Literature DB >> 15905691

A molecular gram stain using broad range PCR and pyrosequencing technology: a potentially useful tool for diagnosing orthopaedic infections.

Naomi Kobayashi1, Thomas W Bauer, Daisuke Togawa, Isador H Lieberman, Hiroshige Sakai, Takaaki Fujishiro, Marion J Tuohy, Gary W Procop.   

Abstract

The bacteria associated with orthopaedic infections are usually common gram-positive and gram-negative bacteria. This fundamental grouping of bacteria is a necessary first step in the selection of appropriate antibiotics. Since polymerase chain reaction (PCR) is more rapid and may be more sensitive than culture, we developed a postamplification pyrosequencing method to subcategorize bacteria based on a few nucleotide polymorphisms in the 16S rRNA gene. We validated this method using well-characterized strains of bacteria and applied it to specimens from spinal surgery cases with suspected infections. Lysates of 114 bacteria including 75 species were created following standard cultivation to obtain DNA. The DNA was amplified by a broad-range real-time PCR. The amplicons were evaluated by pyrosequencing and were classified as gram-positive, gram-negative, or acid-fast bacilli based on the first three to five nucleotides sequenced. In addition, clinical cases of suspected infection were obtained from spinal surgery. The results of the "molecular Gram stain" were compared with the results of traditional Gram stain and culture. The lysates of 107 (93.9%) of the bacteria extracts tested were appropriately categorized as gram-positive and gram-negative or as acid-fast bacilli on the basis of this assay. The sensitivity and specificity of this assay were 100% and 97.4% for gram-positive and 88.3% and 100% for gram-negative isolates. All of the five clinical samples were appropriately categorized as containing gram-positive or gram-negative bacteria with this assay. This study demonstrates that high sensitivity and specificity of a molecular gram stain may be achieved using broad-range real-time PCR and pyrosequencing.

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Year:  2005        PMID: 15905691     DOI: 10.1097/01.pas.0000162753.38284.1a

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


  10 in total

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2.  Recent advances: infections of the spine.

Authors:  Frank L Acosta; Luis F Galvez; Henry E Aryan; Christopher P Ames
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3.  Molecular identification of bacteria from aseptically loose implants.

Authors:  Naomi Kobayashi; Gary W Procop; Viktor Krebs; Hideo Kobayashi; Thomas W Bauer
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4.  Indolent infection in nonunion of the distal femur.

Authors:  Ji Wan Kim; Seong-Eun Byun; Hyoung Keun Oh; Jung Jae Kim
Journal:  Eur J Orthop Surg Traumatol       Date:  2014-09-05

5.  Testing for drug hypersensitivity syndromes.

Authors:  Craig M Rive; Jack Bourke; Elizabeth J Phillips
Journal:  Clin Biochem Rev       Date:  2013-02

6.  Evaluation of a broad range real-time polymerase chain reaction (RT-PCR) assay for the diagnosis of septic synovitis in horses.

Authors:  Colette R Elmas; Judith B Koenig; Dorothee Bienzle; Nicola C Cribb; Natalia Cernicchiaro; Nathalie M Coté; J Scott Weese
Journal:  Can J Vet Res       Date:  2013-07       Impact factor: 1.310

7.  DNA pyrosequencing-based bacterial pathogen identification in a pediatric hospital setting.

Authors:  Ruth Ann Luna; Lea R Fasciano; Shaunte C Jones; Bobby L Boyanton; Trang T Ton; James Versalovic
Journal:  J Clin Microbiol       Date:  2007-07-25       Impact factor: 5.948

8.  Automated Broad-Range Molecular Detection of Bacteria in Clinical Samples.

Authors:  Andries E Budding; Martine Hoogewerf; Christina M J E Vandenbroucke-Grauls; Paul H M Savelkoul
Journal:  J Clin Microbiol       Date:  2016-01-13       Impact factor: 5.948

9.  Pathogen Identification in Suspected Cases of Pyogenic Spondylodiscitis.

Authors:  Ahmad Farajzadeh Sheikh; Azar D Khosravi; Hamed Goodarzi; Roohangiz Nashibi; Alireaza Teimouri; Azim Motamedfar; Reza Ranjbar; Sara Afzalzadeh; Mehrandokht Cyrus; Mohammad Hashemzadeh
Journal:  Front Cell Infect Microbiol       Date:  2017-03-09       Impact factor: 5.293

Review 10.  Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology.

Authors:  Christopher D Sibley; Gisele Peirano; Deirdre L Church
Journal:  Infect Genet Evol       Date:  2012-02-09       Impact factor: 3.342

  10 in total

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