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Lipid changes due to fenofibrate treatment are not associated with changes in DNA methylation patterns in the GOLDN study

Overview of attention for article published in Frontiers in Genetics, September 2015
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Title
Lipid changes due to fenofibrate treatment are not associated with changes in DNA methylation patterns in the GOLDN study
Published in
Frontiers in Genetics, September 2015
DOI 10.3389/fgene.2015.00304
Pubmed ID
Authors

Mithun Das, M. Ryan Irvin, Jin Sha, Stella Aslibekyan, Bertha Hidalgo, Rodney T. Perry, Degui Zhi, Hemant K. Tiwari, Devin Absher, Jose M. Ordovas, Donna K. Arnett

Abstract

Fenofibrate lowers triglycerides (TG) and raises high density lipoprotein cholesterol (HDLc) in dyslipidemic individuals. Several studies have shown genetic variability in lipid responses to fenofibrate treatment. It is, however, not known whether epigenetic patterns are also correlated with the changes in lipids due to fenofibrate treatment. The present study was therefore undertaken to examine the changes in DNA methylation among the participants of Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study. A total of 443 individuals were studied for epigenome-wide changes in DNA methylation, assessed using the Illumina Infinium HumanMethylation450 array, before and after a 3-week daily treatment with 160 mg of fenofibrate. The association between the change in DNA methylation and changes in TG, HDLc, and low-density lipoprotein cholesterol (LDLc) were assessed using linear mixed models adjusted for age, sex, baseline lipids, and study center as fixed effects and family as a random effect. Changes in DNA methylation were not significantly associated with changes in TG, HDLc, or LDLc after 3 weeks of fenofibrate for any CpG. CpG changes in genes known to be involved in fenofibrate response, e.g., PPAR-α, APOA1, LPL, APOA5, APOC3, CETP, and APOB, also did not show evidence of association. In conclusion, changes in lipids in response to 3-week treatment with fenofibrate were not associated with changes in DNA methylation. Studies of longer duration may be required to detect treatment-induced changes in methylation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Netherlands 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Student > Doctoral Student 7 22%
Other 3 9%
Student > Master 2 6%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 31%
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 6 19%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Mathematics 2 6%
Other 1 3%
Unknown 4 13%
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 13 July 2016.
All research outputs
#18,142,662
of 23,306,612 outputs
Outputs from Frontiers in Genetics
#6,257
of 12,325 outputs
Outputs of similar age
#186,233
of 275,490 outputs
Outputs of similar age from Frontiers in Genetics
#46
of 60 outputs
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So far Altmetric has tracked 12,325 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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