Diferuloylquinide is converted to diferuloylquinic acid and other phenolic compounds during digestion and/or metabolism in rats.
Bibliographic record
Abstract
Chlorogenic acids are esters of hydroxycinnamic acids with quinic acid. Coffee is one of the main food sources of chlorogenic acids and during the roasting of the beans, part of these compounds is transformed into lactones or quinides, through the loss of a water molecule and formation of an intramolecular ester bond. Diferuloylquinide (DIFEQ), a representative compound of this class, has previously exhibited hypoglicemic activity in rats, among other biological activities. In the present preliminary study, DIFEQ was diluted in saline and administered to 3 male Sprague Dawley rats through a gastric catheter. Blood draws were taken 20, 40 and 60 min. after DIFEQ administration and plasma samples were analyzed by HPLC‐UV. The main DIFEQ metabolite observed in plasma in all time points was its corresponding chlorogenic acid, diferuloylquinic acid. A series of other metabolites including ferulic acid, isoferulic acid and 3‐feruloylquic acid were also identified, in addition to small amounts of DIFEQ. Whether DIFEQ breakdown occurs prior, during or after absorption is still under investigation. These results suggest that the major compounds responsible for the hypoglycemic and other biological activities of quinides observed in vivo are their corresponding chlorogenic acid compounds and metabolites. Financial support: Institute for Coffee Studies‐VU (USA), CBP&Dcafé (Brazil).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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 teacher head, 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".