1
|
Fu Y, Wedde M, Smola S, Oh DY, Pfuhl T, Rissland J, Zemlin M, Flockerzi FA, Bohle RM, Thürmer A, Duwe S, Biere B, Reiche J, Schweiger B, Mache C, Wolff T, Herrler G, Dürrwald R. Different populations of A(H1N1)pdm09 viruses in a patient with hemolytic-uremic syndrome. Int J Med Microbiol 2024; 314:151598. [PMID: 38237287 DOI: 10.1016/j.ijmm.2024.151598] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 03/22/2024] Open
Abstract
Respiratory viral infections may have different impacts ranging from infection without symptoms to severe disease or even death though the reasons are not well characterized. A patient (age group 5-15 years) displaying symptoms of hemolytic uremic syndrome died one day after hospitalization. qPCR, next generation sequencing, virus isolation, antigenic characterization, resistance analysis was performed and virus replication kinetics in well-differentiated airway cells were determined. Autopsy revealed hemorrhagic pneumonia as major pathological manifestation. Lung samples harbored a large population of A(H1N1)pdm09 viruses with the polymorphism H456H/Y in PB1 polymerase. The H456H/Y viruses replicated much faster to high viral titers than upper respiratory tract viruses in vitro. H456H/Y-infected air-liquid interface cultures of differentiated airway epithelial cells did reflect a more pronounced loss of ciliated cells. A different pattern of virus quasispecies was found in the upper airway samples where substitution S263S/F (HA1) was observed. The data support the notion that viral quasispecies had evolved locally in the lung to support high replicative fitness. This change may have initiated further pathogenic processes leading to rapid dissemination of inflammatory mediators followed by development of hemorrhagic lung lesions and fatal outcome.
Collapse
Affiliation(s)
- Yuguang Fu
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China; Institute of Virology, University of Veterinary Medicine Hannover, Foundation, Hannover 30559, Germany
| | - Marianne Wedde
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Sigrun Smola
- Institute of Virology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Djin-Ye Oh
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Thorsten Pfuhl
- Institute of Virology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Jürgen Rissland
- Institute of Virology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Michael Zemlin
- Department for General Pediatrics and Neonatology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Fidelis A Flockerzi
- Institute of Pathology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Rainer M Bohle
- Institute of Pathology, Saarland University Medical Center, Homburg, Saar 66421, Germany
| | - Andrea Thürmer
- Department Methods Development and Research Infrastructure, Robert Koch Institute, Berlin 13353, Germany
| | - Susanne Duwe
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Barbara Biere
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Janine Reiche
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Brunhilde Schweiger
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Christin Mache
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Thorsten Wolff
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany
| | - Georg Herrler
- Institute of Virology, University of Veterinary Medicine Hannover, Foundation, Hannover 30559, Germany
| | - Ralf Dürrwald
- Influenza and other Respiratory Viruses, Department of Infectious Diseases, Unit 17, Influenza and other Respratory Viruses, Robert Koch Institute, Berlin 13353, Germany.
| |
Collapse
|
2
|
Pereira LA, Lapinscki BA, Santos JS, Debur MC, Petterle RR, Nogueira MB, Vidal LRR, De Almeida SM, Raboni SM. Influenza A infections: predictors of disease severity. Braz J Microbiol 2024; 55:75-86. [PMID: 38049661 PMCID: PMC10920610 DOI: 10.1007/s42770-023-01186-w] [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: 12/13/2022] [Accepted: 11/14/2023] [Indexed: 12/06/2023] Open
Abstract
Influenza affects approximately 10% of the world's population annually. It is associated with high morbidity and mortality rates due to its propensity to progress to severe acute respiratory infection, leading to 10-40% of hospitalized patients needing intensive care. Characterizing the multifactorial predictors of poor prognosis is essential for developing strategies against this disease. This study aimed to identify predictors of disease severity in influenza A-infected (IFA-infected) patients and to propose a prognostic score. A retrospective cross-sectional study was conducted with 142 IFA-infected out- and inpatients treated at a tertiary hospital between 2010 and 2018. The viral subtypes, hemagglutinin mutations, viral load, IL-28B SNPs, and clinical risk factors were evaluated according to the patient's ICU admission. Multivariate analysis identified the following risk factors for disease severity: neuromuscular diseases (OR = 7.02; 95% CI = 1.18-41.75; p = 0.032), cardiovascular diseases (OR = 5.47; 95% CI = 1.96-15.27; p = 0.001), subtype (H1N1) pdm09 infection (OR = 2.29; 95% CI = 1.02-5.15; p = 0.046), and viral load (OR = 1.43; 95% CI = 1.09-1.88; p = 0.009). The prognosis score for ICU admission is based on these predictors of severity presented and ROC curve AUC = 0.812 (p < 0.0001). Our results identified viral and host predictors of disease severity in IFA-infected patients, yielding a prognostic score that had a high performance in predicting the IFA patients' ICU admission and better results than a viral load value alone. However, its implementation in health services needs to be validated in a broader population.
Collapse
Affiliation(s)
- L A Pereira
- Graduate Program in Internal Medicine and Health Science, Federal University of Paraná, Curitiba, 82060-240, Brazil
| | - B A Lapinscki
- Graduate Program in Internal Medicine and Health Science, Federal University of Paraná, Curitiba, 82060-240, Brazil
| | - J S Santos
- Public Health Laboratory (LACEN-PR), Curitiba, Brazil
| | - M C Debur
- Public Health Laboratory (LACEN-PR), Curitiba, Brazil
| | - R R Petterle
- Medical School, Sector of Health Sciences, Federal University of Paraná, Curitiba, 82060-240, Brazil
| | - M B Nogueira
- Clinical Analysis Department, Federal University of Parana, Curitiba, 82060-240, Brazil
| | - L R R Vidal
- Virology Laboratory, Federal University of Paraná, Curitiba, 82060-240, Brazil
- Virology Laboratory, Complexo Hospital de Clínicas, Federal University of Paraná, Curitiba, 82060-240, Brazil
| | - S M De Almeida
- Department of Medical Pathology, Federal University of Paraná, Curitiba, 82060-240, Brazil
| | - S M Raboni
- Virology Laboratory, Complexo Hospital de Clínicas, Federal University of Paraná, Curitiba, 82060-240, Brazil.
- Division of Infectious Diseases, Federal University of Paraná, Curitiba, 82060-240, Brazil.
| |
Collapse
|
3
|
Kolosova NP, Boldyrev ND, Svyatchenko SV, Danilenko AV, Goncharova NI, Shadrinova KN, Danilenko EI, Onkhonova GS, Kosenko MN, Antonets ME, Susloparov IM, Ilyicheva TN, Marchenko VY, Ryzhikov AB. An Investigation of Severe Influenza Cases in Russia during the 2022-2023 Epidemic Season and an Analysis of HA-D222G/N Polymorphism in Newly Emerged and Dominant Clade 6B.1A.5a.2a A(H1N1)pdm09 Viruses. Pathogens 2023; 13:1. [PMID: 38276147 PMCID: PMC10819184 DOI: 10.3390/pathogens13010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/15/2023] [Accepted: 12/16/2023] [Indexed: 01/27/2024] Open
Abstract
In Russia, during the COVID-19 pandemic, a decrease in influenza circulation was initially observed. Influenza circulation re-emerged with the dominance of new clades of A(H3N2) viruses in 2021-2022 and A(H1N1)pdm09 viruses in 2022-2023. In this study, we aimed to characterize influenza viruses during the 2022-2023 season in Russia, as well as investigate A(H1N1)pdm09 HA-D222G/N polymorphism associated with increased disease severity. PCR testing of 780 clinical specimens showed 72.2% of them to be positive for A(H1N1)pdm09, 2.8% for A(H3N2), and 25% for influenza B viruses. The majority of A(H1N1)pdm09 viruses analyzed belonged to the newly emerged 6B.1A.5a.2a clade. The intra-sample predominance of HA-D222G/N virus variants was observed in 29% of the specimens from A(H1N1)pdm09 fatal cases. The D222N polymorphic variant was registered more frequently than D222G. All the B/Victoria viruses analyzed belonged to the V1A.3a.2 clade. Several identified A(H3N2) viruses belonged to one of the four subclades (2a.1b, 2a.3a.1, 2a.3b, 2b) within the 3C.2a1b.2a.2 group. The majority of antigenically characterized viruses bore similarities to the corresponding 2022-2023 NH vaccine strains. Only one influenza A(H1N1)pdm09 virus showed reduced inhibition by neuraminidase inhibitors. None of the influenza viruses analyzed had genetic markers of reduced susceptibility to baloxavir.
Collapse
|
4
|
Nabakooza G, Owuor DC, de Laurent ZR, Galiwango R, Owor N, Kayiwa JT, Jjingo D, Agoti CN, Nokes DJ, Kateete DP, Kitayimbwa JM, Frost SDW, Lutwama JJ. Phylogenomic analysis uncovers a 9-year variation of Uganda influenza type-A strains from the WHO-recommended vaccines and other Africa strains. Sci Rep 2023; 13:5516. [PMID: 37015946 PMCID: PMC10072032 DOI: 10.1038/s41598-023-30667-z] [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: 06/10/2022] [Accepted: 02/28/2023] [Indexed: 04/06/2023] Open
Abstract
Genetic characterisation of circulating influenza viruses directs annual vaccine strain selection and mitigation of infection spread. We used next-generation sequencing to locally generate whole genomes from 116 A(H1N1)pdm09 and 118 A(H3N2) positive patient swabs collected across Uganda between 2010 and 2018. We recovered sequences from 92% (215/234) of the swabs, 90% (193/215) of which were whole genomes. The newly-generated sequences were genetically and phylogenetically compared to the WHO-recommended vaccines and other Africa strains sampled since 1994. Uganda strain hemagglutinin (n = 206), neuraminidase (n = 207), and matrix protein (MP, n = 213) sequences had 95.23-99.65%, 95.31-99.79%, and 95.46-100% amino acid similarity to the 2010-2020 season vaccines, respectively, with several mutated hemagglutinin antigenic, receptor binding, and N-linked glycosylation sites. Uganda influenza type-A virus strains sequenced before 2016 clustered uniquely while later strains mixed with other Africa and global strains. We are the first to report novel A(H1N1)pdm09 subclades 6B.1A.3, 6B.1A.5(a,b), and 6B.1A.6 (± T120A) that circulated in Eastern, Western, and Southern Africa in 2017-2019. Africa forms part of the global influenza ecology with high viral genetic diversity, progressive antigenic drift, and local transmissions. For a continent with inadequate health resources and where social distancing is unsustainable, vaccination is the best option. Hence, African stakeholders should prioritise routine genome sequencing and analysis to direct vaccine selection and virus control.
