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Journal of Biomedicine and Biotechnology
Volume 2010, Article ID 956823, 9 pages
http://dx.doi.org/10.1155/2010/956823
Research Article

Proteomic Analysis of Pichindé virus Infection Identifies Differential Expression of Prothymosin-

1Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555-0609, USA
2Department of Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX 77555-0609, USA
3Center for Biodefense and Emerging Infectious Diseases, University of Texas Medical Branch, Galveston, TX 77555-0609, USA
4Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555-0609, USA
5Bio-Rad Laboratories, 6000 James Watson Drive, Hercules, CA 94547, USA
6Bioinformatics Program, University of Texas Medical Branch, Galveston, TX 77555-0609, USA
7Centers for Proteomics and Systems Biology, Brown Institute for Molecular Medicine, University of Texas Health Science Center, Houston, TX 77030, USA

Received 25 September 2009; Accepted 4 March 2010

Academic Editor: Shahid Jameel

Copyright © 2010 Gavin C. Bowick et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The arenaviruses include a number of important pathogens including Lassa virus and Junin virus. Presently, the only treatment is supportive care and the antiviral Ribavirin. In the event of an epidemic, patient triage may be required to more effectively manage resources; the development of prognostic biomarker signatures, correlating with disease severity, would allow rational triage. Using a pair of arenaviruses, which cause mild or severe disease, we analyzed extracts from infected cells using SELDI mass spectrometry to characterize potential biomarker profiles. EDGE analysis was used to analyze longitudinal expression differences. Extracts from infected guinea pigs revealed protein peaks which could discriminate between mild or severe infection and between times post-infection. Tandem mass-spectrometry identified several peaks, including the transcriptional regulator prothymosin- . Further investigation revealed differences in secretion of this peptide. These data show proof of concept that proteomic profiling of host markers could be used as prognostic markers of infectious disease.