Centre for Children's Health Research (CCHR), Queensland University of Technology (QUT), 62 Graham Street, South Brisbane, Queensland 4101, Australia.
DairyNZ Limited, Private Bag 3221, Hamilton 3240, New Zealand.
J Proteome Res. 2023 Nov 3;22(11):3580-3595. doi: 10.1021/acs.jproteome.3c00406. Epub 2023 Oct 13.
The development of biomarkers of fertility could provide benefits for the genetic improvement of dairy cows. Circulating small extracellular vesicles (sEVs) show promise as diagnostic or prognostic markers since their cargo reflects the metabolic state of the cell of origin; thus, they mirror the physiological status of the host. Here, we employed data-independent acquisition mass spectrometry to survey the plasma and plasma sEV proteomes of two different cohorts of Young (Peripubertal; = 30) and Aged (Primiparous; = 20) dairy cows () of high- and low-genetic merit of fertility and known pregnancy outcomes (ProteomeXchange data set identifier PXD042891). We established predictive models of fertility status with an area under the curve of 0.97 (sEV; value = 3.302e-07) and 0.95 (plasma; value = 6.405e-08). Biomarker candidates unique to high-fertility Young cattle had a sensitivity of 0.77 and specificity of 0.67 (* = 0.0287). Low-fertility biomarker candidates uniquely identified in sEVs from Young and Aged cattle had a sensitivity and specificity of 0.69 and 1.0, respectively (*** = 0.0005). Our bioinformatics pipeline enabled quantification of plasma and circulating sEV proteins associated with fertility phenotype. Further investigations are warranted to validate this research in a larger population, which may lead to improved classification of fertility status in cattle.
生育生物标志物的发展可为奶牛的遗传改良带来益处。循环的小型细胞外囊泡 (sEV) 作为诊断或预后标志物具有广阔的前景,因为其内容物反映了来源细胞的代谢状态;因此,它们反映了宿主的生理状态。在这里,我们采用非依赖性采集质谱法对两个不同队列的青年(围产期;n = 30)和老年(初产;n = 20)奶牛的血浆和血浆 sEV 蛋白质组进行了调查()。这些奶牛具有高和低生育遗传优势,且妊娠结局已知(ProteomeXchange 数据集标识符 PXD042891)。我们建立了生育状态的预测模型,sEV 的曲线下面积为 0.97( 值 = 3.302e-07),血浆的曲线下面积为 0.95( 值 = 6.405e-08)。仅在高生育力青年牛中发现的生物标志物候选物的敏感性为 0.77,特异性为 0.67(* = 0.0287)。在青年和老年牛的 sEV 中唯一鉴定出的低生育力生物标志物候选物的敏感性和特异性分别为 0.69 和 1.0(*** = 0.0005)。我们的生物信息学分析流程可定量分析与生育表型相关的血浆和循环 sEV 蛋白。需要进一步的研究来验证本研究在更大人群中的效果,这可能会提高牛的生育能力的分类。