口腔医学研究

口腔医学研究 ›› 2020, Vol. 36 ›› Issue (11): 1016-1021.DOI: 10.13701/j.cnki.kqyxyj.2020.11.008

• 牙周病学研究 • 上一篇    下一篇

延迟响应诱导口腔菌群多样性形成机制分析

董琛1*, 胡大伟2   

  1. 1.山东体育学院运动营养与智慧配餐实验室 山东 济南 250102;
    2.北京航空航天大学生物与医学工程学院 北京 100191
  • 收稿日期:2020-06-04 出版日期:2020-11-28 发布日期:2020-11-27
  • 通讯作者: *董琛,E-mail:dongchen@sdpei.edu.cn
  • 作者简介:董琛(1986~ ),男,山东济南人,讲师,博士,研究方向:口腔微生物学。
  • 基金资助:
    国家社科基金重点项目(编号:18ATY002)山东省高等学校青年创新人才引育计划基金(编号:72)

Analysis on Formation Mechanism of Oral Microbiome Diversity Induced by Delayed Response

DONG Chen1*, HU Dawei2   

  1. 1. Shandong Sport University, Laboratory of Sport Nutrition and Intelligent Cooking, Jinan 250102, China;
    2. School of Biological Science and Medical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2020-06-04 Online:2020-11-28 Published:2020-11-27

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摘要： 目的:探究人体口腔中微生物的形成与维持机制是什么。方法:调查了口腔健康和患病各20例的口腔菌群,分析了5个常见菌属——颗粒链菌属、卟啉单胞菌属、棒杆菌属、纤毛菌属和福赛斯坦纳菌属的特征。结果:健康口腔中菌群动态呈现出较显著的异步波动趋势,而患病口腔菌群的波动是平稳的随机过程,健康口腔中微生物生长的2类基本延迟响应包括生殖延迟和反应延迟,由此可以间接导致种间竞争延迟和底物分解延迟,这些延迟响应和异步周期性波动形成与维持了较高的物种多样性。结论:建立了有效的口腔菌群演替系统动力学模型,通过大量的仿真实验确证了所提出的口腔菌群演替机制的有效性。

关键词: 口腔微生物多样性, 延迟响应, 系统动力学模型, 仿真实验

Abstract: Objective: To explore the formation and maintenance mechanism of microorganisms in human oral cavity. Methods: Oral flora of 20 patients with oral health and disease were investigated, and the abundance of five common bacteria genera-Granulicatella, Porphyromonas, Corynebacterium, Leptotrichia, and Tannerella were analyzed. Results: Bacteria in the healthy mouth presented significant asynchronous fluctuation trend, while the fluctuation of bacteria in the mouth with disease is a stationary random process. The two basic response delays in the healthy mouth, i.e. reproductive delay and reaction delay, were identified, which were accompanied with interspecific delay and substrate decomposing delay. These delayed responses could cause asynchronous periodic fluctuations of the number of each species and thus form and maintain high species diversity. Based on the experimental data and hypothesis, an effective dynamic model of oral flora succession system was established. Conclusion: The effectiveness of the proposed oral microbiome succession mechanism was confirmed by a large number of simulation experiments.

Key words: oral microbial diversity, delay responses, system dynamic model, digital simulation