Collapse
Affiliation(s)
- Grace Nabakooza
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda.
- Makerere University/UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Uganda Virus Research Institute (UVRI), Entebbe, Uganda.
- Centre for Computational Biology, Uganda Christian University, Mukono, Uganda.
- Oak Ridge Institute for Science and Education, Bioinformatics Research Fellow to the Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
| | - D Collins Owuor
- Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Zaydah R de Laurent
- Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Ronald Galiwango
- Makerere University/UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Uganda Virus Research Institute (UVRI), Entebbe, Uganda
- Centre for Computational Biology, Uganda Christian University, Mukono, Uganda
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences (ACE), Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - Nicholas Owor
- Department of Arbovirology Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute (UVRI), Entebbe, Uganda
| | - John T Kayiwa
- Department of Arbovirology Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute (UVRI), Entebbe, Uganda
| | - Daudi Jjingo
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences (ACE), Infectious Diseases Institute, Makerere University, Kampala, Uganda
- Department of Computer Science, College of Computing, Makerere University, Kampala, Uganda
| | - Charles N Agoti
- Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - D James Nokes
- Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom
| | - David P Kateete
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
- Makerere University/UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Uganda Virus Research Institute (UVRI), Entebbe, Uganda
| | - John M Kitayimbwa
- Makerere University/UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Uganda Virus Research Institute (UVRI), Entebbe, Uganda
- Centre for Computational Biology, Uganda Christian University, Mukono, Uganda
| | - Simon D W Frost
- Microsoft Research, Redmond, Washington, 98052, United States
- London School of Hygiene and Tropical Medicine (LSHTM), Keppel St, Bloomsbury, London, United Kingdom
| | - Julius J Lutwama
- Department of Arbovirology Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute (UVRI), Entebbe, Uganda
| |
Collapse
|
5
|
Generating Minimal Models of H1N1 NS1 Gene Sequences Using Alignment-Based and Alignment-Free Algorithms. Genes (Basel) 2023; 14:genes14010186. [PMID: 36672928 PMCID: PMC9858667 DOI: 10.3390/genes14010186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 01/13/2023] Open
Abstract
For virus classification and tracing, one idea is to generate minimal models from the gene sequences of each virus group for comparative analysis within and between classes, as well as classification and tracing of new sequences. The starting point of defining a minimal model for a group of gene sequences is to find their longest common sequence (LCS), but this is a non-deterministic polynomial-time hard (NP-hard) problem. Therefore, we applied some heuristic approaches of finding LCS, as well as some of the newer methods of treating gene sequences, including multiple sequence alignment (MSA) and k-mer natural vector (NV) encoding. To evaluate our algorithms, a five-fold cross validation classification scheme on a dataset of H1N1 virus non-structural protein 1 (NS1) gene was analyzed. The results indicate that the MSA-based algorithm has the best performance measured by classification accuracy, while the NV-based algorithm exhibits advantages in the time complexity of generating minimal models.
Collapse
|
6
|
Dempsey R, Tamburrino G, Schewe KE, Crowe J, Nuccitelli A, Dibben O. Haemagglutinin substitutions N125D, D127E, D222G and R223Q improve replicative fitness and vaccine effectiveness of an A/H1N1pdm09 live attenuated influenza vaccine virus by enhancing α-2,6 receptor binding. PLoS Pathog 2022; 18:e1010585. [PMID: 35622874 PMCID: PMC9182293 DOI: 10.1371/journal.ppat.1010585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 06/09/2022] [Accepted: 05/10/2022] [Indexed: 11/19/2022] Open
Abstract
During 2013–14 and 2015–16, A/H1N1pdm09 live attenuated influenza vaccine (LAIV) viruses replicated inefficiently in primary human nasal epithelial cells (hNEC). This led to reduced vaccine effectiveness (VE) in quadrivalent formulations, mediated by inter-strain competition. By mutating the haemagglutinin (HA) protein, we aimed to enhance hNEC replication of a novel A/H1N1pdm09 vaccine strain to overcome competition and improve VE. Combinations of N125D, D127E, D222G and R223Q substitutions were introduced to the HA protein of A/Slovenia/2903/2015 (A/SLOV15). A/SLOV15 S13, containing all four HA substitutions, produced approximately 1000-fold more virus than parental V1 during hNEC infection. Immunogenicity in ferrets was increased by approximately 10-fold, without compromising yield in eggs or antigenic match to wild-type (wt) reference strains. Despite S13 and V1 being antigenically similar, only S13 protected ferrets from wt virus shedding and fever post-challenge. Crucially, these data suggested that enhanced fitness allowed S13 to overcome inter-strain competition in quadrivalent LAIV (QLAIV). This improved efficacy was later validated by real-world VE data. S13 displayed increased binding avidity to a mammalian-like α-2,6 receptor analogue (6-SLN), relative to V1, while maintaining avian-like 3-SLN avidity. In silico modelling of the HA receptor binding site revealed additional interactions in the S13:6-SLN binding network and a mild increase in 6-SLN binding energy, indicating a possible mechanism for increased α-2,6 receptor-binding avidity. These data confirm that rational HA mutagenesis can be used to optimise hNEC replication and VE for A/H1N1pdm09 LAIV viruses.
Collapse
Affiliation(s)
- Rachael Dempsey
- Flu-BPD, Biopharmaceuticals R&D, AstraZeneca, Liverpool, United Kingdom
- * E-mail:
| | - Giulia Tamburrino
- In vivo expressed biologics, Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - Jonathan Crowe
- Flu-BPD, Biopharmaceuticals R&D, AstraZeneca, Liverpool, United Kingdom
| | - Annalisa Nuccitelli
- In vivo expressed biologics, Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | - Oliver Dibben
- Flu-BPD, Biopharmaceuticals R&D, AstraZeneca, Liverpool, United Kingdom
| |
Collapse
|
7
|
Kuzmanovska M, Boshevska G, Janchevska E, Buzharova T, Simova M, Peshnacka A, Nikolovska G, Kochinski D, Ilioska RS, Stavridis K, Mikikj V, Kuzmanovska G, Memeti S, Gjorgoski I. A Comprehensive Molecular and Epidemiological Characterization of Influenza Viruses Circulating 2016-2020 in North Macedonia. Front Microbiol 2021; 12:713408. [PMID: 34745027 PMCID: PMC8567633 DOI: 10.3389/fmicb.2021.713408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 09/27/2021] [Indexed: 11/16/2022] Open
Abstract
Influenza viruses know no boundaries, representing an example of rapid virus evolution combined with pressure exerted by the host’s immune system. Seasonal influenza causes 4–50 million symptomatic cases in the EU/EEA each year, with a global death toll reaching 650,000 deaths. That being the case, in 2014 North Macedonia introduced the sentinel surveillance in addition to the existing influenza surveillance in order to obtain more precise data on the burden of disease, circulating viruses and to implement timely preventive measures. The aims of this study were to give a comprehensive virological and epidemiological overview of four influenza seasons (2016–2020), assess the frequency and distribution of influenza circulating in North Macedonia and to carry out molecular and phylogenetic analyses of the hemagglutinin (HA) and neuraminidase (NA) genes of influenza A(H1N1)pdm09, A(H3N2) from ILI and SARI patients. Our results showed that out of 1,632 tested samples, 46.4% were influenza positive, with influenza A(H1N1)pdm09 accounting for the majority of cases (44%), followed by influenza B (32%) and A(H3N2) (17%). By comparing the sentinel surveillance system to the routine surveillance system, we showed that the newly applied system works efficiently and gives great results in the selection of cases. Statistically significant differences (p = < 0.0000001) were observed when comparing the number of reported ILI cases among patients aged 0–4, 5–14, 15–29, and 30–64 years to the reference age group. The phylogenetic analysis of the HA sequences unveiled the resemblance of mutations circulating seasonally worldwide, with a vast majority of circulating viruses belonging to subclade 6B.1A. The PROVEAN analysis showed that the D187A substitution in the receptor binding site (RBS) of the A(H1N1)pdm09 HA has a deleterious effect on the its function. The A(H3N2) viruses fell into the 3C.2a and 3C.3a throughout the analyzed seasons. Molecular characterization revealed that various substitutions in the A(H3N2) viruses gradually replaced the parental variant in subsequent seasons before becoming the dominant variant. With the introduction of sentinel surveillance, accompanied by the advances made in whole-genome sequencing and vaccine therapeutics, public health officials can now modify their approach in disease management and intervene effectively and in a timely manner to prevent major morbidity and mortality from influenza.
