bioRxivImmunologyPreprint
DPP9-mediated inflammasome repression protects against checkpoint inhibitor lung toxicity
J. Richard Brewer, Ailin Han, Amin H. NassariD, Elias Bou FarhatiD, Holly N. BlackburniD, Tianli XiaoiD, Haris MirzaiD, Walter K. MoweliD, Esen SefikiD, Saskia HartneriD, Michael ChiorazziiD, Takeshi Ito, Min Hee OhiD, Matthew Z. MaddeniD, Athreya S RangavajhulaiD, Elio AdibiD, Mustafa J. Saleh, Marc MachaalaniiD, Mehrdad RakaeeiD, Masoud Tafavvoghi, Claire Quattropani, Nicole Gazetos, David E. GerberiD, Farjana Jahan FattahiD, Jeffrey A. SoRelleiD, , Richard Anthony FlavelliD
Abstract
Over one million patients receive cancer immunotherapy annually, yet the mechanisms underlying life-threatening immune-mediated toxicities remain poorly understood. Checkpoint inhibitor pneumonitis (CIP) is the leading cause of immunotherapy-related mortality, with a case fatality rate approaching 10%, and no genetic risk factors have been described to date. We identified Dipeptidyl-peptidase 9 (DPP9) as the first genetic susceptibility gene for CIP in a clinico-genomics cohort of 4,397 patients treated with immune checkpoint inhibitors. Mechanistically, DPP9 suppresses CARD8 inflammasome activation and IL-18 secretion in human monocytes, a pathway which is engaged prior to CIP onset, with IL-18 selectively elevated in the plasma of patients who subsequently develop CIP. Myeloid-restricted ablation of Dpp8 and Dpp9 in mice recapitulated the pulmonary histopathological and immunological hallmarks of CIP, including granuloma formation, accumulation of IFN{gamma}-producing T cells and monocyte-derived macrophages. Each of these phenotypes were driven by excessive IL-18 secretion. Together, these findings establish DPP9 as a genetic determinant of CIP and nominate IL-18 blockade as a mechanistically rational therapeutic strategy.
- organism: human
- organism: mouse
- assay: proteomics
- assay: clinical cohort / trial
- research focus: host-pathogen & immune response
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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