Clinical Proteomics and Cytokine Profiling for Dengue Fever Disease Severity Biomarkers

Manali Jadhav, Monalisha Nayak, Swati Kumar, Apoorva Venkatesh, Sandip K Patel, Vipin Kumar, Sarthak Sharma, Biaus Samanta, Satarupa Deb, Avik Karak, Sumit Verma, Arunansu Talukdar, Sanjay K Kochar, Preeti Mansukhani, Mayuri Gandhi, Sanjeeva Srivastava

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Dengue fever (DF) is a major global health burden with a pathophysiology that is still incompletely understood. Biomarkers that predict and explain susceptibility to DF and its progression to its more severe hemorrhagic form are much needed. DF is endemic in tropical and subtropical regions of the world, with a rapidly increasing incidence of disease severity. We conducted a clinical biomarker discovery study using both a case-control and longitudinal study design. Plasma proteome alterations in patients with DF (n = 12) and dengue hemorrhagic fever (DHF, n = 24) were analyzed in comparison to healthy controls (HCs, n = 16), using the isobaric tags for relative and absolute quantification (iTRAQ)-based quantitative proteomics methodology (false discovery rate of 1%, ≥2 peptides). Several proteins such as the alpha-2 macroglobulin, angiotensinogen, apolipoprotein B-100, serotransferrin, and ceruloplasmin were upregulated (fold change >1.2) in all DHF cases, and downregulated in DF (fold change <0.83), compared with HCs. Plasma cytokine profiling (8 DF, 8 DHF, and 8 HC) on two consecutive time points, at day 0 (day of admission) and days 5-7, found significant elevation in IL-1RA, IL-7, TNF-α, MCP1-MCAF, and MIP-1β levels, but only in the DHF cases, which is the severe disease, and not in DF, compared with HCs (p < 0.05). These new observations on changes in the plasma proteome and cytokine profiles in patients with dengue infection identify several putative molecular leads for future biomarker development and precision medicine in relation to forecasting DF disease severity.

Original languageEnglish
Pages (from-to)665-677
Number of pages13
JournalOMICS A Journal of Integrative Biology
Issue number11
Early online date01 Nov 2017
Publication statusEarly online date - 01 Nov 2017
Externally publishedYes


  • Adolescent
  • Adult
  • Biomarkers/blood
  • Case-Control Studies
  • Cytokines/blood
  • Dengue/blood
  • Endemic Diseases
  • Female
  • Humans
  • Incidence
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Precision Medicine
  • Proteomics/methods
  • Severity of Illness Index
  • Time Factors


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