Imperial College London
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ProfessorMichaelLevin

Faculty of Medicine, Department of Infectious Disease

Chair in Paediatrics & International Child Health
 
 
 
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Contact

 

+44 (0)20 7594 3760m.levin Website

 
 
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Location

 

233Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kuiper:2023:10.1038/s41390-022-02148-y,
author = {Kuiper, R and Wright, VJ and Habgood-Coote, D and Shimizu, C and Huigh, D and Tremoulet, AH and van, Keulen D and Hoggart, CJ and Rodriguez-Manzano, J and Herberg, JA and Kaforou, M and Tempel, D and Burns, JC and Levin, M},
doi = {10.1038/s41390-022-02148-y},
journal = {Pediatric Research},
pages = {559--569},
title = {Bridging a diagnostic Kawasaki disease classifier from a microarray platform to a qRT-PCR assay},
url = {http://dx.doi.org/10.1038/s41390-022-02148-y},
volume = {93},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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 to reweight the original classifier. RESULTS: The performance of the KiDs-GEP classifier was comparable to the original classifier with a cross-validated area under the ROC curve of 0.964 [95% CI: 0.924-1.00] vs 0.992 [95% CI: 0.978-1.00], respectively. Both classifiers demonstrated similar trends over various disease conditions, with the clearest distinction between individuals diagnosed with KD vs viral infections. CONCLUSION: We successfully bridged the microarray-based classifier into the KiDs-GEP classifier, a more rapid and more cost-efficient qRT-PCR assay, bringing a diagnostic test for KD closer to the hospital clinical laboratory. IMPACT: A diagnostic test is needed for Kawasaki disease and is currently not available. We describe the development of a One-Step multiplex qRT-PCR assay and the subsequent modification (i.e., bridging) of the microarray-based host response classifier previously described by Wright et al. The bridged KiDs-GEP classifier performs well in discriminating Kawasaki disease patients from febrile controls. This host response clinical test for Kawasaki disease can be adapted to the hospital clinical laboratory.
AU  - Kuiper,R
AU  - Wright,VJ
AU  - Habgood-Coote,D
AU  - Shimizu,C
AU  - Huigh,D
AU  - Tremoulet,AH
AU  - van,Keulen D
AU  - Hoggart,CJ
AU  - Rodriguez-Manzano,J
AU  - Herberg,JA
AU  - Kaforou,M
AU  - Tempel,D
AU  - Burns,JC
AU  - Levin,M
DO  - 10.1038/s41390-022-02148-y
EP  - 569
PY  - 2023///
SN  - 0031-3998
SP  - 559
TI  - Bridging a diagnostic Kawasaki disease classifier from a microarray platform to a qRT-PCR assay
T2  - Pediatric Research
UR  - http://dx.doi.org/10.1038/s41390-022-02148-y
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35732822
UR  - http://hdl.handle.net/10044/1/98037
VL  - 93
ER  -
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