A Review of P-Glycoprotein Function and Regulation in Fish
Bibliographic record
Abstract
The teleost ATP Binding Cassette (ABC) transporter P-glycoprotein (P-gp) is an active transmembrane transporter that plays a pivotal role in facilitating the movement of both endogenous and xenobiotic substrates (moderately hydrophobic and amphipathic compounds) across cell membranes. P-gp exhibits substrate specificity often shared with other ABC transporters and solute carrier proteins, thereby ensuring the maintenance of chemical homeostasis within cells. These transporters are integral to chemical defense systems in fish, as they actively expel a wide range of substrates, primarily unmodified compounds, from cells. This transport process assists in preventing chemical absorption (e.g., intestine), safeguarding sensitive tissues (e.g., brain and gonads), and effectively excreting substances (e.g., liver and kidney). Upregulated P-gp export activity in aquatic animals results in the multi-xenobiotic resistance (MXR) phenotype that plays an essential protective role in survival in contaminated environments. Pollutants inhibiting P-gp are termed chemosensitizers and heighten fish sensitivity to toxic P-gp substrates. While the known intrinsic functions of P-gp in fish encompass steroid hormone and bile acid processing, relatively little attention has been given to endogenous substrates and inhibitors. Fish P-glycoprotein regulation is orchestrated by pivotal nuclear transcription factors, including pregnane X receptor (PXR) and nuclear factor erythroid 2-related factor 2 (Nrf2). This comprehensive review provides profound insights into P-gp’s significance across diverse fish species, contributing to an enhanced understanding of fish physiology, evolution, and toxicology, and provides information with potential applications, such as environmental monitoring.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".