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Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis

OBJECTIVES: Periprosthetic joint infection (PJI) diagnosis remains challenging, and the identification of the causative microorganism is, by far, the most important aspect. Here, we use multiple PCR-based targeted next-generation sequencing (tNGS) to detect pathogens in PJI. To explore 1. the abilit...

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Autores principales: Huang, Changyu, Huang, Ying, Wang, Ziwen, Lin, Yiming, Li, Yongbin, Chen, Yang, Chen, Xiaoqing, Zhang, Chaofan, Li, Wenbo, Zhang, Wenming, Fang, Xinyu, Huang, Zida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232910/
https://www.ncbi.nlm.nih.gov/pubmed/37275128
http://dx.doi.org/10.3389/fmicb.2023.1181348
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author Huang, Changyu
Huang, Ying
Wang, Ziwen
Lin, Yiming
Li, Yongbin
Chen, Yang
Chen, Xiaoqing
Zhang, Chaofan
Li, Wenbo
Zhang, Wenming
Fang, Xinyu
Huang, Zida
author_facet Huang, Changyu
Huang, Ying
Wang, Ziwen
Lin, Yiming
Li, Yongbin
Chen, Yang
Chen, Xiaoqing
Zhang, Chaofan
Li, Wenbo
Zhang, Wenming
Fang, Xinyu
Huang, Zida
author_sort Huang, Changyu
collection PubMed
description OBJECTIVES: Periprosthetic joint infection (PJI) diagnosis remains challenging, and the identification of the causative microorganism is, by far, the most important aspect. Here, we use multiple PCR-based targeted next-generation sequencing (tNGS) to detect pathogens in PJI. To explore 1. the ability of targeted next-generation sequencing (tNGS) to detect pathogens in PJI; 2. the consistency of tNGS, metagenomic NGS (mNGS), and culture results; and 3. the ability of tNGS to detect drug resistance genes in PJI. METHODS: PJI was diagnosed according to the Musculoskeletal Infection Society (MSIS) criteria. The microorganisms were detected by culture, mNGS and tNGS to compare the diagnostic effectiveness of the three methods for PJI and to compare their consistency in detecting microorganisms. Drug resistance genes were detected using tNGS. The costs and turnaround times of mNGS and tNGS were compared. RESULTS: Forty-three patients with PJI, 21 patients without PJI and 10 negative control cases were included. The culture, tNGS, and mNGS sensitivities for PJI diagnosis were 74.41%, 88.37%, and 93.02%, respectively, with no significant differences. The specificities were 90.48%, 95.24%, and 95.24%, respectively, with no significant differences. tNGS detected drug resistance genes in 37.5% of culture-positive PJIs. tNGS was superior to mNGS for turnaround time (14.5 h vs. 28 h) and cost ($150 vs. $260). CONCLUSIONS: tNGS can effectively identify PJI pathogens and may provide drug resistance information, while tNGS is superior to mNGS regarding cost and turnaround time. A multidisciplinary, multi-technology based algorithm to diagnose PJI is appropriate. HIGHLIGHTS: 1. 298 microorganisms and 86 drug resistance genes were included in the tNGS panel. 2. Diagnostic efficacy of tNGS is not inferior to that of commonly used indicators. 3. tNGS is superior to mNGS in cost and turnaround time.
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spelling pubmed-102329102023-06-02 Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis Huang, Changyu Huang, Ying Wang, Ziwen Lin, Yiming Li, Yongbin Chen, Yang Chen, Xiaoqing Zhang, Chaofan Li, Wenbo Zhang, Wenming Fang, Xinyu Huang, Zida Front Microbiol Microbiology OBJECTIVES: Periprosthetic joint infection (PJI) diagnosis remains challenging, and the identification of the causative microorganism is, by far, the most important aspect. Here, we use multiple PCR-based targeted next-generation sequencing (tNGS) to detect pathogens in PJI. To explore 1. the ability of targeted next-generation sequencing (tNGS) to detect pathogens in PJI; 2. the consistency of tNGS, metagenomic NGS (mNGS), and culture results; and 3. the ability of tNGS to detect drug resistance genes in PJI. METHODS: PJI was diagnosed according to the Musculoskeletal Infection Society (MSIS) criteria. The microorganisms were detected by culture, mNGS and tNGS to compare the diagnostic effectiveness of the three methods for PJI and to compare their consistency in detecting microorganisms. Drug resistance genes were detected using tNGS. The costs and turnaround times of mNGS and tNGS were compared. RESULTS: Forty-three patients with PJI, 21 patients without PJI and 10 negative control cases were included. The culture, tNGS, and mNGS sensitivities for PJI diagnosis were 74.41%, 88.37%, and 93.02%, respectively, with no significant differences. The specificities were 90.48%, 95.24%, and 95.24%, respectively, with no significant differences. tNGS detected drug resistance genes in 37.5% of culture-positive PJIs. tNGS was superior to mNGS for turnaround time (14.5 h vs. 28 h) and cost ($150 vs. $260). CONCLUSIONS: tNGS can effectively identify PJI pathogens and may provide drug resistance information, while tNGS is superior to mNGS regarding cost and turnaround time. A multidisciplinary, multi-technology based algorithm to diagnose PJI is appropriate. HIGHLIGHTS: 1. 298 microorganisms and 86 drug resistance genes were included in the tNGS panel. 2. Diagnostic efficacy of tNGS is not inferior to that of commonly used indicators. 3. tNGS is superior to mNGS in cost and turnaround time. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10232910/ /pubmed/37275128 http://dx.doi.org/10.3389/fmicb.2023.1181348 Text en Copyright © 2023 Huang, Huang, Wang, Lin, Li, Chen, Chen, Zhang, Li, Zhang, Fang and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Huang, Changyu
Huang, Ying
Wang, Ziwen
Lin, Yiming
Li, Yongbin
Chen, Yang
Chen, Xiaoqing
Zhang, Chaofan
Li, Wenbo
Zhang, Wenming
Fang, Xinyu
Huang, Zida
Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title_full Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title_fullStr Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title_full_unstemmed Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title_short Multiplex PCR-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
title_sort multiplex pcr-based next generation sequencing as a novel, targeted and accurate molecular approach for periprosthetic joint infection diagnosis
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232910/
https://www.ncbi.nlm.nih.gov/pubmed/37275128
http://dx.doi.org/10.3389/fmicb.2023.1181348
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