Louise C.Rowntree126Thi H.O.Nguyen126LukaszKedzierski1226Melanie R.Neeland34JanPetersen5Jeremy ChaseCrawford6Lilith F.Allen1E. BridieClemens1BrendonChua1Hayley A.McQuilten1Anastasia A.Minervina6Mikhail V.Pogorelyy6PriyankaChaurasia5Hyon-XhiTan1Adam K.Wheatley17XiaoxiaoJia1FatimaAmanat89FlorianKrammer81011E. KaitlynnAllen6SabrinaSonda12Katie L.Flanagan12131415JayceeJumarang16Pia S.Pannaraj1617Paul V.Licciardi34Stephen J.Kent1718Katherine A.Bond119Deborah A.Williamson202122JamieRossjohn523Paul G.Thomas6ShidanTosif3424Nigel W.Crawford342425Carolien E.van de Sandt127KatherineKedzierska12728
1、Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
2、Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC 3000, Australia
3、Infection and Immunity, Murdoch Children's Research Institute, Melbourne, VIC 3000, Australia
4、Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3000, Australia
5、Infection and Immunity Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
6、Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
7、ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, VIC 3000, Australia
8、Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
9、Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
10、Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
11、Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
12、School of Health Sciences and School of Medicine, University of Tasmania, Launceston, TAS 7248, Australia
13、Department of Immunology and Pathology, Monash University, Commercial Road, Melbourne, VIC 3004, Australia
14、School of Health and Biomedical Science, RMIT University, Melbourne, VIC 3000, Australia
15、Tasmanian Vaccine Trial Centre, Clifford Craig Foundation, Launceston General Hospital, Launceston, TAS 7250, Australia
16、Division of Infectious Diseases, Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA
17、Departments of Pediatrics and Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90089, USA
18、Melbourne Sexual Health Centre, Infectious Diseases Department, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
19、Department of Microbiology, Royal Melbourne Hospital, Melbourne, VIC 3000, Australia
20、Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
21、Victorian Infectious Diseases Reference Laboratory at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
22、The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC 3000, Australia
23、Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, UK
24、Department of General Medicine, Royal Children’s Hospital Melbourne, Melbourne, VIC 3000, Australia
25、Royal Children's Hospital Melbourne, Immunisation Service, Melbourne, VIC 3000, Australia
Received 29 October 2021, Revised 31 March 2022, Accepted 1 June 2022, Available online 8 June 2022.
Published: June 8, 2022
Highlights
•SARS-CoV-2-specific T cells detected ex vivo in unvaccinated seroconverted children
•Comparable Spike-T cell memory responses but lower ORF1a/N-responses found in children
•Reduced clonal expansions within tetramer+ T cells seen in children compared with adults
•Prevalent Tscm phenotype and TCR motif occur in SARS-CoV-2-specific T cells in children
Summary
As the establishment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T cell memory in children remains largely unexplored, we recruited convalescent COVID-19 children and adults to define their circulating memory SARS-CoV-2-specific CD4+ and CD8+ T cells prior to vaccination. We analyzed epitope-specific T cells directly ex vivo using seven HLA class I and class II tetramers presenting SARS-CoV-2 epitopes, together with Spike-specific B cells. Unvaccinated children who seroconverted had comparable Spike-specific but lower ORF1a- and N-specific memory T cell responses compared with adults. This agreed with our TCR sequencing data showing reduced clonal expansion in children. A strong stem cell memory phenotype and common T cell receptor motifs were detected within tetramer-specific T cells in seroconverted children. Conversely, children who did not seroconvert had tetramer-specific T cells of predominantly naive phenotypes and diverse TCRαβ repertoires. Our study demonstrates the generation of SARS-CoV-2-specific T cell memory with common TCRαβ motifs in unvaccinated seroconverted children after their first virus encounter.
Introduction
A paradox of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is that the majority of children develop less severe coronavirus disease 2019 (COVID-19) (CDC COVID-Response Team, 2020; Chou et al., 2022; O'Driscoll et al., 2021) and have lower secondary attack rates compared with adults and the elderly (Zhu et al., 2021). This is in stark contrast with other respiratory viruses, which often cause severe disease in children (Jansen et al., 2007; Short et al., 2018). The rapid spread of the SARS-CoV-2 Omicron variant, in combination with vaccination of adults and the elderly, has increased the risk of infections in unvaccinated children (Delahoy et al., 2021; Mallapaty, 2021). Despite approvals of COVID-19 vaccines for children, global vaccination rates in children remain low. As immunity to SARS-CoV-2 in children is greatly understudied, it is important to define immunological memory responses generated in SARS-CoV-2 infected, unvaccinated children following their first antigenic encounter.
Children’s innate immunity contributes to the rapid resolution of SARS-CoV-2 infection (Neeland et al., 2021a, 2021b). However, children can develop relatively low Spike (S)1-specific immunoglobulin G (IgG) and IgA antibody titers, mainly detected in saliva (Tosif et al., 2020), and reduced seroconversion compared with adults with mild COVID-19 (37% versus 76.2%), despite similar viral loads (Toh et al., 2022). However, a recent large cohort study demonstrated similar neutralization and S-specific antibodies in children and adults (Dowell et al., 2022). Our previous study indicated that children were more likely to mount de novo humoral responses following SARS-CoV-2 infection, in contrast to adults and the elderly. Pre-pandemic children had encountered fewer seasonal coronavirus exposures compared with elderly individuals, resulting in less-experienced, polyreactive, and functionally distinct humoral immunity (Selva et al., 2021).
A limited number of studies showed significantly reduced CD4+ and CD8+ T cell responses following stimulation with overlapping SARS-CoV-2 peptide pools in children with mild COVID-19 compared with adults (Cohen et al., 2021; Goenka et al., 2021; Moratto et al., 2020; Pierce et al., 2020). Interferon-γ (IFN-γ) ELISpot analysis with a mix of overlapping peptides to S, nucleocapsid (N), and membrane (M) revealed relatively lower cellular responses to N- and M-derived peptides in children but 2-fold increased responses against S-derived peptides (Dowell et al., 2022). Similarly, stimulation with overlapping peptides in an IFN-γ intracellular cytokine secretion assay showed lower CD8+ and CD4+ T cell responses to SARS-CoV-2 structural and ORF1ab proteins in SARS-CoV-2-infected children compared with adults, despite comparable T cell polyfunctionality (Cohen et al., 2021). Asymptomatic and symptomatic children display similar frequencies of antigen-specific CD8+ T cells, detected by fluorescent intercellular adhesion molecule (ICAM)-1 multimers (Cotugno et al., 2021). Studies in children with multisystem inflammatory syndrome (MIS-C) and SARS-CoV-2 convalescent controls found similar CD4+ and CD8+ T cell responses using peptide megapools and activation-induced marker (AIM) assay (Hsieh et al., 2022). However, importantly, differential T cell responses between children and adults detected by peptide stimulation and functional readouts can also reflect differences in antigen presentation and/or functionality of T cells. Concrete immunological data on the magnitude, phenotype, underlying T cell receptor (TCR) features of SARS-CoV-2 epitope-(peptide + human leukocyte antigen [HLA])-specific CD8+ and CD4+ T cells following the natural SARS-CoV-2 infection of children with asymptomatic or mild COVID-19 are still missing.
Peptide (p)-HLA multimers can accurately track SARS-CoV-2-specific CD8+ and CD4+ T cells directly ex vivo during acute and memory time points (Koutsakos et al., 2019; Nguyen et al., 2021a, 2021b), without any in vitro manipulations, providing core evidence on key features of virus-specific T cell immunity. Using p-HLA tetramers, we previously demonstrated that pre-pandemic children display a largely naive SARS-CoV-2-specific CD8+ T cell phenotype directed at immunodominant HLA-B7/N105 and subdominant HLA-A2/S269 epitopes, suggesting a lack of pre-existing memory CD8+ T cell responses (Habel et al., 2020; Nguyen et al., 2021b). However, when it comes to the mild or asymptomatic clinical presentation of COVID-19 in children, the immunological data on SARS-CoV-2 epitope-specific CD8+ and CD4+ T cell immunity are largely non-existent.
Our present study investigated circulating SARS-CoV-2-specific CD4+ and CD8+ T cells within peripheral blood mononuclear cells (PBMCs), as well as B cell immune responses, in 53 children at around one month after mild or asymptomatic SARS-CoV-2 infection or exposure, in comparison with convalescent adults’ immune responses. We analyzed SARS-CoV-2-specific T and B cell responses directly ex vivo, using seven SARS-CoV-2 tetramers, including six prominent HLA class I (HLA-A∗01:01, -A∗02:01, -A∗03:01, -A∗24:02, -B∗07:02, and -B∗40:01) and one class II (HLA-DPB∗04:01) alleles and S-specific B cell probes. Those SARS-CoV-2 epitopes were highly conserved across the major SARS-CoV-2 variants of concern (VOCs). We profiled epitope-specific CD8+ and CD4+ T cell responses at quantitative, phenotypic, and clonal levels to understand their memory potential and found that seroconverted children had memory T cell and B cell profiles, although lower in magnitude compared with seroconverted adults. Additionally, children’s SARS-CoV-2-specific T cells displayed similar TCR gene usage but fewer clonal expansions and common motifs compared with adults. Our study provides evidence that seroconverted children generate circulating memory CD4+ and CD8+ T cells, albeit at a lower magnitude compared with seroconverted adults. A small population of mostly SARS-CoV-2-exposed seronegative children had naive tetramer-specific T cells and diverse TCRαβ usage.
Results
COVID-19 children and adult cohort and seroconversion
We recruited 53 children from Melbourne (Australia) and Los Angeles (USA), including 11 sets of siblings and 47 adults (Figure 1A; Table S1). 37 children and 30 adults were PCR positive for SARS-CoV-2 (Figure 1B). 21 mothers were recruited from the same households of which 5 were SARS-CoV-2 PCR positive. All donors were recruited prior to COVID-19 vaccination. Children’s mean age was 5 years (range 4 months to 17 years; 42% female), whereas adults’ mean age was 40 years (range 23–91 years; 85% female) (Figure 1C; Table S1). 33 children and 33 adults exhibited 2+ symptoms days −2–14 from PCR testing (Figure 1D). None were hospitalized during their infectious period. HLA typing revealed 7 prominent HLA alleles where class I/II tetramers were available (Habel et al., 2020; Minervina et al., 2022; Mudd et al., 2022; Nguyen et al., 2021b; Peng et al., 2020; Rowntree et al., 2021b; Saini et al., 2021; Schulien et al., 2021). High prevalence of class I HLA-A∗01:01 (26%), HLA-A∗02:01 (44%), HLA-A∗24:02 (19%), HLA-B∗07:02 (31%), and class II DPB1∗04:01 (62%) was found, with 93/100 participants having ≥1 HLA of interest (Figure 1E). Blood was collected at ∼62 days post PCR testing (range 21–180 days) (Figure 1F).
Introduction
A paradox of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is that the majority of children develop less severe coronavirus disease 2019 (COVID-19) (CDC COVID-Response Team, 2020; Chou et al., 2022; O'Driscoll et al., 2021) and have lower secondary attack rates compared with adults and the elderly (Zhu et al., 2021). This is in stark contrast with other respiratory viruses, which often cause severe disease in children (Jansen et al., 2007; Short et al., 2018). The rapid spread of the SARS-CoV-2 Omicron variant, in combination with vaccination of adults and the elderly, has increased the risk of infections in unvaccinated children (Delahoy et al., 2021; Mallapaty, 2021). Despite approvals of COVID-19 vaccines for children, global vaccination rates in children remain low. As immunity to SARS-CoV-2 in children is greatly understudied, it is important to define immunological memory responses generated in SARS-CoV-2 infected, unvaccinated children following their first antigenic encounter.
Children’s innate immunity contributes to the rapid resolution of SARS-CoV-2 infection (Neeland et al., 2021a, 2021b). However, children can develop relatively low Spike (S)1-specific immunoglobulin G (IgG) and IgA antibody titers, mainly detected in saliva (Tosif et al., 2020), and reduced seroconversion compared with adults with mild COVID-19 (37% versus 76.2%), despite similar viral loads (Toh et al., 2022). However, a recent large cohort study demonstrated similar neutralization and S-specific antibodies in children and adults (Dowell et al., 2022). Our previous study indicated that children were more likely to mount de novo humoral responses following SARS-CoV-2 infection, in contrast to adults and the elderly. Pre-pandemic children had encountered fewer seasonal coronavirus exposures compared with elderly individuals, resulting in less-experienced, polyreactive, and functionally distinct humoral immunity (Selva et al., 2021).
A limited number of studies showed significantly reduced CD4+ and CD8+ T cell responses following stimulation with overlapping SARS-CoV-2 peptide pools in children with mild COVID-19 compared with adults (Cohen et al., 2021; Goenka et al., 2021; Moratto et al., 2020; Pierce et al., 2020). Interferon-γ (IFN-γ) ELISpot analysis with a mix of overlapping peptides to S, nucleocapsid (N), and membrane (M) revealed relatively lower cellular responses to N- and M-derived peptides in children but 2-fold increased responses against S-derived peptides (Dowell et al., 2022). Similarly, stimulation with overlapping peptides in an IFN-γ intracellular cytokine secretion assay showed lower CD8+ and CD4+ T cell responses to SARS-CoV-2 structural and ORF1ab proteins in SARS-CoV-2-infected children compared with adults, despite comparable T cell polyfunctionality (Cohen et al., 2021). Asymptomatic and symptomatic children display similar frequencies of antigen-specific CD8+ T cells, detected by fluorescent intercellular adhesion molecule (ICAM)-1 multimers (Cotugno et al., 2021). Studies in children with multisystem inflammatory syndrome (MIS-C) and SARS-CoV-2 convalescent controls found similar CD4+ and CD8+ T cell responses using peptide megapools and activation-induced marker (AIM) assay (Hsieh et al., 2022). However, importantly, differential T cell responses between children and adults detected by peptide stimulation and functional readouts can also reflect differences in antigen presentation and/or functionality of T cells. Concrete immunological data on the magnitude, phenotype, underlying T cell receptor (TCR) features of SARS-CoV-2 epitope-(peptide + human leukocyte antigen [HLA])-specific CD8+ and CD4+ T cells following the natural SARS-CoV-2 infection of children with asymptomatic or mild COVID-19 are still missing.
Peptide (p)-HLA multimers can accurately track SARS-CoV-2-specific CD8+ and CD4+ T cells directly ex vivo during acute and memory time points (Koutsakos et al., 2019; Nguyen et al., 2021a, 2021b), without any in vitro manipulations, providing core evidence on key features of virus-specific T cell immunity. Using p-HLA tetramers, we previously demonstrated that pre-pandemic children display a largely naive SARS-CoV-2-specific CD8+ T cell phenotype directed at immunodominant HLA-B7/N105 and subdominant HLA-A2/S269 epitopes, suggesting a lack of pre-existing memory CD8+ T cell responses (Habel et al., 2020; Nguyen et al., 2021b). However, when it comes to the mild or asymptomatic clinical presentation of COVID-19 in children, the immunological data on SARS-CoV-2 epitope-specific CD8+ and CD4+ T cell immunity are largely non-existent.
Our present study investigated circulating SARS-CoV-2-specific CD4+ and CD8+ T cells within peripheral blood mononuclear cells (PBMCs), as well as B cell immune responses, in 53 children at around one month after mild or asymptomatic SARS-CoV-2 infection or exposure, in comparison with convalescent adults’ immune responses. We analyzed SARS-CoV-2-specific T and B cell responses directly ex vivo, using seven SARS-CoV-2 tetramers, including six prominent HLA class I (HLA-A∗01:01, -A∗02:01, -A∗03:01, -A∗24:02, -B∗07:02, and -B∗40:01) and one class II (HLA-DPB∗04:01) alleles and S-specific B cell probes. Those SARS-CoV-2 epitopes were highly conserved across the major SARS-CoV-2 variants of concern (VOCs). We profiled epitope-specific CD8+ and CD4+ T cell responses at quantitative, phenotypic, and clonal levels to understand their memory potential and found that seroconverted children had memory T cell and B cell profiles, although lower in magnitude compared with seroconverted adults. Additionally, children’s SARS-CoV-2-specific T cells displayed similar TCR gene usage but fewer clonal expansions and common motifs compared with adults. Our study provides evidence that seroconverted children generate circulating memory CD4+ and CD8+ T cells, albeit at a lower magnitude compared with seroconverted adults. A small population of mostly SARS-CoV-2-exposed seronegative children had naive tetramer-specific T cells and diverse TCRαβ usage.
Results
COVID-19 children and adult cohort and seroconversion
We recruited 53 children from Melbourne (Australia) and Los Angeles (USA), including 11 sets of siblings and 47 adults (Figure 1A; Table S1). 37 children and 30 adults were PCR positive for SARS-CoV-2 (Figure 1B). 21 mothers were recruited from the same households of which 5 were SARS-CoV-2 PCR positive. All donors were recruited prior to COVID-19 vaccination. Children’s mean age was 5 years (range 4 months to 17 years; 42% female), whereas adults’ mean age was 40 years (range 23–91 years; 85% female) (Figure 1C; Table S1). 33 children and 33 adults exhibited 2+ symptoms days −2–14 from PCR testing (Figure 1D). None were hospitalized during their infectious period. HLA typing revealed 7 prominent HLA alleles where class I/II tetramers were available (Habel et al., 2020; Minervina et al., 2022; Mudd et al., 2022; Nguyen et al., 2021b; Peng et al., 2020; Rowntree et al., 2021b; Saini et al., 2021; Schulien et al., 2021). High prevalence of class I HLA-A∗01:01 (26%), HLA-A∗02:01 (44%), HLA-A∗24:02 (19%), HLA-B∗07:02 (31%), and class II DPB1∗04:01 (62%) was found, with 93/100 participants having ≥1 HLA of interest (Figure 1E). Blood was collected at ∼62 days post PCR testing (range 21–180 days) (Figure 1F).
We first measured receptor-binding domain (RBD)- and N-specific IgG, IgM, and IgA antibody titers in COVID-19 convalescent children and adults, and 20 age-matched healthy donors (Figure 1G). 36 children and 32 adults were positive for RBD IgG, while 40 and 29, respectively, were positive for N IgG (Figure 1H). Antibodies positively correlated with each other in both children and adults (children: rs = 0.8042, p < 0.0001; adults: rs = 0.9033, p < 0.0001) (Figure S1A). RBD IgG antibody titers did not correlate with age or days post PCR testing in children but weakly correlated with days post testing in adults (rs = 0.3872, p = 0.0072) (Figure S1BC). 26 children and 29 adults were PCR+ and RBD IgG+. 10 children and 3 adults were PCR-negative, inconclusive, or untested but were all RBD IgG+ (Figure 1G). 11 children were PCR+ but RBD IgG−. 6 were PCR− and RBD IgG−. The remaining 14 adults were PCR− and RBD IgG−. RBD-specific IgG titers significantly correlated with IgM and IgA titers in children and adults (IgM children: rs = 0.6995, p < 0.0001; adults: rs = 0.7777, p < 0.0001; IgA children: rs = 0.7490, p < 0.0001; and adults: rs = 0.7884, p < 0.0001) (Figure S1D). As anti-SARS-CoV-2-S2 IgG can be more sensitive than anti-RBD IgG in identifying asymptomatic COVID-19 patients (Liao et al., 2021), we measured anti-S2 titers in our cohort. RBD IgG and S2 IgG endpoint titers significantly correlated in children and adults (children: rs = 0.7997, p < 0.0001; adults: rs = 0.8834, p < 0.0001); however, none of the IgG RBD− children or adults were S2-seropositive (Figure S1E). Finally, IgG antibodies in children and mothers bound the Delta variant RBD (Figure S1F), indicating cross-protective immunity between ancestral and Delta SARS-CoV-2 strains.
