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Characterisation of whole-blood extrachromosomal circular DNAs in Kawasaki disease complicated by coronary artery aneurysm

Published online by Cambridge University Press:  17 September 2026

Yan lin Wu
Affiliation:
Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
Yusheng Pang*
Affiliation:
Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
Danyan Su*
Affiliation:
Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
*
Corresponding authors: Yusheng Pang; Email: pangyush@163.com; Danyan Su; Email: sudanyeal@163.com
Corresponding authors: Yusheng Pang; Email: pangyush@163.com; Danyan Su; Email: sudanyeal@163.com
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Abstract

Background:

Extrachromosomal circular DNAs are critical regulators of stress responses, immunity, and inflammation pathways. However, their role and underlying mechanisms in Kawasaki disease complicated by coronary artery aneurysm remain poorly understood.

Methods:

Whole blood samples from six children with Kawasaki disease, including three with coronary artery aneurysm group and three without coronary artery aneurysm (control group), were subjected to extrachromosomal circular DNA sequencing. Putative extrachromosomal circular DNAs were identified using Circle-Map. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on genes associated with upregulated extrachromosomal circular DNAs, and an exploratory immune-signature profiling was performed using the single-sample gene set enrichment analysis algorithm.

Results:

We identified 4,790 differential extrachromosomal circular DNAs between the coronary artery aneurysm and control groups, of which 4,789 were upregulated in the CAA group. The extrachromosomal circular DNAs in the coronary artery aneurysm group were more concentrated and shorter in length than those in the control group. Upregulated extrachromosomal circular DNAs were mainly derived from autosomes, particularly chromosomes 3, 4, and 7. Functional enrichment analysis indicated that genes associated with upregulated extrachromosomal circular DNAs were mainly involved in response to stimulus-related terms and pathways, including chemokine signalling, cGMP-PKG signalling, and calcium signalling. Immune-signature analysis suggested that the coronary artery aneurysm group exhibited more specific immune responses, whereas the control group tended towards broader immune regulatory processes.

Conclusions:

Coronary artery aneurysm and control groups exhibited distinct extrachromosomal circular DNA profiles. These findings suggest that extrachromosomal circular DNA alterations are associated with coronary artery aneurysm in Kawasaki disease and may provide new insights into the molecular features underlying this condition.

Information

Type
Original Article
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Baseline characteristics of 6 patients who provided samples for analysisTable 1 long description.

Figure 1

Figure 1. Figure 1 long description.Length distribution of eccDNAs in CAA and control groups. (a) Volcano plot illustrating differentially expressed eccDNAs between CAA and control groups (fold change ≥2 and P <0.05). (b–c) Line charts depicting the percentage length distribution of eccDNAs in the CAA group (B) and control group (C). (d–e) Violin plots comparing eccDNA length distribution across individual samples (D) and between the combined CAA and control groups (E).

Figure 2

Figure 2. Figure 2 long description.Landscape of eccDNA distribution, expression, functional enrichment, and immune signatures in CAA and control groups. (a) The frequency of eccDNAs per 10 Mb across each chromosome. (b) Pie chart representing the proportion of genes (n = 44,854) generating varying numbers of eccDNAs. (c) Circos plot displaying chromosomal distribution and expression levels of the upregulated eccDNAs in the CAA group. From outer to inner rings: chromosome ideograms (chr1–Y); eccDNAs genomic positions; basemean expression levels of corresponding genes; rainfall plot indicating eccDNAs clustering density (y-axis: minimum inter-region distance); fold change of genes; and associated P-values. (d) KEGG pathway enrichment and GO functional analysis of genes associated with CAA-related upregulated eccDNAs. (e) Heatmap of immune infiltration GSVA scores comparing CAA and control groups.