Hippocampal Membrane-Associated p75NTR Levels are Increased in Alzheimer's Disease
Bibliographic record
Abstract
The pan-specific p75 neurotrophin receptor (p75(NTR)) is believed to play an important role in the pathogenesis of Alzheimer's disease (AD). It is involved in mediating amyloid-β (Aβ) toxicity and stimulating amyloidogenesis. In addition, we have recently shown that stimulating cultured SH-SY5Y human neuroblastoma cells with Aβ(42) increases the level of membrane-associated p75(NTR) and that Aβ(42)-accumation in two strains of transgenic AD model mice is accompanied by an increased level of hippocampal membrane-associated p75(NTR) (Chakravarthy et al. J Alzheimers Dis 19, 915-925, 2010). This raised an important question whether accumulating Aβ(42) in human AD is also accompanied by an increased hippocampal membrane-associated p75(NTR). In this study, using polyclonal and monoclonal antibodies against the p75(NTR) receptor's intra- and extracellular domains, we show that indeed the mean level of membrane-associated p75(NTR) in the hippocampal formation is significantly higher (~two-fold, p < 0.03) in human AD brains than in identical samples of hippocampal formation in age-matched non-AD human brains. The possible relation of this elevated hippocampal p75(NTR) to AD cognitive decline is discussed.
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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) | 0.001 | 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".