Adult human epidermal melanocytes for neurodegeneration research
Bibliographic record
Abstract
Neuronal models for Alzheimer's disease research frequently have limitations as a result of their nonhuman origin and/or transformed state. Here we examined the potential of readily accessible neural crest-derived human epidermal melanocytes isolated from elderly individuals as a model system for Alzheimer's disease research. The amyloidogenic isoforms of amyloid precursor protein (APP; isoforms APP751/770) and amyloid beta (Abeta)1-40 were detected in epidermal melanocytes using immunocytochemistry and western blotting. Incubation of epidermal melanocytes with aggregated Abeta1-40 peptide caused a concentration-dependent reduction in cell viability, whereas age-matched dermal fibroblasts remained unaffected. These findings suggest that epidermal melanocytes from elderly donors are capable of amyloidogenesis and are sensitive to Abeta1-40 cytotoxicity. Thus, these cells may provide a readily accessible human cell model for Alzheimer's disease research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".