Evidence map›Paper›PMID 36238493›Full record

ArticleComputational and mathematical methods in medicine2022

Integrated Analysis and Validation of Autophagy-Related Genes and Immune Infiltration in Acute Myocardial Infarction.

Yan Ding, Feng Wang, Yousheng Guo, Mingwei Yang, Huanji Zhang

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Yan DingDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-7693-7639
Feng WangDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-6774-3680
Yousheng GuoDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0001-7737-4877
Mingwei YangDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-6691-7749
Huanji ZhangDepartment of Cardiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-2920-2928
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocardial infarction (AMI) is one of the most critical conditions of coronary heart disease with many uncertainties regarding reduction of ischemia/reperfusion injury, medical treatment strategies, and other aspects. The inflammatory immune response has a bidirectional regulatory role in AMI and plays an essential role in myocardial remodeling after AMI. The purpose of our research was tantamount to explore possible mechanisms of AMI and to analyze the relationship with the immune microenvironment. Methods: We firstly analyzed the expression profile of GSE61144 and HADb to identify differentially expressed autophagy-related genes (DEARGs). Then, we performed GO, functional enrichment analysis, and constructed PPI network by Metascape. A lncRNA-miRNA-mRNA ceRNA network was built, and hub genes were extracted by Cytoscape. After that, we used CIBERSORT algorithm to estimate the proportion of immunocytes, followed by correlation analysis to find relationships between hub DEARGs and immunocyte subsets. Finally, we verified those hub genes in another dataset and cellular experiments qPCR. Results: Compared with controls, we identified 44 DEARGs and then filtered the genes of MCODE by constructing PPI network for further analysis. A total of 45 lncRNAs, 24 miRNAs, 19 mRNAs, 162 lncRNA-miRNA pairs, and 37 mRNA-miRNA pairs were used to construct a ceRNA network, and 4 hub DEARGs (BCL2, MAPK1, RAF1, and PRKAR1A) were extracted. We then estimated 5 classes of immunocytes that differed between AMI and controls. According to the results of correlation analysis, these 4 hub DEARGs may play modulatory effects in immune infiltrating cells, notably in CD8 Conclusion: Our findings suggest that those hub DEARGs (BCL2, MAPK1, RAF1, and PRKAR1A) and immunocytes probably play functions in the progression of AMI, providing potential diagnostic markers and new perspectives for treatment of AMI.

Indexed as

MicroRNAsMyocardial InfarctionRNA, Long NoncodingAutophagyCD8-Positive T-LymphocytesHumansProto-Oncogene Proteins c-bcl-2RNA, MessengerMicroRNAsProto-Oncogene Proteins c-bcl-2RNA, Long NoncodingRNA, Messenger

Identifiers

PMID36238493
PMCPMC9553342
OpenAlexW4301186696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.