Evidence map›Paper›PMID 25013955›Full record

ArticlePloS one2014

Improved identification of rapidly growing mycobacteria by a 16S-23S internal transcribed spacer region PCR and capillary gel electrophoresis.

Timothy J Gray, Fanrong Kong, Peter Jelfs, Vitali Sintchenko, Sharon C-A Chen

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Development of Quantitative Real-Time PCR Assays for Postmortem Detection ofJournal of the American Association for Laboratory Animal Science : JAALAS · 2017
    Article
  7. Article
  8. Article
  9. Surgical site infections due to rapidly growing mycobacteria in puducherry, India.Journal of clinical and diagnostic research : JCDR · 2015
    Article
  10. Article
  11. Article
  12. Surgical Site Infections due to Non-Tuberculous Mycobacteria.JNMA; journal of the Nepal Medical Association
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Timothy J GrayCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.
Fanrong KongCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.
Peter JelfsCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.
Vitali SintchenkoCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia; Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Westmead, New South Wales, Australia; Marie Bashir Institute for Emerging Infections and Biosecurity, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
Sharon C-A ChenCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia; Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Westmead, New South Wales, Australia; Marie Bashir Institute for Emerging Infections and Biosecurity, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of rapidly growing mycobacteria (RGM) remains problematic because of evolving taxonomy, limitations of current phenotypic methods and absence of a universal gene target for reliable speciation. This study evaluated a novel method of identification of RGM by amplification of the mycobacterial 16S-23S rRNA internal transcribed spacer (ITS) followed by resolution of amplified fragments by capillary gel electrophoresis (CGE). Nineteen American Type Culture Collection (ATCC) Mycobacterium strains and 178 clinical isolates of RGM (12 species) were studied. All RGM ATCC strains generated unique electropherograms with no overlap with slowly growing mycobacteria species, including M. tuberculosis. A total of 47 electropherograms for the 178 clinical isolates were observed allowing the speciation of 175/178 (98.3%) isolates, including the differentiation of the closely related species, M. massiliense (M. abscessus subspecies bolletii) and M. abscessus (M. abscessus sensu stricto). ITS fragment size ranged from 332 to 534 bp and 33.7% of clinical isolates generated electropherograms with two distinct peaks, while the remainder where characterized with a single peak. Unique peaks (fragment lengths) were identified for 11/12 (92%) RGM species with only M. moriokaense having an indistinguishable electropherogram from a rarely encountered CGE subtype of M. fortuitum. We conclude that amplification of the 16S-23S ITS gene region followed by resolution of fragments by CGE is a simple, rapid, accurate and reproducible method for species identification and characterization of the RGM.

Indexed as

Bacterial Typing TechniquesDNA, Ribosomal SpacerElectrophoresis, CapillaryHumansMycobacterium tuberculosisNontuberculous MycobacteriaPolymerase Chain ReactionReproducibility of ResultsRNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23SSensitivity and SpecificityTuberculosis, PulmonaryDNA, Ribosomal SpacerRNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID25013955
PMCPMC4094492

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.