Evidence map›Paper›PMID 31653897›Full record

ArticleScientific reports2019

Computational Analysis of Insulin-Glucagon Signalling Network: Implications of Bistability to Metabolic Homeostasis and Disease states.

Pramod R Somvanshi, Manu Tomar, Venkatesh Kareenhalli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Daily Brain Metabolic Rhythms of Wild Nocturnal Bats.International journal of molecular sciences · 2024
    Article
  6. Article
  7. Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. 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
  9. Review
  10. 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

3 authors at 2 institutions in 2 countries.

Pramod R SomvanshiDepartment of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai, India.
Manu TomarDepartment of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai, India.ORCID http://orcid.org/0000-0003-3071-0129
Venkatesh KareenhalliDepartment of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai, India. venks@iitb.ac.in.ORCID http://orcid.org/0000-0002-9319-3432
Indian Institute of Technology Bombay · INHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin and glucagon control plasma macronutrient homeostasis through their signalling network composed of multiple feedback and crosstalk interactions. To understand how these interactions contribute to metabolic homeostasis and disease states, we analysed the steady state response of metabolic regulation (catabolic or anabolic) with respect to structural and input perturbations in the integrated signalling network, for varying levels of plasma glucose. Structural perturbations revealed: the positive feedback of AKT on IRS is responsible for the bistability in anabolic zone (glucose >5.5 mmol); the positive feedback of calcium on cAMP is responsible for ensuring ultrasensitive response in catabolic zone (glucose <4.5 mmol); the crosstalk between AKT and PDE3 is responsible for efficient catabolic response under low glucose condition; the crosstalk between DAG and PKC regulates the span of anabolic bistable region with respect to plasma glucose levels. The macronutrient perturbations revealed: varying plasma amino acids and fatty acids from normal to high levels gradually shifted the bistable response towards higher glucose range, eventually making the response catabolic or unresponsive to increasing glucose levels. The analysis reveals that certain macronutrient composition may be more conducive to homeostasis than others. The network perturbations that may contribute to disease states such as diabetes, obesity and cancer are discussed.

Indexed as

AlgorithmsModels, TheoreticalSignal TransductionAmino AcidsBlood GlucoseCyclic Nucleotide Phosphodiesterases, Type 3Diabetes MellitusDiglyceridesFatty AcidsFeedback, PhysiologicalGlucagonHomeostasisHumansInsulinInsulin Receptor Substrate ProteinsObesityAmino AcidsBlood GlucoseCyclic Nucleotide Phosphodiesterases, Type 3DiglyceridesFatty AcidsGlucagonInsulinInsulin Receptor Substrate ProteinsProtein Kinase CProto-Oncogene Proteins c-aktReceptor, Insulin

Identifiers

PMID31653897
PMCPMC6814820
OpenAlexW2981333938

What OpenQuestion holds

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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.