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Dataset Information

Bridging a diagnostic Kawasaki disease classifier from a microarray platform to a qRT-PCR assay.


ABSTRACT:

Background

Kawasaki disease (KD) is a systemic vasculitis that mainly affects children under 5 years of age. Up to 30% of patients develop coronary artery abnormalities, which are reduced with early treatment. Timely diagnosis of KD is challenging but may become more straightforward with the recent discovery of a whole-blood host response classifier that discriminates KD patients from patients with other febrile conditions. Here, we bridged this microarray-based classifier to a clinically applicable quantitative reverse transcription-polymerase chain reaction (qRT-PCR) assay: the Kawasaki Disease Gene Expression Profiling (KiDs-GEP) classifier.

Methods

We designed and optimized a qRT-PCR assay and applied it to a subset of samples previously used for the classifier discovery

SUBMITTER: Kuiper R 

PROVIDER: S-EPMC9988687 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature