GRK-biased adrenergic agonists for the treatment of type 2 diabetes and obesity
Bibliographic record
Abstract
Biased agonism of G protein-coupled receptors (GPCRs) offers potential for safer medications. Current efforts have explored the balance between G proteins and β-arrestin; however, other transducers like GPCR kinases (GRKs) remain understudied. GRK2 is essential for β 2 adrenergic receptor (β 2 AR)-mediated glucose uptake, but β 2 AR agonists are considered poor clinical candidates for glycemic management due to G s /cyclic AMP (cAMP)-induced cardiac side effects and β-arrestin-dependent desensitization. Using ligand-based virtual screening and chemical evolution, we developed pathway-selective agonists of β 2 AR that prefer GRK coupling. These compounds perform well in preclinical models of hyperglycemia and obesity and demonstrate a lower potential for cardiac and muscular side effects compared with standard β 2 -receptor agonists and incretin mimetics, respectively. Furthermore, the lead candidate showed favorable pharmacokinetics and was well tolerated in a placebo-controlled clinical trial. GRK-biased β 2 AR partial agonists are thus promising oral alternatives to injectable incretin mimetics used in the treatment of type 2 diabetes and obesity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".