ArticleNature neuroscience2026
Spatial proteomic analysis in human Alzheimer's disease brains enables identification of microenvironment-dependent microglial cell states.
Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Microglia-derived extracellular vesicle content as a biomarker for early detection of Alzheimer's disease.Translational neurodegeneration · 2026Review
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- FFPE-CUTAC: A Single Assay, Multiple Layers.bioRxiv : the preprint server for biology · 2026Article
- Border-Associated Macrophage Migrasomes in Alzheimer's Disease: An Emerging Aβ-Senescence-Microglia Axis?Cells · 2026Review
- Astrocytes in Neurodegeneration: Spatial States, Crosstalk, and Emerging Therapies.Molecular neurobiology · 2026Review
- Microglia and neuroinflammation: An in-depth analysis from functional diversity to disease mechanisms.Clinical and translational medicine · 2026Review
- Protein stereo-folding and proteostasis: A new path for clinical and translational medicine.Clinical and translational medicine · 2026Article
- Regional tau burden tracks with lower microglial HLA class II transcription in the human brain.Frontiers in neuroscience · 2026Article
- Spatial omics of neuroinflammation: insights across brain diseases.Frontiers in immunology · 2026Review
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Disease-associated microglial states are thought to contribute to Alzheimer's disease (AD) progression, but characterizing them and their relationships to pathology remains challenging. Here we introduce CODEX-CNS-a multiplexed protein imaging technology with a custom data analysis pipeline for use in human brain samples. We profiled 704,706 cells in samples from the frontal cortex of 8 people with AD and 8 healthy controls and mapped features including blood-brain barrier, meningeal components and cell-cell interactions within the same tissue sections. Amongst the myeloid cell populations we identified, we found a border-associated macrophage-like microglial subset associated with aging. Further classifying myeloid cell subsets based on their spatial neighborhood, we identified a border-associated macrophage-like microglial subpopulation that was associated significantly with dense amyloid-β plaques, which we termed human plaque-associated microglia. This work offers insights into myeloid cell heterogeneity in AD and provides a new spatial approach to characterizing brain cells at the single-cell protein level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.