Evidence map›Paper›PMID 23734239›Full record

ArticlePloS one2013

Rapid 16S rRNA next-generation sequencing of polymicrobial clinical samples for diagnosis of complex bacterial infections.

Stephen J Salipante, Dhruba J Sengupta, Christopher Rosenthal, Gina Costa, Jessica Spangler, Elizabeth H Sims, Michael A Jacobs, Samuel I Miller, Daniel R Hoogestraat, Brad T Cookson and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07626073 (h Can Provide the Detection Results of Pathogen Type and Resistant Gene. This Study is a Prospective Multi Centers Study to Explore Using the New Diagnostic Tool of " RPIP " and the Different Detection Methods of Next Generation Sequencing and Multiplex PC R in Patients With Pneumonia in ICU. Further Compare the Difference of Pathogen Identification and Clinical Impact by Different Diagnostic Methods.), which is not on this map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing 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.

NCT07626073 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

h Can Provide the Detection Results of Pathogen Type and Resistant Gene. This Study is a Prospective Multi Centers Study to Explore Using the New Diagnostic Tool of " RPIP " and the Different Detection Methods of Next Generation Sequencing and Multiplex PC R in Patients With Pneumonia in ICU. Further Compare the Difference of Pathogen Identification and Clinical Impact by Different Diagnostic Methods.

Typeobservational_patient_registrySponsorChina Medical University HospitalRan2023 to 2028Enrolled200ConditionsRespiratory Pathogens
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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  6. Article
  7. Review
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  11. The Use of Next-Generation Sequencing in Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  12. Article
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
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  20. Article

49 more citing papers are in PubMed but not listed here.

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

16 authors.

Stephen J SalipanteDepartment of Laboratory Medicine, University of Washington, Seattle, Washington, USA. stevesal@uw.edu
Dhruba J Sengupta
Christopher Rosenthal
Gina Costa
Jessica Spangler
Elizabeth H Sims
Michael A Jacobs
Samuel I Miller
Daniel R Hoogestraat
Brad T Cookson
Connor McCoy
Frederick A Matsen
Jay Shendure
Clarence C Lee
Timothy T Harkins
Noah G Hoffman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classifying individual bacterial species comprising complex, polymicrobial patient specimens remains a challenge for culture-based and molecular microbiology techniques in common clinical use. We therefore adapted practices from metagenomics research to rapidly catalog the bacterial composition of clinical specimens directly from patients, without need for prior culture. We have combined a semiconductor deep sequencing protocol that produces reads spanning 16S ribosomal RNA gene variable regions 1 and 2 (∼360 bp) with a de-noising pipeline that significantly improves the fraction of error-free sequences. The resulting sequences can be used to perform accurate genus- or species-level taxonomic assignment. We explore the microbial composition of challenging, heterogeneous clinical specimens by deep sequencing, culture-based strain typing, and Sanger sequencing of bulk PCR product. We report that deep sequencing can catalog bacterial species in mixed specimens from which usable data cannot be obtained by conventional clinical methods. Deep sequencing a collection of sputum samples from cystic fibrosis (CF) patients reveals well-described CF pathogens in specimens where they were not detected by standard clinical culture methods, especially for low-prevalence or fastidious bacteria. We also found that sputa submitted for CF diagnostic workup can be divided into a limited number of groups based on the phylogenetic composition of the airway microbiota, suggesting that metagenomic profiling may prove useful as a clinical diagnostic strategy in the future. The described method is sufficiently rapid (theoretically compatible with same-day turnaround times) and inexpensive for routine clinical use.

Indexed as

BacteriaBacterial InfectionsBacterial Typing TechniquesCystic FibrosisDNA, BacterialHigh-Throughput Nucleotide SequencingHumansMetagenomeMicrobiotaPhylogenyPolymerase Chain ReactionReproducibility of ResultsRNA, Ribosomal, 16SSpecies SpecificitySputumDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID23734239
PMCPMC3666980

What OpenQuestion holds

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Registered trials

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.