Literature DB >> 29091011

Clinical Proteomics and Cytokine Profiling for Dengue Fever Disease Severity Biomarkers.

Manali Jadhav1, Monalisha Nayak1, Swati Kumar1, Apoorva Venkatesh1, Sandip K Patel1, Vipin Kumar1, Sarthak Sharma1, Biaus Samanta2, Satarupa Deb2, Avik Karak2, Sumit Verma2, Arunansu Talukdar2, Sanjay K Kochar3, Preeti Mansukhani4, Mayuri Gandhi1, Sanjeeva Srivastava1.   

Abstract

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.

Entities:  

Keywords:  biomarkers; dengue fever; global health; precision medicine; quantitative proteomics

Mesh:

Substances:

Year:  2017        PMID: 29091011     DOI: 10.1089/omi.2017.0135

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  5 in total

1.  Clinical Proteomics Profiling for Biomarker Identification Among Patients Suffering With Indian Post Kala Azar Dermal Leishmaniasis.

Authors:  Priyank Jaiswal; Manab Ghosh; Goutam Patra; Bibhuti Saha; Sumi Mukhopadhyay
Journal:  Front Cell Infect Microbiol       Date:  2020-05-27       Impact factor: 5.293

2.  Differential Pattern of Soluble Immune Markers in Asymptomatic Dengue, West Nile and Zika Virus Infections.

Authors:  Rafaelle Fares-Gusmao; Bruno Coelho Rocha; Emilia Sippert; Marion C Lanteri; Germán Áñez; Maria Rios
Journal:  Sci Rep       Date:  2019-11-20       Impact factor: 4.379

3.  Disturbed lipid and amino acid metabolisms in COVID-19 patients.

Authors:  Jerzy-Roch Nofer; Thomas Renné; Mojgan Masoodi; Manuela Peschka; Stefan Schmiedel; Munif Haddad; Maike Frye; Coen Maas; Ansgar Lohse; Samuel Huber; Paulus Kirchhof
Journal:  J Mol Med (Berl)       Date:  2022-01-22       Impact factor: 4.599

Review 4.  Production, Transmission, Pathogenesis, and Control of Dengue Virus: A Literature-Based Undivided Perspective.

Authors:  Muhammad Torequl Islam; Cristina Quispe; Jesús Herrera-Bravo; Chandan Sarkar; Rohit Sharma; Neha Garg; Larry Ibarra Fredes; Miquel Martorell; Mohammed M Alshehri; Javad Sharifi-Rad; Sevgi Durna Daştan; Daniela Calina; Radi Alsafi; Saad Alghamdi; Gaber El-Saber Batiha; Natália Cruz-Martins
Journal:  Biomed Res Int       Date:  2021-12-15       Impact factor: 3.411

Review 5.  Pathogenesis and virulence of flavivirus infections.

Authors:  Sophie Wilhelmina van Leur; Tiaan Heunis; Deeksha Munnur; Sumana Sanyal
Journal:  Virulence       Date:  2021-12       Impact factor: 5.882

  5 in total

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