Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Rapid Detection of <i>Mycobacterium tuberculosis</i> and Rifampin Resistance by Use of On-Demand, Near-Patient Technology

Danica HelbDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyMartin JonesElizabeth Story‐RollerDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyCatharina BoehmeFoundation for Innovative New Diagnostics, Geneva, SwitzerlandEllen WallaceKen HoJoAnn KopMichelle R. OwensRichard RodgersPadmapriya P. BanadaDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyHassan SafiDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyRobert BlakemoreDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyNguyễn Thị Ngọc LanEdward C. Jones‐LópezDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyMichael H. LeviMontefiore Medical Center, Bronx, New YorkMichele BurdayDepartment of Pathology, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New JerseyIrene AyakakaMakerere University-University of Medicine and Dentistry, New Jersey, Research Collaboration, Kampala, UgandaRoy D. MugerwaDepartment of Medicine, Makerere University School of Medicine, Kampala, UgandaBill McMillanEmily S. Winn-DeenL. A. ChristelPeter J. DaileyMark D. PerkinsFoundation for Innovative New Diagnostics, Geneva, SwitzerlandDavid H. PersingDavid AllandDepartment of Medicine, New Jersey Medical School, University of Medicine and Dentistry, New Jersey, Newark, New Jersey
2009en
ABI

Аннотация

Current nucleic acid amplification methods to detect Mycobacterium tuberculosis are complex, labor-intensive, and technically challenging. We developed and performed the first analysis of the Cepheid Gene Xpert System's MTB/RIF assay, an integrated hands-free sputum-processing and real-time PCR system with rapid on-demand, near-patient technology, to simultaneously detect M. tuberculosis and rifampin resistance. Analytic tests of M. tuberculosis DNA demonstrated a limit of detection (LOD) of 4.5 genomes per reaction. Studies using sputum spiked with known numbers of M. tuberculosis CFU predicted a clinical LOD of 131 CFU/ml. Killing studies showed that the assay's buffer decreased M. tuberculosis viability by at least 8 logs, substantially reducing biohazards. Tests of 23 different commonly occurring rifampin resistance mutations demonstrated that all 23 (100%) would be identified as rifampin resistant. An analysis of 20 nontuberculosis mycobacteria species confirmed high assay specificity. A small clinical validation study of 107 clinical sputum samples from suspected tuberculosis cases in Vietnam detected 29/29 (100%) smear-positive culture-positive cases and 33/39 (84.6%) or 38/53 (71.7%) smear-negative culture-positive cases, as determined by growth on solid medium or on both solid and liquid media, respectively. M. tuberculosis was not detected in 25/25 (100%) of the culture-negative samples. A study of 64 smear-positive culture-positive sputa from retreatment tuberculosis cases in Uganda detected 63/64 (98.4%) culture-positive cases and 9/9 (100%) cases of rifampin resistance. Rifampin resistance was excluded in 54/55 (98.2%) susceptible cases. Specificity rose to 100% after correcting for a conventional susceptibility test error. In conclusion, this highly sensitive and simple-to-use system can detect M. tuberculosis directly from sputum in less than 2 h.

Перевод пока недоступен

Идентификаторы

Цитирования и источники

Цитирований: 2Использованных источников: 0