The SARS-CoV-2 Omicron sub-variant BA.2.86 is attenuated in hamsters (preprint)

SARS-CoV-2 variants have emerged throughout the COVID-19 pandemic. There is a need to risk-assess newly emerged variants in near "real-time" to estimate their potential threat to public health. The recently emerged Omicron sub-variant BA.2.86 raised concerns as it carries a high number of mutations compared to its predecessors. Here, we assessed the virulence of BA.2.86 in hamsters. We compared the pathogenesis of BA.2.86 and BA.2.75, as the latter is one of the most virulent Omicron sub-variants in this animal model. Using digital pathology pipelines, we quantified the extent of pulmonary lesions measuring T cell and macrophage infiltrates, in addition to alveolar epithelial hyperplasia. We also assessed body weight loss, clinical symptoms, virus load in oropharyngeal swabs, and virus replication in the respiratory tract. Our data show that BA.2.86 displays an attenuated phenotype in hamsters, suggesting that it poses no greater risk to public health than its parental Omicron sub-variants. Article summary lineThe newly emerged Omicron sub-variant BA.2.86 is attenuated in hamsters.

Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning (preprint)

SARS-CoV-2 has continued to evolve throughout the COVID-19 pandemic, giving rise to multiple variants of concern (VOCs) with different biological properties. As the pandemic progresses, it will be essential to test in near real time the potential of any new emerging variant to cause severe disease. BA.1 (Omicron) was shown to be attenuated compared to the previous VOCs like Delta, but it is possible that newly emerging variants may regain a virulent phenotype. Hamsters have been proven to be an exceedingly good model for SARS-CoV-2 pathogenesis. Here, we aimed to develop robust quantitative pipelines to assess the virulence of SARS-CoV-2 variants in hamsters. We used various approaches including RNAseq, RNA in situ hybridization, immunohistochemistry, and digital pathology, including software assisted whole section imaging and downstream automatic analyses enhanced by machine learning, to develop methods to assess and quantify virus-induced pulmonary lesions in an unbiased manner. Initially, we used Delta and Omicron to develop our experimental pipelines. We then assessed the virulence of recent Omicron sub-lineages including BA.5, XBB, BQ.1.18, BA.2 and BA.2.75. We show that in experimentally infected hamsters, accurate quantification of alveolar epithelial hyperplasia and macrophage infiltrates represent robust markers for assessing the extent of virus-induced pulmonary pathology, and hence virus virulence. In addition, using these pipelines, we could reveal how some Omicron sub-lineages (e.g., BA.2.75) have regained virulence compared to the original BA.1. Finally, to maximise the utility of the digital pathology pipelines reported in our study, we developed an online repository containing representative whole organ histopathology sections that can be visualised at variable magnifications (https://covid-atlas.cvr.gla.ac.uk). Overall, this pipeline can provide unbiased and invaluable data for rapidly assessing newly emerging variants and their potential to cause severe disease.