Although the two‐dose mRNA vaccination regime provides protection against SARS‐CoV‐2, older adults have been shown to exhibit poorer vaccination responses. In addition, the role of vaccine‐induced T‐cell responses is not well characterised. We aim to assess the impact of age on immune responses after two doses of the BNT162b2 mRNA vaccine, focussing on antigen‐specific T‐cells. A prospective 3‐month study was conducted on 15 young (median age 31 years, interquartile range (IQR) 25–35 years) and 14 older adults (median age 72 years, IQR 70–73 years). We assessed functional, neutralising antibody responses against SARS‐CoV‐2 variants using ACE‐2 inhibition assays, and changes in B and T‐cell subsets by high‐dimensional flow cytometry. Antigen‐specific T‐cell responses were also quantified by intracellular cytokine staining and flow cytometry. Older adults had attenuated T‐helper (Th) response to vaccination, which was associated with weaker antibody responses and decreased SARS‐CoV‐2 neutralisation. Antigen‐specific interferon‐γ (IFNγ)‐secreting CD4+ T‐cells to wild‐type and Omicron antigens increased in young adults, which was strongly positively correlated with their neutralising antibody responses. Conversely, this relationship was negative in older adults. Hence, older adults' relative IFNγ‐secreting CD4+ T cell deficiency might explain their poorer COVID‐19 vaccination responses. Further exploration into the aetiology is needed and would be integral in developing novel vaccination strategies and improving infection outcomes in older adults.
Keywords: antigen‐specific T‐cell response; COVID‐19 mRNA vaccine; IFN‐γ; immunosenescence; older adults
We conducted a prospective 3‐month immunophenotyping of 15 young (median 31 years) and 14 older adults (median 72 years) BNT162b2 vaccinees. Interferon‐γ(IFNγ)‐secreting CD4+ T‐cells to wild‐type and Omicron antigens increased in young adults, which was strongly positively correlated with their neutralising responses. Conversely, this relationship was negative in older adults. Hence, older adults' relative IFNγ‐secreting CD4+ T‐cell deficiency might explain their attenuated T‐helper response to vaccination, which in turn was associated with weaker neutralising antibody responses.
- Abbreviations
- APC antigen presenting cells
- EAE experimental autoimmune encephalomyelitis
- GM‐CSF granulocyte‐macrophage colony‐stimulating factor
- IFNγ interferon‐gamma
- Ig immunoglobulin G
- IL interleukin
- IQR interquartile range
- MBC memory B cell
- MHC major histocompatibility complex
- mRNA messenger ribonucleic acid
- NC nucleocapsid
- SD standard deviation
- Tfh T‐follicular helper
- Th T‐helper
- TNFα tumour necrosis factor‐alpha
- VOCs variants of concern
- WT wild‐type
Older adults, especially those who are frail, had notably worse outcomes in the COVID‐19 pandemic. Due to a waning vaccination response with age, this disparity continues to the present day when COVID‐19 vaccination has been applied globally. A major contributor to this attenuated vaccination response is immunosenescence, the age‐related physiological alterations of cellular and humoral immunity and inflammaging, a state of persistent elevation of circulating pro‐inflammatory proteins secondary to continuous antigenic stimulation (Fulop et al., [
