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Self-sustaining IL-8 loops drive a prothrombotic neutrophil phenotype in severe COVID-19
Rainer Kaiser, … , Leo Nicolai, Konstantin Stark
Rainer Kaiser, … , Leo Nicolai, Konstantin Stark
Published August 17, 2021
Citation Information: JCI Insight. 2021;6(18):e150862. https://doi.org/10.1172/jci.insight.150862.
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Research Article COVID-19 Vascular biology

Self-sustaining IL-8 loops drive a prothrombotic neutrophil phenotype in severe COVID-19

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Abstract

Neutrophils provide a critical line of defense in immune responses to various pathogens, inflicting self-damage upon transition to a hyperactivated, procoagulant state. Recent work has highlighted proinflammatory neutrophil phenotypes contributing to lung injury and acute respiratory distress syndrome (ARDS) in patients with coronavirus disease 2019 (COVID-19). Here, we use state-of-the art mass spectrometry–based proteomics and transcriptomic and correlative analyses as well as functional in vitro and in vivo studies to dissect how neutrophils contribute to the progression to severe COVID-19. We identify a reinforcing loop of both systemic and neutrophil intrinsic IL-8 (CXCL8/IL-8) dysregulation, which initiates and perpetuates neutrophil-driven immunopathology. This positive feedback loop of systemic and neutrophil autocrine IL-8 production leads to an activated, prothrombotic neutrophil phenotype characterized by degranulation and neutrophil extracellular trap (NET) formation. In severe COVID-19, neutrophils directly initiate the coagulation and complement cascade, highlighting a link to the immunothrombotic state observed in these patients. Targeting the IL-8–CXCR-1/-2 axis interferes with this vicious cycle and attenuates neutrophil activation, degranulation, NETosis, and IL-8 release. Finally, we show that blocking IL-8–like signaling reduces severe acute respiratory distress syndrome of coronavirus 2 (SARS-CoV-2) spike protein–induced, human ACE2–dependent pulmonary microthrombosis in mice. In summary, our data provide comprehensive insights into the activation mechanisms of neutrophils in COVID-19 and uncover a self-sustaining neutrophil–IL-8 axis as a promising therapeutic target in severe SARS-CoV-2 infection.

Authors

Rainer Kaiser, Alexander Leunig, Kami Pekayvaz, Oliver Popp, Markus Joppich, Vivien Polewka, Raphael Escaig, Afra Anjum, Marie-Louise Hoffknecht, Christoph Gold, Sophia Brambs, Anouk Engel, Sven Stockhausen, Viktoria Knottenberg, Anna Titova, Mohamed Haji, Clemens Scherer, Maximilian Muenchhoff, Johannes C. Hellmuth, Kathrin Saar, Benjamin Schubert, Anne Hilgendorff, Christian Schulz, Stefan Kääb, Ralf Zimmer, Norbert Hübner, Steffen Massberg, Philipp Mertins, Leo Nicolai, Konstantin Stark

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Figure 4

COVID-19 neutrophils are characterized by IL-8–induced degranulation and drive a systemic prothrombotic phenotype.

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COVID-19 neutrophils are characterized by IL-8–induced degranulation and...
(A) NETing and degranulated neutrophils as percentage of all neutrophils with control treatment of IL-8. Paired 2-sided Student’s t test. (B) Representative images of control and IL-8 treated neutrophils. Stars show degranulation, arrows NETs. Scale bar: 10 μm. ALPL, alkaline phosphatase; MPO, myeloperoxidase. (C) Heatmap of mean azurophilic granule protein abundance by group. (D) Box plot of overall granule score calculated from log-scaled abundance values (see methods) by group. One-way ANOVA with post hoc Tukey’s multiple comparisons test between all groups. (E) Box plots of all 4 granule scores calculated from log-scaled abundance values (see Methods) by group. Two-sided unpaired Student’s t test between controls and intermediate or severe COVID-19. (F) Linear regression of clinically measured D-dimer [μg/mL] and azurophilic granule score of neutrophil proteins of patients with COVID-19. (G) Heat map mean of coagulation cascade protein abundance by group. (H) Correlation matrix of clinically measured D-dimer and Horowitz index and neutrophil protein abundance of patients with COVID-19. Pearson r is shown in each box and as a heatmap, P values is in brackets. (I) Linear regression of D-dimer [μg/mL] and neutrophil fibrinogen protein abundance of patients with COVID-19. (F and I) P value signifies slope significantly non-zero. 95% confidence interval shown in gray. n = 5 severe and 9 intermediate patients with COVID-19. (C–E and G) n = 9 healthy control, n = 5 pneumonic controls, n = 5 severe COVID-19, and n = 9 intermediate COVID-19. *P < 0.05, **P < 0.01, ***P < 0.001.

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