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Record W2127935718 · doi:10.1016/j.jalz.2010.05.016

IC‐P‐001: Early treatment with pioglitazone in APP transgenic mice shows focal hippocampal volume increase related to improved cognitive performance

2010· article· en· W2127935718 on OpenAlexaff
AmanPreet Badhwar, Jason P. Lerch, John G. Sled, Édith Hamel

Bibliographic record

VenueAlzheimer s & Dementia · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsMcGill UniversityHospital for Sick ChildrenMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMorris water navigation taskPioglitazoneHippocampal formationHippocampusMedicineWater mazeInternal medicineEffects of sleep deprivation on cognitive performanceStriatumNeuroscienceCognitionEndocrinologyPsychology

Abstract

fetched live from OpenAlex

Short-term pioglitazone treatment normalized cerebrovascular function in old APP mice (line J20), but not cognitive performance, presumably due to irreversible damage (Nicolakakis et al, 2008). Hence, a more favorable response might be elicited by earlier and longer treatment. At 3-months of age, APP mice display cerebrovascular deficits and marginal memory impairments, whereas robust memory deficits are seen at 6-months (DeIpolyi et al., 2008). We confirmed the rescue of activity-induced functional hyperemia by pioglitazone in young APP mice, and are now evaluating pioglitazone effects on cognitive performance and brain structure. Three-month-old APP and wildtype (WT) mice were treated with either pioglitazone or control diet (12 weeks, 20 mg/kg/day). Thereafter, mice were trained on one of two versions of the Morris Water Maze (MWM): (1) striatum-based non-spatial MWM with visible platform and no distal cues, or (2) hippocampal-based spatial MWM with hidden platform and distal visual cues. Performance was assessed using escape latencies and probe trial parameters. Ten days post-training, mice were transcardially perfused. Brains within intact skulls were post-fixed and imaged using high-resolution (32 micron isotropic) T2-weighted MRI at 7T. Deformation-based morphometry (DBM) was used to identify focal volume changes correlated with cognitive task performance using a general linear model (Lerch et al, 2008). All mice undergoing the non-spatial MWM performed equally well. Focal volume increase associated with non-spatial MWM was observed in the striatum. On spatial MWM, APP mice displayed significantly prolonged escape latencies to reach the hidden platform compared to WT. Pioglitazone-treated APP mice exhibited a trend for reduced latencies during training, and a slightly higher number of platform-crossings than untreated APP mice during probe trial. Focal volume increase associated with spatial MWM performance was observed in the hippocampus in WT mice and treated APP mice, but not in untreated APP mice. We have demonstrated using high resolution MRI and DBM that spatial learning-induced hippocampal brain plasticity is absent in young APP mice. Pioglitazone-treatment in young APP mice had beneficial effects on focal hippocampal volume growth associated with spatial MWM performance, and completely rescued cerebrovascular function, suggesting that early and continued pioglitazone treatment may slow AD progression.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.018
GPT teacher head0.244
Teacher spread0.226 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

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