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Record W2316417920 · doi:10.1139/y11-133

Islet protective and insulin secretion property of<i>Murraya koenigii</i>and<i>Ocimum tenuflorum</i>in streptozotocin-induced diabetic mice

2012· article· en· W2316417920 on OpenAlexvenueno aff
Menakshi Bhat, Bimba N. Joshi

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2012
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMurrayaStreptozotocinInternal medicinePostprandialEndocrinologyInsulinDiabetes mellitusIsletPancreatic isletsMedicineHepatoprotectionChemistryBiochemistryEnzymeTraditional medicine

Abstract

fetched live from OpenAlex

The present study investigates the antidiabetogenic effects of Murraya koenigii (L.) Spr. and Ocimum tenuflorum L. on streptozotocin-induced diabetic Swiss mice. Treatment with extracts of M. koenigii (chloroform; MKC) and O. tenuflorum (aqueous; OTA) resulted in proper glucose utilization with an increase in liver glucose-6-phosphate dehydrogenase enzyme activity, and normal glycogenesis in hepatic and muscle tissues. Pancreatic and intestinal glucosidase inhibitory activity observed with MKC and OTA treatment indicated beneficial effects in reducing postprandial hyperglycemia with concomitant improvement in glucose metabolism. The glucosidase inhibition was prolonged, even after discontinuation of MKC and OTA treatment. Normalization of plasma insulin and C-peptide levels was observed in diabetic mice, indicating endogenous insulin secretion after treatment. The histochemical and immunohistochemical analysis of pancreatic islets suggests the role of MKC and OTA in pancreatic β-cell protection and the functional pancreatic islets that produce insulin. The study demonstrates the significance of MKC and OTA in glucosidase inhibition and islet protection in the murine diabetic model. These findings suggest the potential of the extracts in adjuvant therapy for the treatment of diabetes and the possible development of potential neutraceuticals.

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)0.000
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 score0.685
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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

Citations12
Published2012
Admission routes1
Has abstractyes

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