MétaCan
Menu
Back to cohort
Record W4386161705 · doi:10.26685/urncst.495

The Therapeutic Potential of HDAC Inhibitors for Dopamine Deficiency in Alzheimer’s Disease: A Research Protocol

2023· article· en· W4386161705 on OpenAlexaff
Andrew Huynh, Jillian Cruzana, Sushmita Kiri

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDopamineVentral tegmental areaDopaminergicMicrodialysisDopamine transporterNeurotransmitterChemistryPharmacologyNeuroscienceMedicineBiologyCentral nervous system

Abstract

fetched live from OpenAlex

Introduction: Histone deacetylases (HDACs) are enzymes with epigenetic down-regulatory functions that are linked to the pathogenesis of neurodegenerative diseases such as Alzheimer’s disease. Dopamine deficiency in the ventral tegmental area (VTA) is associated with memory deficits characteristic of Alzheimer’s disease. HDAC inhibitors (HDACi) may counter HDAC downregulation of dopamine, increasing VTA dopamine. This investigation hypothesizes that HDACi can increase net VTA dopamine concentration and thus improve memory in Tg2576 transgenic mice models of Alzheimer’s disease. Methods: Firstly, a promoter for each of the 18 HDACs will be individually delivered into mice VTA to identify those decreasing local dopamine concentrations, which will be measured using microdialysis and a Paired-Samples T-Test. Secondly, an HDACi corresponding to each HDAC will be selected and longitudinally injected into the mice while measuring VTA dopamine concentration using microdialysis and a Paired-Samples T-Test to indicate the HDACi countering HDAC-induced dopamine downregulation. Lastly, the dopamine receptor antagonist flupentixol will be injected into the VTA as mice undertake the Novel Object Recognition Test. Performance will indicate whether HDACi-induced increases in VTA dopamine improve memory and learning function. Results: Lower post-measurement scores are expected for HDACs that decrease VTA dopamine concentration relative to baseline means. Greater post-measurement scores are expected for HDACi that increase VTA dopamine concentration relative to pre-measurement scores. The lowest mean exploration times are expected for HDAC delivery, then HDACi injection with flupentixol, no treatment, and finally HDACi alone. Tg2576 mice are expected to have lower mean exploration times than healthy B6.SJL mice. Discussion: The first two experiments identify HDACs that decrease net VTA dopamine concentration and HDACi that increase it through Paired-Samples T-Tests. The final experiment investigates whether dopamine rehabilitation caused by HDACi can produce tangible memory improvements. A two-way ANOVA test will determine if exploration times between the four treatment groups are statistically significant, concluding whether learning and memory improved by manipulations alone. Conclusion: The memory and learning of Tg2576 Alzheimer’s mice models are expected to improve through the inhibition of dopamine-decreasing HDACs in the VTA. This protocol offers a preliminary strategy towards identifying the HDACs and HDACi relevant to dopamine deficiency in Alzheimer’s disease.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0270.005

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 head0.077
GPT teacher head0.464
Teacher spread0.387 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Explore more

Same venueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) JournalSame topicHistone Deacetylase Inhibitors ResearchFrench-language works237,207