Spike-specific B cells in seroconverted children and adults are predominantly IgG
Using Spike fluorescent probes (Juno et al., 2020; Nguyen et al., 2021b) (Figures 1I and S1G), we found no difference in the frequency of circulating Spike-specific B cells between RBD IgG+ children and adults (Figure 1J). Spike-specific B cells were significantly higher in RBD IgG+ adults compared with RBD IgG− adults (p = 0.0004), but they were not significantly higher between children. Spike+ B cells from RBD IgG+ individuals were mainly of IgG isotype compared with RBD IgG− individuals (children p = 0.0115; adults p = 0.0011), with IgM significantly enriched in RBD IgG− adults (p = 0.0268) (Figure 1K). There were no differences in the phenotype of Spike+ B cells between RBD IgG+ and RBD IgG− individuals (Figure S1H). Spike-specific B cells positively correlated with RBD IgG titers in adults (rs = 0.4142, p = 0.0042) (Figure 1L).
Overall, 68% of children and 68% of adults seroconverted at convalescence, and these individuals established SARS-CoV-2-specific B cell memory.
SARS-CoV-2 epitope-specific CD8+ and CD4+ T cell responses are lower in seroconverted children compared with adults
To understand circulating SARS-CoV-2-specific T cell responses in children versus adults, we used tetramer-associated magnetic enrichment (TAME) to measure CD8+ T cells against 6 epitopes ex vivo (A1/ORF1a1637, A2/S269, A3/N361, A24/S1208, B7/N105, and B40/N322) (Ferretti et al., 2020; Habel et al., 2020; Nguyen et al., 2021b; Rowntree et al., 2021b; Saini et al., 2021; Schulien et al., 2021) and CD4+ T cells against 1 DPB4/S167 epitope (Mudd et al., 2022; Figures 2A and S2A). TAMEs were performed on 46 children and 61 adults (Nguyen et al., 2021b). These SARS-CoV-2 epitopes are restricted by predominant HLA alleles in our cohort and are highly conserved across SARS-CoV-2 VOC (Figure S2B).
Figure 2. Increased SARS-CoV-2 epitope-specific CD4+ and CD8+ T cells in SARS-CoV-2 exposed children and adults
Ex vivo analysis of A1/ORF1a1637-, B7/N105-, B40/N322-, A3/N361-, A2/S269-, and A24/S1208-specific CD8+ and DPB4/S167-specific CD4+ T cells from SARS-CoV-2 exposed children and adults. Between one and four epitopes were examined per individual.
(A) Representative flow cytometry plots of enriched tetramer+ T cells from RBD IgG+ children and adults.
(B) Frequencies of enriched tetramer+ T cells when all 7 SARS-CoV-2 epitopes were pooled with individuals grouped by RBD IgG status in children and adults or (C) by ORF1a/N or Spike epitopes.
(B and C) Statistical significance was determined with Kruskal-Wallis test.
(D) Individual frequencies per epitope from RBD IgG+ or IgG− children and adults. Statistical significance was determined with Mann-Whitney U test.
(E) Hierarchy of tetramer frequencies of individual epitopes in RBD IgG+ children and adults.
(B–E) Data are shown as mean with SD. 16 datasets are derived from our previous COVID-19 adult cohort (Nguyen et al., 2021b).
See also Figure S2.
Circulating SARS-CoV-2-tetramer+ CD8+ and CD4+ T cells had lower mean frequencies in RBD IgG+ children compared with adults. When pooling all 7 epitopes, RBD IgG+ children had ∼3.35-fold lower mean SARS-CoV-2-specific T cell frequency (3.38 × 10−5) compared with adults (1.13 × 10−4, p = 0.0478) (Figure 2B). The mean SARS-CoV-2-specific T cell frequency in RBD IgG+ adults was significantly higher than in RBD IgG− adults (1.08 × 10−5, p < 0.0001) and trended the same way in children (RBD IgG+: 3.38 × 10−5, RBD IgG−: 1.92 × 10−5). Lower frequencies in children suggest that SARS-CoV-2 T cell responses may not have been fully activated/expanded to a similar extent as adults. SARS-CoV-2-specific T cell frequencies weakly correlated with age (rs = 0.1966, p = 0.0190) in RBD IgG+ individuals (Figure S2C) but not with days post infection (Figure S2D).
As reduced CD4+ and CD8+ T cell responses have been found toward overlapping SARS-CoV-2 peptide pools derived from internal proteins but not Spike-derived peptides in children (Cohen et al., 2021; Goenka et al., 2021; Moratto et al., 2020; Pierce et al., 2020; Dowell et al., 2022), we analyzed T cell responses according to Spike (A2/S269, A24/S1208, and DPB4/S167) or internal (A1/ORF1a1637, A3/N361, B7/N105, and B40/N322) epitopes. RBD IgG+ children had ∼3.94-fold lower ORF1a- and N-specific T cell mean frequency (5.39 × 10−5) than RBD IgG+ adults (2.121 × 10−4, p = 0.0336) (Figure 2C). Mean frequencies of Spike-specific T cells were lower than internal epitopes in children and adults for both serogroups.
Individually, A1/ORF1a1637 and B7/N105 CD8+ T cell frequencies were significantly lower in RBD IgG+ children than in adults (Figure 2D). Conversely, RBD IgG− children and adults had comparable CD8+ T cell frequencies for all epitopes. DPB4/S167-specific CD4+ T cells were higher in RBD IgG+ adults than in children (p = 0.0410), but this was reversed in RBD IgG− individuals (p = 0.0309). A1/ORF1a1637 and B7/N105 CD8+ T cell responses were significantly immunodominant over A2/S269, A24/S1208, and DPB4/S167 (p values < 0.0036) in RBD IgG+ children (Figure 2E), which was similarly observed in adults, albeit at higher frequencies.
Thus, seroconverted children had ∼3.9-fold lower ORF1a- and N-specific CD8+ T cell responses compared with adults but comparable Spike-specific T cell responses.
Lower Tcm-like and more Tscm SARS-CoV-2-specific CD8+ T cells observed in seroconverted children compared with adults
We characterized the ex vivo phenotype profiles of circulating SARS-CoV-2 tetramer-specific T cells in children and adults (Figure 3A). In pooled CD8+ T cell responses, RBD IgG+ children had less Tcm (p = 0.0027) and more Tscm cells (p = 0.0004) than adults (Figure 3B). DPB4/S167-specific CD4+ T cell responses shared similar phenotypes in RBD IgG+ children and adults (Figure 3B). Not surprisingly, RBD IgG− children and adults had higher Tnaive and less Tcm cells than RBD IgG+ groups for pooled CD8+ and CD4+ T cell epitopes (Figure 3B).
Figure 3. Ex vivo phenotypes of SARS-CoV-2-specific CD8+ and CD4+ T cells revealed in SARS-CoV-2-exposed children and adults
(A) Representative flow cytometry plots of unenriched CD8+ T cells and enriched B7/N105-specific CD8+ T cells from RBD IgG+ and RBD IgG− children and adults representing Tnaive-like (CD27+CD45RA+CD95−), Tscm-like (CD27+CD45RA+CD95+), Tcm-like (CD27+CD45RA−), Tem-like (CD27−CD45RA−), and Temra-like (CD27−CD45RA+) subsets. Phenotype gates were set on unenriched CD8+ or CD4+ T cells and applied to the enriched tetramer+CD8+ or CD4+ T cell population.
(B) Stacked plots of phenotype subset frequency for the pooled 6 CD8+ epitopes and DPB4/S167 CD4+ epitope in RBD IgG+ or IgG− children and adults.
(C) Correlation of tetramer+ frequencies from RBD IgG+ individuals with age across the different phenotype subsets using Spearman’s rank correlation (rs).
(D) Stacked phenotype plots based on ORF1a/N (A1/ORF1a1637, A3/N361, B7/N105, and B40/N322) and Spike epitopes (A2/S269, A24/S1208, and DPB4/S167) or (E) per individual CD8+ epitope. Only individuals above the detection limit (≥10 tetramer+-enriched events) were included for analysis.
(B, D, and E) Mean with SD is shown, and statistical significance was determined using Tukey’s multiple comparisons test.
Given that SARS-CoV-2-specific T cell frequencies increased with age in RBD IgG+ individuals (Figure S4B), the predominance of Tcm/Tem-like tetramer+ T cells in RBD IgG+ individuals also significantly increased with age, whereas Tscm/naive cells decreased (Figure 3C). Similar phenotypic profiles were observed toward internal epitopes, with less Tcm-like but more Tscm/naive ORF1a- and N-specific CD8+ T cells in RBD IgG+ children than adults (Figure 3D). RBD IgG+ children had more Tcm-like Spike-specific T cells than adults. Per epitope, we found fewer B7/N105- and A3/N361-specific Tcm-like cells in RBD IgG+ children than in adults (p < 0.0001 and 0.0012, respectively) and more Tscm A3/N361-specific T cells in children (p = 0.0003) (Figure 3E).
