detalle del documento
IDENTIFICACIÓN

doi:10.1186/s12866-023-03004-7...

Autor
Huang, Junfei Tong, Yi Chen, Yijiang Yang, Xinggui Wei, Xiaoyu Chen, Xu Li, Jinlan Li, Shijun
Langue
en
Editor

BioMed Central

Categoría

Mycology

Año

2023

fecha de cotización

4/10/2023

Palabras clave
... detection real-time multiple cross displacement amplif... endonuclease rapid mycobacterium detection sensitive e-rt-mcda leprosy
Métrico

Resumen

Background Mycobacterium leprae (ML) is the pathogen that causes leprosy, which has a long history and still exists today.

ML is an intracellular mycobacterium that dominantly induces leprosy by causing permanent damage to the skin, nerves, limbs and eyes as well as deformities and disabilities.

Moreover, ML grows slowly and is nonculturable in vitro.

Given the prevalence of leprosy, a highly sensitive and rapid method for the early diagnosis of leprosy is urgently needed.

Results In this study, we devised a novel tool for the diagnosis of leprosy by combining restriction endonuclease, real-time fluorescence analysis and multiple cross displacement amplification (E-RT-MCDA).

To establish the system, primers for the target gene RLEP were designed, and the optimal conditions for E-RT-MCDA at 67 °C for 36 min were determined.

Genomic DNA from ML, various pathogens and clinical samples was used to evaluate and optimize the E-RT-MCDA assay.

The limit of detection (LoD) was 48.6 fg per vessel for pure ML genomic DNA, and the specificity of detection was as high as 100%.

In addition, the detection process could be completed in 36 min by using a real-time monitor.

Conclusion The E-RT-MCDA method devised in the current study is a reliable, sensitive and rapid technique for leprosy diagnosis and could be used as a potential tool in clinical settings.

Huang, Junfei,Tong, Yi,Chen, Yijiang,Yang, Xinggui,Wei, Xiaoyu,Chen, Xu,Li, Jinlan,Li, Shijun, 2023, Highly sensitive and rapid determination of Mycobacterium leprae based on real-time multiple cross displacement amplification, BioMed Central

Documento

Abrir

Compartir

Fuente

Artículos recomendados por ES/IODE IA