You are here

PLoS One DOI:10.1371/journal.pone.0071463

Identification of Trypanosome proteins in plasma from African sleeping sickness patients infected with T. b. rhodesiense.

Publication TypeJournal Article
Year of Publication2013
AuthorsEyford, BA, Ahmad, R, Enyaru, JC, Carr, SA, Pearson, TW
JournalPLoS One
Date Published2013
KeywordsChild, Chromatography, Liquid, Female, Humans, Male, Middle Aged, Proteins, Proteomics, Tandem Mass Spectrometry, Trypanosoma brucei rhodesiense, Trypanosomiasis, African

Control of human African sleeping sickness, caused by subspecies of the protozoan parasite Trypanosoma brucei, is based on preventing transmission by elimination of the tsetse vector and by active diagnostic screening and treatment of infected patients. To identify trypanosome proteins that have potential as biomarkers for detection and monitoring of African sleeping sickness, we have used a 'deep-mining" proteomics approach to identify trypanosome proteins in human plasma. Abundant human plasma proteins were removed by immunodepletion. Depleted plasma samples were then digested to peptides with trypsin, fractionated by basic reversed phase and each fraction analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). This sample processing and analysis method enabled identification of low levels of trypanosome proteins in pooled plasma from late stage sleeping sickness patients infected with Trypanosoma brucei rhodesiense. A total of 254 trypanosome proteins were confidently identified. Many of the parasite proteins identified were of unknown function, although metabolic enzymes, chaperones, proteases and ubiquitin-related/acting proteins were found. This approach to the identification of conserved, soluble trypanosome proteins in human plasma offers a possible route to improved disease diagnosis and monitoring, since these molecules are potential biomarkers for the development of a new generation of antigen-detection assays. The combined immuno-depletion/mass spectrometric approach can be applied to a variety of infectious diseases for unbiased biomarker identification.


Alternate JournalPLoS ONE
PubMed ID23951171
PubMed Central IDPMC3738533