+1 Recommend
2 collections
      • Record: found
      • Abstract: found
      • Article: not found

      Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19

      Read this article at

          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.


          To the Editor — We report the kinetics of immune responses in relation to clinical and virological features of a patient with mild-to-moderate coronavirus disease 2019 (COVID-19) that required hospitalization. Increased antibody-secreting cells (ASCs), follicular helper T cells (TFH cells), activated CD4+ T cells and CD8+ T cells and immunoglobulin M (IgM) and IgG antibodies that bound the COVID-19-causing coronavirus SARS-CoV-2 were detected in blood before symptomatic recovery. These immunological changes persisted for at least 7 d following full resolution of symptoms. A 47-year-old woman from Wuhan, Hubei province, China, presented to an emergency department in Melbourne, Australia. Her symptoms commenced 4 d earlier with lethargy, sore throat, dry cough, pleuritic chest pain, mild dyspnea and subjective fevers (Fig. 1a). She traveled from Wuhan to Australia 11 d before presentation. She had no contact with the Huanan seafood market or with known COVID-19 cases. She was otherwise healthy and was a non-smoker taking no medications. Clinical examination revealed a temperature of 38.5 °C, a pulse rate of 120 beats per minute, a blood pressure of 140/80 mm Hg, a respiratory rate of 22 breaths per minute, and oxygen saturation 98% while breathing ambient air. Lung auscultation revealed bi-basal rhonchi. At presentation on day 4, SARS-CoV-2 was detected in a nasopharyngeal swab specimen by real-time reverse-transcriptase PCR. SARS-CoV-2 was again detected at days 5–6 in nasopharyngeal, sputum and fecal samples, but was undetectable from day 7 (Fig. 1a). Blood C-reactive protein was elevated at 83.2, with normal counts of lymphocytes (4.3 × 109 cells per liter (range, 4.0 × 109 to 12.0 × 109 cells per liter)) and neutrophils (6.3 × 109 cells per liter (range, 2.0 × 109 to 8.0 × 109 × 109 cells per liter)). No other respiratory pathogens were detected. Her management was intravenous fluid rehydration without supplemental oxygenation. No antibiotics, steroids or antiviral agents were administered. Chest radiography demonstrated bi-basal infiltrates at day 5 that cleared on day 10 (Fig. 1b). She was discharged to home isolation on day 11. Her symptoms resolved completely by day 13, and she remained well at day 20, with progressive increases in plasma SARS-CoV-2-binding IgM and IgG antibodies from day 7 until day 20 (Fig. 1c and Extended Data Fig. 1). The patient was enrolled through the Sentinel Travelers Research Preparedness Platform for Emerging Infectious Diseases novel coronavirus substudy (SETREP-ID-coV) and provided written informed consent before the study. Patient care and research were conducted in compliance with the Case Report guidelines and the Declaration of Helsinki. Experiments were performed with ethics approvals HREC/17/MH/53, HREC/15/MonH/64/2016.196 and UoM#1442952.1/#1443389.4. Fig. 1 Emergence of immune responses during non-severe symptomatic COVID-19. a, Timeline of COVID-19, showing detection of SARS-CoV-2 in sputum, nasopharyngeal aspirates and feces but not urine, rectal swab or whole blood. SARS-CoV-2 was quantified by rRT-PCR; cycle threshold (Ct) is shown. A higher Ct value means lower viral load. Dashed horizontal line indicates limit of detection (LOD) threshold (Ct = 45). Open circles, undetectable SARS-CoV-2. b, Anteroposterior chest radiographs on days 5 and 10 following symptom onset, showing radiological improvement from hospital admission to discharge. c, Immunofluorescence antibody staining, repeated twice in duplicate, for detection of IgG and IgM bound to SARS-CoV-2-infected Vero cells, assessed with plasma (diluted 1:20) obtained at days 7–9 and 20 following symptom onset. d–f, Frequency (left set of plots) of CD27hiCD38hi ASCs (gated on CD3–CD19+ lymphocytes) and activated ICOS+PD-1+ TFH cells (gated on CD4+CXCR5+ lymphocytes) (d), activated CD38+HLA-DR+ CD8+ or CD4+ T cells (e), and CD14+CD16+ monocytes and activated HLA-DR+ natural killer (NK) cells (gated on CD3–CD14–CD56+ cells) (f), detected by flow cytometry of blood collected at days 7–9 and 20 following symptom onset in the patient and in healthy donors (n = 5; median with interquartile range); gating examples at right. Bottom right histograms and line graphs, staining of granzyme A (GZMA (A)), granzyme B (GZMB (B)), granzyme K (GZMK (K)), granzyme M (GZMM (M)) and perforin (Prf) in parent CD8+ and CD4+ T cells and activated CD38+HLA-DR+ CD8+ and CD4+ T cells. Gating and experimental details are in Extended Data Fig. 3. Source data We analyzed the kinetics and breadth of immune responses associated with clinical resolution of COVID-19. As ASCs are key for the rapid production of antibodies following infection with Ebola virus 1,2 and infection with and vaccination against influenza virus 2,3 , and activated circulating TFH cells (cTFH cells) are concomitantly induced following vaccination against influenza virus 3 , we defined the frequency of CD3–CD19+CD27hiCD38hi ASC and CD4+CXCR5+ICOS+PD-1+ cTFH cell responses before symptomatic recovery. ASCs appeared in the blood at the time of viral clearance (day 7; 1.48%) and