Literature DB >> 33641572

Molecular sequencing technologies in the diagnosis and management of prosthetic joint infections.

Zakareya Gamie1, Dileep Karthikappallil2, Emane Gamie3, Stavros Stamiris4, Eustathios Kenanidis4, Eleftherios Tsiridis4.   

Abstract

INTRODUCTION: Prosthetic joint infections (PJIs) can be challenging to eradicate and have high morbidity and mortality. Current microbiology culture methods can be associated with a high false-negative rate of up to 50%. Early and accurate diagnosis is crucial for effective treatment, and negative results have been linked to a greater rate of reoperation. AREAS COVERED: There has been increasing investigation of the use of next-generation sequencing (NGS) technology such as metagenomic shotgun sequencing to help identify causative organisms and decrease the uncertainty around culture-negative infections. The clinical importance of the organisms detected and their management, however, requires further study. The polymerase chain reaction (PCR) has shown promise, but in recent years multiple studies have reported similar or lower sensitivity for bacteria detection in PJIs when compared to traditional culture. Furthermore, issues such as high cost and complexity of sample preparation and data analysis are to be addressed before it can move further toward routine clinical practice. EXPERT OPINION: Metagenomic NGS has shown results that inspire cautious optimism - both in culture-positive and culture-negative cases of joint infection. Refinement of technique could revolutionize the way PJIs are diagnosed, managed, and drastically improve outcomes from this currently devastating complication.

Entities:  

Keywords:  Biofilm; culture-negative; diagnosis; metagenomics; molecular; next-generation sequencing; pcr; prosthetic joint infection

Mesh:

Year:  2021        PMID: 33641572     DOI: 10.1080/14737159.2021.1894929

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.670


  1 in total

1.  Prospective Comparison Between Shotgun Metagenomics and Sanger Sequencing of the 16S rRNA Gene for the Etiological Diagnosis of Infections.

Authors:  Claudie Lamoureux; Laure Surgers; Vincent Fihman; Guillaume Gricourt; Vanessa Demontant; Elisabeth Trawinski; Melissa N'Debi; Camille Gomart; Guilhem Royer; Nathalie Launay; Jeanne-Marie Le Glaunec; Charlotte Wemmert; Giulia La Martire; Geoffrey Rossi; Raphaël Lepeule; Jean-Michel Pawlotsky; Christophe Rodriguez; Paul-Louis Woerther
Journal:  Front Microbiol       Date:  2022-04-06       Impact factor: 5.640

  1 in total

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