Evidence map›Paper›PMID 30529831›Full record

ArticleAtherosclerosis2019

Atherosclerosis-associated differentially methylated regions can reflect the disease phenotype and are often at enhancers.

Michelle Lacey, Carl Baribault, Kenneth C Ehrlich, Melanie Ehrlich

Abstract read
In one paragraph

Article in Atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

27 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Making sense of the ageing methylome.Nature reviews. Genetics · 2022
    Review
  12. Emerging mechanisms of elastin transcriptional regulation.American journal of physiology. Cell physiology · 2022
    Review
  13. Article
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  15. Article
  16. DNA Methylation Aberrant in Atherosclerosis.Frontiers in pharmacology · 2022
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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

4 authors at 1 institution in 1 country.

Michelle LaceyTulane Cancer Center, Tulane University Health Sciences Center, LA, 70112, USA; Department of Mathematics, Tulane University, New Orleans, LA, 70118, USA.
Carl BaribaultTulane Cancer Center, Tulane University Health Sciences Center, LA, 70112, USA.
Kenneth C EhrlichCenter for Bioinformatics and Genomics, Tulane University Health Sciences Center, USA.
Melanie EhrlichTulane Cancer Center, Tulane University Health Sciences Center, LA, 70112, USA; Center for Bioinformatics and Genomics, Tulane University Health Sciences Center, USA; Hayward Genetics Center, Tulane University Health Sciences Center, New Orleans, LA, 70112, USA. Electronic address: ehrlich@tulane.edu.
Tulane University · US

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
FSHD: Chromatin Structure, Looping, &ExpressionR01NS048859 · NINDS · TULANE UNIVERSITY OF LOUISIANA · PI EHRLICH, MELANIE E · 2004 to 2009
$2.0M
NCATS NIH HHS UL1 TR001417NCATS NIH HHS UL1 TR003096NINDS NIH HHS R01 NS048859
6 · The paper itself

Abstract

BACKGROUND AND

aimsAtherosclerosis is a widespread and complicated disease involving phenotypic modulation and transdifferentiation of vascular smooth muscle cells (SMCs), the predominant cells in aorta, as well as changes in endothelial cells and infiltrating monocytes. Alterations in DNA methylation are likely to play central roles in these phenotypic changes, just as they do in normal differentiation and cancer.

methodsWe examined genome-wide DNA methylation changes in atherosclerotic aorta using more stringent criteria for differentially methylated regions (DMRs) than in previous studies and compared these DMRs to tissue-specific epigenetic features.

resultsWe found that disease-linked hypermethylated DMRs account for 85% of the total atherosclerosis-associated DMRs and often overlap aorta-associated enhancer chromatin. These hypermethylated DMRs were associated with functionally different sets of genes compared to atherosclerosis-linked hypomethylated DMRs. The extent and nature of the DMRs could not be explained as direct effects of monocyte/macrophage infiltration. Among the known atherosclerosis- and contractile SMC-related genes that exhibited hypermethylated DMRs at aorta enhancer chromatin were ACTA2 (aorta α2 smooth muscle actin), ELN (elastin), MYOCD (myocardin), C9orf3 (miR-23b and miR-27b host gene), and MYH11 (smooth muscle myosin). Our analyses also suggest a role in atherosclerosis for developmental transcription factor genes having little or no previous association with atherosclerosis, such as NR2F2 (COUP-TFII) and TBX18.

conclusionsWe provide evidence for atherosclerosis-linked DNA methylation changes in aorta SMCs that might help minimize or reverse the standard contractile character of many of these cells by down-modulating aorta SMC-related enhancers, thereby facilitating pro-atherosclerotic phenotypic changes in many SMCs.

Indexed as

DNA MethylationEnhancer Elements, GeneticActinsAdultAged, 80 and overAminopeptidasesAortaAtherosclerosisCell DifferentiationCOUP Transcription Factor IIElastinEndothelial CellsEpigenesis, GeneticEpigenomicsFemaleGenome, HumanACTA2 protein, humanActinsAminopeptidasesAOPEP protein, humanCOUP Transcription Factor IIElastinMYH11 protein, humanMyocardinMyosin Heavy ChainsNR2F2 protein, humanNuclear ProteinsT-Box Domain ProteinsTbx18 protein, humanTrans-ActivatorsAtherosclerosisChromatinContractile phenotypeDNA methylationEnhancersSmooth muscle cellsSuper-enhancer

Identifiers

PMID30529831
PMCPMC6348116
OpenAlexW2903272892

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.