Evidence map›Paper›PMID 26483836›Full record

ArticleFrontiers in genetics2015

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

Mithun Das, M Ryan Irvin, Jin Sha, Stella Aslibekyan, Bertha Hidalgo, Rodney T Perry, Degui Zhi, Hemant K Tiwari, Devin Absher, Jose M Ordovas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  16. Epigenetics of Lipid Phenotypes.Current cardiovascular risk reports · 2016
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Mithun DasDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
M Ryan IrvinDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Jin ShaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Stella AslibekyanDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Bertha HidalgoDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Rodney T PerryDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Degui ZhiDepartment of Biostatistics, Section on Statistical Genetics, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Hemant K TiwariDepartment of Biostatistics, Section on Statistical Genetics, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Devin AbsherAbsher Laboratory, HudsonAlpha Institute of Biotechnology Huntsville, AL, USA.
Jose M OrdovasNutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University Boston, MA, USA.
Donna K ArnettDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
University of Alabama at Birmingham · USHudsonAlpha Institute for Biotechnology · US

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
Epigenetic Determinants of Lipid Response to Dietary Fat and FenofibrateR01HL104135 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2010 to 2015
$5.5M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
NHLBI NIH HHS R01 HL104135NHLBI NIH HHS T32 HL072757NHLBI NIH HHS U01 HL072524
6 · The paper itself

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.

Indexed as

cardiovascular diseaseDNA methylationdyslipidemiaepigenetic changesfenofibratelipid lowering drug

Identifiers

PMID26483836
PMCPMC4586504
OpenAlexW2138383970

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.