Mikobakteri Türlerinin İdentifikasyonunda Polimeraz Zincir Reaksiyonu-Parça Uzunluk Polimorfizmi Tekniği ile Klasik Yöntemler Arasındaki Uyumun Belirlenmesi
Year: 2008
Type: article
Abstract: Determination of Coherency Between Polymerase Chain Reaction-Restriction Fragment Lenght Polymorphism Technique and Conventional Methods for the Identification of Mycobacteria at the Species Level Objective: There are still various problems at diagnosis and identification of tuberculosis. The aim of this study was to determine the coherency between molecular biologic and classical biochemical methods for the identification of Mycobacterium at the species level. Method: While nitrate, catalase and niacin tests were used for biochemical identification, Polymerase Chain Reaction-Restriction Fragment Length Polymorphism technique was used as molecular biologic method for isolated Mycobacterium spp. Results: It was detected that 30% of samples were positive with acid-fast bacilli smear before cultivation. While 43% of samples were culture positive by cultivation 30% of samples were positive for acid-fast bacilli smear and culture at the same time. 7 isolates (16.3%) were identified as Mycobacteria other than tuberculosis and 36 (83.7%) isolates were identified as Mycobacterium tuberculosis complex with Restriction Fragment Length Polymorphism technique. According to the biochemical identification, 40% of isolates had low activity for catalase test, 41% of isolates were positive for nitrate test, 30% of isolates were positive for niacin test. Conclusion: Coherency between Polymerase Chain Reaction-Restriction Fragment Length Polymorphism and conventional methods was evaluated by kappa statistics in our study. Coherency between two methods was determinated as middle degree. Disadvantages of Polymerase Chain Reaction-Restriction Fragment Length Polymorphism technique are false positive and negative results which can occur occasionally. We determined that classical and molecular techniques must be evaluated with clinical features at diagnosis of tuberculosis.
Authors: Gül Bayram, Gürol Emekdaş
Language: Turkish
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W1893908366