Unknown

Dataset Information

0

A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children.


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.

SUBMITTER: Nhi DM 

PROVIDER: S-EPMC4764501 | BioStudies | 2016-01-01

REPOSITORIES: biostudies

Similar Datasets

1000-01-01 | S-EPMC5452397 | BioStudies
1000-01-01 | S-EPMC5805423 | BioStudies
2019-01-01 | S-EPMC6419393 | BioStudies
2014-01-01 | S-EPMC4274692 | BioStudies
2020-01-01 | S-EPMC7515206 | BioStudies
2011-01-01 | S-EPMC3210746 | BioStudies
2016-01-01 | S-EPMC4854400 | BioStudies
2020-01-01 | S-EPMC7484760 | BioStudies
2014-01-01 | S-EPMC4091876 | BioStudies
2013-01-01 | S-EPMC3547865 | BioStudies