Evidence map›Paper›PMID 40813796›Full record

ArticleScientific reports2025

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

Conor J Loy, Hao Wang, Jihoon Kim, Chisato Shimizu, Joan Lenz, Emma Belcher, Adriana H Tremoulet, Jane C Burns, Iwijn De Vlaminck

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Conor J LoyMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA.
Hao WangDepartment of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, San Diego, CA, 92093, USA.
Jihoon KimDepartment of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, 06510, USA.
Chisato ShimizuDepartment of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, San Diego, CA, 92093, USA.
Joan LenzMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA.
Emma BelcherMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA.
Adriana H TremouletDepartment of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, San Diego, CA, 92093, USA.
Jane C BurnsDepartment of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, San Diego, CA, 92093, USA. jcburns@health.ucsd.edu.
Iwijn De VlaminckMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA. vlaminck@cornell.edu.

Funding

Discovery and clinical validation of host biomarkers of disease severity and multi-system inflammatory syndrome in children (MIS-C) with Covid-19R33HD105618 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHIU, CHARLES YEN, DE VLAMINCK, IWIJN · 2023 to 2023
$3.2M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R33HD105590-03S2Eunice Kennedy Shriver National Institute of Child Health and Human Development,United States R33HD105593NICHD NIH HHS R33 HD105618
6 · The paper itself

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.

Indexed as

Cell-Free Nucleic AcidsMucocutaneous Lymph Node SyndromeBiomarkersChildChild, PreschoolFemaleGene Expression ProfilingHumansInfantMaleBiomarkersCell-Free Nucleic AcidsCell-free RNAKawasaki diseaseLiquid biopsyPediatric

Identifiers

PMID40813796
PMCPMC12354920

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.