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
Journal of Proteome Research Pub Date : 2025-03-07 Epub Date: 2025-02-04 DOI:10.1021/acs.jproteome.4c00909
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, Lucélia Santi
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引用次数: 0

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.

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运动为世界上很大一部分人口接种了疫苗。利用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不同的,导致疫苗接种效果不同。尽管取得了重大进展,但对驱动个体对COVID-19疫苗免疫反应的分子机制的全面了解仍然难以实现。为了解决这一空白,我们将一种新的基于纳米颗粒的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12名志愿者接种两剂辉瑞- biontech mRNA COVID-19疫苗后蛋白质组学的变化。该优化方案通过利用工程纳米颗粒富集低丰度血浆蛋白,无缝集成了全面的蛋白质组分析和增强的吞吐量。我们的数据证明了该工作流程量化3000多种蛋白质的能力,为COVID-19疫苗相关血浆蛋白质组研究提供了最深入的视角。我们确定了69种蛋白质在第二次接种后反应增强,74种蛋白质在接种疫苗后感染COVID-19的个体和未接种疫苗的个体之间存在差异调节。这些发现对疫苗接种反应的个体差异提供了有价值的见解,证明了个性化医学方法在疫苗开发中的潜力。
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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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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