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Predictive Antibiotic Susceptibility Testing by Next-Generation Sequencing for Periprosthetic Joint Infections: Potential and Limitations

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Journal Biomedicines
Date 2021 Aug 27
PMID 34440114
Citations 11
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Abstract

Joint replacement surgeries are one of the most frequent medical interventions globally. Infections of prosthetic joints are a major health challenge and typically require prolonged or even indefinite antibiotic treatment. As multidrug-resistant pathogens continue to rise globally, novel diagnostics are critical to ensure appropriate treatment and help with prosthetic joint infections (PJI) management. To this end, recent studies have shown the potential of molecular methods such as next-generation sequencing to complement established phenotypic, culture-based methods. Together with advanced bioinformatics approaches, next-generation sequencing can provide comprehensive information on pathogen identity as well as antimicrobial susceptibility, potentially enabling rapid diagnosis and targeted therapy of PJIs. In this review, we summarize current developments in next generation sequencing based predictive antibiotic susceptibility testing and discuss potential and limitations for common PJI pathogens.

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References
1.
Pang Z, Raudonis R, Glick B, Lin T, Cheng Z . Antibiotic resistance in Pseudomonas aeruginosa: mechanisms and alternative therapeutic strategies. Biotechnol Adv. 2018; 37(1):177-192. DOI: 10.1016/j.biotechadv.2018.11.013. View

2.
Bortolaia V, Kaas R, Ruppe E, Roberts M, Schwarz S, Cattoir V . ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother. 2020; 75(12):3491-3500. PMC: 7662176. DOI: 10.1093/jac/dkaa345. View

3.
Kurtz S, Lau E, Watson H, Schmier J, Parvizi J . Economic burden of periprosthetic joint infection in the United States. J Arthroplasty. 2012; 27(8 Suppl):61-5.e1. DOI: 10.1016/j.arth.2012.02.022. View

4.
Nguyen M, Brettin T, Long S, Musser J, Olsen R, Olson R . Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae. Sci Rep. 2018; 8(1):421. PMC: 5765115. DOI: 10.1038/s41598-017-18972-w. View

5.
Qin D . Next-generation sequencing and its clinical application. Cancer Biol Med. 2019; 16(1):4-10. PMC: 6528456. DOI: 10.20892/j.issn.2095-3941.2018.0055. View