Evidence map›Paper›PMID 29713391›Full record

ArticleClinical epigenetics2018

Metabolic and inflammatory biomarkers are associated with epigenetic aging acceleration estimates in the GOLDN study.

Marguerite R Irvin, Stella Aslibekyan, Anh Do, Degui Zhi, Bertha Hidalgo, Steven A Claas, Vinodh Srinivasasainagendra, Steve Horvath, Hemant K Tiwari, Devin M Absher and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 4% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
  2. A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Pooled it
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8 more citing papers are in PubMed but not listed here.

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 5 institutions in 1 country.

Marguerite R Irvin1Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35294 USA.
Stella Aslibekyan1Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35294 USA.
Anh Do1Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35294 USA.
Degui Zhi2School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA.
Bertha Hidalgo1Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35294 USA.
Steven A Claas3College of Public Health, University of Kentucky, Lexington, KY USA.
Vinodh Srinivasasainagendra4Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL USA.
Steve Horvath5Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 USA.
Hemant K Tiwari4Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL USA.
Devin M Absher8HudsonAlpha Institute for Biotechnology, Huntsville, AL USA.
Donna K Arnett3College of Public Health, University of Kentucky, Lexington, KY USA.
University of Alabama at Birmingham · USUniversity of Kentucky · USHudsonAlpha Institute for Biotechnology · USThe University of Texas Health Science Center at Houston · USUniversity of California, Los Angeles · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
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
Epigenomics of Cardiometabolic Diseases in Mexican AmericansK01HL130609 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HIDALGO, BERTHA · 2016 to 2019
$568k
Integrative -omics study of postprandial lipoprotein phenotypesK01HL136700 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ASLIBEKYAN, STELLA · 2017 to 2018
$295k
NHLBI NIH HHS K01 HL130609NHLBI NIH HHS K01 HL136700NHLBI NIH HHS R01 HL104135NHLBI NIH HHS U01 HL072524NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Background: Recently, epigenetic age acceleration-or older epigenetic age in comparison to chronological age-has been robustly associated with mortality and various morbidities. However, accelerated epigenetic aging has not been widely investigated in relation to inflammatory or metabolic markers, including postprandial lipids. Methods: We estimated measures of epigenetic age acceleration in 830 Caucasian participants from the Genetics Of Lipid Lowering Drugs and diet Network (GOLDN) considering two epigenetic age calculations based on differing sets of 5'-Cytosine-phosphate-guanine-3' genomic site, derived from the Horvath and Hannum DNA methylation age calculators, respectively. GOLDN participants underwent a standardized high-fat meal challenge after fasting for at least 8 h followed by timed blood draws, the last being 6 h postmeal. We used adjusted linear mixed models to examine the association of the epigenetic age acceleration estimate with fasting and postprandial (0- and 6-h time points) low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglyceride (TG) levels as well as five fasting inflammatory markers plus adiponectin. Results: Both DNA methylation age estimates were highly correlated with chronological age ( Conclusions: Our study demonstrates that epigenetic age acceleration in blood relates to inflammatory biomarkers and certain lipid classes in Caucasian individuals of the GOLDN study. Future studies should consider epigenetic age acceleration in other tissues and extend the analysis to other ethnic groups.

Indexed as

DNA MethylationAdiponectinAdultAgedAgingBiomarkersCpG IslandsC-Reactive ProteinDiet, High-FatEpigenomicsFastingFemaleGenome-Wide Association StudyHumansInterleukin-6Lipoproteins, HDLAdiponectinADIPOQ protein, humanBiomarkersC-Reactive ProteinIL6 protein, humanInterleukin-6Lipoproteins, HDLLipoproteins, LDLTNF protein, humanTriglyceridesTumor Necrosis Factor-alphaAdiponectinAge accelerationCholesterolEpigenetic ageEpigeneticsInflammationInflammatory markersLipidsPostprandialTriglycerides

Identifiers

PMID29713391
PMCPMC5907301
OpenAlexW2800354199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 OpenQuestion graph.