1
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Rosenke K, Griffin A, Kaiser F, Altynova E, Mukesh R, Bushmaker T, Flagg M, Tipih T, Goldin K, Wickenhagen A, Williamson BN, Gallogly S, Leventhal SS, Lutterman T, Okumura A, Lewis MC, Kanakabandi K, Martens C, Yinda KC, Rao D, Smith BJ, Shaia C, Saturday G, Hanley P, van Doremalen N, de Wit E, Munster VJ, Feldmann H. Pathogenesis of bovine H5N1 clade 2.3.4.4b infection in macaques. Nature 2025; 640:1017-1021. [PMID: 39814072 DOI: 10.1038/s41586-025-08609-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 01/07/2025] [Indexed: 01/18/2025]
Abstract
Since early 2022, highly pathogenic avian influenza (HPAI) H5N1 virus infections have been reported in wild aquatic birds and poultry throughout the USA with spillover into several mammalian species1-6. In March 2024, HPAIV H5N1 clade 2.3.4.4b was first detected in dairy cows in Texas, USA, and continues to circulate on dairy farms in many states7,8. Milk production and quality are diminished in infected dairy cows, with high virus titres in milk raising concerns of exposure to mammals including humans through consumption9-12. Here we investigated routes of infection with bovine HPAIV H5N1 clade 2.3.4.4b in cynomolgus macaques, a surrogate model for human infection13. We show that intranasal or intratracheal inoculation of macaques could cause systemic infection resulting in mild and severe respiratory disease, respectively. By contrast, infection by the orogastric route resulted in limited infection and seroconversion of macaques that remained subclinical.
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Affiliation(s)
- Kyle Rosenke
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Amanda Griffin
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Franziska Kaiser
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Ekaterina Altynova
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Reshma Mukesh
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Trenton Bushmaker
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Meaghan Flagg
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Thomas Tipih
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Kerry Goldin
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Arthur Wickenhagen
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Brandi N Williamson
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Shane Gallogly
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Shanna S Leventhal
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Tessa Lutterman
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Atsushi Okumura
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Matthew C Lewis
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Kishore Kanakabandi
- Research Technologies Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Craig Martens
- Research Technologies Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Kwe C Yinda
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Deepashri Rao
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Brian J Smith
- Rocky Mountain Veterinary Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Carl Shaia
- Rocky Mountain Veterinary Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Greg Saturday
- Rocky Mountain Veterinary Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Patrick Hanley
- Rocky Mountain Veterinary Branch, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Neeltje van Doremalen
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA
| | - Emmie de Wit
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA.
| | - Vincent J Munster
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA.
| | - Heinz Feldmann
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rocky Mountain Laboratories, Hamilton, MT, USA.
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2
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Asplin P, Mancy R, Finnie T, Cumming F, Keeling MJ, Hill EM. Symptom propagation in respiratory pathogens of public health concern: a review of the evidence. J R Soc Interface 2024; 21:20240009. [PMID: 39045688 PMCID: PMC11267474 DOI: 10.1098/rsif.2024.0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/28/2024] [Indexed: 07/25/2024] Open
Abstract
Symptom propagation occurs when the symptom set an individual experiences is correlated with the symptom set of the individual who infected them. Symptom propagation may dramatically affect epidemiological outcomes, potentially causing clusters of severe disease. Conversely, it could result in chains of mild infection, generating widespread immunity with minimal cost to public health. Despite accumulating evidence that symptom propagation occurs for many respiratory pathogens, the underlying mechanisms are not well understood. Here, we conducted a scoping literature review for 14 respiratory pathogens to ascertain the extent of evidence for symptom propagation by two mechanisms: dose-severity relationships and route-severity relationships. We identify considerable heterogeneity between pathogens in the relative importance of the two mechanisms, highlighting the importance of pathogen-specific investigations. For almost all pathogens, including influenza and SARS-CoV-2, we found support for at least one of the two mechanisms. For some pathogens, including influenza, we found convincing evidence that both mechanisms contribute to symptom propagation. Furthermore, infectious disease models traditionally do not include symptom propagation. We summarize the present state of modelling advancements to address the methodological gap. We then investigate a simplified disease outbreak scenario, finding that under strong symptom propagation, isolating mildly infected individuals can have negative epidemiological implications.
