Evidence map›Paper›PMID 25401701›Full record

ArticlePloS one2014

Demonstration of a direct interaction between β2-adrenergic receptor and insulin receptor by BRET and bioinformatics.

Maja Mandić, Luka Drinovec, Sanja Glisic, Nevena Veljkovic, Jane Nøhr, Milka Vrecl

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Hyperinsulinemia blunts sympathetic vasoconstriction: a possible role of β-adrenergic activation.American journal of physiology. Regulatory, integrative and comparative physiology · 2021
    Article
  5. Review
  6. Review
  7. Sustained Stimulation of βDiabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  8. Article
  9. Article
  10. Review
  11. Insulin and β Adrenergic Receptor Signaling: Crosstalk in Heart.Trends in endocrinology and metabolism: TEM · 2017
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Trafficking of β-Adrenergic Receptors: Implications in Intracellular Receptor Signaling.Progress in molecular biology and translational science · 2015
    Review
  17. 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 4 institutions in 3 countries.

Maja MandićInstitute of Anatomy, Histology & Embryology, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia.
Luka DrinovecDevelopment Department, Aerosol d.o.o., Ljubljana, Slovenia.
Sanja GlisicCenter for Multidisciplinary Research, Institute of Nuclear Sciences VINCA, University of Belgrade, Belgrade, Serbia.
Nevena VeljkovicCenter for Multidisciplinary Research, Institute of Nuclear Sciences VINCA, University of Belgrade, Belgrade, Serbia.
Jane NøhrDepartment of Incretin & Islet Biology, Novo Nordisk A/S, Måløv, Denmark.
Milka VreclInstitute of Anatomy, Histology & Embryology, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia.
University of Belgrade · RSUniversity of Ljubljana · SIJolly Aero (Slovenia) · SINovo Nordisk (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose metabolism is under the cooperative regulation of both insulin receptor (IR) and β(2)-adrenergic receptor (β(2)AR), which represent the receptor tyrosine kinases (RTKs) and seven transmembrane receptors (7TMRs), respectively. Studies demonstrating cross-talk between these two receptors and their endogenous coexpression have suggested their possible interactions. To evaluate the effect of IR and prospective heteromerization on β(2)AR properties, we showed that IR coexpression had no effect on the ligand binding properties of β(2)AR; however, IR reduced β(2)AR surface expression and accelerated its internalization. Additionally, both receptors displayed a similar distribution pattern with a high degree of colocalization. To test the possible direct interaction between β(2)AR and IR, we employed quantitative BRET(2) saturation and competition assays. Saturation assay data suggested constitutive β(2)AR and IR homo- and heteromerization. Calculated acceptor/donor (AD50) values as a measure of the relative affinity for homo- and heteromer formation differed among the heteromers that could not be explained by a simple dimer model. In heterologous competition assays, a transient increase in the BRET(2) signal with a subsequent hyperbolical decrease was observed, suggesting higher-order heteromer formation. To complement the BRET(2) data, we employed the informational spectrum method (ISM), a virtual spectroscopy method to investigate protein-protein interactions. Computational peptide scanning of β(2)AR and IR identified intracellular domains encompassing residues at the end of the 7th TM domain and C-terminal tail of β(2)AR and a cytoplasmic part of the IR β chain as prospective interaction domains. ISM further suggested a high probability of heteromer formation and homodimers as basic units engaged in heteromerization. In summary, our data suggest direct interaction and higher-order β(2)AR:IR oligomer formation, likely comprising heteromers of homodimers.

Indexed as

Computational BiologyModels, BiologicalAlgorithmsCell LineCell MembraneGene ExpressionHumansProtein BindingProtein Interaction Domains and MotifsProtein MultimerizationProtein TransportReceptor, InsulinReceptors, Adrenergic, beta-2Recombinant Fusion ProteinsReceptor, InsulinReceptors, Adrenergic, beta-2Recombinant Fusion Proteins

Identifiers

PMID25401701
PMCPMC4234468
OpenAlexW2028417421

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.