Phospholipid Flippase Activity of the Reconstituted P-Glycoprotein Multidrug Transporter
Bibliographic record
Abstract
The P-glycoprotein multidrug transporter acts as an ATP-powered efflux pump for a large variety of hydrophobic drugs, natural products, and peptides. The protein is proposed to interact with its substrates within the hydrophobic interior of the membrane. There is indirect evidence to suggest that P-glycoprotein can also transport, or "flip", short chain fluorescent lipids between leaflets of the membrane. In this study, we use a fluorescence quenching technique to directly show that P-glycoprotein reconstituted into proteoliposomes translocates a wide variety of NBD lipids from the outer to the inner leaflet of the bilayer. Flippase activity depended on ATP hydrolysis at the outer surface of the proteoliposome, and was inhibited by vanadate. P-Glycoprotein exhibited a broad specificity for phospholipids, and translocated phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, and sphingomyelin. Lipid derivatives that were flipped included molecules with long, short, unsaturated, and saturated acyl chains and species with the NBD group covalently linked to either acyl chains or the headgroup. The extent of lipid translocation from the outer to the inner leaflet in a 20 min period at 37 degrees C was directly estimated, and fell in the range of 0.36-1.83 nmol/mg of protein. Phospholipid flipping was inhibited in a concentration-dependent, saturable fashion by various substrates and modulators, including vinblastine, verapamil, and cyclosporin A, and the efficiency of inhibition correlated well with the affinity of binding to Pgp. Taken together, these results suggest that P-glycoprotein carries out both lipid translocation and drug transport by the same path. The transporter may be a generic flippase for hydrophobic molecules with the correct steric attributes that are present within the membrane interior.
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 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 | 0.000 | 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) | 0.001 | 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 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".