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Regulation of murine NK cell exhaustion through the activation of the DNA damage repair pathway
Maite Alvarez, … , William J. Murphy, Robert S. Negrin
Maite Alvarez, … , William J. Murphy, Robert S. Negrin
Published June 18, 2019
Citation Information: JCI Insight. 2019;4(14):e127729. https://doi.org/10.1172/jci.insight.127729.
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Research Article Immunology Oncology

Regulation of murine NK cell exhaustion through the activation of the DNA damage repair pathway

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Abstract

NK cell exhaustion (NCE) due to sustained proliferation results in impaired NK cell function with loss of cytokine production and lytic activity. Using murine models of chronic NK cell stimulation, we have identified a phenotypic signature of NCE, characterized by upregulation of the terminal differentiation marker KLRG1 and by downregulation of eomesodermin and the activating receptor NKG2D. Chronic stimulation of mice lacking NKG2D resulted in minimal NCE compared with control mice, thus identifying NKG2D as a crucial mediator of NCE. NKG2D internalization and downregulation on NK cells have been previously observed in the presence of tumor cells with high expression of NKG2D ligands (NKG2DL) due to the activation of the DNA damage repair pathways. Interestingly, our study revealed that during NK cell activation, there is an increase of MULT1, an NKG2DL, that correlates with an induction of DNA damage. Treatment with the ATM DNA damage repair pathway inhibitor KU55933 (KU) during activation reduced NCE by improving expression of activation markers and genes involved in cell survival, through sustaining NKG2D expression and preserving cell functionality. Importantly, NK cells expanded ex vivo in the presence of KU displayed increased antitumor efficacy in both NKG2D-dependent and -independent mouse models. Collectively, these data demonstrate that NCE is caused by DNA damage and is regulated, at least in part, by NKG2D. Further, the prevention of NCE is a promising strategy to improve NK cell–based immunotherapy.

Authors

Maite Alvarez, Federico Simonetta, Jeanette Baker, Antonio Pierini, Arielle S. Wenokur, Alyssa R. Morrison, William J. Murphy, Robert S. Negrin

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Figure 1

Exhaustion markers can be identified by changes in NK cell activation phenotype and function following chronic stimulation.

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Exhaustion markers can be identified by changes in NK cell activation ph...
Mice were treated with IL-15, as described in Supplemental Figure 1A. Spleens were collected at the indicated times and NK cells were analyzed. (A) Multivariate heatmap analysis was performed on data obtained from flow cytometry analysis. The percentage of a given marker within the total NK cell population is represented by the geometric size of the circle, while the color gradient represents the median fluoresce intensity (MFI) for each marker in each model representing the maximal and minimal expression within each specific marker. Statistical differences are represented in black for percentage and in red for MFI compared with the acute group. (B) Representative histograms and the total percentage of Ki67 on gated NK cells (CD3–NK1.1+) are shown. (C) The percentage of NK cell lysis of CFSE-labeled Yac1 cells is shown. The effector/target (E/T) ratio is normalized to the percentage of splenic NK cells. (D) Representative dot plots and the total percentage of IFN-γ production by NK cells (CD3–CD49b+) after NK1.1 stimulation are shown. (E) Principal component analysis (PCA) representation of NK cell markers for IL-15 (circle), IL-2 (triangle), or Poly I:C (square) models after control (gray), resolved (white), acute (turquoise), or chronic (orange) stimulation. (F) The percentage of the variance for each or cumulative PC is shown. (G) Representation of the NK cell markers that drive PC1 and PC2 is shown. Data are representative of at least 3 independent experiments with 3 mice per group (mean ± SEM). One-way ANOVA or two-way ANOVA was used to assess significance. Significant differences are displayed for comparisons with the acute group (*P < 0.05, **P < 0.01, ***P < 0.001). No significant differences were found when comparisons among the control, resolved, and chronic groups were made.

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