Evidence map›Paper›PMID 38488359›Full record

ArticlemBio2024

Comparison of metagenomic and traditional methods for diagnosis of

C Royer, N V Patin, K J Jesser, A Peña-Gonzalez, J K Hatt, G Trueba, K Levy, K T Konstantinidis

Open access · goldAbstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. High-throughput single-cell isolation ofMicrobiology spectrum · 2026
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  3. Article
  4. Article
  5. Genomic profiling of enterotoxigenicMicrobial genomics · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. pH selects for distinct NISME communications · 2024
    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

8 authors at 4 institutions in 3 countries.

C Royer *School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
N V Patin *School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
K J JesserDepartment of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA.
A Peña-GonzalezMax Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotà, Colombia.
J K HattSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
G TruebaInstitute of Microbiology, Universidad San Francisco de Quito, Quito, Ecuador.ORCID 0000-0003-2617-9021
K LevyDepartment of Environmental and Occupational Health, University of Washington, Seattle, Washington, USA.
K T KonstantinidisSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-0954-4755
Georgia Institute of Technology · USUniversity of Washington · USUniversidad de Los Andes · COUniversidad San Francisco de Quito · EC

Funding

Environmetal Pathology/Toxicology Training ProgramT32ES007032 · NIEHS · UNIVERSITY OF WASHINGTON · PI FAUSTMAN, ELAINE M, ROSENFELD, MICHAEL E · 1985 to 2023
$10.7M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
Gut microbiome, enteric infections and child growth across a rurual urban gradientR01AI137679 · NIAID · UNIVERSITY OF WASHINGTON · PI EISENBERG, JOSEPH N. S., LEVY, KAREN · 2018 to 2023
$5.3M
Impacts of Human Movement on Regional Strain Distribution of Diarrheagenic E.coliK01AI103544 · NIAID · EMORY UNIVERSITY · PI LEVY, KAREN · 2013 to 2017
$655k
NIAID NIH HHS K01 AI103544NIAID NIH HHS R01 AI137679NIEHS NIH HHS T32 ES007032NIEHS NIH HHS T32 ES012870
6 · The paper itself

Abstract

Diarrheagenic IMPORTANCE: Diagnosing enteric infections based on traditional methods involving isolation and PCR can be erroneous due to isolation and other biases, e.g., the most abundant pathogen may not be recovered on isolation media. By employing shotgun metagenomics together with traditional methods on the same stool samples, we show that mixed infections caused by multiple pathogens are much more frequent than traditional methods indicate in the case of acute diarrhea. Further, in at least 8.5% of the total samples examined, the metagenomic approach reliably identified a different pathogen than the traditional approach. Therefore, our results provide a methodology to complement existing methods for enteric infection diagnostics with cutting-edge, culture-independent metagenomic techniques, and highlight the strengths and limitations of each approach.

Indexed as

Escherichia coliEscherichia coli InfectionsChildDiarrheaHumansMetagenomeVirulencediagnosticsdiarrheaE. colimetagenomics

Identifiers

PMID38488359
PMCPMC11005377
OpenAlexW4392895531

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.