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. 2021 Jul 10;27(12):1784–1789. doi: 10.1016/j.cmi.2021.07.005

The potential clinical utility of measuring severe acute respiratory syndrome coronavirus 2-specific T-cell responses

Delia Goletti 1,, Linda Petrone 1, Davide Manissero 2, Antonio Bertoletti 3,4, Sonia Rao 5, Nduku Ndunda 6, Alessandro Sette 7,8, Vladyslav Nikolayevskyy 2,9
PMCID: PMC8272618  PMID: 34256141

Abstract

Background

Both humoral and cell-mediated responses are associated with immunity to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although our understanding of the potential role of T-cell responses in the context of coronavirus disease 2019 (COVID-19) is rapidly increasing, more information is still needed.

Objectives

To provide an overview of the role of T-cell immunity in COVID-19, in the context of natural infection and post-vaccination, and discuss the potential utility of measuring SARS-CoV-2-specific T-cell responses, drawing on experience of the use of interferon-γ release assays (IGRAs) in tuberculosis (TB).

Sources

PubMed articles up to 16 April 2021.

Content

T-cell responses can be detected very early in the course of COVID-19, earlier than the detection of antibody responses, and are correlated with COVID-19 outcome. Lower CD4+ and CD8+ T-cell counts are markers of more severe disease, longer duration of viral RNA positivity and increased mortality. In line with natural infection, SARS-CoV-2 vaccination stimulates robust T-cell responses, which probably play an important role in protection; data on long-term T-cell responses are currently limited. The utility of measuring T-cell responses is already well established in both aiding the diagnosis of TB infection using IGRAs, and evaluation of T-cell responses to TB vaccine candidates. A variety of assays have already been developed to measure SARS-CoV-2-specific T-cell responses, including IGRAs, intracellular cytokine staining and activation-induced markers. IGRAs based on SARS-CoV-2 antigens can distinguish between convalescent and uninfected healthy blood donors.

Implications

Simple assays for measuring the quantity and function of T-cell responses may have utility in the prognostication of COVID-19, and for monitoring immune responses to SARS-CoV-2 vaccination and population-based immunity to SARS-CoV-2 variants of interest.

Keywords: Cellular immunity, Coronavirus disease 2019, Interferon-γ release assay, Severe acute respiratory syndrome coronavirus 2, T cell, Tuberculosis

Introduction

A large proportion of what is now known about the role of T-cell responses to respiratory infection has come from studies of CD8+ T-cell responses against acute viral infection [1]. Such studies, as reviewed by Schmidt and Varga [2], have shown that CD8+ T cells are critical for mediating viral clearance [[3], [4], [5]], and memory CD8+ T cells can provide protection against secondary infections [6,7]. Based on findings such as these, it is reasonable to hypothesize that induction of both humoral and T-cell responses (including CD4+ and CD8+ T cells) are required for an optimal immune response to natural respiratory infection, and post-vaccination.

In the case of influenza A virus, strain-specific protection generally afforded by the humoral immune response is complemented by virus-specific CD8+ and CD4+ T cells that provide cross-reactive responses recognizing different virus subtypes [8]. The same principle of a combined humoral and cell-mediated response for optimal immunity may apply to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, with virus-specific CD4+ T cells, among their other functions, probably serving critical roles in establishing protective antibody responses [9].

T-cell responses are also required for optimal immunity to bacterial respiratory pathogens. For example, as initially demonstrated in murine models [10], humoral immunity alone is not sufficient to protect against Bordetella pertussis infection. This and other seminal work performed by Mills and colleagues highlighted the importance of T cells in both naturally acquired [10] and vaccine-induced immunity [11]. Furthermore, the broad relevance of T-cell responses and cytokine secretion in Mycobacterium tuberculosis infection is widely recognized, and interferon-γ (IFN-γ) release assays (IGRAs) are used in the diagnosis of tuberculosis (TB) infection.

In this article, we review T-cell responses to SARS-CoV-2 following natural infection and post-vaccination. Furthermore, we discuss the potential clinical utility of measuring T-cell responses to SARS-CoV-2, drawing on experience of the use of IGRAs in TB.

Search strategy

We searched PubMed up to 16 April 2021 for articles that refer to ‘T-cell response’ and ‘SARS-CoV-2 infection’. We also searched for randomized controlled trials of authorized/approved vaccines, as listed in ‘RAPS COVID-19 vaccine tracker’ [12], as of 15 March 2021 (n = 12).

