TY - JOUR
AU - Sullivan, Francis
AU - Tello, Agnes
AU - Rauchhaus, Petra
AU - Hernandez Santiago, Virginia
AU - Daly, Fergus
PY - 2022
DA - May
TI - Assessment of background levels of autoantibodies as a prognostic marker for severe SARS-CoV-2 infection
JO - Journal of Circulating Biomarkers
EP - 27
VL - 11
IS - 1
DO - https://doi.org/10.33393/jcb.2022.2337
AB - Background: Patients with more severe forms of SARS-CoV-2 exhibit activation of immunological cascades. Participants (current or ex-smokers with at least 20 years pack history) in a trial (Early Diagnosis of Lung Cancer, Scotland [ECLS]) of autoantibody detection to predict lung cancer risk had seven autoantibodies measured 5 years before the pandemic. This study compared the response to Covid infection in study participants who tested positive and negative to antibodies to tumour-associated antigens: p53, NY-ESO-1, CAGE, GBU4-5, HuD, MAGE A4 and SOX2.
PB - AboutScience
UR - http://hdl.handle.net/10023/25286
KW - Coronavirus (COVID-19)
KW - Alcohol, tobacco and drugs
ER