1
|
Trovão NS, Khan SM, Lemey P, Nelson MI, Cherry JL. Comparative evolution of influenza A virus H1 and H3 head and stalk domains across host species. mBio 2024; 15:e0264923. [PMID: 38078770 PMCID: PMC10886446 DOI: 10.1128/mbio.02649-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 01/17/2024] Open
Abstract
IMPORTANCE For decades, researchers have studied the rapid evolution of influenza A viruses for vaccine design and as a useful model system for the study of host/parasite evolution. By performing an exhaustive analysis of hemagglutinin protein (HA) sequences from 49 lineages independently evolving in birds, swine, canines, equines, and humans over the last century, our work uncovers surprising features of HA evolution. In particular, the canine H3 stalk, unlike human H3 and H1 stalk domains, is not evolving slowly, suggesting that evolution in the stalk domain is not universally constrained across all host species. Therefore, a broader multi-host perspective on HA evolution may be useful during the evaluation and design of stalk-targeted vaccine candidates.
Collapse
Affiliation(s)
- Nidia S Trovão
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Sairah M Khan
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Martha I Nelson
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Joshua L Cherry
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
2
|
Zhang Z, Nishimura A, Trovão NS, Cherry JL, Holbrook AJ, Ji X, Lemey P, Suchard MA. Accelerating Bayesian inference of dependency between mixed-type biological traits. PLoS Comput Biol 2023; 19:e1011419. [PMID: 37639445 PMCID: PMC10491301 DOI: 10.1371/journal.pcbi.1011419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/08/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023] Open
Abstract
Inferring dependencies between mixed-type biological traits while accounting for evolutionary relationships between specimens is of great scientific interest yet remains infeasible when trait and specimen counts grow large. The state-of-the-art approach uses a phylogenetic multivariate probit model to accommodate binary and continuous traits via a latent variable framework, and utilizes an efficient bouncy particle sampler (BPS) to tackle the computational bottleneck-integrating many latent variables from a high-dimensional truncated normal distribution. This approach breaks down as the number of specimens grows and fails to reliably characterize conditional dependencies between traits. Here, we propose an inference pipeline for phylogenetic probit models that greatly outperforms BPS. The novelty lies in 1) a combination of the recent Zigzag Hamiltonian Monte Carlo (Zigzag-HMC) with linear-time gradient evaluations and 2) a joint sampling scheme for highly correlated latent variables and correlation matrix elements. In an application exploring HIV-1 evolution from 535 viruses, the inference requires joint sampling from an 11,235-dimensional truncated normal and a 24-dimensional covariance matrix. Our method yields a 5-fold speedup compared to BPS and makes it possible to learn partial correlations between candidate viral mutations and virulence. Computational speedup now enables us to tackle even larger problems: we study the evolution of influenza H1N1 glycosylations on around 900 viruses. For broader applicability, we extend the phylogenetic probit model to incorporate categorical traits, and demonstrate its use to study Aquilegia flower and pollinator co-evolution.
