Inflammatory reactions and drug response: importance of cytochrome P450 and membrane transporters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Inflammatory reactions (IRs), both infectious and aseptic, downregulate numerous enzymes of cytochrome P450 (CYP) and ATP-binding cassette transporters. The mechanism involves proinflammatory cytokines and activation of transcription factors, nuclear factor-κB, CCAAT-enhancer-binding protein-β and c-myc, which bind to negative regulatory elements and/or impede the binding of nuclear receptors to promoter elements. Downregulation of CYP enzymes and transporters modulates the kinetics of a drug, resulting in increased plasma and tissue concentrations of the drug and enhanced effect and/or toxicity. Clinical trials have shown that IRs increase the risk of myocardial infarction and stroke. In this article, we speculate that IRs downregulate cardiac and vascular CYP enzymes (CYP2C8/9 and CYP2J2) responsible for the formation of vasorelaxant products. Patients with IRs should be advised that the risk of drug adverse effects and of cardiovascular diseases is increased; therefore, the benefit-risk ratio and use of drugs with narrow therapeutic index should be revaluated, as well as the conditions precipitating cardiovascular events.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it