Evidence map›Paper›PMID 40093945›Full record

ArticleJournal of inflammation research2025

Insights From m6A RNA Methylation: Biomarkers for Diagnosis of Acute Myocardial Infarction.

Wenjun Fan, Wenbin Zhao, Renjie Hu, Chen Wei, Lixian Sun, Tong Hou, Ran Li, Qinghua Sun, Cuiqing Liu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Wenjun FanSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Wenbin ZhaoSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Renjie HuSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Chen WeiDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People's Republic of China.ORCID 0000-0001-7615-4215
Lixian SunDepartment of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People's Republic of China.ORCID 0000-0001-9814-0965
Tong HouSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Ran LiSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Qinghua SunSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Cuiqing LiuSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Acute myocardial infarction (AMI) is a major contributor to death. The purpose of this study is to explore circulating biomarkers for AMI diagnosis from the perspectives of immunological microenvironment and N6-methyladenosine (m6A) RNA methylation regulation. Patients and Methods: The GSE59867 dataset was used to download platform and probe data for conducting differential analysis of m6A regulators. A diagnostic nomogram was created utilizing the random-forest method and evaluated for predictive power. m6A-related gene patterns were identified, and their immune microenvironment characteristics were analyzed. Peripheral blood samples were obtained for validation in patient-based investigations using RT-qPCR. The association between m6A regulators and clinical parameters was examined via Spearman correlation analysis. Results: With a predictive nomogram model developed using key m6A regulators, two distinct m6A subtypes were identified, showing significant variations in infiltrating immunocyte abundance. In confirmation of the model prediction, examination of patient blood identified METTL3, WTAP, RBM15, ALKBH5, FTO, and FMR1 as novel circulating biomarkers for AMI diagnosis. METTL3 and FTO were identified as promising biomarkers for AMI given that they showed a positive correlation with left ventricular ejection fraction. Conclusion: The study identified six m6A regulators as circulating biomarkers for AMI diagnosis and suggested a potential role for m6A-mediated immune cell infiltration in the pathogenesis of AMI.

Indexed as

acute myocardial infarctionbiomarkerdiagnosisimmune cell infiltrationN6-methyladenosine

Identifiers

PMID40093945
PMCPMC11910935

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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.