bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.06.30.601403

Differential action modes of Neutrophil Extracellular Trap-targeted drugs define T cell responses in SARS-CoV-2 infection.

Abstract

Neutrophil extracellular traps (NETs) play a dual role in SARS-CoV-2 infection, aiding early immune defense but also contributing to lung damage. While NET targeting may improve clinical outcomes in SARS-CoV-2 infection, its impact on adaptive immunity, crucial for fighting the virus, remains unclear. Our study demonstrates that both recombinant human DNase (rhDNase), degrading NET structure, and GSK484, inhibiting NET formation, reduce lung NET concentration and improve clinical outcomes in infected mice, yet they differ in their influence on T cell responses. We show that rhDNase does not impact T cell responses, whereas GSK484 diminishes virus-specific T cell responses. In vitro, GSK484 decreases dendritic cell antigen presentation by impairing antigen uptake and reduces IL-2 signaling by affecting its production by T cells. In a model of lung inflammation, GSK484 diminishes antigen-specific T cell activation and proliferation, while rhDNase shows a potential to boost T cell responses via the presence of NET fragments that reduce T cell activation threshold. Our findings suggest that NET targeting with rhDNase or GSK484 holds therapeutic potential for treating SARS-CoV-2 infection, while their distinct modes of action shape T cell responses during the infection.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bonilha, C. S., Veras, F. P., Ramos, A. d. S., Gomes, G. F., Lemes, R. M. R., Arruda, E., Alves-Filho, J. C., Cunha, T. M., Cunha, F. d. Q.. 2024-07-01. Differential action modes of Neutrophil Extracellular Trap-targeted drugs define T cell responses in SARS-CoV-2 infection.. https://doi.org/10.1101/2024.06.30.601403

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Common viral infections seed regionally distinct resident memory T cells in the human CNS

T cells persist in the central nervous system (CNS) and can drive both protection and neurological disease. How these cells are organized in humans and what they recognize is largely unknown. Here, we profiled CD8 T cells across anatomically distinct CNS regions, obtained through on-site autopsies and temporal lobe resection surgeries, using single-cell RNA sequencing, paired T cell receptor sequencing, and DNA-barcoded tetramers. Resident memory T cells (TRM) specific for Epstein-Barr virus, cytomegalovirus, influenza A, and SARS-CoV-2 were identified across CNS compartments. Anatomical location was the strongest correlate of TRM cell state, with leptomeningeal cells adopting a cytokine-poised TRM program, whereas brain TRM cells were transcriptionally restrained. Cells of the same clonotype spanned tissues yet adopted local transcriptional states. Viral specificity added another layer of TRM heterogeneity with GZMK/GZMA-expressing EBV-specific populations and interferon-stimulated gene signatures in SARS-CoV-2 and Influenza A-specific cells. The human CNS thus harbors regionally distinct CD8+ TRM shaped by common viral exposures.

immunology↗

A regulatory T cell signature provides a shared molecular basis for the therapeutic window of opportunity in rheumatic disease

Rheumatic diseases, including rheumatoid arthritis (RA), spondyloarthritis (SpA) and osteoarthritis (OA), show distinct phenotypes yet respond to overlapping therapies, implicating shared immune mechanisms. In the Transimmunom cohort, we profiled peripheral blood from 240 individuals (47 healthy, 44 OA, 91 RA, 58 SpA) across deep immunophenotyping, immunoproteomics and Treg-Teff transcriptomics. Single-layer analyses revealed broader Treg than Teff remodeling, along with a shared pattern of reduced activated Tregs and expanded Helios+ Tregs across all diseases, alongside a decrease in functional Treg subpopulations, including CTLA4+ and CD45RA- Tregs. In RA specifically, LAG3+ Tregs were also expanded. Combining omics layers outperformed single-layer approaches for disease classification. Among individual layers, Treg transcriptomes were most discriminative, and integration uncovered disease-specific programs. Unsupervised clustering identified a cross-disease cluster independent of activity, treatment and age, mapping to early disease (<= years) and dominated by a Treg dysfunction-associated program. These results provide a biological rationale for the therapeutic "window of opportunity" concept and duration-stratified Treg-directed trials.

immunology↗

Inhibitory Fc Receptor sets a time limit on macrophage response to IgG

Antibodies engage both activating Fc Receptors and the inhibitory receptor Fc{gamma}RIIB. Why macrophages need a dedicated inhibitory receptor rather than simply tuning activating receptor signaling is unclear. Using DNA-based chimeric receptors and in silico modeling, we independently controlled activating and inhibitory Fc Receptors. We found that Fc{gamma}RIIB imposed a time limit on macrophage phagocytosis and ERK signaling. The time limit is due to activating Fc Receptors converting PI(4,5)P2 to PI(3,4,5)P3, which is subsequently converted to PI(3,4)P2 by Fc{gamma}RIIB. This leads to a pulse of active signaling, which is sufficient for phagocytosis of small bacteria-sized targets but not phagocytosis of large targets and TNF secretion. Unlike engaging Fc{gamma}RIIB, reducing activating Fc Receptor signaling decreased initiation of phagocytosis, the speed of PI(3,4,5)P3 generation, and the amplitude of ERK signaling. Our results demonstrate that Fc{gamma}RIIB controls the duration of IgG signaling, while the activating Fc Receptors control sensitivity.

immunology↗