Human Prefoldin Inhibits Amyloid-β (Aβ) Fibrillation and Contributes to Formation of Nontoxic Aβ Aggregates
Bibliographic record
Abstract
Amyloid-β (Aβ) peptides represent key players in the pathogenesis of Alzheimer's disease (AD), and mounting evidence indicates that soluble Aβ oligomers mediate the toxicity. Prefoldin (PFD) is a molecular chaperone that prevents aggregation of misfolded proteins. Here we investigated the role of PFD in Aβ aggregation. First, we demonstrated that PFD is expressed in mouse brain by Western blotting and immunohistochemistry and found that PFD is upregulated in AD model APP23 transgenic mice. Then we investigated the effect of recombinant human PFD (hPFD) on Aβ(1-42) aggregation in vitro and found that hPFD inhibited Aβ fibrillation and induced formation of soluble Aβ oligomers. Interestingly, cell viability measurements using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay showed that Aβ oligomers formed by hPFD were 30-40% less toxic to cultured rat pheochromocytoma (PC12) cells or primary cortical neurons from embryonic C57BL/6CrSlc mice than previously reported Aβ oligomers (formed by archaeal PFD) and Aβ fibrils (p < 0.001). Thioflavin T measurements and immunoblotting indicated different structural properties for the different Aβ oligomers. Our findings show a relation between cytotoxicity of Aβ oligomers and structure and suggest a possible protective role of PFD in AD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| 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 teacher head, 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".