The effect of oral lipids and circulating lipoproteins on the metabolism of drugs
Bibliographic record
Abstract
The oral bioavailability of many lipophilic drugs is known to increase when coadministered with fatty meals. Although such a phenomenon is typically ascribed to increased solubilization and absorption of drug, in some cases this increase in systemic exposure may be in part due to the influence of lipids on the presystemic metabolism of the affected drug. Oral lipids on their absorption may interfere with the drug metabolizing enzymes expressed in the small intestine and/or liver. Fatty acids incorporated in dietary triglyceride can modulate the expression and activity of drug metabolizing enzymes within the small intestine. Lipoproteins, which are the major carriers of lipids in the systemic circulation, can become associated with lipophilic drugs. Such a combination may influence the metabolism of lipophilic drugs through limiting their uptake into the cells thereby decreasing their metabolism. In a contrary manner, an increased uptake and metabolism of lipoprotein-bound drug may be facilitated by lipoprotein receptors mediated uptake. The components of lipoproteins may also modulate the expression or activity of hepatic and extrahepatic drug metabolizing enzymes.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".