Vδ2 T cell activation by malaria is enhanced in second infection via the cell extrinsic cytokine milieu
Dooley, N. L.; Pava, Z.; Andrew, D.; Stevens, N. E.; Frame, T.; Loughland, J. R.; Soon, M. S. F.; Oyong, D.; Rivera, F. d. L.; Mukhiya, R.; Hamelink, J.; Bukali, L.; Engel, J.; Ryan, F. J.; Lynn, D. J.; Kamya, M. R.; Ssewanyana, I.; Webster, R.; McCarthy, J. S.; Barber, B. E.; Lopez, J. A.; Engwerda, C.; Boyle, M. J.
Show abstract
{gamma}{delta} T cells play critical roles in innate immunity to Plasmodium falciparum malaria, yet their functional heterogeneity and memory-like dynamics during first and subsequent infections remain poorly defined. Using longitudinal single-cell RNA sequencing, ex vivo phenotyping and in vitro functional analysis of {gamma}{delta} T cells in controlled human malaria infection (CHMI), we dissect their activation mechanisms and functions. During first infection, V{delta}2 T cells dominated the responses, expanding into inflammatory and cytotoxic cells. Despite upregulation of antigen-presenting-like markers and CD16, V{delta}2 T cell activation remained TCR-dependent, and these cells had no capacity to phagocytose parasites nor present antigen to CD4+ T cells. Leveraging a Phase I clinical study of type I IFN signalling blockade with JAK2 inhibitor ruxolitinib in CHMI, including rechallenge, we show that V{delta}2 T cell activation is dependent on JAK/STAT signalling. In second malaria infection V{delta}2 T cell responses are memory-like, with higher and more rapid activation, and robust induction of cytotoxic and activated terminal effector memory phenotypes. These memory-like cell responses were linked to cell-extrinsic factors, with increased systemic inflammation during second infection associated with enhanced V{delta}2 T cell activation. Mechanistically we demonstrate that cytokines IL-12, IL-15 and IL-18, synergize with TCR-dependent activation by malaria parasites to enhance V{delta}2 T cell responses. Memory-like V{delta}2 T cells in second infection were not associated with parasite control but instead linked to inflammation and markers of disease severity. Together, these data identify key mechanisms of V{delta}2 T cells activation and highlight that therapeutically targeting these cells may benefit immunopathology without compromising parasite control during malaria.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- CD4+ T cells display a spectrum of recall dynamics during re-infection with malaria parasites. 97%
- Inducible nitric oxide synthase (iNOS) is necessary for GBP-mediated T. gondii restriction in murine macrophages via vacuole nitration and intravacuolar network collapse 96%
- New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania 96%
Similar papers in this journal
- Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen 96%
- Plasmodium falciparum adapts its investment into replication versus transmission according to the host environment 96%
- Chromatin conformation dynamics during CD4+ T cell activation implicates autoimmune disease-associated genes and regulatory elements 96%
Similar papers in this journal
- The PfAP2-HS transcription factor protects malaria parasites from febrile temperatures 95%
- Diverse phage defence systems define West African South American pandemic Vibrio cholerae 94%
- Cysteine dependence in Lactobacillus iners constitutes a novel therapeutic target to modify the vaginal microbiota 94%
Similar papers in this journal
- The legacy of maternal SARS-CoV-2 infection on the immunology of the neonate 95%
- Restriction of innate Tγδ17 cell plasticity by an AP-1 regulatory axis 95%
- A novel mouse model based on intersectional genetics enables unambiguous in vivo discrimination between plasmacytoid and other dendritic cells and their comparative characterization 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.