A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children
Author(s) -
Dang My Nhi,
Nguyen Tien Huy,
Kaname Ohyama,
Daisuke Kimura,
Nguyễn Thị Phương Lan,
Leo Uchida,
Nguyễn Văn Thường,
Cao Thi My Nhon,
Le Hong Phuc,
Nguyen Thi,
Shusaku Mizukami,
Bao Lam,
Nguyen Ngoc Doan,
Nguyen Van Thanh Binh,
Luong Chan Quang,
Juntra Karbwang,
Katsuyuki Yui,
Kouichi Morita,
Vu Thi Que Huong,
Kenji Hirayama
Publication year - 2016
Publication title -
plos neglected tropical diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.99
H-Index - 135
eISSN - 1935-2735
pISSN - 1935-2727
DOI - 10.1371/journal.pntd.0004435
Subject(s) - dengue fever , neglected tropical diseases , dengue virus , medicine , computational biology , immunology , virology , biology , pathology , disease
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.
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