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

Journal: BMC pediatrics
PMID: 40383755

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 molecular pathogenesis of COVID-19 and KD.

Authors

  • Wang Li
    School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
  • Wenjie Zhu
    Department of Pathology, Maternal and Child Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Xiangting Tang
    Department of Clinical laboratory, The Eighth Affiliated Hospital, Sun Yat-sen University, 3025 Shennan Middle Road, Shenzhen, Guangdong, 518000, China.
  • Zhiting Peng
    Department of Clinical laboratory, The Eighth Affiliated Hospital, Sun Yat-sen University, 3025 Shennan Middle Road, Shenzhen, Guangdong, 518000, China.
  • Jiaqi Ye
    Department of Clinical laboratory, The Eighth Affiliated Hospital, Sun Yat-sen University, 3025 Shennan Middle Road, Shenzhen, Guangdong, 518000, China.
  • Shuping Nie
    Department of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518003, PR China.

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