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Fu X, Long J, Xiong Y, Li Z, Yang J, Tian D, Li Z, Yang S, Qi L. Epidemic patterns of the different influenza virus types and subtypes/lineages for 10 years in Chongqing, China, 2010-2019. Hum Vaccin Immunother 2024; 20:2363076. [PMID: 38847280 PMCID: PMC11164227 DOI: 10.1080/21645515.2024.2363076] [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: 02/25/2024] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
To optimize seasonal influenza control and prevention programs in regions with potentially complicated seasonal patterns. Descriptive epidemiology was used to analyze the etiology of influenza, and chi-square tests were used to compare the epidemic patterns among different influenza virus types and subtypes/lineages. From January 2010 to December 2019, a total of 63,626 ILI cases were reported in Chongqing and 14,136 (22.22%) were laboratory-confirmed influenza cases. The proportions of specimens positive for influenza A and influenza B were 13.32% (8,478/63,626) and 8.86% (5,639/63,626), respectively. The proportion of positive specimens for influenza A reached the highest in winter (23.33%), while the proportion of positive specimens for influenza B reached the highest in spring (11.88%). Children aged 5-14 years old had the highest proportion of positive specimens for influenza. The influenza virus types/subtypes positive was significantly different by seasons and age groups (P<.001), but not by gender (p = .436). The vaccine strains were matched to the circulating influenza virus strains in all other years except for 2018 (vaccine strain was B/Colorado/06/2017; circulating strain was B/Yamagata). The study showed significant variations in epidemic patterns, including seasonal epidemic period and age distributions, among different influenza types, subtypes/lineages in Chongqing. Influenza vaccines matched to the circulating influenza virus strain in nine of the ten years. To prevent and mitigate the influenza outbreaks in this area, high risk population, especially children aged 5-14 years, are encouraged to get vaccinated against influenza before the epidemic seasons.
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Affiliation(s)
- Xiaoqing Fu
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Jiang Long
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing, China
| | - Yu Xiong
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing, China
| | - Zhifeng Li
- Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing, China
- Microbiological examination, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Jule Yang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing, China
| | - Dechao Tian
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhourong Li
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Shuang Yang
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Li Qi
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
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Fu W, Xie Z, Bai M, Zhang Z, Zhao Y, Tian J. Proteomics analysis of methionine enkephalin upregulated macrophages against infection by the influenza-A virus. Proteome Sci 2023; 21:4. [PMID: 37041527 PMCID: PMC10088144 DOI: 10.1186/s12953-023-00205-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/03/2023] [Indexed: 04/13/2023] Open
Abstract
Macrophages have a vital role in phagocytosis and antiviral effect against invading influenza viruses. Previously, we found that methionine enkephalin (MENK) inhibited influenza virus infection by upregulating the "antiviral state" of macrophages. To investigate the immunoregulatory mechanism of action of MENK on macrophages, we employed proteomic analysis to identify differentially expressed proteins (DEPs) between macrophages infected with the influenza-A virus and cells infected with the influenza-A virus after pretreatment with MENK. A total of 215 DEPs were identified: 164 proteins had upregulated expression and 51 proteins had downregulated expression. Proteomics analysis showed that DEPs were highly enriched in "cytokine-cytokine receptor interaction", "phagosome", and "complement and coagulation cascades pathway". Proteomics analysis revealed that MENK could be an immune modulator or prophylactic for the prevention and treatment of influenza. MENK promoted the polarization of M1 macrophages, activated inflammatory responses, and enhanced phagocytosis and killing function by upregulating opsonizing receptors.
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Affiliation(s)
- Wenrui Fu
- Graduate College, Jinzhou Medical University, Jinzhou, 121000, China
| | - Zifeng Xie
- First Clinical Medical College, Jinzhou Medical University, Jinzhou, 121000, China
| | - Mei Bai
- Department of Microbiology, Jinzhou Center for Disease Control and Prevention, Jinzhou, 121000, China
| | - Zhen Zhang
- Department of Microbiology, Jinzhou Center for Disease Control and Prevention, Jinzhou, 121000, China
| | - Yuanlong Zhao
- First Clinical Medical College, Jinzhou Medical University, Jinzhou, 121000, China
| | - Jing Tian
- Department of Immunology, School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, 121000, China.
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Kumari R, Sharma SD, Kumar A, Ende Z, Mishina M, Wang Y, Falls Z, Samudrala R, Pohl J, Knight PR, Sambhara S. Antiviral Approaches against Influenza Virus. Clin Microbiol Rev 2023; 36:e0004022. [PMID: 36645300 PMCID: PMC10035319 DOI: 10.1128/cmr.00040-22] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.
