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Differences in alcohol versus aqueous extracts of North American Ginseng in protecting against eccentric exercise‐induced muscle damage in rats

2012· article· en· W10547186 on OpenAlexafffund
Mehrbod Estaki, Earl G. Noble

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGinseng Biological Effects and Applications
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchOrthopaedic Research Foundation
KeywordsGinsengCreatine kinaseChemistryInflammationMuscle damageSarcolemmaPharmacologyAlcoholPlaceboHaematoxylinLipopolysaccharideCreatineInternal medicineEndocrinologyMedicineBiochemistryMyocytePathologyImmunohistochemistry

Abstract

fetched live from OpenAlex

The extraction process employed with North American Ginseng extracts (NAGE) is known to influence their composition and pharmacological action. Hence, the effects of different NAGE on muscle protection against acute exercise were examined. Male Wistar rats were given daily supplementation (300 mg/kg) of an Alcohol (Al) or Aqueous (Aq) ginseng extract or water placebo (P). After 14 days, each group was randomly divided into non‐exercise Control (C) or Exercise (Ex) conditions. The Ex groups ran (−14 % grade) for 1hr at a speed of 24 m/min and were sacrificed 24hr later. Plasma creatine kinase (CK) levels, structural damage (haematoxylin and eosin) and inflammation (immunostaining of the neutrophil marker, HIS48) in the soleus were analyzed. Both Al and Aq treatments significantly reduced (~18% and 25%, respectively), typical exercise‐induced rise in blood CK levels (p<0.002). However, only the Aq extract reduced morphological signs of damage (H&E) and inflammation (HIS48) (p<0.001). Steroidal saponins known as ginsenosides, found in both extracts, can reduce CK leakage by enhancing sarcolemma integrity thus lowering membrane disruption. Meanwhile, immunosuppressant actions of polysaccharides native to the Aq extract, known for their ability to attenuate over‐activation of leukocytes may explain the lack of similar protection from the Al extract. Supported by ORF grant #RE02‐049 & CIHR grant #CCT‐83029

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.035
GPT teacher head0.277
Teacher spread0.242 · 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.

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

Citations1
Published2012
Admission routes2
Has abstractyes

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