Collapse
Affiliation(s)
- Maja Kuzmanovska
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | | | | | - Teodora Buzharova
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Milica Simova
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Aneta Peshnacka
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Gordana Nikolovska
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Dragan Kochinski
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | | | - Kristina Stavridis
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Vladimir Mikikj
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | | | - Shaban Memeti
- Laboratory of Virology, Institute of Public Health, Skopje, North Macedonia
| | - Icko Gjorgoski
- Faculty of Natural Sciences and Mathematics, Skopje, North Macedonia
| |
Collapse
|
8
|
Van Goethem N, Robert A, Bossuyt N, Van Poelvoorde LAE, Quoilin S, De Keersmaecker SCJ, Devleesschauwer B, Thomas I, Vanneste K, Roosens NHC, Van Oyen H. Evaluation of the added value of viral genomic information for predicting severity of influenza infection. BMC Infect Dis 2021; 21:785. [PMID: 34376182 PMCID: PMC8353062 DOI: 10.1186/s12879-021-06510-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 07/18/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The severity of an influenza infection is influenced by both host and viral characteristics. This study aims to assess the relevance of viral genomic data for the prediction of severe influenza A(H3N2) infections among patients hospitalized for severe acute respiratory infection (SARI), in view of risk assessment and patient management. METHODS 160 A(H3N2) influenza positive samples from the 2016-2017 season originating from the Belgian SARI surveillance were selected for whole genome sequencing. Predictor variables for severity were selected using a penalized elastic net logistic regression model from a combined host and genomic dataset, including patient information and nucleotide mutations identified in the viral genome. The goodness-of-fit of the model combining host and genomic data was compared using a likelihood-ratio test with the model including host data only. Internal validation of model discrimination was conducted by calculating the optimism-adjusted area under the Receiver Operating Characteristic curve (AUC) for both models. RESULTS The model including viral mutations in addition to the host characteristics had an improved fit ([Formula: see text]=12.03, df = 3, p = 0.007). The optimism-adjusted AUC increased from 0.671 to 0.732. CONCLUSIONS Adding genomic data (selected season-specific mutations in the viral genome) to the model containing host characteristics improved the prediction of severe influenza infection among hospitalized SARI patients, thereby offering the potential for translation into a prospective strategy to perform early season risk assessment or to guide individual patient management.
Collapse
Affiliation(s)
- Nina Van Goethem
- Scientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium.
- Department of Epidemiology and Biostatistics, Institut de Recherche Expérimentale et Clinique, Faculty of Public Health, Université Catholique de Louvain, Clos Chapelle-aux-champs 30, 1200, Woluwe-Saint-Lambert, Belgium.
| | - Annie Robert
- Department of Epidemiology and Biostatistics, Institut de Recherche Expérimentale et Clinique, Faculty of Public Health, Université Catholique de Louvain, Clos Chapelle-aux-champs 30, 1200, Woluwe-Saint-Lambert, Belgium
| | - Nathalie Bossuyt
- Scientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Laura A E Van Poelvoorde
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Sophie Quoilin
- Scientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | | | - Brecht Devleesschauwer
- Scientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
- Department of Veterinary Public Health and Food Safety, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Isabelle Thomas
- National Reference Center Influenza, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Nancy H C Roosens
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Herman Van Oyen
- Scientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium
- Department of Public Health and Primary Care, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium
| |
Collapse
|
9
|
Danilenko AV, Kolosova NP, Shvalov AN, Ilyicheva TN, Svyatchenko SV, Durymanov AG, Bulanovich JA, Goncharova NI, Susloparov IM, Marchenko VY, Tregubchak TV, Gavrilova EV, Maksyutov RA, Ryzhikov AB. Evaluation of HA-D222G/N polymorphism using targeted NGS analysis in A(H1N1)pdm09 influenza virus in Russia in 2018-2019. PLoS One 2021; 16:e0251019. [PMID: 33914831 PMCID: PMC8084186 DOI: 10.1371/journal.pone.0251019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/19/2021] [Indexed: 02/07/2023] Open
Abstract
Outbreaks of influenza, which is a contagious respiratory disease, occur throughout the world annually, affecting millions of people with many fatal cases. The D222G/N mutations in the hemagglutinin (HA) gene of A(H1N1)pdm09 are associated with severe and fatal human influenza cases. These mutations lead to increased virus replication in the lower respiratory tract (LRT) and may result in life-threatening pneumonia. Targeted NGS analysis revealed the presence of mutations in major and minor variants in 57% of fatal cases, with the proportion of viral variants with mutations varying from 1% to 98% in each individual sample in the epidemic season 2018-2019 in Russia. Co-occurrence of the mutations D222G and D222N was detected in a substantial number of the studied fatal cases (41%). The D222G/N mutations were detected at a low frequency (less than 1%) in the rest of the studied samples from fatal and nonfatal cases of influenza. The presence of HA D222Y/V/A mutations was detected in a few fatal cases. The high rate of occurrence of HA D222G/N mutations in A(H1N1)pdm09 viruses, their increased ability to replicate in the LRT and their association with fatal outcomes points to the importance of monitoring the mutations in circulating A(H1N1)pdm09 viruses for the evaluation of their epidemiological significance and for the consideration of disease prevention and treatment options.
Collapse
Affiliation(s)
- Alexey V. Danilenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Natalia P. Kolosova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander N. Shvalov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Tatyana N. Ilyicheva
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Svetlana V. Svyatchenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander G. Durymanov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Julia A. Bulanovich
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Natalia I. Goncharova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Ivan M. Susloparov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Vasiliy Y. Marchenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Tatyana V. Tregubchak
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Elena V. Gavrilova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Rinat A. Maksyutov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander B. Ryzhikov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| |
Collapse
|
10
|
Ben Hamed S, Elargoubi A, Harrabi M, Srihi H, Souiai O, Mastouri M, Almalki MA, Gharbi J, Ben M’hadheb M. Phylogenetic analysis of the neuraminidase segment gene of Influenza A/H1N1 strains isolated from Monastir Region (Tunisia) during the 2017-2018 outbreak. Biologia (Bratisl) 2021; 76:1797-1806. [PMID: 33727729 PMCID: PMC7952816 DOI: 10.1007/s11756-021-00723-y] [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: 07/20/2020] [Accepted: 02/19/2021] [Indexed: 11/25/2022]
Abstract
Influenza A/H1N1 is widely considered to be a very evolutionary virus causing major public health problems. Since the pandemic of 2009, there has been a rapid rise in human Influenza virus characterization. However, little data is available in Tunisia regarding its genetic evolution. In light of this fact, our paper aim is to genetically characterize the Neuraminidase, known as the target of antiviral inhibitors, in Tunisian isolates circulating in Monastir region during 2017-2018. In total of 31 positive Influenza A/H1N1 detected by multiplex real-time PCR, RT-PCR of neuraminidase was performed. Among the 31 positive samples, 7 samples representing fatal and most severe cases were conducted for sequencing and genetic analysis. The results thus obtained showed genetic evolution of the A/H1N1 neuraminidase between 2009 and 2010 and 2018-2019 outbreaks. All Tunisian isolates were genetically related to the recommended vaccine strain with a specific evolution. Moreover, the phylogenetic analysis demonstrated that France and especially Italian strains were the major related strains. Interestingly, our results revealed a specific cluster of Tunisian isolates where two intragroup were evolved in correlation with the severity and the fatalities cases. From the outcome of our investigation, this study confirms the genetic evolution of the Influenza A virus circulating in Tunisia and gives a preliminary analysis for a better comprehension of new emerging Tunisian strain's virulence and thus, a more appropriate monitoring of Influenza virus A/H1N1 during each round of outbreaks. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11756-021-00723-y.
Collapse
Affiliation(s)
- Sabrine Ben Hamed
- Unité de Recherche UR17ES30 “Génomique Biotechnologie et Stratégies Antivirales” (ViroBiotech), Institut Supérieur de Biotechnologie, Université de Monastir, BP74, Avenue Tahar Hadded, Monastir, 5000 Tunisia
| | - Aida Elargoubi
- Laboratoire de Recherche LR99ES27 “Maladies Transmissibles & Substances Biologiquement Actives”, Faculté de Pharmacie de Monastir, Avenue Avicenne, Monastir, Tunisia
| | - Myriam Harrabi
- Unité de Recherche UR17ES30 “Génomique Biotechnologie et Stratégies Antivirales” (ViroBiotech), Institut Supérieur de Biotechnologie, Université de Monastir, BP74, Avenue Tahar Hadded, Monastir, 5000 Tunisia
- Laboratoroire de “BioInformatique, bioMathematique & bioStatistique” (BIMS), Institut Pasteur de Tunis, BP 74, 13, place Pasteur Tunis, 1002 Tunis, Tunisia
| | - Haythem Srihi
- Unité de Recherche UR17ES30 “Génomique Biotechnologie et Stratégies Antivirales” (ViroBiotech), Institut Supérieur de Biotechnologie, Université de Monastir, BP74, Avenue Tahar Hadded, Monastir, 5000 Tunisia
| | - Oussema Souiai
- Laboratoroire de “BioInformatique, bioMathematique & bioStatistique” (BIMS), Institut Pasteur de Tunis, BP 74, 13, place Pasteur Tunis, 1002 Tunis, Tunisia
| | - Maha Mastouri
- Laboratoire de Recherche LR99ES27 “Maladies Transmissibles & Substances Biologiquement Actives”, Faculté de Pharmacie de Monastir, Avenue Avicenne, Monastir, Tunisia
| | - Mohammed Awadh Almalki
- Department of Biological Sciences, College of Science, King Faisal University, P.O. Box 380, Al-Ahsa, 31982 Kingdom of Saudi Arabia
| | - Jawhar Gharbi
- Unité de Recherche UR17ES30 “Génomique Biotechnologie et Stratégies Antivirales” (ViroBiotech), Institut Supérieur de Biotechnologie, Université de Monastir, BP74, Avenue Tahar Hadded, Monastir, 5000 Tunisia
- Department of Biological Sciences, College of Science, King Faisal University, P.O. Box 380, Al-Ahsa, 31982 Kingdom of Saudi Arabia
| | - Manel Ben M’hadheb
- Unité de Recherche UR17ES30 “Génomique Biotechnologie et Stratégies Antivirales” (ViroBiotech), Institut Supérieur de Biotechnologie, Université de Monastir, BP74, Avenue Tahar Hadded, Monastir, 5000 Tunisia
| |
Collapse
|
11
|
Molecular evolution and characterization of hemagglutinin and neuraminidase of influenza A(H1N1)pdm09 viruses isolated in Beijing, China, during the 2017-2018 and 2018-2019 influenza seasons. Arch Virol 2020; 166:179-189. [PMID: 33145635 DOI: 10.1007/s00705-020-04869-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/19/2020] [Indexed: 10/23/2022]
Abstract
We investigated and analysed the molecular evolution of hemagglutinin (HA) and neuraminidase (NA) of influenza A(H1N1)pdm09 virus during the 2017-2018 and 2018-2019 influenza seasons in Beijing, China. We collected and extracted RNA from influenza A(H1N1)pdm09 strains from Peking University People's Hospital and analyzed their HA and NA genes by RT-PCR and sequencing. Phylogenetic analysis of HA and NA sequences was used to compare the amino acid sequences of 51 strains with those of reference strains. All strains belonged to subclade 6B.1, with S162N and I216T substitutions (H1 numbering). Our strains differed from strain A/Michigan/45/2015, with the substitutions S91R, S181T and I312V in the HA antigenic epitope. An E189G mutation was detected in the 190 helix of the receptor binding region of HA. A new potential glycosylation site, 179 (NQT), which was not detected before the 2015 influenza season, was identified. Two strains were mutated at I223, the NA inhibitor resistance site. During 2012-2019, amino acids of HA and NA mutated over time. Co-occurrence mutations N146D, S200P, S202I and A273T in HA appeared along with Q51K, F74S and D416N in NA in six strains during two influenza seasons. Our work reveals the molecular changes and phylogenetic characteristics of influenza A(H1N1)pdm09 virus and suggests that a vaccine probably provides suboptimal protection. The biological characteristics of the new glycosylation and drug-resistance sites detected in this work need to be studied further. The co-occurrence of mutations in HA and NA might affect the characteristics of the virus and need to be given more attention.
