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Ochoa EE, Huda R, Scheibel SF, Nichols JE, Mock DJ, El-Daher N, Domurat FM, Roberts NJ. HLA-associated protection of lymphocytes during influenza virus infection. Virol J 2020; 17:128. [PMID: 32831108 PMCID: PMC7444183 DOI: 10.1186/s12985-020-01406-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 08/18/2020] [Indexed: 01/18/2023] Open
Abstract
Background Heterozygosity at HLA class I loci is generally considered beneficial for host defense. We report here an element of HLA class I homozygosity that may or may not help preserve its existence in populations but which could indicate a new avenue for antiviral research. Methods Lymphocytes from serologically HLA-homozygous or -heterozygous donors were examined for synthesis of influenza virus proteins and RNA after exposure to virus as peripheral blood mononuclear cells. The virus-exposed lymphocytes were also examined for internalization of the virus after exposure, and for susceptibility to virus-specific cytotoxic T lymphocytes in comparison with virus-exposed monocytes/macrophages and unseparated peripheral blood mononuclear cells. Results were compared using two-tailed Fisher’s exact test. Results Serologically-defined HLA-A2-homozygous lymphocytes, in contrast to heterozygous lymphocytes, did not synthesize detectable influenza virus RNA or protein after exposure to the virus. HLA-A2-homozygous lymphocytes, including both homozygous and heterozygous donors by genetic sequence subtyping, did internalize infectious virus but were not susceptible to lysis by autologous virus-specific cytotoxic T lymphocytes (“fratricide”). Similar intrinsic resistance to influenza virus infection was observed with HLA-A1- and HLA-A11-homozygous lymphocytes and with HLA-B-homozygous lymphocytes. Conclusions A significant proportion of individuals within a population that is characterized by common expression of HLA class I alleles may possess lymphocytes that are not susceptible to influenza virus infection and thus to mutual virus-specific lysis. Further study may identify new approaches to limit influenza virus infection.
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Affiliation(s)
- Eliana E Ochoa
- Division of Infectious Diseases, Department of Internal Medicine and the Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA
| | - Ruksana Huda
- Division of Infectious Diseases, Department of Internal Medicine and the Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA
| | - Steven F Scheibel
- Infectious Diseases Unit, University of Rochester School of Medicine, Rochester, NY, USA
| | - Joan E Nichols
- Division of Infectious Diseases, Department of Internal Medicine and the Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA
| | - David J Mock
- Infectious Diseases Unit, University of Rochester School of Medicine, Rochester, NY, USA
| | - Nayef El-Daher
- Infectious Diseases Unit, University of Rochester School of Medicine, Rochester, NY, USA
| | - Frank M Domurat
- Infectious Diseases Unit, University of Rochester School of Medicine, Rochester, NY, USA
| | - Norbert J Roberts
- Division of Infectious Diseases, Department of Internal Medicine and the Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA. .,Infectious Diseases Unit, University of Rochester School of Medicine, Rochester, NY, USA. .,Division of Infectious Diseases and Immunology, Department of Medicine, New York University School of Medicine, 462 First Ave, Room A619, New York, NY, 10016, USA.
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Porta A, Tripodi S, Toro MD, Rejdak R, Rejdak K, Zanzottera EC, Ferentini F. Bilateral Acute Macular Neuroretinopathy in a Young Patient: Imaging and Visual Field during Two-Year-Follow-Up. Diagnostics (Basel) 2020; 10:diagnostics10050259. [PMID: 32354001 PMCID: PMC7278004 DOI: 10.3390/diagnostics10050259] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 04/18/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022] Open
Abstract
Acute macular neuroretinopathy (AMN) is a rare disorder. We report a case of bilateral AMN in a young female patient, without any risk factors. She referred a positive scotoma in both eyes after flu-like symptoms. Fundus examination revealed parafoveal dark-reddish oval lesions in both eyes. Therefore, we performed visual field, optical coherence tomography (OCT), fluorescein angiography (FA) and indocyanine green angiography (ICG) at baseline and several times during the two years of follow-up. The infrared (IR) imaging showed one rounded hyporeflective lesion in the left eye and two similar lesions in the right eye. The OCT demonstrated the characteristic alterations in the outer retina. The visual field also demonstrated scotomas corresponding with these lesions. The OCT and IR features disappeared at the end of the follow-up except for the left eye, which continued to have hyperreflective spots in the outer plexiform layer. The patient complained about a residual scotoma only in the left eye after two years. Our case shows a difference in disease progression in the two eyes of the same patient, suggesting that several mechanisms can be implicated in the pathology of AMN.
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Affiliation(s)
- Alessandro Porta
- Department of Ophthalmology, Hospital C. Cantù, 20081 Abbiategrasso, Italy
| | - Sarah Tripodi
- Department of Ophthalmology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don Sempreboni 5, 37024 Negrar, Italy
- Correspondence: ; Tel.: +39-3334441032
| | - Mario Damiano Toro
- Department of General Ophthalmology, Medical University of Lublin, 20079 Lublin, Poland
- Faculty of Medical Science, Collegium Medicum Cardinal Stefan Wyszyński University, 01815 Warsaw, Poland
| | - Robert Rejdak
- Department of General Ophthalmology, Medical University of Lublin, 20079 Lublin, Poland
| | - Konrad Rejdak
- Department of Neurology, Medical University of Lublin, 20079 Lublin, Poland
| | | | - Fabio Ferentini
- Department of Ophthalmology, Hospital C. Cantù, 20081 Abbiategrasso, Italy
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Ashfaq I, Vrahimi M, Waugh S, Soomro T, Grinton ME, Browning AC. Acute Macular Neuroretinopathy Associated with Acute Influenza Virus Infection. Ocul Immunol Inflamm 2019; 29:333-339. [PMID: 31697568 DOI: 10.1080/09273948.2019.1681470] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Purpose: To describe a prospective case series of patients with acute macular neuroretinopathy (AMN) associated with acute influenza virus infectionMethods: Patients who presented with acute macular neuroretinopathy associated with confirmed influenza virus infection were subject to a detailed clinical history, HLA typing and longitudinal ophthalmological and imaging examinations.Results: Four female patients aged 18 to 32 years were studied. They reported the onset of ocular symptoms between 2 and 5 days after the development of flu like symptoms. Three patients had confirmed acute influenza B infection, while the fourth had influenza A. OCT angiography only demonstrated abnormal choriocapillaris perfusion in 1 patient and early oral Oseltamivir treatment appeared not to affect the ophthalmic outcome in one patient.Conclusion: This is the first report of AMN associated with virologically confirmed acute influenza virus infection. Variation in HLA alleles do not appear to predispose patients to influenza associated AMN.
