Selective or Specific M1 Muscarinic Receptor Antagonists Exhibit Biased Agonism at the M1 Receptor via β‐arrestin Signaling
Bibliographic record
Abstract
Introduction Selective (pirenzepine; PZ) and specific (muscarinic toxin 7; MT7) antagonists of the muscarinic acetylcholine type 1 receptor (M 1 R) reverse nerve degeneration in rodent models of peripheral neuropathy. These drugs drive axonal outgrowth of adult sensory neurons and signaling is mediated via extracellular‐regulated protein kinase (ERK) and β‐arrestin. In order to understand the pharmacological mechanism of action of PZ and MT7, we hypothesized that these drugs exhibited biased agonism at the M 1 R mediated via b‐arrestin signaling. Methods Nano bioluminescence resonance energy transfer (NanoBRET) assay: Human embryonic kidney (HEK293) cells co‐expressing human M 1 R‐Nluc and Halo‐tagged β‐arrestin 2 were treated with different doses of M 1 R agonists (muscarine or carbachol) or antagonists (PZ and MT7)at different time points. NanoBRET assay was employed to measure ligand‐induced β‐arrestin 2 recruitment to the M 1 R. Assays were performed in triplicate with 3 independent experiments completed. Data are presented as corrected milli‐BRET (mBRET) units. Substrate was added 2 min before BRET detection, and drugs were applied at various time points. Data are reported as the mean ± SD (statistics by 1‐way ANOVA with Tukey's post ‐ hoc test). Inositol‐phosphate one (IP1) measurement: Intracellular IP1 levels were measured using IP‐One assay (Cisbio Bioassays, USA). HEK293 cells co‐expressing hM1R‐Nluc and Halo‐tagged β‐arrestin 2 were plated onto 384‐well white microplates (20000 cells per well) and were treated with stimulation buffer with or without 1) different doses of M 1 R agonist (muscarine), 2) M 1 R antagonists (PZ and MT7) or 3) both M 1 R antagonist (different doses of PZ) and agonist (muscarine, 1mM) for different time points at 37 °C. Cells were lysed by addition of the supplied buffer containing d2‐labeled IP1, followed by addition of terbium cryptate‐labeled anti‐IP1 antibody, according to the manufacturer's instructions. Plates were incubated for 1 h at room temperature and fluorescence signals were measured at 620 and 665 nm using the Biotek Synergy Neo2 plate reader. HTRF ratio 665 nm/620 nm of each well were extrapolated on the standard curve to obtain IP1 concentrations. Results Both carbachol (Fig. 1A) and muscarine (Fig. 1B) induced Halo‐tagged β‐arrestin 2 recruitment to hM 1 R‐Nluc in a dose‐dependent manner at 5 min of treatment. pirenzepine (Fig. 1C) and MT7 (Fig. 1D) induced Halo‐tagged β‐arrestin 2 recruitment to hM1R‐Nluc in a dose‐dependent manner at longer time points (e.g. after 30 min). Interestingly, over short periods, e.g. 2‐3 min, PZ and MT7 acted as classical antagonists with blockade of muscarine‐induced b‐arrestin 2 association with M 1 R. Unlike MT7 and PZ, muscarine increased IP1 levels in transfected cells (Fig. 2A). Also, PZ dose‐dependently inhibited the formation of IP1 following muscarine (1mM) treatment (Fig. 2B). Conclusion Thisstudy for the first time provides molecular evidence to support a role for selective/specific muscarinic receptor antagonists acting as biased agonists at the M 1 R. This novel signaling pathway may contribute to driving axonal regeneration in adult sensory neurons and could be mobilized for nerve repair in neuropathic disease.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".