Variation in the HA antigenicity of A(H1N1)pdm09-related swine influenza viruses

Khalil, Ahmed Magdy; Yoshida, Reiko; Masatani, Tatsunori; Takada, Ayato; Ozawa, Makoto

doi:10.1099/jgv.0.001569

Cited by 5 publications

(5 citation statements)

References 56 publications

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“…Kostka [13] created a big data NPO analysis system, improved the information database into a distributed storage database, and proved that the system was effective [13]. Khalil et al [14] used Twitter and web crawlers to obtain Hemagglutinin 1 Neuraminidase 1 (H1N1) influenza development data.…”

Section: Introductionmentioning

confidence: 99%

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Network Media Public Opinion and Social Governance Supported by the Internet-of-Things Big Data

Zhao

Miao

2022

Security and Communication Networks

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The purpose is to make for the traditional Network Public Opinion (NPO) analysis methods’ inadequacy in the era of big data and provide a sufficient decision-making basis for managers. Based on the Internet of Things (IoT) and big data, this work applies Natural Language Processing (NLP) to NPO analysis. Additionally, it takes the content of Microblog text format as the main collection target, constructs a big data collection tool, and establishes Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Deep Pyramid Convolutional Neural Network (DPCNN) based on Tensorflow and other deep learning models. It is also improved in combination with the characteristics of the model, and a new model is proposed. Finally, the performance of various models is compared and analyzed through experiments, and the path is proposed for the government to use big data to improve the ability to govern NPO and help social governance. The results show that the improved LSTM model can correctly classify the extracted Microblog text’s emotion by as much as 80.00%. It improves the classification accuracy by nearly two percentage points under the ideal condition. Thus, by adding residual connection and attention mechanism, the model can extract the emotional features in the text better and improve the emotional discrimination ability. The public opinion of online media without effective control will have great security risks to social governance under the big data and IoT. The proposed method is of great help in analyzing NPO through the accurate analysis of Microblog text.

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Section: Introductionmentioning

confidence: 99%

“…ey tracked the situation of H1N1 influenza [14]. Zaidi et al [15] studied the Attribute-Based Access Control (ABAC) of web crawlers to facilitate unrestricted Microblog text data access [15].…”

Section: Introductionmentioning

confidence: 99%

Network Media Public Opinion and Social Governance Supported by the Internet-of-Things Big Data

Zhao

Miao

2022

Security and Communication Networks

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“…Since 2009, influenza A/H1N1pdm09 virus has been frequently isolated worldwide from pigs, the mixing vessel host for reassortment of influenza viruses, indicating the reintroduction to swine populations (Howden et al, 2009;Moreno et al, 2010;Pasma and Joseph, 2010;Pereda et al, 2010;Song et al, 2010;Sreta et al, 2010;Welsh et al, 2010;Holyoake et al, 2011;Kim et al, 2011). Intriguingly, the evolution pattern of the HA genes from A/H1N1pdm09 viruses circulating in humans and pigs are substantially different (Khalil et al, 2021), indicating the different impact of the ecology of both swine and human influenza A/H1N1pdm09 viruses. Also, this suggests the importance of continuous surveillance activities of SIVs in pigs to prevent the re-introduction of antigenically different variants from pigs to humans.…”

Section: Reverse Zoonosis Of Influenza A/h1n1pdm09 Viruses and Its Mo...mentioning

confidence: 99%

Zoonosis and zooanthroponosis of emerging respiratory viruses

Khalil,

Martinez-Sobrido,

Mostafa

2024

Front. Cell. Infect. Microbiol.

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Lung infections in Influenza-Like Illness (ILI) are triggered by a variety of respiratory viruses. All human pandemics have been caused by the members of two major virus families, namely Orthomyxoviridae (influenza A viruses (IAVs); subtypes H1N1, H2N2, and H3N2) and Coronaviridae (severe acute respiratory syndrome coronavirus 2, SARS−CoV−2). These viruses acquired some adaptive changes in a known intermediate host including domestic birds (IAVs) or unknown intermediate host (SARS-CoV-2) following transmission from their natural reservoirs (e.g. migratory birds or bats, respectively). Verily, these acquired adaptive substitutions facilitated crossing species barriers by these viruses to infect humans in a phenomenon that is known as zoonosis. Besides, these adaptive substitutions aided the variant strain to transmit horizontally to other contact non-human animal species including pets and wild animals (zooanthroponosis). Herein we discuss the main zoonotic and reverse-zoonosis events that occurred during the last two pandemics of influenza A/H1N1 and SARS-CoV-2. We also highlight the impact of interspecies transmission of these pandemic viruses on virus evolution and possible prophylactic and therapeutic interventions. Based on information available and presented in this review article, it is important to close monitoring viral zoonosis and viral reverse zoonosis of pandemic strains within a One-Health and One-World approach to mitigate their unforeseen risks, such as virus evolution and resistance to limited prophylactic and therapeutic interventions.

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“…Sequences were then processed to remove primers and low-quality reads and mapped to the reference genomes of SIV strain A/swine/Aichi/101/2018 (H1N1) (Acc. Num: MW269569-76) [19]. The SIV (H1N1) sequences determined in this study were submitted to the DNA Data Bank of Japan (DDBJ) under Acc.…”

Section: Determination Of the Full-length Sequence Of The Siv (H1n1)mentioning

confidence: 99%

Generation of a Porcine Cell Line Stably Expressing Pig TMPRSS2 for Efficient Isolation of Swine Influenza Virus

Tanaka,

Shofa,

Butlertanaka

et al. 2023

Pathogens

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Pigs are important animals for meat production but can carry several zoonotic diseases, including the Japanese encephalitis virus, Nipah virus, and influenza viruses. Several Orthomyxoviridae and Coronavirinae respiratory viruses require cleavage of envelope proteins to acquire viral infectivity and consequently, need a host protease or the addition of exogenous trypsin for efficient propagation. Host TMPRSS2 is a key protease responsible for viral cleavage. Stable expression of human TMPRSS2 in African green monkey-derived Vero cells can enhance the porcine epidemic diarrhea virus. However, considering the narrow host tropism of viruses, a porcine cell line expressing pig TMPRSS2 could be optimal for replicating pig-derived viruses. Herein, we generated and evaluated a pig-derived PK-15 cell line stably expressing pig TMPRSS2. This cell line markedly (>1000-fold) and specifically enhanced the growth of influenza viruses. Furthermore, we demonstrated the usefulness of a PK-15 cell line lacking the Stat2 gene with a stable expression of pig TMPRSS2 for efficient virus isolation from clinical samples in the presence of type I interferons. Therefore, PK-15 cells expressing pig TMPRSS2 could be a valuable and promising tool for virus isolation, vaccine production, and virological studies of TMPRSS2-dependent viruses.

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Variation in the HA antigenicity of A(H1N1)pdm09-related swine influenza viruses

Cited by 5 publications

References 56 publications

Network Media Public Opinion and Social Governance Supported by the Internet-of-Things Big Data

Network Media Public Opinion and Social Governance Supported by the Internet-of-Things Big Data

Zoonosis and zooanthroponosis of emerging respiratory viruses

Generation of a Porcine Cell Line Stably Expressing Pig TMPRSS2 for Efficient Isolation of Swine Influenza Virus

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