Presence of Oral Bacterial Species in Primary Endodontic Infections of Primary Teeth

Author:

Topcuoglu N1,Bozdoğan E2,Aktoren O2,Kulekci G1

Affiliation:

1. Department of Microbiology, Faculty of Dentistry, Istanbul University, Istanbul, Turkey

2. Department of Paediatric Dentistry, Faculty of Dentistry, Istanbul University, Istanbul, Turkey

Abstract

Objective: Knowledge of the microbial composition of deciduous endodontic infections is limited. This study aimed to evaluate the presence of the 10 oral bacterial species in samples from primary tooth root canals by using microarray technology and to determine the association of these organisms with clinical conditions. Study Design: The samples were collected from 30 root canals of primary teeth with primer infection. The bacterial composition of the samples was semi-quantitatively defined using a microarray system (Parocheck®). Results: All the tested species were detected in the samples. Fusobacterium nucleatum was the most frequently isolated bacterium (96.7%), followed by Prevotella intermedia (86.7%), Parvimonas micra (83.3%), Treponema denticola (76.7%) and Tannerella forsythia (66.7%). These bacteria were also present in high levels. All pairs of bacterial species were positively associated (RR≯1), except P.intermedia and P.micra. On average, five species (range:3-8) were detected per amplified sample. Root canals of teeth with ≯5 different species were statistically associated with periapical radiolucency (P=0.049). Conclusions: Primary teeth with endodontic infections show a highly diverse variety of bacteria, in which the most prevalent specie are present in high proportions. The well-directed use of the improved microarray technology will provide additional valuable information for causative factors associated with endodontic diseases, helping to develop more successful antibacterial or anti-inflammatory treatment strategies.

Publisher

The Journal of Clinical Pediatric Dentistry

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3