Evidence map›Paper›PMID 34615716›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Continuous variable responses and signal gating form kinetic bases for pulsatile insulin signaling and emergence of resistance.

Namrata Shukla, Shantanu Kadam, Ranjith Padinhateeri, Ullas Kolthur-Seetharam

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 2 institutions in 1 country.

Namrata ShuklaDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai 400005, India.
Shantanu KadamDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India.
Ranjith PadinhateeriDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India; ullas@tifr.res.in ranjithp@iitb.ac.in.
Ullas Kolthur-SeetharamDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai 400005, India; ullas@tifr.res.in ranjithp@iitb.ac.in.
Indian Institute of Technology Bombay · INTata Institute of Fundamental Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding kinetic control of biological processes is as important as identifying components that constitute pathways. Insulin signaling is central for almost all metazoans, and its perturbations are associated with various developmental disorders, metabolic diseases, and aging. While temporal phosphorylation changes and kinetic constants have provided some insights, constant or variable parameters that establish and maintain signal topology are poorly understood. Here, we report kinetic parameters that encode insulin concentration and nutrient-dependent flow of information using iterative experimental and mathematical simulation-based approaches. Our results illustrate how dynamics of distinct phosphorylation events collectively contribute to selective kinetic gating of signals and maximum connectivity of the signaling cascade under normo-insulinemic but not hyper-insulinemic states. In addition to identifying parameters that provide predictive value for maintaining the balance between metabolic and growth-factor arms, we posit a kinetic basis for the emergence of insulin resistance. Given that pulsatile insulin secretion during a fasted state precedes a fed response, our findings reveal rewiring of insulin signaling akin to memory and anticipation, which was hitherto unknown. Striking disparate temporal behavior of key phosphorylation events that destroy the topology under hyper-insulinemic states underscores the importance of unraveling regulatory components that act as bandwidth filters. In conclusion, besides providing fundamental insights, our study will help in identifying therapeutic strategies that conserve coupling between metabolic and growth-factor arms, which is lost in diseases and conditions of hyper-insulinemia.

Indexed as

AnimalsBlood GlucoseCells, CulturedComputer SimulationFastingHepatocytesHyperinsulinismInsulinInsulin ResistanceMiceModels, TheoreticalPhosphorylationSignal TransductionBlood GlucoseInsulinfed–fastinsulin resistancekinetic insulationmemorysignaling topology

Identifiers

PMID34615716
PMCPMC8522282
OpenAlexW3204387471

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.