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Affiliation(s)
- Imran Ashfaq
- Ophthalmology Department, Newcastle Eye Centre, Newcastle upon Tyne, UK
| | - Maria Vrahimi
- Ophthalmology Department, Newcastle Eye Centre, Newcastle upon Tyne, UK
| | - Sheila Waugh
- Virology Department, Freeman Hospital, Newcastle upon Tyne, UK
| | - Taha Soomro
- Ophthalmology Department, Newcastle Eye Centre, Newcastle upon Tyne, UK
| | - Michael E Grinton
- Ophthalmology Department, Newcastle Eye Centre, Newcastle upon Tyne, UK
| | - Andrew C Browning
- Ophthalmology Department, Newcastle Eye Centre, Newcastle upon Tyne, UK
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Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens. PLoS Comput Biol 2016; 12:e1005013. [PMID: 27403523 PMCID: PMC4942116 DOI: 10.1371/journal.pcbi.1005013] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 06/06/2016] [Indexed: 12/17/2022] Open
Abstract
Mammalian host response to pathogenic infections is controlled by a complex regulatory network connecting regulatory proteins such as transcription factors and signaling proteins to target genes. An important challenge in infectious disease research is to understand molecular similarities and differences in mammalian host response to diverse sets of pathogens. Recently, systems biology studies have produced rich collections of omic profiles measuring host response to infectious agents such as influenza viruses at multiple levels. To gain a comprehensive understanding of the regulatory network driving host response to multiple infectious agents, we integrated host transcriptomes and proteomes using a network-based approach. Our approach combines expression-based regulatory network inference, structured-sparsity based regression, and network information flow to infer putative physical regulatory programs for expression modules. We applied our approach to identify regulatory networks, modules and subnetworks that drive host response to multiple influenza infections. The inferred regulatory network and modules are significantly enriched for known pathways of immune response and implicate apoptosis, splicing, and interferon signaling processes in the differential response of viral infections of different pathogenicities. We used the learned network to prioritize regulators and study virus and time-point specific networks. RNAi-based knockdown of predicted regulators had significant impact on viral replication and include several previously unknown regulators. Taken together, our integrated analysis identified novel module level patterns that capture strain and pathogenicity-specific patterns of expression and helped identify important regulators of host response to influenza infection. An important challenge in infectious disease research is to understand how the human immune system responds to different types of pathogenic infections. An important component of mounting proper response is the transcriptional regulatory network that specifies the context-specific gene expression program in the host cell. However, our understanding of this regulatory network and how it drives context-specific transcriptional programs is incomplete. To address this gap, we performed a network-based analysis of host response to influenza viruses that integrated high-throughput mRNA- and protein measurements and protein-protein interaction networks to identify virus and pathogenicity-specific modules and their upstream physical regulatory programs. We inferred regulatory networks for human cell line and mouse host systems, which recapitulated several known regulators and pathways of the immune response and viral life cycle. We used the networks to study time point and strain-specific subnetworks and to prioritize important regulators of host response. We predicted several novel regulators, both at the mRNA and protein levels, and experimentally verified their role in the virus life cycle based on their ability to significantly impact viral replication.
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Ruiz-Hernandez R, Mwangi W, Peroval M, Sadeyen JR, Ascough S, Balkissoon D, Staines K, Boyd A, McCauley J, Smith A, Butter C. Host genetics determine susceptibility to avian influenza infection and transmission dynamics. Sci Rep 2016; 6:26787. [PMID: 27279280 PMCID: PMC4899695 DOI: 10.1038/srep26787] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 05/09/2016] [Indexed: 12/22/2022] Open
Abstract
Host-genetic control of influenza virus infection has been the object of little attention. In this study we determined that two inbred lines of chicken differing in their genetic background , Lines 0 and C-B12, were respectively relatively resistant and susceptible to infection with the low pathogenicity influenza virus A/Turkey/England/647/77 as defined by substantial differences in viral shedding trajectories. Resistant birds, although infected, were unable to transmit virus to contact birds, as ultimately only the presence of a sustained cloacal shedding (and not oropharyngeal shedding) was critical for transmission. Restriction of within-bird transmission of virus occurred in the resistant line, with intra-nares or cloacal infection resulting in only local shedding and failing to transmit fully through the gastro-intestinal-pulmonary tract. Resistance to infection was independent of adaptive immune responses, including the expansion of specific IFNγ secreting cells or production of influenza-specific antibody. Genetic resistance to a novel H9N2 virus was less robust, though significant differences between host genotypes were still clearly evident. The existence of host-genetic determination of the outcome of influenza infection offers tools for the further dissection of this regulation and also for understanding the mechanisms of influenza transmission within and between birds.
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Affiliation(s)
- Raul Ruiz-Hernandez
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - William Mwangi
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Marylene Peroval
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Jean-Remy Sadeyen
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Stephanie Ascough
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Devanand Balkissoon
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Karen Staines
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
| | - Amy Boyd
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - John McCauley
- Crick Worldwide Influenza Centre, The Francis Crick Institute, Mill Hill Laboratory, London, United Kingdom
| | - Adrian Smith
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Colin Butter
- Avian Viral Diseases program, The Pirbright Institute, Compton Laboratory, Newbury, United Kingdom
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Maestri A, Sortica VA, Ferreira DL, de Almeida Ferreira J, Amador MAT, de Mello WA, Santos SEB, Sousa RCM. The His131Arg substitution in the FCGR2A gene (rs1801274) is not associated with the severity of influenza A(H1N1)pdm09 infection. BMC Res Notes 2016; 9:296. [PMID: 27267995 PMCID: PMC4897956 DOI: 10.1186/s13104-016-2096-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 05/22/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The virulence and pathogenicity of different influenza strains are responsible for a more or less severe disease. Recent studies have attempted to understand how host genetic factors may influence the clinical presentation of the disease. In the present study, the His131Arg (rs1801274) polymorphism was investigated in individuals from a Brazilian admixed population with a diagnosis of influenza A(H1N1)pdm09 infection. METHODS In the present study, the influence of the His131Arg (rs1801274) polymorphism, a variant of the FCGR2A gene, was investigated in 436 patients with a diagnosis of influenza A(H1N1)pdm09, evaluated at health services in the northern and northeastern regions of Brazil between June 2009 and August 2010. Patients were divided into a group of non-hospitalized patients (n = 192) and a group of hospitalized patients (n = 244; 100 of them died). RESULTS No significant difference in the allele or genotype frequencies of the rs1801274 polymorphism was observed between groups (p = 0.952 and p = 0.388). Multinomial logistic regression showed no effect of the rs1801274 polymorphism on severity or death of patients from the Brazilian admixed population (p = 0.368 and p = 0.469). CONCLUSIONS The rs1801274 polymorphism is not associated with severe disease in patients infected with influenza A(H1N1)pdm09.
