ERK-CREB Signaling Dysregulation with Increasing Levels of The β-amyloid Protein
Bibliographic record
Abstract
Introduction: alzheimer’s Disease is characterized by cognitive impairment and neurodegeneration, for which the pathogenic cause is considered to be the accumulation of the β-amyloid peptide (aβ42). The swedish and Indiana mutations of the amyloid precursor protein gene (appswe,Ind), found in the genetic familial form of aD, increase aβ42 levels due to augmented enzymatic cleavage. previous experiments demonstrate that high levels of soluble aβ42 upregulate extracellular regulated kinase 1/2 (eRK1/2) and downregulate cyclic amp-response element (CRe) binding protein (CReB) phosphorylation. Increasing levels of soluble aβ42 protein are hypothesized to dysregulate the eRK-CReB signalling pathway. Methods: Three plasmid constructs containing wild type amyloid precursor protein (appWt), appswe or appswe,Ind, each producing increasing levels of aβ42, were stably transfected into eukaryotic cell lines. Immunocytochemistry was performed using the mcsa1 antibody to measure the amount of aβ protein in the appswe,Ind and appWt cell lines. Cells were stimulated with forskolin and KCl. eRK and CReB phosphorylation were analyzed by western blot. results: mcsa1 staining demonstrated increased aβ protein in the appswe,Ind cell line compared to the appWt cell line. upon cell stimulation at 30 minutes, the appWt cell line demonstrated the highest levels of CReB phosphorylation and appswe,Ind demonstrated the lowest levels. eRK phosphorylation increased upon stimulation and was sustained across all four time points, but there was no significant difference in levels between the clones. discussion: These results suggest that the aβ protein has beneficial effects on CRe-regulated gene expression at physiological levels and negative consequences that mimic alzheimer’s disease at pathogenic levels.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".