Literature DB >> 29040079

Identification of nontuberculous mycobacteria isolated from hospital water by sequence analysis of the hsp65 and 16S rRNA genes.

Mehdi Roshdi Maleki1, Hossein Samadi Kafil2, Naser Harzandi1, Seyyed Reza Moaddab3.   

Abstract

Nontuberculous mycobacteria (NTM) have emerged as an important cause of opportunistic nosocomial infections. NTM has frequently been isolated from hospital water distribution systems. The aim of this study was to survey the risk of NTM infections and determine the prevalence of NTM species in the hospital water distribution systems in Tabriz, Iran. One hundred and twenty samples of water from different sources of Tabriz hospitals were collected. The samples were filtered through 0.45-µm pore size membranes and decontaminated with 0.01% cetylpyridinium chloride. The sediment was inoculated onto Lowenstein-Jensen medium and incubated for 8 weeks. For identification to the species level, partial sequence analysis of the hsp65 and 16S rRNA genes were used. NTM were detected in 76 (63.3%) of 120 samples. Potentially pathogenic mycobacteria and saprophytic mycobacteria were isolated. Mycobacterium gordonae was the only single species that was present in all types of water. The prevalence of NTM in Tabriz hospitals' water compared with many investigations on hospital waters was high. This indicates that the immunocompromised patients and transplant recipients are at risk of contamination which necessitates considering decontamination of water sources to prevent such potential hazards.

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Year:  2017        PMID: 29040079     DOI: 10.2166/wh.2017.046

Source DB:  PubMed          Journal:  J Water Health        ISSN: 1477-8920            Impact factor:   1.744


  3 in total

Review 1.  An update on prevalence of slow-growing mycobacteria and rapid-growing mycobacteria retrieved from hospital water sources in Iran - a systematic review.

Authors:  Maryam Arfaatabar; Pezhman Karami; Azad Khaledi
Journal:  Germs       Date:  2021-03-15

2.  Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates.

Authors:  Qiong Ma; Qi Zhang; Youhua Yuan; Wenjuan Yan; Shanmei Wang; Junhong Xu; Jiangfeng Zhang; Yuming Wang; Yi Li
Journal:  BMC Microbiol       Date:  2020-10-20       Impact factor: 3.605

3.  Reply to Pavlik et al. Clinical Relevance and Environmental Prevalence of Mycobacterium fortuitum Group Members. Comment on "Mugetti et al. Gene Sequencing and Phylogenetic Analysis: Powerful Tools for an Improved Diagnosis of Fish Mycobacteriosis Caused by Mycobacterium fortuitum Group Members. Microorganisms 2021, 9, 797".

Authors:  Davide Mugetti; Mattia Tomasoni; Paolo Pastorino; Giuseppe Esposito; Vasco Menconi; Alessandro Dondo; Marino Prearo
Journal:  Microorganisms       Date:  2021-12-28
  3 in total

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