Evidence map›Paper›PMID 36032780›Full record

ArticleMediators of inflammation2022

Identification of an Epigenetic Signature for Coronary Heart Disease in Postmenopausal Women's PBMC DNA.

Xiao Zhong, Ziguang Song, Pingping Gao, Mingyang Li, Zhongping Ning, Xiang Song

Abstract read
In one paragraph

Article in Mediators of inflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Xiao ZhongDepartment of Cardiology, The Fourth Hospital of Harbin Medical University, Harbin, China 150000.ORCID https://orcid.org/0000-0003-2883-3664
Ziguang SongDepartment of Cardiology, The Fourth Hospital of Harbin Medical University, Harbin, China 150000.
Pingping GaoZhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China 200000.
Mingyang LiDepartment of Cardiology, The Fourth Hospital of Harbin Medical University, Harbin, China 150000.
Zhongping NingZhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China 200000.
Xiang SongDepartment of Cardiology, The Fourth Hospital of Harbin Medical University, Harbin, China 150000.ORCID https://orcid.org/0000-0002-1575-2307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Menopause is accompanied with an increased risk of cardiovascular disease. DNA methylation may have a significant impact on postmenopausal women's development of coronary heart disease. DNA methylation alterations in peripheral blood mononuclear cells (PBMCs) from women with coronary heart disease and healthy controls were detected using the Illumina Infinium MethylationEPIC BeadChip platform in this work. We employed Sangerbox technology and the GO and KEGG databases to further study the pathogenesis of coronary heart disease in postmenopausal women. After that, we used functional epigenetic module analysis and Cytoscape to remove the hub genes from the protein-protein interaction networks. Five genes (FOXA2, PTRD, CREB1, CTNAP2, and FBN2) were the hub genes. Lipid accumulation, endothelial cell failure, inflammatory responses, monocyte recruitment and aggregation, and other critical biological processes were all influenced by these genes. Finally, we employed methylation-specific PCR to demonstrate that FOXA2 was methylated at a high level in postmenopausal women with coronary heart disease. To better understand coronary heart disease in postmenopausal women's molecular mechanisms, our study examine the major factors contributing to the state of DNA methylation modification, which will help discover novel diagnostic tools and treatment options.

Indexed as

Coronary DiseaseLeukocytes, MononuclearDNADNA MethylationEpigenesis, GeneticFemaleHumansPostmenopauseDNA

Identifiers

PMID36032780
PMCPMC9417773

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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.