Project description:The recent SARS-CoV-2 omicron variant presented significant challenges to the global effort to counter the pandemic. SARS-CoV-2 is predicted to remain prevalent in the coming months, making the ability to identify SARS-CoV-2 variants imperative in understanding and controlling the pandemic. The predominant variant discovery method, genome sequencing, is time-consuming, insensitive, and expensive. Liquid chromatography-mass spectrometry (LC-MS) offers an exciting alternative detection modality provided that variant-containing peptide markers become well-established. This study demonstrates the potential to establish SARS-CoV-2 peptide markers by examining amino-acid variant-containing tryptic peptides, their MS fragmentation intensities, and their detection sensitivity in MS experiments. We have synthesized model tryptic peptides from of SARS-CoV-2 variants beta, gamma, delta, and omicron and evaluated their signal intensity, HCD spectra, and reverse phase retention time.
Project description:This experiment aims to profile polyclonal antibody binding profiles in serum from vaccinated animals relative to antibody function in a virus neutralization assay. Rabbits received three vaccinations with a DNA vaccine encoding the spike protein of the SARS-CoV-2 index strain. Serum samples were selected based on a three-tier (low, intermediate, and high) capacity to cross-neutralize SARS-CoV-2 strains with known neutralization resistance. Following normalization of total anti-spike IgG levels, serum of each animal (n=3) were evaluated for antibody binding to 10mer cyclic constrained peptides spanning the entire spike protein and regions with known SARS-CoV-2 variant of concern spike mutations.
Project description:hACE2 transgenic mice were infected with the original SARS-CoV-2 strain (B.1) and the Beta (B.1.351) variant. Lung and spleen samples were collected 1 day post infection (DPI), 3 DPI and 5 DPI, and mRNA was sequenced.
Project description:To explore the relationship between SARS-CoV-2 infection in different time before operation and postoperative main complications (mortality, main pulmonary and cardiovascular complications) 30 days after operation; To determine the best timing of surgery after SARS-CoV-2 infection.
Project description:Interplay between type I interferon (IFN) driven innate responses and viral antagonism strongly influences SARS-CoV-2 transmission and the COVID-19 disease course. Hence, variant adaptation includes diminished induction of IFN stimulated genes (ISG) and/or evasion of their effector functions. Exogenous IFN treatment “rewires” innate responses to drive virus elimination, yet therapeutic trials to date have been unremarkable. Resolving this paradox could translate to variant-agnostic innate immunotherapy. By contrast, oncolytic viruses (OV) exhibit profoundly attenuated innate antagonism, resulting in potent IFN responses despite the inherently immunosuppressive nature of tumour microenvironments. Moreover, OV only undergo lytic replication within innate-deficient malignant cells, and not in cells where sufficient innate responses exist. This, combined with previous studies showing that OV suppressed replication of underlying oncogenic viruses in tumours, we explored whether clinical grade oncolytic Orthoreovirus (Reo) superinfection could eliminate SARS-CoV-2 from immune-competent lung epithelial cell lines in the absence of toxicity. Reo exerted profound activation of innate responses, including when SARS-CoV-2 infection was already established, rewiring cells towards an antiviral state emulating that of Reo infection alone. Both intracellular and paracrine mechanisms induced ISG repertoires including multiple known anti-SARS-CoV-2 effectors, as well as others that remain unvalidated. Amongst these, we demonstrate the first direct evidence that MX2 and XAF1 restrict SARS-CoV-2 replication. Thus, with an excellent safety record, self-amplification, and respiratory tract tropism, we propose that Reo superinfection may provide a tractable alternative to recombinant cytokines for innate antiviral immunotherapy.
Project description:The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways