Evidence map›Paper›PMID 36561967›Full record

ArticleExperimental and therapeutic medicine2022

Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction.

Yong-Hao Jiang, Su-Ying Wu, Zhen Wang, Lei Zhang, Juan Zhang, Yan Li, Chenglong Liu, Wen-Zhe Wu, Yi-Tao Xue

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Potential role of SIRT1 in cell ferroptosis.Frontiers in cell and developmental biology · 2025
    Review
  3. Article
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.

Yong-Hao JiangCardiovascular Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Su-Ying WuForeign Language College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Zhen WangCardiovascular Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Lei ZhangForeign Language College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Juan ZhangCardiovascular Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Yan LiCardiovascular Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Chenglong LiuForeign Language College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Wen-Zhe WuCardiovascular Department, Dezhou Municipal Hospital, Dezhou, Shandong 253000, P.R. China.
Yi-Tao XueCardiovascular Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250000, P.R. China.
Shandong University of Traditional Chinese Medicine · CNDezhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since ferroptosis is considered to be a notable cause of cardiomyocyte death, inhibiting ferroptosis has become a novel strategy in reducing cardiac cell death and improving cardiopathic conditions. Therefore, the aim of the present study was to search for ferroptosis-related hub genes and determine their diagnostic value in myocardial infarction (MI) to aid in the diagnosis and treatment of the disease. A total of 10,286 DEGs were identified, including 6,822 upregulated and 3.464 downregulated genes in patients with MI compared with healthy controls. After overlapping with ferroptosis-related genes, 128 ferroptosis-related DEGs were obtained. WGCNA successfully identified a further eight functional modules, from which the blue module had the strongest correlation with MI. Blue module genes and ferroptosis-related differentially expressed genes were overlapped to obtain 20 ferroptosis-related genes associated with MI. Go and KEGG analysis showed that these genes were mainly enriched in cellular response to chemical stress, trans complex, transferring, phosphorus-containing groups, protein serine/threonine kinase activity, FoxO signaling pathway. Hub genes were obtained from 20 ferroptosis-related genes through the PPI network. The expression of hub genes was found to be down-regulated in the MI group. Finally, the miRNAs-hub genes and TFs-hub genes networks were constructed. The GSE141512 dataset and the use of RT-qPCR assays on patient blood samples were used to confirm these results. The results showed that ATM, PIK3CA, MAPK8, KRAS and SIRT1 may play key roles in the development of MI, and could therefore be novel markers or targets for the diagnosis or treatment of MI.

Indexed as

biomarkerdiagnosisferroptosismyocardial infarctionweighted gene co-expression network analysis

Identifiers

PMID36561967
PMCPMC9748705
OpenAlexW4308588399

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.