Similarity of immune-associated markers in COVID-19 and Kawasaki disease: analyses from bioinformatics and machine learning

Similarity of immune-associated markers in COVID-19 and Kawasaki disease: analyses from bioinformatics and machine learning

Abstract Background Infection by the SARS-CoV-2 virus can cause coronavirus disease 2019 (COVID-19) and can also exacerbate the symptoms of Kawasaki disease (KD), an acute vasculitis that mostly affects children. This study used bioinformatics and machine learning to examine similarities in the mole...

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Bibliographic Details
Main Authors: Wang Li, Wenjie Zhu, Xiangting Tang, Zhiting Peng, Jiaqi Ye, Shuping Nie
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Pediatrics
Subjects:
COVID-19
Kawasaki disease (KD)
Bioinformatics analysis
Immune cell infiltration
Weighted gene co-expression network analysis (WGCNA)
Online Access:https://doi.org/10.1186/s12887-025-05752-z
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https://doi.org/10.1186/s12887-025-05752-z

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