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Clinical Proteomics and Cytokine Profiling for Dengue Fever Disease Severity Biomarkers.
Jadhav, Manali; Nayak, Monalisha; Kumar, Swati; Venkatesh, Apoorva; Patel, Sandip K; Kumar, Vipin; Sharma, Sarthak; Samanta, Biaus; Deb, Satarupa; Karak, Avik; Verma, Sumit; Talukdar, Arunansu; Kochar, Sanjay K; Mansukhani, Preeti; Gandhi, Mayuri; Srivastava, Sanjeeva.
Afiliación
  • Jadhav M; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Nayak M; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Kumar S; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Venkatesh A; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Patel SK; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Kumar V; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Sharma S; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Samanta B; 2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .
  • Deb S; 2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .
  • Karak A; 2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .
  • Verma S; 2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .
  • Talukdar A; 2 Department of Medicine, Medical College Hospital Kolkata , Kolkata, India .
  • Kochar SK; 3 Department of Medicine, Malaria Research Center , S.P. Medical College, Bikaner, India .
  • Mansukhani P; 4 P.D. Hinduja National Hospital & Medical Research Center , Mumbai, India .
  • Gandhi M; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
  • Srivastava S; 1 Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay , Mumbai, India .
OMICS ; 21(11): 665-677, 2017 11.
Article en En | MEDLINE | ID: mdl-29091011
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-1ß 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Biomarcadores / Citocinas / Dengue / Proteómica Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Biomarcadores / Citocinas / Dengue / Proteómica Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article País de afiliación: India