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Bartholomeus E, De Neuter N, Suls A, Elias G, van der Heijden S, Keersmaekers N, Jansens H, Van Tendeloo V, Beutels P, Laukens K, Ogunjimi B, Mortier G, Meysman P, Van Damme P. Transcriptomic profiling of different responder types in adults after a Priorix® vaccination. Vaccine 2020; 38:3218-3226. [PMID: 32165045 DOI: 10.1016/j.vaccine.2020.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 02/24/2020] [Accepted: 03/01/2020] [Indexed: 12/12/2022]
Abstract
Thanks to the recommendation of a combined Measles/Mumps/Rubella (MMR) vaccine, like Priorix®, these childhood diseases are less common now. This is beneficial to limit the spread of these diseases and work towards their elimination. However, the measles, mumps and rubella antibody titers show a large variability in short- and long-term immunity. The recent outbreaks worldwide of measles and mumps and previous studies, which mostly focused on only one of the three virus responses, illustrate that there is a clear need for better understanding the immune responses after vaccination. Our healthy cohort was already primed with the MMR antigens in their childhood. In this study, the adult volunteers received one Priorix® vaccine dose at day 0. First, we defined 4 different groups of responders, based on their antibody titers' evolution over 4 time points (Day 0, 21, 150 and 365). This showed a high variability within and between individuals. Second, we determined transcriptome profiles using 3'mRNA sequencing at day 0, 3 and 7. Using two analytical approaches, "one response group per time point" and "a time comparison per response group", we correlated the short-term gene expression profiles to the different response groups. In general, the list of differentially expressed genes is limited, however, most of them are clearly immune-related and upregulated at day 3 and 7, compared to the baseline day 0. Depending on the specific response group there are overlapping signatures for two of the three viruses. Antibody titers and transcriptomics data showed that an additional Priorix vaccination does not facilitate an equal immune response against the 3 viruses or among different vaccine recipients.
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Affiliation(s)
- Esther Bartholomeus
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium.
| | - Nicolas De Neuter
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Arvid Suls
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium
| | - George Elias
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Sanne van der Heijden
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Nina Keersmaekers
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Hilde Jansens
- Department of Laboratory Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Viggo Van Tendeloo
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Philippe Beutels
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Kris Laukens
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Benson Ogunjimi
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Department of Paediatrics, Antwerp University Hospital, Edegem, Belgium.
| | - Geert Mortier
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Pierre Van Damme
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Feng D, Sangster-Guity N, Stone R, Korczeniewska J, Mancl ME, Fitzgerald-Bocarsly P, Barnes BJ. Differential requirement of histone acetylase and deacetylase activities for IRF5-mediated proinflammatory cytokine expression. THE JOURNAL OF IMMUNOLOGY 2010; 185:6003-12. [PMID: 20935208 DOI: 10.4049/jimmunol.1000482] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Recent evidence indicates a new role for histone deacetylases (HDACs) in the activation of genes governing the host immune response. Virus, along with other pathogenic stimuli, triggers an antiviral defense mechanism through the induction of IFN, IFN-stimulated genes, and other proinflammatory cytokines. Many of these genes have been shown to be regulated by transcription factors of the IFN regulatory factor (IRF) family. Recent studies from IRF5 knockout mice have confirmed a critical role for IRF5 in virus-induced type I IFN expression and proinflammatory cytokines IL-6, IL-12, and TNF-α; yet, little is known of the molecular mechanism of IRF5-mediated proinflammatory cytokine expression. In this study, we show that both HDACs and histone acetyltransferases (HATs) associate with IRF5, leading to alterations in its transactivation ability. Using the HDAC inhibitor trichostatin A, we demonstrate that ISRE, IFNA, and IL6 promoters require HDAC activity for transactivation and transcription, whereas TNFα does not. Mapping the interaction of corepressor proteins (HDAC1, silencing mediator of retinoid and thyroid receptor/nuclear corepressor of retinoid receptor, and Sin3a) and HATs to IRF5 revealed distinct differences, including the dependence of IRF5 phosphorylation on HAT association resulting in IRF5 acetylation. Data presented in this study support a mechanism whereby virus triggers the dynamic conversion of an IRF5-mediated silencing complex to that of an activating complex on promoters of target genes. These data provide the first evidence, to our knowledge, of a tightly controlled transcriptional mechanism whereby IRF5 regulates proinflammatory cytokine expression in conjunction with HATs and HDACs.
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Affiliation(s)
- Di Feng
- Department of Biochemistry and Molecular Biology, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, NJ 07103, USA
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Baig E, Fish EN. Distinct Signature Type I Interferon Responses are Determined by the Infecting virus and the Target Cell. Antivir Ther 2008. [DOI: 10.1177/135965350801300306] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Type I interferons (IFN) include multiple IFN-α subtypes which exhibit considerable amino acid identity and activate the same cell-surface receptor. The promoter regions of the IFN-α genes, however, have different transcription factor binding sites, implying differential transcriptional activation. Evolutionary conservation of multiple subtypes may have resulted from external pressures associated with the crucial nature of an IFN response, namely that different viruses that are tropic for different target tissues determine the nature and extent of an IFN response, specifically the IFN-α subtype profile. Methods Studies were undertaken to examine inducible IFN gene expression profiles in response to infection with single-stranded RNA viruses: Sendai virus (SeV), murine hepatitis virus (MHV-1) and coxsackie virus B3 (CVB3). Results In vitro, distinct signature profiles of SeV and MHV-1-inducible gene expression for IFN-α2, IFN-α4 and IFN-α5 subtypes in L2 and L929 mouse fibroblast cells, in relation to the extent and kinetics of their induction, were identified. In vivo, whereas A/J mice are highly permissive for both MHV-1 and CVB3 infections and mount a poor IFN response, C57Bl/6 mice are relatively resistant to both virus infections and mount a vigorous IFN response. Conclusions These data suggest that the infecting virus and the target cell type dictate the extent and signature of inducible type I IFN gene expression. The extent of IFN response to viral infection influences the subsequent biological outcome: a robust IFN response prescribes a level of resistance, whereas a poor IFN response contributes towards a permissive phenotype for infection.
