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Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection

Received: 30 April 2023    Accepted: 15 May 2023    Published: 22 May 2023
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Abstract

Background: With the development of total knee arthroplasty, patients benefit from the occurrence of postoperative complications that affect the efficacy of the procedure. Among them, periprosthetic knee joint infection is a catastrophic complication of total knee arthroplasty, which is more difficult to diagnose and treat in the clinic and has low patient satisfaction. The ability to clearly diagnose and identify the pathogen at an early stage is an important guide to treatment and is the key to successful treatment. Objective: Traditional detection techniques have the disadvantages of low detection rate, complicated operation and time consuming in the detection of pathogens in periprosthetic knee joint infection, which are difficult to meet the needs of disease detection. Metagenomic next-generation sequencing technology is used to extract the genetic material of pathogens in samples and combine with high-throughput sequencing technology and bioinformatics analysis for detection, which has the advantages of efficient, accurate and sensitive detection of pathogens. Conclusion: Metagenomic next-generation sequencing technology has high application value in the diagnosis and treatment of infectious diseases, and its application in the field of periprosthetic knee joint infection is becoming more and more widespread, and the application of this technology in the diagnosis and treatment of periprosthetic knee joint infection is reviewed.

Published in International Journal of Clinical and Experimental Medical Sciences (Volume 9, Issue 3)
DOI 10.11648/j.ijcems.20230903.13
Page(s) 52-59
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Metagenomic Next-Generation Sequencing, Periprosthetic Knee Joint Infection, Pathogen

