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Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system

BACKGROUND: Bloodstream infection (BSI) is a life-threatening condition with high morbidity and mortality rates worldwide. Early diagnosis of BSI is critical to avoid the unnecessary application of antimicrobial agents and for proper treatment. However, the current standard methods based on blood cu...

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Autores principales: Zhang, Jinghao, Yang, Feng, Sun, Zhaoyang, Fang, Yi, Zhu, Haowei, Zhang, Dijun, Zeng, Xianping, Liu, Wenjian, Liu, Tao, Liu, Yixin, Chi, Wenjing, Wang, Su, Ding, Li, Wu, Yong, Zhang, Yanmei, Zhao, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644494/
https://www.ncbi.nlm.nih.gov/pubmed/36348318
http://dx.doi.org/10.1186/s12879-022-07793-6
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author Zhang, Jinghao
Yang, Feng
Sun, Zhaoyang
Fang, Yi
Zhu, Haowei
Zhang, Dijun
Zeng, Xianping
Liu, Wenjian
Liu, Tao
Liu, Yixin
Chi, Wenjing
Wang, Su
Ding, Li
Wu, Yong
Zhang, Yanmei
Zhao, Hu
author_facet Zhang, Jinghao
Yang, Feng
Sun, Zhaoyang
Fang, Yi
Zhu, Haowei
Zhang, Dijun
Zeng, Xianping
Liu, Wenjian
Liu, Tao
Liu, Yixin
Chi, Wenjing
Wang, Su
Ding, Li
Wu, Yong
Zhang, Yanmei
Zhao, Hu
author_sort Zhang, Jinghao
collection PubMed
description BACKGROUND: Bloodstream infection (BSI) is a life-threatening condition with high morbidity and mortality rates worldwide. Early diagnosis of BSI is critical to avoid the unnecessary application of antimicrobial agents and for proper treatment. However, the current standard methods based on blood culture are time-consuming, thus failing to provide a timely etiological diagnosis of BSI, and common PCR-based detection might be inhibited by matrix components. METHODS: The current study explored an integrated pre-analytical treatment protocol for whole blood samples, wherein pathogens are enriched and purified by incubation and concentration, and inhibitors are inactivated and removed. Further, this study developed and evaluated a novel high-throughput multiplex genetic detection system (HMGS) to detect 24 of the most clinically prevalent BSI pathogens in blood culture samples and pre-treated whole blood samples. The specificity and sensitivity were evaluated using related reference strains and quantified bacterial/fungal suspensions. The clinical utility of BSI-HMGS combined with the pre-analytical treatment protocol was verified using blood cultures and whole blood samples. RESULTS: The combined pre-treatment protocol and BSI-HMGS was highly specific for target pathogens and possessed a low detection limit for clinical whole blood samples. The pre-treatment protocol could deplete the PCR inhibitors effectively. For blood culture samples, the current method showed 100.0% negative percent agreements and > 87.5% positive percent agreements compared to the reference results based on blood culture findings. For whole blood samples, the current method showed 100.0% negative percent agreements and > 80.0% positive percent agreements compared to the reference results for most pathogens. The turnaround time was ≤ 8 h, and all the procedures could be conducted in a general clinical laboratory. CONCLUSION: The BSI-HMGS combined with the pre-treatment protocol was a practical and promising method for early and precise detection of BSIs, especially for areas without access to advanced medical facilities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07793-6.
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spelling pubmed-96444942022-11-15 Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system Zhang, Jinghao Yang, Feng Sun, Zhaoyang Fang, Yi Zhu, Haowei Zhang, Dijun Zeng, Xianping Liu, Wenjian Liu, Tao Liu, Yixin Chi, Wenjing Wang, Su Ding, Li Wu, Yong Zhang, Yanmei Zhao, Hu BMC Infect Dis Research BACKGROUND: Bloodstream infection (BSI) is a life-threatening condition with high morbidity and mortality rates worldwide. Early diagnosis of BSI is critical to avoid the unnecessary application of antimicrobial agents and for proper treatment. However, the current standard methods based on blood culture are time-consuming, thus failing to provide a timely etiological diagnosis of BSI, and common PCR-based detection might be inhibited by matrix components. METHODS: The current study explored an integrated pre-analytical treatment protocol for whole blood samples, wherein pathogens are enriched and purified by incubation and concentration, and inhibitors are inactivated and removed. Further, this study developed and evaluated a novel high-throughput multiplex genetic detection system (HMGS) to detect 24 of the most clinically prevalent BSI pathogens in blood culture samples and pre-treated whole blood samples. The specificity and sensitivity were evaluated using related reference strains and quantified bacterial/fungal suspensions. The clinical utility of BSI-HMGS combined with the pre-analytical treatment protocol was verified using blood cultures and whole blood samples. RESULTS: The combined pre-treatment protocol and BSI-HMGS was highly specific for target pathogens and possessed a low detection limit for clinical whole blood samples. The pre-treatment protocol could deplete the PCR inhibitors effectively. For blood culture samples, the current method showed 100.0% negative percent agreements and > 87.5% positive percent agreements compared to the reference results based on blood culture findings. For whole blood samples, the current method showed 100.0% negative percent agreements and > 80.0% positive percent agreements compared to the reference results for most pathogens. The turnaround time was ≤ 8 h, and all the procedures could be conducted in a general clinical laboratory. CONCLUSION: The BSI-HMGS combined with the pre-treatment protocol was a practical and promising method for early and precise detection of BSIs, especially for areas without access to advanced medical facilities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07793-6. BioMed Central 2022-11-08 /pmc/articles/PMC9644494/ /pubmed/36348318 http://dx.doi.org/10.1186/s12879-022-07793-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Jinghao
Yang, Feng
Sun, Zhaoyang
Fang, Yi
Zhu, Haowei
Zhang, Dijun
Zeng, Xianping
Liu, Wenjian
Liu, Tao
Liu, Yixin
Chi, Wenjing
Wang, Su
Ding, Li
Wu, Yong
Zhang, Yanmei
Zhao, Hu
Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title_full Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title_fullStr Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title_full_unstemmed Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title_short Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
title_sort rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644494/
https://www.ncbi.nlm.nih.gov/pubmed/36348318
http://dx.doi.org/10.1186/s12879-022-07793-6
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