SARS-CoV-2 human challenge reveals single-gene blood transcriptional biomarkers that discriminate early and late phases of acute respiratory viral infections. (preprint)

Evaluation of host-response blood transcriptional signatures of viral infection have so far failed to test whether these biomarkers reflect different biological processes that may be leveraged for distinct translational applications. We addressed this question in the SARS-CoV-2 human challenge model. We found differential time profiles for interferon (IFN) stimulated blood transcriptional responses represented by measurement of single genes. MX1 transcripts correlated with a rapid and transient wave of type 1 IFN stimulated genes (ISG) across all cell types, which may precede PCR detection of replicative infection. Another ISG, IFI27, showed a delayed but sustained response restricted to myeloid peripheral blood mononuclear cells, attributable to gene and cell-specific epigenetic regulation. These findings were reproducible in diverse respiratory virus challenges, and in natural infection with SARS-CoV-2 or unselected respiratory viruses. The MX1 response achieved superior diagnostic accuracy in early infection, correlation with viral load and identification of virus culture positivity, with potential to stratify patients for time sensitive antiviral treatment. IFI27 achieved superior diagnostic accuracy across the time course of symptomatic infection. Compared to blood, measurement of these responses in nasal mucosal samples was less sensitive and did not discriminate between early and late phases of infection.

Evaluation of antibody testing for SARS-Cov-2 using ELISA and lateral flow immunoassays (preprint)

BackgroundThe COVID-19 pandemic caused >1 million infections during January-March 2020. There is an urgent need for reliable antibody detection approaches to support diagnosis, vaccine development, safe release of individuals from quarantine, and population lock-down exit strategies. We set out to evaluate the performance of ELISA and lateral flow immunoassay (LFIA) devices. MethodsWe tested plasma for COVID (SARS-CoV-2) IgM and IgG antibodies by ELISA and using nine different LFIA devices. We used a panel of plasma samples from individuals who have had confirmed COVID infection based on a PCR result (n=40), and pre-pandemic negative control samples banked in the UK prior to December-2019 (n=142). ResultsELISA detected IgM or IgG in 34/40 individuals with a confirmed history of COVID infection (sensitivity 85%, 95%CI 70-94%), vs. 0/50 pre-pandemic controls (specificity 100% [95%CI 93-100%]). IgG levels were detected in 31/31 COVID-positive individuals tested [≥]10 days after symptom onset (sensitivity 100%, 95%CI 89-100%). IgG titres rose during the 3 weeks post symptom onset and began to fall by 8 weeks, but remained above the detection threshold. Point estimates for the sensitivity of LFIA devices ranged from 55-70% versus RT-PCR and 65-85% versus ELISA, with specificity 95-100% and 93-100% respectively. Within the limits of the study size, the performance of most LFIA devices was similar. ConclusionsCurrently available commercial LFIA devices do not perform sufficiently well for individual patient applications. However, ELISA can be calibrated to be specific for detecting and quantifying SARS-CoV-2 IgM and IgG and is highly sensitive for IgG from 10 days following first symptoms.