p53 and Multidrug Resistance Transporters in the Central Nervous System
Bibliographic record
Abstract
Multidrug resistance (MDR) is a complication that is often seen during the treatment of cancer and epilepsy. This resistance has been attributed to an increased expression of ATP-binding cassette (ABC)-membrane efflux transporters in brain. Expression of these transporters, in particular P-glycoprotein (P-gp) and multidrug resistance-associated protein 1 (MRP1), have been shown to be regulated by the tumor suppressor gene p53 in that p53 mutations can lead to transporter induction. On the other hand, increased p53 expression in the brain is associated with neuronal cell death via apoptosis. Epileptic brain has been shown to regulate the MDR genes in a manner similar to tumor cells. Seizures have also been shown to precipitate a generalized acute inflammatory response and cytokine release within the central nervous system (CNS). The overall phenomenon of cell cycle arrest, apoptosis, and induction of MDR in epilepsy may be linked through common signaling pathways activated by these stimuli. Complexities in the development and regulation of MDR within the CNS underscore the need to delineate the molecular pathways involved. Ultimately, this knowledge may be used in the development of novel therapeutics in refractory epilepsy or malignancies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".