Zhang Yijing, He Chenyan, He Yuedong, Zhu Zhongyi
Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Reprod Sci. 2025 Apr;32(4):921-934. doi: 10.1007/s43032-024-01664-y. Epub 2024 Aug 1.
Infertility affects approximately 15% of couples at child-bearing ages and assisted reproductive technologies (ART), especially in vitro fertilization and embryo transfer (IVF-ET), provided infertile patients with an effective solution. The current paradox is that multiple embryo transfer that may leads to severe obstetric and perinatal complications seems to be the most valid measure to secure high success rate in the majority of clinic centers. Therefore, to avoid multiple transfer of embryos, it is urgent to explore biomarkers for IVF prognosis to select high-quality oocytes and embryos. Follicular fluid (FF), a typical biofluid constituted of the plasma effusion and granulosa-cell secretion, provides essential intracellular substances for oocytes maturation and its variation in composition reflects oocyte developmental competence and embryo viability. With the advances in metabolomics methodology, metabolomics, as an accurate and sensitive analyzing method, has been utilized to explore predictors in FF for ART success. Although FF metabolomics has provided a great possibility for screening markers with diagnostic and predictive value, its effectiveness is still doubted by some researchers. This may be resulted from the ignorance of the impact of sterility causes on the FF metabolomic profiles and thus its predictive ability might not be rightly illustrated. Therefore, in this review, we categorically demonstrate the study of FF metabolomics according to specific infertility causes, expecting to reveal the predicting value of metabolomics for IVF outcomes.
不孕症影响着约15%的育龄夫妇,辅助生殖技术(ART),尤其是体外受精和胚胎移植(IVF-ET),为不孕患者提供了一种有效的解决方案。目前的矛盾在于,可能导致严重产科和围产期并发症的多胚胎移植似乎是大多数临床中心确保高成功率的最有效措施。因此,为避免胚胎多胎移植,迫切需要探索用于IVF预后的生物标志物,以选择高质量的卵母细胞和胚胎。卵泡液(FF)是一种由血浆渗出液和颗粒细胞分泌物组成的典型生物流体,为卵母细胞成熟提供必需的细胞内物质,其成分变化反映卵母细胞的发育能力和胚胎活力。随着代谢组学方法的进步,代谢组学作为一种准确而灵敏的分析方法,已被用于探索FF中预测ART成功的指标。尽管FF代谢组学为筛选具有诊断和预测价值的标志物提供了很大可能性,但其有效性仍受到一些研究人员的质疑。这可能是由于忽视了不育原因对FF代谢组学谱的影响,因此其预测能力可能没有得到正确阐释。因此,在本综述中,我们根据特定的不孕原因对FF代谢组学研究进行了分类阐述,期望揭示代谢组学对IVF结局的预测价值。