Thus, we provide evidence for SARS-CoV-2-specific adaptive immune responses in SARS-CoV-2 unvaccinated, seroconverted children compared with adults at convalescence. Tcm CD8+ T cells were lower in children than adults, but children had increased Tscm cells following infection.
Lower SARS-CoV-2-specific T cell frequencies detected in seroconverted children compared with matched mothers
21 household families were recruited with at least one PCR+ and/or RBD IgG+ child, sibling, or mother to perform T cell analyses for matched children-mother samples. Enriched tetramer-specific CD8+ and CD4+ T cells were readily observed in RBD IgG+ families compared with RBD IgG− (Figure 4A). Frequencies and numbers (per million CD4+ or CD8+ T cells) of SARS-CoV-2-specific T cells were similar between RBD IgG+ children and mothers, but RBD IgG+ children had lower mean T cell frequency (3.98 × 10−5) than mothers (1.73 × 10−4) (Figures 4B and 4C), reflecting those observed in the larger children-adult cohort. A1/ORF1a1637- and/or B7/N105-specific CD8+ T cell responses were most immunodominant in mothers and children regardless of RBD IgG status, which resembled the immunodominance hierarchy seen in the larger cohort (Figure 2E). In households where both mothers and children expressed the dominant A1/ORF1a1637 and/or B7/N105 epitope, the highest frequency was observed in mothers (RBD IgG+ family 46, 78, and 102; RBD IgG− family 25, 34, and 52). This pattern was less obvious for subdominant epitopes. Mothers of RBD IgG+ families (61, 78, and 88) displayed higher B40/N322-, A2/S269-, A24/S1208-, and DPB4/S167-specific T cell frequencies than children, whereas precursor frequencies in RBD IgG− households were either higher in the mother (family 18 [A2/S269], 34, 52 [DPB4/S167], and 53) or in children (family 18 [DPB4/S167], 21, 36, 43, 52 [A2/S269], 57, and 75). A3/N361-specific CD8+ T cell frequencies were higher in children of RBD IgG+ household (family 97) and RBD IgG− household (family 36). The mothers in households 58 and 80 did not seroconvert, corresponding to lower CD4+ and CD8+ T cell frequencies compared with their seroconverted children (Figures 4B and 4C).
Figure 4. SARS-CoV-2-specific CD8+ and CD4+ T cells profiled in children and mothers
(A) Representative flow cytometry plots of enriched tetramer+ T cells from families with RBD IgG+ or RBD IgG− children, as depicted by RBD IgG dilution curves.
(B and C) Individual participant profiles of SARS-CoV-2 epitope-specific T cell (B) frequencies and (C) cumulative tetramer+ cells per million CD4+ or CD8+ T cells.
(D) Stacked plots display the proportion of each phenotype subset within epitope-specific T cell responses for each individual. The families are linked between the children and mothers by red (RBD IgG+) or blue (RBD IgG−) shading. The x axis depicts the participant and HLA restriction of the epitope examined; A1/ORF1a1637, A2/S269, A3/N361, A24/S1208, B7/N105, B40/N322 and DPB4/S167.
SARS-CoV-2-specific T cells of household-matched RBD IgG+ children (n = 14) were mainly Tcm-like (Figure 4D), except for a Tscm-dominated phenotype in selected siblings (children 46.3 and 46.4, epitopes A3/N361 and B7/N105) or selected epitopes within children (88.2: A1/ORF1a1636; 94.3: A2/S269; 78.4: A2/S269 and B7/N105) and Temra phenotype in 1 child (61.5: B40/N322) (Figure 4B). In contrast, T cell responses in household-matched RBD IgG− children (n = 14) were mainly Tnaive, except for 2 children (18.3 and 55.4) who had Tscm phenotype toward A1/ORF1a1637 and Tnaive phenotype for the other epitopes (Figure 4D). Similar phenotype patterns were observed among household-matched mothers, where SARS-CoV-2-specific T cell responses from RBD IgG+ mothers were mainly Tcm-like but mainly Tnaive in RBD IgG− mothers (Figure 4D).
SARS-CoV-2-specific T cells in RBD IgG+ children display prominent gene segment usage
TCRαβ repertoire determines the molecular signature underpinning epitope-specific T cell responses and affects T cell immunodominance, functionality, and protection (Messaoudi et al., 2002; Ndhlovu et al., 2015; Price et al., 2009; van de Sandt et al., 2019). To understand SARS-CoV-2-specific T cells at the molecular level in children, we determined TCRαβ repertoires for all 6 CD8+ and 1 CD4+ tetramer-specific T cell epitopes. Using direct ex vivo TAME and single-cell TCRαβ multiplex RT-PCR (Nguyen et al., 2018; Valkenburg et al., 2016), we dissected SARS-CoV-2-specific TCRαβ clonal composition and diversity in PBMCs from 32 children and 16 adults. This was compared with previously published TCR datasets for B7/N105, A2/S269, and A24/S1208 (Nguyen et al., 2021b; Rowntree et al., 2021b), resulting in 1,579 SARS-CoV-2-specific TCRαβ clonotypes from RBD IgG+ and IgG− children and adults (Table S2).
For pooled TCRαβ repertoire analyses, variable (Vα and Vβ) and junction (Jα and Jβ) gene usage were similar between RBD IgG+ children and adults (Figures 5A and 5B). Principal-component analyses (PCAs) of Vα, Vβ, Jα, and Jβ gene segments usage identified clustering segments specific to tetramer+ T cells. TCRαβ clonotypes within RBD IgG+ SARS-CoV-2-specific T cells closely clustered based on Vα and Vβ signatures (Figure 5A), suggesting closely related TCRαβ clonotypes, indicative of an effective epitope-specific T cell response. TCR repertoires in RBD IgG+ adults had clonal expansions of Vα, Jα, Vβ, and Jβ usage, which were not seen in children. For TCR sequences identified more than once, 59.72% were from RBD IgG+ adults, whereas only 34.72% were from RBD IgG+ children (Table S2). However, RBD IgG+ children did exhibit TRAV35/TRAJ42 clusters enriched by DPB4/S167-specific CD4+ T cell repertoires, as seen in RBD IgG+ adults (Figure 5A). TCRαβ features within RBD IgG− individuals were more diverse and dispersed (Figure S3A), in accordance with their predominantly naive phenotype (Figure 3B).
Figure 5. SARS-CoV-2-specific TCRαβ repertoires are comparable between children and adults
SARS-CoV-2-specific CD4+ and CD8+ T cells were enriched by TAME and then single-cell sorted for TCRαβ analysis.
(A) TCR landscapes displayed using kernel PCA projections of pooled SARS-CoV-2-specific TCRs were generated by TCRdist for all TCRαβ pairs. Vα, Jα, Vβ, and Jβ usage are depicted for RBD IgG+ children and adults. Encoding clone size is indicated by the symbol size.
(B) V and J gene segment usage and covariation in SARS-CoV-2-specific responses. Gene segment usage is shown in vertical stacks, with gene-gene pairing landscapes depicted by curved segments (thickness proportional to the number of TCRs with the gene pairing). Up or down arrows indicate the enrichment of gene segments relative to background frequencies, with each arrowhead indicating a 2-fold enrichment. The clonally expanded TCRs were reduced to a single data point for this analysis.
(A and B) Genes are colored based on frequency: red (most frequent), green (second most frequent), blue, cyan, magenta, and black, followed by assorted colors for rare frequencies.
(C) Circos plots of TRAV and TRBV clonotype pairings for B7/N105, A2/S269, A24/S1208, and DPB4/S167 epitopes in the RBD IgG+ children and adults; left arch and segment color indicate TRAV usage, and the right outer arch color depicts TRBV usage. The segments shown by the same color represent TCRαβ clonotypes with the same V segment usage but different CDR3 sequences. The number of sequences considered for each Circos plot is shown at the bottom right.
(D) Bubble plot showing the distribution (number of donors and frequency) of TRBV/TRAV gene usage for B7/N105 and DPB4/S167 epitopes in RBD IgG+ children and adults. Previously published adult TCR datasets for B7/N105, A2/S269, and A24/S1208 were included in the adult TCR analysis (Nguyen et al., 2021b; Rowntree et al., 2021b).
See also Figures S3 and S4.
We further dissected correlations between V and J segment usage within TCRα or TCRβ chains (Vα-Jα and Vβ-Jβ) and across TCRαβ chains (Vα-Vβ, Vα-Jβ, and Vβ-Jα). Repertoires in RBD IgG+ children and adults were biased and had 6-fold enrichment of TRAV35, with the majority joined to TRAJ42 (children: 6-fold; adults: 4-fold enrichment) and paired with 2-fold enrichment to TRBJ1-2 (children) or TRBJ2-1 (adults), which joined a range of different TRBV genes, mainly attributable to the DPB4/S167-specific CD4+ TCR repertoire (Figure 5B). TRBV27 was the most frequent Vβ gene segment (2-fold enrichment) in RBD IgG+ cohorts; however, this gene paired with different TRBJ, TRAV, and TRAJ segments, with the resulting TCRs restricted to several different epitopes (Figures 5B, 5C, and S3C). TCRαβ repertoires identified in RBD IgG+ children were comparable with repertoires identified in RBD IgG+ adults, with similar V and J segment usage. Conversely, there was a high degree of TCRαβ repertoire diversity in RBD IgG− children and adults (Figure S3B), especially within the pairing of TCRα and TCRβ gene segments, consistent with their naive T cell phenotype (Figure 3B).
