Next generation sequencing for pathogen detection in periprosthetic joint infections

被引:42
作者
Indelli, Pier F. [1 ]
Ghirardelli, Stefano [2 ]
Violante, Bruno [2 ]
Amanatullah, Derek F. [1 ]
机构
[1] Stanford Univ, Dept Orthopaed Surg, Stanford, CA USA
[2] IRCCS, Ist Ortoped Galeazzi, Milan, Italy
关键词
next generation sequencing; periprosthetic joint infections; PJI; RESISTANT STAPHYLOCOCCUS-AUREUS; INTERNATIONAL CONSENSUS; DIAGNOSIS; REVISION; FLUID; CELL; IDENTIFICATION; EPIDEMIOLOGY; ARTHROPLASTY; SONICATION;
D O I
10.1302/2058-5241.6.200099
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Periprosthetic joint infections (PJI) represent one of the most catastrophic complications following total joint arthroplasty (TJA). The lack of standardized diagnostic tests and protocols for PJI is a challenge for arthroplasty surgeons. Next generation sequencing (NGS) is an innovative diagnostic tool that can sequence microbial deoxyribonucleic acids (DNA) from a synovial fluid sample: all DNA present in a specimen is sequenced in parallel, generating millions of reads. It has been shown to be extremely useful in a culture-negative PJI setting. Metagenomic NGS (mNGS) allows for universal pathogen detection, regardless of microbe type, in a 24-48-hour timeframe: in its nanopore-base variation, mNGS also allows for antimicrobial resistance characterization. Cell-free DNA (cfDNA) NGS, characterized by lack of the cell lysis step, has a fast run-time (hours) and, together with a high sensitivity and specificity in microorganism isolation, may provide information on the presence of antimicrobial resistance genes. Metagenomics and cfDNA testing have reduced the time needed to detect infecting bacteria and represent very promising technologies for fast PJI diagnosis. NGS technologies are revolutionary methods that could disrupt the diagnostic paradigm of PJI, but a comprehensive collection of clinical evidence is still needed before they become widely used diagnostic tools.
引用
收藏
页码:236 / 244
页数:9
相关论文
共 72 条
[21]  
Ivy MI, 2018, J CLIN MICROBIOL, V56, DOI [10.1128/JCM.00402-18, 10.1128/jcm.00402-18]
[22]   Successful Identification of Pathogens by Polymerase Chain Reaction (PCR)-Based Electron Spray Ionization Time-of-Flight Mass Spectrometry (ESI-TOF-MS) in Culture-Negative Periprosthetic Joint Infection [J].
Jacovides, Christina L. ;
Kreft, Rachael ;
Adeli, Bahar ;
Hozack, Bryan ;
Ehrlich, Garth D. ;
Parvizi, Javad .
JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME, 2012, 94A (24) :2247-2254
[23]  
Jaekel DJ, 2014, PERIPROSTHETIC JOINT, V1, P1
[24]   16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: Pluses, perils, and pitfalls [J].
Janda, J. Michael ;
Abbott, Sharon L. .
JOURNAL OF CLINICAL MICROBIOLOGY, 2007, 45 (09) :2761-2764
[25]   Early insights into the potential of the Oxford Nanopore MinION for the detection of antimicrobial resistance genes [J].
Judge, Kim ;
Harris, Simon R. ;
Reuter, Sandra ;
Parkhill, Julian ;
Peacock, Sharon J. .
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2015, 70 (10) :2775-2778
[26]   Culturing Periprosthetic Joint Infection: Number of Samples, Growth Duration, and Organisms [J].
Kheir, Michael M. ;
Tan, Timothy L. ;
Ackerman, Colin T. ;
Modi, Ronuk ;
Foltz, Carol ;
Parvizi, Javad .
JOURNAL OF ARTHROPLASTY, 2018, 33 (11) :3531-+
[27]   Economic Burden of Periprosthetic Joint Infection in the United States [J].
Kurtz, Steven M. ;
Lau, Edmund ;
Watson, Heather ;
Schmier, Jordana K. ;
Parvizi, Javad .
JOURNAL OF ARTHROPLASTY, 2012, 27 (08) :61-65
[28]   Optimizing culture methods for diagnosis of prosthetic joint infections: a summary of modifications and improvements reported since 1995 [J].
Larsen, Lone Heimann ;
Lange, Jeppe ;
Xu, Yijuan ;
Schonheyder, Henrik C. .
JOURNAL OF MEDICAL MICROBIOLOGY, 2012, 61 (03) :309-316
[29]  
Laver T, 2015, Biomol Detect Quantif, V3, P1
[30]   Molecular Diagnosis of Periprosthetic Joint Infection by Quantitative RT-PCR of Bacterial 16S Ribosomal RNA [J].
Lee, Mel S. ;
Chang, Wen-Hsin ;
Chen, Su-Chin ;
Hsieh, Pang-Hsin ;
Shih, Hsin-Nung ;
Ueng, SteveW. N. ;
Lee, Gwo-Bin .
SCIENTIFIC WORLD JOURNAL, 2013,