Successful Leptospira genotyping strategy on DNA extracted from canine biological samples.

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.

Use of flow cytometry for rapid and accurate enumeration of live pathogenic Leptospira strains.

Enumeration of Leptospira, the causative agent of leptospirosis, is arduous mainly because of its slow growth rate. Rapid and reliable tools for numbering leptospires are still lacking. The current standard for Leptospira cultures is the count on Petroff-Hausser chamber under dark-field microscopy, but this method remains time-consuming, requires well-trained operators and lacks reproducibility. Here we present the development of a flow-cytometry technique for counting leptospires. We showed that upon addition of fluorescent dyes, necessary to discriminate the bacterial population from debris, several live Leptospira strains could be enumerated at different physiologic states. Flow cytometry titers were highly correlated to counts with Petroff-Hausser chambers (R2>0.99). Advantages of flow cytometry lie in its rapidity, its reproducibility significantly higher than Petroff-Hausser method and its wide linearity range, from 104 to 108leptospires/ml. Therefore, flow cytometry is a fast, reproducible and sensitive tool representing a promising technology to replace current enumeration techniques of Leptospira in culture. We were also able to enumerate Leptospira in artificially infected urine and blood with a sensitivity limit of 105leptospires/ml and 106leptospires/ml, respectively, demonstrating the feasibility to use flow cytometry as first-line tool for diagnosis or bacterial dissemination studies.