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Affiliation(s)
- Phoebe Asplin
- EPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK
- Mathematics Institute, University of Warwick, Coventry, UK
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK
| | - Rebecca Mancy
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Thomas Finnie
- Data, Analytics and Surveillance, UK Health Security Agency, London, UK
| | - Fergus Cumming
- Foreign, Commonwealth and Development Office, London, UK
| | - Matt J. Keeling
- Mathematics Institute, University of Warwick, Coventry, UK
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK
- School of Life Sciences, University of Glasgow, Glasgow, UK
| | - Edward M. Hill
- Mathematics Institute, University of Warwick, Coventry, UK
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK
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3
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Gadiyar I, Dobrovolny HM. Different routes of infection of H5N1 lead to changes in infecting time. Math Biosci 2024; 367:109129. [PMID: 38101614 DOI: 10.1016/j.mbs.2023.109129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 11/15/2023] [Accepted: 12/10/2023] [Indexed: 12/17/2023]
Abstract
Influenza virus infection can result in a wide range of clinical outcomes from asymptomatic infection to severe disease and death. While there are undoubtedly many factors that contribute to the severity of disease, one possible contributing factor that needs more investigation is the route of infection. In this study, we use previously published data from cynomolgus macaques infected with A/Vietnam/1203/04 (H5N1) via either aerosol (with and without bronchoalveolar lavages (BAL)) or a combined intrabronchial, oral, and intranasal route. We fit a mathematical model of within host viral kinetics to the data and find that when the macaques are infected via the aerosol route with subsequent BAL, the infecting time is significantly lower than for the other two groups. A lower infecting time indicates that the virus spreads from cell to cell more rapidly for aerosol infection with BAL than for the combined deposition or aerosol deposition alone. This study helps elucidate the mechanism behind different infection outcomes caused by differences in routes of infection.
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Affiliation(s)
- Ishaan Gadiyar
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA; Department of Biology, Vanderbilt University, Nashville, TN, USA
| | - Hana M Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA.
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4
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Kanekiyo M, Gillespie RA, Midgett M, O’Malley KJ, Williams C, Moin SM, Wallace M, Treaster L, Cooper K, Syeda H, Kettenburg G, Rannulu H, Schmer T, Ortiz L, Da Silva Castanha P, Corry J, Xia M, Olsen E, Perez D, Yun G, Graham BS, Barratt-Boyes SM, Reed DS. Refined semi-lethal aerosol H5N1 influenza model in cynomolgus macaques for evaluation of medical countermeasures. iScience 2023; 26:107830. [PMID: 37766976 PMCID: PMC10520834 DOI: 10.1016/j.isci.2023.107830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/04/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
Highly pathogenic avian influenza A H5N1 viruses cause high mortality in humans and have pandemic potential. Effective vaccines and treatments against this threat are urgently needed. Here, we have refined our previously established model of lethal H5N1 infection in cynomolgus macaques. An inhaled aerosol virus dose of 5.1 log10 plaque-forming unit (pfu) induced a strong febrile response and acute respiratory disease, with four out of six macaques succumbing after challenge. Vaccination with three doses of adjuvanted seasonal quadrivalent influenza vaccine elicited low but detectable neutralizing antibody to H5N1. All six vaccinated macaques survived four times the 50% lethal dose of aerosolized H5N1, while four of six unvaccinated controls succumbed to disease. Although vaccination did not protect against severe influenza, vaccinees had reduced respiratory dysfunction and lower viral load in airways compared to controls. We anticipate that our macaque model will play a vital role in evaluating vaccines and antivirals against influenza pandemics.
