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Excellent Diagnostic Characteristics for Ultrafast Gene Profiling of DEFA1-IL1B-LTF in Detection of Prosthetic Joint Infections
R. Fillerova, J. Gallo, M. Radvansky, V. Kraiczova, M. Kudelka, E. Kriegova,
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NV15-27726A
MZ0
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NV16-31852A
MZ0
CEP Register
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from 1975 to 6 months ago
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from 1975 to 1 year ago
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from 1975 to 6 months ago
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PubMed
28637910
DOI
10.1128/jcm.00558-17
Knihovny.cz E-resources
- MeSH
- alpha-Defensins analysis genetics MeSH
- Biomarkers analysis MeSH
- Adult MeSH
- Prosthesis-Related Infections diagnosis microbiology MeSH
- Interleukin-1beta analysis genetics MeSH
- Carboxylic Ester Hydrolases analysis MeSH
- Lactoferrin analysis genetics MeSH
- Middle Aged MeSH
- Humans MeSH
- Arthroplasty, Replacement, Hip adverse effects MeSH
- Polymerase Chain Reaction MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Sensitivity and Specificity MeSH
- Gene Expression Profiling MeSH
- Synovial Fluid chemistry MeSH
- Arthroplasty, Replacement, Knee adverse effects MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The timely and exact diagnosis of prosthetic joint infection (PJI) is crucial for surgical decision-making. Intraoperatively, delivery of the result within an hour is required. Alpha-defensin lateral immunoassay of joint fluid (JF) is precise for the intraoperative exclusion of PJI; however, for patients with a limited amount of JF and/or in cases where the JF is bloody, this test is unhelpful. Important information is hidden in periprosthetic tissues that may much better reflect the current status of implant pathology. We therefore investigated the utility of the gene expression patterns of 12 candidate genes (TLR1, -2, -4, -6, and 10, DEFA1, LTF, IL1B, BPI, CRP, IFNG, and DEFB4A) previously associated with infection for detection of PJI in periprosthetic tissues of patients with total joint arthroplasty (TJA) (n = 76) reoperated for PJI (n = 38) or aseptic failure (n = 38), using the ultrafast quantitative reverse transcription-PCR (RT-PCR) Xxpress system (BJS Biotechnologies Ltd.). Advanced data-mining algorithms were applied for data analysis. For PJI, we detected elevated mRNA expression levels of DEFA1 (P < 0.0001), IL1B (P < 0.0001), LTF (P < 0.0001), TLR1 (P = 0.02), and BPI (P = 0.01) in comparison to those in tissues from aseptic cases. A feature selection algorithm revealed that the DEFA1-IL1B-LTF pattern was the most appropriate for detection/exclusion of PJI, achieving 94.5% sensitivity and 95.7% specificity, with likelihood ratios (LRs) for positive and negative results of 16.3 and 0.06, respectively. Taken together, the results show that DEFA1-IL1B-LTF gene expression detection by use of ultrafast qRT-PCR linked to an electronic calculator allows detection of patients with a high probability of PJI within 45 min after sampling. Further testing on a larger cohort of patients is needed.
References provided by Crossref.org
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