Detection and quantification of Mycobacterium leprae in tissue samples by real-time PCR

被引:0
作者
Stefanie Kramme
Gisela Bretzel
Marcus Panning
Joseph Kawuma
Christian Drosten
机构
[1] Bernhard Nocht Institute of Tropical Medicine,National Reference Center for Tropical Infections
[2] German Leprosy Relief Association,undefined
来源
Medical Microbiology and Immunology | 2004年 / 193卷
关键词
Real-time PCR; Molecular diagnostics; Leprosy;
D O I
暂无
中图分类号
学科分类号
摘要
Real-time PCR technology has improved molecular diagnostics of many pathogens, but no such test is available for Mycobacterium leprae. In this report we describe the establishment and the pre-clinical evaluation of such an assay. The test achieved a theoretical analytical sensitivity limit of 194 M. leprae cells per skin biopsy specimen and facilitated quantification of mycobacteria in tissue over a range of 54–54,000,000 cells per sample. In punch skin biopsies from 39 untreated Ugandan patients with newly diagnosed leprosy, the clinical diagnosis could be confirmed in 88.9% of multibacillary and 33.3% of paucibacillary (microscopically negative) patients. Real-time detection thus did not increase the clinical sensitivity of PCR as compared to conventional protocols, in spite of its evidently high analytical sensitivity. On the other hand, as still no culture system exists for M. leprae, the assay appears to be a robust tool for detection of the bacterium in selected clinical situations, as well as for quantitation in experimental settings.
引用
收藏
页码:189 / 193
页数:4
相关论文
共 50 条
  • [1] Detection and quantification of Mycobacterium leprae in tissue samples by real-time PCR
    Kramme, S
    Bretzel, G
    Panning, M
    Kawuma, J
    Drosten, C
    MEDICAL MICROBIOLOGY AND IMMUNOLOGY, 2004, 193 (04) : 189 - 193
  • [2] Validation of a Real-Time PCR for the Detection of Mycobacterium tuberculosis Complex Members in Bovine Tissue Samples
    Lorente-Leal, Victor
    Liandris, Emmanouil
    Castellanos, Elena
    Bezos, Javier
    Dominguez, Lucas
    de Juan, Lucia
    Romero, Beatriz
    FRONTIERS IN VETERINARY SCIENCE, 2019, 6
  • [3] LightCycler™ real-time PCR for rapid detection and quantitation of Mycobacterium leprae in skin specimens
    Rudeeaneksin, Janisara
    Srisungngam, Sopa
    Sawanpanyalert, Pathom
    Sittiwakin, Thaverit
    Likanonsakul, Sirirat
    Pasadorn, Supannee
    Palittapongarnpim, Prasit
    Brennan, Patrick J.
    Phetsuksiri, Benjawan
    FEMS IMMUNOLOGY AND MEDICAL MICROBIOLOGY, 2008, 54 (02): : 263 - 270
  • [4] Detection and quantification of Aeromonas salmonicida in fish tissue by real-time PCR
    Bartkova, S.
    Kokotovic, B.
    Skall, H. F.
    Lorenzen, N.
    Dalsgaard, I.
    JOURNAL OF FISH DISEASES, 2017, 40 (02) : 231 - 242
  • [5] Direct detection of Mycoplasma bovis in milk and tissue samples by real-time PCR
    Rossetti, Bigna C.
    Frey, Joachim
    Pilo, Paola
    MOLECULAR AND CELLULAR PROBES, 2010, 24 (05) : 321 - 323
  • [6] Detection and quantification of Anaplasma marginale DNA in blood samples of cattle by real-time PCR
    Carelli, G.
    Decaro, N.
    Lorusso, A.
    Elia, G.
    Lorusso, E.
    Mari, V.
    Ceci, L.
    Buonavoglia, C.
    VETERINARY MICROBIOLOGY, 2007, 124 (1-2) : 107 - 114
  • [7] DNA quantification by real-time PCR in different forensic samples
    Martins, C.
    Lima, G.
    Carvalho, M. R.
    Caine, L.
    Porto, M. J.
    FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES, 2015, 5 : E545 - E546
  • [8] A Real-Time PCR for Detection and Quantification of Mycoplasma ovipneumoniae
    Yang, Falong
    Dao, Xiaofang
    Rodriguez-Palacios, Alex
    Feng, Xufei
    Tang, Cheng
    Yang, Xiaonong
    Yue, Hua
    JOURNAL OF VETERINARY MEDICAL SCIENCE, 2014, 76 (12) : 1631 - 1634
  • [9] Detection and Quantification of Klebsiella pneumoniae in Fecal Samples Using Digital Droplet PCR in Comparison with Real-Time PCR
    Feng, Junxia
    Cui, Xiaohu
    Du, Bing
    Zhao, Hanqing
    Feng, Yanling
    Cui, Jinghua
    Yan, Chao
    Gan, Lin
    Fan, Zheng
    Fu, Tongtong
    Xu, Ziying
    Yu, Zihui
    Zhang, Rui
    Du, Shuheng
    Tian, Ziyan
    Zhang, Qun
    Xue, Guanhua
    Yuan, Jing
    MICROBIOLOGY SPECTRUM, 2023, 11 (04):
  • [10] Improved Quantitative Real-Time PCR Protocol for Detection and Quantification of Methanogenic Archaea in Stool Samples
    Cisek, Agata Anna
    Bak, Iwona
    Cukrowska, Bozena
    MICROORGANISMS, 2023, 11 (03)