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Finn CM, McKinstry KK. Ex Pluribus Unum: The CD4 T Cell Response against Influenza A Virus. Cells 2024; 13:639. [PMID: 38607077 PMCID: PMC11012043 DOI: 10.3390/cells13070639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024] Open
Abstract
Current Influenza A virus (IAV) vaccines, which primarily aim to generate neutralizing antibodies against the major surface proteins of specific IAV strains predicted to circulate during the annual 'flu' season, are suboptimal and are characterized by relatively low annual vaccine efficacy. One approach to improve protection is for vaccines to also target the priming of virus-specific T cells that can protect against IAV even in the absence of preexisting neutralizing antibodies. CD4 T cells represent a particularly attractive target as they help to promote responses by other innate and adaptive lymphocyte populations and can also directly mediate potent effector functions. Studies in murine models of IAV infection have been instrumental in moving this goal forward. Here, we will review these findings, focusing on distinct subsets of CD4 T cell effectors that have been shown to impact outcomes. This body of work suggests that a major challenge for next-generation vaccines will be to prime a CD4 T cell population with the same spectrum of functional diversity generated by IAV infection. This goal is encapsulated well by the motto 'ex pluribus unum': that an optimal CD4 T cell response comprises many individual specialized subsets responding together.
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Affiliation(s)
| | - K. Kai McKinstry
- Immunity and Pathogenesis Division, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32827, USA;
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Raju Paul S, Scholzen A, Reeves PM, Shepard R, Hess JM, Dzeng RK, Korek S, Garritsen A, Poznansky MC, Sluder AE. Cytometry profiling of ex vivo recall responses to Coxiella burnetii in previously naturally exposed individuals reveals long-term changes in both adaptive and innate immune cellular compartments. Front Immunol 2023; 14:1249581. [PMID: 37885896 PMCID: PMC10598782 DOI: 10.3389/fimmu.2023.1249581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Introduction Q fever, caused by the intracellular bacterium Coxiella burnetii, is considered an occupational and biodefense hazard and can result in debilitating long-term complications. While natural infection and vaccination induce humoral and cellular immune responses, the exact nature of cellular immune responses to C. burnetii is incompletely understood. The current study seeks to investigate more deeply the nature of long-term cellular recall responses in naturally exposed individuals by both cytokine release assessment and cytometry profiling. Methods Individuals exposed during the 2007-2010 Dutch Q fever outbreak were grouped in 2015, based on a C. burnetii-specific IFNγ release assay (IGRA), serological status, and self-reported clinical symptoms during initial infection, into asymptomatic IGRA-negative/seronegative controls, and three IGRA-positive groups (seronegative/asymptomatic; seropositive/asymptomatic and seropositive/symptomatic). Recall responses following in vitro re-stimulation with heat-inactivated C. burnetii in whole blood, were assessed in 2016/2017 by cytokine release assays (n=55) and flow cytometry (n=36), and in blood mononuclear cells by mass cytometry (n=36). Results Cytokine release analysis showed significantly elevated IL-2 responses in all seropositive individuals and elevated IL-1β responses in those recovered from symptomatic infection. Comparative flow cytometry analysis revealed significantly increased IFNγ, TNFα and IL-2 recall responses by CD4 T cells and higher IL-6 production by monocytes from symptomatic, IGRA-positive/seropositive individuals compared to controls. Mass cytometry profiling and unsupervised clustering analysis confirmed recall responses in seropositive individuals by two activated CD4 T cell subsets, one characterized by a strong Th1 cytokine profile (IFNγ+IL-2+TNFα+), and identified C. burnetii-specific activation of CD8 T cells in all IGRA-positive groups. Remarkably, increased C. burnetii-specific responses in IGRA-positive individuals were also observed in three innate cell subpopulations: one characterized by an IFNγ+IL-2+TNFα+ Th1 cytokine profile and lack of canonical marker expression, and two IL-1β-, IL-6- and IL-8-producing CD14+ monocyte subsets that could be the drivers of elevated secretion of innate cytokines in pre-exposed individuals. Discussion These data highlight that there are long-term increased responses to C. burnetii in both adaptive and innate cellular compartments, the latter being indicative of trained immunity. These findings warrant future studies into the protective role of these innate responses and may inform future Q fever vaccine design.
