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Investigation of Plasma Biomarkers in HIV-1/HCV Mono- and Coinfected Individuals by Multiplex iTRAQ Quantitative Proteomics
Journal article   Open access

Investigation of Plasma Biomarkers in HIV-1/HCV Mono- and Coinfected Individuals by Multiplex iTRAQ Quantitative Proteomics

Vivekananda Shetty, Pooja Jain, Zacharie Nickens, Gomathinayagam Sinnathamby, Anand Mehta and Ramila Philip
Omics (Larchmont, N.Y.), v 15(10), pp 75-717
01 Oct 2011
PMID: 21978398
url
https://doi.org/10.1089/omi.2011.0004View
Published, Version of Record (VoR) Open

Abstract

Original Articles
The analysis of plasma samples from HIV-1/HCV mono- and coinfected individuals by quantitative proteomics is an efficient strategy to investigate changes in protein abundances and to characterize the proteins that are the effectors of cellular functions involved in viral pathogenesis. In this study, the infected and healthy plasma samples (in triplicate) were treated with ProteoMiner beads to equalize protein concentrations and subjected to 4-plex iTRAQ labeling and liquid chromatography/mass spectrometry (LC-MS/MS) analysis. A total of 70 proteins were identified with high confidence in the triplicate analysis of plasma proteins and 65% of the proteins were found to be common among the three replicates. Apolipoproteins and complement proteins are the two major classes of proteins that exhibited differential regulation. The results of quantitative analysis revealed that APOA2, APOC2, APOE, C3, HRG proteins were upregulated in the plasma of all the three HIV-1 mono-, HCV mono-, and coinfected patient samples compared to healthy control samples. Ingenuity pathway analysis (IPA) of the upregulated proteins revealed that they are implicated in the hepatic lipid metabolism, inflammation, and acute-phase response signaling pathways. Thus, we identified several differentially regulated proteins in HIV-1/HCV mono and coinfected plasma samples that may be potential biomarkers for liver disease.

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Web of Science research areas
Biotechnology & Applied Microbiology
Genetics & Heredity
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