Identification of programmed cell death and mitochondria correlated biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms with RT-qPCR verification

This study defines a novel five-biomarker panel that functionally links mitochondrial dysfunction, dysregulated programmed cell death, and immune activation in Kawasaki disease, providing an integrated, mechanism-based framework for improving diagnosis and guiding future targeted therapies.

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Publication Details

Journal
Frontiers in Genetics
Published
2026-02-10
DOI
https://doi.org/10.3389/fgene.2026.1677146
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of programmed cell death and mitochondria correlated biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms with RT-qPCR verification

Tengyang Wang, Chengyi Wang, Yuehua Chen
Frontiers in Genetics
Kawasaki Disease and Coronary Complications
article

Identification of programmed cell death and mitochondria correlated biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms with RT-qPCR verification

Tengyang Wang, Chengyi Wang, Yuehua Chen
article en

Abstract

This study defines a novel five-biomarker panel that functionally links mitochondrial dysfunction, dysregulated programmed cell death, and immune activation in Kawasaki disease, providing an integrated, mechanism-based framework for improving diagnosis and guiding future targeted therapies.

Frontiers in GeneticsVol. 17
Fujian Medical University (CN), Fujian Women and Children Hospital (CN)
Good health and well-being
Openalex Percentile: Top 61%
Kawasaki Disease and Coronary Complications
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