Newly Emergent Highly Pathogenic H5N9 Subtype Avian Influenza A Virus

TRIM21 restricts influenza A virus replication by ubiquitination-dependent degradation of M1

Tripartite motif-containing protein 21 (TRIM21), an E3 ubiquitin ligase, plays a critical role in the host antiviral response. However, the mechanism and antiviral spectrum of TRIM21 in influenza A virus (IAV) remain unclear. Here, we report that TRIM21 inhibits the replication of various IAV subtypes by targeting matrix protein 1 (M1) from H3/H5/H9, but not H1 and H7 M1. Mechanistically, TRIM21 binds to the residue R95 of M1 and facilitates K48 ubiquitination of M1 K242 for proteasome-dependent degradation, leading to the inhibition of H3, H5, and H9 IAV replication. Interestingly, the recombinant viruses with M1 R95K or K242R mutations were resistance to TRIM21 and exhibited more robust replication and severe pathogenicity. Moreover, the amino acid sequence M1 proteins, mainly from avian influenza such as H5N1, H7N9, H9N2, ranging from 1918 to 2022, reveals a gradual dominant accumulation of the TRIM21-driven R95K mutation when the virus jumps into mammals. Thus, TRIM21 in mammals' functions as a host restriction factor and drives a host adaptive mutation of influenza A virus.

Predictive analysis for pathogenicity classification of H5Nx avian influenza strains using machine learning techniques

Over the past decades, avian influenza (AI) outbreaks have been reported across different parts of the globe, resulting in large-scale economic and livestock loss and, in some cases raising concerns about their zoonotic potential. The virulence and pathogenicity of H5Nx (e.g., H5N1, H5N2) AI strains for poultry could be inferred through various approaches, and it has been frequently performed by detecting certain pathogenicity markers in their haemagglutinin (HA) gene. The utilization of predictive modeling methods represents a possible approach to exploring this genotypic-phenotypic relationship for assisting experts in determining the pathogenicity of circulating AI viruses. Therefore, the main objective of this study was to evaluate the predictive performance of different machine learning (ML) techniques for in-silico prediction of pathogenicity of H5Nx viruses in poultry, using complete genetic sequences of the HA gene. We annotated 2137 H5Nx HA gene sequences based on the presence of the polybasic HA cleavage site (HACS) with 46.33% and 53.67% of sequences previously identified as highly pathogenic (HP) and low pathogenic (LP), respectively. We compared the performance of different ML classifiers (e.g., logistic regression (LR) with the lasso and ridge regularization, random forest (RF), K-nearest neighbor (KNN), Naïve Bayes (NB), support vector machine (SVM), and convolutional neural network (CNN)) for pathogenicity classification of raw H5Nx nucleotide and protein sequences using a 10-fold cross-validation technique. We found that different ML techniques can be successfully used for the pathogenicity classification of H5 sequences with ∼99% classification accuracy. Our results indicate that for pathogenicity classification of (1) aligned deoxyribonucleic acid (DNA) and protein sequences, with NB classifier had the lowest accuracies of 98.41% (+/-0.89) and 98.31% (+/-1.06), respectively; (2) aligned DNA and protein sequences, with LR (L1/L2), KNN, SVM (radial basis function (RBF)) and CNN classifiers had the highest accuracies of 99.20% (+/-0.54) and 99.20% (+/-0.38), respectively; (3) unaligned DNA and protein sequences, with CNN's achieved accuracies of 98.54% (+/-0.68) and 99.20% (+/-0.50), respectively. ML methods show potential for regular classification of H5Nx virus pathogenicity for poultry species, particularly when sequences containing regular markers were frequently present in the training dataset.

A systemic review on medicinal plants and their bioactive constituents against avian influenza and further confirmation through in-silico analysis

Background

Avian influenza or more commonly known as bird flu is a widespread infectious disease in poultry. This review aims to accumulate information of different natural plant sources that can aid in combating this disease. Influenza virus (IV) is known for its ability to mutate and infect different species (including humans) and cause fatal consequences.

Methods

Total 33 plants and 4 natural compounds were identified and documented. Molecular docking was performed against the target viral protein neuraminidase (NA), with some plant based natural compounds and compared their results with standard drugs Oseltamivir and Zanamivir to obtain novel drug targets for influenza in chickens.

Results

It was seen that most extracts exhibit their action by interacting with viral hemagglutinin or neuraminidase and inhibit viral entry or release from the host cell. Some plants also interacted with the viral RNA replication or by reducing proinflammatory cytokines. Ethanol was mostly used for extraction. Among all the plants Theobroma cacao, Capparis Sinaica Veil, Androgarphis paniculate, Thallasodendron cillatum, Sinularia candidula, Larcifomes officinalis, Lenzites betulina, Datronia molis, Trametes gibbose exhibited their activity with least concentration (below 10 μg/ml). The dockings results showed that some natural compounds (5,7- dimethoxyflavone, Aloe emodin, Anthocyanins, Quercetin, Hemanthamine, Lyocrine, Terpenoid EA showed satisfactory binding affinity and binding specificity with viral neuraminidase compared to the synthetic drugs.

