Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles
Publication year
2021Source
International Journal of Molecular Sciences, 22, 11, (2021), article 5655ISSN
Publication type
Article / Letter to editor
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Organization
Paediatrics
Laboratory Medicine
Journal title
International Journal of Molecular Sciences
Volume
vol. 22
Issue
iss. 11
Subject
Radboudumc 4: lnfectious Diseases and Global Health RIMLS: Radboud Institute for Molecular Life SciencesAbstract
The aetiology of Kawasaki disease (KD), an acute inflammatory disorder of childhood, remains unknown despite various triggers of KD having been proposed. Host 'omic profiles offer insights into the host response to infection and inflammation, with the interrogation of multiple 'omic levels in parallel providing a more comprehensive picture. We used differential abundance analysis, pathway analysis, clustering, and classification techniques to explore whether the host response in KD is more similar to the response to bacterial or viral infections at the transcriptomic and proteomic levels through comparison of 'omic profiles from children with KD to those with bacterial and viral infections. Pathways activated in patients with KD included those involved in anti-viral and anti-bacterial responses. Unsupervised clustering showed that the majority of KD patients clustered with bacterial patients on both 'omic levels, whilst application of diagnostic signatures specific for bacterial and viral infections revealed that many transcriptomic KD samples had low probabilities of having bacterial or viral infections, suggesting that KD may be triggered by a different process not typical of either common bacterial or viral infections. Clustering based on the transcriptomic and proteomic responses during KD revealed three clusters of KD patients on both 'omic levels, suggesting heterogeneity within the inflammatory response during KD. The observed heterogeneity may reflect differences in the host response to a common trigger, or variation dependent on different triggers of the condition.
This item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122508]
- Faculty of Medical Sciences [90373]
- Open Access publications [97504]
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