T-cell responses to SARS-CoV-2 natural infection

The role of T cells in SARS-CoV-2 infection has been demonstrated in murine models, where protection from disease was dependent on respiratory tract memory CD4+ T cells alongside early induction of virus-specific CD8+ T-cell responses [13]. Knowledge of T-cell responses to SARS-CoV-2 infection, particularly in the acute phase of illness, is rapidly expanding. T-cell responses can be detected very early in the course of disease [[14], [15], [16]], earlier than the detection of antibody responses [16]. For a detailed review on the kinetics and quantitative aspects of SARS-CoV-2 T-cell immunity, please refer to Bertoletti et al. [17].

T-cell count and IFN-γ production are inversely associated with disease severity. In a systematic review of 61 articles, symptomatic adult coronavirus disease 2019 (COVID-19) cases consistently showed peripheral T-cell lymphopenia positively correlating with increased disease severity, duration of viral-RNA positivity, and non-survival [18]. Earlier induction of IFN-γ-secreting T cells may also be a marker of better prognosis [14,15,19]. These observations help to explain why T-cell count and clonal expansion of SARS-CoV-2-specific T cells are markers of COVID-19 convalescence [20], and why delayed or insufficient activation of T-cell responses may allow for uncontrolled viral infection, resulting in severe lung damage, systemic inflammation and high mortality rates [21]. However, it is important to consider study limitations when correlating T-cell counts with disease severity, such as the possibility of much higher frequencies of SARS-CoV-2-specific T cells in the respiratory tract than can be detected through peripheral blood assays [17].

Further evidence of the importance of T-cell responses for COVID-19 recovery can be observed in patients with B-cell deficiencies, who exhibit prolonged and severe COVID-19 [22]. Soresina et al. described two patients with X-linked agammaglobulinaemia who, although they presented with pneumonia after contracting COVID-19, did not require oxygen supplementation [23], indicating that cellular responses can limit disease severity. Similarly, a study of patients with impaired humoral immunity as a result of haematological cancer found that CD8+ T-cell count was associated with increased survival and lower viral load [24].

The quality of T-cell responses may also play an important role. Le Bert et al. noted increased IFN-γ and interleukin-2 (IL-2) production in asymptomatic patients compared with symptomatic patients, despite similar overall frequencies of T-cells in both groups [19]. Mild cases of SARS-CoV-2 infection are associated with early, highly specific T-cell responses, whereas severe COVID-19 cases are associated with late, disproportionate secretion of pro-inflammatory cytokines (tumour necrosis factor-α, IL-6, IL-1β) [19], a phenomenon which has also been observed in non-survivors [25,26] and is suggestive of a cytokine storm [27,28]. Notably, many patients with severe disease exhibit markers of T-cell exhaustion including increased expression of Programmed Cell Death Protein 1 (PD-1), T-cell immunoglobulin and mucin domain 3 (Tim-3) [29], and NKG2A [21].

The longevity of T-cell immunity appears in line with antibody responses, suggesting a durable immune response to natural SARS-CoV-2 infection [30]. In one study, 93% and 70% had detectable CD4+ and CD8+ T-cell memory, respectively, 1 month after infection [31]. CD4+ T-cell memory was still detectable in 92% of participants at ≥6 months after infection, whereas CD8+ T-cell memory had declined to 50% [31]. Supporting this observation, intracellular cytokine analysis has shown that CD4+ virus-specific T-cell responses at 6 months are twice as frequent as CD8+ responses [32].

Extensive research has been conducted into identifying epitopes to effectively measure T-cell responses, including a large study of overlapping peptides spanning the entire SARS-CoV-2 proteome [33]. Spike protein epitope pools are the most immunogenic stimuli [16,34]. In a study of individuals convalescing after COVID-19, 280 SARS-CoV-2 CD4+ T-cell epitopes and 523 SARS-CoV-2 CD8+ T-cell epitopes were identified [35]. These experimentally-defined epitopes were used to generate second-generation pools, associated with increased activity and lower complexity for measuring T-cell responses [35]. The sequences of most SARS-CoV-2 T-cell epitopes do not appear to be affected by the different SARS-CoV-2 variants currently in circulation [36].

T-cell responses to SARS-CoV-2 vaccination

Given the high mortality risk and potential for long-term disability associated with COVID-19, development of effective vaccines is a global public health priority, with multiple candidates already approved or authorized for use [12]. At the time of writing, randomized controlled trials of approved vaccines have reported significant protection from severe disease [[37], [38], [39], [40]]. However, efficacy could be affected by variants of concern [41] meaning that updates to vaccines may be required.

