Optimization and clinical validation of new and improved TaqMan Real-Time PCR assays for the detection of pathogenic Leptospira.

Leptospirosis is an infectious neglected zoonotic disease caused by pathogenic bacteria of the genus Leptospira. The genus comprises 43 pathogenic species, divided into two clades (P1 and P2), with the potential to cause disease on animals and humans. Despite the major impact of this disease on animal and human health, few quantitative real-time polymerase chain reaction (qPCR) assays have been validated to specifically detect all pathogenic Leptospira species, thwarting diagnosis and epidemiological studies. The gene encoding LipL32, the major leptospiral outer membrane protein, discriminates pathogenic P1 species from P2 and saprophytic. However, with the recent discovery of new species, the current lipL32-based qPCR assay cannot detect all classified P1 species. Furthermore, there are no currently validated molecular methods able to differentiate the presence of P1 and P2 species on clinical samples. Previous analyses have shown that the 23S ribosomal RNA gene displays considerable conservation in P1 and P2 species but sequence divergence in saprophytic species, a promising target for PCR-based detection and discrimination of those two clades. This study optimized and validated an improved lipL32- and 23S-based TaqMan qPCR assay using human and animal clinical samples. These newly optimized and developed assays resulted in a lower limit of detection and increased diagnostic sensitivity, resulting in the detection of all pathogenic species of the genus Leptospira currently described. These assays will improve the detection of leptospires from clinical and environmental samples, providing a valuable epidemiological and clinical tool to support One Health research on this important emerging disease.