Literature DB >> 24285448

Design, optimization and evaluation of a polymerase chain reaction for detection of borrelia spp.

Angel A Noda1, Islay Rodríguez, Brian Mondeja, Carman Fernándeze.   

Abstract

BACKGROUND: Lyme borreliosis and relapsing fever are important zoonotic diseases worldwide and the improvement of diagnostic strategies is a prioritized task considering the morbidity of these diseases in some areas. PCR based methods appear to be of utmost importance because of the high sensitivity and specificity of these assays.
OBJECTIVES: To obtain a molecular method based on PCR for the detection of the genus Borrelia infection in different specimens.
RESULTS: Sets of reported primers were evaluated "in silico" and they did not fulfill the proposal parameters. On the other hand, the two new, designed sets of primers were theoretically efficient for Borrelia DNA amplification. PCR procedures with these primers were standardized with borrelial DNA and optimum annealing temperatures, primer concentrations and reaction cycle numbers were determined. The PCR analytical sensitivity was 10 genomes per reaction for each technique. Both PCR were highly specific to different Borrelia species DNA and to samples (sera, cerebrospinal liquids and hard ticks) infected artificially with a Borrelia strain, visualizing the amplification of the expected DNA fragment. No amplification was obtained when other microorganisms were used. 36 human clinical samples were negatives in a preliminary study.
CONCLUSIONS: Both sets of primers with their respective PCR protocols showed similar results, which suggest that each one can be used indistinctly in detecting Borrelia spp., mainly in countries where the situation of these diseases are unknown.

Entities:  

Mesh:

Year:  2013        PMID: 24285448

Source DB:  PubMed          Journal:  Adv Clin Exp Med        ISSN: 1899-5276            Impact factor:   1.727


  2 in total

Review 1.  Relevance of chronic lyme disease to family medicine as a complex multidimensional chronic disease construct: a systematic review.

Authors:  Liesbeth Borgermans; Geert Goderis; Jan Vandevoorde; Dirk Devroey
Journal:  Int J Family Med       Date:  2014-11-24

2.  Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach.

Authors:  Ping Pan; Weifeng Jin; Xiaohong Li; Yi Chen; Jiahui Jiang; Haitong Wan; Daojun Yu
Journal:  PLoS One       Date:  2018-07-25       Impact factor: 3.240

  2 in total

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