Evidence map›Paper›PMID 26808813›Full record

ArticlePloS one2016

Accurate Identification of Common Pathogenic Nocardia Species: Evaluation of a Multilocus Sequence Analysis Platform and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Meng Xiao, Lu Pang, Sharon C-A Chen, Xin Fan, Li Zhang, Hai-Xia Li, Xin Hou, Jing-Wei Cheng, Fanrong Kong, Yu-Pei Zhao and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Genetic Diversity ofAnimals : an open access journal from MDPI · 2025
    Article
  3. Article
  4. PersistentInfectious medicine · 2023
    Article
  5. Article
  6. Molecular identification and antimicrobial resistance pattern of Nocardia isolated from 14 diseased dogs and cats.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  7. Updated Review onClinical microbiology reviews · 2022
    Review
  8. Article
  9. Microbial risk assessment ofComputational and structural biotechnology journal · 2021
    Article
  10. Article
  11. Assessment of VITEK® MS IVD database V3.0 for identification of Nocardia spp. using two culture media and comparing direct smear and protein extraction procedures.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. The Complexities of Nocardia Taxonomy and Identification.Journal of clinical microbiology · 2018
    Review
  17. 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

11 authors.

Meng XiaoDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Lu PangDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Sharon C-A ChenCentre for Infectious Diseases and Microbiology Laboratory Services, ICPMR-Pathology West, Westmead Hospital, University of Sydney, Westmead, New South Wales, Australia.
Xin FanDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Li ZhangDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Hai-Xia LiDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Xin HouDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jing-Wei ChengDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Fanrong KongCentre for Infectious Diseases and Microbiology Laboratory Services, ICPMR-Pathology West, Westmead Hospital, University of Sydney, Westmead, New South Wales, Australia.
Yu-Pei ZhaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ying-Chun XuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

Hepatic Encephalopathy in Alcoholic Cirrhosis: A Systems Biology ApproachR01AA020203 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BAJAJ, JASMOHAN S · 2010 to 2012
$1.0M
NIAAA NIH HHS R01 AA020203
6 · The paper itself

Abstract

Species identification of Nocardia is not straightforward due to rapidly evolving taxonomy, insufficient discriminatory power of conventional phenotypic methods and also of single gene locus analysis including 16S rRNA gene sequencing. Here we evaluated the ability of a 5-locus (16S rRNA, gyrB, secA1, hsp65 and rpoB) multilocus sequence analysis (MLSA) approach as well as that of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) in comparison with sequencing of the 5'-end 606 bp partial 16S rRNA gene to provide identification of 25 clinical isolates of Nocardia. The 5'-end 606 bp 16S rRNA gene sequencing successfully assigned 24 of 25 (96%) clinical isolates to species level, namely Nocardia cyriacigeorgica (n = 12, 48%), N. farcinica (n = 9, 36%), N. abscessus (n = 2, 8%) and N. otitidiscaviarum (n = 1, 4%). MLSA showed concordance with 16S rRNA gene sequencing results for the same 24 isolates. However, MLSA was able to identify the remaining isolate as N. wallacei, and clustered N. cyriacigeorgica into three subgroups. None of the clinical isolates were correctly identified to the species level by MALDI-TOF MS analysis using the manufacturer-provided database. A small "in-house" spectral database was established incorporating spectra of five clinical isolates representing the five species identified in this study. After complementation with the "in-house" database, of the remaining 20 isolates, 19 (95%) were correctly identified to species level (score ≥ 2.00) and one (an N. abscessus strain) to genus level (score ≥ 1.70 and < 2.00). In summary, MLSA showed superior discriminatory power compared with the 5'-end 606 bp partial 16S rRNA gene sequencing for species identification of Nocardia. MALDI-TOF MS can provide rapid and accurate identification but is reliant on a robust mass spectra database.

Indexed as

Bacterial Typing TechniquesDNA, BacterialMultilocus Sequence TypingNocardiaRNA, Ribosomal, 16SSequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26808813
PMCPMC4726625

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Registered trials

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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.