Analysis of 525 samples to determine the usefulness of PCR amplification and sequencing of the 16S rRNA gene for diagnosis of bone and joint infections.

Abstract

The 16S rRNA gene PCR in the diagnosis of bone and joint infections has not been systematically tested. Five hundred twenty-five bone and joint samples collected from 525 patients were cultured and submitted to 16S rRNA gene PCR detection of bacteria in parallel. The amplicons with mixed sequences were also cloned. When discordant results were observed, culture and PCR were performed once again. Bacteria were detected in 139 of 525 samples. Culture and 16S rRNA gene PCR yielded identical documentation in 475 samples. Discrepancies were linked to 13 false-positive culture results, 5 false-positive PCR results, 9 false-negative PCR results, 16 false-negative culture results, and 7 mixed infections. Cloning and sequencing of 16S rRNA gene amplicons in 6 of 8 patients with mixed infections identified 2 to 8 bacteria per sample. Rarely described human pathogens such as Alcaligenes faecalis, Comamonas terrigena, and 21 anaerobes were characterized. We also detected, by 16S rRNA gene PCR, four previously identified bacteria never reported in human infection, Alkanindiges illinoisensis, dehydroabietic acid-degrading bacterium DhA-73, unidentified Hailaer soda lake bacterium, and uncultured bacterium clone HuCa4. Seven organisms representing new potential species were also detected. PCR followed by cloning and sequencing may help to identify new pathogens involved in mixed bone infection.

• Authors: Florence Fenollar, Véronique Roux, Andréas Stein, Michel Drancourt, Didier Raoult
• Journal: Journal of clinical microbiology (J Clin Microbiol) Vol. 44 Issue 3 Pg. 1018-28 (Mar 2006) ISSN: 0095-1137 [Print] United States
• PMID: 16517890 (Publication Type: Comparative Study, Journal Article)

Chemical References

• DNA, Bacterial
• RNA, Ribosomal, 16S

Topics

• Arthritis, Infectious (diagnosis, microbiology)
• Bacterial Infections (diagnosis, microbiology)
• Bacteriological Techniques (statistics & numerical data)
• Base Sequence
• Bone Diseases, Infectious (diagnosis, microbiology)
• DNA, Bacterial (genetics)
• Genes, Bacterial
• Humans
• Joint Diseases (diagnosis, microbiology)
• Osteomyelitis (diagnosis, microbiology)
• Phylogeny
• Polymerase Chain Reaction (statistics & numerical data)
• Prospective Studies
• RNA, Ribosomal, 16S (genetics)