Collapse
|
12
|
Differential Viral-Host Immune Interactions Associated with Oseltamivir-Resistant H275Y and Wild-Type H1N1 A(pdm09) Influenza Virus Pathogenicity. Viruses 2020; 12:v12080794. [PMID: 32721992 PMCID: PMC7472233 DOI: 10.3390/v12080794] [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: 06/04/2020] [Revised: 07/14/2020] [Accepted: 07/21/2020] [Indexed: 12/26/2022] Open
Abstract
Oseltamivir is a common therapy against influenza A virus (IAV) infections. The acquisition of oseltamivir resistance (OR) mutations, such as H275Y, hampers viral fitness. However, OR H1N1 viruses have demonstrated the ability to spread throughout different populations. The objective of this work was to compare the fitness of two strains of OR (R6 and R7) containing the H275Y mutation, and a wild-type (F) pandemic influenza A (H1N1) 2009 (pdm09) virus both in vitro and in vivo in mice and to select one OR strain for a comparison with F in ferrets. R6 showed faster replication and pathogenicity than R7 in vitro and in mice. Subsequently, R6 was selected for the fitness comparison with the F strain in ferrets. Ferrets infected with the F virus showed more severe clinical signs, histopathological lung lesions, and viral quantification when compared to OR R6-infected animals. More importantly, differential viral kinetics correlated with differential pro-inflammatory host immune responses in the lungs of infected ferrets, where OR-infected animals developed a protective higher expression of type I IFN and Retinoid acid Inducible Gene I (RIG-I) genes early after infection, resulting in the development of milder disease. These results suggest the presence of early specific viral-host immune interactions relevant in the development of influenza-associated lung pathology.
Collapse
|
13
|
Nandhini P, Sistla S. Genetic sequencing of influenza A (H1N1) pdm09 isolates from South India, collected between 2011 and 2015 to detect mutations affecting virulence and resistance to oseltamivir. Indian J Med Microbiol 2020; 38:324-337. [PMID: 33154243 DOI: 10.4103/ijmm.ijmm_20_83] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Influenza A viruses evolve continuously and the two surface antigens, hemagglutinin (HA) and neuraminidase (NA) have been the target proteins for research as they are vital components in determining the virulence, immune effectiveness, pathogenicity, transmission and resistance. Methods Both HA and NA (partial genes) of 45 pandemic influenza A(H1N1)pdm09 isolates were sequenced. Phylogenetic analysis was performed with reference to representative global isolates retrieved from Influenza Virus Resource (IVR), GISAID EpiFluTM and GenBank and evolutionary analyses. Nucleotide and amino acid sequences were aligned using ClustalW/ Clustal Omega/MEGA version 6 with reference to vaccine strain (A/California/07/2009). Results All the isolates clustered along with the clade 7 virus, irrespective of the year of isolation. The study isolates exhibited 98.5% and 98.8% nucleotide homology to the reference strain A/California/07/2009(H1N1) for HA and NA, respectively. Overall, there was limited genetic diversity observed over a period of 3 years (2012-2015). Two samples collected from expired patients had D239N (D222G or D225G) mutation in HA. This mutation which is associated with dual-binding specificity of the virus has been well-correlated with severe disease outcomes. All the study isolates possessed H274 residue and 7 strains had N295S, the next most common mutation found in oseltamivir-resistant variants. Conclusion In this study, although H274Y mutation associated with oseltamivir resistance has not been noted, significant mutations have been noted in both HA and NA genes including D239N, N295S, V106I, Q136K, N248D, V267A. In both HA and NA gene analysis, multiple mutations were found more in 2015 strains when compared to 2012 strains. Hence such accumulation of mutations has to be monitored continuously to determine the efficacy of annual flu vaccines and anti-influenza drugs.
Collapse
MESH Headings
- Adult
- Aged
- Amino Acids/analysis
- Amino Acids/genetics
- Antiviral Agents/pharmacology
- Child, Preschool
- Drug Resistance, Viral/genetics
- Female
- Hemagglutinins/chemistry
- Hemagglutinins/genetics
- Humans
- India/epidemiology
- Infant
- Influenza A Virus, H1N1 Subtype/drug effects
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H1N1 Subtype/pathogenicity
- Influenza, Human/epidemiology
- Influenza, Human/virology
- Male
- Middle Aged
- Mutation
- Neuraminidase/chemistry
- Neuraminidase/genetics
- Oseltamivir/pharmacology
- Phylogeny
- RNA, Viral/chemistry
- RNA, Viral/isolation & purification
- Virulence
- Young Adult
Collapse
Affiliation(s)
- P Nandhini
- Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Sujatha Sistla
- Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| |
Collapse
|
14
|
Lian JS, Cai H, Hao SR, Jin X, Zhang XL, Zheng L, Jia HY, Hu JH, Zhang SY, Yu GD, Gu JQ, Ye CY, Jin CL, Lu YF, Sheng JF, Yang YD. Comparison of epidemiological and clinical characteristics of COVID-19 patients with and without Wuhan exposure history in Zhejiang Province, China. J Zhejiang Univ Sci B 2020; 21:369-377. [PMID: 32425002 PMCID: PMC7210103 DOI: 10.1631/jzus.b2000112] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background: A novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first identified in Wuhan, China, has been rapidly spreading around the world. This study investigates the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients in Zhejiang Province who did or did not have a history of Wuhan exposure. Methods: We collected data from medical records of confirmed COVID-19 patients in Zhejiang Province from Jan. 17 to Feb. 7, 2020 and analyzed epidemiological, clinical, and treatment data of those with and without recorded recent exposure in Wuhan. Results: Patients in the control group were older than those in the exposure group ((48.19±16.13) years vs. (43.47±13.12) years, P<0.001), and more were over 65 years old (15.95% control vs. 5.60% exposure, P<0.001). The rate of clustered onset was also significantly higher in the control group than in the exposure group (31.39% vs. 18.66%, P<0.001). The symptom of a sore throat in patients in the exposure group was significantly higher than that in the control group (17.30% vs. 10.89%, P=0.01); however, headache in the exposure group was significantly lower than that in the control group (6.87% vs. 12.15%, P=0.015). More patients in the exposure group had a significantly lower level of lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) than those in the control group. There was no significant difference in any degree of COVID-19 including mild, severe, and critical between the two groups. Conclusions: From the perspective of epidemiological and clinical characteristics, there was no significant difference between COVID-19 patients with and without Wuhan exposure history.
Collapse
Affiliation(s)
- Jiang-Shan Lian
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Huan Cai
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Shao-Rui Hao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Xi Jin
- Department of Gastroenterology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Xiao-Li Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Lin Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Hong-Yu Jia
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jian-Hua Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Shan-Yan Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Guo-Dong Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jue-Qing Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Chan-Yuan Ye
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Ci-Liang Jin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Ying-Feng Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Ji-Fang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yi-da Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| |
Collapse
|
15
|
Comparison of the Pathogenicity in Mice of A(H1N1)pdm09 Viruses Isolated between 2009 and 2015 in Japan. Viruses 2020; 12:v12020155. [PMID: 32013144 PMCID: PMC7077310 DOI: 10.3390/v12020155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 01/19/2020] [Accepted: 01/20/2020] [Indexed: 11/16/2022] Open
Abstract
The A(H1N1)pdm09 virus emerged in 2009 and continues to circulate in human populations. Recent A(H1N1)pdm09 viruses, that is, A(H1N1)pdm09 viruses circulating in the post-pandemic era, can cause more or less severe infections than those caused by the initial pandemic viruses. To evaluate the changes in pathogenicity of the A(H1N1)pdm09 viruses during their continued circulation in humans, we compared the nucleotide and amino acid sequences of ten A(H1N1)pdm09 viruses isolated in Japan between 2009 and 2015, and experimentally infected mice with each virus. The severity of infection caused by these Japanese isolates ranged from milder to more severe than that caused by the prototypic pandemic strain A/California/04/2009 (CA04/09); however, specific mutations responsible for their pathogenicity have not yet been identified.
