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基于文本挖掘识别出有希望的miRNA生物标志物用于糖尿病

Xin Li¹, Andrea Dai², Richard Tran³

¹Central Hospital Affiliated to Shandong First Medical University, Ophthalmology Department, Jinan, Shandong, China.

Frontiers in endocrinology

|August 10, 2023

概括

微RNAs (miRNAs) 是糖尿病的关键. 这项研究使用文本挖掘和机器学习来揭示miRNA-糖尿病网络,确定miR-146作为预测糖尿病及其并发症的有希望的生物标志物.

科学领域:

生物化学生物化学
遗传学遗传学是一种遗传学.
计算生物学计算生物学

背景情况:

微RNAs (miRNAs) 是关键的非编码RNAs参与糖尿病的发病.
对糖尿病中miRNAs的个别研究对其作用提供了有限的全面见解.

研究的目的:

进行基于文本挖掘的分析,以阐明miRNAs在糖尿病中的作用.
为了确定潜在的miRNA生物标志物用于糖尿病预测和并发症.

主要方法:

在出版摘要上使用文本挖掘用于主题建模和生物医学术语提取.
应用了四种机器学习算法 (天真贝叶斯,决策树,随机森林,SVM) 来进行糖尿病分类.
评估了构建miRNA-糖尿病网络的特征重要性.

主要成果:

确定了13个与糖尿病研究中miRNAs相关的不同主题,显示了特定主题的模式.
在使用支持矢量机器 (SVM) 的糖尿病预测中取得了超过60%的准确性.
突出了miR-146作为一个关键的生物标志物,针对糖尿病炎症和神经病变的途径.

结论:

文本挖掘方法为miRNA-糖尿病网络提供了可概括的见解.
支持miRNAs的潜力,特别是miR-146,作为糖尿病的可靠生物标志物.

关键词:

糖尿病糖尿病患者糖尿病患者机器学习是机器学习.这里是 miR-146 的位置.这是一个微型RNA.文本采矿文本采矿是什么

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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...