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Affiliation(s)
- Alvino Maestri
- />Alvino Maestri Neto, Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Cidade Universitária Prof. José da Silveira Neto, Rua Augusto Corrêa, 01, BOX 8615, CEP 66.075-970 Belém, Pará Brazil
| | | | - Deimy Lima Ferreira
- />Laboratório de Vírus Respiratórios, Seção de Virologia Instituto Evandro Chagas, Ananindeua, Pará Brazil
| | | | | | - Wyller Alencar de Mello
- />Laboratório de Vírus Respiratórios, Seção de Virologia Instituto Evandro Chagas, Ananindeua, Pará Brazil
| | - Sidney Emanuel Batista Santos
- />Núcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Pará Brazil
- />Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará Brazil
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Niu Z, Chasman D, Eisfeld AJ, Kawaoka Y, Roy S. Multi-task consensus clustering of genome-wide transcriptomes from related biological conditions. Bioinformatics 2016; 32:1509-17. [PMID: 26801959 DOI: 10.1093/bioinformatics/btw007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 01/04/2016] [Indexed: 12/27/2022] Open
Abstract
MOTIVATION Identifying the shared and pathogen-specific components of host transcriptional regulatory programs is important for understanding the principles of regulation of immune response. Recent efforts in systems biology studies of infectious diseases have resulted in a large collection of datasets measuring host transcriptional response to various pathogens. Computational methods to identify and compare gene expression modules across different infections offer a powerful way to identify strain-specific and shared components of the regulatory program. An important challenge is to identify statistically robust gene expression modules as well as to reliably detect genes that change their module memberships between infections. RESULTS We present MULCCH (MULti-task spectral Consensus Clustering for Hierarchically related tasks), a consensus extension of a multi-task clustering algorithm to infer high-confidence strain-specific host response modules under infections from multiple virus strains. On simulated data, MULCCH more accurately identifies genes exhibiting pathogen-specific patterns compared to non-consensus and nonmulti-task clustering approaches. Application of MULCCH to mammalian transcriptional response to a panel of influenza viruses showed that our method identifies clusters with greater coherence compared to non-consensus methods. Further, MULCCH derived clusters are enriched for several immune system-related processes and regulators. In summary, MULCCH provides a reliable module-based approach to identify molecular pathways and gene sets characterizing commonality and specificity of host response to viruses of different pathogenicities. AVAILABILITY AND IMPLEMENTATION The source code is available at https://bitbucket.org/roygroup/mulcch CONTACT sroy@biostat.wisc.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zhen Niu
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Deborah Chasman
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Amie J Eisfeld
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, 53711, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, 53711, USA Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Sushmita Roy
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53792, USA
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Maestri A, Sortica VA, Tovo-Rodrigues L, Santos MC, Barbagelata L, Moraes MR, Alencar de Mello W, Gusmão L, Sousa RCM, Emanuel Batista dos Santos S. Siaα2-3Galβ1- Receptor Genetic Variants Are Associated with Influenza A(H1N1)pdm09 Severity. PLoS One 2015; 10:e0139681. [PMID: 26436774 PMCID: PMC4593567 DOI: 10.1371/journal.pone.0139681] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2015] [Accepted: 09/16/2015] [Indexed: 01/30/2023] Open
Abstract
Different host genetic variants may be related to the virulence and transmissibility of pandemic Influenza A(H1N1)pdm09, influencing events such as binding of the virus to the entry receptor on the cell of infected individuals and the host immune response. In the present study, two genetic variants of the ST3GAL1 gene, which encodes the Siaα2-3Galβ1- receptor to which influenza A(H1N1)pdm09 virus binds for entry into the host cell, were investigated in an admixed Brazilian population. First, the six exons encoding the ST3GAL1 gene were sequenced in 68 patients infected with strain A(H1N1)pdm09. In a second phase of the study, the rs113350588 and rs1048479 polymorphisms identified in this sample were genotyped in a sample of 356 subjects from the northern and northeastern regions of Brazil with a diagnosis of pandemic influenza. Functional analysis of the polymorphisms was performed in silico and the influence of these variants on the severity of infection was evaluated. The results suggest that rs113350588 and rs1048479 may alter the function of ST3GAL1 either directly through splicing regulation alteration and/or indirectly through LD with SNP with regulatory function. In the study the rs113350588 and rs1048479 polymorphisms were in linkage disequilibrium in the population studied (D’ = 0.65). The GC haplotype was associated with an increased risk of death in subjects with influenza (OR = 4.632, 95% CI = 2.10;1.21). The AT haplotype was associated with an increased risk of severe disease and death (OR = 1.993, 95% CI = 1.09;3.61 and OR 4.476, 95% CI = 2.37;8.44, respectively). This study demonstrated for the first time the association of ST3GAL1 gene haplotypes on the risk of more severe disease and death in patients infected with Influenza A(H1N1)pdm09 virus.
