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Gene-expression patterns in whole blood identify subjects at risk for recurrent tuberculosis

Authors :
Paul D. van Helden
Jacqueline M. Cliff
Don Wallace
Chris Clayton
Ken Duncan
Hazel M. Dockrell
Rohit Mistry
Paul A. Wilson
Pauline T. Lukey
Nulda Beyers
Yasmin S. Mohamed
Source :
The Journal of infectious diseases. 195(3)
Publication Year :
2006

Abstract

BACKGROUND: The majority of patients with tuberculosis who comply with appropriate treatment are cured. However, approximately 5% subsequently have a repeat disease episode, usually within 2 years of successful combination therapy. Presently, there is no way of predicting which patients will experience a relapse. METHODS: We identified 10 subjects who had previously experienced recurrent tuberculosis and carefully matched them to cured subjects who had had only 1 episode of tuberculosis, to patients with active tuberculosis, and to latently infected healthy subjects. We compared their ex vivo whole-blood gene-expression profiles by use of DNA array technology and confirmed the results by use of quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR). RESULTS: The 4 clinical tuberculosis groups exhibited distinct patterns of gene expression. The gene-transcript profiles of the patients with recurrent tuberculosis were more similar to those of the patients with active tuberculosis than to those of the cured or latently infected subjects. Discriminant analysis of a training data set showed that 9 genes were sufficient to classify the subjects. We confirmed that measurement of the expression of these genes by qRT-PCR can accurately discriminate between subjects in a test set of samples. CONCLUSIONS: A simple test based on gene-expression patterns may be used as a biomarker of cure while identifying patients who are at risk for relapse. This would facilitate the introduction of new tuberculosis drugs.

Details

ISSN :
00221899
Volume :
195
Issue :
3
Database :
OpenAIRE
Journal :
The Journal of infectious diseases
Accession number :
edsair.doi.dedup.....c6ffcf183e58d5eec47d91ccb6ff59f9