GPC5 expression highlights astrocytic heterogeneity and divergent hippocampal responses in Alzheimer’s and Parkinson’s Dementia
Bibliographic record
Abstract
ABSTRACT Regional heterogeneity of astrocytes and neurons is increasingly recognised as a determinant of selective vulnerability in neurodegeneration, yet the molecular signatures underlying this specificity remain poorly defined. Glypican-5 (GPC5), a heparan sulfate proteoglycan expressed mainly by astrocytes, contributes to synaptic organisation and circuit stability, whose disruption may undermine astrocyte-neuron crosstalk and contribute to selective neuronal loss in neurodegenerative diseases. Using multiplex chromogenic immunohistochemistry, in situ hybridization and digital pathology, we mapped GPC5 expression across the hippocampus and parahippocampal cortex in post-mortem tissue from non-demented control (CTL), Alzheimer’s disease (AD) and Parkinson’s disease with dementia (PDD) cases. In CTL brains, GPC5 labelled spatially restricted populations of astrocytes and pyramidal neurons organized according to hippocampal subfield and laminar architecture. GPC5-positive astrocytes co-expressed canonical markers but represented a more restricted population while GPC5 protein was enriched at synapse-rich regions of the outer molecular layer of the dentate gyrus. In AD and PDD, regional distribution patterns of GPC5 were distinct from canonical astrocyte markers including GFAP, AQP4 and ALDH1L1. In PDD, GPC5 distribution was largely preserved. In AD, GPC5 underwent selective redistribution with a significant loss of the staining in the dentate gyrus, and an accumulation on amyloid plaques, putatively secreted by plaque-associated astrocytes, and on neurofibrillary tangles, likely of neuronal and astrocytic origin These findings reveal disease- and region-specific remodelling of a spatially organised astrocyte-neuron system and establish GPC5 as a molecularly distinct responder to AD pathology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".