References
[1] Kurtz, S. M., et al., International survey of primary and revision total knee replacement. Int Orthop, 2011. 35 (12): p. 1783-9.
[2] Taruc-Uy, R. L. and S. A. Lynch, Diagnosis and treatment of osteoarthritis. Prim Care, 2013. 40 (4): p. 821-36, vii.
[3] Canovas, F. and L. Dagneaux, Quality of life after total knee arthroplasty. Orthop Traumatol Surg Res, 2018. 104 (1s): p. S41-s46.
[4] Pulido, L., et al., Periprosthetic joint infection: the incidence, timing, and predisposing factors. Clin Orthop Relat Res, 2008. 466 (7): p. 1710-5.
[5] Cram, P., et al., Total knee arthroplasty volume, utilization, and outcomes among Medicare beneficiaries, 1991-2010. Jama, 2012. 308 (12): p. 1227-36.
[6] Cabanillas Stanchi, K. M., et al., Comparison of procalcitonin and C-reactive protein as early diagnostic marker for the identification of transplant-related adverse events after allogeneic hematopoietic stem cell transplantation in pediatric patients. J Cancer Res Clin Oncol, 2019. 145 (11): p. 2779-2791.
[7] Di Benedetto, P., et al., Acute periprosthetic knee infection: is there still a role for DAIR? Acta Biomed, 2017. 88 (2s): p. 84-91.
[8] Mortazavi, S. M., et al., Failure following revision total knee arthroplasty: infection is the major cause. Int Orthop, 2011. 35 (8): p. 1157-64.
[9] Kapadia, B. H., et al., The economic impact of periprosthetic infections following total knee arthroplasty at a specialized tertiary-care center. J Arthroplasty, 2014. 29 (5): p. 929-32.
[10] Berend, K. R., et al., Two-stage treatment of hip periprosthetic joint infection is associated with a high rate of infection control but high mortality. Clin Orthop Relat Res, 2013. 471 (2): p. 510-8.
[11] Gehrke, T., P. Alijanipour, and J. Parvizi, The management of an infected total knee arthroplasty. Bone Joint J, 2015. 97-b (10 Suppl A): p. 20-9.
[12] Kapadia, B. H., et al., Periprosthetic joint infection. Lancet, 2016. 387 (10016): p. 386-394.
[13] Melendez, D. P., et al., Evaluation of a Genus- and Group-Specific Rapid PCR Assay Panel on Synovial Fluid for Diagnosis of Prosthetic Knee Infection. J Clin Microbiol, 2016. 54 (1): p. 120-6.
[14] Ahmed, S. S. and F. S. Haddad, Prosthetic joint infection. Bone Joint Res, 2019. 8 (11): p. 570-572.
[15] Gu, W., S. Miller, and C. Y. Chiu, Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection. Annu Rev Pathol, 2019. 14: p. 319-338.
[16] Sardi, S. I., et al., Coinfections of Zika and Chikungunya Viruses in Bahia, Brazil, Identified by Metagenomic Next-Generation Sequencing. J Clin Microbiol, 2016. 54 (9): p. 2348-53.
[17] Lee, Y. S., et al., Synovial Fluid Biomarkers for the Diagnosis of Periprosthetic Joint Infection: A Systematic Review and Meta-Analysis. J Bone Joint Surg Am, 2017. 99 (24): p. 2077-2084.
[18] Chisari, E. and J. Parvizi, Accuracy of blood-tests and synovial fluid-tests in the diagnosis of periprosthetic joint infections. Expert Rev Anti Infect Ther, 2020. 18 (11): p. 1135-1142.
[19] Rhoads, D. D., et al., Comparison of culture and molecular identification of bacteria in chronic wounds. Int J Mol Sci, 2012. 13 (3): p. 2535-2550.
[20] Qu, X., et al., Preoperative aspiration culture for preoperative diagnosis of infection in total hip or knee arthroplasty. J Clin Microbiol, 2013. 51 (11): p. 3830-4.
[21] Behjati, S. and P. S. Tarpey, What is next generation sequencing? Arch Dis Child Educ Pract Ed, 2013. 98 (6): p. 236-8.
[22] Riley, L. W. and R. E. Blanton, Advances in Molecular Epidemiology of Infectious Diseases: Definitions, Approaches, and Scope of the Field. Microbiol Spectr, 2018. 6 (6).
[23] Buehler, S. S., et al., Effectiveness of Practices To Increase Timeliness of Providing Targeted Therapy for Inpatients with Bloodstream Infections: a Laboratory Medicine Best Practices Systematic Review and Meta-analysis. Clin Microbiol Rev, 2016. 29 (1): p. 59-103.
[24] Chiu, C. Y. and S. A. Miller, Clinical metagenomics. Nat Rev Genet, 2019. 20 (6): p. 341-355.
[25] Paul, M., et al., European Society of Clinical Microbiology and Infectious Diseases (ESCMID) guidelines for the treatment of infections caused by multidrug-resistant Gram-negative bacilli (endorsed by European society of intensive care medicine). Clin Microbiol Infect, 2022. 28 (4): p. 521-547.
[26] Yao, M., et al., Detection of Listeria monocytogenes in CSF from Three Patients with Meningoencephalitis by Next-Generation Sequencing. J Clin Neurol, 2016. 12 (4): p. 446-451.
[27] Wang, D., et al., Diagnosis of Acute Q Fever in a Patient by Using Metagenomic Next-Generation Sequencing: A Case Report. Infect Drug Resist, 2023. 16: p. 1923-1930.
