Objective
In china a large fraction of the population is infected by Mycobacterium tuberculosis with 500.000 new cases every year. The attenuated Mycobacterium bovis Bacillus Calmette Guerin (BCG) is the only available vaccine against TB. However this vaccine does not provide consistent protection against TB. Knowledge of the diversity of the M tuberculosis strains is of major importance to identify M. tuberculosis antigens and epitopes for new protective vaccines and specific diagnostic reagents. Previous work as well as our unpublished study on 70 Chinese M. tuberculosis strains showed that the Beijing genotype is prevalent in China. Strains of a similar genotype are found worldwide (particularly in Eastern Europe and in the countries of the former Soviet Union) and are often associated with multidrug-resistance. The very rapid and efficient dispersion of the Beijing strains suggest that they may have developed selective advantages. We are proposing to organize the analysis of a large collection of strains (3000) from the 31 Provinces of China. The data will be compared to the characteristics of strains collected in other countries. This will produce knowledge on the diversity of Chinese TB strains and show whether the dispersion of the Beijing type is of clonal origin. The present SSA aims at preparing the project in collaboration with Chinese scientists, transfer the technical knowledge, follow the progress of the experiments, collect the data in a shared-database and produce population analyses. The different partners of the consortium will first define the characteristics of the population to be included in the protocol and choose the appropriate methods for genotyping and multidrug-resistance (MDR) assessment. Data on the BCG status, age and gender of the patients as well as other relevant clinical information will be collected. Technical knowledge will be transmitted when necessary to Chinese laboratories through exchanges.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesclinical medicinepneumologytuberculosis
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistancemultidrug resistance
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Keywords
Topic(s)
Call for proposal
FP6-2003-LIFESCIHEALTH-3
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Funding Scheme
SSA - Specific Support ActionCoordinator
ORSAY
France