BACKGROUND: We evaluated a standardized interferon-γ (IFN-γ) release assay (IGRA) for detection of T-cell immune response after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or vaccination. METHODS: This prospective study included patients with coronavirus disease 2019 (COVID-19) with different severity of illness and follow-up (FU), vaccinated subjects, and healthy unvaccinated persons. SARS-CoV-2 T-cell response was measured using a specific quantitative IGRA in whole blood (Euroimmun, Germany) and TrimericS-IgG and neutralizing antibodies with validated serological platforms. Positivity of reverse transcription-polymerase chain reaction or vaccination was considered as the reference standard. RESULTS: A total of 239 individuals were included (152 convalescent, 54 vaccinated, and 33 uninfected unvaccinated). Overall sensitivity, specificity, and positive- and negative-predictive values (95% confidence interval) of the IGRA were 81.1% (74.9-86%), 90.9% (74.5-97.6%), 98.2% (94.5-99.5%), and 43.5% (31.8-55.9%), respectively. All vaccinated SARS-CoV-2-naive subjects had positive IGRA at 3 months. In convalescent subjects the magnitude of IFN-γ responses and IGRA accuracy varied according to disease severity and duration of FU, with the best performance in patients with severe COVID-19 at 3 months and the worst in those with mild disease at 12 months. The greatest contribution of IGRA to serological tests was observed in patients with mild disease and long-term FU (incremental difference, 30.4%). CONCLUSIONS: The IGRA was a reliable method of quantifying T-cell response after SARS-COV-2 infection or vaccination. In convalescent patients, the sensitivity is largely dependent on disease severity and time since primary infection. The assay is more likely to add clinical value to serology in patients with mild infections.
BACKGROUND: We evaluated a standardized interferon-γ (IFN-γ) release assay (IGRA) for detection of T-cell immune response after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or vaccination. METHODS: This prospective study included patients with coronavirus disease 2019 (COVID-19) with different severity of illness and follow-up (FU), vaccinated subjects, and healthy unvaccinated persons. SARS-CoV-2 T-cell response was measured using a specific quantitative IGRA in whole blood (Euroimmun, Germany) and TrimericS-IgG and neutralizing antibodies with validated serological platforms. Positivity of reverse transcription-polymerase chain reaction or vaccination was considered as the reference standard. RESULTS: A total of 239 individuals were included (152 convalescent, 54 vaccinated, and 33 uninfected unvaccinated). Overall sensitivity, specificity, and positive- and negative-predictive values (95% confidence interval) of the IGRA were 81.1% (74.9-86%), 90.9% (74.5-97.6%), 98.2% (94.5-99.5%), and 43.5% (31.8-55.9%), respectively. All vaccinated SARS-CoV-2-naive subjects had positive IGRA at 3 months. In convalescent subjects the magnitude of IFN-γ responses and IGRA accuracy varied according to disease severity and duration of FU, with the best performance in patients with severe COVID-19 at 3 months and the worst in those with mild disease at 12 months. The greatest contribution of IGRA to serological tests was observed in patients with mild disease and long-term FU (incremental difference, 30.4%). CONCLUSIONS: The IGRA was a reliable method of quantifying T-cell response after SARS-COV-2 infection or vaccination. In convalescent patients, the sensitivity is largely dependent on disease severity and time since primary infection. The assay is more likely to add clinical value to serology in patients with mild infections.
Authors: Thomas Marjot; Christiane S Eberhardt; Tobias Boettler; Luca S Belli; Marina Berenguer; Maria Buti; Rajiv Jalan; Mario U Mondelli; Richard Moreau; Daniel Shouval; Thomas Berg; Markus Cornberg Journal: J Hepatol Date: 2022-07-20 Impact factor: 30.083
Authors: Lu M Yang; Cristina Costales; Muthukumar Ramanathan; Philip L Bulterys; Kanagavel Murugesan; Joseph Schroers-Martin; Ash A Alizadeh; Scott D Boyd; Janice M Brown; Kari C Nadeau; Sruti S Nadimpalli; Aileen X Wang; Stephan Busque; Benjamin A Pinsky; Niaz Banaei Journal: J Clin Virol Date: 2022-06-11 Impact factor: 14.481
Authors: Giuliana X Medeiros; Greyce Luri Sasahara; Jhosiene Y Magawa; João Paulo S Nunes; Fernanda R Bruno; Andreia C Kuramoto; Rafael R Almeida; Marcelo A Ferreira; Guilherme P Scagion; Érika D Candido; Fabyano B Leal; Danielle B L Oliveira; Edison L Durigon; Roberto Carlos V Silva; Daniela S Rosa; Silvia B Boscardin; Verônica Coelho; Jorge Kalil; Keity S Santos; Edecio Cunha-Neto Journal: Front Immunol Date: 2022-03-01 Impact factor: 7.561
Authors: Leire Fernández-Ciriza; Álvaro González; José Luis Del Pozo; Alejandro Fernández-Montero; Francisco Carmona-Torre; Silvia Carlos; María Del Mar Sarasa; Gabriel Reina Journal: Sci Rep Date: 2022-10-07 Impact factor: 4.996