Clinical Metagenomic Sequencing for Species Identification and Antimicrobial Resistance Prediction in Orthopedic Device Infection-Reference-Cited by-同舟云学术

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

Published:2022-04-20 Issue:4 Volume:60 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Street Teresa L.¹²^ORCID,Sanderson Nicholas D.¹²,Kolenda Camille³,Kavanagh James¹,Pickford Hayleah¹,Hoosdally Sarah¹²,Cregan Jack¹,Taunt Carol⁴,Jones Emma⁴,Oakley Sarah⁴,Atkins Bridget L.⁴⁵,Dudareva Maria⁴⁵^ORCID,McNally Martin A.⁵,O’Grady Justin⁶,Crook Derrick W.¹²,Eyre David W.²⁷

Affiliation:

1. Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom

2. NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom

3. Department of Bacteriology, Lyon University Hospital, Lyon, France

4. Microbiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom

5. Bone Infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom

6. Quadram Institute Bioscience, Norwich, United Kingdom

7. Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom

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.

Funder

NIHR | NIHR Oxford Biomedical Research Centre

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/jcm.02156-21

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