Evidence map›Paper›PMID 37662558›Full record

ArticleInternational journal of genomics2023

Identification of Potential Abnormal Methylation-Modified Genes in Coronary Artery Ectasia.

Xiuchun Yang, Yijun Zong, Zhentian Zhang, Yan Zhao, Xueying Gao, Jie Zhang, Qian Hou, Renyi Li, Bing Xiao

Open access · goldAbstract read
In one paragraph

Article in International journal of genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Xiuchun YangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-1096-7237
Yijun ZongSchool of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, China.ORCID https://orcid.org/0009-0008-5921-3728
Zhentian ZhangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0006-4043-6222
Yan ZhaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0005-2333-8682
Xueying GaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0000-4419-4650
Jie ZhangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-4057-109X
Qian HouDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0006-5732-0082
Renyi LiDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0001-8759-2509
Bing XiaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0001-9526-4575
Hebei Medical University · CNHebei University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery ectasia (CAE) is an easily recognized abnormality of coronary artery anatomy and morphology. However, its pathogenesis remains unclear. Objectives: This study aimed to identify abnormal methylation-modified genes in patients with CAE, which could provide a research basis for CAE. Methods: Peripheral venous blood samples from patients with CAE were collected for RNA sequencing to identify differentially expressed genes (DEGs), followed by functional enrichment. Then, the DNA methylation profile of CAE was downloaded from GSE87016 (HumanMethylation450 BeadChip data, involving 11 cases and 12 normal controls) to identify differentially methylated genes (DMGs). Finally, after taking interaction genes between DEGs and DMGs, abnormal methylation-modified genes were identified, followed by protein-protein interaction analysis and expression validation using reverse transcriptase polymerase chain reaction. Results: A total of 152 DEGs and 4318 DMGs were obtained from RNA sequencing and the GSE87016 dataset, respectively. After taking interaction genes, 9 down-regulated DEGs due to hypermethylation and 11 up-regulated DEGs due to hypomethylation were identified in CAE. A total of 10 core abnormal methylation-modified genes were identified, including six down-regulated DEGs due to hypermethylation (netrin G1, ADAM metallopeptidase domain 12, immunoglobulin superfamily member 10, sarcoglycan dela, Dickkopf WNT signaling pathway inhibitor 3, and GATA binding protein 6), and four up-regulated DEGs due to hypomethylation (adrenomedullin, ubiquitin specific peptidase 18, lymphocyte antigen 6 family member E, and MX dynamin-like GTPase 1). Some signaling pathways were identified in patients with CAE, including cell adhesion molecule, O-glycan biosynthesis, and the renin-angiotensin system. Conclusions: Abnormal methylation-modified DEGs involved in signaling pathways may be involved in CAE development.

Identifiers

PMID37662558
PMCPMC10474963
OpenAlexW4386203703

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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.