Evidence map›Paper›PMID 29607455›Full record

ReviewHeart failure reviews2018

Epigenetic signatures in cardiac fibrosis, special emphasis on DNA methylation and histone modification.

Hui Tao, Zheng-Yu Song, Xuan-Sheng Ding, Jing-Jing Yang, Kai-Hu Shi, Jun Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

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  14. Cardiac fibrosis.Cardiovascular research · 2021
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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.

Hui TaoSchool of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, Jiangsu Province, China.
Zheng-Yu SongSchool of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, Jiangsu Province, China.
Xuan-Sheng DingSchool of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, Jiangsu Province, China. dxs0162@sina.com.
Jing-Jing YangDepartment of Pharmacology, The Second Hospital of Anhui Medical University, Hefei, 230601, China.
Kai-Hu ShiDepartment of Cardiothoracic Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, Jiangsu Province, China. ayskh163@163.com.
Jun LiSchool of pharmacy, Anhui Medical University, Hefei, 230032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac fibrosis is defined as excess deposition of extracellular matrix (ECM), resulting in tissue scarring and organ dysfunction. In recent years, despite the underlying mechanisms of cardiac fibrosis are still unknown, numerous studies suggest that epigenetic regulation of cardiac fibrosis. Cardiac fibrosis is regulated by a myriad of factors that converge on the transcription of genes encoding extracellular matrix protein, a process the epigenetic machinery plays a pivotal role. Epigenetic modifications contain three main processes: DNA methylation, histone modifications, and noncoding RNAs. Here, we review recent studies that have illustrated key roles for epigenetic events in the control of pro-fibrotic gene expression, and highlight the potential of molecule mechanisms that target epigenetic regulators as a means of treating cardiac fibrosis.

Indexed as

Epigenesis, GeneticAnimalsCardiomyopathiesDNA MethylationExtracellular MatrixFibrosisHistone CodeHumansMicroRNAsMyocardiumProtein Processing, Post-TranslationalMicroRNAsCardiac fibrosisDNA methylationEpigeneticHistone modificationNoncoding RNA

Identifiers

What OpenQuestion holds

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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.