Conclusion

This review clusters up to date information of effective herbal plants to bolster future influenza treatment research in chickens. The in-silico analysis also suggests some potential targets for future drug development but these require more clinical analysis.

IFP35 as a promising biomarker and therapeutic target for the syndromes induced by SARS-CoV-2 or influenza virus

Previous studies have shown that the high mortality caused by viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus primarily results from complications of a cytokine storm. Therefore, it is critical to identify the key factors participating in the cytokine storm. Here we demonstrate that interferon-induced protein 35 (IFP35) plays an important role in the cytokine storm induced by SARS-CoV-2 and influenza virus infection. We find that the levels of serum IFP35 in individuals with SARS-CoV-2 correlates with severity of the syndrome. Using mouse model and cell assays, we show that IFP35 is released by lung epithelial cells and macrophages after SARS-CoV-2 or influenza virus infection. In addition, we show that administration of neutralizing antibodies against IFP35 considerably reduces lung injury and, thus, the mortality rate of mice exposed to viral infection. Our findings suggest that IFP35 serves as a biomarker and as a therapeutic target in virus-induced syndromes.

Long-lasting heterologous antibody responses after sequential vaccination with A/Indonesia/5/2005 and A/Vietnam/1203/2004 pre-pandemic influenza A(H5N1) virus vaccines

BACKGROUND

Avian influenza A(H5N1) viruses have caused sporadic infections in humans and thus they pose a significant global health threat. Among symptomatic patients the case fatality rate has been ca. 50%. H5N1 viruses exist in multiple clades and subclades and several candidate vaccines have been developed to prevent A(H5N1) infection as a principal measure for preventing the disease.

METHODS

Serum antibodies against various influenza A(H5N1) clade viruses were measured in adults by ELISA-based microneutralization and haemagglutination inhibition tests before and after vaccination with two different A(H5N1) vaccines in 2009 and 2011.

RESULTS

Two doses of AS03-adjuvanted A/Indonesia/5/2005 vaccine induced good homologous but poor heterologous neutralizing antibody responses against different clade viruses. However, non-adjuvanted A/Vietnam/1203/2004 booster vaccination in 2011 induced very strong and long-lasting homologous and heterologous antibody responses while homologous response remained weak in naïve subjects.

CONCLUSIONS

Sequential vaccination with two different A(H5N1) pre-pandemic vaccines induced long-lasting high level cross-clade immunity against influenza A(H5N1) strains, thus supporting a prime-boost vaccination strategy in pandemic preparedness plans.

HFE inhibits type I IFNs signaling by targeting the SQSTM1-mediated MAVS autophagic degradation

Iron metabolism is involved in numerous physiological processes such as erythropoiesis, oxidative metabolism. However, the in vivo physiological functions of the iron metabolism-related gene Hfe in immune response during viral infection remain poorly understood. Here, we identified 5 iron metabolism-associated genes specifically affected during RNA virus infection by a high-throughput assay and further found that HFE was a key negative regulator of RIG-I-like receptors (RLR)-mediated type I interferons (IFNs) signaling. RNA virus infection inhibited the binding of HFE to MAVS (mitochondrial antiviral signaling protein) and blocked MAVS degradation via selective autophagy. HFE mediated MAVS autophagic degradation by binding to SQSTM1/p62. Depletion of Hfe abrogated the autophagic degradation of MAVS, leading to the stronger antiviral immune response. These findings established a novel regulatory role of selective autophagy in innate antiviral immune response by the iron metabolism-related gene Hfe. These data further provided insights into the crosstalk among iron metabolism, autophagy, and innate immune response.Abbreviations: ATG: autophagy-related; BAL: bronchoalveolar lavage fluid; BMDMs: bone marrow-derived macrophages; CGAS: cyclic GMP-AMP synthase; CQ: chloroquine; Dpi: days post-infection; ELISA: enzyme-linked immunosorbent assay; GFP: green fluorescent protein; HAMP: hepcidin antimicrobial peptide; Hpi: hours post-infection; HJV: hemojuvelin BMP co-receptor; IFNs: interferons; IL6: interleukin 6; IRF3: interferon regulatory factor 3; ISRE: interferon-stimulated response element; Lipo: clodronate liposomes; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; MAVS: mitochondrial antiviral signaling protein; MEFs: mouse embryonic fibroblasts; SLC40A1/FPN1: solute carrier family 40 (iron-regulated transporter), member 1; flatiron; SQSTM1/p62: sequestosome 1; STAT1: signal transducer and activator of transcription 1; STING1/STING: stimulator of interferon response cGAMP interactor 1; TBK1: TANK-binding kinase 1; TFRC/TfR1: transferrin receptor; TNF/TNFα: tumor necrosis factor; WT: wild type.

