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Diray-Arce J, Miller HER, Henrich E, Gerritsen B, Mulè MP, Fourati S, Gygi J, Hagan T, Tomalin L, Rychkov D, Kazmin D, Chawla DG, Meng H, Dunn P, Campbell J, Sarwal M, Tsang JS, Levy O, Pulendran B, Sekaly R, Floratos A, Gottardo R, Kleinstein SH, Suárez-Fariñas M. The Immune Signatures data resource, a compendium of systems vaccinology datasets. Sci Data 2022; 9:635. [PMID: 36266291 PMCID: PMC9584267 DOI: 10.1038/s41597-022-01714-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 09/22/2022] [Indexed: 01/04/2023] Open
Abstract
Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding the mechanisms by which vaccines protect. Systems immunology combines traditional immunology with modern 'omic profiling techniques and computational modeling to promote rapid and transformative advances in vaccinology and vaccine discovery. The NIH/NIAID Human Immunology Project Consortium (HIPC) has leveraged systems immunology approaches to identify molecular signatures associated with the immunogenicity of many vaccines. However, comparative analyses have been limited by the distributed nature of some data, potential batch effects across studies, and the absence of multiple relevant studies from non-HIPC groups in ImmPort. To support comparative analyses across different vaccines, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets. This data resource is available through ImmuneSpace, along with code to reproduce the processing and batch normalization starting from the underlying study data in ImmPort and the Gene Expression Omnibus (GEO). The current release comprises 1405 participants from 53 cohorts profiling the response to 24 different vaccines. This novel systems vaccinology data release represents a valuable resource for comparative and meta-analyses that will accelerate our understanding of mechanisms underlying vaccine responses.
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Affiliation(s)
- Joann Diray-Arce
- Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Helen E R Miller
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Evan Henrich
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Matthew P Mulè
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID NIH Center for Human Immunology, NIH, Bethesda, MD, USA
- NIH-Oxford-Cambridge Scholars Program, Department of Medicine, Cambridge University, Atlanta, GA, USA
| | - Slim Fourati
- Emory University School of Medicine, Atlanta, GA, USA
| | - Jeremy Gygi
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Thomas Hagan
- Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Lewis Tomalin
- Department of Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dmitry Rychkov
- University of California, San Francisco, San Francisco, CA, USA
| | - Dmitri Kazmin
- The Jackson Laboratory for Genomic Medicine, Farmington CT, Rockville, MD, USA
| | - Daniel G Chawla
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | | | - Patrick Dunn
- ImmPort Curation Team, NG Health Solutions, Rockville, MD, USA
| | - John Campbell
- ImmPort Curation Team, NG Health Solutions, Rockville, MD, USA
| | - Minnie Sarwal
- University of California, San Francisco, San Francisco, CA, USA
| | - John S Tsang
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID NIH Center for Human Immunology, NIH, Bethesda, MD, USA
| | - Ofer Levy
- Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Bali Pulendran
- Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Rafick Sekaly
- Emory University School of Medicine, Atlanta, GA, USA
| | - Aris Floratos
- Columbia University Medical Center, New York, NY, USA
| | - Raphael Gottardo
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland
| | | | - Mayte Suárez-Fariñas
- Department of Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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Gupta S, Salgado-Jiménez B, Lokugamage N, Vázquez-Chagoyán JC, Garg NJ. TcG2/TcG4 DNA Vaccine Induces Th1 Immunity Against Acute Trypanosoma cruzi Infection: Adjuvant and Antigenic Effects of Heterologous T. rangeli Booster Immunization. Front Immunol 2019; 10:1456. [PMID: 31293599 PMCID: PMC6606718 DOI: 10.3389/fimmu.2019.01456] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 06/10/2019] [Indexed: 12/17/2022] Open
Abstract
Background: Chagas cardiomyopathy is caused by Trypanosoma cruzi (Tc). Two antigenic candidates, TcG2 and TcG4, are recognized by antibodies in naturally infected dogs and humans; and these vaccine candidates provided protection from Tc infection in mice and dogs. Trypanosoma rangeli (Tr) is non-pathogenic to mammals and shown to elicit cross-reactive anti-Tc antibodies. In this study, we investigated if fixed Tr (fTr) can further enhance the efficacy of the TcG2/TcG4 DNA vaccine. Methods and Results: C57BL/6 mice were immunized with TcG2/TcG4 DNA vaccine and fTr (delivered as an adjuvant or in prime-boost approach), and challenged with Tc. Serology studies showed that fTr (±quil-A) elicited Tc- and Tr-reactive IgGs that otherwise were not stimulated by TcG2/TcG4 vaccine only, and quil-A had suppressive effects on fTr-induced IgGs. After challenge infection, TcG2/TcG4-vaccinated mice exhibited potent expansion of antigen- and Tc-specific IgGs that were not boosted by fTr±quil-A. Flow