To determine the overall TCRαβ diversity within each epitope between RBD IgG+ children and adults, circos and bubble plots revealed that SARS-CoV-2-specific TCRαβ repertoires were quite diverse, with an average of 14 and 16 TCRαβ clonotypes per donor/epitope in children and adults, respectively (Figures 5C, 5D, S3C, and S4). In contrast, RBD IgG− children and adults had an average of 9 TCRαβ clonotypes each (Table S2). RBD IgG+ children and adults displayed a skewed bias for selected TRAV and/or TRBV gene segments. For example, the B7/N105-, A1/ORF1a1637-, and B40/N322-specific repertoires had enrichments for TRBV27 gene usage in RBD IgG+ children and adults compared with RBD IgG− individuals (Figures 5C, 5D, and S3C; Table S2). In line with the previous report (Mudd et al., 2022), DPB4/S167-specific CD4+ T cells displayed a heavy bias for TRAV35/TRAJ42 gene segments, which accounted for the majority of the TCRα repertoire in RBD IgG+ children and adults (80.77% and 76.25%, respectively) but to a lesser extent in RBD IgG− children and adults (50.00% and 40.00%, respectively). These TRAV35/TRAJ42 clonotypes commonly paired with TRBVs 6-1, 6-2/3, 6-5, 6-6, 9, and 27, which were observed among both RBD IgG+ children and adults, suggesting common TCRαβ repertoire features between children and adults for DPB4/S167-specific CD4+ T cells (Figures 5C and 5D; Table S2).
Within several epitopes, CDR3α or CDR3β chains were shared between multiple individuals (n = 2–17) (Table S3). The shared CDR3α chains were detected for A1/ORF1a1637+ (TRAV9-2/TRAJ42 CALGGSQGNLIF), A2/S269+ (TRAV12-2/TRAJ30 CAVNRDDKIIF and TRAV12-1/TRAJ43 CVVNKGNDMRF/CVVNNNNDMRF/CVVNRNNDMRF), and B7/N105+ CD8+ TCR repertoires (TRAV8-2/8-4 with TRAJ48 CAVPNFGNEKLTF or TRAJ3 CAVPSYSSASKIIF). The shared CDR3β chains were observed for A2/S269+ (TRBV7-9 with TRBJ2-2 CASGEGNTGELFF or TRBJ2-7 CASSLDIEQYF), B7/N105+ (TRBV27/TRBJ1-5 CASSLSYRGNQPQHF, TRBV27/TRBJ1-1 CASSLSYRGNTEAFF, and TRBV2/TRBJ1-1 CASSEKTGGSTEAFF), and B40/N322+ CD8+ T cells (TRBV27/TRBJ1-4 CASSFSNEKLFF) (Table S3). This was particularly observed in the DPB4/S167-specific CD4+ TCR repertoire, where 16 diverse albeit prominent TRAV35/TRAJ42+ CDR3α chains (paired with a range of CDR3β chains) were observed in 22/31 individuals tested. Common CDR3 sequences were identified across repertoires of at least 2 individuals, but each participant used different variable gene segments. For instance, A1/ORF1a1637’s CDR3α CALNTGNQFYF was generated via arrangements of TRAV9-2 or TRAV29/DV5, whereas A2/S269’s CDR3β CASSLGGNQPQHF was generated by TRBV13 or TRBV27, and DPB4/S167’s CDR3β CASSLRGDYGYTF was produced by TRBV11-2 or TRBV6-2/6-3, suggesting that these CDR3β-loops are preferentially selected in the general population post-COVID-19 (Table S3).
Analyses of SARS-CoV-2-specific CD8+ and CD4+ T cells revealed skewed biases for TRAV and/or TRBV gene segments in RBD IgG+ children and adults, with RBD IgG+ adults displaying expansions across different gene segments that were not observed in RBD IgG+ children. Meanwhile, highly diverse TRAV and/or TRBV gene segment usage featured in RBD IgG− individuals.
Enriched SARS-CoV-2-specific TCRαβ motifs observed in RBD IgG+ children and adults
The preferential recombination of CDR3-loops was further investigated by analyses of TCR motifs with similar or near-identical CDR3 regions within each TCRα or TCRβ chain in RBD IgG+ individuals. This was quantified by a neighbor distance distribution plot, where lower average values of the distance distribution peak represented a more similar clustering of clonotypes (Figures 6A and S5A). Distribution of A2/S269-specific TCRαβ sequences differed between RBD IgG+ children and adults, mainly driven by an approximately bimodal distribution in the adult TCRα chain compared with a single peak distribution in children (children: α = 119.5, β = 96.3, αβ = 245.5; adults: α = 76.0, β = 75.3, αβ = 169.4 average distance value). In contrast, differences in A24/S1208 TCRαβ repertoire distribution were driven by the TCRβ chain, with children displaying a lower distance distribution than adults (children: α = 146.0, β = 80.5, αβ = 237.9; adults: α = 118.6, β = 137.6, αβ = 269.9). DPB4/S167-specific CD4+ TCRαβ sequences in both RBD IgG+ children and adults had the lowest distance distribution, with clustering driven by the TCRα chain (children: α = 10.6, β = 91.9, αβ = 109.3; adults: α = 13.7, β = 90.5, αβ = 112.5) (Figure 6A). Conversely, DPB4/S167-specific CD4+ TCRαβ sequences from RBD IgG− individuals clustered into 2 peaks, the lower peak for the conserved TCRα chain and the higher peak for the more diverse TCRβ chain (children: α = 56.2, β = 112.8, αβ = 185.2; adults: α = 63.4, β = 115.8, αβ = 201.0) (Figure S5A).
Figure 6. RBD IgG+ children and adults have prominent TCRαβ motifs
(A) Epitope-specific populations from RBD IgG+ children and adults were quantified for defining features using a neighbor distance distribution. A lower distribution peak indicates a more clustered epitope-specific TCRαβ repertoire, and the average distance values for each epitope are depicted within the plot. Analyses for both single and paired chains are shown, as indicated in the plot labels. PDF, probability density function.
(B) TCR logo representations of CDR3α and β sequence motifs for RBD IgG+ children and adults. Each TCR chain motif depicts the V (left side) and J (right side) gene frequencies, the CDR3 amino acid sequence (middle), and the inferred rearrangement structure (bottom bars colored by source region; V-region, light gray; insertions, red; diversity (D)-region, black; and J-region dark gray). The motif scores were determined by chi-squared, with values greater than 90 considered highly significant.
(C) Probabilities of generation (Pgen; log10 transformed) for all single TCRα and TCRβ chains from RBD IgG+ children and adults were generated with TCRdist. Box plots represent the median (middle bar), 75% quantile (upper hinge), and 25% quantile (lower hinge), with whiskers extending 1.5 times the inter-quartile range.
See also Figure S5.
TCRαβ sequences for each epitope were analyzed for key motifs within children and adults, with more TCRα and β motifs identified in adults than children (Figure 6B). Motifs were highly enriched and more prevalent in RBD IgG+ individuals (children: 1xα, 6xβ; adults 4xα, 8xβ), with only 1 weak motif identified in RBD IgG− adults (1xβ, chi-squared 90.2) (Figure S5B). The only prominent TCRα motif identified in children and adults was for DPB4/S167 dataset (TRAV35/TRAJ42 chi-squared children: 1,733.2, adults: 637.1), while TCRα motifs were also identified for A1/ORF1a1637-, B7/N105-, and A2/S269-specific TCRs in the RBD IgG+ adults (Figure 6B). Prominent TCRβ motifs for DPB4/S167 were identified in children (4xβ, chi-squared between 380.8 and 2,070.2) and adults (3xβ, chi-squared between 212.9–380.2), with multiple motifs sharing TRBJ1-2 usage and “CASSXRG” CDR3β-loop. Similar A1/ORF1a1637 TCRβ motifs were identified in children and adults (TRBV27/TRBJ2-2 children: 306.2, adults: 161.3), while the B7/N105-specific motif was more varied between cohorts (children: TRBV27 chi-squared 462.2; adults: TRBV25 chi-squared 462.2 and TRBV27 chi-squared 306.2), and the A2/S269-specific motifs were only identified in adults.
The probability of generating (Pgen) TCRα or TCRβ chains was calculated for each epitope (Figure 6C). Within the TCRα chain, the probability of generating α-chains specific for the DPB4/S167+CD4+ epitope in RBD IgG+ children and adults was increased compared with the Pgen values across the 6 SARS-CoV-2 CD8+ T cell epitopes. Conversely, the probability for recombination of the TCRβ chain specific to the DPB4/S167+CD4+ epitope was comparable with the CD8+ epitopes, particularly A1/ORF1a1637, A3/N361, and B7/N105. This lower Pgen for the TCRβ chain reflects an increased diversity in the TCRβ repertoire and suggests that any enrichment or skewed bias of particular motifs did not result from fewer constraints for recombination.
Overall, our data on high frequency, Tcm phenotype, and prominent TCRαβ motifs within SARS-CoV-2-specific T cells in seroconverted COVID-19 children suggest recruitment of T cell responses following SARS-CoV-2 infection and the subsequent establishment of memory T cell pools.
