Deep, Unbiased, and Quantitative Mass Spectrometry-Based Plasma Proteome Analysis of Individual Responses to mRNA COVID-19 Vaccine

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Ting Huang, Alex Rosa Campos, Jian Wang, Alexey Stukalov, Ramón Díaz, Svetlana Maurya, Khatereh Motamedchaboki, Daniel Hornburg, Laura R. Saciloto-de-Oliveira, Camila Innocente-Alves, Yohana P. Calegari-Alves, Serafim Batzoglou, Walter O. Beys-da-Silva and Lucélia Santi*, 
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Abstract

Global campaign against COVID-19 have vaccinated a significant portion of the world population in recent years. Combating the COVID-19 pandemic with mRNA vaccines played a pivotal role in the global immunization effort. However, individual responses to a vaccine are diverse and lead to varying vaccination efficacy. Despite significant progress, a complete understanding of the molecular mechanisms driving the individual immune response to the COVID-19 vaccine remains elusive. To address this gap, we combined a novel nanoparticle-based proteomic workflow with tandem mass tag (TMT) labeling, to quantitatively assess the proteomic changes in a cohort of 12 volunteers following two doses of the Pfizer-BioNTech mRNA COVID-19 vaccine. This optimized protocol seamlessly integrates comprehensive proteome analysis with enhanced throughput by leveraging the enrichment of low-abundant plasma proteins by engineered nanoparticles. Our data demonstrate the ability of this workflow to quantify over 3,000 proteins, providing the deepest view into COVID-19 vaccine-related plasma proteome study. We identified 69 proteins with boosted responses post-second dose and 74 proteins differentially regulated between individuals who contracted COVID-19 despite vaccination and those who did not. These findings offer valuable insights into individual variability in response to vaccination, demonstrating the potential of personalized medicine approaches in vaccine development.

Abstract Image

基于深度、无偏和定量质谱的个体对mRNA - COVID-19疫苗反应的血浆蛋白质组分析
近年来,全球抗击 COVID-19 的运动已为全球大部分人口接种了疫苗。使用 mRNA 疫苗抗击 COVID-19 大流行在全球免疫工作中发挥了关键作用。然而,个体对疫苗的反应是多种多样的,导致疫苗接种效果各不相同。尽管取得了重大进展,但对驱动个体对 COVID-19 疫苗产生免疫反应的分子机制的全面了解仍然遥遥无期。为了填补这一空白,我们将基于纳米粒子的新型蛋白质组学工作流程与串联质量标签 (TMT) 标记相结合,定量评估了 12 名志愿者在接种两剂辉瑞-生物技术公司 mRNA COVID-19 疫苗后的蛋白质组学变化。这一优化方案通过利用工程纳米颗粒富集低丰度血浆蛋白,将全面的蛋白质组分析与更高的通量无缝整合在一起。我们的数据证明了这一工作流程量化 3000 多种蛋白质的能力,为 COVID-19 疫苗相关的血浆蛋白质组研究提供了最深入的视角。我们发现了69种蛋白质在接种第二剂后反应增强,74种蛋白质在接种COVID-19疫苗后感染COVID-19和未感染COVID-19的个体之间存在差异调节。这些发现为了解疫苗接种反应的个体差异提供了宝贵的见解,展示了个性化医学方法在疫苗开发中的潜力。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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