We recruited 22 COVID‐19 community‐dwelling adults, 15 young (median [interquartile range (IQR)] age, 31 years [25–35]) and 14 older (72 years [70–73]). They went on to receive two BNT162b2 vaccine doses (Table S1) and were followed up for 3 months. About half (51.7%) were male, 96.6% were Chinese. Older adults performed poorer on functional tests. All participants did not have detectable COVID‐19 infection throughout the course of this study. This was screened by the detection of antibodies to the nucleocapsid (NC) protein which helps to identify individuals with an adaptive immune response to SARS‐CoV‐2 (Figure 1a). Younger adults had significantly more anti‐spike immunoglobulin G (IgG) compared to older adults at day 28 (young, mean ± standard deviation (SD): 0.26 ± 0.15 vs. old: 0.10 ± 0.08, p = 0.01), which was seen previously (Collier et al., [
To assess the humoral immune response to COVID‐19 vaccination, blood was collected from SARS‐CoV‐2–naive volunteers prior to mRNA vaccination (D0), 1 month after the first vaccination (D28) and 2 months after the second vaccination (D100). Vaccination was able to induce neutralising antibody responses in young adults against the wild‐type (WT) strain as well as the Alpha, Beta, Gamma and Delta variants after the first vaccination, and was further significantly increased after the second vaccination (WT, mean ± SD: young at D0 6.14 ± 3.53 vs. D100 36.28 ± 19.83, p < 0.0001 compared to old at D0 3.48 ± 3.94 vs. D100 45.86 ± 31.70, p = 0.01; Alpha: young at D0 8.80 ± 4.29 vs. D100 35.87 ± 17.23, p < 0.0001 compared to old at D0 7.44 ± 2.88 vs. D100 25.42 ± 19.64; Beta: young at D0 6.68 ± 2.58 vs. D100 25.93 ± 12.21, p < 0.0001 compared to old at D0 8.05 ± 3.84 vs. D100 22.52 ± 15.46; Gamma: young at D0 7.83 ± 2.31 vs. D100 22.46 ± 9.67, p < 0.0001 compared to old at D0 7.41 ± 2.30 vs. D100 18.05 ± 11.65; Delta: young at D0 6.87 ± 2.80 vs. D100 41.45 ± 20.15, p < 0.0001 compared to old at D0 8.75 ± 2.60 vs. D100 30.88 ± 27.09) (Figure 1b and Figure S3, Table S2 and Figure S2). Although increases in neutralising antibody responses were also observed in the older group, these changes were not significant in all strains except WT. An increase in neutralising antibody responses against Omicron variants B.1.1529 or BA.2 was not observed in either group after vaccination.
In B‐cells, vaccination resulted in a significant expansion of CD19+ B cells in younger but not in older adults (young, mean ± SD at D0: 4.52 ± 1.93 vs. D100: 7.11 ± 2.53, p = 0.047) (Figure 1c, Table S3 and Figure S1). Similarly, younger adults had significantly increased IgG+ memory B‐cells (MBCs) at D100 compared to baseline (young, mean ± SD at D0 61.57 ± 7.22 vs. D100 68.07 ± 8.53, p = 0.0006), but this increase older adults was not significant across the time‐points (Figure 1d). In contrast, both young and older participants showed a reduction in IgA+ MBCs at D100 compared to D0 (young, mean ± SD at D0 27.12 ± 5.54 vs. D100 18.80 ± 6.92, p = 0.0002 compared to old at D0 36.03 ± 11.67 vs. D100 23.28 ± 9.07, p = 0.0055) (Figure 1e).
Although the humoral response plays a major role in protection against initial infection, cellular immunity might help to limit disease progression when neutralising antibody titres decline. The effects of mRNA vaccination were thus examined in T‐cells.
Among the CD4+ T‐cells, only the young showed significant increases in the frequencies of circulating T‐follicular helper (TfH, ICOS+PD‐1 + CXCR5 + CD4+) cells (young, mean ± SD at D0 0.37 ± 0.11 vs. D100 0.54 ± 0.22, p = 0.03 compared to old at D0 0.47 ± 0.35 vs. D100 0.37 ± 0.09, Figure 1f, Table S3 and Figure S1) and CCR6+ T‐helper 17 (Th17, CCR6 + CD4+) cells with vaccination (young, mean ± SD at D0 2.76 ± 1.37 vs. D100 6.39 ± 2.53, p = 0.0001 compared to old at D0 3.16 ± 2.98 vs. D100 5.97 ± 5.62, Figure 1g). These CD4+ T‐cell differences may contribute to the disparate humoral responses seen.