Collapse
Affiliation(s)
- Zhenyu Zhang
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
| | - Akihiko Nishimura
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Nídia S. Trovão
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Joshua L. Cherry
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Andrew J. Holbrook
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
| | - Xiang Ji
- Department of Mathematics, Tulane University, New Orleans, Louisiana, United States of America
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Marc A. Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
- Department of Biomathematics, University of California Los Angeles, Los Angeles, California, United States of America
- Department of Human Genetics, University of California Los Angeles, Los Angeles, California, United States of America
| |
Collapse
|
3
|
Baumberger C, Di Pillo F, Galdames P, Oyarzun C, Marambio V, Jimenez-Bluhm P, Hamilton-West C. Swine Backyard Production Systems in Central Chile: Characterizing Farm Structure, Animal Management, and Production Value Chain. Animals (Basel) 2023; 13:2000. [PMID: 37370510 DOI: 10.3390/ani13122000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Backyard production systems (BPS) are highly distributed in central Chile. While poultry BPS have been extensively characterized, there remains a notable gap in the characterization of swine BPS in central Chile. In addition, there is evidence that zoonotic pathogens, such as influenza A virus and Salmonella spp., are circulating in backyard poultry and pigs. A total of 358 BPS located in central Chile were evaluated between 2013 and 2015 by interviewing farm owners. Severe deficiencies in biosecurity measures were observed. The value chain of swine backyard production identified food, veterinary care (visits and products), and replacement or breeding animals as the primary inputs to the backyard. The most common origin of swine replacements was from outside the BPS (63%). The main outputs of the system were identified as meat and live animals, including piglets and breeding animals. In 16% of BPS, breeding animals were lent to other BPS, indicating the existence of animals and animal product movement in and out of backyard farms. Results from this study indicate that swine BPS in central Chile represents an animal-human interface that demands special attention for implementing targeted preventive measures to prevent the introduction and spread of animal pathogens and the emergence of zoonotic pathogens.
Collapse
Affiliation(s)
- Cecilia Baumberger
- Departamento de Medicina Preventiva, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Campus Sur Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
| | - Francisca Di Pillo
- Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Sede Providencia, Manuel Montt 948, Santiago 7500972, Chile
| | - Pablo Galdames
- Departamento de Medicina Preventiva, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
| | - Cristobal Oyarzun
- Departamento de Medicina Preventiva, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
| | - Victor Marambio
- Departamento de Medicina Preventiva, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Campus Sur Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
| | - Pedro Jimenez-Bluhm
- Escuela de Medicina Veterinaria, Facultad de Ciencias Biológicas, Facultad de Medicina y Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago 7820436, Chile
| | - Christopher Hamilton-West
- Departamento de Medicina Preventiva, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11315, Santiago 8820808, Chile
| |
Collapse
|
4
|
Zhu Y, Wang R, Zou J, Tian S, Yu L, Zhou Y, Ran Y, Jin M, Chen H, Zhou H. N6-methyladenosine reader protein YTHDC1 regulates influenza A virus NS segment splicing and replication. PLoS Pathog 2023; 19:e1011305. [PMID: 37053288 PMCID: PMC10146569 DOI: 10.1371/journal.ppat.1011305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/28/2023] [Accepted: 03/20/2023] [Indexed: 04/15/2023] Open
Abstract
N6-methyladenosine (m6A) modification on viral RNAs has a profound impact on infectivity. m6A is also a highly pervasive modification for influenza viral RNAs. However, its role in virus mRNA splicing is largely unknown. Here, we identify the m6A reader protein YTHDC1 as a host factor that associates with influenza A virus NS1 protein and modulates viral mRNA splicing. YTHDC1 levels are enhanced by IAV infection. We demonstrate that YTHDC1 inhibits NS splicing by binding to an NS 3' splicing site and promotes IAV replication and pathogenicity in vitro and in vivo. Our results provide a mechanistic understanding of IAV-host interactions, a potential therapeutic target for blocking influenza virus infection, and a new avenue for the development of attenuated vaccines.