Discussion
The gradual opening of society due to the mass vaccination of adults and the elderly together with the rapid spread of the SARS-CoV-2 Omicron variant has increased the risk of COVID-19 in children (Delahoy et al., 2021; Mallapaty, 2021). Despite COVID-19 vaccination approval for children aged 5 and over in most countries, vaccination rates in children globally are lagging. Thus, it is of key importance to understand immunological responses to SARS-CoV-2 infection in unvaccinated children and their potential to establish immunological memory. Our study provides in-depth ex vivo profiling of circulating SARS-CoV-2-specific epitope-specific T and B cell immunity in children and adults. Our findings revealed lower ORF1a- and N-specific cellular responses in seroconverted convalescent children compared with adults. Spike-specific B cell responses were observed in seroconverted children and adults. Exposed seronegative children had naive T cells and diverse TCRαβ repertoires.
The lack of adaptive immunity in some children can be related to stronger early antiviral innate and mucosal immune response to SARS-CoV-2, likely contributing to rapid viral clearance and potentially explaining milder disease outcomes (Loske et al., 2022; Neeland et al., 2021a, 2021b; Pierce et al., 2020; Toh et al., 2022; Tosif et al., 2020). Alternatively, those seronegative children may have been exposed to a lower viral load, insufficient to induce adaptive immune responses. Reduced immune responses and lack of bystander T cell activation, resulting in less immunopathology and thus milder disease in children, has also been suggested (Brodin, 2022).
Prior to our study, the ex vivo epitope-specific CD8+ and CD4+ T cell responses following natural SARS-CoV-2 infection of children were ill-defined. Our in-depth quantitative, phenotypic, and clonal profiling of ex vivo epitope-specific T cell responses found that seroconverted, unvaccinated children had memory SARS-CoV-2-specific T cell profiles across 7 HLA class I and II SARS-CoV-2 epitopes and S-specific B cells. Lower SARS-CoV-2 tetramer+ T cell frequency and the proportion of CD8+ Tcm cells were observed in seroconverted children compared with adults, while the frequency of SARS-CoV-2-specific CD8+ Tscm cells was increased in children. Reduced CD4+ and CD8+ T cell responses in children with mild COVID-19 compared with adults were also observed following overlapping SARS-CoV-2 peptide pool stimulation (Cohen et al., 2021; Goenka et al., 2021; Moratto et al., 2020; Pierce et al., 2020). Diminished IFN-γ-producing cellular responses to N- and M-derived peptides and 2-fold increased responses to S-derived peptides were previously observed (Dowell et al., 2022). Our unbiased ex vivo analysis demonstrates a higher magnitude of tetramer-specific T cells directed at epitopes encompassing peptides derived from N (A3/N361, B7/N105, and B40/N322) and ORF1a (A1/ORF1a1637) compared with S-derived peptides (A2/S269, A24/S1208, and DPB4/S167) in both children and adults and a ∼3.9-fold lower frequency of internal protein-specific CD8+ T cells in children compared with adults, which was reflected by their immunodominance hierarchy. Differential peptide-stimulated T cell responses between children and adults could also, at least in part, reflect differences in antigen presentation and/or functionality of T cells.
Seroconverted children and adults displayed strong memory phenotypes of circulating SARS-CoV-2-specific CD8+ and CD4+ T cells. Tetramer+CD8+ T cells from seroconverted children had a reduced Tcm but increased Tscm phenotype compared with adults, while there was no difference in the CD4+ DPB4/S167-specific phenotypic profiles. Previous studies using in vitro peptide stimulation and IFN-γ readout showed reduced Tem phenotype within CD4+ T cells, with a substantially increased Tcm phenotype in children compared with adults (Cohen et al., 2021).
Our TCRαβ analysis revealed closely related TCRαβ clonotypes, with prominent SARS-CoV-2-specific TCR gene segments and motifs, within SARS-CoV-2-specific T cells in RBD IgG+ children and adults cluster according to their Vα, Vβ, Jα, and Jβ signatures, indicating selective recruitment of epitope-specific T cells following SARS-CoV-2 infection. These findings agree with studies that reported a biased TRAV and TRBV gene usage and prevalent motifs in adults during COVID-19 (Francis et al., 2022; Gangaev et al., 2021; Minervina et al., 2022; Nguyen et al., 2021b; Rowntree et al., 2021b; Shomuradova et al., 2020). Prior to our study, ex vivo epitope-specific TCR analysis in mildly infected children was non-existent. Bulk TCR analysis in MIS-C patients reported enrichment of TRBV11-2 in both the CD8+ and CD4+ TCR repertoire (Moreews et al., 2021; Porritt et al., 2021; Ramaswamy et al., 2021). Although we identified T cells expressing TRBV11-2 in our cohort, these were not expanded or enriched in mildly infected children. TRBV11-2 enrichment in MIS-C children may be specific for a different epitope or, as claimed by the authors, TRBV11-2 may bind a superantigen (SAg)-like motif on the S1 trimer in a HLA-independent manner (Porritt et al., 2021). However, it is unknown whether repeated SARS-CoV-2 infections and/or vaccinations in children and adults will skew the TCR repertoire in favor of certain epitopes or clonotypes.
Conversely, circulating tetramer-specific CD4+ and CD8+ T cells in exposed, seronegative children and adults displayed lower frequencies and a naive T cell phenotype, in accordance with their overall more diverse and unbiased TCRαβ repertoire observed across all T cell epitopes. Innate immune responses in a small subgroup of PCR+ seronegative children may have cleared the SARS-CoV-2 infection prior to eliciting circulating adaptive immunity, as evidenced by low frequencies of predominantly naive tetramer+ CD4+ and CD8+ T cells (Neeland et al., 2021a; Neeland et al., 2021b). This may also explain the observed diminished overlapping SARS-CoV-2 peptide pool stimulated CD4+ and CD8+ T cell response in SARS-CoV-2-infected children reported by others (Cohen et al., 2021; Goenka et al., 2021; Moratto et al., 2020; Pierce et al., 2020). Furthermore, we only defined circulating memory SARS-CoV-2-specific CD8+ and CD4+ T cells using children’s PBMCs, whereas a recent report identified cross-reactive CD8+ T cells in children only in the lymphoid tissue but not in blood (Niessl et al., 2021). Hence, there is a possibility that adaptive immune responses in the lymphoid tissue of these children was undetectable in the blood. However, our study used a sensitive tetramer enrichment technique to identify low-frequency SARS-CoV-2-specific CD8+ and CD4+ T cell populations. Even if transient SARS-CoV-2-specific T cell responses were only present early following SARS-CoV-2 infection, the detected tetramer+ T cells had a predominantly naive phenotype within the circulating T cell compartment in seronegative, exposed children. In contrast, SARS-CoV-2-specific Tcm and Tscm phenotypes were identified in seroconverted children.
We may have missed the window of opportunity for PCR testing in some families, like in seroconverted PCR-negative family 78 that had a clear SARS-CoV-2-specific T cell memory response, which is in accordance with previous studies that demonstrated high frequencies of predominantly memory A2/S269+, A24/S1208+, and B7/N105+ CD8+ T cells in convalescent SARS-CoV-2 PCR confirmed adults (Chaurasia et al., 2021; Habel et al., 2020; Nguyen et al., 2021b; Rowntree et al., 2021b). However, the exposed, PCR−, seronegative children and mainly adults from our cohort displayed low T cell frequencies and naive phenotypes, which closely resembled those of pre-pandemic adults, and were therefore likely not infected with SARS-CoV-2 (Francis et al., 2022; Gangaev et al., 2021; Habel et al., 2020; Nguyen et al., 2021b; Rowntree et al., 2021b). In addition, children are less likely to spread the virus to adult family members in a household setting (Zhu et al., 2021). Finally, the small subgroup of PCR+ seronegative children indicates that rapid viral clearance may have precluded a select group of children from generating adaptive immunological memory. As our number of PCR+, seronegative children is small (n = 11), our data should be verified in a larger cohort.
Our study provides clear evidence that children who seroconvert established memory CD8+ and CD4+ T cell responses to SARS-CoV-2 epitopes, which are highly conserved across VOC, including the Delta and Omicron, which together with their cross-reactive antibody response can likely protect them from severe COVID-19 when exposed to new variants. It is currently uncertain whether children who failed to seroconvert during their first SARS-CoV-2 infection can also benefit from rapid antiviral innate immunity when they encounter new VOC, including the Omicron strain. Hence, our study makes a case for why vaccination of children should be considered a major advantage, as these vaccines specifically aim to induce adaptive B and T cell memory responses in all children (Collier et al., 2021; Mudd et al., 2022; Oberhardt et al., 2021; Sahin et al., 2021). Future work understanding adaptive immune memory responses in COVID-19 vaccinated children will provide important insights into whether SARS-CoV-2-specific T cell (and B cell) responses induced by vaccination differ from those following SARS-CoV-2 infection.
Limitations of the study
Our COVID-19 patients originate from two countries (Australia and the USA) and thus do not represent the global population. In our study of 53 children, 37 were SARS-CoV-2 PCR+ of which 21% failed to seroconvert. Ct values could not be compared across cohorts, as SARS-CoV-2 PCR testing was performed across different locations, on different platforms, and for different antigens. As previously described (Toh et al., 2022), the majority of samples were tested using the LightMix Modular SARS and Wuhan CoV E-gene kit (Procop et al., 2021; TIB Molbiol, Berlin, Germany) with the RT-PCR performed on the LightCycler 480 II Real-Time PCR System (Roche). A subset of the Melbourne samples (family 102 and 104) was tested using an Allplex SARS-CoV-2 assay (Seegene), which has 4 gene targets, E, RDRP/S, and N. Los Angeles samples were tested using the CDC protocol for RT-PCR (Procop et al., 2021), which targets the SARS-CoV-2 N1/N2 genes, and the RT-PCR was performed on QuantStudio 5 (Applied Biosystems, Carlsbad, CA). Ct values were not available for the adult cohort.
