Investigating the role of neuronal oxidative stress in early Alzheimer’s disease pathology
Bibliographic record
Abstract
Abstract Background While the amyloid cascade has driven drug development for decades, alternative mechanisms underlying early Alzheimer’s disease (AD) pathogenesis point towards a role of oxidative stress. Cellular responses to oxidative damage are disrupted in AD, additionally, markers of oxidative damage are elevated in the brains of individuals with mild cognitive impairment and AD as well as in AD animal models. However, the earliest role of oxidative stress that coincides with intraneuronal amyloid beta accumulation preceding plaque deposition and cognitive decline has yet to be elucidated. This study aims to investigate oxidative stress related genes as key drivers of disease mechanisms in the early, pre‐plaque AD pathology. Methods The McGill‐R‐Thy1‐APP transgenic rat model was utilized to study the role of neuronal oxidative stress responses during the early, pre‐plaque amyloid pathology. Hippocampal neurons from 5‐month‐old pre‐plaque transgenic and non‐transgenic control rats were excised using laser capture microdissection. The expression of 84 genes related to antioxidant response and reactive oxygen species metabolism was investigated by qRT‐PCR. Validation at the protein level was performed using immunofluorescence microscopy and biochemical assays. Results At the mRNA level, genes including superoxide dismutase, DNA repair enzymes, and antioxidants such as glutathione reductase were dysregulated in transgenic hippocampal neurons compared to wild type controls. At the protein level, there were increased amounts of DNA repair enzymes in the subiculum of Tg rats, reinforcing the observations made at the mRNA level. Assessments at the protein level of additional targets as well as their correlation with intraneuronal amyloid beta load are ongoing. Conclusions These findings show that genes related to oxidative stress responses are dysregulated specifically in neurons burdened with amyloid peptides during early, pre‐plaque stages of the AD amyloid pathology. This suggests that oxidative stress is an important contributor to the earliest 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 | 0.000 | 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 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".