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Persistence of bacterial DNA in orthopedic infections
Polymerase chain reaction (PCR) has been proposed as a method to identify bacteria in clinical samples because it is more sensitive than culture techniques and can produce results rapidly. However, PCR can detect DNA from dead cells and thus cannot distinguish between live and dead cells in a tissue...
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Published in: | Diagnostic microbiology and infectious disease 2018-06, Vol.91 (2), p.136-140 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Polymerase chain reaction (PCR) has been proposed as a method to identify bacteria in clinical samples because it is more sensitive than culture techniques and can produce results rapidly. However, PCR can detect DNA from dead cells and thus cannot distinguish between live and dead cells in a tissue sample. Killed Staphylococcus aureus cells were implanted into the femurs and knee joints of rats to determine the length of time that DNA from dead cells is detectable in a living animal under conditions similar to common orthopedic infections. In the joint infection model studied here, the DNA from the dead planktonic bacteria was detected using PCR immediately after injection or 24 h later, but was undetectable 48 and 72 h after injection. In the biofilm implanted-device model studied, the DNA from these dead biofilm cells was detected by PCR immediately after implantation and at 24 h, but not at 48 or 72 h. Thus, our results indicate that DNA from dead cells does not persist in these animal model systems for more than 2 days, which should reduce concerns about possible false positive results using molecular DNA-based techniques for the detection of pathogens.
•PCR detection of infection may give false positive results by detecting DNA from dead bacteria.•Persistence of DNA from dead bacteria was investigated for orthopedic infections.•DNA persisted for less than 48 h, limiting the chance of false-positive results. |
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ISSN: | 0732-8893 1879-0070 |
DOI: | 10.1016/j.diagmicrobio.2018.01.009 |