Follicular Fluid Metabolomics: Tool for Predicting IVF Outcomes of Different Infertility Causes.

IF 2.6 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Reproductive Sciences Pub Date : 2025-04-01 Epub Date: 2024-08-01 DOI:10.1007/s43032-024-01664-y
Yijing Zhang, Chenyan He, Yuedong He, Zhongyi Zhu
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Abstract

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.

Abstract Image

卵泡液代谢组学:预测不同不孕原因的试管婴儿结果的工具。
约有 15%的育龄夫妇患有不孕症,辅助生殖技术(ART),尤其是体外受精和胚胎移植(IVF-ET)为不孕症患者提供了有效的解决方案。目前的悖论是,可能导致严重产科和围产期并发症的多次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,为了避免胚胎的多次移植,迫切需要探索试管婴儿预后的生物标志物,以筛选出高质量的卵母细胞和胚胎。卵泡液(FF)是一种典型的生物流体,由血浆渗出物和颗粒细胞分泌物构成,为卵母细胞成熟提供了必要的细胞内物质,其成分变化反映了卵母细胞的发育能力和胚胎存活率。随着代谢组学方法的不断进步,代谢组学作为一种准确、灵敏的分析方法,已被用于探索预测FF ART成功的因素。虽然 FF 代谢组学为筛选具有诊断和预测价值的标记物提供了极大的可能性,但其有效性仍受到一些研究人员的质疑。这可能是由于不了解不育原因对 FF 代谢组学特征的影响,因此可能无法正确说明其预测能力。因此,在这篇综述中,我们根据具体的不孕原因分类展示了FF代谢组学的研究,期望揭示代谢组学对试管婴儿结果的预测价值。
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来源期刊
Reproductive Sciences
Reproductive Sciences 医学-妇产科学
CiteScore
5.50
自引率
3.40%
发文量
322
审稿时长
4-8 weeks
期刊介绍: Reproductive Sciences (RS) is a peer-reviewed, monthly journal publishing original research and reviews in obstetrics and gynecology. RS is multi-disciplinary and includes research in basic reproductive biology and medicine, maternal-fetal medicine, obstetrics, gynecology, reproductive endocrinology, urogynecology, fertility/infertility, embryology, gynecologic/reproductive oncology, developmental biology, stem cell research, molecular/cellular biology and other related fields.
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