Deep, Unbiased, and Quantitative Mass Spectrometry-Based Plasma Proteome Analysis of Individual Responses to mRNA COVID-19 Vaccine
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.
Authors
- Lucélia Santi (ORCID: https://orcid.org/0000-0002-5698-7006)
- Daniel Hornburg (ORCID: https://orcid.org/0000-0002-6618-7774)
- Khatereh Motamedchaboki
- Walter O. Beys‐da‐Silva (ORCID: https://orcid.org/0000-0001-8329-7839)
- Svetlana Maurya (ORCID: https://orcid.org/0000-0002-4700-2711)
- Alexey Stukalov (ORCID: https://orcid.org/0000-0002-4981-8124)
- Alex Campos
- Jian Wang (ORCID: https://orcid.org/0000-0003-1177-651X)
- Camila Innocente-Alves
- Yohana P. Calegari-Alves
- Laura R. Saciloto-de-Oliveira
- Ramón Díaz (ORCID: https://orcid.org/0000-0001-8732-462X)
- Ting Huang (ORCID: https://orcid.org/0000-0003-1041-2167)
- Serafim Batzoglou (ORCID: https://orcid.org/0009-0009-1513-8452)
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
- University of Rio Grande and Rio Grande Community College (US)
Publication Details
- Journal
- Journal of Proteome Research
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1021/acs.jproteome.4c00909
- Citations
- 2
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 2.79