Styliani Galatidou, Aleksandra A Petelski, Aïda Pujol, Karinna Lattes, Lais B Latorraca, Trudee Fair, Mina Popovic, Rita Vassena, Nikolai Slavov, Montserrat Barragán
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引用次数: 0
Abstract
Advanced maternal age is associated with a decline in oocyte quality, which often leads to reproductive failure in humans. However, the mechanisms behind this age-related decline remain unclear. To gain insights into this phenomenon, we applied plexDIA, a multiplexed data-independent acquisition, single-cell mass spectrometry method, to analyze the proteome of oocytes from both young women and women of advanced maternal age. Our findings primarily revealed distinct proteomic profiles between immature fully grown germinal vesicle and mature metaphase II oocytes. Importantly, we further show that a woman's age is associated with changes in her oocyte proteome. Specifically, when compared to oocytes obtained from young women, advanced maternal age oocytes exhibited lower levels of the proteasome and TRiC complex, as well as other key regulators of proteostasis and meiosis. This suggests that aging adversely affects the proteostasis and meiosis networks in human oocytes. The proteins identified in this study hold potential as targets for improving oocyte quality and may guide future studies into the molecular processes underlying oocyte aging.
高龄产妇与卵母细胞质量下降有关,而卵母细胞质量下降往往会导致人类生殖失败。然而,这种与年龄相关的下降背后的机制仍不清楚。为了深入了解这一现象,我们采用了一种多重数据采集、单细胞质谱方法 plexDIA,分析了年轻女性和高龄产妇卵母细胞的蛋白质组。我们的研究结果主要揭示了未成熟的完全生长生殖泡和成熟的分裂期 II 卵母细胞之间不同的蛋白质组特征。重要的是,我们进一步发现,女性的年龄与其卵母细胞蛋白质组的变化有关。具体来说,与年轻女性的卵母细胞相比,高龄产妇的卵母细胞中蛋白酶体、TRiC 复合物以及蛋白稳态和减数分裂的其他关键调控因子水平较低。这表明,衰老会对人类卵母细胞的蛋白稳态和减数分裂网络产生不利影响。本研究发现的蛋白质有可能成为提高卵母细胞质量的靶标,并可指导今后对卵母细胞衰老的分子过程进行研究。
期刊介绍:
MHR publishes original research reports, commentaries and reviews on topics in the basic science of reproduction, including: reproductive tract physiology and pathology; gonad function and gametogenesis; fertilization; embryo development; implantation; and pregnancy and parturition. Irrespective of the study subject, research papers should have a mechanistic aspect.