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https://doi.org/10.1186/s12967-021-02938-8
DC Field | Value | |
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dc.title | Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection | |
dc.contributor.author | Petruccioli, Elisa | |
dc.contributor.author | Najafi Fard, Saeid | |
dc.contributor.author | Navarra, Assunta | |
dc.contributor.author | Petrone, Linda | |
dc.contributor.author | Vanini, Valentina | |
dc.contributor.author | Cuzzi, Gilda | |
dc.contributor.author | Gualano, Gina | |
dc.contributor.author | Pierelli, Luca | |
dc.contributor.author | Bertoletti, Antonio | |
dc.contributor.author | Nicastri, Emanuele | |
dc.contributor.author | Palmieri, Fabrizio | |
dc.contributor.author | Ippolito, Giuseppe | |
dc.contributor.author | Goletti, Delia | |
dc.date.accessioned | 2022-10-12T07:55:29Z | |
dc.date.available | 2022-10-12T07:55:29Z | |
dc.date.issued | 2021-06-26 | |
dc.identifier.citation | Petruccioli, Elisa, Najafi Fard, Saeid, Navarra, Assunta, Petrone, Linda, Vanini, Valentina, Cuzzi, Gilda, Gualano, Gina, Pierelli, Luca, Bertoletti, Antonio, Nicastri, Emanuele, Palmieri, Fabrizio, Ippolito, Giuseppe, Goletti, Delia (2021-06-26). Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection. Journal of Translational Medicine 19 (1) : 272. ScholarBank@NUS Repository. https://doi.org/10.1186/s12967-021-02938-8 | |
dc.identifier.issn | 1479-5876 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/232313 | |
dc.description.abstract | Background: Recent studies proposed the whole-blood based IFN-?-release assay to study the antigen-specific SARS-CoV-2 response. Since the early prediction of disease progression could help to assess the optimal treatment strategies, an integrated knowledge of T-cell and antibody response lays the foundation to develop biomarkers monitoring the COVID-19. Whole-blood-platform tests based on the immune response detection to SARS-CoV2 peptides is a new approach to discriminate COVID-19-patients from uninfected-individuals and to evaluate the immunogenicity of vaccine candidates, monitoring the immune response in vaccine trial and supporting the serological diagnostics results. Here, we aimed to identify in the whole-blood-platform the best immunogenic viral antigen and the best immune biomarker to identify COVID-19-patients. Methods: Whole-blood was overnight-stimulated with SARS-CoV-2 peptide pools of nucleoprotein-(NP) Membrane-, ORF3a- and Spike-protein. We evaluated: IL-1?, IL-1Ra, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL- 15, IL-17A, eotaxin, FGF, G-CSF, GM-CSF, IFN-?, IP-10, MCP-1, MIP-1?, MIP-1?, PDGF, RANTES, TNF-?, VEGF. By a sparse partial least squares discriminant analysis we identified the most important soluble factors discriminating COVID-19- from NO-COVID-19-individuals. Results: We identified a COVID-19 signature based on six immune factors: IFN-?, IP-10 and IL-2 induced by Spike; RANTES and IP-10 induced by NP and IL-2 induced by ORF3a. We demonstrated that the test based on IP-10 induced by Spike had the highest AUC (0.85, p < 0.0001) and that the clinical characteristics of the COVID-19-patients did not affect IP-10 production. Finally, we validated the use of IP-10 as biomarker for SARS-CoV2 infection in two additional COVID-19-patients cohorts. Conclusions: We set-up a whole-blood assay identifying the best antigen to induce a T-cell response and the best biomarkers for SARS-CoV-2 infection evaluating patients with acute COVID-19 and recovered patients. We focused on IP-10, already described as a potential biomarker for other infectious disease such as tuberculosis and HCV. An additional application of this test is the evaluation of immune response in SARS-CoV-2 vaccine trials: the IP-10 detection may define the immunogenicity of a Spike-based vaccine, whereas the immune response to the virus may be evaluated detecting other soluble factors induced by other viral-antigens. © 2021, The Author(s). | |
dc.publisher | BioMed Central Ltd | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.subject | Biomarkers | |
dc.subject | COVID-19 | |
dc.subject | IFN-? | |
dc.subject | Immune response | |
dc.subject | Immunity | |
dc.subject | IP-10 | |
dc.subject | SARS-CoV-2 | |
dc.subject | Spike | |
dc.subject | T-cell | |
dc.subject | Whole-blood | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1186/s12967-021-02938-8 | |
dc.description.sourcetitle | Journal of Translational Medicine | |
dc.description.volume | 19 | |
dc.description.issue | 1 | |
dc.description.page | 272 | |
Appears in Collections: | Staff Publications Elements |
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