Literature DB >> 17525676

Application of real-time PCR to recognize atypical mycobacteria in archival skin biopsies: high prevalence of Mycobacterium haemophilum.

Lesla S Bruijnesteijn van Coppenraet1, Vincent T H B M Smit, Kate E Templeton, Eric C J Claas, Edward J Kuijper.   

Abstract

Atypical mycobacterial skin infections are difficult to diagnose owing to their aspecific histopathologic presentations and to the presence of few bacteria. Therefore, these infections are often not recognized. Molecular detection of mycobacterial DNA has proven to be useful in clinical samples. The aim of this study was to investigate the incidence of mycobacterial involvement in skin biopsies showing granulomatous inflammation, using real-time polymerase chain reaction (PCR). Real-time PCR specific for the genus Mycobacterium and the species Mycobacterium avium and Mycobacterium haemophilum was performed on formalin-fixed/paraffin-embedded biopsies from patients with granulomatous inflammation of the skin, from the period 1984 to 2004. A control group was assembled from patients with proven basal cell carcinoma. Amplicons of all positive reactions were sequenced to confirm or identify the mycobacterial species. Of 30 patients, 13 (43%) were found to be positive for mycobacterial infection, of whom only 5 patients had been previously diagnosed with a mycobacterial disease. M. haemophilum was identified as the most common species (n=7). The other identified species were Mycobacterium malmoense, Mycobacterium gordonae, and Mycobacterium marinum. The results show that real-time PCR is useful in detecting mycobacterial infections in undiagnosed formalin-fixed/paraffin-embedded skin samples and that the application of molecular approaches would improve the diagnoses of mycobacterial skin infections.

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Year:  2007        PMID: 17525676     DOI: 10.1097/PDM.0b013e318033625d

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  7 in total

1.  Mycobacterium smegmatis in skin biopsy specimens from patients with suppurative granulomatous inflammation.

Authors:  Zhe Xu; Di Lu; Xia Zhang; Haijing Li; Shufang Meng; Yue-Song Pan; Alan S Boyd; Lin Ma; Yi-Wei Tang
Journal:  J Clin Microbiol       Date:  2013-01-09       Impact factor: 5.948

Review 2.  Clinical manifestations, diagnosis, and treatment of Mycobacterium haemophilum infections.

Authors:  Jerome A Lindeboom; Lesla E S Bruijnesteijn van Coppenraet; Dick van Soolingen; Jan M Prins; Eduard J Kuijper
Journal:  Clin Microbiol Rev       Date:  2011-10       Impact factor: 26.132

3.  Rapid Identification of Mycobacterium tuberculosis and nontuberculous mycobacteria by multiplex, real-time PCR.

Authors:  E T Richardson; D Samson; N Banaei
Journal:  J Clin Microbiol       Date:  2009-03-18       Impact factor: 5.948

4.  Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics.

Authors:  Ronny Nienhold; Nadine Mensah; Angela Frank; Anne Graber; Jacqueline Koike; Nathalie Schwab; Claudia Hernach; Veronika Zsikla; Niels Willi; Gieri Cathomas; Baptiste Hamelin; Susanne Graf; Tobias Junt; Kirsten D Mertz
Journal:  Front Cell Infect Microbiol       Date:  2022-09-20       Impact factor: 6.073

Review 5.  Detection of microorganisms in granulomas that have been formalin-fixed: review of the literature regarding use of molecular methods.

Authors:  Jeannette Guarner
Journal:  Scientifica (Cairo)       Date:  2012-12-31

6.  Fatal skin and soft tissue infection of multidrug resistant Acinetobacter baumannii: A case report.

Authors:  Aqsa Ali; John Botha; Ravindranath Tiruvoipati
Journal:  Int J Surg Case Rep       Date:  2014-06-19

7.  Patient on Immunomodulatory Therapy Experiencing Joint Pain and Skin Lesions: A Case Report.

Authors:  Jason D Greenwood; Nathaniel Nielsen; Nathaniel E Miller
Journal:  J Prim Care Community Health       Date:  2021 Jan-Dec
  7 in total

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