Collapse
|
16
|
Misra RS, Nayak JL. The Importance of Vaccinating Children and Pregnant Women against Influenza Virus Infection. Pathogens 2019; 8:pathogens8040265. [PMID: 31779153 PMCID: PMC6963306 DOI: 10.3390/pathogens8040265] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/20/2019] [Accepted: 11/22/2019] [Indexed: 12/21/2022] Open
Abstract
Influenza virus infection is responsible for significant morbidity and mortality in the pediatric and pregnant women populations, with deaths frequently caused by severe influenza-associated lower respiratory tract infection and acute respiratory distress syndrome (ARDS). An appropriate immune response requires controlling the viral infection through activation of antiviral defenses, which involves cells of the lung and immune system. High levels of viral infection or high levels of inflammation in the lower airways can contribute to ARDS. Pregnant women and young children, especially those born prematurely, may develop serious complications if infected with influenza virus. Vaccination against influenza will lead to lower infection rates and fewer complications, even if the vaccine is poorly matched to circulating viral strains, with maternal vaccination offering infants protection via antibody transmission through the placenta and breast milk. Despite the health benefits of the influenza vaccine, vaccination rates around the world remain well below targets. Trust in the use of vaccines among the public must be restored in order to increase vaccination rates and decrease the public health burden of influenza.
Collapse
Affiliation(s)
- Ravi S Misra
- Department of Pediatrics Division of Neonatology, The University of Rochester Medical Center, Rochester, NY 14623, USA
- Correspondence:
| | - Jennifer L Nayak
- Department of Pediatrics Division of Pediatric Infectious Diseases, The University of Rochester Medical Center, Rochester, NY 14623, USA;
| |
Collapse
|
17
|
Jones S, Nelson-Sathi S, Wang Y, Prasad R, Rayen S, Nandel V, Hu Y, Zhang W, Nair R, Dharmaseelan S, Chirundodh DV, Kumar R, Pillai RM. Evolutionary, genetic, structural characterization and its functional implications for the influenza A (H1N1) infection outbreak in India from 2009 to 2017. Sci Rep 2019; 9:14690. [PMID: 31604969 PMCID: PMC6789102 DOI: 10.1038/s41598-019-51097-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 09/20/2019] [Indexed: 12/27/2022] Open
Abstract
Influenza A (H1N1) continues to be a major public health threat due to possible emergence of a more virulent H1N1 strain resulting from dynamic changes in virus adaptability consequent to functional mutations and antigenic drift in the hemagglutinin (HA) and neuraminidase (NA) surface proteins. In this study, we describe the genetic and evolutionary characteristics of H1N1 strains that circulated in India over a period of nine years from 2009 to 2017 in relation to global strains. The finding is important from a global perspective since previous phylogenetic studies have suggested that the tropics contributed substantially to the global circulation of influenza viruses. Bayesian phylogenic analysis of HA sequences along with global strains indicated that there is a temporal pattern of H1N1 evolution and clustering of Indian isolates with globally circulating strains. Interestingly, we observed four new amino acid substitutions (S179N, I233T, S181T and I312V) in the HA sequence of H1N1 strains isolated during 2017 and two (S181T and I312V) were found to be unique in Indian isolates. Structurally these two unique mutations could lead to altered glycan specificity of the HA gene. Similarly, sequence and structural analysis of NA domain revealed that the presence of K432E mutation in H1N1 strains isolated after 2015 from India and in global strains found to induce a major loop shift in the vicinity of the catalytic site. The findings presented here offer an insight as to how these acquired mutations could be associated to an improved adaptability of the virus for efficient human transmissibility.
Collapse
Affiliation(s)
- Sara Jones
- Pathogen Biology Program, Rajiv Gandhi Center for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Shijulal Nelson-Sathi
- Interdiciplinary Biology Program, Rajiv Gandhi Center for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Yejun Wang
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Shenzhen University Health Science Center, Shenzhen, 518060, China
| | - Raji Prasad
- Pathogen Biology Program, Rajiv Gandhi Center for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Sabrina Rayen
- Interdiciplinary Biology Program, Rajiv Gandhi Center for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Vibhuti Nandel
- Interdiciplinary Biology Program, Rajiv Gandhi Center for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Yueming Hu
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Shenzhen University Health Science Center, Shenzhen, 518060, China
| | - Wei Zhang
- Shenzhen Gen Read Technology, Shenzhen, 518000, China
| | - Radhakrishnan Nair
- Laboratory Medicine and Molecular Diagnostics Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Sanjai Dharmaseelan
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | | | - Rakesh Kumar
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India.
| | | |
Collapse
|
18
|
Identification of a novel antiviral micro-RNA targeting the NS1 protein of the H1N1 pandemic human influenza virus and a corresponding viral escape mutation. Antiviral Res 2019; 171:104593. [PMID: 31470040 DOI: 10.1016/j.antiviral.2019.104593] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 08/22/2019] [Accepted: 08/25/2019] [Indexed: 12/20/2022]
Abstract
The influenza A virus (IAV) NS1 protein is one of the major regulators of pathogenicity, being able to suppress innate immune response and host protein synthesis. In this study we identified the human micro RNA hsa-miR-1307-3p as a novel potent suppressor of NS1 expression and influenza virus replication. Transcriptomic analysis indicates that hsa-miR-1307-3p also negatively regulates apoptosis and promotes cell proliferation. In addition, we identified a novel mutation in the NS1 gene of A(H1N1)pdm09 strains circulating in Italy in the 2010-11 season, which enabled the virus to escape the hsa-miR-1307-3p inhibition, conferring replicative advantage to the virus in human cells. To the best of our knowledge, this is the first validation of suppression of IAV H1N1 NS1 by a human micro RNA and the first example of an escape mutation from micro RNA-mediated antiviral response for the A(H1N1)pdm09 virus.
Collapse
|
19
|
Adam DC, Scotch M, MacIntyre CR. Phylodynamics of Influenza A/H1N1pdm09 in India Reveals Circulation Patterns and Increased Selection for Clade 6b Residues and Other High Mortality Mutants. Viruses 2019; 11:E791. [PMID: 31462006 PMCID: PMC6783925 DOI: 10.3390/v11090791] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 08/23/2019] [Accepted: 08/24/2019] [Indexed: 01/03/2023] Open
Abstract
The clinical severity and observed case fatality ratio of influenza A/H1N1pdm09 in India, particularly in 2015 and 2017 far exceeds current global estimates. Reasons for these frequent and severe epidemic waves remain unclear. We used Bayesian phylodynamic methods to uncover possible genetic explanations for this, while also identifying the transmission dynamics of A/H1N1pdm09 between 2009 and 2017 to inform future public health interventions. We reveal a disproportionate selection at haemagglutinin residue positions associated with increased morbidity and mortality in India such as position 222 and clade 6B characteristic residues, relative to equivalent isolates circulating globally. We also identify for the first time, increased selection at position 186 as potentially explaining the severity of recent A/H1N1pdm09 epidemics in India. We reveal national routes of A/H1N1pdm09 transmission, identifying Maharashtra as the most important state for the spread throughout India, while quantifying climactic, ecological, and transport factors as drivers of within-country transmission. Together these results have important implications for future A/H1N1pdm09 surveillance and control within India, but also for epidemic and pandemic risk prediction around the world.
Collapse
Affiliation(s)
- Dillon C Adam
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Matthew Scotch
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- Biodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
| | - C Raina MacIntyre
- Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
- College of Public Service & Community Solutions, Arizona State University, Tempe, AZ 85004, USA
| |
Collapse
|
20
|
Leneva IA, Egorov AY, Falynskova IN, Маkhmudоvа NR, Kartashova NP, Glubokova EA, Vartanova NO, Poddubikov AV. INDUCTION OF SECONDARY BACTERIAL PNEUMONIA IN MICE INFECTED WITH PANDEMIC AND LABORATORY STRAINS OF THE H1N1 INFLUENZA VIRUS. JOURNAL OF MICROBIOLOGY EPIDEMIOLOGY IMMUNOBIOLOGY 2019. [DOI: 10.36233/0372-9311-2019-1-68-74] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Aim.In this study we developed and characterized a mouse model of secondary S. aureus and S. pneumoniae pneumonia following influenza virus infection with H1N1 pandemic and laboratory strains and their reassortment.Materials and methods. BALB/с mice were infected intranasally with A/California/04/2009/(H1N1 pndm), A/Puerto Rico/8/34 or their reassortment NIBRG-121xp followed by different strains of S. аureus и S. pneumoniae. The pathogenicity of infection was assessed by mouse survival and weight change, viral titre and bacterial count in the lungs.Results.It was shown that the infection of mice with three strains of the H1N1 influenza virus with a comparable level of pathogenicity leads to a different severity of secondary bacterial infection. The mouse adapted A/California/04/2009 pandemic strain possessed the greatest ability to alter antibacterial immunity.Conclusion. An experimental model of post-influenza bacterial pneumonia utilizing three strains of the H1N1 influenza virus and various strains of S. aureus or S. pneumoniae was established. The ability of viruses to provoke bacterial superinfection of different severity is characterized.
