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Thrombolytic, CNS Depressant and Anti-Diarrhoeal Activities of Ethanolic Extract of Bark of Syzygium cumini L. Skeels: An In-Vivo and In-Vitro Study

2018· article· en· W2810876106 on OpenAlexvenueno aff
Fokhrul Abedin, Md. Saddam Hussain, Areful Islam, Niloy Sen, Abhijit Das, Auditi Kar, Md. Monir Hossain, Md. Shalahuddin Millat, Mohammad Safiqul Islam

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2018
Typearticle
Languageen
FieldMedicine
TopicMedicinal Plants and Neuroprotection
Canadian institutionsnot available
Fundersnot available
KeywordsAntidiarrhoealBark (sound)Behavioural despair testTraditional medicineChemistryLoperamideOpen fieldDepressantSyzygiumPharmacologyCastor oilDiarrheaMedicineBiologyBiochemistryHippocampusAntidepressant

Abstract

fetched live from OpenAlex

The present study was aimed to create scientific insights that validate the traditional use of bark of ethanolic extract of S. cumini in thrombosis, CNS depression and in diarrheal cases. The CNS depressant activity was evaluated by observing the locomotor activity of the animals in the open field and forced swim methods at a dose of 200 and 400 mg/kg body weight and the anti-diarrheal activity was evaluated through castor oil induced method and charcoal induced GI motility tests. Finally thrombolytic activity assessment was done by employing Streptokinase as standard. In this study, among the five different concentrations 10 mg/ml showed maximum clot lysis that was 48.5%, whereas standard showed 51.05% lysis of clot. In case of open field test, the mean number of movement at 60 min were 20 and 31.11 at a dose of 200 and 400 mg/kg respectively. In case of castor oil induced method the above two doses of bark extract of S. cumini exhibited 23.07% and 36.67% of diarrheal inhibition compared to the standard Loperamide (5mg/kg) was 50%. For charcoal induced GI motility test, diarrheal inhibition was 23.07% and 36.67%. The present revealed that ethanolic bark extract of bark of S. cumini justify its traditional uses through good thrombolytic, CNS depressant and anti-diarrheal activity.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.242

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 studies0.0000.001
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 head0.064
GPT teacher head0.381
Teacher spread0.317 · 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 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

Citations5
Published2018
Admission routes1
Has abstractyes

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