[28] Wang, C., et al., Application of metagenomic next-generation sequencing in the diagnosis of pulmonary invasive fungal disease. Front Cell Infect Microbiol, 2022. 12: p. 949505.
[29] Chen, J., et al., Metagenomic next-generation sequencing identified Histoplasma capsulatum in the lung and epiglottis of a Chinese patient: A case report. Int J Infect Dis, 2020. 101: p. 33-37.
[30] Kubik, S., et al., Recommendations for accurate genotyping of SARS-CoV-2 using amplicon-based sequencing of clinical samples. Clin Microbiol Infect, 2021. 27 (7): p. 1036. e1-1036. e8.
[31] Li, T., et al., Metagenomic Next-Generation Sequencing of the 2014 Ebola Virus Disease Outbreak in the Democratic Republic of the Congo. J Clin Microbiol, 2019. 57 (9).
[32] Qu, J., H. Xu, and X. Lv, Disseminated alveolar echinococcosis in a patient diagnosed by metagenomic next-generation sequencing: A case report. Front Public Health, 2022. 10: p. 972619.
[33] Kong, M., et al., Application of metagenomic next-generation sequencing in cutaneous tuberculosis. Front Cell Infect Microbiol, 2022. 12: p. 942073.
[34] Wang, S., et al., The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid. Front Microbiol, 2019. 10: p. 1993.
[35] Wilson, M. R., et al., Actionable diagnosis of neuroleptospirosis by next-generation sequencing. N Engl J Med, 2014. 370 (25): p. 2408-17.
[36] Tarabichi, M., et al., Diagnosis of Periprosthetic Joint Infection: The Potential of Next-Generation Sequencing. J Bone Joint Surg Am, 2018. 100 (2): p. 147-154.
[37] Tarabichi, M., et al., Can next generation sequencing play a role in detecting pathogens in synovial fluid? Bone Joint J, 2018. 100-b (2): p. 127-133.
[38] Mei, J., et al., Diagnostic Role of mNGS in Polymicrobial Periprosthetic Joint Infection. J Clin Med, 2023. 12 (5).
[39] Indelli, P. F., et al., Next generation sequencing for pathogen detection in periprosthetic joint infections. EFORT Open Rev, 2021. 6 (4): p. 236-244.
[40] Tarabichi, M., et al., Diagnosis of Streptococcus canis periprosthetic joint infection: the utility of next-generation sequencing. Arthroplast Today, 2018. 4 (1): p. 20-23.
[41] Cai, Y., et al., Metagenomic next generation sequencing improves diagnosis of prosthetic joint infection by detecting the presence of bacteria in periprosthetic tissues. Int J Infect Dis, 2020. 96: p. 573-578.
[42] Fang, X., et al., Detecting the presence of bacteria in low-volume preoperative aspirated synovial fluid by metagenomic next-generation sequencing. Int J Infect Dis, 2020. 99: p. 108-116.
[43] Yu, Y., et al., Diagnostic Performance of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection Using Tissue Specimens. Infect Drug Resist, 2023. 16: p. 1193-1201.
[44] Ruppé, E., et al., Clinical metagenomics of bone and joint infections: a proof of concept study. Sci Rep, 2017. 7 (1): p. 7718.
[45] Zhang, C., et al., Metagenomic next-generation sequencing assists the diagnosis treatment of fungal osteoarticular infections. Front Cell Infect Microbiol, 2022. 12: p. 1072539.
[46] Cai, Y., et al., Optimization and standardization of mNGS-based procedures for the diagnosis of Mycoplasma periprosthetic joint infection: A novel diagnostic strategy for rare bacterial periprosthetic joint infection. Front Cell Infect Microbiol, 2023. 13: p. 1089919.
[47] He, R., et al., Better choice of the type of specimen used for untargeted metagenomic sequencing in the diagnosis of periprosthetic joint infections. Bone Joint J, 2021. 103-b (5): p. 923-930.
[48] Perlejewski, K., et al., Metagenomic Analysis of Cerebrospinal Fluid from Patients with Multiple Sclerosis. Adv Exp Med Biol, 2016. 935: p. 89-98.
[49] Zhang, Z., et al., Library Preparation Based on Transposase Assisted RNA/DNA Hybrid Co-Tagmentation for Next-Generation Sequencing of Human Noroviruses. Viruses, 2021. 13 (1).
[50] Sun, L., et al., Clinical Application and Influencing Factor Analysis of Metagenomic Next-Generation Sequencing (mNGS) in ICU Patients With Sepsis. Front Cell Infect Microbiol, 2022. 12: p. 905132.
[51] Comin, M., et al., Comparison of microbiome samples: methods and computational challenges. Brief Bioinform, 2021. 22 (1): p. 88-95.
[52] Li, B., X. Li, and T. Yan, A Quantitative Metagenomic Sequencing Approach for High-Throughput Gene Quantification and Demonstration with Antibiotic Resistance Genes. Appl Environ Microbiol, 2021. 87 (16): p. e0087121.
[53] Miller, S., et al., Point-Counterpoint: Should We Be Performing Metagenomic Next-Generation Sequencing for Infectious Disease Diagnosis in the Clinical Laboratory? J Clin Microbiol, 2020. 58 (3).
[54] Mayday, M. Y., et al., Miniaturization and optimization of 384-well compatible RNA sequencing library preparation. PLoS One, 2019. 14 (1): p. e0206194.
Cite This Article
  • APA Style

