ArticleProtein & cell2023
Longitudinal proteomic investigation of COVID-19 vaccination.
Article in Protein & cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Antibody profiling and plasma proteomics in SARS-CoV-2 infection: a pilot study.Scientific reports · 2026Article
- An MIEN1-based hexamer peptide (LA3IK) inhibits EGF-driven oncogenic signaling in prostate cancer by disrupting EGFR-ERBB2 heterodimerization.Scientific reports · 2026Article
- Post-booster longitudinal plasma proteomic changes following BNT162b2 COVID-19 vaccination in Qatar.Frontiers in immunology · 2026Article
- Proteomic landscapes of post-COVID condition: biomarkers and translational pathways.Frontiers in immunology · 2026Review
- GABP Promotes Mesangial Cell Proliferation and Renal Fibrosis Through GLI1 in Diabetic Nephropathy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Proteome analysis develops novel plasma proteins classifier in predicting the mortality of COVID-19.Cell proliferation · 2024Article
- Proteomic and serologic assessments of responses to mRNA-1273 and BNT162b2 vaccines in human recipient sera.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the development of COVID-19 vaccines has been a remarkable success, the heterogeneous individual antibody generation and decline over time are unknown and still hard to predict. In this study, blood samples were collected from 163 participants who next received two doses of an inactivated COVID-19 vaccine (CoronaVac®) at a 28-day interval. Using TMT-based proteomics, we identified 1,715 serum and 7,342 peripheral blood mononuclear cells (PBMCs) proteins. We proposed two sets of potential biomarkers (seven from serum, five from PBMCs) at baseline using machine learning, and predicted the individual seropositivity 57 days after vaccination (AUC = 0.87). Based on the four PBMC's potential biomarkers, we predicted the antibody persistence until 180 days after vaccination (AUC = 0.79). Our data highlighted characteristic hematological host responses, including altered lymphocyte migration regulation, neutrophil degranulation, and humoral immune response. This study proposed potential blood-derived protein biomarkers before vaccination for predicting heterogeneous antibody generation and decline after COVID-19 vaccination, shedding light on immunization mechanisms and individual booster shot planning.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.