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Record W2054464412 · doi:10.1055/s-2000-11122

Effect of Ginseng Saponins on Cold Tolerance in Young and Elderly Rats

2000· article· en· W2054464412 on OpenAlex
Lawrence Wang, Tze-Fun Lee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlanta Medica · 2000
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCold toleranceGinsengThermogenesisCold stressSaponinHypothermiaMedicineED50IngredientAnimal scienceInternal medicineChemistryPharmacologyBiologyFood scienceBotanyBiochemistryObesity

Abstract

fetched live from OpenAlex

Acute systemic injection of ginseng saponin (GS) significantly elevated both the total and maximum heat production in young rats (3-6 months) and improved their cold tolerance under severe cold (-10 degrees C under helium-oxygen). However, pretreating the animal with the optimal dose (10 mg/kg) of GS devoid of Rg1 and Rb1 failed to elicit any beneficial effect in improving the cold tolerance. Pretreating the animal with Rb1, but not Rg1, increased thermogenesis as well as cold tolerance in young rats. A similar beneficial effect in improving cold tolerance was also observed when old rats (26-28 months) were pretreated with the same doses of Rb1 (2.5 and 5.0 mg/kg). Our results indicate that Rb1 is the key ingredient in GS-mediated enhancement in thermogenic capacity and that both young and old rats can benefit from this treatment for enhanced cold tolerance.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.276
Teacher spread0.267 · 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