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Affiliation(s)
- Susan Raju Paul
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | | | - Patrick M. Reeves
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | - Robert Shepard
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | - Joshua M. Hess
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | - Richard K. Dzeng
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | - Skylar Korek
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | | | - Mark C. Poznansky
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
| | - Ann E. Sluder
- Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, United States
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McIlwain DR, Chen H, Rahil Z, Bidoki NH, Jiang S, Bjornson Z, Kolhatkar NS, Martinez CJ, Gaudillière B, Hedou J, Mukherjee N, Schürch CM, Trejo A, Affrime M, Bock B, Kim K, Liebowitz D, Aghaeepour N, Tucker SN, Nolan GP. Human influenza virus challenge identifies cellular correlates of protection for oral vaccination. Cell Host Microbe 2021; 29:1828-1837.e5. [PMID: 34784508 PMCID: PMC8665113 DOI: 10.1016/j.chom.2021.10.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/16/2021] [Accepted: 10/21/2021] [Indexed: 01/23/2023]
Abstract
Developing new influenza vaccines with improved performance and easier administration routes hinges on defining correlates of protection. Vaccine-elicited cellular correlates of protection for influenza in humans have not yet been demonstrated. A phase-2 double-blind randomized placebo and active (inactivated influenza vaccine) controlled study provides evidence that a human-adenovirus-5-based oral influenza vaccine tablet (VXA-A1.1) can protect from H1N1 virus challenge in humans. Mass cytometry characterization of vaccine-elicited cellular immune responses identified shared and vaccine-type-specific responses across B and T cells. For VXA-A1.1, the abundance of hemagglutinin-specific plasmablasts and plasmablasts positive for integrin α4β7, phosphorylated STAT5, or lacking expression of CD62L at day 8 were significantly correlated with protection from developing viral shedding following virus challenge at day 90 and contributed to an effective machine learning model of protection. These findings reveal the characteristics of vaccine-elicited cellular correlates of protection for an oral influenza vaccine.
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Affiliation(s)
- David R McIlwain
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; WCCT Global, Cypress, CA, USA.
| | - Han Chen
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Zainab Rahil
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Neda Hajiakhoond Bidoki
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sizun Jiang
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Zach Bjornson
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Julien Hedou
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nilanjan Mukherjee
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christian M Schürch
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
| | - Angelica Trejo
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Kenneth Kim
- Ark Clinical Research, LLC, Long Beach, CA, USA
| | | | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Garry P Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
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Van Tilbeurgh M, Lemdani K, Beignon AS, Chapon C, Tchitchek N, Cheraitia L, Marcos Lopez E, Pascal Q, Le Grand R, Maisonnasse P, Manet C. Predictive Markers of Immunogenicity and Efficacy for Human Vaccines. Vaccines (Basel) 2021; 9:579. [PMID: 34205932 PMCID: PMC8226531 DOI: 10.3390/vaccines9060579] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/22/2021] [Accepted: 05/24/2021] [Indexed: 02/07/2023] Open
Abstract
Vaccines represent one of the major advances of modern medicine. Despite the many successes of vaccination, continuous efforts to design new vaccines are needed to fight "old" pandemics, such as tuberculosis and malaria, as well as emerging pathogens, such as Zika virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Vaccination aims at reaching sterilizing immunity, however assessing vaccine efficacy is still challenging and underscores the need for a better understanding of immune protective responses. Identifying reliable predictive markers of immunogenicity can help to select and develop promising vaccine candidates during early preclinical studies and can lead to improved, personalized, vaccination strategies. A systems biology approach is increasingly being adopted to address these major challenges using multiple high-dimensional technologies combined with in silico models. Although the goal is to develop predictive models of vaccine efficacy in humans, applying this approach to animal models empowers basic and translational vaccine research. In this review, we provide an overview of vaccine immune signatures in preclinical models, as well as in target human populations. We also discuss high-throughput technologies used to probe vaccine-induced responses, along with data analysis and computational methodologies applied to the predictive modeling of vaccine efficacy.
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Affiliation(s)
- Matthieu Van Tilbeurgh
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Katia Lemdani
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Anne-Sophie Beignon
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Catherine Chapon
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Nicolas Tchitchek
- Unité de Recherche i3, Inserm UMR-S 959, Bâtiment CERVI, Hôpital de la Pitié-Salpêtrière, 75013 Paris, France;
| | - Lina Cheraitia
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Ernesto Marcos Lopez
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Quentin Pascal
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Roger Le Grand
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Pauline Maisonnasse
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Caroline Manet
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
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