Rapid Diagnostics of Orthopaedic-Implant-Associated Infections Using Nanopore Shotgun Metagenomic Sequencing on Tissue Biopsies.
J Christopher NooneKarin HelmersenTruls Michael LeegaardInge SkråmmHege Vangstein AamotPublished in: Microorganisms (2021)
Conventional culture-based diagnostics of orthopaedic-implant-associated infections (OIAIs) are arduous. Hence, the aim of this study was to evaluate a culture-independent, rapid nanopore-based diagnostic protocol with regard to (a) pathogen identification, (b) time to pathogen identification, and (c) identification of antimicrobial resistance (AMR). This prospective proof-of-concept study included soft tissue biopsies from 32 patients with OIAIs undergoing first revision surgery at Akershus University Hospital, Norway. The biopsies were divided into two segments. Nanopore shotgun metagenomic sequencing and pathogen and antimicrobial resistance gene identification using the EPI2ME analysis platform (Oxford Nanopore Technologies) were performed on one segment. Conventional culture-based diagnostics were performed on the other. Microbial identification matched in 23/32 OIAI patients (72%). Sequencing detected additional microbes in 9/32 patients. Pathogens detected by culturing were identified by sequencing within a median of 1 h of sequencing start [range 1-18 h]. Phenotypic AMR was explained by the detection of resistance genes in 11/23 patients (48%). Diagnostics of OIAIs using shotgun metagenomics sequencing are possible within 24 h from biopsy using nanopore technology. Sequencing outperformed culturing with respect to speed and pathogen detection where pathogens were at sufficient concentration, whereas culture-based methods had an advantage at lower pathogen concentrations. Sequencing-based AMR detection may not yet be a suitable replacement for culture-based antibiotic susceptibility testing.
Keyphrases
- antimicrobial resistance
- single cell
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- loop mediated isothermal amplification
- single molecule
- soft tissue
- peritoneal dialysis
- prognostic factors
- randomized controlled trial
- candida albicans
- bioinformatics analysis
- gene expression
- genome wide
- acute coronary syndrome
- minimally invasive
- microbial community
- percutaneous coronary intervention
- coronary artery bypass
- data analysis
- patient reported
- gram negative
- genome wide identification