Evidence map›Paper›PMID 35354286›Full record

ArticleJournal of clinical microbiology2022

Clinical Metagenomic Sequencing for Species Identification and Antimicrobial Resistance Prediction in Orthopedic Device Infection.

Teresa L Street, Nicholas D Sanderson, Camille Kolenda, James Kavanagh, Hayleah Pickford, Sarah Hoosdally, Jack Cregan, Carol Taunt, Emma Jones, Sarah Oakley and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.4field-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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  7. Review
  8. Article
  9. Routine Metagenomics Service for ICU Patients with Respiratory Infection.American journal of respiratory and critical care medicine · 2024
    Article
  10. Article
  11. Article
  12. Rapid Diagnostics of Joint Infections Using IS-Pro.Journal of clinical microbiology · 2023
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Application of nanopore adaptive sequencing in pathogen detection of a patient withFrontiers in cellular and infection microbiology · 2023
    Article
  18. 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

16 authors at 4 institutions in 2 countries.

Teresa L Street *Nuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.ORCID 0000-0001-8491-240X
Nicholas D Sanderson *Nuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
Camille KolendaDepartment of Bacteriology, Lyon University Hospital, Lyon, France.
James KavanaghNuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
Hayleah PickfordNuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
Sarah HoosdallyNuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
Jack CreganNuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
Carol TauntMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Emma JonesMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Sarah OakleyMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Bridget L AtkinsMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Maria DudarevaMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.ORCID 0000-0002-3139-7237
Martin A McNallyBone Infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Justin O'GradyQuadram Institute Bioscience, Norwich, United Kingdom.
Derrick W CrookNuffield Department of Medicine, University of Oxfordgrid.4991.5, John Radcliffe Hospital, Oxford, United Kingdom.
David W EyreNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom.
John Radcliffe Hospital · GBNuffield Orthopaedic Centre · GBHospices Civils de Lyon · FRQuadram Institute · GB

Funding

NIHR | NIHR Oxford Biomedical Research Centre (OxBRC) BRC-1215-20008Wellcome Trust 200205/Z/15/Z
6 · The paper itself

Abstract

Diagnosis of orthopedic device-related infection is challenging, and causative pathogens may be difficult to culture. Metagenomic sequencing can diagnose infections without culture, but attempts to detect antimicrobial resistance (AMR) determinants using metagenomic data have been less successful. Human DNA depletion may maximize the amount of microbial DNA sequence data available for analysis. Human DNA depletion by saponin was tested in 115 sonication fluid samples generated following revision arthroplasty surgery, comprising 67 where pathogens were detected by culture and 48 culture-negative samples. Metagenomic sequencing was performed on the Oxford Nanopore Technologies GridION platform. Filtering thresholds for detection of true species versus contamination or taxonomic misclassification were determined. Mobile and chromosomal genetic AMR determinants were identified in Staphylococcus aureus-positive samples. Of 114 samples generating sequence data, species-level positive percent agreement between metagenomic sequencing and culture was 50/65 (77%; 95% confidence interval [CI], 65 to 86%) and negative percent agreement was 103/114 (90%; 95% CI, 83 to 95%). Saponin treatment reduced the proportion of human bases sequenced in comparison to 5-μm filtration from a median (interquartile range [IQR]) of 98.1% (87.0% to 99.9%) to 11.9% (0.4% to 67.0%), improving reference genome coverage at a 10-fold depth from 18.7% (0.30% to 85.7%) to 84.3% (12.9% to 93.8%). Metagenomic sequencing predicted 13/15 (87%) resistant and 74/74 (100%) susceptible phenotypes where sufficient data were available for analysis. Metagenomic nanopore sequencing coupled with human DNA depletion has the potential to detect AMR in addition to species detection in orthopedic device-related infection. Further work is required to develop pathogen-agnostic human DNA depletion methods, improving AMR determinant detection and allowing its application to other infection types.

Indexed as

Anti-Bacterial AgentsSaponinsDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingHumansMetagenomeMetagenomicsAnti-Bacterial AgentsSaponinsantimicrobial resistancehost depletionmetagenomicsorthopedic device infection

Identifiers

PMID35354286
PMCPMC9020354
OpenAlexW4221041785

What OpenQuestion holds

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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.