1. A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children.
- Author
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Nhi DM, Huy NT, Ohyama K, Kimura D, Lan NT, Uchida L, Thuong NV, Nhon CT, Phuc le H, Mai NT, Mizukami S, Bao LQ, Doan NN, Binh NV, Quang LC, Karbwang J, Yui K, Morita K, Huong VT, and Hirayama K
- Subjects
- Adolescent, Child, Child, Preschool, Female, Humans, Longitudinal Studies, Male, Severe Dengue blood, Biomarkers blood, Proteomics methods, Severe Dengue diagnosis
- Abstract
Background: Severe dengue with severe plasma leakage (SD-SPL) is the most frequent of dengue severe form. Plasma biomarkers for early predictive diagnosis of SD-SPL are required in the primary clinics for the prevention of dengue death., Methodology: Among 63 confirmed dengue pediatric patients recruited, hospital based longitudinal study detected six SD-SPL and ten dengue with warning sign (DWS). To identify the specific proteins increased or decreased in the SD-SPL plasma obtained 6-48 hours before the shock compared with the DWS, the isobaric tags for relative and absolute quantification (iTRAQ) technology was performed using four patients each group. Validation was undertaken in 6 SD-SPL and 10 DWS patients., Principal Findings: Nineteen plasma proteins exhibited significantly different relative concentrations (p<0.05), with five over-expressed and fourteen under-expressed in SD-SPL compared with DWS. The individual protein was classified to either blood coagulation, vascular regulation, cellular transport-related processes or immune response. The immunoblot quantification showed angiotensinogen and antithrombin III significantly increased in SD-SPL whole plasma of early stage compared with DWS subjects. Even using this small number of samples, antithrombin III predicted SD-SPL before shock occurrence with accuracy., Conclusion: Proteins identified here may serve as candidate predictive markers to diagnose SD-SPL for timely clinical management. Since the number of subjects are small, so further studies are needed to confirm all these biomarkers.
- Published
- 2016
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