Functional Rescue of the Constitutively Internalized V2 Vasopressin Receptor Mutant R137H by the Pharmacological Chaperone Action of SR49059
Bibliographic record
Abstract
In most cases, nephrogenic diabetes insipidus results from mutations in the V2 vasopressin receptor (V2R) gene that cause intracellular retention of improperly folded receptors. We previously reported that cell permeable V2R antagonists act as pharmacological chaperones that rescue folding, trafficking, and function of several V2R mutants. More recently, the vasopressin antagonist, SR49059, was found to be therapeutically active in nephrogenic diabetes insipidus patients. Three of the patients with positive responses harbored the mutation R137H, previously reported to lead to constitutive endocytosis. This raises the possibility that, instead of acting as a pharmacological chaperone by favoring proper maturation of the receptors, SR49059 could mediate its action on R137H V2R by preventing its endocytosis. Here we report that the beta-arrestin-mediated constitutive endocytosis of R137H V2R is not affected by SR49059, indicating that the functional rescue observed does not result from a stabilization of the receptor at the cell surface. Moreover, metabolic labeling revealed that R137H V2R is also poorly processed to the mature form. SR49059 treatment significantly improved its maturation and cell surface targeting, indicating that the functional rescue of R137H V2Rs results from the pharmacological chaperone action of the antagonist.
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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".