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Accuracy and real life performance of a novel interferon-γ release assay for the detection of SARS-CoV2 specific T cell response

Authors :
Daniela Huzly
Marcus Panning
Franziska Smely
Martin Enders
Johanna Komp
Valeria Falcone
Daniel Steinmann
Source :
Journal of Clinical Virology
Publication Year :
2021

Abstract

Background The reliable detection of T cell response to COVID-19 or COVID-19 vaccination is important for individual patient care and for monitoring the immune response e.g. in COVID-19 vaccine trials in a standardized fashion. Objectives and study design We used blood samples from health care workers (HCW) with or without history of COVID-19 to define test accuracy of a novel interferon-γ release assay (IGRA). For a real-life performance evaluation, we analysed interferon-γ response to complete COVID-19 vaccination in HCW receiving homologous or heterologous vaccination regimens and in patients receiving immunosuppressive or immune modulating therapies. Results The assay had a specificity of 100%. Sensitivity of the IGRA to detect past infection was 72.2% after infection more than 5 months ago and 93.8% after COVID-19 up to 5 months ago. Quantitative results showed significant differences between first and second vaccine dose, but no difference between homologous and heterologous vaccination regimen. Immunocompromised patients often had no immune response or isolated T cell or antibody response to complete vaccination. Conclusions The novel IGRA proved to be a highly specific tool to detect SARS-CoV-2 specific T cell response to COVID-19 as well as COVID-19 vaccination, with sensitivity getting lower over time. In perspective, it may serve as a standardized tool in COVID-19 vaccine trials and in clinical care of immunosuppressed patients.<br />Graphical abstract Image, graphical abstract

Details

ISSN :
18735967
Volume :
148
Database :
OpenAIRE
Journal :
Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
Accession number :
edsair.doi.dedup.....a6468d3f022e817f5f817c3fe6dd107e