ArticleOmics : a journal of integrative biology2012
Serum proteome changes in dengue virus-infected patients from a dengue-endemic area of India: towards new molecular targets?
Article in Omics : a journal of integrative biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
- Plasma proteomics identifies early markers of endothelial and inflammatory activation associated with dengue disease severity in children.medRxiv : the preprint server for health sciences · 2026Article
- Re-mining serum proteomics data reveals extensive post-translational modifications upon Zika and dengue infection.Molecular omics · 2023Article
- Exploring Key Genes and Mechanisms in Respiratory Syncytial Virus-Infected BALB/c MiceFrontiers in cellular and infection microbiology · 2022Article
- Pathogenesis and virulence of flavivirus infections.Virulence · 2021Review
- Exploration of Serum Marker Proteins in Mice Induced by Babesia microti Infection Using a Quantitative Proteomic Approach.The protein journal · 2021Article
- Increased levels of pentraxins protein and cytokines bear good association in patients with severe dengue infection.Scientific reports · 2021Article
- Understanding the Pathophysiology of COVID-19: Could the Contact System Be the Key?Frontiers in immunology · 2020Article
- Drug repositioning for dengue haemorrhagic fever by integrating multiple omics analyses.Scientific reports · 2019Article
- Interaction of the Human Contact System with Pathogens-An Update.Frontiers in immunology · 2018Review
- Differential proteomic analysis of virus-enriched fractions obtained from plasma pools of patients with dengue fever or severe dengue.BMC infectious diseases · 2015Article
- Discovery and characterization of potential prognostic biomarkers for dengue hemorrhagic fever.The American journal of tropical medicine and hygiene · 2014Article
- Differential expression of serum/plasma proteins in various infectious diseases: specific or nonspecific signatures.Proteomics. Clinical applications · 2014Review
- Proteomic profiling of serum samples from chikungunya-infected patients provides insights into host response.Clinical proteomics · 2013Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global burden of dengue continues to worsen, specifically in tropical and subtropical countries, and has evolved as a major public health problem. We investigated the changes in serum proteome in dengue fever (DF) patients from a dengue-endemic area of India to obtain mechanistic insights about the disease pathogenesis, the host immune response, and identification of potential serum protein biomarkers of this infectious disease. In this study, serum samples from DF patients, healthy subjects, and patients with falciparum malaria (an infectious disease control) were investigated by 2D-DIGE in combination with MALDI-TOF/TOF MS. The findings were validated with Western blotting. Functional clustering of the identified proteins was performed using PANTHER and DAVID tools. Compared to the healthy controls, we found significant changes in the expression levels of 48 protein spots corresponding to 18 unique proteins (7 downregulated and 11 upregulated) in DF patients (p<0.05). Among these differentially-expressed proteins, 11 candidates exhibited different trends in dengue fever compared to falciparum malaria. Importantly, our results suggest that dengue virus infection leads to alterations in expression levels of multiple serum proteins involved in diverse and vital physiological pathways, including acute phase response signaling, complement cascades, hemostasis, and blood coagulation. For the first time we report here that the serum levels of hemopexin, haptoglobin, serum amyloid P, and kininogen precursor, are altered in DF. This study informs the pathogenesis and host immune response to dengue virus infection, as well as the current search for new diagnostic and molecular drug targets.
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