Proceedings of the National Academy of SciencesImmunologyPeer-reviewed journal article
Polyunsaturated fatty acid-derived lipid mediator networks characterize COVID-19 severity and risk for critical illness
Maria Papadaki, Eleftherios Pavlos, Marc DubourdeauiD, Vincent Bailif, Kamal Badirou, Clémence A. GélyiD, Ioanna E. GalaniiD, Dimitris PapelisiD, Natalia Kamperi, Vasiliki TriantafylliaiD, Eleni SioutiiD, Maria L. SalagianniiD, Maria Manioudaki, Nikolaos PaschalidisiD, Giannis VatsellasiD, Evangelia KoukakiiD, Vasiliki RaptiiD, Dimitris ThanosiD, Nikoletta RovinaiD, Garyphallia PoulakouiD, Aurélie CobatiD, Jean‐Laurent CasanovaiD, Constantin TamvakopoulosiD, Evangelos AndreakosiD
Abstract
Severe COVID-19, caused by SARS-CoV-2 infection, is characterized by excessive inflammation leading to the development of pneumonia and acute respiratory distress syndrome. Bioactive lipid mediators (LMs) derived from {omega}6 and {omega}3 polyunsaturated fatty acids are central to the regulation of inflammation, controlling both its initiation and resolution. Still, their role in COVID-19 remains underexplored. By employing a holistic approach involving the analysis of white blood cell transcriptomes, targeted lipidomics, cytokine and immune cell profiling, across the spectrum of disease severity groups, including mild non-hospitalized patients and healthy individuals, we now show that LM networks are profoundly altered in COVID-19, correlate with inflammatory patterns, and stratify patients according to disease severity. Central to this are CYP450-derived LMs such as 20-HETE, lipid peroxidation metabolites such as iPF2a-VI, and lipoxygenase-derived LMs such as 12-HETE, all of which are major vasoactive mediators of inflammation. Among them, 20-HETE appears to be a promising prognostic biomarker for ICU admission and a potential therapeutic target for severe COVID-19 disease. Our study thus underscores the significance of LM networks in COVID-19 pathophysiology and sheds light into the broader mechanisms driving viral pneumonia in humans. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=158 SRC="FIGDIR/small/610123v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@6e406dorg.highwire.dtl.DTLVardef@47c9deorg.highwire.dtl.DTLVardef@1162488org.highwire.dtl.DTLVardef@b86ba3_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: bulk RNA-seq
- assay: metabolomics
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 1
- FWCI
- 0.00
- Field percentile
- 35th percentile
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