The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
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DOI：
10.1155/2020/6062436
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发表时间：
2020-06-29
影响因子：
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通讯作者：
Zhang, Yanqing
中科院分区：
文献类型：
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作者：
Hu, Bing;Li, Yun;Zhang, Yanqing
川崎（KD）是一种急性血管炎，伴有冠状动脉瘤、冠状动脉扩张、心律失常等严重心血管疾病。目前KD的病因尚不清楚，有必要对KD的分子机制及相关因素进行深入研究。在这项研究中，我们分析了75个DB（鉴定细菌），122个DV（鉴定病毒），71个HC（健康对照）和311个KD（川崎）样本的表达谱。使用高级特征选择方法的组合鉴定了332个与KD和病原体感染相关的关键基因：（1）Boruta，（2）蒙特-卡罗特征选择（MCFS），和（3）增量特征选择（IFS）。标签基因的数量逐步缩小。随后，通过KEGG和GO富集分析揭示了它们的功能。本研究结果为KD的分子机制提供了线索，对KD的诊断和治疗具有一定的指导意义。
Kawasaki disease (KD) is an acute vasculitis, accompanied by coronary artery aneurysm, coronary artery dilatation, arrhythmia, and other serious cardiovascular diseases. So far, the etiology of KD is unclear; it is necessary to study the molecular mechanism and related factors of KD. In this study, we analyzed the expression profiles of 75 DB (identifying bacteria), 122 DV (identifying virus), 71 HC (healthy control), and 311 KD (Kawasaki disease) samples. 332 key genes related to KD and pathogen infections were identified using a combination of advanced feature selection methods: (1) Boruta, (2) Monte-Carlo Feature Selection (MCFS), and (3) Incremental Feature Selection (IFS). The number of signature genes was narrowed down step by step. Subsequently, their functions were revealed by KEGG and GO enrichment analyses. Our results provided clues of potential molecular mechanisms of KD and were helpful for KD detection and treatment.