Collapse
Affiliation(s)
- I. A. Leneva
- Mechnikov Research Institute of Vaccines and Sera
| | - A. Yu. Egorov
- Mechnikov Research Institute of Vaccines and Sera, Smorodintsev Research Institute of Influenza
| | | | | | | | | | | | | |
Collapse
|
21
|
Vázquez-Pérez JA, De La Rosa-Zamboni D, Vega-Sánchez ÁE, Gutiérrez-González LH, Téllez-Navarrete NA, Campos F, Guadarrama-Pérez C, Sandoval JL, Castillejos-López M, Jiménez-Juárez RN, Sánchez-Huerta JL, Pérez-Méndez BB, Pérez-Padilla R. Amino acid changes in HA and determinants of pathogenicity associated with influenza virus A H1N1pdm09 during the winter seasons 2015-2016 and 2016-2017 in Mexico. Virus Res 2019; 272:197731. [PMID: 31445105 DOI: 10.1016/j.virusres.2019.197731] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 07/21/2019] [Accepted: 08/20/2019] [Indexed: 01/16/2023]
Abstract
Biennial H1N1pdm09 influenza A virus (IAV) epidemics have been associated with major severity of respiratory disease in Mexico. Atypically and in contrast with what happened in USA, Canada and Europe during 2017, an increase of infections due to the H1N1pdm09 pandemic virus instead of H3N2 was observed. In order to determine the viral contribution to severe acute respiratory disease, we characterized the pathogenicity determinants of IAV in Mexico during the 2015-2016 and 2016-2017 seasons. The RNA segments of 20 IAV samples were sequenced by NGS platform and phylogenetic analysis was conducted. The analysis of the hemagglutinin (HA) sequences established that all virus samples, except one, belong to clade (6B.1). The IAVs presented the substitution S162 N, which introduces a new glycosylation site in the hemagglutinin. We also found the D222 G substitution, which has been associated with a higher tropism towards the lower respiratory tract, and a non-reported insertion of one Ile in NS1 (Ile113). The IAVs from 2016 to 2017 in Mexico belong to the new clade 6B.1. The new glycosylation site in HA (S162 N) is a major change that may affect the efficacy of the current vaccine. We detected in several patients pathogenicity determinants associated with the severity of the respiratory disease.
Collapse
Affiliation(s)
| | | | | | | | | | - Fernando Campos
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, Mexico
| | | | - José Luis Sandoval
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, Mexico
| | | | | | | | | | - Rogelio Pérez-Padilla
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, Mexico
| |
Collapse
|
22
|
Guldemir D, Coskun-Ari FF, Altas AB, Bakkaloglu Z, Unaldi O, Bayraktar F, Korukluoglu G, Aktas AR, Durmaz R. Molecular characterization of the influenza A(H1N1)pdm09 isolates collected in the 2015-2016 season and comparison of HA mutations detected in Turkey since 2009. J Med Virol 2019; 91:2074-2082. [PMID: 31389035 DOI: 10.1002/jmv.25565] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 08/01/2019] [Indexed: 01/02/2023]
Abstract
Influenza A(H1N1)pdm09 pandemic virus causing the 2009 global outbreak moved into the post-pandemic period, but its variants continued to be the prevailing subtype in the 2015-2016 influenza season in Europe and Asia. To determine the molecular characteristics of influenza A(H1N1)pdm09 isolates circulating during the 2015-2016 season in Turkey, we identified mutations in the hemagglutinin (HA) genes and investigated the presence of H275Y alteration in the neuraminidase genes in the randomly selected isolates. The comparison of the HA nucleotide sequences revealed a very high homology (>99.5%) among the studied influenza A(H1N1)pdm09 isolates, while a relatively low homology (96.6%-97.2%), was observed between Turkish isolates and the A/California/07/2009 vaccine virus. Overall 14 common mutations were detected in HA sequences of all 2015-2016 influenza A(H1N1)pdm09 isolates with respect to the A/California/07/2009 virus, four of which located in three different antigenic sites. Eleven rare mutations in 12 HA sequences were also detected. Phylogenetic analysis revealed that all characterized influenza A(H1N1)pdm09 isolates formed a single genetic cluster, belonging to the genetic subclade 6B.1, defined by HA amino acid substitutions S84N, S162N, and I216T. Furthermore, all isolates showed an oseltamivir-sensitive genotype, suggesting that Tamiflu (Oseltamivir) could still be the drug of choice in Turkey.
Collapse
Affiliation(s)
- Dilek Guldemir
- National Molecular Microbiology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Fatma Filiz Coskun-Ari
- National Molecular Microbiology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Ayse Basak Altas
- National Viral Respiratory Pathogens Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Zekiye Bakkaloglu
- National Molecular Microbiology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Ozlem Unaldi
- National Molecular Microbiology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Fatma Bayraktar
- National Viral Respiratory Pathogens Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Gulay Korukluoglu
- National Viral Respiratory Pathogens Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Ali Riza Aktas
- National Molecular Microbiology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, Turkey
| | - Riza Durmaz
- Department of Clinical Microbiology, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey
| |
Collapse
|
23
|
Khan A, AlBalwi MA, AlAbdulkareem I, AlMasoud A, AlAsiri A, AlHarbi W, AlSehile F, El-Saed A, Balkhy HH. Atypical influenza A(H1N1)pdm09 strains caused an influenza virus outbreak in Saudi Arabia during the 2009-2011 pandemic season. J Infect Public Health 2019; 12:557-567. [PMID: 30799182 DOI: 10.1016/j.jiph.2019.01.067] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 01/22/2019] [Accepted: 01/30/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The triple assortment influenza A(H1N1) virus emerged in spring 2009 and disseminated worldwide, including Saudi Arabia. This study was carried out to characterize Saudi influenza isolates in relation to the global strains and to evaluate the potential role of mutated residues in transmission, adaptation, and the pathogenicity of the virus. METHODS Nasopharyngeal samples (n = 6492) collected between September 2009 to March 2011 from patients with influenza-like illness were screened by PCR for influenza A(H1N1). Phylogenetic and Molecular evolutionary analysis were carried out to place the Saudi strains in relation to the global strains followed by Mutation analysis of surface and internal proteins. RESULTS Concatenated whole-genome phylogenetic analysis along with hemagglutinin (HA) signature changes, that is, Aspartic Acid (D) at position 187, P83S, S203T, and R223Q confirmed that the Saudi strains belong to the antigenic category of A/California/07/2009. However, phylogenetic analysis revealed unusual strains of A(H1N1) circulating in Saudi Arabia, not belonging to any of known clades, appearing in five distinct groups well supported by group-specific mutations and novel mutation complexes. These cases had characteristic inter- and intragroup substitution patterns while few of their closest matches showed up as sporadic cases the world over. Specific mutation patterns were detected within the functional domains of internal proteins PB2, PB1, PA, NP, NS1, and M2 having a putative role in viral fitness and virulence. Bayesian coalescent MCMC analysis revealed that Saudi strains belonged to cluster 2 of A(H1N1)pdm09 and spread a month later as compared to other strains of this cluster. CONCLUSION Influenza outbreak in Saudi Arabia during 2009-2011 was caused by atypical strains of influenza A(H1N1)pdm09, probably introduced in this community on multiple occasions. To understand the antigenic significance of these novel point mutations and mutation complexes require functional studies, which will be crucial for risk assessment of emergent strains and defining infection control measures.
Collapse
Affiliation(s)
- Anis Khan
- Department of Medical Genomics Research, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Mohammed A AlBalwi
- Department of Medical Genomics Research, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; Department of Pathology & Laboratory Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
| | - Ibraheem AlAbdulkareem
- Intramural health sciences research, Princess Nourah Bint Abdulrahman university, Riyadh, Saudi Arabia
| | - Abdulrahman AlMasoud
- Department of Medical Genomics Research, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Abdulrahman AlAsiri
- Department of Medical Genomics Research, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Wardah AlHarbi
- Department of Medical Genomics Research, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Faisal AlSehile
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Aiman El-Saed
- Department of Infection Prevention & Control Department, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Hanan H Balkhy
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; Department of Infection Prevention & Control Department, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| |
Collapse
|
24
|
Pichon M, Picard C, Simon B, Gaymard A, Renard C, Massenavette B, Malcus C, Monneret G, Morfin-Sherpa F, Valette M, Javouhey E, Millat G, Lina B, Josset L, Escuret V. Clinical management and viral genomic diversity analysis of a child's influenza A(H1N1)pdm09 infection in the context of a severe combined immunodeficiency. Antiviral Res 2018; 160:1-9. [DOI: 10.1016/j.antiviral.2018.10.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 10/03/2018] [Accepted: 10/08/2018] [Indexed: 12/23/2022]
|
25
|
Hashem AM, Azhar EI, Shalhoub S, Abujamel TS, Othman NA, Al Zahrani AB, Abdullah HM, Al-Alawi MM, Sindi AA. Genetic characterization and diversity of circulating influenza A/H1N1pdm09 viruses isolated in Jeddah, Saudi Arabia between 2014 and 2015. Arch Virol 2018; 163:1219-1230. [PMID: 29396684 DOI: 10.1007/s00705-018-3732-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 12/19/2017] [Indexed: 12/28/2022]
Abstract
The emerged influenza A/H1N1pdm09 viruses have replaced the previously circulating seasonal H1N1 viruses. The close antigenic properties of these viruses to the 1918 H1N1 pandemic viruses and their post-pandemic evolution pattern could further enhance their adaptation and pathogenicity in humans representing a major public health threat. Given that data on the dynamics and evolution of these viruses in Saudi Arabia is sparse we investigated the genetic diversity of circulating influenza A/H1N1pdm09 viruses from Jeddah, Saudi Arabia, by analyzing 39 full genomes from isolates obtained between 2014-2015, from patients with varying symptoms. Phylogenetic analysis of all gene segments and concatenated genomes showed similar topologies and co-circulation of clades 6b, 6b.1 and 6b.2, with clade 6b.1 being the most predominate since 2015. Most viruses were more closely related to the vaccine strain (Michigan/45/2015) recommended for the 2017/2018 season, than to the California/07/2009 strain. Low sequence variability was observed in the haemagglutinin protein compared to the neuraminidase protein. Resistance to neuraminidase inhibitors was limited as only one isolate had the H275Y substitution. Interestingly, two isolates had short PA-X proteins of 206 amino acids compared to the 232 amino acid protein found in most influenza A/H1N1pdm09 viruses. Together, the co-circulation of several clades and the predominance of clade 6b.1, despite its low circulation in Asia in 2015, suggests multiple introductions most probably during the mass gathering events of Hajj and Umrah. Jeddah represents the main port of entry to the holy cities of Makkah and Al-Madinah, emphasizing the need for vigilant surveillance in the kingdom.
