Moon Ji-Hoi, Lee Jae-Hyung
Department of Maxillofacial Biomedical Engineering, School of Dentistry, and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul 02447, Korea.
BMB Rep. 2016 Dec;49(12):662-670. doi: 10.5483/bmbrep.2016.49.12.164.
The human oral cavity contains a highly personalized microbiome essential to maintaining health, but capable of causing oral and systemic diseases. Thus, an in-depth definition of "healthy oral microbiome" is critical to understanding variations in disease states from preclinical conditions, and disease onset through progressive states of disease. With rapid advances in DNA sequencing and analytical technologies, population-based studies have documented the range and diversity of both taxonomic compositions and functional potentials observed in the oral microbiome in healthy individuals. Besides factors specific to the host, such as age and race/ethnicity, environmental factors also appear to contribute to the variability of the healthy oral microbiome. Here, we review bioinformatic techniques for metagenomic datasets, including their strengths and limitations. In addition, we summarize the interpersonal and intrapersonal diversity of the oral microbiome, taking into consideration the recent large-scale and longitudinal studies, including the Human Microbiome Project. [BMB Reports 2016; 49(12): 662-670].
人类口腔中含有高度个性化的微生物群,它对维持健康至关重要,但也可能引发口腔疾病和全身性疾病。因此,深入定义“健康口腔微生物群”对于理解从临床前状态到疾病发作及疾病进展状态的疾病状态变化至关重要。随着DNA测序和分析技术的迅速发展,基于人群的研究记录了健康个体口腔微生物群中观察到的分类组成和功能潜力的范围及多样性。除了宿主特异性因素,如年龄和种族/民族外,环境因素似乎也导致了健康口腔微生物群的变异性。在此,我们综述了宏基因组数据集的生物信息学技术,包括其优势和局限性。此外,我们结合近期的大规模纵向研究,包括人类微生物组计划,总结了口腔微生物群的人际和个体内多样性。[《BMB报告》2016年;49(12): 662 - 670]