Considering the important role of T cells in the response to natural SARS-CoV-2 infection, a combination of strong humoral and cellular response to vaccination is likely to be a key factor in their clinical success. CD4+ T-cell responses observed across clinical trials demonstrate that cellular immunity is achieved through vaccination, with levels peaking at ~14 days post-vaccination (in line with natural infection), and remaining detectable at the end of the analysis period in studies reporting T-cell responses [[42], [43], [44]]. Studies indicate that SARS-CoV-2-specific T cells are detectable as early as 7–14 days post-vaccination, whereas neutralizing antibodies are only present at low titres in this early phase [45,46]. As the protective effect of vaccination has been observed from day 12 post-administration [39], it is likely that T cells play an important early role in vaccine-mediated immunity [43,46]. Considering the functional role of T cells in containing the spread of infection by eliminating infected cells, early induction of T cells through vaccination is crucial. Currently, little is known about long-term SARS-CoV-2 T-cell responses to vaccination, because of their recent introduction; one study reported a robust cellular response at day 84 following vaccination with ChAdOx1 [42]. Long-term data on the correlates of protection from vaccine-induced T-cell responses are needed.

Clinical utility of measuring T-cell responses

Experience in TB

Quantifying T-cell responses is a well-established diagnostic tool for TB infection. Whole blood or peripheral blood mononuclear cell-based tests are currently used in clinical practice for measuring T-cell responses to M. tuberculosis antigens, such as IGRAs, based on ELISA or ELISpot platforms [47]. IGRAs are shown to have high sensitivity in detecting M. tuberculosis infections [48,49]; however, IGRAs by themselves are not recommended as a rule-out or rule-in test for active TB in clinical practice [50]. Instead, IGRAs, along with tuberculin skin tests, are useful to identify TB infection among those at high risk of infection, and to propose preventive treatment as a measure to stop the spread of infection [51]. IGRAs have performance and practical advantages over tuberculin skin tests, including improved predictive performance [52,53]. Interestingly, in a small study using IGRAs in patients with active TB and SARS-CoV-2 co-infection, patients had impaired T-cell responses to SARS-CoV-2, as evidenced by the inability to mount a spike-specific response [54], indicating that co-infection may limit the ability to respond to the virus.

Similar to SARS-CoV-2 vaccination trials, most trials of candidate TB vaccines also measure T-cell responses to epitopes in the vaccine over time as a marker of long-term immunity [[55], [56], [57]]. A study of the M72/AS01 vaccine showed that CD4+ T-cell responses persist for at least 3 years post-vaccination, with no evidence of diminishing in this time [56]. Furthermore, there is growing interest in using IGRA conversion rates as a correlate of protection in TB vaccine candidate trials. This has potential cost-saving and time-saving benefits over long-term assessments of traditional vaccination end points, although data are currently limited.

Potential in COVID-19

A variety of assays have been used to measure SARS-CoV-2-specific T-cell responses, including intracellular cytokine staining [15], activation-induced markers [33] and IGRAs [45,58]. Each platform has distinctive advantages and disadvantages related to ease of implementation and execution and granularity of information collected; however, a detailed discussion of these platforms is beyond the scope of this review. Simple, robust assays requiring a low technological barrier for implementation are required to enable T-cell measurements on a global scale.

Much like the use of IGRAs in TB, a simple T-cell response assay could facilitate the detection of an immune response to SARS-CoV-2 infection or vaccination and, moreover, may aid in monitoring the immune response over time or during therapy (Fig. 1 ) [54,58,59]. Proof-of-concept has been demonstrated in COVID-19, where an ELISA-based whole-blood IGRA stimulated with epitope pools covering the entire viral proteome was able to accurately distinguish between convalescent and uninfected healthy blood donors [60]. Furthermore, an ELISpot-based IGRA using isolated peripheral blood mononuclear cells stimulated with peptides covering nucleoprotein, membrane and immunogenic regions of the SARS-CoV-2 spike protein was able to differentiate SARS-CoV-2-infected individuals with symptomatic or asymptomatic infection [19], and measure T-cell responses in vaccinated individuals [45]. Notably, among patients with SARS-CoV-2 infection, T-cell responses were detectable independently of disease severity, symptom onset and lymphocyte count [19,58]. Clinical study data are required to confirm correlates of T-cell responses and COVID-19 disease protection; however, early data [25,26] of high pro-inflammatory-cytokine secretion in non-survivors suggest that details of T-cell response (both quantity and function) early in the disease course of hospitalized patients with COVID-19 could provide indications of patient prognosis. It will also be important to consider confounding factors when measuring T-cell response, such as impairment of T-cell monitoring due to co-morbidities or immunosuppression that may limit the specific response [54]; a consideration that may have increased importance in the convalescent phase.

