Methods for molecular surveillance of influenza used in Macedonia.

Autor: Bosevska G; Institute of Public Health of the Republic of Macedonia, Skopje, R. Macedonia., Janceska E, Kuzmanovska G, Mikik V, Panovski N
Jazyk: angličtina
Zdroj: Prilozi (Makedonska akademija na naukite i umetnostite. Oddelenie za medicinski nauki) [Pril (Makedon Akad Nauk Umet Odd Med Nauki)] 2014; Vol. 35 (2), pp. 25-30.
DOI: 10.2478/prilozi-2014-0003
Abstrakt: The Aim: To present and compare different Nucleic Acid Testing assays used for laboratory diagnosis of influenza virus infection in our country.
Materials and Methods: Respiratory samples used were nose and throat swabs. The RNA extraction was performed with a QIAamp viral RNA kit. During the season 2009–2010 the first 25 samples were tested with: conventional gel-based RT-PCR and CDC rtRT-PCR using published specific matrix and HA gene primers and probes for influenza virus typing and subtyping.
Results: Of 25 samples tested with conventional RT-PCR 7(28%) were positive for influenza A, but negative for A/H1seasonal and A/H3. Retested with rtRT-PCR 9(36%) were positive for influenza A, 8(32%) were positive for А/H1pdm and 1(4%) was А/H3. Two samples positive with rtRT-PCR for influenza A were negative with RT-PCR. The sensitivity of the RT-PCR in comparison with rtRT-PCR is 100% and the specificity is 88.89%. Positive predictive value for RT-PCR is 77.78%, and negative predictive value is 100%. RT-PCR is a four-step and rtRT-PCR a one-step procedure. The turn-around time of RT-PCR is 6 hours and for rtRT-PCR it is 2 hours.
Discussion and Conclusion: For surveillance purposes nose and throat swabs are the more easy and practical to collect. It was proved that RT-PCR is too laborious, multi-step and time-consuming. The sensitivity of both assays is equal. The specificity of rtRT-PCR is higher. NAT assays for detection of influenza viruses have become an integral component of the surveillance programme in our country. They provide a fast, accurate and sensitive detection of influenza.
Databáze: MEDLINE