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Iqbal, M. J.

Publications and source records attributed to Iqbal, M. J..

2 recordsLinked to original sources

The canine respiratory epithelium is a permissive ecosystem for influenza interspecies transmission and emergence

The outcome of virus spillover ranges from dead-end infections to pandemics and is underpinned by host-pathogen interactions as well as evolutionary and epidemiological processes. The emergence of novel influenza A viruses (IAVs) has been associated with reassortment events involving multiple species, highlighting the importance of reservoir and intermediate hosts in viral emergence. Highly pathogenic H5N1 IAVs of the 2.3.4.4b genotype have caused a panzootic affecting a broad range of mammals. The role of dogs--arguably the most popular companion animal and a natural host of IAVs--in the ecology of IAVs under this new zooepidemiological scenario is unknown. To address this, we characterised the glycome of the dog respiratory epithelium, infected canine tracheal explants with multiple IAVs (including canine H3N2 and H3N8, equine H3N8, avian H3N8 and H5N1, swine H1N1, human H1N1 and H3N2, and bovine H5N1 viruses), and determined their cellular tropism. We show that the respiratory tract of dogs presents abundant sialylated glycans known to act as IAV receptors. Further, most IAVs (including 2.3.4.4b viruses) infected and replicated in dog tracheas, targeting mainly ciliated cells. Serological testing showed evidence of influenza spillover infections in dogs from the UK. Overall, our results show that the canine respiratory tract can provide a suitable environment for the generation of new IAVs. Given the multi-host contact networks of dogs in nature, they could act as recipients, bridging hosts, and/or mixing vessels for multiple IAV lineages, playing a central role in the ecology of influenza emergence.

microbiology↗

Designing epitope-based vaccines against Nipah virus Glyco and Fusion proteins using integrated immunoinformatics and structural modeling techniques

Nipah virus (NiV) is a re-emerging zoonotic virus belonging to the Paramyxoviridae family that results in significant neurological damage and raises fatality rates. NiV is classified as a stage III pathogen with a high likelihood of transmission to humans, causing outbreaks intermittently and without any predictable pattern. In Bangladesh, outbreaks of NiV have happened every year since 2001. Even though the disease is severe, no antiviral medications exist for NiV infections. As a consequence, developing a vaccine is crucial. The present research aims to predict an effective epitope-based vaccine by applying immunoinformatic techniques against the fusion and glycoprotein of the Nipah virus. Fusion and glycoproteins were obtained from the UniProt protein database and screened for the T and B cell epitopes using the IEDB and ABCpred servers. Moreover, the constructed 3D structure of the NiV vaccine was occupied with Toll-like receptor 4 for molecular docking and dynamic (MD) simulation studies. Finally, the vaccine design was validated for expression in the PET28a (+) vector of Escherichia coli, and immunological simulations were also conducted. After determination of the allergenicity, antigenicity, and toxicity, the non-allergenic, nontoxic, antigenic, and immunogenic epitopes were used to construct the vaccine with adjuvants and an appropriate linker, including AAY, GPGPG, and KK. The constructed NiV vaccine was confirmed based on its physicochemical properties and docking scores for further analysis. The MD simulations indicated a stabilized structure and increased duration of epitope visibility, indicating strong immune responses. Furthermore, codon optimization and in silico cloning were used to verify bacterial expression of the developed NiV vaccine in E. coli. The results showed that NiV can increase immune responses against the Nipah virus. Furthermore, in vitro and in vivo research and clinical studies are recommended to establish the findings of this study.

immunology↗