Dataset Information

Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.

ABSTRACT:

Background

Development of robust, sensitive, and reproducible diagnostic tests for understanding the epidemiology of neglected tropical diseases is an integral aspect of the success of worldwide control and elimination programs. In the treatment of onchocerciasis, clinical diagnostics that can function in an elimination scenario are non-existent and desperately needed. Due to its sensitivity and quantitative reproducibility, liquid chromatography-mass spectrometry (LC-MS) based metabolomics is a powerful approach to this problem.

Methodology/principal findings

Analysis of an African sample set comprised of 73 serum and plasma samples revealed a set of 14 biomarkers that showed excellent discrimination between Onchocerca volvulus-positive and negative individuals by multivariate statistical analysis. Application of this biomarker set to an additional sample set from onchocerciasis endemic areas where long-term ivermectin treatment has been successful revealed that the biomarker set may also distinguish individuals with worms of compromised viability from those with active infection. Machine learning extended the utility of the biomarker set from a complex multivariate analysis to a binary format applicable for adaptation to a field-based diagnostic, validating the use of complex data mining tools applied to infectious disease biomarker discovery and diagnostic development.

Conclusions/significance

An LC-MS metabolomics-based diagnostic has the potential to monitor the progression of onchocerciasis in both endemic and non-endemic geographic areas, as well as provide an essential tool to multinational programs in the ongoing fight against this neglected tropical disease. Ultimately this technology can be expanded for the diagnosis of other filarial and/or neglected tropical diseases.

SUBMITTER: Denery JR

PROVIDER: S-EPMC2950146 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Publications

Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.

Denery Judith R JR Nunes Ashlee A K AA Hixon Mark S MS Dickerson Tobin J TJ Janda Kim D KD

PLoS neglected tropical diseases 20101005 10

<h4>Background</h4>Development of robust, sensitive, and reproducible diagnostic tests for understanding the epidemiology of neglected tropical diseases is an integral aspect of the success of worldwide control and elimination programs. In the treatment of onchocerciasis, clinical diagnostics that can function in an elimination scenario are non-existent and desperately needed. Due to its sensitivity and quantitative reproducibility, liquid chromatography-mass spectrometry (LC-MS) based metabolom ...[more]

PMID: 20957145

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Dataset Information

Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.

Background

Methodology/principal findings

Conclusions/significance

Publications

Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.

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