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A Mendelian Randomization Study of Metabolite Profiles, Fasting Glucose and Type 2 Diabetes

Overview of attention for article published in Diabetes, August 2017
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95 Mendeley
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Article details
Title
A Mendelian Randomization Study of Metabolite Profiles, Fasting Glucose and Type 2 Diabetes
Published in
Diabetes, August 2017
DOI 10.2337/db17-0199
Pubmed ID
Authors
Abstract

Mendelian randomization (MR) provides us the opportunity to investigate the causal paths of metabolites in type 2 diabetes and glucose homeostasis. We developed and tested an MR approach based on genetic risk scoring for plasma metabolite levels, utilizing a pathway-based sensitivity analysis to control for non-specific effects. We focused on 124 circulating metabolites which correlate with fasting glucose in the Erasmus Rucphen Family study (n = 2,564) and tested the possible causal effect of each metabolite with glucose and type 2 diabetes and vice versa. We detected fourteen paths with potential causal effects by MR, following pathway based sensitivity analysis. Our results suggest that elevated plasma triglycerides might be partially responsible for increased glucose level and type 2 diabetes risk, which is consistent with previous reports. Additionally, elevated high-density lipoprotein (HDL) components i.e. S-HDL-triglycerides might have a causal role of elevating glucose levels. In contrast, large (L) and extra-large (XL) HDL lipid components i.e. XL-HDL-cholesterol, XL-HDL-free cholesterol, XL-HDL-phospholipids, L-HDL-cholesterol and L-HDL-free cholesterol as well as HDL-cholesterol seem to be protective against increasing fasting glucose, but not against type 2 diabetes. Finally, we demonstrate that genetic predisposition to type 2 diabetes associates with increased levels of alanine, and decreased levels of phosphatidylcholine alkyl-acyl C42:5 and phosphatidylcholine alkyl-acyl C44:4. Our MR results provide novel insight into promising causal paths to and from glucose and type 2 diabetes and underline the value of additional information from high resolution metabolomics over classical biochemistry.

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X Demographics

The data shown below were collected from the profiles of 4 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 95 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 95 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 26%
Student > Ph. D. Student 15 16%
Student > Bachelor 8 8%
Student > Master 6 6%
Student > Doctoral Student 5 5%
Other 12 13%
Unknown 24 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 21%
Medicine and Dentistry 19 20%
Agricultural and Biological Sciences 7 7%
Nursing and Health Professions 2 2%
Chemistry 2 2%
Other 12 13%
Unknown 33 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 February 2018.
All research outputs
#16,284,097
of 27,789,879 outputs
Outputs from Diabetes
#7,622
of 10,368 outputs
Outputs of similar age
#165,725
of 330,653 outputs
Outputs of similar age from Diabetes
#46
of 72 outputs
Altmetric has tracked 27,789,879 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 26th percentile – i.e., 26% 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 330,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.