For CD8+ cells, a higher frequency of CD45RA + CD27‐Effector Memory‐Expressing CD45RA (T
Given the well‐established impact of immunosenescence on T cells, we performed intracellular cytokine staining and flow cytometry to characterise antigen‐specific T‐cell effector responses after vaccination. CD4+ T‐cells that were responsive to antigen stimulation were defined as CD4 + CD154+ T‐cells. Older adults did not show a significant expansion of CD4+ CD154+ T‐cells in response to WT and Omicron BA.2 spike, and NC antigens over time. In contrast, a significant increase in the frequency of CD4 + CD154+ T‐cells was observed in young adults at D100 in response to WT (mean ± SD, D0 0.059 ± 0.069 vs. D100 0.21 ± 0.19, p = 0.050, Tables S3 and S4), Omicron (D0 0.052 ± 0.095 vs. D100 0.22 ± 0.21, p = 0.030) and NC (mean ± SD, D0 0.047 ± 0.073 vs. D100 0.16 ± 0.14, p = 0.034) antigen stimulations. The frequency of antigen‐responsive cells was increased in the young adults after the first dose (D28) but the increase was not significant.
The changes in the proportion of polyfunctional CD4+ cells expressing multiple cytokines were assessed by Boolean analysis following vaccination in both groups. The proportion of polyfunctional CD4+ cells expressing at least 3 cytokines was increased in vaccinated young adults after stimulation with WT or Omicron spike (D0 vs. D100: WT spike 4.1% vs. 19.2%, p = 0.046; Omicron spike 4% vs. 20.2%, p = 0.010; NC 4.1% vs. 9.8%) whereas the frequency of these cells declined in the older adults (D0 vs. D100: WT spike 11.3% vs. 2.1%; Omicron spike 20% vs. 1.2%; NC 10% vs. 3.6%, Figure 2a). Expansion of two cytokines‐producing cells was observed following vaccination in both groups after WT and Omicron antigen stimulations.
A significant increase in the frequencies of GM‐CSF + IFNγ+IL2 + TNFα+ (WT, mean ± SD: D0 0 vs. D100 0.002 ± 0.002, p = 0.011; Omicron: D0 0 vs. D100 0.002 ± 0.002, p = 0.016, Figure 2b), IFNγ+TNFα+ (WT: D0 0.002 ± 0.003 vs. D100 0.019 ± 0.013, p = 0.010; Omicron: D0 0.002 ± 0.002 vs. D100 0.025 ± 0.016, p = 0.0034, Figure 2c) and IFNγ+ T‐cells (WT: D28 0.00027 ± 0.00050 vs. D100 0.002 ± 0.002, p = 0.025; Omicron: D0 0.004 ± 0.006 vs. D100 0.012 ± 0.006, p = 0.039, Figure 2d) was observed in the young adults at D100 compared to baseline after stimulation with WT or Omicron spike. However, the expansion of these T‐cell subsets was not apparent in the older adults with any of the antigen stimulations. The frequencies of these T‐cell subsets after Omicron stimulation were also significantly higher in the young adults than the old at D100 (GM‐CSF + IFNγ+IL2 + TNFα+, mean ± SD: young 0.002 ± 0.002 vs. old 0.0001 ± 0.0002, p = 0.027, Figure 2b; IFNγ+TNFα+: young 0.025 ± 0.016 vs. old 0.003 ± 0.006, p = 0.0034, Figure 2c; and IFNγ+: young 0.012 ± 0.006 vs. old 0.002 ± 0.002, p = 0.0015, Figure 2d). There were no significant changes in these T‐cell subsets from baseline to D28 with antigen stimulation.
In addition, we observed positive correlations between WT and Omicron spike‐stimulated IFNγ+ expressing CD4+ cells with neutralising antibody responses against the WT (r = 0.74, p = 0.01) and Omicron variants (r = 0.60, p = 0.049) respectively at D100 (Figure 2e). Conversely, this correlation was negative, though not significantly so, in the older adults for either variant.
