Global surveillance of circulating microRNA for diagnostic and prognostic assessment of acute myocardial infarction based on the plasma small RNA sequencing.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Xiaomin Wang, Yaojun Lu, Ruiping Zhao, Bing Zhu, Jian Liu, Qiang Yue, Rina Wu, Shuwen Han, Yuanyuan Gao, Juan Chen, Jie Gong, Danna He, Teng Xu, Jianchao Ying
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引用次数: 0

Abstract

Background: Circulating microRNAs (miRNAs) are recently a rapidly increasing of interest as non-invasive biomarkers for diagnosis and prognosis of acute myocardial infarction (AMI). Previous studies revealed that several miRNAs exhibited the capacity for diagnosis and prognosis of AMI, the reasons why these circulating miRNAs are concerned as targets for investigation are quite cryptogenic, presumably due to the lack of clues provided by global surveillance at the transcriptome level, and the current data for some miRNAs are controversial and inconsistent among independent studies.

Methods: To comprehensively profiling the potential miRNAs for diagnosis and prognosis of AMI, we reported transcriptomes of circulating miRNAs in the plasma of 27 healthy controls, 64 AMI patients (37 STEMI and 27 NSTEMI) and 20 AMI patients who were subjected to reperfusion therapy. Meanwhile, the cTnI of AMI patients was parallel determined. Differentially-circulated miRNAs were analyzed between each group. All detected circulating miRNAs were examined by ROC analysis and then LASSO dimension reduction to obtain an optimal panel for diagnosis of AMI. A five-year period follow-up towards the AMI and reperfusion patients was performed, and the prognostic value of circulating miRNAs in these patients was estimated by using the Cox regression model, ROC and Kaplan-Meier curves.

Results: Comprehensive global differences of miRNAs transcriptome among AMI, reperfusion patients and healthy controls were identified. A total of 40 miRNAs, called high diagnostic performance miRNAs, including several previous well-studied miRNAs with AUC greater than 0.85 were shown to discriminate AMI with healthy controls. In addition, 29 miRNAs were analyzed to be strongly correlated with the plasma cTnI level, of which 20 overlapped with high diagnostic performance miRNAs. These overlapped miRNAs are over-represented in the pathways which actually reflect the pathological cause of myocardial infarction, as well as the regulation of gene expression and energetic pathway of cellular response to hypoxia. Finally, two miRNAs were analyzed to be significantly correlated to all-cause mortality.

Conclusion: This is the first time to survey plasma miRNAs for the development of AMI diagnostic and prognostic biomarkers at the transcriptome level. A subset of miRNAs exhibited potential diagnostic and prognostic merits for AMI.

基于血浆小 RNA 测序的用于急性心肌梗死诊断和预后评估的循环 microRNA 全球监测。
背景:循环微RNA(miRNA)作为诊断和预后急性心肌梗死(AMI)的非侵入性生物标志物,最近正迅速引起越来越多的关注。先前的研究显示,一些 miRNAs 具有诊断和预后急性心肌梗死的能力,但这些循环 miRNAs 成为研究目标的原因尚不明确,可能是由于缺乏转录组水平的全球监测所提供的线索,而且目前一些 miRNAs 的数据在独立研究中存在争议和不一致:为了全面分析可能用于 AMI 诊断和预后的 miRNAs,我们报告了 27 名健康对照组、64 名 AMI 患者(37 名 STEMI 和 27 名 NSTEMI)和 20 名接受再灌注治疗的 AMI 患者血浆中循环 miRNAs 的转录组。同时,还测定了 AMI 患者的 cTnI。分析了各组间不同的循环 miRNA。对所有检测到的循环 miRNA 进行 ROC 分析,然后进行 LASSO 降维,以获得诊断 AMI 的最佳面板。对 AMI 和再灌注患者进行了为期五年的随访,并利用 Cox 回归模型、ROC 和 Kaplan-Meier 曲线估算了循环 miRNA 在这些患者中的预后价值:结果:发现了AMI、再灌注患者和健康对照组之间miRNAs转录组的全面差异。结果显示,共有 40 个 miRNAs(被称为高诊断性能 miRNAs)能区分 AMI 和健康对照组,其中包括几个之前已被充分研究的 miRNAs,其 AUC 大于 0.85。此外,还分析了 29 个与血浆 cTnI 水平密切相关的 miRNA,其中 20 个与高诊断性能 miRNA 重叠。这些重叠的 miRNA 在反映心肌梗死病理原因的通路、基因表达调控和细胞对缺氧反应的能量通路中都有较高的代表性。最后,分析发现两个 miRNA 与全因死亡率显著相关:这是首次从转录组水平研究血浆 miRNA,以开发 AMI 诊断和预后生物标志物。一部分 miRNAs 对 AMI 的诊断和预后具有潜在价值。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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