Cargando…

Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection

BACKGROUND: Recent studies proposed the whole-blood based IFN-γ-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 f...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235902/
https://www.ncbi.nlm.nih.gov/pubmed/34174875
http://dx.doi.org/10.1186/s12967-021-02938-8
_version_ 1783714425547522048
author 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
author_facet 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
author_sort Petruccioli, Elisa
collection PubMed
description BACKGROUND: Recent studies proposed the whole-blood based IFN-γ-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-1β, 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-γ, IP-10, MCP-1, MIP-1α, MIP-1β, PDGF, RANTES, TNF-α, 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-γ, 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.
format Online
Article
Text
id pubmed-8235902
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-82359022021-06-28 Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection 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 J Transl Med Research BACKGROUND: Recent studies proposed the whole-blood based IFN-γ-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-1β, 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-γ, IP-10, MCP-1, MIP-1α, MIP-1β, PDGF, RANTES, TNF-α, 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-γ, 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. BioMed Central 2021-06-26 /pmc/articles/PMC8235902/ /pubmed/34174875 http://dx.doi.org/10.1186/s12967-021-02938-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
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
Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title_full Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title_fullStr Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title_full_unstemmed Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title_short Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
title_sort exploratory analysis to identify the best antigen and the best immune biomarkers to study sars-cov-2 infection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235902/
https://www.ncbi.nlm.nih.gov/pubmed/34174875
http://dx.doi.org/10.1186/s12967-021-02938-8
work_keys_str_mv AT petrucciolielisa exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT najafifardsaeid exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT navarraassunta exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT petronelinda exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT vaninivalentina exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT cuzzigilda exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT gualanogina exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT pierelliluca exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT bertolettiantonio exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT nicastriemanuele exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT palmierifabrizio exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT ippolitogiuseppe exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection
AT golettidelia exploratoryanalysistoidentifythebestantigenandthebestimmunebiomarkerstostudysarscov2infection