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      Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections

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          Abstract

          Background

          Accurate and rapid identification of microorganisms causing periprosthetic joint infections (PJIs) are necessary for choosing an appropriate antibiotic therapy. Therefore, molecular techniques are suggested for diagnosis in suspected PJIs. The Broad-range PCR and High-Resolution Melt Analysis (HRMA) were evaluated for the identification of causative organisms of PJIs in this study.

          Results

          For 47 of 63 specimens, both the culture and broad-range PCR were positive. The culture was found to be able of organism’s detection in 74.6% (47/63) of patients. Of 47 positive cultures, 11 (23.4%) were polymicrobial and 36 (76.59%) were monomicrobial cultures, in which 34 (91.89%) cases were detected by HRM assay. The sensitivity, specificity of HRMA vs monomicrobial culture were 91.89, 93.75%, respectively. The sensitivity, specificity of total HRMA (mono + poly) vs culture were 82.92, 93.75%.

          Conclusions

          HRM assay coupled with broad-range PCR are effective screening, rapid, and relatively cost-effective methods for discrimination of PJIs especially in aiding culture method. Using computer programs such as the Matlab-2018b program for HRM data analysis is also valuable and helpful in diagnosis.

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          Most cited references48

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          The 2018 Definition of Periprosthetic Hip and Knee Infection: An Evidence-Based and Validated Criteria

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            Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection

            Nearly all infectious agents contain DNA or RNA genomes, making sequencing an attractive approach for pathogen detection. The cost of high-throughput or next-generation sequencing has been reduced by several orders of magnitude since its advent in 2004, and it has emerged as an enabling technological platform for the detection and taxonomic characterization of microorganisms in clinical samples from patients. This review focuses on the application of untargeted metagenomic next-generation sequencing to the clinical diagnosis of infectious diseases, particularly in areas in which conventional diagnostic approaches have limitations. The review covers ( a) next-generation sequencing technologies and common platforms, ( b) next-generation sequencing assay workflows in the clinical microbiology laboratory, ( c) bioinformatics analysis of metagenomic next-generation sequencing data, ( d) validation and use of metagenomic next-generation sequencing for diagnosing infectious diseases, and ( e) significant case reports and studies in this area. Next-generation sequencing is a new technology that has the promise to enhance our ability to diagnose, interrogate, and track infectious diseases.
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              Prosthetic joint infection.

              Prosthetic joint infection (PJI) is a tremendous burden for individual patients as well as the global health care industry. While a small minority of joint arthroplasties will become infected, appropriate recognition and management are critical to preserve or restore adequate function and prevent excess morbidity. In this review, we describe the reported risk factors for and clinical manifestations of PJI. We discuss the pathogenesis of PJI and the numerous microorganisms that can cause this devastating infection. The recently proposed consensus definitions of PJI and approaches to accurate diagnosis are reviewed in detail. An overview of the treatment and prevention of this challenging condition is provided.
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                Author and article information

                Contributors
                Bourboursamaneh@gmail.com
                jabalamf@tums.ac.ir
                Journal
                BMC Microbiol
                BMC Microbiol
                BMC Microbiology
                BioMed Central (London )
                1471-2180
                13 April 2021
                13 April 2021
                2021
                : 21
                : 112
                Affiliations
                [1 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Department of Microbiology, School of Medicine, , Tehran University of Medical Sciences, ; Tehran, Iran
                [2 ]GRID grid.411746.1, ISNI 0000 0004 4911 7066, Department of Orthopedic Surgery, Shafa Yahyaiyan Hospital, , Iran University of Medical Sciences, ; Tehran, Iran
                [3 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Department of Orthopedic Surgery, Imam Khomaini Hospital, , Tehran University of Medical Sciences, knee and hip surgeon, ; Tehran, Iran
                [4 ]GRID grid.46072.37, ISNI 0000 0004 0612 7950, School of Electrical and Computer engineering, college of engineering, , University of Tehran, ; Tehran, Iran
                Article
                2164
                10.1186/s12866-021-02164-8
                8045251
                33849440
                60ae5fdf-a1eb-4803-80d3-2aacb0ad1979
                © The Author(s) 2021

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 30 January 2021
                : 22 March 2021
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Microbiology & Virology
                periprosthetic joint infections,pathogens,broad-range pcr,high-resolution melt analysis

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