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In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma
Published on: May 11, 2015
Spatial Transcriptomics reveals a T cell-mediated microglial activation axis of neurodegeneration following immune
Abstract:
Immune checkpoint inhibitor (ICI) combinations that block cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1) signaling have revolutionized cancer care but also exert a range of immune-related adverse events (irAE) in various tissues, including the brain. Our understanding of the mechanisms of irAE in the brain is still evolving, and we recently demonstrated that ICI (blockade of CTLA-4 and PD-1) perturbs hippocampal-dependent memory function by derailing neuro-immune homeostasis and compromising synaptic integrity. However, the spatial patterns and the cell-type-specific molecular mechanisms underlying ICI-related brain dysfunction remain not well-defined. To address this gap, we performed spatial transcriptomic profiling of the hippocampal region using multiplexed error-robust fluorescence in situ hybridization (MERFISH) to map gene expression at single-cell resolution. By integrating spatial single-cell data with bulk RNA-seq, we define the distribution of microglia, astrocytes, synaptic, and neuroinflammatory markers, and determine how ICI reshapes hippocampal cellular composition in a syngeneic murine melanoma model. MERFISH revealed upregulation of microglial, astrocytic, oligodendrocytic, and T cell markers post-ICI treatment, revealing unique pathways driving neuroinflammation, synaptic function, and cellular signaling. Furthermore, immunofluorescence analysis of postmortem brains from patients treated with ICI corroborates our findings of ICI-related immune activation of microglia. Finally, using a conditional deletion model, we show that T cells are indispensable for ICI-driven microglial activation. Altogether, our study provides a high-resolution spatial framework for understanding irAEs in brain function and a T cell-microglia crosstalk axis as a driving mechanism of dysregulated neuro-immune homeostasis during ICI.
Insights
Immune checkpoint inhibitors (ICI) disrupt brain immune balance, causing memory issues. T cells activate microglia, driving neuroinflammation and brain dysfunction during cancer therapy.
Area of Science:
- Neuroimmunology
- Cancer Immunology
- Neuroscience
Background:
- Immune checkpoint inhibitors (ICIs) targeting CTLA-4 and PD-1 have transformed cancer treatment.
- ICIs can cause immune-related adverse events (irAEs), including neurological dysfunction.
- Previous work showed ICI perturbs hippocampal memory function by affecting neuro-immune homeostasis and synaptic integrity.
Purpose of the Study:
- To define spatial patterns and cell-type-specific molecular mechanisms of ICI-related brain dysfunction.
- To investigate how ICIs reshape hippocampal cellular composition and gene expression.
- To explore the T cell-microglia crosstalk in ICI-driven neuroinflammation.
Main Methods:
- Spatial transcriptomic profiling using multiplexed error-robust fluorescence in situ hybridization (MERFISH) in a murine melanoma model.
- Integration of MERFISH data with bulk RNA-sequencing.
- Immunofluorescence analysis of postmortem human brain tissue and conditional deletion models.
Main Results:
- MERFISH revealed ICI upregulates microglial, astrocytic, oligodendrocytic, and T cell markers in the hippocampus.
- Defined spatial distribution of immune and synaptic markers, identifying pathways driving neuroinflammation.
- Confirmed ICI-induced microglial immune activation in human brains and demonstrated T cell indispensability for this activation.
Conclusions:
- ICI treatment reshapes hippocampal cellular composition and gene expression, leading to neuroinflammation.
- A T cell-microglia crosstalk axis is a key mechanism driving neuro-immune homeostasis dysregulation during ICI therapy.
- This study provides a high-resolution spatial framework for understanding ICI-related brain irAEs.