In response to WT spike stimulation of the CD8+ population, young adults only showed expansion of TNFα+ and IL‐2+ − expressing CD8+ T‐cells, and at D28 was significantly higher than that observed in the older adults. A higher frequency of TNFα+ and IL‐2+ − expressing CD8+ T‐cells was also observed in the young adults compared to the older adults at D100 after Omicron spike stimulation but this was not significant (Figure S4).
In summary, we found that community‐dwelling older adults who completed the BNT162b2 primary vaccination regime exhibited weaker neutralisation responses to SARS‐CoV‐2. This finding may be accounted for by the lack of Tfh cell expansion which is central in helping B‐cells generate high‐affinity antibodies, long‐lived plasma cells, and memory B‐cells (Luo & Yin, [
Neutralisation against the Omicron variants was not observed in both groups after vaccination. There are two possible reasons for this. First, the Omicron variants display mutations in the Spike N‐terminal and receptor‐binding domains that are associated with immune escape (Liu et al., [
SARS‐CoV‐2 Spike‐specific CD4+ T‐cells were shown to exhibit polyfunctionality, with younger adults showing greater expansion of CD4+ T‐cells expressing three or more cytokines after vaccination. In particular, polyfunctional CD4+ T‐cell subsets expressing IFNγ increased significantly in the vaccinated young adults in response to WT and Omicron spike stimulation but not in the older adults. The increase in polyfunctional T‐cells may indicate enhancements in recall functions and immune protection, and lower numbers in older adults may contribute to suboptimal protection after vaccination. IFNγ‐only‐expressing CD4+ T‐cells were positively correlated with neutralising response to WT and Omicron in young adults at D100, which has not been previously described. This relationship is markedly absent in older adults. This finding reiterates the role of IFNγ for COVID‐19 mRNA vaccine‐induced protection and relative IFNγ‐deficiency in older adults could explain the poorer vaccination responses observed. CD8+ T‐cells expressing IL‐2 and TNFα were the main Spike‐specific responses in young vaccinees but not in older adults. No differences were observed in IFNγ‐expressing and polyfunctional CD8+ cells after vaccination between both groups. CD8 responses to antigen stimulation are less pronounced because whole protein antigens, used in this study, undergo processing by host APCs via the exogenous pathway which favours MHC class II presentation and CD4+ T‐cell stimulation, whereas CD8
The Th1 axis is implicated in viral defence and has been previously described in studies on immunosenescence (Crooke et al., [
The relative IFNγ‐secreting CD4+ T cell deficiency we report in our study may be a potential mechanism for this immunological shift to type 2 responses. The consequent susceptibility to infections is clearly demonstrated in tuberculosis (TB) and varicella‐zoster virus (VZV) reactivation, two key conditions that arise in ageing, as well as influenza. First, the TB epidemic is most prevalent in older adults, with a peak in those 65 years and older. This rise in incidence is mostly linked to reactivation, which has been attributed to immunosenescence. TB mortality rate remains the highest in older patients, specifically in those 70 years and older (Caraux‐Paz et al., [
Our sample size is small and interrogation on a larger scale is needed to confirm our findings. This small sample size is due to multiple logistical constraints. The vaccination roll‐out was pushed rapidly, with priority given to those above 70 years old. Hence, a large proportion of older adults were vaccinated before ethical approval was able to be obtained. Additionally, many older adults declined participation in view of the multiple site visits required during the ongoing pandemic, and home visits were highly discouraged due to the infection risk. Recruitment was stopped when the government announced for vaccination‐differentiated measures in the community as it was deemed that those left unvaccinated were unlikely to accept vaccination. As our sample size was small, we could not control for potential confounders on the immune system such as muscle function. This exploration may warrant a larger study. In view of our sample quantity restrictions, we were unable to analyze SARS‐CoV2 spike‐ and nucleocapsid‐specific B cell activity, as done previously (Muecksch et al., [
Altogether, we demonstrate that IFNγ is a key player in the age‐related attenuated T‐cell help and subsequent reduced B‐cell and neutralisation response to vaccination. This finding suggests IFNγ therapy may be promising in improving vaccination and infection outcomes in older adults. Further exploration into the underlying aetiology, such as compromised muscle function or obesity in older adults affecting IFNγ regulation, is needed. Hence, improving understanding of age‐differentiated vaccination response can lead to novel interventions to prevent or reverse its onset and increase healthspan in our older adults.
