Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12967-021-02938-8
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dc.titleExploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
dc.contributor.authorPetruccioli, Elisa
dc.contributor.authorNajafi Fard, Saeid
dc.contributor.authorNavarra, Assunta
dc.contributor.authorPetrone, Linda
dc.contributor.authorVanini, Valentina
dc.contributor.authorCuzzi, Gilda
dc.contributor.authorGualano, Gina
dc.contributor.authorPierelli, Luca
dc.contributor.authorBertoletti, Antonio
dc.contributor.authorNicastri, Emanuele
dc.contributor.authorPalmieri, Fabrizio
dc.contributor.authorIppolito, Giuseppe
dc.contributor.authorGoletti, Delia
dc.date.accessioned2022-10-12T07:55:29Z
dc.date.available2022-10-12T07:55:29Z
dc.date.issued2021-06-26
dc.identifier.citationPetruccioli, 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.issn1479-5876
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/232313
dc.description.abstractBackground: 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.publisherBioMed Central Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectBiomarkers
dc.subjectCOVID-19
dc.subjectIFN-?
dc.subjectImmune response
dc.subjectImmunity
dc.subjectIP-10
dc.subjectSARS-CoV-2
dc.subjectSpike
dc.subjectT-cell
dc.subjectWhole-blood
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1186/s12967-021-02938-8
dc.description.sourcetitleJournal of Translational Medicine
dc.description.volume19
dc.description.issue1
dc.description.page272
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