SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · PPR

CD200R1 loss in CNS-associated macrophages triggers T cell-driven neurodegeneration in Parkinson’s disease

· 2025-08-11

DOI: 10.21203/rs.3.rs-7253835/v1

Check source for accessPreprintOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

Abstract Immune dysregulation is increasingly recognized as a key contributor to Parkinson’s disease (PD) pathogenesis. While microglia are established central nervous system (CNS) immune regulators, the role of CNS-associated macrophages (CAMs) and their upstream modulation by immune checkpoints remains poorly defined. Here, we identify CD200R1, a myeloid-specific inhibitory receptor, as a checkpoint selectively expressed by embryonically derived CAMs at CNS borders. CD200R1 deletion reprograms CAMs toward a proinflammatory, antigen-presenting state enriched in interferon and pyroptosis-related gene signatures. In α-synuclein–based PD models, CD200R1 loss exacerbates dopaminergic neurodegeneration, enhances CD8⁺ T cell infiltration, and promotes formation of tertiary microglial–T cell nodules. Mechanistically, it activates the caspase-8/GSDMD pyroptosis pathway in CAMs, creating a permissive environment for pathogenic T cells. Pyroptosis blockade with disulfiram attenuates T cell infiltration and neurodegeneration. Notably, pharmacological activation of CD200R1 via CD200Fc suppresses CAM activation and confers neuroprotection. These findings define a border-specific immune checkpoint that governs CAM–T cell crosstalk and represents a tractable therapeutic target in PD.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.