Membrane cholesterol regulates inhibition and substrate transport by the glycine transporter, GlyT2
Bibliographic record
Abstract
Abstract Membrane cholesterol binds to and modulates the function of the specific SLC6 transporters. Here we investigate how cholesterol binds to and modulates the rate of glycine transport by the SLC6 glycine transporter GlyT2, and how this impacts lipid inhibition of GlyT2. Bioactive lipid inhibitors of GlyT2 are analgesics that bind to the lipid allosteric site of the outward facing GlyT2 conformation that is accessible from the extracellular solution. Using molecular dynamics simulations, mutagenesis and cholesterol depletion experiments, we show that bioactive lipid inhibition of glycine transport is modulated by the recruitment of membrane cholesterol to a cholesterol binding site formed by transmembrane helices 1, 5 and 7. Recruitment involves cholesterol flipping from its membrane orientation, and insertion of the 3’ hydroxyl group into the cholesterol binding cavity to interact with the base of the lipid allosteric site and the bound inhibitor. The recruitment of membrane cholesterol by allosteric GlyT2 inhibitors is a potential avenue for the development of high-potency, specific pain analgesics and could provide alternative therapeutics that target GlyT2 and other SLC6 neurotransmitter transporters.
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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 | 0.000 | 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 | 0.000 |
| 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".