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Affiliation(s)
- Ehtesham Baig
- Division of Cell and Molecular Biology, Toronto General Research Institute, University Health Network & Department of Immunology, University of Toronto, Toronto, Canada
| | - Eleanor N Fish
- Division of Cell and Molecular Biology, Toronto General Research Institute, University Health Network & Department of Immunology, University of Toronto, Toronto, Canada
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Sanchez DJ, Miranda D, Arumugaswami V, Hwang S, Singer AE, Senaati A, Shahangian A, Song MJ, Sun R, Cheng G. A repetitive region of gammaherpesvirus genomic DNA is a ligand for induction of type I interferon. J Virol 2008; 82:2208-17. [PMID: 18077715 PMCID: PMC2258961 DOI: 10.1128/jvi.01718-07] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2007] [Accepted: 12/04/2007] [Indexed: 12/25/2022] Open
Abstract
Innate immune responses against viral infection, especially the induction of type I interferon, are critical for limiting the replication of the virus. Although it has been shown that DNA can induce type I interferon, to date no natural DNA ligand of a virus that induces type I interferon has been described. Here we screened the genome of murine gammaherpesvirus 68 with mutations at various genomic locations to map the region of DNA that induces type I interferon. A repetitive region termed the 100-base-pair repeat region is a ligand that is both necessary and sufficient for the viral genomic DNA to induce type I interferon. A region colinear with this ligand in the genome of Kaposi's sarcoma-associated herpesvirus also induces type I interferon. We have thus defined a repetitive region of the genomes of gammaherpesviruses as the first natural DNA virus ligand that induces type I interferon.
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Affiliation(s)
- David Jesse Sanchez
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
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Mesplède T, Island ML, Christeff N, Petek F, Doly J, Navarro S. The POU transcription factor Oct-1 represses virus-induced interferon A gene expression. Mol Cell Biol 2005; 25:8717-31. [PMID: 16166650 PMCID: PMC1265735 DOI: 10.1128/mcb.25.19.8717-8731.2005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Alpha interferon (IFN-alpha) and IFN-beta are able to interfere with viral infection. They exert a vast array of biologic functions, including growth arrest, cell differentiation, and immune system regulation. This regulation extends from innate immunity to cellular and humoral adaptive immune responses. A strict control of expression is needed to prevent detrimental effects of unregulated IFN. Multiple IFN-A subtypes are coordinately induced in human and mouse cells infected by virus and exhibit differences in expression of their individual mRNAs. We demonstrated that the weakly expressed IFN-A11 gene is negatively regulated after viral infection, due to a distal negative regulatory element, binding homeoprotein pituitary homeobox 1 (Pitx1). Here we show that the POU protein Oct-1 binds in vitro and in vivo to the IFN-A11 promoter and represses IFN-A expression upon interferon regulatory factor overexpression. Furthermore, we show that Oct-1-deficient MEFs exhibit increased in vivo IFN-A gene expression and increased antiviral activity. Finally, the IFN-A expression pattern is modified in Oct-1-deficient MEFs. The broad representation of effective and potent octamer-like sequences within IFN-A promoters suggests an important role for Oct-1 in IFN-A regulation.
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Affiliation(s)
- Thibault Mesplède
- Laboratoire de Régulation de la Transcription et Maladies Génétiques, CNRS, UPR 2228, UFR Biomédicale des Saints-Pères, Université René Descartes, 45 Rue des Saints-Pères, 75270 Paris Cedex 06, France
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Wang J, Zhang J, Zhang L, Harrington W, West JT, Wood C. Modulation of human herpesvirus 8/Kaposi's sarcoma-associated herpesvirus replication and transcription activator transactivation by interferon regulatory factor 7. J Virol 2005; 79:2420-31. [PMID: 15681443 PMCID: PMC546578 DOI: 10.1128/jvi.79.4.2420-2431.2005] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Human herpesvirus 8 (HHV-8)/Kaposi's sarcoma-associated herpesvirus infection goes through lytic and latent phases that are regulated by viral gene products, but very little is known about the involvement of host proteins. The replication and transcription activator (RTA) is a viral protein sufficient to initiate lytic replication by activating downstream genes, including the viral early gene open reading frame 57 (ORF 57), which codes for a posttranscriptional activator. In this study, we demonstrate that cellular interferon regulatory factor 7 (IRF-7) negatively regulates this process by competing with RTA for binding to the RTA response element in the ORF 57 promoter to down-regulate RTA-induced gene expression. We also show that alpha interferon represses RTA-mediated transactivation and that repression involves IRF-7. Our study indicates that upon HHV-8 infection, the host responds by suppression of lytic gene expression through binding of IRF-7 to the lytic viral gene promoter. These findings suggest that HHV-8 has developed a novel mechanism to induce but then subvert the innate antiviral response, specifically the interferon-signaling pathway, to regulate RTA activity and ultimately the viral latent/lytic replicative cycle.
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Affiliation(s)
- Jinzhong Wang
- Nebraska Center for Virology and School of Biological Sciences, University of Nebraska--Lincoln, 1901 Vine St., Lincoln, NE 68588-0666, USA
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