STAR★Methods
Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| CD71 M-A712 BV421 | BD Biosciences | Cat#562995; RRID: AB_2737939 |
| CD4 SK3 BV650 | BD Biosciences | Cat#563875; RRID: AB_2744425 |
| CD27 L128 BV711 | BD Biosciences | Cat#563167; RRID: AB_2738042 |
| CD38 HIT2 BV786 | BD Biosciences | Cat#563964; RRID: AB_2738515 |
| CCR7 150503 AF700 | BD Biosciences | Cat#561143; RRID: AB_10562031 |
| CD14 MΦP9 APC-H7 | BD Biosciences | Cat#560180; RRID: AB_1645464 |
| CD19 SJ25C1 APC-H7 | BD Biosciences | Cat#560177; RRID: AB_1645470 |
| CD45RA HI100 FITC | BD Biosciences | Cat#555488; RRID: AB_395879 |
| CD8a SK1 PerCP-Cy5.5 | BD Pharmingen | Cat#565310; RRID: AB_2687497 |
| CD95 DX2 PE-CF594 | BD Biosciences | Cat#562395; RRID: AB_11153666 |
| PD-1 EH12.1 PE-Cy7 | BD Biosciences | Cat#561272; RRID: AB_10611585 |
| CD3 OKT3 BV510 | BioLegend | Cat#317332; RRID: AB_2561943 |
| HLA-DR L243 BV605 | BioLegend | Cat#307640; RRID: AB_2561913 |
| CD19 J4.119 ECD | Beckman Coulter | Cat#IM2708U; RRID:AB_130854 |
| IgM G20-127 BUV395 | BD Biosciences | Cat#563903; RRID:AB_2721269 |
| CD21 B-ly4 BUV737 | BD Biosciences | Cat#564437; RRID:AB_2738807 |
| IgD IA6-2 PE-Cy7 | BD Biosciences | Cat#561314; RRID:AB_10642457 |
| IgG G18-145 BV786 | BD Biosciences | Cat#564230; RRID:AB_2738684 |
| CD27 O323 BV605 | BioLegend | Cat#302829; RRID:AB_11204431 |
| Streptavidin PE | BD Biosciences | Cat#349023, RRID:AB_2868860 |
| Streptavidin APC | BD Biosciences | Cat#349024, RRID:AB_2868861 |
| Streptavidin PE | Thermo Fisher Scientific | Cat#S866 |
| Peroxidase AffiniPure goat anti-human IgG, Fcγ fragment specific | Jackson ImmunoResearch | Cat#109-035-098; RRID: AB_2337586 |
| Rat anti-human IgA mAb MT20, alkaline phosphate-conjugated | MabTech | Cat#3860-9A; RRID: AB_10736550 |
| anti-human IgM mAb MT22, biotinylated | MabTech | Cat#3880-6-250 |
| Biological samples | ||
| Blood samples (peripheral blood mononuclear cells (PBMCs) and plasma samples) from COVID-19 children and adults and healthy control individuals | Murdoch Children’s Research Institute, Royal Children’s Hospital, The University of Melbourne and Launceston General Hospital (Australia), Children’s Hospital Los Angeles (USA) | N/A |
| Chemicals, peptides, and recombinant proteins | ||
| 3,3’,5,5’-Tetramethylbenzidine (TMB) Liquid Substrate System for ELISA, peroxidase substrate | Sigma | Cat#T0440-1L |
| Alkaline phosphatase yellow (pNPP) liquid substrate for ELISA | Sigma | Cat#P7998-100ML |
| Pierce High Sensitivity Streptavidin-HRP | Thermo Fisher Scientific | Cat#21130 |
| SARS-CoV-2 RBD, delta RBD and N proteins | Amanat et al., 2020 | N/A |
| SARS-CoV-2 S2 protein | Sino Biologicals | Cat#40590-V08H1 |
| SARS-CoV-2 Spike protein | Juno et al., 2020 | N/A |
| SARS-CoV-2 peptides – A1/ORF1a1637 TTDPSFLGRY; A2/S269 YLQPRTFLL; A3/N361 KTFPPTEPK; A24/S1208 QYIKWPWYI; B7/N105-113 SPRWYFYYL; B40/N322 MEVTPSGTWL; and DPB4/S167 TFEYVSQPFLMDLE | GenScript | N/A |
| HLA-A∗01:01/ORF1a1637 monomer (SARS-CoV-2, ORF1a1637, TTDPSFLGRY) | Saini et al., 2021 | N/A |
| HLA-A∗03:01/N361 monomer (SARS-CoV-2, N361, KTFPPTEPK) | Peng et al., 2020 | N/A |
| HLA-B∗40:01/N322 monomer (SARS-CoV-2, N322, MEVTPSGTWL) | Peng et al., 2020 | N/A |
| HLA-A∗02:01/S269 monomer (SARS-CoV-2, S269, YLQPRTFLL) | Habel et al., 2020 | N/A |
| HLA-B∗07:02/N105 monomer (SARS-CoV-2, N105, SPRWYFYYL) | Nguyen et al., 2021b | N/A |
| HLA-A∗24:02/S1208 monomer (SARS-CoV-2, S1208, QYIKWPWYI) | Nguyen et al., 2021b | N/A |
| HLA-DPA1∗01:03/DPB1∗04:01/S167 monomer (SARS-CoV-2, S167, TFEYVSQPFLMDLE) | Mudd et al., 2022 | N/A |
| Software and algorithms | ||
| R v3.6.2 | The Comprehensive R Archive Network | https://cran.r-project.org |
| Circlize R package | Gu et al., 2014 | https://cran.r-project.org/package=circlize |
| ggplot R package | Wickham, 2016 | https://ggplot2.tidyverse.org |
| TCRdist pipeline | Dash et al., 2017 | https://github.com/phbradley/tcr-dist |
| lme4 R package | Bates et al., 2014 | https://www.jstatsoft.org/article/view/v067i01/ |
| FlowJo v10.5.3 | FlowJo | https://www.flowjo.com |
| Prism v8.3.1 or v9.1.0 | GraphPad | https://www.graphpad.com |
| BD FACS Diva v8.0.1 | BD Biosciences | https://www.bdbiosciences.com/en-us/instruments/research-instruments/research-software/flow-cytometry-acquisition/facsdiva-software |
| Other | ||
| Anti-PE MicroBeads | Miltenyi Biotec | Cat# 130-048-801, RRID: AB_244373 |
| Anti-APC MicroBeads | Miltenyi Biotec | Cat# 130-090-855, RRID: AB_244367 |
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Katherine Kedzierska (kkedz@unimelb.edu.au).
Materials availability
This study did not generate new unique reagents.
Experimental model and subject details
Families experiencing COVID-19 symptoms and their household contacts were recruited at the Murdoch Children’s Research Institute and Royal Children’s Hospital (Victoria, Australia) from June 2020 to October 2021. The cohort consisted of 36 children (4 months-17 years) and 23 mothers (28-48 years). Due to HLA allele typing some families were excluded from the child-mother matched tetramer+ T cell analysis (Figure 4). All but six children recruited into the household cohort were PCR+ for SARS-CoV-2 as listed in Table S1. An additional cohort of SARS-CoV-2 PCR+ children were recruited at the Children’s Hospital Los Angeles (n=13, 1-14 years) between June 2020 and April 2021. SARS-CoV-2 PCR+ adults were recruited from the community at convalescence (23-91 years). Individuals were determined to be symptomatic if they displayed 2 or more symptoms between days -2 to +14 of PCR testing. Pre-pandemic SARS-CoV-2-unexposed children and adults were recruited as healthy controls from Launceston General Hospital (Tasmania, Australia) and the University of Melbourne (Victoria, Australia). PBMCs were isolated from heparinized peripheral blood by Ficoll-Paque separation, plasma was collected for serology and DNA isolated from granulocytes was sent for HLA typing by VTIS (Victoria, Australia), essentially as described (Nguyen et al., 2021b). The demographics of all participants are listed in Table S1.
All human experimental work was conducted according to the Declaration of Helsinki principles and the Australian National Health and Medical Research Council Code of Practice. All blood donors or their legal guardians provided written informed consent. Ethics approval was granted from the Human Research Ethics Committee (HREC) of The Royal Children’s Hospital (HREC/63666/RCHM-2019) for household families, the Children’s Hospital Los Angeles (CHLA-20-00124) for the remaining COVID-19 exposed children, and the Tasmanian Health and Medical (H0017479) for healthy children donors. Human ethics was also granted from the Royal Melbourne Hospital HREC (HREC/66341/MH-2020) for COVID-19 exposed adults. Human ethics was also approved by the University of Melbourne (Ethics ID #1443389.4, #1955465, 2020-20782-12450-1, 2022-23719-25217-1).
Method details
SARS-CoV-2-specific antibodies and B cells
Assessment of IgM, IgG and IgA antibodies against SARS-CoV-2 (ancestral) RBD and N proteins were performed in-house by ELISA (Amanat et al., 2020; Nguyen et al., 2021b; Rowntree et al., 2021a). IgG antibodies were also assessed against S2 (Sino Biologicals) and delta RBD. Recombinant SARS-CoV-2 proteins (ancestral RBD, delta RBD and N) were produced using a mammalian cell protein expression system as described by Amanat et al. (2020). Absorbance for IgM and IgG titres were read at 450nm, while IgA was at 405nm. End-point titres were determined as essentially as described (Nguyen et al., 2021b; Rowntree et al., 2021a). Seroconversion of the children (0-17 years) and adults were defined when titres were above the mean plus 2 standard deviations of healthy non-COVID-19 children and adults, respectively.
