Ruggeri, Melania (2016) Studio di un nuovo algoritmo diagnostico per l’identificazione dei micobatteri non tubercolari (NTM). Doctoral Thesis.
NTM (Non tuberculous mycobacteria) count more than 160 species, widely dispersed in the environment as saprophites, but they can cause severe infections in human. The identification of NTM to the species level is extremely important to determine whether it is or not a NTM infection and the proper treatment. Therefore, many techniques have been developed for the accurate and rapid identification of NTM, among which PCR-RFLPs (PRAs) are easy, rapid and inexpensive tools for identifying mycobacterial species.
The aim of this work was to realise a new PCR-RFLP technique with a high discriminatory power, cost effective, easy to be performed and able to overcome the limits of those used nowadays, using a new target, called dnaK, described as a powerful potential target for the identification of NTM.
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