Back to Search Start Over

Integrated miRNA/cytokine/chemokine profiling reveals immunopathological step changes associated with COVID-19 severity

Authors :
Madhvi Menon
Paul M. Kaye
Katherine Newling
Sean Knight
Julie Wilson
Dimitris Lagos
Joanne E. Konkel
Angela Simpson
Nathalie Signoret
John R. Grainger
Chris P Jagger
Elizabeth R. Mann
Tracy Hussell
Kara Filbey
David Kealy
Sally James
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Circulating microRNAs (miRNAs) are exceptional mechanism-based correlates of disease, yet their potential remains largely untapped in COVID-19. Here, we determined circulating miRNA and cytokine and chemokine (CC) profiles in 171 blood plasma samples from 58 hospitalised COVID-19 patients. Thirty-two miRNAs were differentially expressed in severe cases when compared to moderate and mild cases. These miRNAs and their predicted targets reflected key COVID-19 features including cell death and hypoxia. Compared to mild cases, moderate and severe cases were characterised by a global decrease in circulating miRNA levels. Partial least squares regression using miRNA and CC measurements allowed for discrimination of severe cases with greater accuracy (87%) than using miRNA or CC levels alone. Correlation analysis revealed severity group-specific associations between CC and miRNA levels. Importantly, the miRNAs that correlated with IL6 and CXCL10, two cardinal COVID-19-associated cytokines, were distinct between severity groups, providing a novel qualitative way to stratify patients with similar levels of proinflammatory cytokines but different disease severity. Integration of miRNA and CC levels with clinical parameters revealed severity-specific signatures associated with clinical hallmarks of COVID-19. Our study highlights the existence of severity-specific circulating CC/miRNA networks, providing insight into COVID-19 pathogenesis and a novel approach for monitoring COVID-19 progression.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........6380b4c7e2847c8dc98e769bf6ca1979