Cells remaining from the TAME-flow through fractions (described below) were used to measure Spike-specific B cell responses, as described (Juno et al., 2020; Nguyen et al., 2021b), with Spike recombinant probes conjugated to PE fluorochromes. Stained cells were washed and fixed before acquisition on a BD LSRII Fortessa.
SARS-CoV-2 tetramer+ T cell responses
HLA class I tetramers HLA-A∗02:01/S269 (YLQPRTFLL), HLA-A∗24:02/S1208 (QYIKWPWYI) and HLA-B∗07:02/N105 (SPRWYFYYL) have previously been generated and validated as previously described (Habel et al., 2020; Nguyen et al., 2021b; Rowntree et al., 2021b). HLA-A∗01:01/ORF1a1637 (TTDPSFLGRY), HLA-A∗03:01/N361 (KTFPPTEPK) and HLA-B∗40:01/N322 (MEVTPSGTWL) class I tetramers were generated and validated using tetramer staining of T cell lines as described (Nguyen et al., 2021b). The HLA class II tetramer HLA-DPA1∗01:03/DPB1∗04:01/S167 (TFEYVSQPFLMDLE) was generated and validated essentially as described (Mudd et al., 2022).
One vial of cryopreserved PBMCs (5-10x106) were stained with a class I and/or class II SARS-CoV-2 tetramer on PE and/or another class I tetramer on APC. Cells underwent tetramer-associated magnetic enrichment (TAME) as described (Nguyen et al., 2021a, 2021b). Both class I and class II tetramers on PE were exclusively stained on CD8+ or CD4+ T cells, respectively, with minimal to zero non-specific binding. All flow-through fractions were negative for any remaining tetramer+ cells and were cryopreserved for B cell analysis.
Following enrichment, tetramer+ T cells were indexed single-cell sorted on a BD FACSAria III for TCR analysis essentially as described (Nguyen et al., 2021b). Multiplex-nested RT-PCR-amplified CDR3α and CDR3β regions from single cells (Nguyen et al., 2021b; Valkenburg et al., 2016) were analyzed by IMGT/V-QUEST.
Quantification and statistical analysis
TCRαβ statistical analysis
Single-chain alpha and beta TCR sequences were paired through the TCRdist pipeline for modelling amino acid motifs, TCR landscapes, neighbour distance distribution and probabilities of generation (Pgen) (Dash et al., 2017). Previously published TCR datasets for B7/N105, A2/S269, and A24/S1208 were included in the analysis (Nguyen et al., 2021b; Rowntree et al., 2021b). Testing for variations in Pgen across epitope specificities was performed essentially as described (Nguyen et al., 2021b) using linear mixed models (Bates, 2014). Data visualization for circos plots was performed in R using a package for circular layout (Gu et al., 2014)and graphics generation (Wickham, 2016). The subsampled and full repertoires are detailed in Table S2.
Amino acid sequence identity
Amino acid sequence identity of the viral peptides of the SARS-CoV-2 tetramers across the different VOC was determined using outbreak.info (Mullen et al., 2020). Mutations were reported in Figure S2B when the mutation was detected in ≥0.5% of the total sequences in the database for a single VOC (Bates et al., 2014; Dash et al., 2017; Valkenburg et al., 2016).
Statistical analysis
Statistical significance of nonparametric datasets (two-tailed) were determined using GraphPad Prism v9 software. Mann-Whitney U-test (unpaired) and Wilcoxon sign-rank test (paired) was used for comparisons between two groups. Kruskal-Wallis test (unmatched) with Dunn’s multiple comparisons was used to compare more than two groups. Tukey’s multiple comparison test compared row means between more than two groups, while Sidak’s multiple comparison test compared column means between multiple groups.
Acknowledgments
We thank the participating families involved in the study and Kate Dohle, Jill Nguyen, Isabella Overmars, Philip Sutton, and Daniel Pellicci for their support with the cohorts. We thank the Melbourne Cytometry Platform for the technical assistance. This work was supported by the NHMRC Leadership Investigator Grant to K.K. (1173871); the NHMRC Emerging Leadership Level 1 Investigator Grant to T.H.O.N. (#1194036) and A.K.W. (#1173433); the Research Grants Council of the Hong Kong Special Administrative Region, China (#T11-712/19-N) to K.K.; the Doherty Collaborative Seed grant to M.R.N., A.K.W., S.J.K., S.T., C.E.v.d.S., and K.K.; the Victorian Government (S.J.K. and A.K.W.); the Clifford Craig Foundation Project Grant to K.L.F. and K.K. (#186); the MRFF award (#2002073) to S.J.K. and A.K.W.; the MRFF Award (#1202445) to K.K.; the MRFF Award (#2005544) to K.K., S.J.K., and A.K.W.; the NHMRC program grant 1149990 (S.J.K.); the NHMRC project grant 1162760 (A.K.W.); the NIH contract CIVC-HRP (HHS-NIH-NIAID-BAA2018) to P.G.T. and K.K.; and the NIAID UO1 grant 1U01AI144616-01 “Dissection of Influenza Vaccination and Infection for Childhood Immunity” (DIVINCI) to F.K., P.G.T., K.K., and P.S.P. S.J.K. is supported by the NHMRC Senior Principal Research Fellowship (#1136322). C.E.v.d.S. received funding from the European Union’s Horizon 2020 research program under the Marie Skłodowska-Curie grant agreement (#792532) and is supported by the ARC-DECRA Fellowship (#DE200100185) and University of Melbourne Establishment grant. J.R. is supported by an ARC Laureate Fellowship. J.C.C. and P.G.T. are supported by the NIH NIAID R01 AI136514-03 and the ALSAC at St. Jude. P.V.L. is supported by an NHMRC Career Development Fellowship. Work in the F.K. laboratory was partially funded by the Centers of Excellence for Influenza Research and Surveillance (CEIRS, #HHSN272201400008C), the Centers of Excellence for Influenza Research and Response (CEIRR, #75N93021C00014), by the Collaborative Influenza Vaccine Innovation Centers (CIVICs, #75N93019C00051), and by institutional funds. We acknowledge the RCH Foundation for their support of the study and recruitment of the families involved. Recruitment of the household contacts was enable by COVID-19 Grant, Department of Jobs, Precincts and Regions, Victoria State Government and Research Grant, DHB Foundation, Australia. The graphical abstract was created with BioRender.com.
Author contributions
K.K. led the study. K.K. and C.E.v.d.S. supervised the study. L.C.R., T.H.O.N., L.K., C.E.v.d.S., and K.K. designed the experiments. L.C.R., T.H.O.N., L.K., L.F.A., E.B.C., X.J., and H.-X.T. performed and analyzed the experiments. E.B.C. and H.A.M. analyzed the data. J.P., A.A.M., M.V.P., P.C., A.K.W., F.A., F.K., S.J.K., and J.R. provided the crucial reagents. M.R.N., E.K.A., S.S., K.L.F., J.J., P.S.P., P.V.L., K.A.B., D.A.W., P.G.T., S.T., and N.W.C. recruited the patient cohorts. L.C.R., T.H.O.N., J.C.C., L.F.A., H.A.M., P.G.T., and C.E.v.d.S. analyzed the TCR sequences. L.C.R., T.H.O.N., L.K., P.G.T., S.T., C.E.v.d.S., and K.K. provided the intellectual input into the study design and data interpretation. L.C.R., T.H.O.N., C.E.v.d.S., and K.K. wrote the manuscript. All authors reviewed and approved the manuscript.
Declaration of interests
SARS-CoV-2 serological assays (US Provisional Application #62/994252, 63/018457, 63/020503, and 63/024436) and NDV-based SARS-CoV-2 vaccines (US Provisional Application #63/251020) list F.K. as a co-inventor. F.A. is also a co-inventor of the serological assay patents. Patent applications were submitted by the Icahn School of Medicine at Mount Sinai. Mount Sinai has spun out a company, Kantaro, to market serological tests for SARS-CoV-2. F.K. has consulted for Merck and Pfizer (before 2020) and is currently consulting for Pfizer, Third Rock Ventures, Seqirus, and Avimex. F.K. laboratory collaborates with Pfizer on the animal models of SARS-CoV-2. P.G.T. is on the SAB of Immunoscape and Cytoagents, has consulted for JNJ, received travel support and/or honoraria from Illumina, 10X Genomics, and has patents on TCR discovery and expression. P.S.P. received research grants from Astra Zeneca and Pfizer and has served on advisory boards for Sanofi Pasteur and Seqirus.
Supplemental information
Download all supplementary files included with this articleHelp
Download : Download Acrobat PDF file (8MB)
Document S1. Figures S1–S5 and Table S1.
Download : Download spreadsheet (131KB)
Table S2. TCRαβ repertoires for SARS-CoV-2 CD4+ and CD8+ T cell epitopes, related to Figure 5.
Download : Download spreadsheet (37KB)
Table S3. SARS-CoV-2-specific CD4+ and CD8+ TCRαβ with common CDR3α or β loops, related to Figure 5.
Download : Download Acrobat PDF file (15MB)
Document S2. Article plus supplemental information.
Data and code availability
•
TCR sequence data (Table S2) have been deposited into VDJdb [https://vdjdb.cdr3.net].
•
The published article includes all datasets generated or analyzed during the study.
•
This paper does not report original code.
•
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
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