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Record W2045907289 · doi:10.3200/genp.135.3.271-286

Effects of Dehydroepiandrosterone Sulfate and Progesterone on Spatial Learning and Memory in Young and Aged Mice

2008· article· en· W2045907289 on OpenAlexaff
Karin J. Bodensteiner, Ivan J. Stone, Loraina L. Ghiraldi

Bibliographic record

VenueThe Journal of General Psychology · 2008
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsDehydroepiandrosterone sulfateMorris water navigation taskDehydroepiandrosteroneSpatial learningMedicineRecallEndocrinologyTrunkInternal medicineLatency (audio)PsychologyPhysiologyHormoneHippocampusBiologyAndrogen

Abstract

fetched live from OpenAlex

Young (2-4 months) and aged (14-16 months) male Swiss-Webster albino mice (n = 7 per group) were subcutaneously injected with 20 mg/kg/day dehydroepiandrosterone sulfate (DHEAS), progesterone (P), DHEAS + P, or vehicle control and trained over a 5-day period in a Morris water maze. The subjects were tested 48 hr after training for memory recall as measured by latencies to locate the hidden platform, and trunk blood was collected immediately thereafter. As expected, latency to platform decreased for all groups over the 6 testing days, with aged mice taking longer to reach platform than did young mice. However, results did not support the hypotheses that DHEAS-treated mice would exhibit shorter latencies and that P-treated mice would show longer latencies to platform in comparison with age-matched controls. These results raise doubts about the effectiveness of commercially available supplements claiming to promote enhanced memory in humans.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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 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

Citations6
Published2008
Admission routes1
Has abstractyes

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