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Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes

Overview of attention for article published in Genome Medicine, June 2015
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Title
Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
Published in
Genome Medicine, June 2015
DOI 10.1186/s13073-015-0179-6
Pubmed ID
Authors

Michael Eiden, Albert Koulman, Mensud Hatunic, James A. West, Steven Murfitt, Michael Osei, Claire Adams, Xinzhu Wang, Yajing Chu, Luke Marney, Lee D. Roberts, Stephen O’Rahilly, Robert K. Semple, David B. Savage, Julian L. Griffin

Abstract

Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14-16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge. We compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR gene) mutations with healthy controls. The absence of significant differences in triacylglycerol species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of triacylglycerols with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of triacylglycerol species is indicative of increased de novo lipogenesis in the liver. To test this we investigated the distribution of these triacylglycerols in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these triacylglycerols with very low-density lipoprotein particles, and hence release of triacylglycerols into the blood from the liver. To test further the hepatic origin of these triacylglycerols we induced de novo lipogenesis in the mouse, comparing ob/ob and wild-type mice on a chow or high fat diet, confirming that de novo lipogenesis induced an increase in relatively shorter, more saturated fatty acids. Overall, these studies highlight hepatic de novo lipogenesis in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Austria 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 15 19%
Student > Master 10 13%
Student > Bachelor 8 10%
Other 5 6%
Other 13 16%
Unknown 10 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 20%
Agricultural and Biological Sciences 16 20%
Medicine and Dentistry 15 19%
Chemistry 6 8%
Nursing and Health Professions 3 4%
Other 11 14%
Unknown 13 16%
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 02 July 2015.
All research outputs
#17,764,580
of 22,815,414 outputs
Outputs from Genome Medicine
#1,356
of 1,440 outputs
Outputs of similar age
#176,707
of 263,145 outputs
Outputs of similar age from Genome Medicine
#38
of 40 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 263,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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