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Next generation sequencing for pathogen detection in periprosthetic joint infections

Periprosthetic joint infections (PJI) represent one of the most catastrophic complications following total joint arthroplasty (TJA). The lack of standardized diagnostic tests and protocols for PJI is a challenge for arthroplasty surgeons. Next generation sequencing (NGS) is an innovative diagnostic...

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Autores principales: Indelli, Pier F., Ghirardelli, Stefano, Violante, Bruno, Amanatullah, Derek F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: British Editorial Society of Bone and Joint Surgery 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142595/
https://www.ncbi.nlm.nih.gov/pubmed/34040801
http://dx.doi.org/10.1302/2058-5241.6.200099
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author Indelli, Pier F.
Ghirardelli, Stefano
Violante, Bruno
Amanatullah, Derek F.
author_facet Indelli, Pier F.
Ghirardelli, Stefano
Violante, Bruno
Amanatullah, Derek F.
author_sort Indelli, Pier F.
collection PubMed
description Periprosthetic joint infections (PJI) represent one of the most catastrophic complications following total joint arthroplasty (TJA). The lack of standardized diagnostic tests and protocols for PJI is a challenge for arthroplasty surgeons. Next generation sequencing (NGS) is an innovative diagnostic tool that can sequence microbial deoxyribonucleic acids (DNA) from a synovial fluid sample: all DNA present in a specimen is sequenced in parallel, generating millions of reads. It has been shown to be extremely useful in a culture-negative PJI setting. Metagenomic NGS (mNGS) allows for universal pathogen detection, regardless of microbe type, in a 24–48-hour timeframe: in its nanopore-base variation, mNGS also allows for antimicrobial resistance characterization. Cell-free DNA (cfDNA) NGS, characterized by lack of the cell lysis step, has a fast run-time (hours) and, together with a high sensitivity and specificity in microorganism isolation, may provide information on the presence of antimicrobial resistance genes. Metagenomics and cfDNA testing have reduced the time needed to detect infecting bacteria and represent very promising technologies for fast PJI diagnosis. NGS technologies are revolutionary methods that could disrupt the diagnostic paradigm of PJI, but a comprehensive collection of clinical evidence is still needed before they become widely used diagnostic tools. Cite this article: EFORT Open Rev 2021;6:236-244. DOI: 10.1302/2058-5241.6.200099
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spelling pubmed-81425952021-05-25 Next generation sequencing for pathogen detection in periprosthetic joint infections Indelli, Pier F. Ghirardelli, Stefano Violante, Bruno Amanatullah, Derek F. EFORT Open Rev General Orthopaedics Periprosthetic joint infections (PJI) represent one of the most catastrophic complications following total joint arthroplasty (TJA). The lack of standardized diagnostic tests and protocols for PJI is a challenge for arthroplasty surgeons. Next generation sequencing (NGS) is an innovative diagnostic tool that can sequence microbial deoxyribonucleic acids (DNA) from a synovial fluid sample: all DNA present in a specimen is sequenced in parallel, generating millions of reads. It has been shown to be extremely useful in a culture-negative PJI setting. Metagenomic NGS (mNGS) allows for universal pathogen detection, regardless of microbe type, in a 24–48-hour timeframe: in its nanopore-base variation, mNGS also allows for antimicrobial resistance characterization. Cell-free DNA (cfDNA) NGS, characterized by lack of the cell lysis step, has a fast run-time (hours) and, together with a high sensitivity and specificity in microorganism isolation, may provide information on the presence of antimicrobial resistance genes. Metagenomics and cfDNA testing have reduced the time needed to detect infecting bacteria and represent very promising technologies for fast PJI diagnosis. NGS technologies are revolutionary methods that could disrupt the diagnostic paradigm of PJI, but a comprehensive collection of clinical evidence is still needed before they become widely used diagnostic tools. Cite this article: EFORT Open Rev 2021;6:236-244. DOI: 10.1302/2058-5241.6.200099 British Editorial Society of Bone and Joint Surgery 2021-04-01 /pmc/articles/PMC8142595/ /pubmed/34040801 http://dx.doi.org/10.1302/2058-5241.6.200099 Text en © 2021 The author(s) https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
spellingShingle General Orthopaedics
Indelli, Pier F.
Ghirardelli, Stefano
Violante, Bruno
Amanatullah, Derek F.
Next generation sequencing for pathogen detection in periprosthetic joint infections
title Next generation sequencing for pathogen detection in periprosthetic joint infections
title_full Next generation sequencing for pathogen detection in periprosthetic joint infections
title_fullStr Next generation sequencing for pathogen detection in periprosthetic joint infections
title_full_unstemmed Next generation sequencing for pathogen detection in periprosthetic joint infections
title_short Next generation sequencing for pathogen detection in periprosthetic joint infections
title_sort next generation sequencing for pathogen detection in periprosthetic joint infections
topic General Orthopaedics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142595/
https://www.ncbi.nlm.nih.gov/pubmed/34040801
http://dx.doi.org/10.1302/2058-5241.6.200099
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