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Stem cell transplantation uncovers TDO-AHR regulation of lung dendritic cells in herpesvirus-induced pathology
Stephen J. Gurczynski, … , Rachel L. Zemans, Bethany B. Moore
Stephen J. Gurczynski, … , Rachel L. Zemans, Bethany B. Moore
Published January 25, 2021
Citation Information: JCI Insight. 2021;6(2):e139965. https://doi.org/10.1172/jci.insight.139965.
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Research Article Immunology Transplantation

Stem cell transplantation uncovers TDO-AHR regulation of lung dendritic cells in herpesvirus-induced pathology

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Abstract

The aryl-hydrocarbon receptor (AHR) is an intracellular sensor of aromatic hydrocarbons that sits at the top of various immunomodulatory pathways. Here, we present evidence that AHR plays a role in controlling IL-17 responses and the development of pulmonary fibrosis in response to respiratory pathogens following bone marrow transplant (BMT). Mice infected intranasally with gamma-herpesvirus 68 (γHV-68) following BMT displayed elevated levels of the AHR ligand, kynurenine (kyn), in comparison with control mice. Inhibition or genetic ablation of AHR signaling resulted in a significant decrease in IL-17 expression as well as a reduction in lung pathology. Lung CD103+ DCs expressed AHR following BMT, and treatment of induced CD103+ DCs with kyn resulted in altered cytokine production in response to γHV-68. Interestingly, mice deficient in the kyn-producing enzyme indolamine 2-3 dioxygenase showed no differences in cytokine responses to γHV-68 following BMT; however, isolated pulmonary fibroblasts infected with γHV-68 expressed the kyn-producing enzyme tryptophan dioxygenase (TDO2). Our data indicate that alterations in the production of AHR ligands in response to respiratory pathogens following BMT results in a pro-Th17 phenotype that drives lung pathology. We have further identified the TDO2/AHR axis as a potentially novel form of intercellular communication between fibroblasts and DCs that shapes immune responses to respiratory pathogens.

Authors

Stephen J. Gurczynski, Nicolas L. Pereira, Steven M. Hrycaj, Carol Wilke, Rachel L. Zemans, Bethany B. Moore

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Figure 4

Altered cytokine production from CD103+ DCs in the presence of the AHR agonist, kyn.

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Altered cytokine production from CD103+ DCs in the presence of the AHR a...
(A) Flow plots showing purity of ex vivo–generated iCD103+ DCs. Cells were first gated using a live/dead stain and then on CD11c and MHCII following by gating on CD103 and AHR. (B) Bright-field micrograph of ex vivo–generated CD103+ DCs. Original magnification ×60. (C) RNA-Seq analysis of transcripts expressed in 4 separate iCD103 cultures. Genes listed are as follows: cDC1 genes: Itgae (CD103), Clec9a, H2-Ab1 (MHCII), Irf8. cDC2 genes: Itgam(CD11b), Sirpα, Irf4, Fcgr1 (CD64), CD68, Ly6c1 (CCR2). (D) Expression of the AHR response gene Cyp1b1 was determined by qRT-PCR following 24 hours of stimulation with kyn and/or γHV-68 (blue bars: vehicle treated, not visible due to scale, n = 3; brown bars: kyn treated, n = 3, shown as mean ± SEM). (E) RNA-Seq analysis of AHR response genes from iCD103 cultures treated with γHV-68, γHV-68 + kyn, or vehicle control (n = 4 cultures per group). (F and H) Ex vivo–generated CD103+ DCs were treated with kyn and either infected with γHV-68 or mock infected. Twenty-four hours after treatment total RNA was extracted, and gene expression was quantified by qRT-PCR for the indicated transcript (shown as mean ± SEM, n = 3 per group except IL-2, where n = 4 per group). (G) ICD103+ DCs were cocultured with naive CD4+ T cells in the presence of 1 μg/mL anti-CD3 and anti-CD28. ICD103+ DCs were pretreated overnight with γHV-68 alone (MOI = 1.0) or in combination with 200 μM kyn, DCs were washed once with complete media before plating at a 10:1 T cell/DC ratio. As a positive control, CD4+ T cells were skewed with 20 ng/mL recombinant IL-6 and 2 ng/mL recombinant TGF-β with anti-CD3 and anti-CD28 but without DC stimulation (IL-17 skew) or T cells alone without further stimulation (no DCs) shown as mean ± SEM, n = 4 per group. Statistical significance was determined by ANOVA, *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

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