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Record W2314874096 · doi:10.1021/jf2031583

Antioxidant and Anti-Inflammatory Activities of Maillard Reaction Products Isolated from Sugar–Amino Acid Model Systems

2011· article· en· W2314874096 on OpenAlexaff
Xiumin Chen, David D. Kitts

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaillard reactionChemistryAntioxidantSugarFructoseBiochemistryGlycineAmino acidFood scienceNitric oxideLysineOrganic chemistry

Abstract

fetched live from OpenAlex

We investigated the antioxidant and anti-inflammatory activities of both crude and ultrafiltrated Maillard reaction (MR) products (MRPs) derived from sugar-amino acid MR models, comprising fructose (Fru), glucose (Glu) or ribose (Rib) reacted with glycine (Gly) or lysine (Lys), respectively. Crude MRPs derived from Glu-Lys showed the greatest capacity (P < 0.05) to inhibit nitric oxide (NO) and interleukin 8 (IL-8) production in interferon γ and phorbol ester-induced Caco-2 cells. Moreover, one ultrafiltrated fraction (MW < 1 kDa) recovered from Glu-Lys exhibited the greatest (P < 0.05) affinity to inhibit NO. This effect also corresponded to an inhibition of both iNOS transcription and translation. The NO and IL-8 inhibitory activities of crude MRPs were positively correlated with intracellular oxidation inhibitory activity. In conclusion, we have demonstrated an anti-inflammatory capacity of MRPs in inflamed Caco-2 cells that is specific to low molecular weight (MW < 1 kDa) Glu-Lys MRPs.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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

Citations46
Published2011
Admission routes1
Has abstractyes

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