From genome-based in silico predictions to ex vivo verification of leprosy diagnosis.

  title={From genome-based in silico predictions to ex vivo verification of leprosy diagnosis.},
  author={Annemieke Geluk and John S Spencer and Kidist Bobosha and Maria Cristina Vidal Pessolani and Geraldo Moura Batista Pereira and S. Munawara Banu and Nadine Honor{\'e} and Stephen T Reece and Murdo Macdonald and Bishwa Raj Sapkota and Chaman Ranjit and Kees L M C Franken and Martha Zewdie and Abraham Aseffa and Rabia Hussain and Mariane M A Stefani and S. -T. Cho and Linda Oskam and Patrick Joseph Brennan and Hazel M. Dockrell},
  journal={Clinical and vaccine immunology : CVI},
  volume={16 3},
The detection of hundreds of thousands of new cases of leprosy every year suggests that transmission of Mycobacterium leprae infection still continues. Unfortunately, tools for identification of asymptomatic disease and/or early-stage M. leprae infection (likely sources of transmission) are lacking. The recent identification of M. leprae-unique genes has allowed the analysis of human T-cell responses to novel M. leprae antigens. Antigens with the most-promising diagnostic potential were tested… CONTINUE READING


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