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Studio di un nuovo algoritmo diagnostico per l’identificazione dei micobatteri non tubercolari (NTM)

Ruggeri, Melania (2016) Studio di un nuovo algoritmo diagnostico per l’identificazione dei micobatteri non tubercolari (NTM). Doctoral Thesis.

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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.
30 mycobacterial species were used to develop a novel algorithm targeting locus dnaK and using restriction enzymes Fau I and BstMW I, which was successfully blind tested on 45 clinical micobacterial isolates that had been already identified to the species level with other techniques. Moreover, dnaK-PRA was tested on 40 clinical samples whose cultures were positive for mycobacteria and correctly detect and identified mycobacterial species in up to 82% of them.
The results obtained showed that dnak-PRA is a reliable tool for the identification of mycobacterial isolates to the species level and can be helpful to detect and identify mycobacteria directly from clinical samples.

Item Type:Doctoral Thesis
ID Code:11088
Contributors:Zanetti, Stefania Anna Lucia
Publisher:Universita' degli studi di Sassari
Uncontrolled Keywords:NTM, species identification, PCR-RFLP
Subjects:Area 06 - Scienze mediche > MED/07 Microbiologia e microbiologia clinica
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Biomediche
Cicli, scuole e corsi:Ciclo 28 > Scienze biomolecolari e biotecnologiche > Microbiologia e immunologia
Deposited On:03 May 2016 10:15

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