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母体驱动蛋白运动结构域中的遗传变异会过早增加卵子非整倍体。

Maternal genetic variants in kinesin motor domains prematurely increase egg aneuploidy.

机构信息

Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854.

Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ 08854.

出版信息

Proc Natl Acad Sci U S A. 2024 Nov 5;121(45):e2414963121. doi: 10.1073/pnas.2414963121. Epub 2024 Oct 30.

Abstract

The female reproductive lifespan is highly dependent on egg quality, especially the presence of a normal number of chromosomes in an egg, known as euploidy. Mistakes in meiosis leading to egg aneuploidy are frequent in humans. Yet, knowledge of the precise genetic landscape that causes egg aneuploidy in women is limited, as phenotypic data on the frequency of human egg aneuploidy are difficult to obtain and therefore absent in public genetic datasets. Here, we identify genetic determinants of reproductive aging via egg aneuploidy in women using a biobank of individual maternal exomes linked with maternal age and embryonic aneuploidy data. Using the exome data, we identified 404 genes bearing variants enriched in individuals with pathologically elevated egg aneuploidy rates. Analysis of the gene ontology and protein-protein interaction network implicated genes encoding the kinesin protein family in egg aneuploidy. We interrogate the causal relationship of the human variants within candidate kinesin genes via experimental perturbations and demonstrate that motor domain variants increase aneuploidy in mouse oocytes. Finally, using a knock-in mouse model, we validate that a specific variant in kinesin KIF18A accelerates reproductive aging and diminishes fertility. These findings reveal additional functional mechanisms of reproductive aging and shed light on how genetic variation underlies individual heterogeneity in the female reproductive lifespan, which might be leveraged to predict reproductive longevity. Together, these results lay the groundwork for the noninvasive biomarkers for egg quality, a first step toward personalized fertility medicine.

摘要

女性的生殖寿命高度依赖于卵子质量,尤其是卵子中正常数量的染色体,即整倍体。减数分裂过程中的错误导致卵子非整倍体在人类中很常见。然而,导致女性卵子非整倍体的确切遗传背景的知识有限,因为关于人类卵子非整倍体频率的表型数据难以获得,因此在公共遗传数据集中不存在。在这里,我们通过个体母体外显子与母体年龄和胚胎非整倍体数据相关联的生物库,利用女性卵子非整倍体来鉴定生殖衰老的遗传决定因素。利用外显子数据,我们鉴定了 404 个基因,这些基因携带的变异在病理性升高的卵子非整倍体率个体中富集。对基因本体和蛋白质-蛋白质相互作用网络的分析表明,编码驱动蛋白家族的基因与卵子非整倍体有关。我们通过实验干扰来探究候选驱动蛋白基因内的人类变异的因果关系,并证明马达结构域变异会增加小鼠卵母细胞的非整倍体率。最后,使用敲入小鼠模型,我们验证了驱动蛋白 KIF18A 中的特定变异会加速生殖衰老并降低生育能力。这些发现揭示了生殖衰老的其他功能机制,并阐明了遗传变异如何构成女性生殖寿命的个体异质性的基础,这可能被用来预测生殖寿命。总之,这些结果为卵子质量的非侵入性生物标志物奠定了基础,这是个性化生育医学的第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94ff/11551467/bff64f40c66e/pnas.2414963121fig01.jpg

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