A computationally designed H5 antigen shows immunological breadth of coverage and protects against drifting avian strains

Since the first identification of the H5N1 Goose/Guangdong lineage in 1996, this highly pathogenic avian influenza virus has spread worldwide, becoming endemic in domestic poultry. Sporadic transmission to humans has raised concerns of a potential pandemic and underscores the need for a broad cross-protective influenza vaccine. Here, we tested our previously described methodology, termed Computationally Optimized Broadly Reactive Antigen (COBRA), to generate a novel hemagglutinin (HA) gene, termed COBRA-2, that was based on H5 HA sequences from 2005 to 2006. The COBRA-2 HA virus-like particle (VLP) vaccines were used to vaccinate chickens and the immune responses were compared to responses elicited by VLP's expressing HA from A/whooper swan/Mongolia/244/2005 (WS/05), a representative 2005 vaccine virus from clade 2.2. To support this evaluation a hemagglutination inhibition (HAI) breadth panel was developed consisting of phylogenetically and antigenically diverse H5 strains in circulation from 2005 to 2006, as well as recent drift variants (2008 - 2014). We found that the COBRA-2 VLP vaccines elicited robust HAI titers against this entire breadth panel, whereas the VLP vaccine based upon the recommended WS/05 HA only elicited HAI responses against a subset of strains. Furthermore, while all vaccines protected chickens against challenge with the WS/05 virus, only the human COBRA-2 VLP vaccinated birds were protected (80%) against a recent drifted clade 2.3.2.1B, A/duck/Vietnam/NCVD-672/2011 (VN/11) virus. This is the first report to demonstrate seroprotective antibody responses against genetically diverse clades and sub-clades of H5 viruses and protective efficacy against a recent drifted variant using a globular head based design strategy.

Identification of avian influenza virus subtype H9N2 in chicken farms in Indonesia

Avian influenza virus subtype H9N2 (AIV-H9N2) has become established in domestic poultry in Asia and Africa. AIV-H9N2 has not been reported previously in Indonesia. Here we describe the presence of AIV-H9N2 in chicken farms in Indonesia. Ninety-nine cases were observed in various provinces in Indonesia. Clinical signs, pathologic lesions and egg production were recorded. Confirmation was made using virus isolation, reverse transcriptase PCR (RT-PCR), and sequencing. To construct hemaglutinin (HA) phylogeny, the secondary data of Eurasian lineages were downloaded from GenBank. For neuraminidase, five sequences with the highest similarities with every sequence found in this study were downloaded. Phylogeny was inferred using Neighbor-Joining method in MEGA6 package. Forty-nine AIV-H9N2-positive cases were observed, of which 35 were tested positive for AIV-H9N2 only. The age of the infected chickens was 43.17 ± 16.56 weeks, and their egg production was 35.85 ± 17.80% lower than before outbreak. BLAST search revealed that the nucleotide sequence of the HA-encoding gene identified in this study shared 98% sequence identity with that of A/Muscovy duck/Vietnam/LBM719/2014(H9N2), while its neuraminidase-encoding gene sequences shared 94%, 98%, and 100% identities with three different influenza viruses. The phylogeny shows that the HA of AIV-H9N2 found in this study forms distinct cluster with some Vietnam and China's sequence data. The NA sequence data form three distinct clusters. We conclude that AIV-H9N2 is widespread in many provinces in Indonesia. To lessen economic losses to the poultry industry, flock biosecurity and vaccination against this virus subtype should be implemented rapidly. Thorough and rigid AIV surveillance is paramount to prevent further veterinary and public health consequences of the circulation of this virus in Indonesia.

Epidemiology, Evolution, and Pathogenesis of H7N9 Influenza Viruses in Five Epidemic Waves since 2013 in China

H7N9 influenza viruses were first isolated in 2013 and continue to cause human infections. H7N9 infections represent an ongoing public health threat that has resulted in 1344 cases with 511 deaths as of April 9, 2017. This highlights the continued threat posed by the current poultry trade and live poultry market system in China. Until now, there have been five H7N9 influenza epidemic waves in China; however, the steep increase in the number of humans infected with H7N9 viruses observed in the fifth wave, beginning in October 2016, the spread into western provinces, and the emergence of highly pathogenic (HP) H7N9 influenza outbreaks in chickens and infection in humans have caused domestic and international concern. In this review, we summarize and compare the different waves of H7N9 regarding their epidemiology, pathogenesis, evolution, and characteristic features, and speculate on factors behind the recent increase in the number of human cases and sudden outbreaks in chickens. The continuous evolution of the virus poses a long-term threat to public health and the poultry industry, and thus it is imperative to strengthen prevention and control strategies.

