Evidence map›Paper›PMID 27149630›Full record

ArticlePloS one2016

Insulin Signaling in Insulin Resistance States and Cancer: A Modeling Analysis.

Alessandro Bertuzzi, Federica Conte, Geltrude Mingrone, Federico Papa, Serenella Salinari, Carmela Sinisgalli

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Continuous variable responses and signal gating form kinetic bases for pulsatile insulin signaling and emergence of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  4. Finding new edges: systems approaches to MTOR signaling.Biochemical Society transactions · 2021
    Review
  5. Endothelial dysfunction due to selective insulin resistance in vascular endothelium: insights from mechanistic modeling.American journal of physiology. Endocrinology and metabolism · 2020 · on this map
    Article
  6. Article
  7. Insulin-Like Proteins in Plant Sources: A Systematic Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
  8. Long non-coding RNAAging · 2019
    Article
  9. Article
  10. Article
  11. Unraveling the regulation of mTORC2 using logical modeling.Cell communication and signaling : CCS · 2017
    Article
  12. Article
  13. 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 3 institutions in 1 country.

Alessandro BertuzziInstitute of Systems Analysis and Computer Science "A. Ruberti", CNR, 00185, Rome, Italy.
Federica ConteInstitute of Systems Analysis and Computer Science "A. Ruberti", CNR, 00185, Rome, Italy.
Geltrude MingroneDepartment of Internal Medicine, Catholic University School of Medicine, 00168, Rome, Italy.
Federico PapaInstitute of Systems Analysis and Computer Science "A. Ruberti", CNR, 00185, Rome, Italy.
Serenella SalinariDepartment of Computer and System Science, Sapienza University of Rome, 00185, Rome, Italy.
Carmela SinisgalliInstitute of Systems Analysis and Computer Science "A. Ruberti", CNR, 00185, Rome, Italy.ORCID 0000-0002-5823-7313
Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · ITSapienza University of Rome · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is the common denominator of several diseases including type 2 diabetes and cancer, and investigating the mechanisms responsible for insulin signaling impairment is of primary importance. A mathematical model of the insulin signaling network (ISN) is proposed and used to investigate the dose-response curves of components of this network. Experimental data of C2C12 myoblasts with phosphatase and tensin homologue (PTEN) suppressed and data of L6 myotubes with induced insulin resistance have been analyzed by the model. We focused particularly on single and double Akt phosphorylation and pointed out insulin signaling changes related to insulin resistance. Moreover, a new characterization of the upstream signaling of the mammalian target of rapamycin complex 2 (mTORC2) is presented. As it is widely recognized that ISN proteins have a crucial role also in cell proliferation and death, the ISN model was linked to a cell population model and applied to data of a cell line of acute myeloid leukemia treated with a mammalian target of rapamycin inhibitor with antitumor activity. The analysis revealed simple relationships among the concentrations of ISN proteins and the parameters of the cell population model that characterize cell cycle progression and cell death.

Indexed as

Insulin ResistanceModels, TheoreticalSignal TransductionAnimalsCell LineCell Line, TumorHumansInsulinMiceMuscle Fibers, SkeletalNeoplasmsPhosphorylationProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesInsulinMTOR protein, humanProto-Oncogene Proteins c-aktTOR Serine-Threonine Kinases

Identifiers

PMID27149630
PMCPMC4858213
OpenAlexW2345593561

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.