MétaCan
Menu
Back to cohort
Record W2053041004 · doi:10.1021/bm0703923

Oral Bioavailability of Insulin Contained in Polysaccharide Nanoparticles

2007· article· en· W2053041004 on OpenAlexafffund
Bruno Sarmento, António J. Ribeiro, Francisco Veiga, Domingos Ferreira, Ronald J. Neufeld

Bibliographic record

VenueBiomacromolecules · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaInternational Business Machines CorporationEli Lilly and Company
KeywordsInsulinBioavailabilityChitosanChemistryPolysaccharideNanoparticleHypoglycemiaGastrointestinal tractOral administrationPharmacologyInternal medicineEndocrinologyMedicineBiochemistryMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

The pharmacological activity of insulin-loaded dextran sulfate/chitosan nanoparticles was evaluated following oral dosage in diabetic rats. Nanoparticles were mucoadhesive and negatively charged with a mean size of 500 nm, suitable for uptake within the gastrointestinal tract. Insulin association efficiency was over 70% and was released in a pH-dependent manner under simulated gastrointestinal conditions. Orally delivered nanoparticles lowered basal serum glucose levels in diabetic rats around 35% with 50 and 100 IU/kg doses sustaining hypoglycemia over 24 h. Pharmacological availability was 5.6 and 3.4% for the 50 and 100 IU/kg doses, respectively, a significant increase over 1.6%, determined for oral insulin alone in solution. Confocal microscopic examinations of FITC-labeled insulin nanoparticles showed adhesion to rat intestinal epithelium, and internalization of insulin within the intestinal mucosa. Encapsulation of insulin into dextran sulfate/chitosan nanoparticles was a key factor in the improvement of the bioavailability of its oral delivery over insulin solution.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.084
GPT teacher head0.422
Teacher spread0.339 · 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 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

Citations259
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueBiomacromoleculesSame topicAdvanced Drug Delivery SystemsFrench-language works237,207