peaked on day 8 (6.91%). The emergence of cTFH cells occurred concurrently in blood at day 7 (1.98%), increasing on day 8 (3.25%) and day 9 (4.46%) (Fig. 1d). The peak of both ASCs and cTFH cells was markedly higher in the patient with COVID-19 than in healthy control participants (0.61% ± 0.40% and 1.83% ± 0.77%, respectively (average ± s.d.); n = 5). Both ASCs and cTFH cells were prominently present during convalescence (day 20) (4.54% and 7.14%, respectively; Fig. 1d). Thus, our study provides evidence on the recruitment of both ASCs and cTFH cells in this patient’s blood while she was still unwell and 3 d before the resolution of symptoms. Since co-expression of CD38 and HLA-DR is the key phenotype of the activation of CD8+ T cells in response to viral infections, we analyzed co-expression of CD38 and HLA-DR. As per reports for Ebola and influenza 1,4 , co-expression of CD38 and HLA-DR on CD8+ T cells (assessed as the frequency of CD38+HLA-DR+ CD8+ T cells) rapidly increased in this patient from day 7 (3.57%) to day 8 (5.32%) and day 9 (11.8%), then decreased at day 20 (7.05%) (Fig. 1e). Furthermore, the frequency of CD38+HLA-DR+ CD8+ T cells was much higher in this patient than in healthy individuals (1.47% ± 0.50%; n = 5). CD38+HLA-DR+ T cells were also recently documented in a patient with COVID-19 at one time point 5 . Similarly, co-expression of CD38 and HLA-DR on CD4+ T cells (assessed as the frequency of CD38+HLA-DR+ CD4+ T cells) increased between day 7 (0.55%) and day 9 (3.33%) in this patient, relative to that of healthy donors (0.63% ± 0.28%; n = 5), although at lower levels than that of CD8+ T cells. CD38+HLA-DR+ T cells, especially CD8+ T cells, produced larger amounts of granzymes A and B and perforin (~34–54% higher) than did their parent cells (CD8+ or CD4+ populations; Fig. 1e). Thus, the emergence and rapid increase in activated CD38+HLA-DR+ T cells, especially CD8+ T cells, at days 7–9 preceded the resolution of symptoms. Details on data reproducibility are in the Life Sciences Reporting Summary. Analysis of CD16+CD14+ monocytes, which are related to immunopathology, showed lower frequencies of CD16+CD14+ monocytes in the blood of this patient at days 7, 8 and 9 (1.29%, 0.43% and 1.47%, respectively) than in that of healthy control donors (9.03% ± 4.39%; n = 5) (Fig. 1f), possibly indicative of the efflux of CD16+CD14+ monocytes from the blood to the site of infection. No differences in activated HLA-DR+CD3–CD56+ natural killer cells were found. As pro-inflammatory cytokines and chemokines are predictive of severe clinical outcomes for influenza 6 , we quantified 17 pro-inflammatory cytokines and chemokines in plasma. We found low levels of the chemokine MCP-1 (CCL2) in the patient’s plasma (Extended Data Fig. 2a), although this was comparable to results obtained for healthy donors (22.15 ± 13.81; n = 5), patients infected with influenza A virus or influenza B, assessed at days 7–9 (33.85 ± 30.12; n = 5), and a patient infected with the human coronavirus HCoV-229e (40.56). Thus, in contrast to severe avian H7N9 disease, which had elevated cytokines IL-6, IL-8, IL-10, MIP-1β and IFN-γ 6 , minimal pro-inflammatory cytokines and chemokines were found in this patient with COVID-19, even while she was symptomatic at days 7–9. As the single-nucleotide polymorphism rs12252-C/C in the gene IFITM3 (which encodes interferon-induced transmembrane protein 3) is linked to severe influenza 6,7 , we analyzed IFITM3-rs12252 in the patient with COVID-19 and found the ‘risk’ IFITM3-rs12252-C/C variant (Extended Data Fig. 2b). As the prevalence of IFITM3-rs12252-C/C in the Chinese population is 26.5% (the 1000 Genomes Project) 6 , further investigation of the IFITM3-rs12252-C/C allele in larger cohorts of people with COVID-19 is worth pursuing. Collectively, our study provides novel contributions to the understanding of the breadth and kinetics of immune responses during a non-severe case of COVID-19. This patient did not experience complications of respiratory failure or acute respiratory distress syndrome, did not require supplemental oxygenation, and was discharged within a week of hospitalization, consistent with non-severe but symptomatic disease. We have provided evidence on the recruitment of immune cell populations (ASCs, TFH cells and activated CD4+ and CD8+ T cells), together with IgM and IgG SARS-CoV-2-binding antibodies, in the patient’s blood before the resolution of symptoms. We propose that these immune parameters should be characterized in larger cohorts of people with COVID-19 with different disease severities to determine whether they could be used to predict disease outcome and evaluate new interventions that might minimize severity and/or to inform protective vaccine candidates. Furthermore, our study indicates that robust multi-factorial immune responses can be elicited to the newly emerged virus SARS-CoV-2 and, similar to the avian H7N9 disease 8 , early adaptive immune responses might correlate with better clinical outcomes. Reporting Summary Further information on research design is available in the Nature Research Reporting Summary linked to this article. Online content Any methods, additional references, Nature Research reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41591-020-0819-2. Supplementary information Reporting Summary