Collapse
Affiliation(s)
- Yinxing Zhu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Ruifang Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Jiahui Zou
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Shan Tian
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Luyao Yu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Yuanbao Zhou
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Ying Ran
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Meilin Jin
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Hongbo Zhou
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| |
Collapse
|
5
|
Kimble JB, Souza CK, Anderson TK, Arendsee ZW, Hufnagel DE, Young KM, Lewis NS, Davis CT, Thor S, Vincent Baker AL. Interspecies Transmission from Pigs to Ferrets of Antigenically Distinct Swine H1 Influenza A Viruses with Reduced Reactivity to Candidate Vaccine Virus Antisera as Measures of Relative Zoonotic Risk. Viruses 2022; 14. [PMID: 36366493 DOI: 10.3390/v14112398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 01/31/2023] Open
Abstract
During the last decade, endemic swine H1 influenza A viruses (IAV) from six different genetic clades of the hemagglutinin gene caused zoonotic infections in humans. The majority of zoonotic events with swine IAV were restricted to a single case with no subsequent transmission. However, repeated introduction of human-seasonal H1N1, continual reassortment between endemic swine IAV, and subsequent drift in the swine host resulted in highly diverse swine IAV with human-origin genes that may become a risk to the human population. To prepare for the potential of a future swine-origin IAV pandemic in humans, public health laboratories selected candidate vaccine viruses (CVV) for use as vaccine seed strains. To assess the pandemic risk of contemporary US swine H1N1 or H1N2 strains, we quantified the genetic diversity of swine H1 HA genes, and identified representative strains from each circulating clade. We then characterized the representative swine IAV against human seasonal vaccine and CVV strains using ferret antisera in hemagglutination inhibition assays (HI). HI assays revealed that 1A.3.3.2 (pdm09) and 1B.2.1 (delta-2) demonstrated strong cross reactivity to human seasonal vaccines or CVVs. However, swine IAV from three clades that represent more than 50% of the detected swine IAVs in the USA showed significant reduction in cross-reactivity compared to the closest CVV virus: 1A.1.1.3 (alpha-deletion), 1A.3.3.3-clade 3 (gamma), and 1B.2.2.1 (delta-1a). Representative viruses from these three clades were further characterized in a pig-to-ferret transmission model and shown to exhibit variable transmission efficiency. Our data prioritize specific genotypes of swine H1N1 and H1N2 to further investigate in the risk they pose to the human population.
Collapse
|
6
|
Kessler S, Harder TC, Schwemmle M, Ciminski K. Influenza A Viruses and Zoonotic Events-Are We Creating Our Own Reservoirs? Viruses 2021; 13:v13112250. [PMID: 34835056 PMCID: PMC8624301 DOI: 10.3390/v13112250] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 11/04/2021] [Accepted: 11/06/2021] [Indexed: 01/16/2023] Open
Abstract
Zoonotic infections of humans with influenza A viruses (IAVs) from animal reservoirs can result in severe disease in individuals and, in rare cases, lead to pandemic outbreaks; this is exemplified by numerous cases of human infection with avian IAVs (AIVs) and the 2009 swine influenza pandemic. In fact, zoonotic transmissions are strongly facilitated by manmade reservoirs that were created through the intensification and industrialization of livestock farming. This can be witnessed by the repeated introduction of IAVs from natural reservoirs of aquatic wild bird metapopulations into swine and poultry, and the accompanied emergence of partially- or fully-adapted human pathogenic viruses. On the other side, human adapted IAV have been (and still are) introduced into livestock by reverse zoonotic transmission. This link to manmade reservoirs was also observed before the 20th century, when horses seemed to have been an important reservoir for IAVs but lost relevance when the populations declined due to increasing industrialization. Therefore, to reduce zoonotic events, it is important to control the spread of IAV within these animal reservoirs, for example with efficient vaccination strategies, but also to critically surveil the different manmade reservoirs to evaluate the emergence of new IAV strains with pandemic potential.
Collapse
Affiliation(s)
- Susanne Kessler
- Medical Center, Institute of Virology, University of Freiburg, 79104 Freiburg, Germany; (S.K.); (M.S.)
- Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
| | - Timm C. Harder
- Friedrich-Loeffler-Institut (FLI), Institute of Diagnostic Virology, 17493 Greifswald-Insel Riems, Germany;
| | - Martin Schwemmle
- Medical Center, Institute of Virology, University of Freiburg, 79104 Freiburg, Germany; (S.K.); (M.S.)
- Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
| | - Kevin Ciminski
- Medical Center, Institute of Virology, University of Freiburg, 79104 Freiburg, Germany; (S.K.); (M.S.)
- Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
- Correspondence:
| |
Collapse
|
7
|
Abstract
Over the last few decades, hundreds of human pathogens have emerged at a rate unprecedented in human history. Emerged from where? Mostly from animals. The AIDS virus is blamed on the butchering of primates in the African bushmeat trade, we created mad cow disease when we turned cows into carnivores and cannibals, and SARS and COVID-19 have been traced back to the exotic wild animal trade. Our last pandemic, swine flu in 2009, arose not from some backwater wet market in Asia, however. It was largely made-in-the-USA on pig production operations in the United States. In this new Age of Emerging Diseases, there are now billions of animals overcrowded and intensively confined in filthy factory farms for viruses to incubate and mutate within. Today's industrial farming practices have given viruses billions more spins at pandemic roulette. How can we stop the emergence of pandemic viruses in the first place? Whenever possible, treat the cause. The largest and oldest association of public health professionals in the world, the American Public Health Association, has called for a moratorium on factory farming for nearly two decades. Indeed, factory farms are a public health menace. In addition to discontinuing the intensive confinement practices of animal agriculture, we should continue to research, develop, and invest in innovative plant-based and cultivated meat technologies to move away from raising billions of feathered and curly-tailed test tubes for viruses with pandemic potential to mutate within.
Collapse
|
8
|
McBride DS, Perofsky AC, Nolting JM, Nelson MI, Bowman AS. Tracing the Source of Influenza A Virus Zoonoses in Interconnected Circuits of Swine Exhibitions. J Infect Dis 2021; 224:458-468. [PMID: 33686399 PMCID: PMC7989509 DOI: 10.1093/infdis/jiab122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/01/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Since 2011, influenza A viruses circulating in US swine exhibited at county fairs are associated with >460 zoonotic infections, presenting an ongoing pandemic risk. Swine "jackpot shows" that occur before county fairs each summer intermix large numbers of exhibition swine from diverse geographic locations. We investigated the role of jackpot shows in influenza zoonoses. METHODS We collected snout wipe or nasal swab samples from 17 009 pigs attending 350 national, state, and local swine exhibitions across 8 states during 2016-2018. RESULTS Influenza was detected in 13.9% of swine sampled at jackpot shows, and 76.3% of jackpot shows had at least 1 pig test positive. Jackpot shows had 4.3-fold higher odds of detecting at least 1 influenza-positive pig compared to county fairs. When influenza was detected at a county fair, almost half of pigs tested positive, clarifying why zoonotic infections occur primarily at county fairs. CONCLUSIONS The earlier timing of jackpot shows and long-distance travel for repeated showing of individual pigs provide a pathway for the introduction of influenza into county fairs. Mitigation strategies aimed at curtailing influenza at jackpot shows are likely to have downstream effects on disease transmission at county fairs and zoonoses.
Collapse
Affiliation(s)
- Dillon S McBride
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Amanda C Perofsky
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Jacqueline M Nolting
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Martha I Nelson
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew S Bowman
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, Ohio, USA
| |
Collapse
|
9
|
|
10
|
Abstract
BACKGROUND Influenza A Viruses (IAV) are endemic pathogens of significant concern in humans and multiple keystone livestock species. Widespread morbidity in swine herds negatively impacts animal welfare standards and economic performance whilst human IAV pandemics have emerged from pigs on multiple occasions. To combat the rising prevalence of swine IAV there must be effective control strategies available. MAIN BODY The most basic form of IAV control on swine farms is through good animal husbandry practices and high animal welfare standards. To control inter-herd transmission, biosecurity considerations such as quarantining of pigs and implementing robust health and safety systems for workers help to reduce the likelihood of swine IAV becoming endemic. Closely complementing the physical on-farm practices are IAV surveillance programs. Epidemiological data is critical in understanding regional distribution and variation to assist in determining an appropriate response to outbreaks and understanding the nature of historical swine IAV epidemics and zoonoses. Medical intervention in pigs is restricted to vaccination, a measure fraught with the intrinsic difficulties of mounting an immune response against a highly mutable virus. It is the best available tool for controlling IAV in swine but is far from being a perfect solution due to its unreliable efficacy and association with an enhanced respiratory disease. Because IAV generally has low mortality rates there is a reticence in the uptake of vaccination. Novel genetic technologies could be a complementary strategy for IAV control in pigs that confers broad-acting resistance. Transgenic pigs with IAV resistance are useful as models, however the complexity of these reaching the consumer market limits them to research models. More promising are gene-editing approaches to prevent viral exploitation of host proteins and modern vaccine technologies that surpass those currently available. CONCLUSION Using the suite of IAV control measures that are available for pigs effectively we can improve the economic productivity of pig farming whilst improving on-farm animal welfare standards and avoid facing the extensive social and financial costs of a pandemic. Fighting 'Flu in pigs will help mitigate the very real threat of a human pandemic emerging, increase security of the global food system and lead to healthier pigs.