    Xiqi Zhang, Fengsheng Li. (2023). Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection. International Journal of Clinical and Experimental Medical Sciences, 9(3), 52-59. https://doi.org/10.11648/j.ijcems.20230903.13

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    ACS Style

    Xiqi Zhang; Fengsheng Li. Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection. Int. J. Clin. Exp. Med. Sci. 2023, 9(3), 52-59. doi: 10.11648/j.ijcems.20230903.13

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    AMA Style

    Xiqi Zhang, Fengsheng Li. Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection. Int J Clin Exp Med Sci. 2023;9(3):52-59. doi: 10.11648/j.ijcems.20230903.13

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  • @article{10.11648/j.ijcems.20230903.13,
      author = {Xiqi Zhang and Fengsheng Li},
      title = {Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection},
      journal = {International Journal of Clinical and Experimental Medical Sciences},
      volume = {9},
      number = {3},
      pages = {52-59},
      doi = {10.11648/j.ijcems.20230903.13},
      url = {https://doi.org/10.11648/j.ijcems.20230903.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcems.20230903.13},
      abstract = {Background: With the development of total knee arthroplasty, patients benefit from the occurrence of postoperative complications that affect the efficacy of the procedure. Among them, periprosthetic knee joint infection is a catastrophic complication of total knee arthroplasty, which is more difficult to diagnose and treat in the clinic and has low patient satisfaction. The ability to clearly diagnose and identify the pathogen at an early stage is an important guide to treatment and is the key to successful treatment. Objective: Traditional detection techniques have the disadvantages of low detection rate, complicated operation and time consuming in the detection of pathogens in periprosthetic knee joint infection, which are difficult to meet the needs of disease detection. Metagenomic next-generation sequencing technology is used to extract the genetic material of pathogens in samples and combine with high-throughput sequencing technology and bioinformatics analysis for detection, which has the advantages of efficient, accurate and sensitive detection of pathogens. Conclusion: Metagenomic next-generation sequencing technology has high application value in the diagnosis and treatment of infectious diseases, and its application in the field of periprosthetic knee joint infection is becoming more and more widespread, and the application of this technology in the diagnosis and treatment of periprosthetic knee joint infection is reviewed.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Progress in Application of Metagenomic Next-Generation Sequencing in Diagnosis and Treatment of Periprosthetic Knee Joint Infection
    AU  - Xiqi Zhang
    AU  - Fengsheng Li
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    N1  - https://doi.org/10.11648/j.ijcems.20230903.13
    DO  - 10.11648/j.ijcems.20230903.13
    T2  - International Journal of Clinical and Experimental Medical Sciences
    JF  - International Journal of Clinical and Experimental Medical Sciences
    JO  - International Journal of Clinical and Experimental Medical Sciences
    SP  - 52
    EP  - 59
    PB  - Science Publishing Group
    SN  - 2469-8032
    UR  - https://doi.org/10.11648/j.ijcems.20230903.13
    AB  - Background: With the development of total knee arthroplasty, patients benefit from the occurrence of postoperative complications that affect the efficacy of the procedure. Among them, periprosthetic knee joint infection is a catastrophic complication of total knee arthroplasty, which is more difficult to diagnose and treat in the clinic and has low patient satisfaction. The ability to clearly diagnose and identify the pathogen at an early stage is an important guide to treatment and is the key to successful treatment. Objective: Traditional detection techniques have the disadvantages of low detection rate, complicated operation and time consuming in the detection of pathogens in periprosthetic knee joint infection, which are difficult to meet the needs of disease detection. Metagenomic next-generation sequencing technology is used to extract the genetic material of pathogens in samples and combine with high-throughput sequencing technology and bioinformatics analysis for detection, which has the advantages of efficient, accurate and sensitive detection of pathogens. Conclusion: Metagenomic next-generation sequencing technology has high application value in the diagnosis and treatment of infectious diseases, and its application in the field of periprosthetic knee joint infection is becoming more and more widespread, and the application of this technology in the diagnosis and treatment of periprosthetic knee joint infection is reviewed.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Department of Orthopedics, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China

  • Department of Orthopedics, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China

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