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Immune checkpoint activity regulates polycystic kidney disease progression
Emily K. Kleczko, Dustin T. Nguyen, Kenneth H. Marsh, Colin D. Bauer, Amy S. Li, Marie-Louise T. Monaghan, Michael D. Berger, Seth B. Furgeson, Berenice Y. Gitomer, Michel B. Chonchol, Eric T. Clambey, Kurt A. Zimmerman, Raphael A. Nemenoff, Katharina Hopp
Emily K. Kleczko, Dustin T. Nguyen, Kenneth H. Marsh, Colin D. Bauer, Amy S. Li, Marie-Louise T. Monaghan, Michael D. Berger, Seth B. Furgeson, Berenice Y. Gitomer, Michel B. Chonchol, Eric T. Clambey, Kurt A. Zimmerman, Raphael A. Nemenoff, Katharina Hopp
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Research Article Nephrology

Immune checkpoint activity regulates polycystic kidney disease progression

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Abstract

Innate and adaptive immune cells modulate the severity of autosomal dominant polycystic kidney disease (ADPKD), a common kidney disease with inadequate treatment options. ADPKD has parallels with cancer, in which immune checkpoint inhibitors have been shown to reactivate CD8+ T cells and slow tumor growth. We have previously shown that in PKD, CD8+ T cell loss worsens disease. This study used orthologous early-onset and adult-onset ADPKD models (Pkd1 p.R3277C) to evaluate the role of immune checkpoints in PKD. Flow cytometry of kidney cells showed increased levels of programmed cell death protein 1 (PD-1)/cytotoxic T lymphocyte associated protein 4 (CTLA-4) on T cells and programmed cell death ligand 1 (PD-L1)/CD80 on macrophages and epithelial cells in Pkd1RC/RC mice versus WT, paralleling disease severity. PD-L1/CD80 was also upregulated in ADPKD human cells and patient kidney tissue versus controls. Genetic PD-L1 loss or treatment with an anti–PD-1 antibody did not impact PKD severity in early-onset or adult-onset ADPKD models. However, treatment with anti–PD-1 plus anti–CTLA-4, blocking 2 immune checkpoints, improved PKD outcomes in adult-onset ADPKD mice; neither monotherapy altered PKD severity. Combination therapy resulted in increased kidney CD8+ T cell numbers/activation and decreased kidney regulatory T cell numbers correlative with PKD severity. Together, our data suggest that immune checkpoint activation is an important feature of and potential novel therapeutic target in ADPKD.

Authors

Emily K. Kleczko, Dustin T. Nguyen, Kenneth H. Marsh, Colin D. Bauer, Amy S. Li, Marie-Louise T. Monaghan, Michael D. Berger, Seth B. Furgeson, Berenice Y. Gitomer, Michel B. Chonchol, Eric T. Clambey, Kurt A. Zimmerman, Raphael A. Nemenoff, Katharina Hopp

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Figure 5

Treatment with α–PD-1 plus α–CTLA-4 results in rebalancing of adaptive immunity within the cystic immune microenvironment.

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Treatment with α–PD-1 plus α–CTLA-4 results in rebalancing of adaptive i...
(A–D, F, and G) Kidney flow cytometry data from BALB/cJ Pkd1RC/RC mice treated with α–PD-1 (blue), α–CTLA-4 (green), or combination (Comb.; yellow); control, white. (A) Numbers of immune cells (CD45+; % live), (B) CD8+ T cells (% CD45+), and (C and D) CD8+ T cells expressing CD44 and CD69 (C) or Ki67 (D) (% CD45+). α–PD-1 or α–CTLA-4 increased CD8+ T cell numbers, activation, and proliferation, which was further amplified by Comb. (E) Analysis of Treg numbers in 3-month-old BALB/cJ Pkd1RC/RC mice (white) versus WT (brown) shows a significant increase in ADPKD mice. Left: Representative flow diagrams. Right: Quantification. (F) CD4+ T cell numbers (% CD45+). (G) CD4+ Treg numbers (FoxP3+; % CD4+). CD4+ T cell numbers increased with monotherapy, with additive effects in Comb. Treg numbers decreased with α–CTLA-4 versus control. (H) Correlation analyses of CD8+ T cell activation and %KW/BW. Left: Data points of individual animals color-coded by severity of fibrotic burden and sized by number of Tregs. Mildest PKD (low %KW/BW, small fibrotic index) correlated with high numbers of activated CD8+ T cells plus low numbers of Tregs. Right: Same correlation plot with data points color-coded by treatment (Supplemental Table 5). (A–G) Box plot (25th to 75th percentile and median) with whiskers of 10th and 90th percentiles; single data points are shown. (A–D, F, and G) Kruskal-Wallis 1-way ANOVA with multiple-comparison follow-up by controlling for false discovery rate (Benjamini, Krieger, Yekutieli). (E) Nonparametric Mann-Whitney test. (H) Pearson’s correlation using 2-tailed multivariate analyses. *P < 0.05, **P < 0.01, ***P < 0.001. (A–D and F–H) N = 7–8 mice per group. (E) N = 6–8 mice per genotype. Nonsignificant pairwise comparisons are not shown.

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