Antibody Profiling of Kawasaki Disease Using Escherichia coli Proteome Microarrays

Kuo, Ho-Chang; Huang, Ying; Chung, Feng Hsiang; Chen, Po Chung; Sung, Tzu Cheng; Chen, Yi Wen; Hsieh, Kai‐Sheng; Chen, Chien Sheng; Syu, Guan Da

doi:10.1074/mcp.ra117.000198

Cited by 17 publications

(19 citation statements)

References 25 publications

(18 reference statements)

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“…Different studies have been conducted in the search for a biomarker, but have failed to find a single and reliable biomarker. This includes studies on a broad panel of routinely used parameters ( 23 ), antibody profiling using of Escherichia coli proteome microarrays, ( 24 ), or the identification of candidate biomarkers using multiplex cytokine and protein arrays ( 25 ). In this study, we have investigated inflammation-related plasma-derived biomarkers to identify pediatric patients with acute KD among their febrile peers with a proven or suspected infection.…”

Section: Discussionmentioning

confidence: 99%

Biomarkers for the Discrimination of Acute Kawasaki Disease From Infections in Childhood

et al. 2020

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Background: Kawasaki disease (KD) is a vasculitis of early childhood mimicking several infectious diseases. Differentiation between KD and infectious diseases is essential as KD's most important complication-the development of coronary artery aneurysms (CAA)-can be largely avoided by timely treatment with intravenous immunoglobulins (IVIG). Currently, KD diagnosis is only based on clinical criteria. The aim of this study was to evaluate whether routine C-reactive protein (CRP) and additional inflammatory parameters myeloid-related protein 8/14 (MRP8/14 or S100A8/9) and human neutrophil-derived elastase (HNE) could distinguish KD from infectious diseases. Methods and Results: The cross-sectional study included KD patients and children with proven infections as well as febrile controls. Patients were recruited between July 2006 and December 2018 in Europe and USA. MRP8/14, CRP, and HNE were assessed for their discriminatory ability by multiple logistic regression analysis with backward selection and receiver operator characteristic (ROC) curves. In the discovery cohort, the Zandstra et al. Discrimination Acute KD From Infections combination of MRP8/14+CRP discriminated KD patients (n = 48) from patients with infection (n = 105), with area under the ROC curve (AUC) of 0.88. The HNE values did not improve discrimination. The first validation cohort confirmed the predictive value of MRP8/14+CRP to discriminate acute KD patients (n = 26) from those with infections (n = 150), with an AUC of 0.78. The second validation cohort of acute KD patients (n = 25) and febrile controls (n = 50) showed an AUC of 0.72, which improved to 0.84 when HNE was included. Conclusion: When used in combination, the plasma markers MRP8/14, CRP, and HNE may assist in the discrimination of KD from both proven and suspected infection.

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Section: Discussionmentioning

confidence: 99%

Biomarkers for the Discrimination of Acute Kawasaki Disease From Infections in Childhood

et al. 2020

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“…Although no single laboratory examination can serve as a golden standard diagnostic tool for KD, we have endeavored to develop many quick methods for the early identification of KD [ 12 – 14 ]. However, such methods are still far from being applied in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

A novel score system of blood tests for differentiating Kawasaki disease from febrile children

et al. 2021

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Background Kawasaki disease is the most common cause of acquired heart disease among febrile children under the age of 5 years old. It is also a clinically diagnosed disease. In this study, we developed and assessed a novel score system using objective parameters to differentiate Kawasaki disease from febrile children. Methods We analyzed 6,310 febrile children and 485 Kawasaki disease subjects in this study. We collected biological parameters of a routine blood test, including complete blood count with differential, C-reactive protein, aspartate aminotransferase, and alanine aminotransferase. Receiver operating characteristic curve, logistic regression, and Youden’s index were all used to develop the prediction model. Two other independent cohorts from different hospitals were used for verification. Results We obtained eight independent predictors (platelets, eosinophil, alanine aminotransferase, C-reactive protein, hemoglobin, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and monocyte) and found the top three scores to be eosinophil >1.5% (score: 7), alanine aminotransferase >30 U/L (score: 6), and C-reactive protein>25 mg/L (score: 6). A score of 14 represents the best sensitivity value plus specificity prediction rate for Kawasaki disease. The sensitivity, specificity, and accuracy for our cohort were 0.824, 0.839, and 0.838, respectively. The verification test of two independent cohorts of Kawasaki disease patients (N = 103 and 170) from two different institutes had a sensitivity of 0.780 (213/273). Conclusion Our findings demonstrate a novel score system with good discriminatory ability for differentiating between children with Kawasaki disease and other febrile children, as well as highlight the importance of eosinophil in Kawasaki disease. Using this novel score system can help first-line physicians diagnose and then treat Kawasaki disease early.

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“…Meanwhile, Kuo et al. created an E. coli proteome microarray with around 4,200 proteins and analyzed the antibody spectrum in pre-eclamptic women ( 90 ) and patients with Kawasaki disease ( 68 ). Loebel et al.…”

Section: Pathogenic Proteome Arraysmentioning

confidence: 99%

“…For instance, Chen et al constructed a bacterial proteome microarray composed of 4,256 proteins encoded by the E. coli K12 strain and subjected it to the investigation of biomarkers for inflammatory bowel disease(53). Meanwhile, Kuo et al created an E. coli proteome microarray with around 4,200 proteins and analyzed the antibody spectrum in pre-eclamptic women(90) and patients with Kawasaki disease(68). Loebel et al also employed an EBV-derived peptide microarray to profile the serological response in chronic fatigue syndrome…”

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confidence: 99%

Applications of Protein Microarrays in Biomarker Discovery for Autoimmune Diseases

Song

Bai

et al. 2021

Front. Immunol.

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Dysregulated autoantibodies and cytokines were deemed to provide important cues for potential illnesses, such as various carcinomas and autoimmune diseases. Increasing biotechnological approaches have been applied to screen and identify the specific alterations of these biomolecules as distinctive biomarkers in diseases, especially autoimmune diseases. As a versatile and robust platform, protein microarray technology allows researchers to easily profile dysregulated autoantibodies and cytokines associated with autoimmune diseases using various biological specimens, mainly serum samples. Here, we summarize the applications of protein microarrays in biomarker discovery for autoimmune diseases. In addition, the key issues in the process of using this approach are presented for improving future studies.

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Antibody Profiling of Kawasaki Disease Using Escherichia coli Proteome Microarrays

Cited by 17 publications

References 25 publications

Biomarkers for the Discrimination of Acute Kawasaki Disease From Infections in Childhood

Biomarkers for the Discrimination of Acute Kawasaki Disease From Infections in Childhood

A novel score system of blood tests for differentiating Kawasaki disease from febrile children

Applications of Protein Microarrays in Biomarker Discovery for Autoimmune Diseases

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