Evidence map›Paper›PMID 28495883›Full record

ArticleThe Journal of biological chemistry2017

A systems biology analysis connects insulin receptor signaling with glucose transporter translocation in rat adipocytes.

Niclas Bergqvist, Elin Nyman, Gunnar Cedersund, Karin G Stenkula

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Insulin Signaling Pathway Model in Adipocyte Cells.Current pharmaceutical design · 2023
    Article
  4. Article
  5. Review
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

4 authors at 3 institutions in 4 countries.

Niclas BergqvistFrom the Departments of Biomedical Engineering and.
Elin NymanFrom the Departments of Biomedical Engineering and.
Gunnar CedersundFrom the Departments of Biomedical Engineering and gunnar.cedersund@liu.se.
Karin G StenkulaGlucose Transport and Protein Trafficking, Department of Experimental Medical Sciences, Biomedical Centre, Lund University, SE221 84 Lund, Sweden karin.stenkula@med.lu.se.
Linköping University · SEAstraZeneca (United States) · USLund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes is characterized by insulin resistance, which arises from malfunctions in the intracellular insulin signaling network. Knowledge of the insulin signaling network is fragmented, and because of the complexity of this network, little consensus has emerged for the structure and importance of the different branches of the network. To help overcome this complexity, systems biology mathematical models have been generated for predicting both the activation of the insulin receptor (IR) and the redistribution of glucose transporter 4 (GLUT4) to the plasma membrane. Although the insulin signal transduction between IR and GLUT4 has been thoroughly studied with modeling and time-resolved data in human cells, comparable analyses in cells from commonly used model organisms such as rats and mice are lacking. Here, we combined existing data and models for rat adipocytes with new data collected for the signaling network between IR and GLUT4 to create a model also for their interconnections. To describe all data (>140 data points), the model needed three distinct pathways from IR to GLUT4: (i) via protein kinase B (PKB) and Akt substrate of 160 kDa (AS160), (ii) via an AS160-independent pathway from PKB, and (iii) via an additional pathway from IR,

Indexed as

AdipocytesAnimalsGlucose Transporter Type 4GTPase-Activating ProteinsProtein TransportProto-Oncogene Proteins c-aktRatsReceptor, InsulinSignal TransductionSystems BiologyGlucose Transporter Type 4GTPase-Activating ProteinsProto-Oncogene Proteins c-aktReceptor, InsulinSlc2a4 protein, ratTBC1D4 protein, ratadipocytecell signalingglucose transporter type 4 (GLUT4)insulininsulin signalingmathematical modelingmechanistic modeling

Identifiers

PMID28495883
PMCPMC5500789
OpenAlexW2612677622

What Socratic 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 Socratic graph.