Collapse
MESH Headings
- Amino Acid Substitution
- Female
- Genetic Variation
- Genome, Viral
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Humans
- Influenza A Virus, H1N1 Subtype/classification
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza, Human/epidemiology
- Influenza, Human/transmission
- Influenza, Human/virology
- Male
- Nasopharynx/virology
- Neuraminidase/genetics
- Phylogeny
- RNA, Viral/genetics
- Saudi Arabia/epidemiology
- Seasons
- Sequence Analysis, DNA
- Viral Proteins/genetics
Collapse
Affiliation(s)
- Anwar M Hashem
- Special Infectious Agent Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
- Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
| | - Esam I Azhar
- Special Infectious Agent Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
| | - Sarah Shalhoub
- Division of Infectious Diseases, Department of Medicine, King Fahd Armed Forces Hospital, Jeddah, Kingdom of Saudi Arabia
| | - Turki S Abujamel
- Special Infectious Agent Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Norah A Othman
- Special Infectious Agent Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Abdulwahab B Al Zahrani
- Molecular Diagnostics Laboratory, King Fahd Armed Forces Hospital, Jeddah, Kingdom of Saudi Arabia
| | - Hanan M Abdullah
- Students' Research and Innovation Unit, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Maha M Al-Alawi
- Special Infectious Agent Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
- Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
- Infection Control and Environmental Health Unit, Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, Kingdom of Saudi Arabia
| | - Anees A Sindi
- Department of Anesthesia and Critical Care, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| |
Collapse
|
26
|
The high frequency of non-aspartic acid residues at HA222 in influenza A(H1N1) 2009 pandemic viruses is associated with mortality during the upsurge of 2015: a molecular and epidemiological study from central India. Epidemiol Infect 2017; 145:2656-2665. [DOI: 10.1017/s0950268817001595] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
SUMMARYInfluenza A(H1N1) viruses of the 2009 pandemic (A(H1N1)pdm09) continue to cause outbreaks in the post-pandemic period. During January to May 2015, an upsurge of influenza was recorded that resulted in high fatality in central India. Genetic lineage, mutations in the hemagglutinin (HA) gene and infection by quasi-species are reported to affect disease severity. The objective of this study is to present the molecular and epidemiological trends during the 2015 influenza outbreak in central India. All the referred samples were subjected to qRT–PCR for diagnosis. HA gene sequencing (23 survivors and 24 non-survivors) and cloning were performed and analyzed using Molecular Evolutionary Genomic Analyzer (MEGA 5·05). Of the 3625 tested samples, 1607 (44·3%) were positive for influenza A(H1N1)pdm09, of which 228 (14·2%) individuals succumbed to death. A significant trend was observed in positivity (P = 0·003) and mortality (P < 0·0001) with increasing age. The circulating A(H1N1)pdm09 virus was characterized as belonging to clade-6B. Clinically significant mutations were detected. Patients infected with the quasi-species of the virus had a greater risk of death (P = 0·009). This study proposes a robust molecular and clinical surveillance program for the detection and characterization of the virus, along with prompt treatment protocols to prevent outbreaks.
Collapse
|
27
|
Mukherjee A, Nayak MK, Dutta S, Panda S, Satpathi BR, Chawla-Sarkar M. Genetic Characterization of Circulating 2015 A(H1N1)pdm09 Influenza Viruses from Eastern India. PLoS One 2016; 11:e0168464. [PMID: 27997573 PMCID: PMC5172622 DOI: 10.1371/journal.pone.0168464] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 12/01/2016] [Indexed: 01/13/2023] Open
Abstract
In 2015, the swine derived A(H1N1)pdm09 pandemic strain outbreak became widespread throughout the different states of India. The reported cases and deaths in 2015 surpassed the previous years with more than 39000 laboratory confirmed cases and a death toll of more than 2500 people. There are relatively limited complete genetic sequences available for this virus from Asian countries. In this study, we describe the full genome analysis of influenza 2015 A(H1N1)pdm09 viruses isolated from West Bengal between January through December 2015. The phylogenetic analysis of the haemagglutinin sequence revealed clustering with globally circulating strains of genogroup 6B. This was further confirmed by the constructed concatenated tree using all eight complete gene segments of Kolkata A(H1N1)pdm09 isolates with the other strains from different timeline and lineages. A study from Massachusetts Institute of Technology (MIT) in 2015 reported novel mutations T200A and D225N in haemagglutinin gene of a 2014 Indian strain (A/India/6427/2014). However, in all the pandemic strains of 2014-2015 reported from India, so far including A(H1N1)pdm09 strains from Kolkata, D225N mutation was not observed, though the T200A mutation was found to be conserved. Neuraminidase gene of the analyzed strains did not show any oseltamivir resistant mutation H275Y suggesting continuation of Tamiflu® as drug of choice. The amino acid sequences of the all gene segments from 2015 A(H1N1)pdm09 isolates identified several new mutations compared to the 2009 A(H1N1)pdm09 strains, which may have contributed towards enhanced virulence, compared to 2009 A(H1N1)pdm09 strains.
Collapse
MESH Headings
- Amino Acid Substitution
- Drug Resistance, Viral/genetics
- Genome, Viral
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Humans
- India/epidemiology
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H1N1 Subtype/pathogenicity
- Influenza, Human/drug therapy
- Influenza, Human/epidemiology
- Influenza, Human/genetics
- Mutation, Missense
- Neuraminidase/genetics
- Oseltamivir/therapeutic use
Collapse
Affiliation(s)
- Anupam Mukherjee
- Division of Molecular Virology, National Institute of Cholera and Enteric Diseases, Kolkata, India
| | - Mukti Kant Nayak
- Division of Molecular Virology, National Institute of Cholera and Enteric Diseases, Kolkata, India
| | - Shanta Dutta
- Division of Bacteriology, National Institute of Cholera and Enteric Diseases, Kolkata, India
| | - Samiran Panda
- Division of Epidemiology, National Institute of Cholera and Enteric Diseases, Kolkata, India
| | | | - Mamta Chawla-Sarkar
- Division of Molecular Virology, National Institute of Cholera and Enteric Diseases, Kolkata, India
| |
Collapse
|
28
|
Ilyicheva T, Durymanov A, Susloparov I, Kolosova N, Goncharova N, Svyatchenko S, Petrova O, Bondar A, Mikheev V, Ryzhikov A. Fatal Cases of Seasonal Influenza in Russia in 2015-2016. PLoS One 2016; 11:e0165332. [PMID: 27776172 PMCID: PMC5077104 DOI: 10.1371/journal.pone.0165332] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 10/10/2016] [Indexed: 11/25/2022] Open
Abstract
The influenza epidemic in 2015–2016 in Russia is characterized by a sharp increase of influenza cases (beginning from the second week of 2016) with increased fatalities. Influenza was confirmed in 20 fatal cases registered among children (0–10 years), in 5 cases among pregnant women, and in 173 cases among elderly people (60 years and older). Two hundred and ninety nine people died from influenza were patients with some chronic problems. The overwhelming majority among the deceased (more than 98%) were not vaccinated against influenza. We isolated 109 influenza A(H1N1)pdm09 and one A(H3N2) virus strains from 501 autopsy material samples. The antigenic features of the strains were similar to the vaccine strains. A phylogenic analysis of hemagglutinin revealed that influenza A(H1N1)pdm09 virus strains belonged to 6B genetic group that had two main dominant subgroups during the 2015–2016 season. In Russia strains of the first group predominated. We registered an increased proportion of strains with D222G mutation in receptor-binding site. A herd immunity analysis carried out immediately prior to the epidemic showed that 34.4% blood sera samples collected in different regions of Russia were positive to A/California/07/09(H1N1)pdm09. We came to a conclusion that public awareness enhancement is necessary to reduce unreasonable refusals of vaccination.
Collapse
Affiliation(s)
- T. Ilyicheva
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
- * E-mail:
| | - A. Durymanov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - I. Susloparov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - N. Kolosova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - N. Goncharova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - S. Svyatchenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - O. Petrova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - A. Bondar
- Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - V. Mikheev
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| | - A. Ryzhikov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk, Russia
| |
Collapse
|
29
|
Protein profiling of nasopharyngeal aspirates of hospitalized and outpatients revealed cytokines associated with severe influenza A(H1N1)pdm09 virus infections: A pilot study. Cytokine 2016; 86:10-14. [DOI: 10.1016/j.cyto.2016.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 07/04/2016] [Accepted: 07/05/2016] [Indexed: 12/19/2022]
|
30
|
Manchanda H, Seidel N, Blaess MF, Claus RA, Linde J, Slevogt H, Sauerbrei A, Guthke R, Schmidtke M. Differential Biphasic Transcriptional Host Response Associated with Coevolution of Hemagglutinin Quasispecies of Influenza A Virus. Front Microbiol 2016; 7:1167. [PMID: 27536272 PMCID: PMC4971777 DOI: 10.3389/fmicb.2016.01167] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 07/13/2016] [Indexed: 01/20/2023] Open
Abstract
Severe influenza associated with strong symptoms and lung inflammation can be caused by intra-host evolution of quasispecies with aspartic acid or glycine in hemagglutinin position 222 (HA-222D/G; H1 numbering). To gain insights into the dynamics of host response to this coevolution and to identify key mechanisms contributing to copathogenesis, the lung transcriptional response of BALB/c mice infected with an A(H1N1)pdm09 isolate consisting HA-222D/G quasispecies was analyzed from days 1 to 12 post infection (p.i). At day 2 p.i. 968 differentially expressed genes (DEGs) were detected. The DEG number declined to 359 at day 4 and reached 1001 at day 7 p.i. prior to recovery. Interestingly, a biphasic expression profile was shown for the majority of these genes. Cytokine assays confirmed these results on protein level exemplarily for two key inflammatory cytokines, interferon gamma and interleukin 6. Using a reverse engineering strategy, a regulatory network was inferred to hypothetically explain the biphasic pattern for selected DEGs. Known regulatory interactions were extracted by Pathway Studio 9.0 and integrated during network inference. The hypothetic gene regulatory network revealed a positive feedback loop of Ifng, Stat1, and Tlr3 gene signaling that was triggered by the HA-G222 variant and correlated with a clinical symptom score indicating disease severity.