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Affiliation(s)
- Rashmi Kumari
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Department of Anesthesiology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York, USA
| | - Suresh D. Sharma
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Amrita Kumar
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Zachary Ende
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Oak Ridge Institute for Science and Education (ORISE), CDC Fellowship Program, Oak Ridge, Tennessee, USA
| | - Margarita Mishina
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuanyuan Wang
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Association of Public Health Laboratories, Silver Spring, Maryland, USA
| | - Zackary Falls
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Ram Samudrala
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Jan Pohl
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Paul R. Knight
- Department of Anesthesiology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York, USA
| | - Suryaprakash Sambhara
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Characterization of influenza B viruses with reduced susceptibility to influenza neuraminidase inhibitors. Antiviral Res 2022; 200:105280. [PMID: 35304163 DOI: 10.1016/j.antiviral.2022.105280] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/11/2022] [Accepted: 03/07/2022] [Indexed: 01/22/2023]
Abstract
A total of 3425 influenza B viruses collected from the Asia-Pacific region were tested against the four registered neuraminidase inhibitors (NAIs) (oseltamivir carboxylate, zanamivir, peramivir and laninamivir) as part of the routine surveillance work at the WHO Collaborating Centre for Research and Reference on Influenza, Melbourne between 2016 and 2020. Forty-five influenza B viruses with reduced susceptibility to one or more NAIs were identified. While the majority of these had neuraminidase (NA) mutations that were known to confer NAIs resistance, fifteen had NA mutations that had not been confirmed as being responsible for reduced NAIs susceptibility. Eleven of these NA mutations of concern were investigated using reverse genetics (RG) techniques to verify that these mutations were the cause of the reduced NAI susceptibility. All mutations were introduced separately into the NA of B/Brisbane/27/2016 (a B Victoria-lineage virus) or B/Yamanashi/166/98 (a B Yamagata-lineage virus) and the effects of these were analysed by an in vitro NAI assay. The T146K substitution in the NA of B Victoria and Yamagata-lineages resulted in a large increase in the IC50 for peramivir (>1000-fold increase in the mean IC50 of sensitive viruses with T146) with smaller increases for zanamivir and oseltamivir. A proline substitution (T146P) had a slightly lower (>700-fold) effect on the peramivir IC50 and also on the other NAIs. The presence of a second NA mutation at N169S combined with the T146P further increased the IC50 of peramivir (>7000-fold) and the other NAIs. A synergistic effect was also confirmed for dual NA mutations with G247D + I361V which showed a modest increase in the IC50 for oseltamivir (6-fold). Only one of two RG-viruses with the mutation G108E could be rescued and it had a high IC50 against zanamivir (>4000-fold) and laninamivir (>7000-fold), but a lower IC50 against oseltamivir (>200-fold). NA mutations H101L, A200T, D432G, H439P and H439R were also confirmed to somewhat reduce the in vitro susceptibility of influenza B viruses to the NAIs. Overall, this study identifies the potential impact of selected mutations on the clinical performance of NAIs when used to treat influenza B infection in humans.
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Vieira MC, Donato CM, Arevalo P, Rimmelzwaan GF, Wood T, Lopez L, Huang QS, Dhanasekaran V, Koelle K, Cobey S. Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases. Nat Commun 2021; 12:4313. [PMID: 34262041 PMCID: PMC8280188 DOI: 10.1038/s41467-021-24566-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 06/22/2021] [Indexed: 02/06/2023] Open
Abstract
How a history of influenza virus infections contributes to protection is not fully understood, but such protection might explain the contrasting age distributions of cases of the two lineages of influenza B, B/Victoria and B/Yamagata. Fitting a statistical model to those distributions using surveillance data from New Zealand, we found they could be explained by historical changes in lineage frequencies combined with cross-protection between strains of the same lineage. We found additional protection against B/Yamagata in people for whom it was their first influenza B infection, similar to the immune imprinting observed in influenza A. While the data were not informative about B/Victoria imprinting, B/Yamagata imprinting could explain the fewer B/Yamagata than B/Victoria cases in cohorts born in the 1990s and the bimodal age distribution of B/Yamagata cases. Longitudinal studies can test if these forms of protection inferred from historical data extend to more recent strains and other populations.
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Affiliation(s)
- Marcos C Vieira
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
| | - Celeste M Donato
- Enteric Diseases Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Philip Arevalo
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Guus F Rimmelzwaan
- Research Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Timothy Wood
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Liza Lopez
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Q Sue Huang
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Vijaykrishna Dhanasekaran
- Department of Microbiology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, Australia
| | - Katia Koelle
- Department of Biology, Emory University, Atlanta, GA, USA
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
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