COVID-19 neutrophils show elevated migration and NETosis, which is reduced by PI3K inhibition

Rational: Evidence of neutrophil dysfunction in COVID-19 is based on transcriptomics. Cell functions are interwoven pathways, so understanding the effect of COVID-19 across neutrophil function may identify therapeutic targets. We examined neutrophil phenotype and function in 41 hospitalised, non-ICU COVID-19 patients versus 23 age-matched controls (AMC) and 26 community acquired pneumonia (CAP) patients. Method(s): Isolated neutrophils underwent ex vivo analyses for migration, phagocytosis and NETosis, and the effect of PI3K inhibition. Circulating DNAse 1 activity and levels of cfDNA were measured. Result(s): Compared to AMC and CAP, COVID-19 neutrophils demonstrated elevated transmigration (p=0.0397, A) and NETosis (p=0.0366, B), but impaired phagocytosis (p=0.0236, C) associated with impaired ROS generation (p<0.0001). COVID-19 and CAP patients showed increased systemic markers of NETosis including increased cfDNA (p=0.0153) and impaired DNAse activity (p<0.0.001, D). Ex vivo inhibition of PI3K gamma and delta reduced NET release by COVID-19 neutrophils (p=0.0156). Conclusion(s): COVID-19 is associated with neutrophil dysfunction across all main effector functions, with elevated migration, impaired antimicrobial responses and elevated NETosis. These changes represent a clear mechanism for tissue damage and highlight that targeting neutrophil function via PI3k may help modulate COVID-19 severity. (Figure Presented).

PI3Kgamma inhibition reduces inflammation and promotes survival in cancer and SARS-CoV-2

Solid tumors are characterized by extensive immune suppressive inflammation, vascular leak, fibrosis and organ damage. Similarly, SARS-CoV-2 infections induce aberrant pulmonary and systemic inflammation, vascular leak, coagulation, fibrosis and fatal organ damage. We previously demonstrated that macrophages in solid tumors strongly expressed phosphatidylinositol 3-kinase gamma (PI3Kγ), a signaling protein that coordinately controls granulocyte and monocyte trafficking to tumors as well as wound-healing-type macrophage transcription in cancer and fibrosis. We also observed that macrophages in COVID-19 lungs strongly expressed PI3Kγ. To identify therapeutic strategies to suppress COVID-19-associated inflammation, we characterized lung tissue of COVID19 patients using multiplex immunohistochemistry and tissue transcriptomics. Lungs of deceased patients exhibited substantial infiltration by neutrophils and wound-healing macrophages, fibrosis and alveolar type II cell depletion. In animal models of lung inflammation, bacterial infections, viral infection and SARS-CoV-2 infection, PI3Kγ deletion or inhibition with the cancer therapeutic IPI-549 (eganelisib) suppressed pulmonary and systemic inflammation, reduced lung damage, and promoted survival. These studies demonstrate the essential role of PI3Kγ in inflammatory diseases as well as cancer and support the use of PI3Kγ inhibitors such as eganelisib to suppress inflammation and promote survival in pulmonary infections like SARS-CoV-2 and cancer.

Predicting the Molecular Mechanism of Sini Jia Renshen Decoction in Treating Severe COVID-19 Patients Based on Network Pharmacology and Molecular Docking

Objective: To explore the potential mechanism of Sini jia Renshen Decoction (SJRD) in the treatment of COVID-19 based on network pharmacology and molecular docking. Methods: The active compounds and potential therapeutic targets of SJRD were collected through the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). Then a string database was used to build a protein–protein interactions (PPI) network between proteins, and use the David database to perform gene ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on core targets. Then we used Cytoscape software to construct an active ingredients-core target-signaling pathway network, and finally the active ingredients of SJRD were molecularly docked with the core targets to predict the mechanism of SJRD in the treatment of COVID-19. Results: A total of 136 active compounds, 51 core targets and 93 signaling pathways were selected. Molecular docking results revealed that quercetin, 3,22-dihydroxy-11-oxo-delta(12)-oleanene-27-alpha-methoxycarbonyl-29-oic acid, 18α-hydroxyglycyrrhetic acid, gomisin B and ignavine had considerable binding ability with ADRB2, PRKACA, DPP4, PIK3CG and IL6. Conclusions: This study preliminarily explored the mechanism of multiple components，multiple targets，and multiple pathways of SJRD in the treatment of COVID-19 by network pharmacology．