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Affiliation(s)
- Alvino Maestri
- Laboratory of Human and Medical Genetics, Federal University of Pará, Belém, Pará, Brazil
- * E-mail:
| | | | - Luciana Tovo-Rodrigues
- Centre of Epidemiological research, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Mirleide Cordeiro Santos
- Laboratory of Respiratory Viruses, Virology Section, Evandro Chagas Institute, Ananindeua, Pará, Brazil
| | - Luana Barbagelata
- Laboratory of Respiratory Viruses, Virology Section, Evandro Chagas Institute, Ananindeua, Pará, Brazil
| | - Milene Raiol Moraes
- Laboratory of Human and Medical Genetics, Federal University of Pará, Belém, Pará, Brazil
| | - Wyller Alencar de Mello
- Laboratory of Respiratory Viruses, Virology Section, Evandro Chagas Institute, Ananindeua, Pará, Brazil
| | - Leonor Gusmão
- Institute of Molecular Pathology and Immunology, University of Porto (IPATIMUP), Porto, Portugal
| | - Rita Catarina Medeiros Sousa
- Laboratory of Respiratory Viruses, Virology Section, Evandro Chagas Institute, Ananindeua, Pará, Brazil
- Tropical Medicine Institute, Federal University of Pará, Belém, Pará, Brazil
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Maestri A, dos Santos MC, Ribeiro-Rodrigues EM, de Mello WA, Sousa RCM, dos Santos SE, Sortica VA. The CCR5Δ32 (rs333) polymorphism is not a predisposing factor for severe pandemic influenza in the Brazilian admixed population. BMC Res Notes 2015. [PMID: 26223981 PMCID: PMC4520097 DOI: 10.1186/s13104-015-1299-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Recent studies have tried to identify host genetic variants that could explain severe cases and deaths in infection with Influenza A(H1N1)pdm09, especially among children and young adults. CCR5 is a chemokine receptor expressed on T cells, macrophages and dendritic cells, which is an important mediator of leukocyte chemotaxis during the immune response. A deletion mutation (Δ32) in this gene interferes with the response of immune cells, impairing viral clearance. We evaluated the CCR5Δ32 polymorphism (rs333) in individuals of the Brazilian admixed population with a diagnosis of Influenza A(H1N1)pdm09 infection. Methods A total of 330 subjects with a diagnosis of Influenza A(H1N1)pdm09, evaluated at health services in the northern and northeastern regions of Brazil between June 2009 and August 2010, were genotyped for the Δ32 deletion (rs333). The cases were classified according to the progression of infection into a group of hospitalized patients (n = 156) and a group of non-hospitalized patients (n = 174). Results No significant differences in the allele or genotype frequencies of the CCR5Δ32 polymorphism were observed between non-hospitalized and hospitalized patients (p = 0.289 and p = 0.431, respectively). Conclusion The Δ32 deletion in the CCR5 gene is not associated with an unfavorable outcome in patients infected with Influenza A(H1N1)pdm09 in the Brazilian admixed population. Electronic supplementary material The online version of this article (doi:10.1186/s13104-015-1299-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alvino Maestri
- Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Cidade Universitária Prof. José da Silveira Neto, Rua Augusto Corrêa, 01, BOX: 8615, Belém, Pará, CEP: 66.075-970, Brazil.
| | | | - Elzemar M Ribeiro-Rodrigues
- Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Cidade Universitária Prof. José da Silveira Neto, Rua Augusto Corrêa, 01, BOX: 8615, Belém, Pará, CEP: 66.075-970, Brazil.
| | | | | | - Sidney Emanuel dos Santos
- Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Cidade Universitária Prof. José da Silveira Neto, Rua Augusto Corrêa, 01, BOX: 8615, Belém, Pará, CEP: 66.075-970, Brazil.
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Abstract
Blood group antigens represent polymorphic traits inherited among individuals and populations. At present, there are 34 recognized human blood groups and hundreds of individual blood group antigens and alleles. Differences in blood group antigen expression can increase or decrease host susceptibility to many infections. Blood groups can play a direct role in infection by serving as receptors and/or coreceptors for microorganisms, parasites, and viruses. In addition, many blood group antigens facilitate intracellular uptake, signal transduction, or adhesion through the organization of membrane microdomains. Several blood groups can modify the innate immune response to infection. Several distinct phenotypes associated with increased host resistance to malaria are overrepresented in populations living in areas where malaria is endemic, as a result of evolutionary pressures. Microorganisms can also stimulate antibodies against blood group antigens, including ABO, T, and Kell. Finally, there is a symbiotic relationship between blood group expression and maturation of the gastrointestinal microbiome.
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Affiliation(s)
- Laura Cooling
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
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11
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Qin Y, Horby PW, Tsang TK, Chen E, Gao L, Ou J, Nguyen TH, Duong TN, Gasimov V, Feng L, Wu P, Jiang H, Ren X, Peng Z, Li S, Li M, Zheng J, Liu S, Hu S, Hong R, Farrar JJ, Leung GM, Gao GF, Cowling BJ, Yu H. Differences in the Epidemiology of Human Cases of Avian Influenza A(H7N9) and A(H5N1) Viruses Infection. Clin Infect Dis 2015; 61:563-71. [PMID: 25940354 DOI: 10.1093/cid/civ345] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 04/21/2015] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The pandemic potential of avian influenza viruses A(H5N1) and A(H7N9) remains an unresolved but critically important question. METHODS We compared the characteristics of sporadic and clustered cases of human H5N1 and H7N9 infection, estimated the relative risk of infection in blood-related contacts, and the reproduction number (R). RESULTS We assembled and analyzed data on 720 H5N1 cases and 460 H7N9 cases up to 2 November 2014. The severity and average age of sporadic/index cases of H7N9 was greater than secondary cases (71% requiring intensive care unit admission vs 33%, P = .007; median age 59 years vs 31, P < .001). We observed no significant differences in the age and severity between sporadic/index and secondary H5N1 cases. The upper limit of the 95% confidence interval (CI) for R was 0.12 for H5N1 and 0.27 for H7N9. A higher proportion of H5N1 infections occurred in clusters (20%) compared to H7N9 (8%). The relative risk of infection in blood-related contacts of cases compared to unrelated contacts was 8.96 for H5N1 (95% CI, 1.30, 61.86) and 0.80 for H7N9 (95% CI, .32, 1.97). CONCLUSIONS The results are consistent with an ascertainment bias towards severe and older cases for sporadic H7N9 but not for H5N1. The lack of evidence for ascertainment bias in sporadic H5N1 cases, the more pronounced clustering of cases, and the higher risk of infection in blood-related contacts, support the hypothesis that susceptibility to H5N1 may be limited and familial. This analysis suggests the potential pandemic risk may be greater for H7N9 than H5N1.
