Nature CommunicationsNeurosciencePeer-reviewed journal article
SKA2 regulated hyperactive secretory autophagy drives neuroinflammation-induced neurodegeneration
Jakob HartmanniD, Thomas BajajiD, Joy OtteniD, Claudia Klengel, Tim Ebert, Anne‐Kathrin GellneriD, Ellen Junglas, Kathrin Hafner, Elmira A. AnderzhanovaiD, Fiona Tang, Galen MissigiD, Lindsay RexrodeiD, Daniel T. TrusselliD, Katelyn X. LiiD, Max L. PöhlmanniD, Sarah MackertiD, Thomas M. GeigeriD, Daniel E. HeinziD, Roy LardenoijeiD, Nina DediciD, Kenneth M. McCulloughiD, Tomasz Próchnicki, Thomas RhombergiD, Silvia MartinelliiD, Antony PaytoniD, , Nils C. GasseniD
Abstract
High levels of proinflammatory cytokines induce neurotoxicity and catalyze inflammation-driven neurodegeneration, but the specific release mechanisms from microglia remain elusive. We demonstrate that secretory autophagy (SA), a non-lytic modality of autophagy for secretion of vesicular cargo, regulates neuroinflammation-mediated neurodegeneration via SKA2 and FKBP5 signaling. SKA2 inhibits SA-dependent IL-1{beta} release by counteracting FKBP5 function. Hippocampal Ska2 knockdown in mice hyperactivates SA resulting in neuroinflammation, subsequent neurodegeneration and complete hippocampal atrophy within six weeks. The hyperactivation of SA increases IL-1{beta} release, initiating an inflammatory feed-forward vicious cycle including NLRP3-inflammasome activation and Gasdermin D (GSDMD)-mediated neurotoxicity, which ultimately drives neurodegeneration. Results from protein expression and co-immunoprecipitation analyses of postmortem brains demonstrate that SA is hyperactivated in Alzheimers disease. Overall, our findings suggest that SKA2-regulated, hyperactive SA facilitates neuroinflammation and is linked to Alzheimers disease, providing new mechanistic insight into the biology of neuroinflammation.
- organism: mouse
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 33
- FWCI
- 5.12
- Field percentile
- top 4%
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