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GLP-1 response to sequential mixed meals: influence of insulin resistance.

Overview of attention for article published in Clinical Science, December 2017
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Article details
Title
GLP-1 response to sequential mixed meals: influence of insulin resistance.
Published in
Clinical Science, December 2017
DOI 10.1042/cs20171409
Pubmed ID
Authors
Abstract

Previous work has shown that potentiation of insulin release is impaired in non-diabetic insulin resistance; we tested the hypothesis that this defect may be related to altered GLP-1 release. On consecutive days, 82 non-diabetic individuals, classified as insulin sensitive (IS, n=41) or insulin resistant (IR, n=41) by euglycaemic clamp, were given two sequential mixed meals with standard (75 g, LCD) or double (150 g, HCD) carbohydrate content. Plasma glucose, insulin, C-peptide, NEFA and GLP-1 concentrations were measured; β-cell function (glucose sensitivity and potentiation) was resolved by mathematical modelling. Fasting GLP-1 levels were higher in IR than IS (+15%, p =0.006), and reciprocally related to insulin sensitivity after adjustment for sex, age, fat mass, glucose and insulin concentrations. Mean postprandial GLP-1 responses were tightly correlated with fasting GLP-1, were higher for the second than the first meal, and higher in IR than IS subjects only with LCD. In contrast, incremental GLP-1 responses were higher during (i) the second than the first meal, (ii) on HCD than LCD, (iii) independently of meal and load, and (iv) significantly smaller in IR than IS. Potentiation of insulin release was markedly reduced in IR vs IS across meal and carbohydrate loading. In the whole dataset, incremental GLP-1 was directly related to potentiation, and both were inversely related to mean NEFA concentrations. We conclude that (a) raised GLP-1 tone may be inherently linked with a reduced GLP-1 response, and (b) defective post-meal GLP-1 response may be one mechanism for impaired potentiation of insulin release in insulin resistance.

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The data shown below were compiled from readership statistics for 39 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 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 4 10%
Researcher 4 10%
Other 2 5%
Student > Bachelor 2 5%
Other 4 10%
Unknown 16 41%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Psychology 1 3%
Other 2 5%
Unknown 17 44%
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 08 November 2017.
All research outputs
#31,228,352
of 34,411,289 outputs
Outputs from Clinical Science
#3,186
of 3,415 outputs
Outputs of similar age
#437,881
of 492,619 outputs
Outputs of similar age from Clinical Science
#30
of 35 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,415 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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