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Assessment of background levels of autoantibodies as a prognostic marker for severe SARS-CoV-2 infection

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Sullivan_2022_JCB_Background_autoantibodies_prognostic_marker_severe_SARS_CoV_2_infection_CC.pdf (293.5Kb)
Date
03/05/2022
Author
Sullivan, Francis
Tello, Agnes
Rauchhaus, Petra
Hernandez Santiago, Virginia
Daly, Fergus
Keywords
COVID-19
Current or ex-smokers
Lung cancer
Mortality prediction
Serum biomarkers
QR180 Immunology
3rd-DAS
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Abstract
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. Methods : Autoantibody data from the ECLS study was deterministically linked to the EAVE II database, a national, real-time prospective cohort using Scotland’s health data infrastructure, to describe the epidemiology of SARS-CoV-2 infection, patterns of healthcare use and outcomes. The strength of associations was explored using a network algorithm for exact contingency table significance testing by permutation. Results : There were no significant differences discerned between SARS-CoV-2 test results and EarlyCDT-Lung test results (p = 0.734). An additional analysis of intensive care unit (ICU) admissions detected no significant differences between those who tested positive and negative. Subgroup analyses showed no difference in COVID-19 positivity or death rates amongst those diagnosed with chronic obstructive pulmonary disease (COPD) with positive and negative EarlyCDT results. Conclusions : This hypothesis-generating study demonstrated no clinically valuable or statistically significant associations between EarlyCDT positivity in 2013-15 and the likelihood of SARS-CoV-2 positivity in 2020, ICU admission or death in all participants (current or ex-smokers with at least 20 years pack history) or in those with COPD or lung cancer.
Citation
Sullivan , F , Tello , A , Rauchhaus , P , Hernandez Santiago , V & Daly , F 2022 , ' Assessment of background levels of autoantibodies as a prognostic marker for severe SARS-CoV-2 infection ' , Journal of Circulating Biomarkers , vol. 11 , pp. 24-27 . https://doi.org/10.33393/jcb.2022.2337
Publication
Journal of Circulating Biomarkers
Status
Peer reviewed
DOI
https://doi.org/10.33393/jcb.2022.2337
ISSN
1849-4544
Type
Journal article
Rights
Copyright © 2022 The Authors. This article is published by AboutScience and licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Commercial use is not permitted and is subject to Publisher’s permissions
Description
This project was funded by The Lung Foundation.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/25286

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