Emergence and antibody evasion of BQ and BA.2.75 SARS-CoV-2 sublineages in the face of maturing antibody breadth at the population level (preprint)

The Omicron era of the COVID-19 pandemic commenced at the beginning of 2022 and whilst it started with primarily BA.1, it was latter dominated by BA.2 and related sub-lineages. Over the course of 2022, we monitored the potency and breadth of antibody neutralization responses to many emerging variants at two levels: (i) we tracked over 400,000 U.S. plasma donors over time through various vaccine booster roll outs and Omicron waves using antibody pools. (ii) we mapped the antibody response at the individual level using blood from strigently curated vaccine and convalescent cohorts. In pooled antibody samples, we observed the maturation of neutralization breadth to Omicron variants over time through continuing vaccine and infection waves. Importantly, in many cases we observed increased antibody breadth to variants that were yet to be in circulation. Resolution of viral neutralisation at the cohort level supported equivalent coverage across prior and emerging variants with emerging isolates BQ.1.1, XBB.1 and BR.2.1 the most evasive. Further, these emerging variants were resistant to Evusheld, whilst neutralization resistance to Sotrovimab was restricted to BQ.1.1 and further supported by lack of Spike glycoprotein binding to this variant. An outgrowth advantage through better utilization of TMPRSS2 was observed across BQ lineages and not those derived from BA.2.75. We conclude at this current point in time that variants derived from BQ lineages can evade antibodies at levels equivalent to their most evasive BA.2.75 counterparts but sustain an entry phenotype that would promote an additional outgrowth advantage.

IFI27 transcription is an early predictor for COVID-19 outcomes; a multi-cohort observational study (preprint)

Background. Robust biomarkers that predict disease outcomes amongst COVID19 patients are necessary for both patient triage and resource prioritisation. Numerous candidate biomarkers have been proposed for COVID19. However, at present, there is no consensus on the best diagnostic approach to predict outcomes in infected patients. Moreover, it is not clear whether such tools would apply to other potentially pandemic pathogens and therefore of use as stockpile for future pandemic preparedness. Methods. We conducted a multi cohort observational study to investigate the biology and the prognostic role of interferon alpha inducible protein 27 (IFI27) in COVID19 patients. Findings. We show that IFI27 is expressed in the respiratory tract of COVID19 patients and elevated IFI27 expression is associated with the presence of a high viral load. We further demonstrate that systemic host response, as measured by blood IFI27 expression, is associated with COVID19 severity. For clinical outcome prediction (e.g. respiratory failure), IFI27 expression displays a high positive (0.83) and negative (0.95) predictive value, outperforming all other known predictors of COVID19 severity. Furthermore, IFI27 is upregulated in the blood of infected patients in response to other respiratory viruses. For example, in the pandemic H1N1/09 swine influenza virus infection, IFI27 like genes were highly upregulated in the blood samples of severely infected patients. Interpretation. These data suggest that prognostic biomarkers targeting the family of IFI27 genes could potentially supplement conventional diagnostic tools in future virus pandemics, independent of whether such pandemics are caused by a coronavirus, an influenza virus or another as yet to be discovered respiratory virus.