Collapse
Affiliation(s)
- Himanshu Manchanda
- Research Group Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell InstituteJena, Germany; Department of Virology and Antiviral Therapy, Jena University HospitalJena, Germany
| | - Nora Seidel
- Department of Virology and Antiviral Therapy, Jena University Hospital Jena, Germany
| | - Markus F Blaess
- Integrated Research and Treatment Center - Center for Sepsis Control and Care, Jena University HospitalJena, Germany; Department of Anaesthesiology and Intensive Care Medicine, Research Unit Experimental Anesthesiology, Jena University HospitalJena, Germany
| | - Ralf A Claus
- Integrated Research and Treatment Center - Center for Sepsis Control and Care, Jena University HospitalJena, Germany; Department of Anaesthesiology and Intensive Care Medicine, Research Unit Experimental Anesthesiology, Jena University HospitalJena, Germany
| | - Joerg Linde
- Research Group Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena, Germany
| | - Hortense Slevogt
- Centre of Innovation Competence (ZIK) Septomics, Jena University Hospital Jena, Germany
| | - Andreas Sauerbrei
- Department of Virology and Antiviral Therapy, Jena University Hospital Jena, Germany
| | - Reinhard Guthke
- Research Group Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute Jena, Germany
| | - Michaela Schmidtke
- Department of Virology and Antiviral Therapy, Jena University Hospital Jena, Germany
| |
Collapse
|
31
|
Lytras T, Kossyvakis A, Melidou A, Andreopoulou A, Exindari M, Gioula G, Kalliaropoulos A, Tryfinopoulou K, Pogka V, Spala G, Malisiovas N, Mentis A. Influenza vaccine effectiveness in preventing hospitalizations with laboratory-confirmed influenza in Greece during the 2014-2015 season: A test-negative study. J Med Virol 2016; 88:1896-904. [PMID: 27088266 DOI: 10.1002/jmv.24551] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2016] [Indexed: 11/09/2022]
Abstract
The 2014-2015 influenza season was marked by circulation of antigenically drifted A/H3N2 strains, raising the possibility of low seasonal influenza Vaccine Effectiveness (VE). We assessed VE against hospitalization with laboratory-confirmed influenza for the 2014-2015 season, using routine surveillance data. Non-sentinel swab samples from Greek hospital inpatients were tested for influenza by RT-PCR in three laboratories, covering the entire country. We estimated VE using a test-negative design. Out of 883 patients with known vaccination status, 161 (18.2%) were vaccinated, and 392/883 patients (44.4%) tested positive for influenza, of whom 162 (41.3%) had type B and 151 (38.5%) had A/H3N2. Adjusted VE was 31.6% (95%CI: 2.9-51.8%) against any influenza, 46.8%, 95%CI: 12.5-67.6%) against type B and -1.9%, 95%CI: -69.5 to 38.7%) against A/H3N2. VE against non-ICU hospitalization appeared to be higher, but the difference did not reach statistical significance. Circulating A/H3N2 viruses showed substantial antigenic drift, while about half of the type B strains were similar to the vaccine strain. Despite the antigenic drift of the A/H3N2 strains, the vaccine still offered substantial protection against hospitalization with laboratory-confirmed influenza, mostly due to a surge in type B influenza late in the season. Vaccine coverage was low, even among groups targeted for vaccination, and considerable effort should be made to improve it. J. Med. Virol. 88:1896-1904, 2016. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Theodore Lytras
- Department of Epidemiological Surveillance and Intervention, Hellenic Centre for Disease Control and Prevention, Athens, Greece.,Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Athanasios Kossyvakis
- National Influenza Reference Laboratory for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Angeliki Melidou
- National Influenza Reference Laboratory for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anastasia Andreopoulou
- Department of Epidemiological Surveillance and Intervention, Hellenic Centre for Disease Control and Prevention, Athens, Greece
| | - Maria Exindari
- National Influenza Reference Laboratory for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgia Gioula
- National Influenza Reference Laboratory for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonios Kalliaropoulos
- National Influenza Reference Laboratory for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Kyriaki Tryfinopoulou
- Antimicrobial Resistance and Health Associated Infections Laboratory, Central Public Health Laboratory, Hellenic Centre for Disease Control and Prevention, Athens, Greece.,European Public Health Microbiology Training programme (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Vasiliki Pogka
- National Influenza Reference Laboratory for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Georgia Spala
- Department of Epidemiological Surveillance and Intervention, Hellenic Centre for Disease Control and Prevention, Athens, Greece
| | - Nikolaos Malisiovas
- National Influenza Reference Laboratory for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Andreas Mentis
- National Influenza Reference Laboratory for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| |
Collapse
|
32
|
Liu W, Peng L, Liu H, Hua S. Pulmonary Function and Clinical Manifestations of Patients Infected with Mild Influenza A Virus Subtype H1N1: A One-Year Follow-Up. PLoS One 2015. [PMID: 26218647 PMCID: PMC4517883 DOI: 10.1371/journal.pone.0133698] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Objective To investigate the long-term effects of mild H1N1 influenza infection on the pulmonary function of a cohort of patients. Methods Forty-eight patients, all diagnosed with influenza A virus subtype H1N1 in 2009, were retrospectively included in this study. Each patient in the study was monitored for 11-13 months by standard pulmonary function examination. The examination included monitoring respiratory tract infection symptoms (cough, expectoration or gasping) and vital signs. Long-term changes in symptoms and changes in vital signs were correlated back to and compared with the severity of the initial H1N1 influenza infection. Results One year post discharge, mild to moderate pulmonary dysfunction was observed in the majority of patients. Further, 54.2% of patients had signs of severe abnormal pulmonary function, including diffusion disorder (33.3%) and small airway dysfunction (33.3%). Fourteen patients presented with respiratory tract infection symptoms; 12 with abnormal pulmonary function and two with normal pulmonary function. Our results indicated that the change in pulmonary function at one year post discharge was not significantly correlated with the severity of H1N1 influenza. Conclusion Signs and symptoms of abnormal pulmonary function accompanied by respiratory tract infection symptoms remain for some patients after one year following discharge from the hospital for mild influenza A virus subtype H1N1 infection. These patients should continue to be monitored for any changes in condition and symptoms and rehabilitation treatment should be provided when necessary.
Collapse
Affiliation(s)
- Wei Liu
- Department of Respiratory Medicine, First Hospital, Jilin University, Changchun, 130021, Jilin Province, China
| | - Liping Peng
- Department of Respiratory Medicine, First Hospital, Jilin University, Changchun, 130021, Jilin Province, China
| | - Hongmei Liu
- Department of Respiratory Medicine, First Hospital, Jilin University, Changchun, 130021, Jilin Province, China
| | - Shucheng Hua
- Department of Respiratory Medicine, First Hospital, Jilin University, Changchun, 130021, Jilin Province, China
- * E-mail:
| |
Collapse
|
33
|
Kim YI, Murphy R, Majumdar S, Harrison LG, Aitken J, DeVincenzo JP. Relating plaque morphology to respiratory syncytial virus subgroup, viral load, and disease severity in children. Pediatr Res 2015; 78:380-8. [PMID: 26107392 PMCID: PMC4589428 DOI: 10.1038/pr.2015.122] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 03/26/2015] [Indexed: 12/23/2022]
Abstract
BACKGROUND Viral culture plaque morphology in human cell lines are markers for growth capability and cytopathic effect, and have been used to assess viral fitness and select preattenuation candidates for live viral vaccines. We classified respiratory syncytial virus (RSV) plaque morphology and analyzed the relationship between plaque morphology as compared to subgroup, viral load and clinical severity of infection in infants and children. METHODS We obtained respiratory secretions from 149 RSV-infected children. Plaque morphology and viral load was assessed within the first culture passage in HEp-2 cells. Viral load was measured by polymerase chain reaction (PCR), as was RSV subgroup. Disease severity was determined by hospitalization, length of stay, intensive care requirement, and respiratory failure. RESULTS Plaque morphology varied between individual subjects; however, similar results were observed among viruses collected from upper and lower respiratory tracts of the same subject. Significant differences in plaque morphology were observed between RSV subgroups. No correlations were found among plaque morphology and viral load. Plaque morphology did not correlate with disease severity. CONCLUSION Plaque morphology measures parameters that are viral-specific and independent of the human host. Morphologies vary between patients and are related to RSV subgroup. In HEp-2 cells, RSV plaque morphology appears unrelated to disease severity in RSV-infected children.
Collapse
Affiliation(s)
- Young-In Kim
- grid.267301.10000 0004 0386 9246Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee ,grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee
| | - Ryan Murphy
- grid.267301.10000 0004 0386 9246Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee ,grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee
| | - Sirshendu Majumdar
- grid.267301.10000 0004 0386 9246Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee ,grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee
| | - Lisa G. Harrison
- grid.267301.10000 0004 0386 9246Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee ,grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee
| | - Jody Aitken
- grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee
| | - John P. DeVincenzo
- grid.267301.10000 0004 0386 9246Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee ,grid.413728.b0000 0004 0383 6997Children’s Foundation Research Institute at Le Bonheur Children’s Hospital, Memphis, Tennessee ,grid.267301.10000 0004 0386 9246Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee
| |
Collapse
|