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Affiliation(s)
- Ying Qin
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peter W Horby
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, United Kingdom Singapore Infectious Disease Initiative
| | - Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou
| | - Lidong Gao
- Hunan Provincial Center for Disease Control and Prevention, Changsha
| | - Jianming Ou
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | | | - Tran Nhu Duong
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | | | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Hui Jiang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Ren
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhibin Peng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Sa Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ming Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiandong Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shelan Liu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou
| | - Shixiong Hu
- Hunan Provincial Center for Disease Control and Prevention, Changsha
| | - Rongtao Hong
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Jeremy J Farrar
- Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, United Kingdom Singapore Infectious Disease Initiative ISARIC, Centre for Tropical Medicine, University of Oxford, Churchill Hospital, United Kingdom
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences Office of Director-General, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
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12
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Geller G, Dvoskin R, Thio CL, Duggal P, Lewis MH, Bailey TC, Sutherland A, Salmon DA, Kahn JP. Genomics and infectious disease: a call to identify the ethical, legal and social implications for public health and clinical practice. Genome Med 2014; 6:106. [PMID: 25593592 PMCID: PMC4295297 DOI: 10.1186/s13073-014-0106-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Advances in genomics are contributing to the development of more effective, personalized approaches to the prevention and treatment of infectious diseases. Genetic sequencing technologies are furthering our understanding of how human and pathogen genomic factors - and their interactions - contribute to individual differences in immunologic responses to vaccines, infections and drug therapies. Such understanding will influence future policies and procedures for infectious disease management. With the potential for tailored interventions for particular individuals, populations or subpopulations, ethical, legal and social implications (ELSIs) may arise for public health and clinical practice. Potential considerations include balancing health-related benefits and harms between individuals and the larger community, minimizing threats to individual privacy and autonomy, and ensuring just distribution of scarce resources. In this Opinion, we consider the potential application of pathogen and host genomic information to particular viral infections that have large-scale public health consequences but differ in ELSI-relevant characteristics such as ease of transmission, chronicity, severity, preventability and treatability. We argue for the importance of anticipating these ELSI issues in advance of new scientific discoveries, and call for the development of strategies for identifying and exploring ethical questions that should be considered as clinical, public health and policy decisions are made.
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Affiliation(s)
- Gail Geller
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205 USA ; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ; Department of Health, Behavior & Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA ; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA
| | - Rachel Dvoskin
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205 USA
| | - Chloe L Thio
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA
| | - Michelle H Lewis
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205 USA
| | - Theodore C Bailey
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205 USA ; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Andrea Sutherland
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA
| | - Daniel A Salmon
- Department of Health, Behavior & Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA ; Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA
| | - Jeffrey P Kahn
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205 USA ; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205 USA
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13
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Abstract
While the role of viral variants has long been known to play a key role in causing variation in disease severity, it is also clear that host genetic variation plays a critical role in determining virus-induced disease responses. However, a variety of factors, including confounding environmental variables, rare genetic variants requiring extremely large cohorts, the temporal dynamics of infections, and ethical limitation on human studies, have made the identification and dissection of variant host genes and pathways difficult within human populations. This difficulty has led to the development of a variety of experimental approaches used to identify host genetic contributions to disease responses. In this chapter, we describe the history of genetic associations within the human population, the development of experimentally tractable systems, and the insights these specific approaches provide. We conclude with a discussion of recent advances that allow for the investigation of the role of complex genetic networks that underlie host responses to infection, with the goal of drawing connections to human infections. In particular, we highlight the need for robust animal models with which to directly control and assess the role of host genetics on viral infection outcomes.
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14
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Hirata N, Suizu F, Matsuda-Lennikov M, Edamura T, Bala J, Noguchi M. Inhibition of Akt kinase activity suppresses entry and replication of influenza virus. Biochem Biophys Res Commun 2014; 450:891-8. [PMID: 24971535 DOI: 10.1016/j.bbrc.2014.06.077] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 06/17/2014] [Indexed: 10/25/2022]
Abstract
The possibility of the pandemic spread of influenza viruses highlights the need for an effective cure for this life-threatening disease. Influenza A virus, belonging to a family of orthomyxoviruses, is a negative-strand RNA virus which encodes 11 viral proteins. A numbers of intracellular signaling pathways in the host cells interact with influenza the viral proteins, which affect various stages of viral infection and replication. In this study, we investigated how inhibition of Akt kinase activity impacts on influenza virus infection by using "Akt-in", a peptide Akt inhibitor. In PR8 influenza-infected A549 cells, Akt interacted with the NS1 (Non structural protein 1), and hence increased phosphorylation of Akt kinase activity and NS1. Treatment of cells with either "TCL1- or TCL1b-based Akt-in" efficiently suppressed Akt kinase activity while decreasing the levels of phosphorylated NS1; this, in turn, inhibited viral replication in a dose- and time-dependent manner. The inhibitory effect on viral replication appears to not be due to inhibition of the production of inflammatory cytokines, including IL-6 and IL-8, in the host cells. Inhibition of Akt kinase activity in the host cells inhibited the efficiency of viral entry, which is associated with decreased levels of phosphorylated glycogen synthase kinase 3, a substrate of Akt. Thus inhibition of Akt kinase activity in host cells may have therapeutic advantages for influenza virus infection by inhibiting viral entry and replication.
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Affiliation(s)
- Noriyuki Hirata
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Futoshi Suizu
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Mami Matsuda-Lennikov
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Tatsuma Edamura
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Jyoti Bala
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Masayuki Noguchi
- Division of Cancer Biology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan.
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15
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Wilks J, Beilinson H, Golovkina TV. Dual role of commensal bacteria in viral infections. Immunol Rev 2014; 255:222-9. [PMID: 23947358 DOI: 10.1111/imr.12097] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
With our abilities to culture and sequence the commensal bacteria that dwell on and within a host, we can now study the host in its entirety, as a supraorganism that must be navigated by the pathogen invader. At present, the majority of studies have focused on the interaction between the host's microbiota and bacterial pathogens. This is not unwarranted, given that bacterial pathogens must compete with commensal organisms for the limited territory afforded by the host. However, viral pathogens also enter the host through surfaces coated with microbial life and encounter an immune system shaped by this symbiotic community. Therefore, we believe that the microbiota cannot be ignored when examining the interplay between the host and viral pathogens. Here, we review work that details mechanisms by which the microbiota either promotes or inhibits viral replication and virally induced pathogenesis. The impact of the microbitota on viral infection promises to be a new and exciting avenue of investigation, which will ultimately lead to better treatments and preventions of virally induced disease.
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Affiliation(s)
- Jessica Wilks
- Department of Microbiology, University of Chicago, Chicago, IL 60637, USA
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16
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Mitchell HD, Eisfeld AJ, Sims AC, McDermott JE, Matzke MM, Webb-Robertson BJM, Tilton SC, Tchitchek N, Josset L, Li C, Ellis AL, Chang JH, Heegel RA, Luna ML, Schepmoes AA, Shukla AK, Metz TO, Neumann G, Benecke AG, Smith RD, Baric RS, Kawaoka Y, Katze MG, Waters KM. A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses. PLoS One 2013; 8:e69374. [PMID: 23935999 PMCID: PMC3723910 DOI: 10.1371/journal.pone.0069374] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Accepted: 06/07/2013] [Indexed: 12/02/2022] Open
Abstract
Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection of both viruses in human lung epithelial cells are utilized to predict regulatory genes involved in the host response. We take advantage of a novel “crowd-based” approach to identify and combine ranking metrics that isolate genes/proteins likely related to the pathogenicity of SARS-CoV and influenza virus. Subsequently, a multivariate regression model is used to compare predicted lung epithelial regulatory influences with data derived from other respiratory virus infection models. We predicted a small set of regulatory factors with conserved behavior for consideration as important components of viral pathogenesis that might also serve as therapeutic targets for intervention. Our results demonstrate the utility of integrating diverse ‘omic datasets to predict and prioritize regulatory features conserved across multiple pathogen infection models.
