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

The potential immune-associated biomarkers (PGLYRP1, DEFA4, RETN) along with their shared pathways, hold promise for advancing investigations into the underlying pathogenesis of KD and COVID-19.

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Publication Details

Journal
BMC Pediatrics
Published
2025-05-19
DOI
https://doi.org/10.1186/s12887-025-05752-z
Citations
1
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
2.01

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article

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

Wenjie Zhu, Zhiyong Peng, Jiaqi Ye, Xiao‐Qing Tang et al.
1 citations
BMC Pediatrics
Kawasaki Disease and Coronary Complications
2.01
article

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

Wenjie Zhu, Zhiyong Peng, Jiaqi Ye, Xiao‐Qing Tang, Xiaotian Li, Shuping Nie
article en
1 citations

Abstract

The potential immune-associated biomarkers (PGLYRP1, DEFA4, RETN) along with their shared pathways, hold promise for advancing investigations into the underlying pathogenesis of KD and COVID-19.

BMC PediatricsVol. 25(1)
Sun Yat-sen University (CN), Eighth Affiliated Hospital of Sun Yat-sen University
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 16%
Kawasaki Disease and Coronary Complications
2.01
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