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使用microRNA配置文件和机器学习识别高血压亚型

Smarti Reel¹, Parminder S Reel¹, Josie Van Kralingen²

¹Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee DD2 4BF, United Kingdom.

European journal of endocrinology

|March 19, 2025

概括

这项研究表明,循环中的microRNAs (miRNAs) 可以帮助区分内分泌高血压 (EHT) 和初级高血压 (PHT). 机器学习为准确的EHT亚型诊断确定了特定的miRNA.

科学领域:

发现生物标志物的发现.
基因组学就是基因组学.
心血管研究的心血管研究.

背景情况:

高血压影响了三分之一的成年人,主要高血压 (PHT) 是最常见的.
内分泌高血压 (EHT),约10%的病例,来自诸如原发性阿尔多斯特隆症 (PA),库辛综合征 (CS) 或染色细胞瘤/对干细胞瘤 (PPGL) 等疾病.
对于EHT的诊断往往是错误的,延迟了治疗,导致管理效率低下.

研究的目的:

识别循环中的微RNA (miRNA) 生物标记物,以区分EHT及其亚型与PHT.
评估机器学习 (ML) 在使用miRNA配置文件对高血压类型的分类中的有效性.

主要方法:

循环miRNA特征的系统分析.
应用8种监督机器学习方法进行分类和预测.
使用miRNA数据来区分EHT亚型 (PA,CS,PPGL) 和PHT.

主要成果:

机器学习模型实现了高精度:从PHT分类PPGL,CS和EHT的AUC为0.9.
模型在区分PA与PHT时达到0.8的AUC.
已发现的关键循环miRNA包括hsa-miR-15a-5p和hsa-miR-32-5p.

结论:

循环中的miRNAs显示出作为ETH的诊断生物标志物的巨大潜力.
机器学习是识别高血压诊断的信息性miRNA的可行工具.

关键词:

诊断诊断诊断诊断诊断这种高血压,高血压.机器学习是机器学习.这是一个微型RNA.

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相关概念视频

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...