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Inositol hexakisphosphate kinase 1 is a metabolic sensor in pancreatic β-cells

Overview of attention for article published in Cellular Signalling, March 2018
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Article details
Title
Inositol hexakisphosphate kinase 1 is a metabolic sensor in pancreatic β-cells
Published in
Cellular Signalling, March 2018
DOI 10.1016/j.cellsig.2018.03.001
Pubmed ID
Authors
Abstract

Diphosphoinositol pentakisphosphate (IP7) is critical for the exocytotic capacity of the pancreatic β-cell, but its regulation by the primary instigator of β-cell exocytosis, glucose, is unknown. The high Km for ATP of the IP7-generating enzymes, the inositol hexakisphosphate kinases (IP6K1 and 2) suggests that these enzymes might serve as metabolic sensors in insulin secreting β-cells and act as translators of disrupted metabolism in diabetes. We investigated this hypothesis and now show that glucose stimulation, which increases the ATP/ADP ratio, leads to an early rise in IP7 concentration in β-cells. RNAi mediated knock down of the IP6K1 isoform inhibits both glucose-mediated increase in IP7 and first phase insulin secretion, demonstrating that IP6K1 integrates glucose metabolism and insulin exocytosis. In diabetic mouse islets the deranged ATP/ADP levels under both basal and glucose-stimulated conditions are mirrored in both disrupted IP7 generation and insulin release. Thus the unique metabolic sensing properties of IP6K1 guarantees appropriate concentrations of IP7 and thereby both correct basal insulin secretion and intact first phase insulin release. In addition, our data suggest that a specific cell signaling defect, namely, inappropriate IP7 generation may be an essential convergence point integrating multiple metabolic defects into the commonly observed phenotype in diabetes.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 6 13%
Student > Bachelor 5 11%
Student > Master 5 11%
Professor > Associate Professor 3 7%
Other 6 13%
Unknown 7 15%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 30%
Agricultural and Biological Sciences 6 13%
Chemistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Engineering 3 7%
Other 9 20%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2018.
All research outputs
#23,677,354
of 28,879,505 outputs
Outputs from Cellular Signalling
#1,702
of 2,374 outputs
Outputs of similar age
#278,962
of 353,753 outputs
Outputs of similar age from Cellular Signalling
#17
of 29 outputs
Altmetric has tracked 28,879,505 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,374 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.