Integration of proteomics with prospective birth cohort to elucidate early life origins of cardiometabolic diseases: rationale, study design, lab assay, and quality control.

Precision nutrition Pub Date : 2024-09-01 Epub Date: 2024-09-10
Xiumei Hong, Richard Xu, Michael Y Mi, Laurie A Farrell, Guoying Wang, Liming Liang, Robert E Gerszten, Frank B Hu, Xiaobin Wang
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Abstract

There is growing evidence that the plasma proteome provides insights into personal health status at different stages of life. However, limited data are available on high-throughput proteomic studies in pediatric populations, especially, using prospective birth cohorts. We launched a proteomics study in 990 children from a US predominantly urban, low-income, multi-ethnic prospective Boston Birth Cohort (BBC, referred as "BBC proteomics study"), which aimed to leverage proteomics to investigate the biological pathways underlying the link between preterm birth and child long-term cardiometabolic health. The objective of this paper is to describe the rationale, study design, proteomic assay and quality control steps for the BBC proteomics study in a subset of children with available proteomic profiling. Using the OLINK® Explore 3072 platform, proteomic profiling was performed in cord plasma at birth and in postnatal plasma collected during early childhood. Quality control (QC) steps were performed, including calculation of coefficient of variation (CV), missingness rates per sample or per protein, principal component analyses to identify clustering and outliers, and correlation analyses among the duplicates to indicate reproducibility. A total of 2,941 proteins from eight OLINK panels were successfully measured at both time points. Almost 100% of samples passed lab-prespecified QC. Approximately 89% of proteins were detected in > 50% samples; 79.6% had intra-CV < 15% and 79.9% of had inter-CV < 30%. Four samples were identified as outliers due to high missingness rates. Our data also demonstrated that this assay had a good reproducibility with correlation coefficient (r) > 0.65 in most of the duplicates, although we also identified potential batch effects. In conclusion, our data suggests that this high-throughput proteomic profiling is feasible and reproducible in archived plasma samples, including cord blood. We anticipated that successful completion of this proteomics study will help identify novel predictive biomarkers and therapeutic targets so that high-risk newborns can be identified, and effective interventions can be initiated during the earliest developmental window when they may have the greatest life-long benefit.

结合蛋白质组学和前瞻性出生队列来阐明心脏代谢疾病的早期生命起源:理论基础、研究设计、实验室分析和质量控制。
越来越多的证据表明,血浆蛋白质组可以帮助我们了解人生不同阶段的个人健康状况。然而,在儿科人群中进行高通量蛋白质组学研究的数据有限,特别是使用前瞻性出生队列。我们在990名儿童中开展了一项蛋白质组学研究,这些儿童主要来自美国城市、低收入、多种族的前瞻性波士顿出生队列(BBC,称为“BBC蛋白质组学研究”),旨在利用蛋白质组学研究早产与儿童长期心脏代谢健康之间联系的生物学途径。本文的目的是描述的基本原理,研究设计,蛋白质组学分析和质量控制步骤,BBC蛋白质组学研究的一个子集的儿童可用的蛋白质组学分析。使用OLINK®Explore 3072平台,对出生时的脐带血浆和儿童早期收集的产后血浆进行蛋白质组学分析。进行质量控制(QC)步骤,包括计算变异系数(CV),每个样品或每个蛋白质的缺失率,主成分分析以确定聚类和异常值,以及重复之间的相关性分析以表明可重复性。在两个时间点成功测量了来自8个OLINK面板的总共2941个蛋白质。几乎100%的样品通过了实验室预先规定的QC。大约89%的蛋白质在50%的样品中被检测到;79.6%的患者cv内< 15%,79.9%的患者cv间< 30%。由于高缺失率,四个样本被确定为异常值。我们的数据还表明,尽管我们也发现了潜在的批效应,但该方法在大多数重复中具有良好的重复性,相关系数(r)为0.65。总之,我们的数据表明,这种高通量蛋白质组学分析在存档的血浆样本(包括脐带血)中是可行的和可重复的。我们预计,这项蛋白质组学研究的成功完成将有助于确定新的预测性生物标志物和治疗靶点,从而识别高风险新生儿,并在早期发育窗口启动有效的干预措施,这可能会带来最大的终身受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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