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Affiliation(s)
- Hugh D. Mitchell
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
- * E-mail:
| | - Amie J. Eisfeld
- Department of Pathobiological Sciences, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Amy C. Sims
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jason E. McDermott
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Melissa M. Matzke
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Bobbi-Jo M. Webb-Robertson
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Susan C. Tilton
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Nicolas Tchitchek
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Laurence Josset
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Chengjun Li
- Department of Pathobiological Sciences, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Amy L. Ellis
- Department of Pathobiological Sciences, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jean H. Chang
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
| | - Robert A. Heegel
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Maria L. Luna
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Athena A. Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Anil K. Shukla
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Thomas O. Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Gabriele Neumann
- Department of Pathobiological Sciences, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Arndt G. Benecke
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
- Université Pierre et Marie Curie, Centre National de la Recherche Scientifique UMR7224, Paris, France
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Ralph S. Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Yoshihiro Kawaoka
- Department of Pathobiological Sciences, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- ERATO Infection-Induced Host Responses Project, Saitama, Japan
| | - Michael G. Katze
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
- Washington National Primate Research Center, University of Washington, Seattle, Washington, United States of America
| | - Katrina M. Waters
- Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
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17
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Abstract
Two studies of H5N1 avian influenza viruses that had been genetically engineered to render them transmissible between ferrets have proved highly controversial. Divergent opinions exist about the importance of these studies of influenza transmission and about potential 'dual use' research implications. No consensus has developed yet about how to balance these concerns. After not recommending immediate full publication of earlier, less complete versions of the studies, the United States National Science Advisory Board for Biosecurity subsequently recommended full publication of more complete manuscripts; however, controversy about this and similar research remains.
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18
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Horby P, Nguyen NY, Dunstan SJ, Baillie JK. The role of host genetics in susceptibility to influenza: a systematic review. PLoS One 2012; 7:e33180. [PMID: 22438897 PMCID: PMC3305291 DOI: 10.1371/journal.pone.0033180] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 02/06/2012] [Indexed: 12/24/2022] Open
Abstract
Background The World Health Organization has identified studies of the role of host genetics on susceptibility to severe influenza as a priority. A systematic review was conducted to summarize the current state of evidence on the role of host genetics in susceptibility to influenza (PROSPERO registration number: CRD42011001380). Methods and Findings PubMed, Web of Science, the Cochrane Library, and OpenSIGLE were searched using a pre-defined strategy for all entries up to the date of the search. Two reviewers independently screened the title and abstract of 1,371 unique articles, and 72 full text publications were selected for inclusion. Mouse models clearly demonstrate that host genetics plays a critical role in susceptibility to a range of human and avian influenza viruses. The Mx genes encoding interferon inducible proteins are the best studied but their relevance to susceptibility in humans is unknown. Although the MxA gene should be considered a candidate gene for further study in humans, over 100 other candidate genes have been proposed. There are however no data associating any of these candidate genes to susceptibility in humans, with the only published study in humans being under-powered. One genealogy study presents moderate evidence of a heritable component to the risk of influenza-associated death, and while the marked familial aggregation of H5N1 cases is suggestive of host genetic factors, this remains unproven. Conclusion The fundamental question “Is susceptibility to severe influenza in humans heritable?” remains unanswered. Not because of a lack of genotyping or analytic tools, nor because of insufficient severe influenza cases, but because of the absence of a coordinated effort to define and assemble cohorts of cases. The recent pandemic and the ongoing epizootic of H5N1 both represent rapidly closing windows of opportunity to increase understanding of the pathogenesis of severe influenza through multi-national host genetic studies.
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Affiliation(s)
- Peter Horby
- Oxford University Clinical Research Unit-Wellcome Trust Major Overseas Programme, Hanoi, Vietnam.
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19
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Immunogenetic factors associated with severe respiratory illness caused by zoonotic H1N1 and H5N1 influenza viruses. Clin Dev Immunol 2011; 2012:797180. [PMID: 22110538 PMCID: PMC3216312 DOI: 10.1155/2012/797180] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Accepted: 09/16/2011] [Indexed: 01/31/2023]
Abstract
Following the 2009 H1N1 pandemic and ongoing sporadic avian-to-human transmission of H5N1 viruses, an emphasis has been placed on better understanding the determinants and pathogenesis of severe influenza infections. Much of the current literature has focused on viral genetics and its impact on host immunity as well as novel risk factors for severe infection (particularly within the H1N1 pandemic). An understanding of the host genetic determinants of susceptibility and severe respiratory illness, however, is currently lacking. By better defining the role of genetic variability in influenza infection and identifying key polymorphisms that impair the host immune response or correlate with protection, we will be able to better identify at-risk populations and new targets for therapeutic interventions and vaccines. This paper will summarize known immunogenetic factors associated with susceptibility or severity of both pH1N1 and H5N1 infections and will also identify genetic pathways and polymorphisms of high relevance for future study.
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20
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Ivan FX, Rajapakse JC, Welsch RE, Rozen SG, Narasaraju T, Xiong GM, Engelward BP, Chow VT. Differential pulmonary transcriptomic profiles in murine lungs infected with low and highly virulent influenza H3N2 viruses reveal dysregulation of TREM1 signaling, cytokines, and chemokines. Funct Integr Genomics 2011; 12:105-17. [PMID: 21874528 DOI: 10.1007/s10142-011-0247-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2011] [Revised: 07/22/2011] [Accepted: 08/15/2011] [Indexed: 11/25/2022]
Abstract
Investigating the relationships between critical influenza viral mutations contributing to increased virulence and host expression factors will shed light on the process of severe pathogenesis from the systems biology perspective. We previously generated a mouse-adapted, highly virulent influenza (HVI) virus through serial lung-to-lung passaging of a human influenza H3N2 virus strain that causes low virulent influenza (LVI) in murine lungs. This HVI virus is characterized by enhanced replication kinetics, severe lung injury, and systemic spread to major organs. Our gene microarray investigations compared the host transcriptomic responses of murine lungs to LVI virus and its HVI descendant at 12, 48, and 96 h following infection. More intense expression of genes associated with cytokine activity, type 1 interferon response, and apoptosis was evident in HVI at all time-points. We highlighted dysregulation of the TREM1 signaling pathway (an amplifier of cytokine production) that is likely to be upregulated in infiltrating neutrophils in HVI-infected lungs. The cytokine gene expression changes were corroborated by elevated levels of multiple cytokine and chemokine proteins in the bronchoalveolar lavage fluid of infected mice, especially at 12 h post-infection. Concomitantly, the downregulation of genes that mediate proliferative, developmental, and metabolic processes likely contributed to the lethality of HVI as well as lack of lung repair. Overall, our comparative transcriptomic study provided insights into key host factors that influence the dynamics, pathogenesis, and outcome of severe influenza.
