Abstract：
:Leptospirosis is an emerging worldwide zoonosis with a changing epidemiology responsible for an acute disease in humans and dogs. A better knowledge of the responsible bacterium Leptospira and in particular its various serovars and serogroups prevalence is essential for better diagnosis and prevention of the disease. The gold standard for leptospirosis diagnosis is the Microscopic Agglutination Test (MAT) but it requires long and fastidious laboratory work and sometimes results in controversial data. For these reasons, PCR-based techniques for detection of pathogenic leptospiral DNA in biological samples are currently replacing the MAT. However, these strategies do not provide any information regarding the infecting serovar or serogroup. In this study, an optimized genotyping method is described to allow the identification of Leptospira ssp. directly at serovars level using DNA extracted from canine blood and urine. 16S rDNA, Variable Number Tandem Repeat (VNTR) and Multispacer Sequence Typing (MST) protocols were adapted to biological samples. Eighty-eight DNA samples were analyzed from 72 different European canine clinical cases of leptospirosis confirmed by real-time PCR. 92% of DNA samples with Ct values below 34 were fully typed, and typing success decreased to about 30% for the other samples. Typing failure also showed a specie-specific correlation, with 63% of complete typing for L. interrogans and only 40% for L. kirschneri. Additionally, an exact match was observed between serological and molecular data for the few investigated cases where MAT data were available. This methodology is a suitable alternative to the MAT for determining the infecting serovar when Leptospira DNA from blood or urine is detected at Ct values below 34, contributing to clinical surveillance of leptospirosis.
journal_name
J Microbiol Methodsjournal_title
Journal of microbiological methodsauthors
Le Guyader M,Fontana C,Simon-Dufay N,Balzer HJ,Pantchev N,Thibault JC,Cupillard L,Bomchil N,Kodjo Adoi
10.1016/j.mimet.2020.106007subject
Has Abstractpub_date
2020-09-01 00:00:00pages
106007eissn
0167-7012issn
1872-8359pii
S0167-7012(20)30525-Xjournal_volume
176pub_type
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