ArticleJournal of clinical microbiology2005
Use of the MicroSeq 500 16S rRNA gene-based sequencing for identification of bacterial isolates that commercial automated systems failed to identify correctly.
Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05791357 (The Role of Polymerase Chain Reaction in the Management of Patients With Infective Endocarditis), which is not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Role of Polymerase Chain Reaction in the Management of Patients With Infective Endocarditis: Modern Diagnostic and Therapeutic Concepts
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Phoenix 100 versus Vitek 2 in the identification of gram-positive and gram-negative bacteria: a comprehensive meta-analysis.Journal of clinical microbiology · 2011Pooled it
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- Draft genome sequence of a prodigiosin-hyperproducing Serratia marcescens strain isolated from Cairo, Egypt.G3 (Bethesda, Md.) · 2021Article
- Diagnostic Value of 16S Ribosomal RNA Gene Polymerase Chain Reaction/Sanger Sequencing in Clinical Practice.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
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- Rapid oral bacteria detection based on real-time PCR for the forensic identification of saliva.Scientific reports · 2018Article
- 16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria.Journal of applied microbiology · 2017Article
- Robinsoniella peoriensis Bacteremia: a Second Case in Korea.Annals of laboratory medicine · 2017Article
- Helicobacter cinaedi knee infection after arthroscopy in an immunocompetent patient.BMJ case reports · 2015Article
- Use of 16S rRNA gene for identification of a broad range of clinically relevant bacterial pathogens.PloS one · 2015Article
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- Advancement in the routine identification of anaerobic bacteria by MALDI-TOF mass spectrometry.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2013Article
- First Korean case of Robinsoniella peoriensis bacteremia in a patient with aspiration pneumonia.Annals of laboratory medicine · 2012Article
- No need for biopsies: comparison of three sample techniques for wound microbiota determination.International wound journal · 2012Article
- Bacterial identification by 16S rRNA gene PCR-hybridization as a supplement to negative culture results.Journal of clinical microbiology · 2011Article
- Comparison of Phenotypic and Genotypic Methods Used for the Species Identification of Lactobacillus NP51 and Development of a Strain-Specific PCR Assay.Probiotics and antimicrobial proteins · 2010Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reliable automated identification and susceptibility testing of clinically relevant bacteria is an essential routine for microbiology laboratories, thus improving patient care. Examples of automated identification systems include the Phoenix (Becton Dickinson) and the VITEK 2 (bioMerieux). However, more and more frequently, microbiologists must isolate "difficult" strains that automated systems often fail to identify. An alternative approach could be the genetic identification of isolates; this is based on 16S rRNA gene sequencing and analysis. The aim of the present study was to evaluate the possible use of MicroSeq 500 (Applera) for sequencing the 16S rRNA gene to identify isolates whose identification is unobtainable by conventional systems. We analyzed 83 "difficult" clinical isolates: 25 gram-positive and 58 gram-negative strains that were contemporaneously identified by both systems--VITEK 2 and Phoenix--while genetic identification was performed by using the MicroSeq 500 system. The results showed that phenotypic identifications by VITEK 2 and Phoenix were remarkably similar: 74% for gram-negative strains (43 of 58) and 80% for gram-positive strains were concordant by both systems and also concordant with genetic characterization. The exceptions were the 15 gram-negative and 9 gram-positive isolates whose phenotypic identifications were contrasting or inconclusive. For these, the use of MicroSeq 500 was fundamental to achieving species identification. In clinical microbiology the use of MicroSeq 500, particularly for strains with ambiguous biochemical profiles (including slow-growing strains), identifies strains more easily than do conventional systems. Moreover, MicroSeq 500 is easy to use and cost-effective, making it applicable also in the clinical laboratory.
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