Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors

多组学分析揭示用于识别 COVID-19 进展者的早期免疫学指标

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作者:Katherine A Drake, Dimitri Talantov, Gary J Tong, Jack T Lin, Simon Verheijden, Samuel Katz, Jacqueline M Leung, Benjamin Yuen, Vinod Krishna, Michelle J Wu, Alex Sutherland, Sarah A Short, Pouya Kheradpour, Maxwell Mumbach, Kate Franz, Vladimir Trifonov, Molly V Lucas, James Merson, Charles C Kim; 

Abstract

The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a rapid response by the scientific community to further understand and combat its associated pathologic etiology. A focal point has been on the immune responses mounted during the acute and post-acute phases of infection, but the immediate post-diagnosis phase remains relatively understudied. We sought to better understand the immediate post-diagnosis phase by collecting blood from study participants soon after a positive test and identifying molecular associations with longitudinal disease outcomes. Multi-omic analyses identified differences in immune cell composition, cytokine levels, and cell subset-specific transcriptomic and epigenomic signatures between individuals on a more serious disease trajectory (Progressors) as compared to those on a milder course (Non-progressors). Higher levels of multiple cytokines were observed in Progressors, with IL-6 showing the largest difference. Blood monocyte cell subsets were also skewed, showing a comparative decrease in non-classical CD14-CD16+ and intermediate CD14+CD16+ monocytes. Additionally, in the lymphocyte compartment, CD8+ T effector memory cells displayed a gene expression signature consistent with stronger T cell activation in Progressors. Importantly, the identification of these cellular and molecular immune changes occurred at the early stages of COVID-19 disease. These observations could serve as the basis for the development of prognostic biomarkers of disease risk and interventional strategies to improve the management of severe COVID-19.

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