Influenza A H5N1 and H7N9 in China: A spatial risk analysis

Background

Zoonotic avian influenza poses a major risk to China, and other parts of the world. H5N1 has remained endemic in China and globally for nearly two decades, and in 2013, a novel zoonotic influenza A subtype H7N9 emerged in China. This study aimed to improve upon our current understanding of the spreading mechanisms of H7N9 and H5N1 by generating spatial risk profiles for each of the two virus subtypes across mainland China.

Methods and findings

In this study, we (i) developed a refined data set of H5N1 and H7N9 locations with consideration of animal/animal environment case data, as well as spatial accuracy and precision; (ii) used this data set along with environmental variables to build species distribution models (SDMs) for each virus subtype in high resolution spatial units of 1km² cells using Maxent; (iii) developed a risk modelling framework which integrated the results from the SDMs with human and chicken population variables, which was done to quantify the risk of zoonotic transmission; and (iv) identified areas at high risk of H5N1 and H7N9 transmission. We produced high performing SDMs (6 of 8 models with AUC > 0.9) for both H5N1 and H7N9. In all our SDMs, H7N9 consistently showed higher AUC results compared to H5N1, suggesting H7N9 suitability could be better explained by environmental variables. For both subtypes, high risk areas were primarily located in south-eastern China, with H5N1 distributions found to be more diffuse and extending more inland compared to H7N9.

Conclusions

We provide projections of our risk models to public health policy makers so that specific high risk areas can be targeted for control measures. We recommend comparing H5N1 and H7N9 prevalence rates and survivability in the natural environment to better understand the role of animal and environmental transmission in human infections.

Genotyping and detection of common avian and human origin-influenza viruses using a portable chemiluminescence imaging microarray

Background

Influenza viruses are divided into three types, A, B, and C. Human influenza A and B viruses can cause seasonal epidemics, but influenza C causes only a mild respiratory illness. Influenza A virus can infect various host species. In 2013, human-infectious avian influenza A (H7N9) was first reported in China. By the second week of 2014, there were 210 laboratory-confirmed human cases in the country, and the mortality rate eventually reached 22 %. Rapid and accurate diagnosis of influenza viruses is important for clinical management and epidemiology.

Methods

In this assay, a cost-effective chemiluminescence (CL) detection oligonucleotide microarray was developed to genotype and detect avian influenza A (H7N9), avian influenza A (H5N1), 2009 influenza A (H1N1), seasonal influenza A (H1N1), and seasonal influenza A (H3N2). Influenza A viruses and influenza B viruses were also generally detected using this microarray.

Results

The results of detection of 40 cultivated influenza virus strains showed that the microarray was able to distinguish the subtypes of these influenza viruses very well. The microarray possessed similar or 10 fold higher limit of detection than the real-time RT-PCR method. Sixty-six clinical swab samples were detected using this microarray and verified with real time RT-PCR to evaluate the efficiency of this microarray for clinical testing.

Conclusions

A reliable CL detection oligonucleotide microarray had been developed to genotype and detected these influenza viruses.

Diversity and evolution of avian influenza viruses in live poultry markets, free-range poultry and wild wetland birds in China

The wide circulation of novel avian influenza viruses (AIVs) highlights the risk of pandemic influenza emergence in China. To investigate the prevalence and genetic diversity of AIVs in different ecological contexts, we surveyed AIVs in live poultry markets (LPMs), free-range poultry and the wetland habitats of wild birds in Zhejiang and Hubei provinces. Notably, LPMs contained the highest frequency of AIV infection, and the greatest number of subtypes (n = 9) and subtype co-infections (n = 14), as well as frequent reassortment, suggesting that they play an active role in fuelling AIV transmission. AIV-positive samples were also identified in wild birds in both provinces and free-range poultry in one sampling site close to a wetland region in Hubei. H9N2, H7N9 and H5N1 were the most commonly sampled subtypes in the LPMs from Zhejiang, whilst H5N6 and H9N2 were the dominant subtypes in the LPMs from Hubei. Phylogenetic analyses of the whole-genome sequences of 43 AIVs revealed that three reassortant H5 subtypes were circulating in LMPs in both geographical regions. Notably, the viruses sampled from the wetland regions and free-range poultry contained complex reassortants, for which the origins of some segments were unclear. Overall, our study highlights the extent of AIV genetic diversity in two highly populated parts of central and south-eastern China, particularly in LPMs, and emphasizes the need for continual surveillance.