Evidence map›Paper›PMID 28884387›Full record

ArticleHerz2018

Genome-wide DNA methylation patterns in coronary heart disease.

X Wang, A-H Liu, Z-W Jia, K Pu, K-Y Chen, H Guo

Abstract read
PubMed Publisher
In one paragraph

Article in Herz, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Cardiac Roles of Serotonin (5-HT) and 5-HT-Receptors in Health and Disease.International journal of molecular sciences · 2023
    Review
  4. Vulnerable Atherosclerotic Plaque: Is There a Molecular Signature?International journal of molecular sciences · 2022
    Review
  5. DNA Methylation Aberrant in Atherosclerosis.Frontiers in pharmacology · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Histone acetylation and DNA methylation in ischemia/reperfusion injury.Clinical science (London, England : 1979) · 2019
    Review
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

6 authors at 2 institutions in 1 country.

X WangDepartment of Cardiology, No. 254 Hospital of PLA, 300142, Tianjin, China.
A-H LiuDepartment of Cardiology, First Affiliated Hospital of the Fourth Military Medical University, 710032, Xi-An, Shaanxi, PR, China.
Z-W JiaDepartment of Cardiology, No. 254 Hospital of PLA, 300142, Tianjin, China.
K PuDepartment of Cardiology, No. 254 Hospital of PLA, 300142, Tianjin, China.
K-Y ChenDepartment of Cardiology, Second Affiliated Hospital of Medical University of Tianjin, 300000, Tianjin, Xinjiang, PR, China.
H GuoDepartment of Geriatric Medicine, No. 254 Hospital of PLA, No. 60 Huangwei Road, Hebei District, 300142, Tianjin, China. guohuacar254@126.com.
Air Force Medical University · CNSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo better understand the molecular mechanisms of atherosclerosis, we conducted a comparative analysis of DNA methylation patterns in right coronary arteries in the area of advanced atherosclerotic plaques (CAP), great saphenous vein (GSV), and internal mammary artery (IMA) of patients affected by coronary heart disease.

methodsDNA methylation data (accession number E‑GEOD-62867) were divided into three paired groups: CAP vs. IMA, CAP vs. GSV, and IMA vs. GSV. Differentially methylated genes (DMGs) were extracted to analyze the changes in the DMGs in the three different tissues. The gplots package was used for the clustering and heatmap analysis of DMGs. Subsequently, DMG-related pathways were identified using DAVID (Database for Annotation, Visualization and Integrated Discovery) and transcription factors (TFs) were predicted.

resultsBased on the filtering criterion of p < 0.05, and a mean beta value difference of ≥0.2, there were 252, 373, and 259 DMGs, respectively, in the CAP vs. IMA, CAP vs. GSV, and IMA vs. GSV groups. Interestingly, the S100A10 gene was hypomethylated in CAP compared with IMA and GSV. Clustering and heatmap analyses suggested that DMGs were segregated into two distinct clusters. Hypermethylated genes in CAP as compared with GSV were only involved in the pathway of fat digestion and absorption, while hypomethylated genes in CAP compared with GSV mainly participated in immune response-associated pathways (cytokine-cytokine receptor interaction, MAPK signaling pathway).

conclusionThe DNA methylation differences in vascular tissues of patients with coronary artery disease may provide new insights into the mechanisms underlying the development of atherosclerosis. The functions identified here-cytokine-cytokine receptor interaction, MAPK signaling pathway, DMG (S100A10), and TF (NF-kB)-may serve as potential targets in the treatment of atherosclerosis.

Indexed as

Coronary Artery DiseaseDNA MethylationPlaque, AtheroscleroticAgedDNAHumansMaleMammary ArteriesMiddle AgedSaphenous VeinDNAAtherosclerosisCoronary artery diseaseDNA MethylationTranscription factorsTreatment

Identifiers

PMID28884387
OpenAlexW2755801697

What OpenQuestion holds

Textmetadata
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.