Low-dose IL-2 selectively activates subsets of CD4+ Tregs and NK cells.
By M. Hirakawa, T. R. Matos, Hongye Liu, J. Koreth, Haesook T. Kim, Nicole E. Paul, K. Murase, J. Whangbo, Ana C Alho, S. Nikiforow and 9 more. 2016
137 citations recorded by the source corpus.
CD4+ regulatory T cells (CD4Tregs) play a critical role in the maintenance of immune tolerance and prevention of chronic graft-versus-host disease (GVHD) after allogeneic hematopoietic stem cell transplantation. IL-2 supports the proliferation and survival of CD4Tregs and previous studies have demonstrated that IL-2 induces selective expansion of CD4Tregs and improves clinical manifestations of chronic GVHD. However, mechanisms for selective activation of CD4Tregs and the effects of low-dose IL-2 on other immune cells are not well understood. Using mass cytometry, we demonstrate that low concentrations of IL-2 selectively induce STAT5 phosphorylation in Helios+ CD4Tregs and CD56brightCD16- NK cells in vitro. Preferential activation and expansion of Helios+ CD4Tregs and CD56brightCD16- NK cells was also demonstrated in patients with chronic GVHD receiving low-dose IL-2. With prolonged IL-2 treatment for 48 weeks, phenotypic changes were also observed in Helios- CD4Tregs. The effects of low-dose IL-2 therapy on conventional CD4+ T cells and CD8+ T cells were limited to increased expression of PD-1 on effector memory T cells. These studies reveal the selective effects of low-dose IL-2 therapy on Helios+ CD4Tregs and CD56bright NK cells that constitutively express high-affinity IL-2 receptors as well as the indirect effects of prolonged exposure to low concentrations of IL-2 in vivo.
Subfields: Hematology, Immunology
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In Immunology
Citations in the corpus
- Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets (2018, background): “…finding initial poor t-SNE visualizations from large datasets, researchers often resort to either subsampling their data to the very limit of detection of rare populations 12 or to exporting specific populations from their dataset, thus compromising the ‘unbiased’ data analysis approach 13,14 .”