关键词: Acute myocardial infarction DNA photonic Wire FRET cascade System K-means clustering algorithm miRNA addition probe

Mesh : Humans MicroRNAs / genetics Fluorescence Resonance Energy Transfer Biosensing Techniques Myocardial Infarction / diagnosis Early Diagnosis Cluster Analysis DNA

来  源:   DOI:10.1016/j.bios.2023.115080

Abstract:
Early and accurate diagnosis of acute myocardial infarction (AMI) can significantly reduce patient mortality. A variety of miRNAs are found to dysregulate in AMI patients, but the up- or down-regulation of a specific miRNA may not be evident in the early stage, making it difficult to achieve accurate diagnosis. Here, proposing the design that DNA photonic wire (PW) with no spectral crosstalk would make an excellent template for miRNA conjoint analysis, we report the construction of a miRNA addition probe for the additive analysis of two up-regulated miRNAs (miR-133a and miR-208a) for early diagnosis of AMI in clinical serum samples. A three-dye non-crosstalk DNA PW is built to form the two-step fluorescence resonance energy transfer (FRET) cascade system, in which three paths can blocking the FRET cascade for separate or additive analysis of the two miRNAs. K-Means clustering algorithm is further utilized to classify the output signals of the miRNA addition probe, achieving a 100% accurate diagnosis of early AMI in both the training (n = 40) and validation (n = 19) cohorts of clinical serum samples.
摘要:
早期准确诊断急性心肌梗死(AMI)可显著降低患者死亡率。发现多种miRNA在AMI患者中失调,但特定miRNA的上调或下调在早期可能并不明显,很难做到准确诊断。这里,提出了没有光谱串扰的DNA光子线(PW)将成为miRNA联合分析的极好模板的设计,我们报道了一个miRNA添加探针的构建,用于两种上调的miRNA(miR-133a和miR-208a)的加性分析,用于临床血清样本中AMI的早期诊断.构建了三染料非串扰DNAPW,形成两步荧光共振能量转移(FRET)级联系统,其中三个路径可以阻断FRET级联,用于两个miRNA的单独或相加分析。进一步利用K-Means聚类算法对miRNA添加探针的输出信号进行分类,在临床血清样品的训练(n=40)和验证(n=19)队列中实现早期AMI的100%准确诊断。
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