cytometry analysis showed that TcG2/TcG4-induced dendritic cells (DC) and macrophages (Mφ) responded to challenge infection by expression of markers of antigen uptake, processing, and presentation, and production of pro-inflammatory cytokines. TcG2/TcG4-induced CD4+T cells acquired Th1 phenotype and expressed markers that orchestrate adaptive immunity. A fraction of vaccine-induced CD4+T cells exhibited iTreg phenotype responsible for aversion of self-injurious immune responses. Further, TcG2/TcG4-vaccinated mice exhibited potent expansion of poly-functional CD8+T cells with TNF-α/IFN-γ production and cytolytic phenotype post-infection. Subsequently, tissue parasites and pathology were hardly detectable in TcG2/TcG4-vaccinated/infected mice. Inclusion of fTr±quil-A had no clear additive effects in improving the Tc-specific adaptive immunity and parasite control than was noted in mice vaccinated with TcG2/TcG4 alone. Non-vaccinated mice lacked sufficient activation of Th1 CD4+/CD8+T cells, and exhibited >10-fold higher levels of tissue parasite burden than was noted in vaccinated/infected mice. Conclusion:TcG2/TcG4 vaccine elicits highly effective immunity, and inclusion of fTr is not required to improve the efficacy of DNA vaccine against acute Tc infection in mice.
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Affiliation(s)
- Shivali Gupta
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Berenice Salgado-Jiménez
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Nandadeva Lokugamage
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Juan Carlos Vázquez-Chagoyán
- Facultad de Medicina Veterinaria y Zootecnia, Centro de Investigación y Estudios Avanzados en Salud Animal, Universidad Autónoma del Estado de México, Toluca, Mexico
| | - Nisha Jain Garg
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, United States
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Donnelly MR, Ciborowski P. Proteomics, biomarkers, and HIV-1: A current perspective. Proteomics Clin Appl 2015; 10:110-25. [PMID: 26033875 PMCID: PMC4666820 DOI: 10.1002/prca.201500002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 03/17/2015] [Accepted: 05/27/2015] [Indexed: 01/24/2023]
Abstract
Despite more than three decades of extensive research, HIV‐1 infection although well controlled with cART, remains incurable. Multifactorial complexity of the viral life‐cycle poses great challenges in understanding molecular mechanisms underlying this infection and the development of biomarkers, which we hope will lead us to its eradication. For a more in‐depth understanding of how the virus interacts with host target cells, T cells and macrophages, proteomic profiling techniques that offer strategies to investigate the proteome in its entirety were employed. Here, we review proteomic studies related to HIV‐1 infection and discuss perspectives and limitations of proteomic and systems biology approaches in future studies.
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Affiliation(s)
- Maire Rose Donnelly
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Pawel Ciborowski
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Zak DE, Aderem A. Systems integration of innate and adaptive immunity. Vaccine 2015; 33:5241-8. [PMID: 26102534 DOI: 10.1016/j.vaccine.2015.05.098] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 05/21/2015] [Accepted: 05/28/2015] [Indexed: 12/20/2022]
Abstract
The pathogens causing AIDS, malaria, and tuberculosis have proven too complex to be overcome by classical approaches to vaccination. The complexities of human immunology and pathogen-induced modulation of the immune system mandate new approaches to vaccine discovery and design. A new field, systems vaccinology, weds holistic analysis of innate and adaptive immunity within a quantitative framework to enable rational design of new vaccines that elicit tailored protective immune responses. A key step in the approach is to discover relationships between the earliest innate inflammatory responses to vaccination and the subsequent vaccine-induced adaptive immune responses and efficacy. Analysis of these responses in clinical studies is complicated by the inaccessibility of relevant tissue compartments (such as the lymph node), necessitating reliance upon peripheral blood responses as surrogates. Blood transcriptomes, although indirect to vaccine mechanisms, have proven very informative in systems vaccinology studies. The approach is most powerful when innate and adaptive immune responses are integrated with vaccine efficacy, which is possible for malaria with the advent of a robust human challenge model. This is more difficult for AIDS and tuberculosis, given that human challenge models are lacking and efficacy observed in clinical trials has been low or highly variable. This challenge can be met by appropriate clinical trial design for partially efficacious vaccines and by analysis of natural infection cohorts. Ultimately, systems vaccinology is an iterative approach in which mechanistic hypotheses-derived from analysis of clinical studies-are evaluated in model systems, and then used to guide the development of new vaccine strategies. In this review, we will illustrate the above facets of the systems vaccinology approach with case studies.
