ArticleJournal of neuropathology and experimental neurology2026
Quantification of the neuropathology of alcohol use disorder using tissue microarrays.
Article in Journal of neuropathology and experimental neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Forensic neuropathology: 2026 update.Free neuropathology · 2026Review
- An Australian brain bank and the future of alcohol and major neuropsychiatric disorders research.Frontiers in neurologyReview
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Authors and funding
10 authors.
Funding
Abstract
Alcohol use disorder (AUD) is characterized by an inability to stop consuming alcohol. Neuroimaging studies of patients with AUD show mild grey and white matter atrophy, while pathological studies suggest that atrophy is restricted to the white matter. The effects on individual brain cells are largely unknown. Mild neuronal loss has been described in the prefrontal cortex but this has not been consistent. Studies quantifying oligodendrocytes, astrocytes, and microglia are rare. These knowledge gaps impede therapeutic advancements. Here, we piloted the use of tissue microarrays, immunohistochemistry, and automated image analysis to systematically quantify cell profiles in human postmortem tissue. We sampled 173 grey and white matter cores across 5 cerebral regions from 4 male AUD cases and 4 age-matched controls. We found no obvious differences in the regional profiles of neurons, astrocytes, oligodendrocytes, or microglia. However, mean microglial densities across all regions were higher in AUD (P=.0024). There were visual signs of reactive astrocytosis in AUD cases but mean cell body sizes were unchanged. Our findings suggest that alcohol-related brain damage is not due to a loss of any of major cell classes. Larger studies focusing on subtype-specific markers and advanced image analysis tools are required.
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