bioRxiv Science⌕ Search

Biology subjects

Rowles-Khalid, S.

Publications and source records attributed to Rowles-Khalid, S..

2 recordsLinked to original sources

Pseudotyped virus-based platform and structural analysis reveal potential cross-reactivity sites between influenza C and D viruses

Influenza C (ICV) and influenza D (IDV) viruses belong to the Orthomyxoviridae family and are classified in the genera Gammainfluenzavirus and Deltainfluenzavirus, respectively. Although the main reservoir of ICV is humans, IDV is mainly found in cattle. To date, the zoonotic potential of IDV has not been fully elucidated. ICV and IDV share about 50% homology at the genetic level, and both express hemagglutinin esterase fusion (HEF) glycoproteins on the surface for the dual purpose of binding the receptor and releasing new virions. Using pseudotyped viruses (PVs) in a pseudotyped virus-based microneutralisation assay (pMN), some bovine serum samples showed strong neutralisation of both ICV and IDV. In silico analyses were performed to explore the molecular basis of this phenomenon. HEF structures were recovered from the Protein Data Bank, epitopes were predicted using BepiPred, and sialic acid receptor docking was evaluated with HDOCK. Five potential epitopes were selected, and mutual substitutions of amino acid residues were introduced to generate mutant ICV and IDV HEFs and corresponding PVs. Although only mutant IDV PVs were successfully produced, a reference ICV antiserum showed high neutralising activity against one construct, indicating the exposure of an ICV-like antigenic site within the IDV framework. Herein we provide evidence consistent with the existence of antigenic sites shared between ICV and IDV, which could be exploited for cross-protective vaccine design, through integrated computational and experimental investigations.

immunology↗

Evolutionary rewiring of host metabolism and interferon signalling by SARS-CoV-2 variants

SARS-CoV-2 variants differ in transmissibility and immune evasion, but their effects on host-cell metabolism and signalling remain less defined. Using integrated transcriptomic, phosphoproteomic, and amino acid profiling in primary nasal epithelial cells, we compared early and late host responses to pre-Omicron variants (Alpha, Beta), Delta, and Omicron subvariants (BA.1, BA.5). Pre-Omicron strains broadly suppressed antiviral interferon-stimulated gene expression and reprogrammed metabolism by reducing mitochondrial oxidative phosphorylation and {beta}-oxidation. Delta infection was associated with extensive transcriptional and metabolic remodelling, characterised by activation of stress- and growth-related kinases and selective retention of biosynthetic amino acids, consistent with a host response to stress and viral modulation of interferon-associated signalling. In contrast, Omicron infection elicited a more restrained response dominated by cytokine and survival pathways, with limited metabolic activation and interferon suppression. Together, these findings suggest SARS-CoV-2 has progressively evolved toward a strategy that maintains efficient upper-airway replication while minimising epithelial stress and inflammation.

systems biology↗