Evidence map›Paper›PMID 29115576›Full record

ArticleInternational journal of molecular medicine2018

Genome-wide DNA methylome alterations in acute coronary syndrome.

Dandan Li, Jing Yan, Yunlong Yuan, Cheng Wang, Jia Wu, Qingwen Chen, Jiaxi Song, Junjun Wang

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Epigenetics · 2022
    Article
  8. Article
  9. DNA Methylation Aberrant in Atherosclerosis.Frontiers in pharmacology · 2022
    Review
  10. Article
  11. NCell death & disease · 2020
    Review
  12. Histone acetylation and DNA methylation in ischemia/reperfusion injury.Clinical science (London, England : 1979) · 2019
    Review
  13. Article
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

8 authors at 2 institutions in 1 country.

Dandan LiDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Jing YanDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Yunlong YuanDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Cheng WangDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Jia WuDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Qingwen ChenDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Jiaxi SongDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Junjun WangDepartment of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute coronary syndrome (ACS) is a common disease with high mortality and morbidity rates. The methylation status of blood DNA may serve as a potential early diagnosis and prevention biomarker for numerous diseases. The present study was designed to explore novel genome-wide aberrant DNA methylation patterns associated with ACS. The Infinium HumanMethylation450 assay was used to examine genome-wide DNA methylation profiles in 3 pairs of ACS and control group samples. Epigenome-wide DNA methylation, genomic distribution, Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. The results were confirmed using methylation-specific polymerase chain reaction (MSP) and Sequenom MassARRAY analyses in ACS, stable coronary artery disease (SCAD) and control samples. A total of 11,342 differentially methylated (DM) 5'-C-phosphate-G-3' (CpG) sites were identified, including 8,865 hypomethylated and 2,477 hypermethylated CpG sites in the ACS group compared with the control samples. They varied in frequency across genomic compartments, but were particularly notable in gene bodies and shores. The results of GO term and KEGG pathway enrichment analyses revealed that the methylated genes were associated with certain biological processes and pathways. Despite the considerable variability in methylation data, the candidate selected possessed significant methylation alteration in mothers against decapentaplegic homolog 3 (SMAD3) transcription start site 155 (Chr1:67356838-Chr1:67356942). MSP analysis from 81 ACS samples, 74 SCAD samples and 53 healthy samples, and Sequenom MassARRAY analysis, confirmed that differential CpG methylation of SMAD3 was significantly corrected with the reference results of the HumanMethylation450 array. The data identified an ACS-specific DNA methylation profile with a large number of novel DM CpG sites, some of which may serve as candidate markers for the early diagnosis of ACS.

Indexed as

Acute Coronary SyndromeAgedCpG IslandsDNA MethylationEpigenesis, GeneticFemaleGenome, HumanHumansMaleMiddle AgedSmad3 ProteinSmad3 ProteinSMAD3 protein, human

Identifiers

PMID29115576
PMCPMC5746328
OpenAlexW2765457779

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.