          Related collections

          Most cited references 1

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

          Circulating T FH cells, serological memory, and tissue compartmentalization shape human influenza-specific B cell immunity

          Immunization with the inactivated influenza vaccine (IIV) remains the most effective strategy to combat seasonal influenza infections. IIV activates B cells and T follicular helper (TFH) cells and thus engenders antibody-secreting cells and serum antibody titers. However, the cellular events preceding generation of protective immunity in humans are inadequately understood. We undertook an in-depth analysis of B cell and T cell immune responses to IIV in 35 healthy adults. Using recombinant hemagglutinin (rHA) probes to dissect the quantity, phenotype, and isotype of influenza-specific B cells against A/California09-H1N1, A/Switzerland-H3N2, and B/Phuket, we showed that vaccination induced a three-pronged B cell response comprising a transient CXCR5–CXCR3+ antibody-secreting B cell population, CD21hiCD27+ memory B cells, and CD21loCD27+ B cells. Activation of circulating TFH cells correlated with the development of both CD21lo and CD21hi memory B cells. However, preexisting antibodies could limit increases in serum antibody titers. IIV had no marked effect on CD8+, mucosal-associated invariant T, T, and natural killer cell activation. In addition, vaccine-induced B cells were not maintained in peripheral blood at 1 year after vaccination. We provide a dissection of rHA-specific B cells across seven human tissue compartments, showing that influenza-specific memory (CD21hiCD27+) B cells primarily reside within secondary lymphoid tissues and the lungs. Our study suggests that a rational design of universal vaccines needs to consider circulating TFH cells, preexisting serological memory, and tissue compartmentalization for effective B cell immunity, as well as to improve targeting cellular T cell immunity.

            Author and article information

            Nat Med
            Nat. Med
            Nature Medicine
            Nature Publishing Group US (New York )
            16 March 2020
            : 1-3
            [1 ]Victorian Infectious Diseases Service, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
            [2 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Doherty Department, , The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, ; Melbourne, Australia
            [3 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Microbiology and Immunology, , The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, ; Parkville, Australia
            [4 ]ISNI 0000 0004 0637 4986, GRID grid.433799.3, Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, ; Melbourne, Australia
            [5 ]ISNI 0000000084992262, GRID grid.7177.6, Department of Hematopoiesis, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, , University of Amsterdam, ; Amsterdam, Netherlands
            [6 ]ISNI 0000 0001 2157 559X, GRID grid.1043.6, Menzies School of Health Research, , Charles Darwin University, ; Darwin, Australia
            [7 ]ISNI 0000 0004 0432 511X, GRID grid.1623.6, Department of Infectious Diseases, , Alfred Hospital and Monash University, ; Melbourne, Australia
            © Springer Nature America, Inc. 2020

            This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

            Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
            Award ID: 1173871
            Award ID: 1102792
            Award ID: 1145033
            Award Recipient :


            immunology, infectious diseases, viral infection, microbiology, virology


            Comment on this article