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Affiliation(s)
- Masaru Kanekiyo
- Molecular Engineering Section, Vaccine Research Center, National Institutes of Health, Bethesda, MD, USA
| | - Rebecca A. Gillespie
- Molecular Engineering Section, Vaccine Research Center, National Institutes of Health, Bethesda, MD, USA
| | - Morgan Midgett
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Connor Williams
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Syed M. Moin
- Molecular Engineering Section, Vaccine Research Center, National Institutes of Health, Bethesda, MD, USA
| | - Megan Wallace
- Department of Infectious Disease and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Luke Treaster
- Division of Cardiothoracic Imaging, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kristine Cooper
- Biostatistics Facility, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Hubza Syeda
- Molecular Engineering Section, Vaccine Research Center, National Institutes of Health, Bethesda, MD, USA
| | - Gwenddolen Kettenburg
- Department of Infectious Disease and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Hasala Rannulu
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tabitha Schmer
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lucia Ortiz
- Department of Population Health, University of Georgia, Athens, GA, USA
| | | | - Jacqueline Corry
- Department of Infectious Disease and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mengying Xia
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emily Olsen
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel Perez
- Department of Population Health, University of Georgia, Athens, GA, USA
| | - Gabin Yun
- Division of Cardiothoracic Imaging, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Barney S. Graham
- Molecular Engineering Section, Vaccine Research Center, National Institutes of Health, Bethesda, MD, USA
| | - Simon M. Barratt-Boyes
- Department of Infectious Disease and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Douglas S. Reed
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, PA, USA
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5
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Noor F, Saleem MH, Javed MR, Chen JT, Ashfaq UA, Okla MK, Abdel-Maksoud MA, Alwasel YA, Al-Qahtani WH, Alshaya H, Yasin G, Aslam S. Comprehensive computational analysis reveals H5N1 influenza virus-encoded miRNAs and host-specific targets associated with antiviral immune responses and protein binding. PLoS One 2022; 17:e0263901. [PMID: 35533150 PMCID: PMC9084522 DOI: 10.1371/journal.pone.0263901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 01/30/2022] [Indexed: 02/06/2023] Open
Abstract
H5N1 virus (H5N1V) is highly contagious among birds and it was first detected in humans in 1997 during a poultry outbreak in Hong Kong. As the mechanism of its pathogenesis inside the host is still lacking, in this in-silico study we hypothesized that H5N1V might create miRNAs, which could target the genes associated with host cellular regulatory pathways, thus provide persistent refuge to the virus. Using bioinformatics approaches, several H5N1V produced putative miRNAs as well as the host genes targeted by these miRNAs were found. Functional enrichment analysis of targeted genes revealed their involvement in many biological pathways that facilitate their host pathogenesis. Eventually, the microarray dataset (GSE28166) was analyzed to validate the altered expression level of target genes and found the genes involved in protein binding and adaptive immune responses. This study presents novel miRNAs and their targeted genes, which upon experimental validation could facilitate in developing new therapeutics against H5N1V infection.
