Evidence map›Paper›PMID 30213965›Full record

ArticleScientific reports2018

Critical steps in clinical shotgun metagenomics for the concomitant detection and typing of microbial pathogens.

Natacha Couto, Leonard Schuele, Erwin C Raangs, Miguel P Machado, Catarina I Mendes, Tiago F Jesus, Monika Chlebowicz, Sigrid Rosema, Mário Ramirez, João A Carriço and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Distribution of bacteria infected by metagenomic sequencing technology in maxillofacial space.Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Natacha CoutoUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands. n.monge.gomes.do.couto@umcg.nl.ORCID 0000-0002-9152-5464
Leonard SchueleUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Erwin C RaangsUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Miguel P MachadoInstituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Catarina I MendesUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Tiago F JesusInstituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID 0000-0001-8054-4136
Monika ChlebowiczUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Sigrid RosemaUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Mário RamirezInstituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
João A CarriçoInstituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Ingo B AutenriethInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Alex W FriedrichUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.
Silke PeterInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
John W RossenUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands.ORCID 0000-0002-7167-8623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High throughput sequencing has been proposed as a one-stop solution for diagnostics and molecular typing directly from patient samples, allowing timely and appropriate implementation of measures for treatment, infection prevention and control. However, it is unclear how the variety of available methods impacts the end results. We applied shotgun metagenomics on diverse types of patient samples using three different methods to deplete human DNA prior to DNA extraction. Libraries were prepared and sequenced with Illumina chemistry. Data was analyzed using methods likely to be available in clinical microbiology laboratories using genomics. The results of microbial identification were compared to standard culture-based microbiological methods. On average, 75% of the reads corresponded to human DNA, being a major determinant in the analysis outcome. None of the kits was clearly superior suggesting that the initial ratio between host and microbial DNA or other sample characteristics were the major determinants of the proportion of microbial reads. Most pathogens identified by culture were also identified through metagenomics, but substantial differences were noted between the taxonomic classification tools. In two cases the high number of human reads resulted in insufficient sequencing depth of bacterial DNA for identification. In three samples, we could infer the probable multilocus sequence type of the most abundant species. The tools and databases used for taxonomic classification and antimicrobial resistance identification had a key impact on the results, recommending that efforts need to be aimed at standardization of the analysis methods if metagenomics is to be used routinely in clinical microbiology.

Indexed as

BacteriaBody FluidsDNA, BacterialDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingHumansMetagenomicsMicrobial Sensitivity TestsMolecular TypingRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID30213965
PMCPMC6137123

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.