Literature DB >> 22120792

Laboratory aspects of clinically significant rapidly growing mycobacteria.

R Set1, J Shastri.   

Abstract

The pathogenic potential of the rapidly growing mycobacteria (RGM) has started being recognized. This is due to more sensitive and specific techniques in the laboratory. The RGM are generally defined as nontuberculous species of mycobacteria that show visible growth on agar media within 7 days. RGM are widely distributed in nature and have been isolated from natural water, tap water, and soil. Several biochemical tests, high performance liquid chromatography, and molecular techniques have been developed for rapid identification of these species. The American Thoracic Society and the Infectious Disease Society of America recommend that RGM should be identified to the species level using a recognized acceptable methodology such as polymerase chain reaction restriction enzyme analysis or biochemical testing and routine susceptibility testing of RGM should include amikacin, imipenem, doxycycline, the fluorinated quinolones, a sulphonamide or trimethoprim-sulphamethoxazole, cefoxitin, clarithromycin, linezolid, and tobramycin. The diseases caused by these organisms have varied manifestations. They have been responsible for a number of healthcare-associated outbreaks and pseudo-outbreaks. For recognition of outbreaks, it is important to be familiar with the causative organisms like RGM which are most frequently involved in healthcare-associated outbreaks and pseudo outbreaks. It is essential to intervene as soon as possible to interrupt this transmission. Large gaps still exist in our knowledge of RGM. Unquestionably more studies are required. Through this review, we wish to emphasize that reporting of RGM from clinical settings along with their sensitivity patterns is an absolute need of the hour.

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Year:  2011        PMID: 22120792     DOI: 10.4103/0255-0857.90157

Source DB:  PubMed          Journal:  Indian J Med Microbiol        ISSN: 0255-0857            Impact factor:   0.985


  6 in total

1.  High prevalence of non-tuberculous mycobacterial disease among non-HIV infected individuals in a TB endemic country--experience from a tertiary center in Delhi, India.

Authors:  Sarika Jain; Manimuthu M Sankar; Navneet Sharma; Sarman Singh; T D Chugh
Journal:  Pathog Glob Health       Date:  2014-03       Impact factor: 2.894

2.  Antimicrobial susceptibility of rapidly growing mycobacteria using the rapid colorimetric method.

Authors:  I B Ramis; M Cnockaert; A von Groll; C L Nogueira; S C Leão; E Andre; A Simon; J C Palomino; P E A da Silva; P Vandamme; A Martin
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-03-29       Impact factor: 3.267

3.  Molecular identification of non-tuberculous mycobacteria isolated from clinical specimens in Zambia.

Authors:  Grace Mwikuma; Geoffry Kwenda; Bernard M Hang'ombe; Edgar Simulundu; Trevor Kaile; Selestine Nzala; Seter Siziya; Yasuhiko Suzuki
Journal:  Ann Clin Microbiol Antimicrob       Date:  2015-01-16       Impact factor: 3.944

4.  Mycobacterium abscessus D-alanyl-D-alanine dipeptidase induces the maturation of dendritic cells and promotes Th1-biased immunity.

Authors:  Seung Jun Lee; Jong-Hwa Jang; Gun Young Yoon; Da Rae Kang; Hee Jo Park; Sung Jae Shin; Hee Dong Han; Tae Heung Kang; Won Sun Park; Young Kyung Yoon; Byoung Yul Soh; In Duk Jung; Yeong-Min Park
Journal:  BMB Rep       Date:  2016-10       Impact factor: 4.778

5.  Profile of Nontuberculous Mycobacteria in Patients Suspected of Tuberculosis and Drug-Resistant Tuberculosis.

Authors:  Megha Sharma; Bharti Malhotra; Jitendra Tiwari; Shipra Bhargava
Journal:  J Lab Physicians       Date:  2020-11-23

6.  Rapid diagnosis of disseminated Mycobacterium mucogenicum infection in formalin-fixed, paraffin-embedded specimen using next-generation sequencing: A case report.

Authors:  Jing Liu; Zi-Ying Lei; Yi-Hua Pang; Ying-Xiong Huang; Le-Jia Xu; Jian-Yun Zhu; Jia-Xing Zheng; Xiao-Hua Yang; Bing-Liang Lin; Zhi-Liang Gao; Chao Zhuo
Journal:  World J Clin Cases       Date:  2021-07-16       Impact factor: 1.337

  6 in total

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