Fig. 1.

Fig. 1

Potential utility for measuring the quantity and function of SARS-CoV-2-specific T-cells. A robust and widely accessible platform to measure T-cell responses could hypothetically: (1) Provide information of response in vaccine naive and/or previously infected populations ahead of vaccination, and aid in establishing boosting schedules. (2) Aid prognosis among hospitalized patients with COVID-19 if measured early in the disease course. (3) Provide insight into long-term immunogenicity after administering vaccines. (4) Aid understanding of multisystem inflammatory syndrome in children and long COVID. (5) Uncover why different ages and subpopulations are associated with differential disease outcomes. (6) Aid understanding of responses to multiple SARS-CoV-2 epitopes among individuals with low levels of detectable antibodies. (7) Measure responses to SARS-CoV-2 variants of concern and in populations vaccinated with non-spike based vaccines. (8) Allow comparisons between different vaccine platforms and the establishment of correlates of protection. Abbreviations: COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

There are several possibilities for the use of T-cell response data in the context of vaccination (Fig. 1). In individuals with low levels of antibody response, T-cell responses may be a marker of disease [22] or vaccination-induced immunity. Furthermore, T-cell response data may provide insight into long-term immune reactivity independently of serological response, as observed in the context of natural infection [61]. T-cell responses to large numbers of SARS-CoV-2 epitopes can be measured to generate reagents with maximum sensitivity and specificity, suitable for use in diverse populations [35]. Epitope pools based on antigens other than spike [16] could be used to quantify responses that are not related to immunization with spike-based vaccines, such as those induced by SARS-CoV-2 natural infection, and to detect ‘breakthrough infections’ in vaccinated individuals. Additional uses could be understanding responses in vaccinated populations to SARS-CoV-2 variants of concern. Recent data among convalescent individuals after COVID-19, as well as individuals who had received mRNA-based vaccines, demonstrated that CD4+ and CD8+ T-cell responses were not substantially affected by mutations found in SARS-CoV-2 variants circulating at the time of study [36]. Measurement of T-cell responses will also be key for comparing different vaccine platforms to establish correlates of protection. Quantifying functional SARS-CoV-2-specific T-cell responses may also help to understand multisystem inflammatory syndrome in children and long COVID, and why different ages and subpopulations are associated with different disease outcomes.

The US Food and Drug Administration has approved the T-Detect Test (Adaptive Biotechnologies, Seattle, WA, USA) [62] as a method for indicating, through the use of a T-cell signature as a diagnostic marker, whether or not an individual is likely to have previously been infected with SARS-CoV-2. Moving forward, to accurately monitor COVID-19 immunity, it will be important to identify ways to measure both the quantity of SARS-CoV-2 specific T cells as well as their function based on the secretion of activation markers and cytokines.

Conclusions

A broad array of literature supports the potentially crucial role of T-cell responses following SARS-CoV-2 vaccination, on COVID-19 disease progression and patient outcomes. Evidence from both natural infection and vaccination studies suggests that early T-cell responses may play an important role in protection, clearing and recovering from SARS-CoV-2 infection. Studies of vaccination against SARS-CoV-2 have been highly successful and show robust T-cell responses; however, we will need to wait for further data on the longevity of T-cell responses and their correlation with protection. There is potential utility in quantifying SARS-CoV-2 T-cell responses in relation to both natural infection and vaccination. Assessing T-cell responses following natural infection may provide information on differentiating disease outcomes, but monitoring of vaccinated individuals will most likely be used to help to establish boosting schedules and measure the vaccine's ability to recognize and protect against SARS-CoV-2 variants. COVID-19 is a rapidly changing landscape and although at present the role of T-cell responses is not fully defined, measuring T-cell responses with simple and robust testing assays may hold great utility in managing future actions surrounding this disease.

Transparency declaration

DG is a consultant for QIAGEN. LP has nothing to disclose. AS is a consultant for Gritstone, Flow Pharma, CellCarta, Arcturus, Oxfordimmunotech and Avalia. LJI has filed for patent protection for various aspects of T-cell epitope and vaccine design work. AB is a consultant for OxfordImmunotech and QIAGEN, and has filed for patent protection for aspects of detection of SARS-CoV-2 T-cells. SR and VN are employees of QIAGEN. DM is an employee of QIAGEN and owns shares in QIAGEN. NN is a former QIAGEN employee.

