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Record W2498079440 · doi:10.18143/jisanh_v3i2_1031

Trans-epithelial transport of Maillard reaction products (MRPs) through the GLUT receptor in a Caco-2 cell line

2016· article· en· W2498079440 on OpenAlexaff
Abhishek Bhattacherjee, Yuliya Hrynets, Mirko Betti

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChemistryMaillard reactionGlucose transporterCaco-2PeptideReceptorAmadori rearrangementBiochemistryTripeptideCell cultureMediated transportCellEndocrinologyInsulinGlycationBiology

Abstract

fetched live from OpenAlex

Dietary MRPS represent a diverse class of molecules, and their impact on human health is a matter of debate. A prerequisite for a physiological effect from dietary MRPs is that they are transported across the intestinal barrier. The objective of this study was to demonstrate a possible mechanism for MRPs transport in a human intestinal cell line (Caco-2). To produce the MRPs, a tripeptide Lys-Pro-Hyp was synthesized and non-enzymatically glycated with glucose. MRPs [Amadori peptide (m/z 519.6) and Nε-fructosyllysine (m/z 309.5)] were characterized by mass spectrometry. Radiolabeled 3H peptide and 14C MRPs were used to demonstrate the trans-epithelial transport. MRPs showed a 2.5-fold greater transport rate compared to the control peptide (Fig.1). Different receptor inhibitors were used to demonstrate a possible trans-epithelial route for MRPs. The inhibition of glucose transporter receptor (GLUT) significantly (p < 0.001) decreased the transport rate of MRPs. Peptide transporter PEPT-1 inhibition showed a significant (p < 0.001) decrease in MRP transport rate, while SGLT inhibition did not show any significant change. GLUT receptors likely play an important role in trans-epithelial transport of MRPs in the Caco-2 cell system. Figure1.

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.282
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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