ArticleInternational journal of biological sciences2022
Serological responses to human virome define clinical outcomes of Italian patients infected with SARS-CoV-2.
Article in International journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Pan-microbial serological repertoire as a biomarker of immunotherapy response in hepatocellular carcinoma.Journal for immunotherapy of cancer · 2025Article
- Massively-multiplexed epitope mapping techniques for viral antigen discovery.Frontiers in immunology · 2023Review
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- Predicting COVID-19 Severity with a Specific Nucleocapsid Antibody plus Disease Risk Factor Score.mSphere · 2021Article
- Metagenomics Approaches to Investigate the Gut Microbiome of COVID-19 Patients.Bioinformatics and biology insights · 2021Review
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23 authors at 7 institutions in 2 countries.
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Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the pandemic respiratory infectious disease COVID-19. However, clinical manifestations and outcomes differ significantly among COVID-19 patients, ranging from asymptomatic to extremely severe, and it remains unclear what drives these disparities. Here, we studied 159 sequentially enrolled hospitalized patients with COVID-19-associated pneumonia from Brescia, Italy using the VirScan phage-display method to characterize circulating antibodies binding to 96,179 viral peptides encoded by 1,276 strains of human viruses. SARS-CoV-2 infection was associated with a marked increase in immune antibody repertoires against many known pathogenic and non-pathogenic human viruses. This antiviral antibody response was linked to longitudinal trajectories of disease severity and was further confirmed in additional 125 COVID-19 patients from the same geographical region in Northern Italy. By applying a machine-learning-based strategy, a viral exposure signature predictive of COVID-19-related disease severity linked to patient survival was developed and validated. These results provide a basis for understanding the role of memory B-cell repertoire to viral epitopes in COVID-19-related symptoms and suggest that a unique anti-viral antibody repertoire signature may be useful to define COVID-19 clinical severity.
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Registered trials
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