Cargando…
Prediction Model for Diagnosis of Kawasaki Disease Using iTRAQ-Based Analysis
A quick prediction method may help confirm the diagnosis of Kawasaki disease (KD), and reduce the risk of coronary artery lesions. The purpose of this study was to evaluate potential candidate diagnostic serum proteins in KD using isobaric tagging for relative and absolute quantification (iTRAQ) gel...
Autores principales: | Weng, Ken-Pen, Li, Sung-Chou, Chien, Kuang-Jen, Tsai, Kuo-Wang, Kuo, Ho-Chang, Hsieh, Kai-Sheng, Huang, Shih-Hui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304649/ https://www.ncbi.nlm.nih.gov/pubmed/34356555 http://dx.doi.org/10.3390/children8070576 |
Ejemplares similares
-
iTRAQ Proteomics Identified the Potential Biomarkers of Coronary Artery Lesion in Kawasaki Disease and In Vitro Studies Demonstrated That S100A4 Treatment Made HCAECs More Susceptible to Neutrophil Infiltration
por: Weng, Ken-Pen, et al.
Publicado: (2022) -
Reappraisal of VEGF in the Pathogenesis of Kawasaki Disease
por: Chen, Chun-Yu, et al.
Publicado: (2022) -
Arterial stiffness late after Kawasaki disease in children: Assessment by performing brachial–ankle pulse wave velocity
por: Chien, Kuang-Jen, et al.
Publicado: (2020) -
Identifying Circulating MicroRNA in Kawasaki Disease by Next-Generation Sequencing Approach
por: Weng, Ken-Pen, et al.
Publicado: (2021) -
Serum proteins may facilitate the identification of Kawasaki disease and promote in vitro neutrophil infiltration
por: Li, Sung-Chou, et al.
Publicado: (2020)