Evidence map›Paper›PMID 35196164›Full record

ReviewAmerican journal of physiology. Cell physiology2022

GPCR systems pharmacology: a different perspective on the development of biased therapeutics.

Dylan Scott Eiger, Uyen Pham, Julia Gardner, Chloe Hicks, Sudarshan Rajagopal

Abstract readReview
In one paragraph

Review in American journal of physiology. Cell physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Research Progress of G Protein-coupled Receptor 52 on Central Nervous System Diseases.Medicinal chemistry (Shariqah (United Arab Emirates)) · 2026
    Review
  7. Article
  8. CXCR1 and CXCR2 display receptor bias for shared chemokine agonists.bioRxiv : the preprint server for biology · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors.

Dylan Scott EigerDepartment of Biochemistry, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-9572-6282
Uyen PhamDepartment of Biochemistry, Duke University School of Medicine, Durham, North Carolina.
Julia GardnerTrinity College, Duke University, Durham, North Carolina.
Chloe HicksTrinity College, Duke University, Durham, North Carolina.
Sudarshan RajagopalDepartment of Biochemistry, Duke University School of Medicine, Durham, North Carolina.

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Biasing CXCR3 Signaling to Modulate the Inflammatory ResponseR01GM122798 · NIGMS · DUKE UNIVERSITY · PI RAJAGOPAL, SUDARSHAN · 2017 to 2025
$3.2M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) T32GM00717NIGMS NIH HHS R01 GM122798NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are the largest family of transmembrane receptors and are the target of approximately one-third of all Food and Drug Administration (FDA)-approved pharmaceutical drugs. GPCRs interact with many transducers, such as heterotrimeric G proteins, GPCR kinases (GRKs), and β-arrestins. Recent experiments have demonstrated that some ligands can activate distinct effector proteins over others, a phenomenon termed "biased agonism." These discoveries have raised the potential of developing drugs which preferentially activate therapeutic signaling pathways over those that lead to deleterious side effects. However, to date, only one biased GPCR therapeutic has received FDA approval and many others have either failed to meet their specified primary end points and or demonstrate superiority over currently available treatments. In addition, there is a lack of understanding regarding how biased agonism measured at a GPCR leads to specific downstream physiological responses. Here, we briefly summarize the history and current status of biased agonism at GPCRs and suggest adoption of a "systems pharmacology" approach upon which to develop GPCR-targeted drugs that demonstrate heightened therapeutic efficacy with improved side effect profiles.

Indexed as

Network PharmacologyReceptors, G-Protein-Coupledbeta-ArrestinsLigandsSignal Transductionbeta-ArrestinsLigandsReceptors, G-Protein-Coupledbiased agonismdrug developmentG protein-coupled receptorsystems pharmacologyβ-arrestin

Identifiers

PMID35196164
PMCPMC9037395

What OpenQuestion holds

Textmetadata
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.