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

Dang My Nhi1, Nguyen Tien Huy2, Kaname Ohyama3,4

  • 1Department of Immunogenetics, Institute of Tropical Medicine (NEKKEN), and Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.

Insights

Early detection of severe dengue with severe plasma leakage (SD-SPL) is crucial. Researchers identified specific plasma proteins, including antithrombin III, that can predict SD-SPL before shock, aiding timely clinical management.

Area of Science:

  • Biochemistry
  • Clinical Diagnostics
  • Dengue Pathogenesis

Background:

  • Severe dengue with severe plasma leakage (SD-SPL) is the most common severe dengue manifestation.
  • Early predictive plasma biomarkers are needed for timely clinical management in primary care settings to prevent mortality.

Purpose of the Study:

  • To identify specific plasma proteins that are differentially expressed in patients with SD-SPL compared to those with dengue with warning signs (DWS).
  • To evaluate the potential of these proteins as early diagnostic markers for SD-SPL.

Main Methods:

  • A hospital-based longitudinal study involving 63 pediatric dengue patients.
  • Isobaric tags for relative and absolute quantification (iTRAQ) technology was used to analyze plasma proteomes from SD-SPL and DWS groups.
  • Validation of identified protein markers was performed.

Main Results:

  • Nineteen plasma proteins showed significant concentration differences between SD-SPL and DWS groups (p<0.05).
  • Five proteins were over-expressed and fourteen were under-expressed in SD-SPL.
  • Angiotensinogen and antithrombin III levels were significantly increased in early-stage SD-SPL plasma; antithrombin III demonstrated predictive accuracy for SD-SPL before shock.

Conclusions:

  • Identified proteins, including antithrombin III, show promise as candidate predictive markers for early diagnosis of SD-SPL.
  • Timely clinical management can be facilitated by these potential biomarkers.
  • Further studies are required to validate these findings in larger cohorts.
Abstract

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