Evidence map›Paper›PMID 41454082›Full record

ReviewFrontiers of medicine2025

Roles of different methylation modifications in cardiovascular disease.

Yuan Lin, Jennifer Wang, Xin Liu, Yong Zhang, Baofeng Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Frontiers of medicine, 2025. 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
–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

0 citing papers in PubMed.

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

5 authors.

Yuan LinState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Pharmacy, and Department of Cardiology, the Second Affiliated Hospital, Harbin Medical University, Harbin, 150081, China.
Jennifer WangDepartment of Medicine, Faculty of Medicine, Université de Laval, Quebec City, Quebec, G1V 0A6, Canada.
Xin LiuState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Pharmacy, and Department of Cardiology, the Second Affiliated Hospital, Harbin Medical University, Harbin, 150081, China.
Yong ZhangState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Pharmacy, and Department of Cardiology, the Second Affiliated Hospital, Harbin Medical University, Harbin, 150081, China. hmuzhangyong@hotmail.com.
Baofeng YangDepartment of Pharmacology (SKLFZCD, State Key Laboratory-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin, 150081, China. yangbf@ems.harbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease remains the foremost contributor to mortality and disability globally, even with significant advancements in prevention, diagnosis, and early intervention. A comprehensive insight into cardiovascular diseases and the intrinsic molecular mechanisms is critical to innovating more effective therapeutic interventions for prevention and therapy. Latest advancements within the realm of epigenetic modulation, especially methylation modification, of gene expression have corroborated the impacts of epigenetic modifications in governing the pathogenesis and progression of cardiovascular diseases and suggested the viability of epigenetic mechanisms as emerging targets for the development of new diagnostic and therapeutic strategies. In this review, we first provide a brief overview of the biological processes of methylation modifications, including DNA methylation, protein methylation, and RNA N

Indexed as

cardiovascular diseaseDNA methylationm6Aprotein methylation

Identifiers

What Socratic 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 Socratic graph.