Open AccessClinical Metagenomic Sequencing for Species Identification and Antimicrobial Resistance Prediction in Orthopedic Device Infection
Author(s) -
Teresa L Street,
Nicholas Sanderson,
Camille Kolenda,
James Kavanagh,
Hayleah Pickford,
Sarah Hoosdally,
Jack Cregan,
Carol Taunt,
Emma Jones,
Sarah Oakley,
Bridget L. Atkins,
Maria Dudareva,
Martin McNally,
Justin O’Grady,
Derrick W. Crook,
David W Eyre
Publication year - 2022
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.02156-21
Subject(s) - metagenomics , biology , identification (biology) , antimicrobial , clinical microbiology , drug resistance , antibiotic resistance , microbiology and biotechnology , computational biology , genetics , antibiotics , ecology , gene
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.