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Affiliation(s)
- Fransiskus X Ivan
- Computational and Systems Biology Program, Singapore-MIT Alliance, Singapore, Singapore
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21
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Zúñiga J, Buendía-Roldán I, Zhao Y, Jiménez L, Torres D, Romo J, Ramírez G, Cruz A, Vargas-Alarcon G, Sheu CC, Chen F, Su L, Tager AM, Pardo A, Selman M, Christiani DC. Genetic variants associated with severe pneumonia in A/H1N1 influenza infection. Eur Respir J 2011; 39:604-10. [PMID: 21737555 DOI: 10.1183/09031936.00020611] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The A/H1N1 influenza strain isolated in Mexico in 2009 caused severe pulmonary illness in a small number of exposed individuals. Our objective was to determine the influence of genetic factors on their susceptibility. We carried out a case-control association study genotyping 91 patients with confirmed severe pneumonia from A/H1N1 infection and 98 exposed but asymptomatic household contacts, using the HumanCVD BeadChip (Illumina, San Diego, CA, USA). Four risk single-nucleotide polymorphisms were significantly (p<0.0001) associated with severe pneumonia: rs1801274 (Fc fragment of immunoglobulin G, low-affinity IIA, receptor (FCGR2A) gene, chromosome 1; OR 2.68, 95% CI 1.69-4.25); rs9856661 (gene unknown, chromosome 3; OR 2.62, 95% CI 1.64-4.18); rs8070740 (RPA interacting protein (RPAIN) gene, chromosome 17; OR 2.67, 95% CI 1.63-4.39); and rs3786054 (complement component 1, q subcomponent binding protein (C1QBP) gene, chromosome 17; OR 3.13, 95% CI 1.89-5.17). All SNP associations remained significant after adjustment for sex and comorbidities. The SNPs on chromosome 17 were in linkage disequilibrium. These findings revealed that gene polymorphisms located in chromosomes 1 and 17 might influence susceptibility to development of severe pneumonia in A/H1N1 infection. Two of these SNPs are mapped within genes (FCGR2A, C1QBP) involved in the handling of immune complexes and complement activation, respectively, suggesting that these genes may confer risk due to increased activation of host immunity.
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Affiliation(s)
- J Zúñiga
- Instituto Nacional deEnfermedades Respiratorias IsmaelCosio Villegas, Universidad Nacional Autónoma de México, México City, Mexico
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22
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Illumination of parainfluenza virus infection and transmission in living animals reveals a tissue-specific dichotomy. PLoS Pathog 2011; 7:e1002134. [PMID: 21750677 PMCID: PMC3131265 DOI: 10.1371/journal.ppat.1002134] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2011] [Accepted: 05/07/2011] [Indexed: 11/19/2022] Open
Abstract
The parainfluenza viruses (PIVs) are highly contagious respiratory paramyxoviruses and a leading cause of lower respiratory tract (LRT) disease. Since no vaccines or antivirals exist, non-pharmaceutical interventions are the only means of control for these pathogens. Here we used bioluminescence imaging to visualize the spatial and temporal progression of murine PIV1 (Sendai virus) infection in living mice after intranasal inoculation or exposure by contact. A non-attenuated luciferase reporter virus (rSeV-luc(M-F*)) that expressed high levels of luciferase yet was phenotypically similar to wild-type Sendai virus in vitro and in vivo was generated to allow visualization. After direct intranasal inoculation, we unexpectedly observed that the upper respiratory tract (URT) and trachea supported robust infection under conditions that result in little infection or pathology in the lungs including a low inoculum of virus, an attenuated virus, and strains of mice genetically resistant to lung infection. The high permissivity of the URT and trachea to infection resulted in 100% transmission to naïve contact recipients, even after low-dose (70 PFU) inoculation of genetically resistant BALB/c donor mice. The timing of transmission was consistent with the timing of high viral titers in the URT and trachea of donor animals but was independent of the levels of infection in the lungs of donors. The data therefore reveals a disconnect between transmissibility, which is associated with infection in the URT, and pathogenesis, which arises from infection in the lungs and the immune response. Natural infection after transmission was universally robust in the URT and trachea yet limited in the lungs, inducing protective immunity without weight loss even in genetically susceptible 129/SvJ mice. Overall, these results reveal a dichotomy between PIV infection in the URT and trachea versus the lungs and define a new model for studies of pathogenesis, development of live virus vaccines, and testing of antiviral therapies. Human parainfluenza viruses (HPIVs) are a leading cause of pediatric hospitalization for lower respiratory tract infection, yet it is unknown why primary infection typically induces immunity without causing severe pathology. To study the determinants of PIV spread within the respiratory tracts of living animals, we developed a model for non-invasive imaging of living mice infected with Sendai virus, the murine counterpart of HPIV1. This system allowed us to measure the temporal and spatial dynamics of paramyxovirus infection throughout the respiratory tracts of living animals after direct inoculation or transmission. We found that the upper respiratory tract and trachea were highly permissive to infection, even under conditions that limit lower respiratory infection and pathogenesis. The timing of transmission coincided with high virus growth in the upper respiratory tracts and trachea of donor mice independent of the extent of infection in the lungs. After transmission, infection spread preferentially in the upper respiratory tract and trachea, inducing protective immunity without weight loss. Our work reveals a disconnect between Sendai virus transmissibility and pathogenicity, and the experimental model developed here will be instrumental in studying PIV pathogenesis.