Funding

This study was funded by Qiagen Manchester Ltd and partially for DG and LP by the Italian Ministry of Health, Ricerca Corrente, Linea 1.

Author contributions

All authors contributed to conceptualization, data interpretation, writing, and critical review and editing.

Acknowledgements

Medical writing support for the development of this manuscript, under the direction of the authors, was provided by Isabella Talbot, BSc, of Ashfield MedComms, an Ashfield Health company, and funded by QIAGEN Manchester Ltd.

Editor: L. Leibovici

References

  • 1.Counoupas C., Triccas J.A. The generation of T-cell memory to protect against tuberculosis. Immunol Cell Biol. 2019;97:656–663. doi: 10.1111/imcb.12275. [DOI] [PubMed] [Google Scholar]
  • 2.Schmidt M.E., Varga S.M. The CD8 T cell response to respiratory virus infections. Front Immunol. 2018;9:678. doi: 10.3389/fimmu.2018.00678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Taylor P.M., Askonas B.A. Influenza nucleoprotein-specific cytotoxic T-cell clones are protective in vivo. Immunology. 1986;58:417–420. [PMC free article] [PubMed] [Google Scholar]
  • 4.Melendi G.A., Zavala F., Buchholz U.J., Boivin G., Collins P.L., Kleeberger S.R., et al. Mapping and characterization of the primary and anamnestic H-2(d)-restricted cytotoxic T-lymphocyte response in mice against human metapneumovirus. J Virol. 2007;81:11461–11467. doi: 10.1128/JVI.02423-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Graham B.S., Bunton L.A., Wright P.F., Karzon D.T. Role of T lymphocyte subsets in the pathogenesis of primary infection and rechallenge with respiratory syncytial virus in mice. J Clin Invest. 1991;88:1026–1033. doi: 10.1172/JCI115362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kinnear E., Lambert L., McDonald J.U., Cheeseman H.M., Caproni L.J., Tregoning J.S. Airway T cells protect against RSV infection in the absence of antibody. Mucosal Immunol. 2018;11:249–256. doi: 10.1038/mi.2017.46. [DOI] [PubMed] [Google Scholar]
  • 7.McMaster S.R., Wilson J.J., Wang H., Kohlmeier J.E. Airway-resident memory CD8 T cells provide antigen-specific protection against respiratory virus challenge through rapid IFN-γ production. J Immunol. 2015;195:203–209. doi: 10.4049/jimmunol.1402975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lee L.Y.-H., Ha D.L.A., Simmons C., de Jong M.D., Chau N.V.V., Schumacher R., et al. Memory T cells established by seasonal human influenza A infection cross-react with avian influenza A (H5N1) in healthy individuals. J Clin Invest. 2008;118:3478–3490. doi: 10.1172/JCI32460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sette A., Crotty S. Adaptive immunity to SARS-CoV-2 and COVID-19. Cell. 2021;184:861–880. doi: 10.1016/j.cell.2021.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Mills K.H., Ryan M., Ryan E., Mahon B.P. A murine model in which protection correlates with pertussis vaccine efficacy in children reveals complementary roles for humoral and cell-mediated immunity in protection against Bordetella pertussis. Infect Immun. 1998;66:594–602. doi: 10.1128/iai.66.2.594-602.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Redhead K., Watkins J., Barnard A., Mills K.H. Effective immunization against Bordetella pertussis respiratory infection in mice is dependent on induction of cell-mediated immunity. Infect Immun. 1993;61:3190–3198. doi: 10.1128/iai.61.8.3190-3198.1993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.COVID-19 vaccine tracker. https://www.raps.org/news-and-articles/news-articles/2020/3/covid-19-vaccine-tracker Available at:
  • 13.Zhuang Z., Lai X., Sun J., Chen Z., Zhang Z., Dai J., et al. Mapping and role of T cell response in SARS-CoV-2-infected mice. J Exp Med. 2021;218 doi: 10.1084/jem.20202187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tan A.T., Linster M., Tan C.W., Le Bert N., Chia W.N., Kunasegaran K., et al. Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients. Cell Rep. 2021;34:108728. doi: 10.1016/j.celrep.2021.108728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rydyznski Moderbacher C., Ramirez S.I., Dan J.M., Grifoni A., Hastie K.M., Weiskopf D., et al. Antigen-specific adaptive immunity to SARS-CoV-2 in acute COVID-19 and associations with age and disease severity. Cell. 2020;183:996–1012. doi: 10.1016/j.cell.2020.09.