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Affiliation(s)
- Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | | | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung, Taiwan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | - Mohammad K. Okla
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Mostafa A. Abdel-Maksoud
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Yasmeen A. Alwasel
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Wahidah H. Al-Qahtani
- Department of food sciences & nutrition, College of food & Agriculture sciences, King Saud University, Riyadh, Saudi Arabia
| | - Huda Alshaya
- Cell and Molecular Biology, University of Arkansas, Fayetteville, AR, United States of America
| | - Ghulam Yasin
- Department of Botany, Bahauddin Zakariya University, Multan, Pakistan
| | - Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
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6
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Schilp CM, Meijer L, Stocker M, Langermans JAM, Bakker J, Stammes MA. A Comparative Study of Chest CT With Lung Ultrasound After SARS-CoV-2 Infection in the Assessment of Pulmonary Lesions in Rhesus Monkeys ( Macaca Mulatta). Front Vet Sci 2021; 8:748635. [PMID: 34778433 PMCID: PMC8585853 DOI: 10.3389/fvets.2021.748635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/04/2021] [Indexed: 02/02/2023] Open
Abstract
Lung ultrasound (LUS) is a fast and non-invasive modality for the diagnosis of several diseases. In humans, LUS is nowadays of additional value for bedside screening of hospitalized SARS-CoV-2 infected patients. However, the diagnostic value of LUS in SARS-CoV-2 infected rhesus monkeys, with mild-to-moderate disease, is unknown. The aim of this observational study was to explore correlations of the LUS appearance of abnormalities with COVID-19-related lesions detected on computed tomography (CT). There were 28 adult female rhesus monkeys infected with SARS-CoV-2 included in this study. Chest CT and LUS were obtained pre-infection and 2-, 7-, and 14-days post infection. Twenty-five animals were sub-genomic PCR positive in their nose/throat swab for at least 1 day. CT images were scored based on the degree of involvement for lung lobe. LUS was scored based on the aeration and abnormalities for each part of the lungs, blinded to CT findings. Most common lesions observed on CT were ground glass opacities (GGOs) and crazy paving patterns. With LUS, confluent or multiple B-lines with or without pleural abnormalities were observed which is corresponding with GGOs on CT. The agreement between the two modalities was similar over the examination days. Pleural line abnormalities were clearly observed with LUS, but could be easily missed on CT. Nevertheless, due to the air interface LUS was not able to examine the complete volume of the lung. The sensitivity of LUS was high though the diagnostic efficacy for mild-to-moderate disease, as seen in macaques, was relatively low. This leaves CT the imaging modality of choice for diagnosis, monitoring, and longitudinal assessment of a SARS-CoV-2 infection in macaques.
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Affiliation(s)
| | - Lisette Meijer
- Biomedical Primate Research Centre (BPRC), Rijswijk, Netherlands
| | - Martina Stocker
- Biomedical Primate Research Centre (BPRC), Rijswijk, Netherlands
| | - Jan A. M. Langermans
- Biomedical Primate Research Centre (BPRC), Rijswijk, Netherlands
- Department of Population Health Sciences, Unit Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Jaco Bakker
- Biomedical Primate Research Centre (BPRC), Rijswijk, Netherlands
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7
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Nguyen TQ, Rollon R, Choi YK. Animal Models for Influenza Research: Strengths and Weaknesses. Viruses 2021; 13:1011. [PMID: 34071367 PMCID: PMC8228315 DOI: 10.3390/v13061011] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 12/16/2022] Open
Abstract
Influenza remains one of the most significant public health threats due to its ability to cause high morbidity and mortality worldwide. Although understanding of influenza viruses has greatly increased in recent years, shortcomings remain. Additionally, the continuous mutation of influenza viruses through genetic reassortment and selection of variants that escape host immune responses can render current influenza vaccines ineffective at controlling seasonal epidemics and potential pandemics. Thus, there is a knowledge gap in the understanding of influenza viruses and a corresponding need to develop novel universal vaccines and therapeutic treatments. Investigation of viral pathogenesis, transmission mechanisms, and efficacy of influenza vaccine candidates requires animal models that can recapitulate the disease. Furthermore, the choice of animal model for each research question is crucial in order for researchers to acquire a better knowledge of influenza viruses. Herein, we reviewed the advantages and limitations of each animal model-including mice, ferrets, guinea pigs, swine, felines, canines, and non-human primates-for elucidating influenza viral pathogenesis and transmission and for evaluating therapeutic agents and vaccine efficacy.
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Affiliation(s)
- Thi-Quyen Nguyen
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju 28644, Korea; (T.-Q.N.); (R.R.)
| | - Rare Rollon
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju 28644, Korea; (T.-Q.N.); (R.R.)
| | - Young-Ki Choi
- College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju 28644, Korea; (T.-Q.N.); (R.R.)
- Zoonotic Infectious Diseases Research Center, Chungbuk National University, Cheongju 28644, Korea
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