Antioxidant and Anti-Inflammatory Activities of Maillard Reaction Products Isolated from Sugar–Amino Acid Model Systems
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".