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Aiello A., Fard S.N., Petruccioli E., Petrone L., Vanini V., Farroni C., et al. Spike is the most recognized antigen in the whole-blood platform in both acute and convalescent COVID-19 patients. Int J Infect Dis. 2021;106:338–347. doi: 10.1016/j.ijid.2021.04.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Bertoletti A., Tan A.T., Le Bert N. The T-cell response to SARS-CoV-2: kinetic and quantitative aspects and the case for their protective role. Oxford Open Immunol. 2021;2 doi: 10.1093/oxfimm/iqab006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shrotri M., van Schalkwyk M.C.I., Post N., Eddy D., Huntley C., Leeman D., et al. T cell response to SARS-CoV-2 infection in humans: a systematic review. PLoS One. 2021;16 doi: 10.1371/journal.pone.0245532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Le Bert N., Clapham H.E., Tan A.T., Chia W.N., Tham C.Y.L., Lim J.M., et al. Highly functional virus-specific cellular immune response in asymptomatic SARS-CoV-2 infection. J Exp Med. 2021;218 doi: 10.1084/jem.20202617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Braun J., Loyal L., Frentsch M., Wendisch D., Georg P., Kurth F., et al. SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19. Nature. 2020;587:270–274. doi: 10.1038/s41586-020-2598-9. [DOI] [PubMed] [Google Scholar]
  • 21.Zheng M., Gao Y., Wang G., Song G., Liu S., Sun D., et al. Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell Mol Immunol. 2020;17:533–535. doi: 10.1038/s41423-020-0402-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.D'Abramo A., Vita S., Maffongelli G., Mariano A., Agrati C., Castilletti C., et al. Prolonged and severe SARS-CoV-2 infection in patients under B-cell-depleting drug successfully treated: a tailored approach. Int J Infect Dis. 2021;S1201–9712:380–385. doi: 10.1016/j.ijid.2021.04.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Soresina A., Moratto D., Chiarini M., Paolillo C., Baresi G., Foca E., et al. Two X-linked agammaglobulinemia patients develop pneumonia as COVID-19 manifestation but recover. Pediatr Allergy Immunol. 2020;31:565–569. doi: 10.1111/pai.13263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Huang A., Bange E., Han N., Wileyto E.P., Kim J., Gouma S., et al. CD8 T cells compensate for impaired humoral immunity in COVID-19 patients with hematologic cancer. Res Sq. 2021 rs-3.rs-162289. [Google Scholar]
  • 25.Ruan Q., Yang K., Wang W., Jiang L., Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020;46:846–848. doi: 10.1007/s00134-020-05991-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Luo M., Liu J., Jiang W., Yue S., Liu H., Wei S. IL-6 and CD8+ T cell counts combined are an early predictor of in-hospital mortality of patients with COVID-19. JCI Insight. 2020;5 doi: 10.1172/jci.insight.139024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Fu B., Xu X., Wei H. Why tocilizumab could be an effective treatment for severe COVID-19? J Transl Med. 2020;18:164. doi: 10.1186/s12967-020-02339-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Luo X.H., Zhu Y., Mao J., Du R.C. T cell immunobiology and cytokine storm of COVID-19. Scand J Immunol. 2021;93 doi: 10.1111/sji.12989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Diao B., Wang C., Tan Y., Chen X., Liu Y., Ning L., et al. Reduction and functional exhaustion of T cells in patients with coronavirus disease 2019 (COVID-19) Front Immunol. 2020;11:827. doi: 10.3389/fimmu.2020.00827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sherina N., Piralla A., Du L., Wan H., Kumagai-Braesch M., Andrell J., et al. Persistence of SARS-CoV-2-specific B and T cell responses in convalescent COVID-19 patients 6-8 months after the infection. Med (NY) 2021;2:281–295. doi: 10.1016/j.medj.2021.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Dan J.M., Mateus J., Kato Y., Hastie K.M., Yu E.D., Faliti C.E., et al. Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection. Science. 2021:371. doi: 10.1126/science.abf4063. eabf4063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Zuo J., Dowell A.C., Pearce H., Verma K., Long H.M., Begum J., et al. Robust SARS-CoV-2-specific T cell immunity is maintained at 6 months following primary infection. Nat Immunol. 2021;22:620–626. doi: 10.1038/s41590-021-00902-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Grifoni A., Weiskopf D., Ramirez S.I., Mateus J., Dan J.M., Moderbacher C.R., et al. Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell. 2020;181:1489–1501. doi: 10.1016/j.cell.2020.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Murugesan K., Jagannathan P., Pham T.D., Pandey S., Bonilla H.F., Jacobson K., et al. Interferon-gamma release assay for accurate detection of SARS-CoV-2 T cell response. Clin Infect Dis. 2020:ciaa1537. doi: 10.1093/cid/ciaa1537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Tarke A., Sidney J., Kidd C.K., Dan J.M., Ramirez S.I., Yu E.D., et al. Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases. Cell Rep Med. 2021;2:100204. doi: 10.1016/j.xcrm.2021.100204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tarke A., Sidney J., Methot N., Zhang Y., Dan J.M., Goodwin B., et al. Negligible impact of SARS-CoV-2 variants on CD4+ and CD8+ T cell reactivity in COVID-19 exposed donors and vaccinees. bioRxiv. 2021 doi: 10.1016/j.xcrm.2021.100355. 2021.2002.2027.433180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Baden L.R., El Sahly H.M., Essink B., Kotloff K., Frey S., Novak R., et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021;384:403–416. doi: 10.1056/NEJMoa2035389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Logunov D.Y., Dolzhikova I.V., Shcheblyakov D.V., Tukhvatulin A.I., Zubkova O.V., Dzharullaeva A.S., et al. Safety and efficacy of an rAd26 and rAd5 vector-based heterologous prime-boost COVID-19 vaccine: an interim analysis of a randomised controlled phase 3 trial in Russia. Lancet. 2021;397:671–681. doi: 10.1016/S0140-6736(21)00234-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Polack F.P., Thomas S.J., Kitchin N., Absalon J., Gurtman A., Lockhart S., et al. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. N Engl J Med. 2020;383:2603–2615. doi: 10.1056/NEJMoa2034577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Voysey M., Costa Clemens S.A., Madhi S.A., Weckx L.Y., Folegatti P.M., Aley P.K., et al. Single-dose administration and the influence of the timing of the booster dose on immunogenicity and efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine: a pooled analysis of four randomised trials. Lancet. 2021;397:881–891. doi: 10.1016/S0140-6736(21)00432-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Madhi S.A., Baillie V., Cutland C.L., Voysey M., Koen A.L., Fairlie L., et al. Efficacy of the ChAdOx1 nCoV-19 covid-19 vaccine against the B.1.351 variant. N Engl J Med. 2021;384:1885–1898. doi: 10.1056/NEJMoa2102214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Barrett J.R., Belij-Rammerstorfer S., Dold C., Ewer K.J., Folegatti P.M., Gilbride C., et al. Phase 1/2 trial of SARS-CoV-2 vaccine ChAdOx1 nCoV-19 with a booster dose induces multifunctional antibody responses. Nat Med. 2021;27:279–288. doi: 10.1038/s41591-020-01179-4. [DOI] [PubMed] [Google Scholar]
  • 43.Folegatti P.M., Ewer K.J., Aley P.K., Angus B., Becker S., Belij-Rammerstorfer S., et al. Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomised controlled trial. Lancet. 2020;396:467–478. doi: 10.1016/S0140-6736(20)31604-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zhu F.-C., Guan X.-H., Li Y.-H., Huang J.-Y., Jiang T., Hou L.-H., et al. Immunogenicity and safety of a recombinant adenovirus type-5-vectored COVID-19 vaccine in healthy adults aged 18 years or older: a randomised, double-blind, placebo-controlled, phase 2 trial. Lancet. 2020;396:479–488. doi: 10.1016/S0140-6736(20)31605-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kalimuddin S., Tham C.Y.L., Qui M., de Alwis R., Sim J.X.Y., Lim J.M.E., et al. Early T cell and binding antibody responses are associated with Covid-19 RNA vaccine efficacy onset. Med (N Y) 2021 doi: 10.1016/j.medj.2021.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Painter M.M., Mathew D., Goel R.R., Apostolidis S.A., Pattekar A., Kuthuru O., et al. Rapid induction of antigen-specific CD4+ T cells guides coordinated humoral and cellular immune responses to SARS-CoV-2 mRNA vaccination. bioRxiv Preprint. 2021 doi: 10.1101/2021.04.21.440862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Shafeque A., Bigio J., Hogan C.A., Pai M., Banaei N. Fourth-generation QuantiFERON-TB gold plus: what is the evidence? J Clin Microbiol. 2020;58 doi: 10.1128/JCM.01950-19. e01950-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Fukushima K. Comparison between new QuantiFERON® TB Gold Plus and existing IGRAs in active pulmonary tuberculosis. Kekkaku. 2018;93:517–523. [Google Scholar]
