TAC1 Gene Therapy in the Gut to Reduce Long-Term Memory Loss in Tg4-42 Alzheimer Diseased Mice: A Research Proposal
Bibliographic record
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder that mainly affects a large percentage of the older adult population. AD can cause many problems, most notably long-term memory (LTM) loss. Many studies have observed a decreased level of substance P (SP) in the hippocampus of individuals with AD. In this paper, we propose a novel strategy to limit AD-related decline of LTM using probiotics transformed with SP. These transformed bacteria will contain varying concentrations of SP and will be injected into three different segments of the proximal colon in AD mouse models. LTM will be measured through Morris Water Maze (MWM) and Barnes Maze (BM) tests over three months to examine improvements in spatial memory. It is anticipated that this experiment will demonstrate that increased concentrations of SP in the proximal colon will result in the greatest reduction in LTM loss in AD individuals. This experiment will establish a new therapeutic option for AD individuals to slow the progression of LTM loss.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".