VWTH conceptualised the study, obtained ethics approval, oversaw subject recruitment, analysed and interpreted the data and wrote the manuscript. LHB designed and performed the experiments, analysed and interpreted the data and wrote the manuscript. BS, RG, NYJT, XQ and KP conducted, analysed and interpreted the experiments. JZC and JC prepared the figures. ZJ oversaw subject recruitment. BK and VA conceptualised the study. SWF, LR and LFPN obtained ethics approval and oversaw subject recruitment. CWMO conceptualised the study, obtained ethics approval, oversaw subject recruitment and edited the manuscript. PAM conceptualised the study, interpreted the data and edited the manuscript. All authors have read and agreed to the published version of the final manuscript.
We thank Diego Araujo from the National University Health System Research Support Unit for creating the graphical abstract.
This work was supported by the National University Singapore Infectious Diseases Translational Research Programme Seed Fund, the National University Hospital (NUH) COVID‐19 Adhoc Fund (ref: NUHSRO/2021/032/NUSMedCovid/08) and the Singapore National Medical Research Council COVID‐19 Research Fund (COVID19RF‐001; COVID19RF‐007; COVID19RF‐0008; COVID19RF‐060). Open access funding is provided by NUH. V.W. T. H is funded by the National Medical Research Council (NMRC) MOH‐RTF21jun‐0005. C.W.M.O. is funded by NMRC CSAINV21nov‐0003. L.R. and L.F.P. were supported by grants from the Singapore National Medical Research Council COVID‐19 Research Fund (COVID19RF‐0011; COVID19RF‐0018; COVID19RF‐0060), US Food and Drug Administration (#75F40120C00085), LR was supported by a Start‐up University Grant from the Singapore Ministry of Education (SUJ#022388‐00001).
C.W.M.O. reports speaker fees from Qiagen travel support from MSD and grant from Institut Merieux outside this work.
All data are included in the manuscript and Appendix S1. Demographic, clinical and immunological data are available from the authors upon reasonable request, due to privacy protection.
SCOPE Cohort Study Group: Siti Naqiah Amrun
GRAPH: Appendix S1
By Vanda W. T. Ho; Low Heng Boon; Jianzhou Cui; Zhou Juequn; Bhuvaneshwari Shunmuganathan; Rashi Gupta; Nikki Y. J. Tan; Xinlei Qian; Kiren Purushotorman; Siti Naqiah Amrun, Investigator; Yun‐Shan Goh, Investigator; Matthew Zi‐Rui Tay, Investigator; Angeline Rouers, Investigator; Zi Wei Chang, Investigator; Nicholas Kim‐Wah Yeo, Investigator; Yi‐Hao Chan, Investigator; Pei Xian Hor, Investigator; Chiew Yee Loh, Investigator; Yuling Yang, Investigator; Anthony Torres Ruesta, Investigator; Vanessa Neo, Investigator; Wendy Yehui Chen, Investigator; Estelle Yi‐Wei Goh, Investigator; Alice Soh‐Meoy Ong, Investigator; Adeline Chiew Yen Chua, Investigator; Samantha Nguee, Investigator; Yong Jie Tang, Investigator; Weiyi Tang, Investigator; Joel Xu En Wong, Investigator; Anna Loo, Investigator; Liang Hui Loo, Investigator; Andrea Chua, Investigator; Siew‐Wai Fong; Laurent Renia; Lisa F. P. Ng; Veronique Angeli; Jinmiao Chen; Brian K. Kennedy; Catherine W. M. Ong and Paul A. Macary
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