Collapse
Affiliation(s)
- Hamish A. Salvesen
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, UK
| | - C. Bruce A. Whitelaw
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, UK
| |
Collapse
|
11
|
Millet S, De Smet S, Knol EF, Bee G, Trevisi P, Vigors S, Nilsson K, Van Meensel J. How two concurrent pandemics put a spoke in the wheel of intensive pig production. Anim Front 2021; 11:14-18. [PMID: 33575094 PMCID: PMC7863338 DOI: 10.1093/af/vfaa051] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Sam Millet
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
- Department of Nutrition, Genetics and Ethology, Ghent University, Merelbeke, Belgium
- Study Commission on Pigs, EAAP, Roma, Italy
| | - Sarah De Smet
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | - Egbert F Knol
- Study Commission on Pigs, EAAP, Roma, Italy
- Topigs Norsvin Research Center, AA Beuningen, The Netherlands
| | - Giuseppe Bee
- Study Commission on Pigs, EAAP, Roma, Italy
- Agroscope, Posieux, Switzerland
| | - Paolo Trevisi
- Study Commission on Pigs, EAAP, Roma, Italy
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, Bologna, Italy
| | - Stafford Vigors
- Study Commission on Pigs, EAAP, Roma, Italy
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland
| | - Katja Nilsson
- Study Commission on Pigs, EAAP, Roma, Italy
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jef Van Meensel
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| |
Collapse
|
12
|
Ciminski K, Chase GP, Beer M, Schwemmle M. Influenza A Viruses: Understanding Human Host Determinants. Trends Mol Med 2020; 27:104-112. [PMID: 33097424 DOI: 10.1016/j.molmed.2020.09.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/29/2020] [Accepted: 09/29/2020] [Indexed: 01/13/2023]
Abstract
Previous influenza A virus (IAV) pandemics have invariably been caused by the introduction of an emergent IAV strain from an animal host into a human population with no or only little pre-existing immunity to the novel strain. Although zoonotic spillover of IAVs into humans can be associated with severe disease and a high fatality rate, these strains are typically poorly adapted to humans and are unable to establish sustained transmission between humans. Given the presumably very high degree of exposure to animal populations with endemic IAV, the number of pandemics remains surprisingly low. In this review, we provide an updated perspective on the molecular mechanisms underlying the adaptation of zoonotic IAV to human hosts, and discuss the implications for future pandemics.
Collapse
Affiliation(s)
- Kevin Ciminski
- Institute of Virology, Medical Center - University of Freiburg, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Geoffrey P Chase
- Institute of Virology, Medical Center - University of Freiburg, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald, Germany.
| | - Martin Schwemmle
- Institute of Virology, Medical Center - University of Freiburg, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| |
Collapse
|
13
|
Deutsch L. State of the Society. J Infus Nurs 2020; 43:181-2. [PMID: 32618947 DOI: 10.1097/NAN.0000000000000381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|