录组预测指标与卵母细胞质量的传统形态学参数(主要是ZP双折射)之间的关系。
微阵列数据显示,与ZP双折射良好组(ZGP)相比,ZP双折射不良组(ZBNP)中,卵丘细胞(CCs)中有48个差异表达的候选基因上调,27个差异表达的候选基因下调。本研究证实了超过70%先前报道的卵母细胞发育能力的转录组生物标志物。ZP双折射与分子标志物方法之间可能的关联分析表明,使用当前的标志物集,它们之间不存在相关性。
本研究提出了一种新的综合方法,该方法将用于选择具有发育能力、能够实现成功妊娠并分娩健康婴儿的卵母细胞的形态学和分子方法相结合。对于每个ZP双折射评分,卵母细胞都表现出特定的CCs基因表达模式。然而,在卵母细胞发育潜力的7个基因生物标志物与ZP双折射评分之间未发现相关性。需要使用更多候选标志物列表进行进一步研究,以确定与形态学标准高度相关的合适基因,从而提高卵母细胞选择的准确性和不孕症治疗的有效性。