Molecular characterization of Kawasaki disease subgroups using cell-free RNA profiling

Kawasaki disease is a pediatric vasculitis and the leading cause of acquired heart disease in children. The heterogeneous clinical presentation of Kawasaki disease complicates diagnosis and treatment, highlighting the need for molecular signatures to stratify patients into subgroups to better understand pathogenesis. We performed plasma cell-free RNA sequencing on samples from 98 patients diagnosed with Kawasaki disease, 86 febrile children (62 viral infection, 24 bacterial infection), and 5 healthy children. The Kawasaki disease patients were previously classified into one of four clinical subgroups using 14 clinical variables. Significant differences were observed in cell-free RNA transcript abundance, pathway enrichment scores, and cell type-of-origin fractions, including differences in hepatocyte injury, mitochondrial dysfunction, platelet activation, and developmental markers. This study demonstrates the utility of cell-free RNA to characterize Kawasaki disease subgroups at a molecular level. Cell-free RNA profiles may be used as biomarkers for Kawasaki disease stratification and offer new insight into the pathogenesis of specific KD phenotypes.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-14
DOI
https://doi.org/10.1038/s41598-025-15843-7
Citations
1
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular characterization of Kawasaki disease subgroups using cell-free RNA profiling

Joan Sesing Lenz, Iwijn De Vlaminck, Adriana H. Tremoulet, Conor Loy et al.
1 citations
Scientific Reports
Kawasaki Disease and Coronary Complications
2.01
article

Molecular characterization of Kawasaki disease subgroups using cell-free RNA profiling

Joan Sesing Lenz, Iwijn De Vlaminck, Adriana H. Tremoulet, Conor Loy, Hao Wang, Jane C. Burns, Chisato Shimizu, Jihoon Kim, E. H. Belcher
article en
1 citations

Abstract

Kawasaki disease is a pediatric vasculitis and the leading cause of acquired heart disease in children. The heterogeneous clinical presentation of Kawasaki disease complicates diagnosis and treatment, highlighting the need for molecular signatures to stratify patients into subgroups to better understand pathogenesis. We performed plasma cell-free RNA sequencing on samples from 98 patients diagnosed with Kawasaki disease, 86 febrile children (62 viral infection, 24 bacterial infection), and 5 healthy children. The Kawasaki disease patients were previously classified into one of four clinical subgroups using 14 clinical variables. Significant differences were observed in cell-free RNA transcript abundance, pathway enrichment scores, and cell type-of-origin fractions, including differences in hepatocyte injury, mitochondrial dysfunction, platelet activation, and developmental markers. This study demonstrates the utility of cell-free RNA to characterize Kawasaki disease subgroups at a molecular level. Cell-free RNA profiles may be used as biomarkers for Kawasaki disease stratification and offer new insight into the pathogenesis of specific KD phenotypes.

Scientific ReportsVol. 15(1)
Cornell University (US), UC San Diego Health System (US), Yale University (US), University of California San Diego (US), Rady Children's Hospital-San Diego (US)
Openalex Percentile: Top 13%
Kawasaki Disease and Coronary Complications
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Molecular characterization of Kawasaki disease subgroups using cell-free RNA profiling — Joan Sesing Lenz, Iwijn De Vlaminck, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS