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Selective or Specific M1 Muscarinic Receptor Antagonists Exhibit Biased Agonism at the M1 Receptor via β‐arrestin Signaling

2021· article· en· W3167896873 on OpenAlexafffund
Shayan Amiri, Mohamad‐Reza Aghanoori, Paul Fernyhough

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsArrestinMuscarinic acetylcholine receptorChemistryMuscarinePharmacologyAgonistMuscarinic acetylcholine receptor M3ReceptorG protein-coupled receptorEndocrinologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.021
GPT teacher head0.248
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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