Edinburgh Assisted Conception Programme, EFREC, Royal Infirmary of Edinburgh, Edinburgh, UK.
Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI,USA.
Biol Reprod. 2022 Feb 22;106(2):274-290. doi: 10.1093/biolre/ioac009.
Oocyte quality is perhaps the most important limiting factor in female fertility; however, the current methods of determining oocyte competence are only marginally capable of predicting a successful pregnancy. We aim to review the predictive value of non-invasive techniques for the assessment of human oocytes and their related cells and biofluids that pertain to their developmental competence. Investigation of the proteome, transcriptome, and hormonal makeup of follicular fluid, as well as cumulus-oocyte complexes are currently underway; however, prospective randomized non-selection-controlled trials of the future are needed before determining their prognostic value. The biological significance of polar body morphology and genetics are still unknown and the subject of debate. The predictive utility of zygotic viscoelasticity for embryo development has been demonstrated, but similar studies performed on oocytes have yet to be conducted. Metabolic profiling of culture media using human oocytes are also limited and may require integration of automated, high-throughput targeted metabolomic assessments in real time with microfluidic platforms. Light exposure to oocytes can be detrimental to subsequent development and utilization of time-lapse imaging and morphometrics of oocytes is wanting. Polarized light, Raman microspectroscopy, and coherent anti-Stokes Raman scattering are a few novel imaging tools that may play a more important role in future oocyte assessment. Ultimately, the integration of chemistry, genomics, microfluidics, microscopy, physics, and other biomedical engineering technologies into the basic studies of oocyte biology, and in testing and perfecting practical solutions of oocyte evaluation, are the future for non-invasive assessment of oocytes.
卵子质量可能是女性生育能力的最重要限制因素;然而,目前确定卵子能力的方法只能勉强预测成功妊娠。我们旨在回顾评估人类卵子及其相关细胞和生物流体的发育能力的非侵入性技术的预测价值。目前正在研究卵泡液的蛋白质组、转录组和激素组成,以及卵丘-卵母细胞复合物;然而,在确定其预后价值之前,需要进行未来前瞻性随机非选择对照试验。极体形态和遗传学的生物学意义尚不清楚,这也是一个争议的话题。胚胎发育的合子粘弹性的预测效用已经得到证实,但尚未对卵子进行类似的研究。使用人类卵子对培养基进行代谢分析也受到限制,可能需要将自动化、高通量靶向代谢组学评估实时集成到微流控平台中。卵子暴露在光线下可能对随后的发育有害,并且对卵子的延时成像和形态计量学的利用也不足。偏振光、拉曼微光谱和相干反斯托克斯拉曼散射是一些新的成像工具,它们可能在未来的卵子评估中发挥更重要的作用。最终,将化学、基因组学、微流控、显微镜、物理学和其他生物医学工程技术整合到卵子生物学的基础研究中,并在测试和完善卵子评估的实际解决方案中,是卵子非侵入性评估的未来。