5
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Coordinated innate and T-cell immune responses in mild COVID-19 patients from household contacts of COVID-19 cases during the first pandemic wave

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective

          To better define the immunopathogenesis of COVID-19, the present study aims to characterize the early immune responses to SARS-CoV-2 infection in household contacts of COVID-19 cases. In particular, innate, T- and B-cell specific responses were evaluated over time.

          Methods

          Household contacts of COVID-19 cases screened for SARS−CoV−2 infection by nasopharyngeal swab for surveillance purposes were enrolled (T0, n=42). Of these, 28 subjects returned for a follow-up test (T1). The innate response was assessed by detecting a panel of soluble factors by multiplex-technology in plasma samples. Cell-mediated response was evaluated by measuring interferon (IFN)-γ levels by ELISA in plasma harvested from whole-blood stimulated with SARS−CoV−2 peptide pools, including spike (S), nucleocapsid (N) and membrane (M) proteins. The serological response was assessed by quantifying anti-Receptor-Binding-Domain (RBD), anti-Nucleocapsid (N), whole virus indirect immunofluorescence, and neutralizing antibodies.

          Results

          At T0, higher levels of plasmatic IFN-α, IL-1ra, MCP-1 and IP-10, and lower levels of IL-1β, IL-9, MIP-1β and RANTES were observed in subjects with positive swab compared to individuals with a negative one (p<0.05). Plasmatic IFN-α was the only cytokine detectable in subjects with positive SARS-CoV-2 swabs with high accuracy for swab score positivity (0.93, p<0.0001). Among subjects with positive swabs, significant negative correlations were found among the RT-PCR cycle threshold values reported for genes S and N and IFN-α or IP-10 levels. At T0, the IFN-γ T-cell specific response was detected in 50% (5/10) of subjects with positive swab, while anti-RBD/anti-N antibodies showed a positivity rate of 10% (1/10).

          At T1, the IFN-γ T-cell specific response was detected in most of the confirmed-infection subjects (77.8%, 7/9), whereas the serological response was still observed in a minority of them (44.4%, 4/9). Overall, the swab test showed a moderate concordance with the T-cell response (78.6%, k=0.467), and a scarce concordance with the serological one (72.9%, k=0.194).

          Conclusions

          Plasmatic IFN-α and the IFN-γ T-cell specific response appear early even in the absence of seroconversion, and show a greater positivity rate than the serological response in household contacts with positive swab.

          Related collections

          Most cited references77

          • Record: found
          • Abstract: found
          • Article: not found

          Clinical Characteristics of Coronavirus Disease 2019 in China

          Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

              Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. Aim We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. Methods Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. Results The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive – Global (EVAg), a European Union infrastructure project. Conclusion The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                27 July 2022
                2022
                27 July 2022
                : 13
                : 920227
                Affiliations
                [1] 1 Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [2] 2 Local Public Health Office, Azienda Sanitaria Locale (ASL) Roma 1 , Rome, Italy
                [3] 3 Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [4] 4 Unità Operativa Complessa (UOC) Microbiology and Virology, Azienda Sanitaria Locale (ASL) Roma 1-San Filippo Neri Hospital , Rome, Italy
                [5] 5 Unità Operativa Semplice (UOS) Professioni Sanitarie Tecniche, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [6] 6 Laboratory of Cellular Immunology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [7] 7 Unità Operativa Complessa (UOC) Transfusion Medicine and Stem Cell, San Camillo Forlanini Hospital , Rome, Italy
                [8] 8 Respiratory Infectious Diseases Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [9] 9 Clinical Division of Infectious Diseases, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                [10] 10 Clinical Epidemiology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS , Rome, Italy
                Author notes

                Edited by: Shen-Ying Zhang, The Rockefeller University, United States

                Reviewed by: Shetty Ravi Dyavar, Adicet Bio, Inc., United States; Constantin J. Thieme, BIH Center for Regenerative Therapies (BCRT), Germany

                *Correspondence: Delia Goletti, delia.goletti@ 123456inmi.it

                †Present address: Concetta Castilletti, Department of Infectious, Tropical Diseases and Microbiology, IRCCS, Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy

                ‡These authors have contributed equally to this work and share first authorship

                This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2022.920227
                9364317
                35967321
                e068afcc-196a-4541-932f-8507b6e5b405
                Copyright © 2022 Aiello, Grossi, Meschi, Meledandri, Vanini, Petrone, Casetti, Cuzzi, Salmi, Altera, Pierelli, Gualano, Ascoli Bartoli, Castilletti, Agrati, Girardi, Palmieri, Nicastri, Di Rosa and Goletti

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 April 2022
                : 30 June 2022
                Page count
                Figures: 4, Tables: 4, Equations: 0, References: 77, Pages: 15, Words: 7355
                Categories
                Immunology
                Original Research

                Immunology
                household contacts,covid-19,sars-cov-2,t-cell response,interferon-alpha (ifn-α),interferon-gamma (ifn-γ) release assay (igra),whole blood,spike protein

                Comments

                Comment on this article