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23
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Influenza A virus transmission: contributing factors and clinical implications. Expert Rev Mol Med 2010; 12:e39. [PMID: 21144091 DOI: 10.1017/s1462399410001705] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Efficient human-to-human transmission is a necessary property for the generation of a pandemic influenza virus. To date, only influenza A viruses within the H1-H3 subtypes have achieved this capacity. However, sporadic cases of severe disease in individuals following infection with avian influenza A viruses over the past decade, and the emergence of a pandemic H1N1 swine-origin virus in 2009, underscore the need to better understand how influenza viruses acquire the ability to transmit efficiently. In this review, we discuss the biological constraints and molecular features known to affect virus transmissibility to and among humans. Factors influencing the behaviour of aerosols in the environment are described, and the mammalian models used to study virus transmission are presented. Recent progress in understanding the molecular determinants that confer efficient transmission has identified crucial roles for the haemagglutinin and polymerase proteins; nevertheless, influenza virus transmission remains a polygenic trait that is not completely understood. The clinical implications of this research, including methods currently under investigation to mitigate influenza virus human-to-human transmission, are discussed. A better understanding of the viral determinants necessary for efficient transmission will allow us to identify avian influenza viruses with pandemic potential.
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24
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Carlson CM, Turpin EA, Moser LA, O'Brien KB, Cline TD, Jones JC, Tumpey TM, Katz JM, Kelley LA, Gauldie J, Schultz-Cherry S. Transforming growth factor-β: activation by neuraminidase and role in highly pathogenic H5N1 influenza pathogenesis. PLoS Pathog 2010; 6:e1001136. [PMID: 20949074 PMCID: PMC2951376 DOI: 10.1371/journal.ppat.1001136] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2010] [Accepted: 09/07/2010] [Indexed: 01/02/2023] Open
Abstract
Transforming growth factor-beta (TGF-β), a multifunctional cytokine regulating several immunologic processes, is expressed by virtually all cells as a biologically inactive molecule termed latent TGF-β (LTGF-β). We have previously shown that TGF-β activity increases during influenza virus infection in mice and suggested that the neuraminidase (NA) protein mediates this activation. In the current study, we determined the mechanism of activation of LTGF-β by NA from the influenza virus A/Gray Teal/Australia/2/1979 by mobility shift and enzyme inhibition assays. We also investigated whether exogenous TGF-β administered via a replication-deficient adenovirus vector provides protection from H5N1 influenza pathogenesis and whether depletion of TGF-β during virus infection increases morbidity in mice. We found that both the influenza and bacterial NA activate LTGF-β by removing sialic acid motifs from LTGF-β, each NA being specific for the sialic acid linkages cleaved. Further, NA likely activates LTGF-β primarily via its enzymatic activity, but proteases might also play a role in this process. Several influenza A virus subtypes (H1N1, H1N2, H3N2, H5N9, H6N1, and H7N3) except the highly pathogenic H5N1 strains activated LTGF-β in vitro and in vivo. Addition of exogenous TGF-β to H5N1 influenza virus-infected mice delayed mortality and reduced viral titers whereas neutralization of TGF-β during H5N1 and pandemic 2009 H1N1 infection increased morbidity. Together, these data show that microbe-associated NAs can directly activate LTGF-β and that TGF-β plays a pivotal role protecting the host from influenza pathogenesis.
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Affiliation(s)
- Christina M. Carlson
- Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Elizabeth A. Turpin
- Pfizer Inc., Department of Viral Vaccines, Research Triangle Park, North Carolina, United States of America
| | - Lindsey A. Moser
- Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Kevin B. O'Brien
- Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, Wisconsin, United States of America
- Department of Infectious Disease, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America
| | - Troy D. Cline
- Department of Infectious Disease, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America
| | - Jeremy C. Jones
- Department of Infectious Disease, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America
| | - Terrence M. Tumpey
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jacqueline M. Katz
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Laura A. Kelley
- Biosciences Research Laboratory, USDA Agricultural Research Station, Fargo, North Dakota, United States of America
| | - Jack Gauldie
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Stacey Schultz-Cherry
- Department of Infectious Disease, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America
- * E-mail:
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Macaque proteome response to highly pathogenic avian influenza and 1918 reassortant influenza virus infections. J Virol 2010; 84:12058-68. [PMID: 20844032 DOI: 10.1128/jvi.01129-10] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The host proteome response and molecular mechanisms that drive disease in vivo during infection by a human isolate of the highly pathogenic avian influenza virus (HPAI) and 1918 pandemic influenza virus remain poorly understood. This study presents a comprehensive characterization of the proteome response in cynomolgus macaque (Macaca fascicularis) lung tissue over 7 days of infection with HPAI (the most virulent), a reassortant virus containing 1918 hemagglutinin and neuraminidase surface proteins (intermediate virulence), or a human seasonal strain (least virulent). A high-sensitivity two-dimensional liquid chromatography-tandem mass spectroscopy strategy and functional network analysis were implemented to gain insight into response pathways activated in macaques during influenza virus infection. A macaque protein database was assembled and used in the identification of 35,239 unique peptide sequences corresponding to approximately 4,259 proteins. Quantitative analysis identified an increase in expression of 400 proteins during viral infection. The abundance levels of a subset of these 400 proteins produced strong correlations with disease progression observed in the macaques, distinguishing a "core" response to viral infection from a "high" response specific to severe disease. Proteome expression profiles revealed distinct temporal response kinetics between viral strains, with HPAI inducing the most rapid response. While proteins involved in the immune response, metabolism, and transport were increased rapidly in the lung by HPAI, the other viruses produced a delayed response, characterized by an increase in proteins involved in oxidative phosphorylation, RNA processing, and translation. Proteomic results were integrated with previous genomic and pathological analysis to characterize the dynamic nature of the influenza virus infection process.
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What is the evidence of a role for host genetics in susceptibility to influenza A/H5N1? Epidemiol Infect 2010; 138:1550-8. [PMID: 20236573 DOI: 10.1017/s0950268810000518] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
The apparent family clustering of avian influenza A/H5N1 has led several groups to postulate the existence of a host genetic influence on susceptibility to A/H5N1, yet the role of host factors on the risk of A/H5N1 disease has received remarkably little attention compared to the efforts focused on viral factors. We examined the epidemiological patterns of human A/H5N1 cases, their possible explanations, and the plausibility of a host genetic effect on susceptibility to A/H5N1 infection. The preponderance of familial clustering of cases and the relative lack of non-familial clusters, the occurrence of related cases separated by time and place, and the paucity of cases in some highly exposed groups such as poultry cullers, are consistent with a host genetic effect. Animal models support the biological plausibility of genetic susceptibility to A/H5N1. Although the evidence is circumstantial, host genetic factors are a parsimonious explanation for the unusual epidemiology of human A/H5N1 cases and warrant further investigation.
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