H Cao1, Z Qi, H Jiang, J Zhao, Z Liu, Z Tang. 1. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, State Key Lab of Transducer Technology, Shanghai, People's Republic China.
Abstract
AIM: To assess the prevalence of three black-pigmented bacterial species (Porphyromonas endodontalis, Porphyromonas gingivalis and Prevotella intermedia) using microarray technology in root canals of teeth associated with primary endodontic infections in a Chinese population. METHODOLOGY: Microbial samples were taken from root canals of 80 teeth with pulp necrosis and primary endodontic infections in a Chinese population. DNA extracted from the samples was amplified by PCR with universal bacterial primers based on 16S rRNA gene sequences, and the products hybridized with the microarrays in which the specific oligonucleotide probes were added. The results of hybridization were screened by a confocal laser scanner. Pearson chi-square test and the two-sided Fisher exact test were used to analyse whether a significant association existed between the species and symptoms as well as in co-existence of two target organisms by a statistical software package (SAS 8.02). RESULTS: The 16S rRNA gene microarray detected at least one of the three test species in 76% of the study teeth. P. endodontalis, P. gingivalis and P. intermedia were found in 50%, 33% and 45%, respectively. A significant association was found in the presence of the pair P. endodontalis / P. gingivalis (P < 0.005). Both P. endodontalis (P <0.05) and P. gingivalis (P <0.005) had a statistically significant association with the presence of a sinus tract. The simultaneous presence of P. endodontalis and P. gingivalis was also associated with the presence of a sinus tract (P<0.005) and abscess formation (P<0.05). CONCLUSIONS: The three black-pigmented bacteria were prevalent in teeth with pulp necrosis and primary endodontic infections in a Chinese population. P. gingivalis and P. endodontalis were associated with the presence of sinus tract and abscess formation.
AIM: To assess the prevalence of three black-pigmented bacterial species (Porphyromonas endodontalis, Porphyromonas gingivalis and Prevotella intermedia) using microarray technology in root canals of teeth associated with primary endodontic infections in a Chinese population. METHODOLOGY: Microbial samples were taken from root canals of 80 teeth with pulp necrosis and primary endodontic infections in a Chinese population. DNA extracted from the samples was amplified by PCR with universal bacterial primers based on 16S rRNA gene sequences, and the products hybridized with the microarrays in which the specific oligonucleotide probes were added. The results of hybridization were screened by a confocal laser scanner. Pearson chi-square test and the two-sided Fisher exact test were used to analyse whether a significant association existed between the species and symptoms as well as in co-existence of two target organisms by a statistical software package (SAS 8.02). RESULTS: The 16S rRNA gene microarray detected at least one of the three test species in 76% of the study teeth. P. endodontalis, P. gingivalis and P. intermedia were found in 50%, 33% and 45%, respectively. A significant association was found in the presence of the pair P. endodontalis / P. gingivalis (P < 0.005). Both P. endodontalis (P <0.05) and P. gingivalis (P <0.005) had a statistically significant association with the presence of a sinus tract. The simultaneous presence of P. endodontalis and P. gingivalis was also associated with the presence of a sinus tract (P<0.005) and abscess formation (P<0.05). CONCLUSIONS: The three black-pigmented bacteria were prevalent in teeth with pulp necrosis and primary endodontic infections in a Chinese population. P. gingivalis and P. endodontalis were associated with the presence of sinus tract and abscess formation.
Authors: Maria Tereza P Albuquerque; Joshua D Evans; Richard L Gregory; Marcia C Valera; Marco C Bottino Journal: Clin Oral Investig Date: 2015-08-29 Impact factor: 3.573
Authors: Ciaran O'Flynn; Oliver Deusch; Aaron E Darling; Jonathan A Eisen; Corrin Wallis; Ian J Davis; Stephen J Harris Journal: Genome Biol Evol Date: 2015-11-13 Impact factor: 3.416