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Record W4387045459 · doi:10.26685/urncst.502

TAC1 Gene Therapy in the Gut to Reduce Long-Term Memory Loss in Tg4-42 Alzheimer Diseased Mice: A Research Proposal

2023· article· en· W4387045459 on OpenAlexaff
Tyler Pereira

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicMedicinal Plants and Neuroprotection
Canadian institutionsUniversity of OttawaWestern University
Fundersnot available
KeywordsMorris water navigation taskHippocampusDiseaseWeight lossMedicineNeurosciencePopulationPsychologyInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.175
GPT teacher head0.497
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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