Evidence map›Paper›PMID 35595932›Full record

ReviewMolecular diagnosis & therapy2022

Selective Signal Capture from Multidimensional GPCR Outputs with Biased Agonists: Progress Towards Novel Drug Development.

Donghwa Kim, Alina Tokmakova, Jung-A A Woo, Steven S An, William A Goddard, Stephen B Liggett

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. GMolecular pharmacology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Donghwa KimDepartment of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, 33612, USA.ORCID 0000-0002-8994-8513
Alina TokmakovaProgram in Biophysics, University of California, San Francisco, CA, 94102, USA.ORCID 0000-0001-5280-7621
Jung-A A WooDepartment of Pathology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0002-9194-1361
Steven S AnRutgers Institute for Translational Medicine and Science, New Brunswick, NJ, 08901, USA.ORCID 0000-0003-4723-1888
William A GoddardMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID 0000-0003-0097-5716
Stephen B LiggettDepartment of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, 33612, USA. sliggett@usf.edu.ORCID 0000-0002-0128-3669
University of South Florida · USCalifornia Institute of Technology · USCase Western Reserve University · USRutgers, The State University of New Jersey · USUniversity of California, San Francisco · US

Funding

Project 4 - OGR1- and TSPO- dependent mechanisms mediated by benzodiazepines affecting ASM contractionP01HL114471 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LIGGETT, STEPHEN B · 2013 to 2023
$23.9M
Molecular properties of B-adrenergic receptors in AsthmaR37HL045967 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LIGGETT, STEPHEN B · 2002 to 2012
$3.2M
Characterization of biased airway smooth muscle TAS2R agonists for treating asthmaR01HL155532 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LIGGETT, STEPHEN B · 2021 to 2024
$2.2M
MOLECULAR PROPERTIES OF B-ADRENERGIC RECEPTORS IN ASTHMAR01HL045967 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LIGGETT, STEPHEN B · 1990 to 2018
$1.3M
Molecular properties of B-adrenergic receptors in AsthmaR56HL045967 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LIGGETT, STEPHEN B · 2015 to 2015
$374k
NHLBI NIH HHS P01 HL114471NHLBI NIH HHS R01 HL045967NHLBI NIH HHS R01 HL155532NHLBI NIH HHS R37 HL045967NHLBI NIH HHS R56 HL045967
6 · The paper itself

Abstract

G protein coupled receptors (GPCRs) are a superfamily of transmembrane-spanning receptors that are activated by multiple endogenous ligands and are the most common target for agonist or antagonist therapeutics across a broad spectrum of diseases. Initial characterization within the superfamily suggested that a receptor activated a single intracellular pathway, depending on the G protein to which it coupled. However, it has become apparent that a given receptor can activate multiple different pathways, some being therapeutically desirable, while others are neutral or promote deleterious signaling. The activation of pathways that limit effectiveness of a primary pathway or promote unwanted signals has led to abandonment of some GPCRs as drug targets. However, it is now recognized that the conformation of the receptor in its ligand-bound state can be altered by the structure of the agonist or antagonist to achieve pathway selectivity, a property termed biased signaling. Biased ligands could dramatically expand the number of novel drugs acting at GPCRs for new indications. However, the field struggles with the complexity and uncertainty of these structure-functions relationships. In this review we define the theoretical underpinnings of the biased effect, discuss the methods for measuring bias, and the pitfalls that can lead to incorrect assignments of bias. Using the recent elucidation of a β

Indexed as

Receptors, G-Protein-CoupledSignal TransductionDrug DevelopmentHumansLigandsLigandsReceptors, G-Protein-Coupled

Identifiers

PMID35595932
PMCPMC9276727
OpenAlexW4281251207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.