Evidence map›Paper›PMID 35152560›Full record

ArticleJournal of cellular and molecular medicine2022

Genetic analysis of potential biomarkers and therapeutic targets in ferroptosis from coronary artery disease.

Xun Wu, Kele Qin, Chukwuemeka Daniel Iroegbu, Kun Xiang, Jun Peng, Jianjun Guo, Jinfu Yang, Chengming Fan

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Xun WuDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Kele QinDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Chukwuemeka Daniel IroegbuDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Kun XiangDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Jun PengHunan Provincial Key Laboratory of Cardiovascular Research, Central South University, Changsha, China.
Jianjun GuoHunan Fangsheng Pharmaceutical Co., Ltd., Changsha, China.
Jinfu YangDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Chengming FanDepartment of the Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-0497-1798
Central South University · CNRongsheng Petrochemical (China) · CN

Funding

The science and technology innovation Program of Hunan Province 2021RC2106
6 · The paper itself

Abstract

Ferroptosis plays a key role in the death of cells including cardiomyocytes, and it is related to a variety of cardiac diseases. However, the role of ferroptosis-related genes (FRGs) in coronary artery disease (CAD) is not well characterized. We downloaded CAD-related information and FRGs from the gene expression omnibus (GEO) database and Ferroptosis Database (FerrDb) respectively. A total of 10 CAD-related DE-FRGs were obtained, which were closely linked to autophagy regulation and immune response. Subsequently, CA9, CBS, CEBPG, HSPB1, SLC1A4, STMN1 and TRIB3 among the 10 DE-FRGs were identified as marker genes by LASSO and SVM-RFE algorithms, which had tolerable diagnostic capabilities. Subsequent functional enrichment analysis showed that these marker genes may play a corresponding role in CAD by participating in the regulation of immune response, amino acid metabolism, cell cycle and multiple pathways related to the pathogenesis of CAD. Furthermore, a total of 58 drugs targeting 7 marker genes had been obtained. On the contrary, the ceRNA network revealed a complex regulatory relationship based on the marker genes. Also, CIBERSORT analysis showed that the changes in the immune microenvironment of CAD patients may be related to CBS, HSPB1 and CEBPG. We developed a diagnostic potency and provided an insight for exploring the mechanism for CAD. Before clinical application, further research is needed to test its diagnostic value for CAD.

Indexed as

Coronary Artery DiseaseFerroptosisAmino Acid Transport System ASCBiomarkers, TumorGene Expression Regulation, NeoplasticHumansAmino Acid Transport System ASCBiomarkers, TumorSLC1A4 protein, humanbioinformaticscardiaccoronary artery diseasediagnosticferroptosisimmune microenvironment

Identifiers

PMID35152560
PMCPMC8995456
OpenAlexW4212890836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.