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Adaptation of β-Cell and Endothelial Function to Carbohydrate Loading: Influence of Insulin Resistance

Overview of attention for article published in Diabetes, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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34 Mendeley
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Article details
Title
Adaptation of β-Cell and Endothelial Function to Carbohydrate Loading: Influence of Insulin Resistance
Published in
Diabetes, March 2015
DOI 10.2337/db15-0106
Pubmed ID
Authors
Abstract

High-carbohydrate diets have been associated with ß-cell strain, dyslipidemia, and endothelial dysfunction. We examined how β-cell and endothelial function adapt to carbohydrate overloading and the influence of insulin resistance. On sequential days in randomized order, nondiabetic subjects (classified as insulin-sensitive (IS, n=64) or insulin-resistant (IR, n=79) by euglycemic clamp) received 4 mixed meals over 14 hours with either standard (300 kcal) or double carbohydrate content. β-cell function was reconstructed by mathematical modeling; brachial artery flow-mediated dilation (FMD) was measured before and after each meal. Compared with IS, IR subjects showed higher glycemias and insulin hypersecretion due to greater ß-cell glucose and rate sensitivity; potentiation of insulin secretion, however, was impaired. Circulating FFA were less suppressed in IR than IS subjects. Baseline FMD was reduced in IR, and postprandial FMD attenuation occurred after each meal, particularly with high carbohydrate, similarly in IR and IS. Throughout the 2 study days, higher FFA levels were significantly associated with lower (incretin-induced) potentiation and impaired FMD. In nondiabetic individuals, enhanced glucose sensitivity and potentiation upregulate the insulin secretory response to carbohydrate overloading. With insulin resistance this adaptation is impaired. Defective suppression of endogenous FFA is one common link between impaired potentiation and vascular endothelial dysfunction.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 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 %
Brazil 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 5 15%
Researcher 5 15%
Student > Bachelor 4 12%
Student > Ph. D. Student 4 12%
Student > Master 4 12%
Other 3 9%
Unknown 9 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 6 18%
Nursing and Health Professions 3 9%
Agricultural and Biological Sciences 3 9%
Veterinary Science and Veterinary Medicine 1 3%
Other 1 3%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 February 2026.
All research outputs
#6,017,546
of 34,151,039 outputs
Outputs from Diabetes
#3,124
of 12,179 outputs
Outputs of similar age
#57,850
of 300,490 outputs
Outputs of similar age from Diabetes
#26
of 94 outputs
Altmetric has tracked 34,151,039 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,179 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.