ABSTRACT
Leishmania protozoa are the etiological agents of visceral, cutaneous and mucocutaneous leishmaniasis. In specific geographical regions, such as Latin America, several Leishmania species are endemic and simultaneously present; therefore, a diagnostic method for species discrimination is warranted. In this attempt, many qPCR-based assays have been developed. Recently, we have shown that L. (L.) infantum and L. (L.) amazonensis can be distinguished through the comparison of the Cq values from two qPCR assays (qPCR-ML and qPCR-ama), designed to amplify kDNA minicircle subclasses more represented in L. (L.) infantum and L. (L.) amazonensis, respectively. This paper describes the application of this approach to L. (L.) mexicana and introduces a new qPCR-ITS1 assay followed by high-resolution melt (HRM) analysis to differentiate this species from L. (L.) amazonensis. We show that L. (L.) mexicana can be distinguished from L. (L.) infantum using the same approach we had previously validated for L. (L.) amazonensis. Moreover, it was also possible to reliably discriminate L. (L.) mexicana from L. (L.) amazonensis by using qPCR-ITS1 followed by an HRM analysis. Therefore, a diagnostic algorithm based on sequential qPCR assays coupled with HRM analysis was established to identify/differentiate L. (L.) infantum, L. (L.) amazonensis, L. (L.) mexicana and Viannia subgenus. These findings update and extend previous data published by our research group, providing an additional diagnostic tool in endemic areas with co-existing species.
ABSTRACT
This article contains the data regarding Leishmania species identification in human and canine clinical samples from a Brazilian region endemic for Leishmania (Viannia) spp., Leishmania (Leishmania) infantum and Leishmania (Leishmania) amazonensis, using a previously developed approach involving two qPCR assays (qPCR-ML and qPCR-ama). The data are related to the article "Real-time PCR to differentiate among Leishmania (Viannia) subgenus, Leishmania (Leishmania) infantum and Leishmania (Leishmania) amazonensis: application on Brazilian clinical samples" [1], and include also details of clinical evaluation/diagnosis of human patients and primer sequences used in the qPCR assays. The Leishmania species has been determined in 27 canine samples and 11 human samples, exploiting HRM analysis of qPCR-ML and Cq values of qPCR-ML and qPCR-ama, as reported previously [2]. The qPCR data were in agreement with the species characterization obtained with other methods such as conventional species-specific PCR, ITS1 PCR-RFLP or DNA sequencing. Despite the limited number of clinical samples, these data are encouraging for a potential application in regions where L. (Viannia) spp., L. (L.) infantum and L. (L.) amazonensis are co-endemic.
ABSTRACT
Leishmaniasis is a complex disease caused by Leishmania species belonging to subgenera Leishmania and Viannia. In South America, L. (L.) infantum is considered the most important causative agent of visceral leishmaniasis, while L. (L.) amazonensis and Viannia subgenus species are responsible for the different cutaneous or mucocutaneous forms. In our previous work, we developed a diagnostic approach for Leishmania species discrimination based on two qPCRs (qPCR-ML and qPCR-ama) targeting the minicircle kDNA followed by melting analysis. This approach allowed to (i) differentiate the subgenera Leishmania and Viannia, and (ii) distinguish between L. (L.) infantum and L. (L.) amazonensis. The aim of this work was to demonstrate the applicability of the approach previously described, using human and canine clinical samples and strains from a Brazilian region, where L. (L.) infantum, L. (L.) amazonensis and Viannia subgenus species coexist. After validation on New World strains, the diagnostic approach was applied blindly to 36 canine clinical samples (peripheral blood and bone marrow) and 11 human clinical samples (peripheral blood and bone marrow). The sensitivity was 95.6% (95% confidence interval 77.3-100%) and 100% (95% confidence interval 76.9-100%) in the canine bone marrow samples and human (peripheral blood and bone marrow) samples, respectively, compared to conventional PCR assays. Concerning the Leishmania species identification, the conventional and qPCR-based methods showed kappa value of 0.876 (95% confidence interval 0.638-1.000), indicating good agreement. Therefore, this approach proved to be useful in both veterinary and human clinical context in regions co-endemic for L. (L.) infantum, L. (L.) amazonensis, and Viannia subgenus, helping to provide rapid diagnosis and to allow studies of species distribution.