  • 49.Takasaki J., Manabe T., Morino E., Muto Y., Hashimoto M., Iikura M., et al. Sensitivity and specificity of QuantiFERON-TB gold plus compared with QuantiFERON-TB gold in-tube and T-SPOT.TB on active tuberculosis in Japan. J Infect Chemother. 2018;24:188–192. doi: 10.1016/j.jiac.2017.10.009. [DOI] [PubMed] [Google Scholar]
  • 50.Whitworth H.S., Badhan A., Boakye A.A., Takwoingi Y., Rees-Roberts M., Partlett C., et al. Clinical utility of existing and second-generation interferon-γ release assays for diagnostic evaluation of tuberculosis: an observational cohort study. Lancet Infect Dis. 2019;19:193–202. doi: 10.1016/S1473-3099(18)30613-3. [DOI] [PubMed] [Google Scholar]
  • 51.Pai M., Denkinger C.M., Kik S.V., Rangaka M.X., Zwerling A., Oxlade O., et al. Gamma interferon release assays for detection of Mycobacterium tuberculosis infection. Clin Microbiol Rev. 2014;27:3–20. doi: 10.1128/CMR.00034-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ahmed A., Feng P.I. Interferon-gamma release assays in children <15 years of age. Pediatrics. 2020;145 doi: 10.1542/peds.2019-1930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Zhou G., Luo Q., Luo S., Teng Z., Ji Z., Yang J., et al. Interferon-γ release assays or tuberculin skin test for detection and management of latent tuberculosis infection: a systematic review and meta-analysis. Lancet Infect Dis. 2020;20:1457–1469. doi: 10.1016/S1473-3099(20)30276-0. [DOI] [PubMed] [Google Scholar]
  • 54.Petrone L., Petruccioli E., Vanini V., Cuzzi G., Gualano G., Vittozzi P., et al. Coinfection of tuberculosis and COVID-19 limits the ability to in vitro respond to SARS-CoV-2. Int J Infect Dis. 2021;10 doi: 10.1016/j.ijid.2021.02.090. S1201-9712(21)00176-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Day C.L., Tameris M., Mansoor N., van Rooyen M., de Kock M., Geldenhuys H., et al. Induction and regulation of T-cell immunity by the novel tuberculosis vaccine M72/AS01 in South African adults. Am J Respir Crit Care Med. 2013;188:492–502. doi: 10.1164/rccm.201208-1385OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Tait D.R., Hatherill M., Van Der Meeren O., Ginsberg A.M., Van Brakel E., Salaun B., et al. Final analysis of a trial of M72/AS01E vaccine to prevent tuberculosis. N Engl J Med. 2019;381:2429–2439. doi: 10.1056/NEJMoa1909953. [DOI] [PubMed] [Google Scholar]
  • 57.Gillard P., Yang P.C., Danilovits M., Su W.J., Cheng S.L., Pehme L., et al. Safety and immunogenicity of the M72/AS01E candidate tuberculosis vaccine in adults with tuberculosis: a phase II randomised study. Tuberculosis (Edinb) 2016;100:118–127. doi: 10.1016/j.tube.2016.07.005. [DOI] [PubMed] [Google Scholar]
  • 58.Petrone L., Petruccioli E., Vanini V., Cuzzi G., Najafi Fard S., Alonzi T., et al. A whole blood test to measure SARS-CoV-2-specific response in COVID-19 patients. Clin Microbiol Infect. 2021;27:286. doi: 10.1016/j.cmi.2020.09.051. e287‒86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Petrone L., Petruccioli E., Alonzi T., Vanini V., Cuzzi G., Najafi Fard S., et al. In-vitro evaluation of the immunomodulatory effects of Baricitinib: implication for COVID-19 therapy. J Infect. 2021;82:58–66. doi: 10.1016/j.jinf.2021.02.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Murugesan K., Jagannathan P., Pham T.D., Pandey S., Bonilla H.F., Jacobson K., et al. Interferon-γ release assay for accurate detection of severe acute respiratory syndrome coronavirus 2 T-cell response. Clin Infect Dis. 2020:ciaa1537. doi: 10.1093/cid/ciaa1537. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Sekine T., Perez-Potti A., Rivera-Ballesteros O., Stralin K., Gorin J.B., Olsson A., et al. Robust T cell immunity in convalescent individuals with asymptomatic or mild COVID-19. Cell. 2020;183:158–168. doi: 10.1016/j.cell.2020.08.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Coronavirus (COVID-19) update FDA authorizes adaptive biotechnologies T-detect COVID test. https://www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-authorizes-adaptive-biotechnologies-t-detect-covid-test Available at:

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