Evidence map›Paper›PMID 26637379›Full record

ArticleJournal of clinical microbiology2016

Metagenomic Approach for Identification of the Pathogens Associated with Diarrhea in Stool Specimens.

Yanjiao Zhou, Kristine M Wylie, Rana E El Feghaly, Kathie A Mihindukulasuriya, Alexis Elward, David B Haslam, Gregory A Storch, George M Weinstock

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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

  1. Pooled it
  2. Clinical utility of metagenomic next-generation sequencing in precision diagnosis of infectious diseases: a retrospective study based on bronchoalveolar lavage fluid, blood, and cerebrospinal fluid.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  4. Review
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  10. HPD-Kit: a comprehensive toolkit for pathogen detection and analysis.Frontiers in cellular and infection microbiology · 2025
    Article
  11. Article
  12. Article
  13. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  14. Article
  15. Article
  16. Observational
  17. Nanopore R10.4 metagenomic detection of blaNature communications · 2024
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  18. Article
  19. Article
  20. Advances in diagnostic assays forFrontiers in cellular and infection microbiology · 2024
    Review

2 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

8 authors.

Yanjiao ZhouDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.
Kristine M WylieDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.
Rana E El FeghalyDepartment of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Kathie A MihindukulasuriyaMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA.
Alexis ElwardDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.
David B HaslamDivision of Infectious Disease, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Gregory A StorchDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.
George M WeinstockMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA george.weinstock@jax.org.

Funding

Sequencing the Human MicrobiomeU54HG004968 · NHGRI · WASHINGTON UNIVERSITY · PI WILSON, RICHARD K. · 2009 to 2012
$16.7M
NHGRI NIH HHS U54 HG004968NHGRI NIH HHS U54HG004968.
6 · The paper itself

Abstract

The potential to rapidly capture the entire microbial community structure and/or gene content makes metagenomic sequencing an attractive tool for pathogen identification and the detection of resistance/virulence genes in clinical settings. Here, we assessed the consistency between PCR from a diagnostic laboratory, quantitative PCR (qPCR) from a research laboratory, 16S rRNA gene sequencing, and metagenomic shotgun sequencing (MSS) for Clostridium difficile identification in diarrhea stool samples. Twenty-two C. difficile-positive diarrhea samples identified by PCR and qPCR and five C. difficile-negative diarrhea controls were studied. C. difficile was detected in 90.9% of C. difficile-positive samples using 16S rRNA gene sequencing, and C. difficile was detected in 86.3% of C. difficile-positive samples using MSS. CFU inferred from qPCR analysis were positively correlated with the relative abundance of C. difficile from 16S rRNA gene sequencing (r(2) = -0.60) and MSS (r(2) = -0.55). C. difficile was codetected with Clostridium perfringens, norovirus, sapovirus, parechovirus, and anellovirus in 3.7% to 27.3% of the samples. A high load of Candida spp. was found in a symptomatic control sample in which no causative agents for diarrhea were identified in routine clinical testing. Beta-lactamase and tetracycline resistance genes were the most prevalent (25.9%) antibiotic resistance genes in these samples. In summary, the proof-of-concept study demonstrated that next-generation sequencing (NGS) in pathogen detection is moderately correlated with laboratory testing and is advantageous in detecting pathogens without a priori knowledge.

Indexed as

MetagenomeMetagenomicsMicrobiotaAdolescentChildChild, PreschoolCluster AnalysisDiarrheaDrug Resistance, MicrobialFecesHigh-Throughput Nucleotide SequencingHumansInfantInfant, NewbornReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, Ribosomal, 16S

Identifiers

PMID26637379
PMCPMC4733167

What OpenQuestion holds

Textmetadata
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.