Critically evaluating sweet taste receptor expression and signaling through a molecular pharmacology lens
Bibliographic record
Abstract
The class C G protein-coupled sweet taste receptor (STR) is responsible for the perception of sweet-tasting molecules. Considered an obligate heterodimer, it consists of taste 1 receptor 2 and taste 1 receptor 3 subunits. Interest in the STR has steadily grown, especially since its discovery in extraoral tissues hints at a metabolic role for the receptor. It is now known that many pharmacologically exploitable binding sites exist across the extracellular and transmembrane regions of both subunits of the STR, indicative of its potential amenability to pharmacotherapeutic modulation. In this review, we briefly describe the structural characteristics and functional relevance of the STR. Then, from a molecular pharmacology perspective, we dissect the research surrounding the regulation of STR surface expression and signal transduction, in both oral and extraoral tissues, and discuss the potential for the exploitation of biased agonists for the STR. We find that despite 20 years of research into the STR, the target remains frustratingly enigmatic. Not only are the mechanisms controlling and regulating the surface expression of the STR unclear, but also research into the full repertoire of signaling partners of the STR is at present inconclusive. Critically, the influence of receptor polymorphisms (including those associated with sugar consumption) on the molecular pharmacology of the receptor remains hitherto unexplored. Finally, we provide recommendations on the reporting of reference sequence identification numbers to avoid incorrect attribution of wild-type to these biologically significant polymorphisms, which we argue may have led to some of the inconsistencies in the field.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".