Evidence map›Paper›PMID 39243066›Full record

ArticleJournal of cardiothoracic surgery2024

Abnormal expression of circ_0013958 in patients with acute myocardial infarction (AMI) and its influence on prognosis.

Fei Sun, Shenglan Zou, Xiaomin Li, Xueya Liu

Abstract read
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Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Fei Sun *Department of Cardiology, DeltaHealth Hospital•Shanghai, No. 109, Xule Road, Xujing Town, Qingpu District, Shanghai, 201702, China. sunfeidr@163.com.
Shenglan Zou *Department of Cardiology, Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China.
Xiaomin LiDepartment of Cardiology, DeltaHealth Hospital•Shanghai, No. 109, Xule Road, Xujing Town, Qingpu District, Shanghai, 201702, China.
Xueya LiuDepartment of Cardiology, DeltaHealth Hospital•Shanghai, No. 109, Xule Road, Xujing Town, Qingpu District, Shanghai, 201702, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to investigate the diagnostic value of circ_0013958 in acute myocardial infarction (AMI) patients and its influence on the prognosis of AMI patients.

methodsThe GSE160717 dataset was downloaded from the NCBI database and differentially expressed genes were analyzed between the control group and the AMI group. The up-regulated genes included circ_0013958. The expression of circ_0013958 in both groups was further verified by RT-qPCR. The Receiver Operating Characteristic curve was used to evaluate the diagnostic value of circ_0013958 in AMI. Pearson correlation analysis was used to examine the correlation between circ_0013958 levles and biochemical indicators. Binary logistic regression was used to analyze the risk factors affecting the occurrence of AMI. Prognostic analysis was performed using COX regression analysis and the Kaplan-Meier Curve.

resultsCompared to the control group, the level of circ_0013958 in AMI patients increased. Circ_0013958 can effectively distinguish AMI patients from non-AMI patients. Circ_0013958 levels were positively correlated with cTnI, LDH, CRP and TC levels. The elevated level of circ_0013958 was an independent risk factor for the occurrence of AMI. Higher circ_0013958 levels were also associated with the occurrence of major adverse cardiac events (MACEs) in AMI patients. Additionally, elevated circ_0013958 levels reduced the survival probability of AMI patients.

conclusionCirc_0013958 levels were up-regulated in AMI patients. It can be used as a diagnosis biomarker for AMI. The level of circ_0013958 was correlated with the disease severity and was an independent risk factor for the occurrence of AMI. Elevated circ_0013958 levels were associated with poor prognosis in AMI patients.

Indexed as

Myocardial InfarctionRNA, CircularAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisRisk FactorsROC CurveBiomarkersRNA, CircularAcute myocardial infarctionBiomarkersCirc_0013958DiagnosisPrognosis

Identifiers

PMID39243066
PMCPMC11378589

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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.