Back to Search
Start Over
An immune-based biomarker signature is associated with mortality in COVID-19 patients
- Source :
- JCI Insight, Vol 6, Iss 1 (2021)
- Publication Year :
- 2021
- Publisher :
- American Society for Clinical investigation, 2021.
-
Abstract
- Immune and inflammatory responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contribute to disease severity of coronavirus disease 2019 (COVID-19). However, the utility of specific immune-based biomarkers to predict clinical outcome remains elusive. Here, we analyzed levels of 66 soluble biomarkers in 175 Italian patients with COVID-19 ranging from mild/moderate to critical severity and assessed type I IFN–, type II IFN–, and NF-κB–dependent whole-blood transcriptional signatures. A broad inflammatory signature was observed, implicating activation of various immune and nonhematopoietic cell subsets. Discordance between IFN-α2a protein and IFNA2 transcript levels in blood suggests that type I IFNs during COVID-19 may be primarily produced by tissue-resident cells. Multivariable analysis of patients’ first samples revealed 12 biomarkers (CCL2, IL-15, soluble ST2 [sST2], NGAL, sTNFRSF1A, ferritin, IL-6, S100A9, MMP-9, IL-2, sVEGFR1, IL-10) that when increased were independently associated with mortality. Multivariate analyses of longitudinal biomarker trajectories identified 8 of the aforementioned biomarkers (IL-15, IL-2, NGAL, CCL2, MMP-9, sTNFRSF1A, sST2, IL-10) and 2 additional biomarkers (lactoferrin, CXCL9) that were substantially associated with mortality when increased, while IL-1α was associated with mortality when decreased. Among these, sST2, sTNFRSF1A, IL-10, and IL-15 were consistently higher throughout the hospitalization in patients who died versus those who recovered, suggesting that these biomarkers may provide an early warning of eventual disease outcome.
- Subjects :
- COVID-19
Immunology
Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 23793708
- Volume :
- 6
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- JCI Insight
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.feaeec76ff49437f8d320c0de85e7c30
- Document Type :
- article
- Full Text :
- https://doi.org/10.1172/jci.insight.144455