A novel approach for differentiating pathogenic and non-pathogenic Leptospira based on molecular fingerprinting.

Abstract

Leptospirosis is a worldwide zoonosis that is caused by spirochetes of the genus Leptospira. Leptospirosis is a serious zoonotic disease that has become an important public health problem. Traditional serological methods are the gold standard for the detection of pathogenic strains of Leptospira. However, serological procedures are cumbersome, require more complex experimental techniques, and are based on a large number of international and domestic reference strains. Additionally, these experiments involve the immunization of animals with antigens from different serotypes to produce immune serum, and improper techniques may result in a rapid decrease in antibody titer, which would affect the final results. It is difficult to perform cumbersome detection procedures in a basic laboratory. Therefore, the use of conventional serological methods is limited, which significantly impacts daily leptospirosis epidemic surveillance, prevention, and control. Molecular biology methods, such as 16S rRNA and PCR-based methods, can be used to identify the pathogenic Leptospira. However, DNA extraction and gene sequencing methods are laborious and time consuming. Therefore, more rapid and reliable high-throughput identification methods are urgently needed for the clinical diagnosis of leptospirosis to improve epidemic control. Here, molecular fingerprinting technique was use to identify the pathogenicity. We constructed the reference spectra database and the super reference spectra of pathogenic and non-pathogenic Leptospira, which can rapidly identified Leptospira at the species level and the pathogenicity of these isolates can be simultaneously confirmed. Furthermore, the protein components of Leptospira pathogenicity were revealed. These findings thus provide a new way for Leptospira pathogenicity identification.