@article{oai:rakuno.repo.nii.ac.jp:00005209,
 author = {Nhi, Dang My and Huy, Nguyen Tien and Ohyama, Kaname and Kimura, Daisuke and Lan, Nguyen Thi Phuong and 内田, 玲麻 and Thuong, Nguyen Van and Nhon, Cao Thi My and Phuc, Le Hong and Mai, Nguyen Thi and Mizukami, Shusaku and Bao, Lam Quoc and Doan, Nguyen Ngoc and Binh, Nguyen Van Thanh and Quang, Luong Chan and Karbwang, Juntra and Yui, Katsuyuki and Morita, Kouichi and Huong, Vu Thi Que and Hirayama, Kenji},
 issue = {2},
 journal = {PLoS neglected tropical diseases},
 month = {Feb},
 note = {Article, [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.},
 pages = {e0004435-1--e0004435-15},
 title = {A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children},
 volume = {10},
 year = {2016}
}