Why the study?
The etiology of Kawasaki disease is unclear, making it necessary to study its molecular mechanism and related factors.
Advanced feature selection methods identified 332 key genes associated with Kawasaki disease, providing potential clues for its molecular mechanisms and detection.
May inform Kawasaki disease biomarker research; leaves open clinical utility pending prospective validation.
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.
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Hu et al. (2020) studied this question.
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