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Affiliation(s)
- Daniel E Zak
- The Center for Infectious Disease Research, formerly Seattle Biomedical Research Institute, 307 Westlake Ave N, Suite 500, Seattle, WA 98109, USA
| | - Alan Aderem
- The Center for Infectious Disease Research, formerly Seattle Biomedical Research Institute, 307 Westlake Ave N, Suite 500, Seattle, WA 98109, USA.
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Poland GA, Ovsyannikova IG, Kennedy RB, Lambert ND, Kirkland JL. A systems biology approach to the effect of aging, immunosenescence and vaccine response. Curr Opin Immunol 2014; 29:62-8. [PMID: 24820347 DOI: 10.1016/j.coi.2014.04.005] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Revised: 04/15/2014] [Accepted: 04/16/2014] [Indexed: 01/13/2023]
Abstract
Aging can lead to immunosenescence, which dramatically impairs the hosts' ability to develop protective immune responses to vaccine antigens. Reasons for this are not well understood. This topic's importance is reflected in the increases in morbidity and mortality due to infectious diseases among elderly persons, a population growing in size globally, and the significantly lower adaptive immune responses generated to vaccines in this population. Here, we endeavor to summarize the existing data on the genetic and immunologic correlates of immunosenescence with respect to vaccine response. We cover how the application of systems biology can advance our understanding of vaccine immunosenescence, with a view toward how such information could lead to strategies to overcome the lower immunogenicity of vaccines in the elderly.
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Affiliation(s)
- Gregory A Poland
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN, USA.
| | | | | | | | - James L Kirkland
- Robert & Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA
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Poland GA, Kennedy RB, McKinney BA, Ovsyannikova IG, Lambert ND, Jacobson RM, Oberg AL. Vaccinomics, adversomics, and the immune response network theory: individualized vaccinology in the 21st century. Semin Immunol 2013; 25:89-103. [PMID: 23755893 DOI: 10.1016/j.smim.2013.04.007] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Revised: 03/23/2013] [Accepted: 04/18/2013] [Indexed: 02/08/2023]
Abstract
Vaccines, like drugs and medical procedures, are increasingly amenable to individualization or personalization, often based on novel data resulting from high throughput "omics" technologies. As a result of these technologies, 21st century vaccinology will increasingly see the abandonment of a "one size fits all" approach to vaccine dosing and delivery, as well as the abandonment of the empiric "isolate-inactivate-inject" paradigm for vaccine development. In this review, we discuss the immune response network theory and its application to the new field of vaccinomics and adversomics, and illustrate how vaccinomics can lead to new vaccine candidates, new understandings of how vaccines stimulate immune responses, new biomarkers for vaccine response, and facilitate the understanding of what genetic and other factors might be responsible for rare side effects due to vaccines. Perhaps most exciting will be the ability, at a systems biology level, to integrate increasingly complex high throughput data into descriptive and predictive equations for immune responses to vaccines. Herein, we discuss the above with a view toward the future of vaccinology.
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Merck Ad5/HIV induces broad innate immune activation that predicts CD8⁺ T-cell responses but is attenuated by preexisting Ad5 immunity. Proc Natl Acad Sci U S A 2012; 109:E3503-12. [PMID: 23151505 DOI: 10.1073/pnas.1208972109] [Citation(s) in RCA: 129] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
To better understand how innate immune responses to vaccination can lead to lasting protective immunity, we used a systems approach to define immune signatures in humans over 1 wk following MRKAd5/HIV vaccination that predicted subsequent HIV-specific T-cell responses. Within 24 h, striking increases in peripheral blood mononuclear cell gene expression associated with inflammation, IFN response, and myeloid cell trafficking occurred, and lymphocyte-specific transcripts decreased. These alterations were corroborated by marked serum inflammatory cytokine elevations and egress of circulating lymphocytes. Responses of vaccinees with preexisting adenovirus serotype 5 (Ad5) neutralizing antibodies were strongly attenuated, suggesting that enhanced HIV acquisition in Ad5-seropositive subgroups in the Step Study may relate to the lack of appropriate innate activation rather than to increased systemic immune activation. Importantly, patterns of chemoattractant cytokine responses at 24 h and alterations in 209 peripheral blood mononuclear cell transcripts at 72 h were predictive of subsequent induction and magnitude of HIV-specific CD8(+) T-cell responses. This systems approach provides a framework to compare innate responses induced by vectors, as shown here by contrasting the more rapid, robust response to MRKAd5/HIV with that to yellow fever vaccine. When applied iteratively, the findings may permit selection of HIV vaccine candidates eliciting innate immune response profiles more likely to drive HIV protective immunity.
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