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Record W2340952092 · doi:10.1055/s-2008-1047811

Potential of St. John's wort as antistress medication

2008· article· de· W2340952092 on OpenAlexaboutno aff
Veronika Butterweck, Oliver Grundmann, Margret Leven, O Kelber

Bibliographic record

VenueZeitschrift für Phytotherapie · 2008
Typearticle
Languagede
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlutathione peroxidaseFluoxetineSuperoxide dismutaseAntioxidantPharmacologyOxidative stressPeroxidaseMedicineGlutathioneEnzymeTraditional medicineBiochemistryChemistry

Abstract

fetched live from OpenAlex

Background An increasing number of reports indicate that free radicals are involved in the biochemical mechanisms underlying neuropsychiatric disorders in humans [1]. The results of several reports suggest that there is a therapeutic benefit from antioxidant supplementation in unstable manic-depressive patients. It has been shown that antidepressants like St. John's wort extract (SJW), but also fluoxetine significantly increased markers of anti-oxidative capacity, e.g. superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) in brain homogenates as well as erythrocyte lysates in unstressed mice [2]. Method The aim of the present study was to evaluate the mechanisms of action of SJW extract (STW 3-VI) in a chronic restraint stress (CRS) model using male Sprague-Dawley rats. Since there is a strong connection between stress and selected neurodegenerative as well as mental disorders such as depression and anxiety the effects of STW 3-VI extract on CRS induced neuroendocrine, neuroimmunological and behavioral changes, on the production of free radicals and antioxidant enzyme activities in the hippocampus and hypothalamus as well as on the protection of immune organs of stressed and non-stressed rats were evaluated. Markers of antioxidant capacity, such as SOD, GPx and catalase (CAT) in the hippocampus and hypothalamus, and on plasma hormone levels (ACTH, corticosterone), as well as on inflammatory markers such as IL-6, TNF-α and C-reactive protein were determined in addition to behavioral changes. Results Our first results show that CRS (1h for 21 consecutive days) significantly decreased thymus and spleen indices in CRS treated controls (control non-stress: 1.64±0.07; 2.41±0.09 vs. control stress: 1.21±0.03; 2.10±0.06, p<0.01). This result indicates that the immune function was diminished when the animals were exposed to CRS. The thymus and spleen indices were unchanged for the unstressed animals receiving fluoxetine (10mg/kg), or SJW extract (125, 250, 500 and 750mg/kg, respectively). However, treating stressed rats with fluoxetine or SJW extract produced a significant and dose dependent increase in both thymus and spleen indices. Conclusions Our data provide new insight into the effects of stress on neuroimmunological and antioxidative parameters as well as into the mechanisms of action of St. John's wort. [1] Herken H, et al.: Arch Med Res 2007; 38: 247–252. [2] Michalski C, et al.: Planta Med 2007; 73: 991 [abstract].

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 score0.005
Threshold uncertainty score0.016

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)0.0050.001

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 head0.019
GPT teacher head0.281
Teacher spread0.262 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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