评估口腔菌斑生物膜中微生物病原体数量的最新分子技术

H. Horz, G. Conrads
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In this chapter molecular tools based on real-time quantitative polymerase chain reaction (RTQ-PCR) will be described along with ways showing the computation and analysis of the datasets. RTQ-PCR allows the determination of the amount of almost any given bacterial species or the total bacterial load in oral clinical sample in a sensitive and highly reproducible way. The precise and time-efficient nature of this technique allows to run large numbers of samples and if several bacterial targets are studied in parallel to study the dynamics and potential interactions of microbial populations over space and time. This chapter will be complemented by discussing potential pitfalls that should be taken into consideration for producing proper results along with referring the reader to pertinent literature that will allow an individual deepening into the concept of molecular-based diagnosis in clinical dentistry. microbiome of approximately 2000 different species) is at least 100 times larger than the human genome (Turnbaugh et al., 2007). Coevolution of humans and microbes has led to mutual interdependencies with the human body benefiting from the unique metabolic capacities of the adapted microbes. Besides providing us with nutrition and vitamins and “shaping” our immune system our microflora protects us from invasion by pathogenic species through complex competitive interactions. Conversely, DOI: 10.4018/978-1-60566-733-1.ch005 78 International Journal of Nanotechnology and Molecular Computation, 2(4), 77-93, October-December 2010 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. the microbes are provided with a rich buffet of glycans and a protected anoxic environment. The symbiotic relationship, however, depends on the stability of the protecting microflora. Shifts in the microbial community composition can occur quite frequently leading possibly to the development of disease or at least to the predisposition for a disease. Classical examples are oral diseases, such as periodontitis and caries but also extra-oral diseases such as inflammatory bowel disease (Crohn’s disease). These chronical infectious diseases can be viewed as the result of an “ecological disaster” within the microbial community (Marsh, 2003). Knowledge about the amount and kind or microbial consortia responsible for the development of disease is becoming increasingly important with the recognition that most chronical infectious diseases are polymicrobial (Brogden et al., 2004). In recent years, recovery of sequence-based signatures of life (using the 16S rRNA gene as target) direct from natural environments and the human body have revealed an extremely high diversity of microorganisms of which at least 90% are resistant to cultivation in the laboratory and thus with as-yet unknown functions (Amann et al., 1995). Conversely, clinical microbiology continues to rely heavily upon cultivation-based methods. The strong bias toward bacteria that are amenable to cultivation is illustrated by the fact that in a 6-year period 65% of all published microbiological research focused on just 8 bacterial genera (Hugenholtz, 2002). While there is certainly no dearth of known microbial pathogens it is even so plausible to assume that the existence of pathogens is not restricted to those being best adaptive to laboratory culture conditions. In this regard it should be noted that traditional diagnostic methods applied to syndromes of suspected infectious etiology, such as pneumonia, encephalitis, lymphocytepredominant meningitis, pericarditis, acute diarrhea, and sepsis quite frequently fail to give a microbiological explanation. Furthermore the etiology of a large list of chronic inflammatory diseases with features of infection remains poorly understood. Hence, nucleic acid based technologies may not only help improve daily routine diagnosis in microbiology but also to screen for novel, previously unrecognized microbial pathogens. In addition combined with principles and concepts of microbial ecology – cultivation-independent approaches will enable to better understand the beneficial effects of the endogenous microflora as well as the consequences coming along with changes from the physiological to a pathological community. In this regard oral microbiology is a multidisciplinary research field which is equally relevant to general microbiologists as well as for dentistry. Since most oral diseases are associated with pathogenic microflora (e.g. caries, periodontitis and infected root canals with necrotic pulp tissue) knowledge of the amount and types of microorganisms involved is important for the dentist in order to choose the optimal treatment therapy. For the microbiologist the oral microflora is of interest because it can be considered as a model microbial system, with which fundamental ecological principles also valid for more complex microbial ecosystems in nature can be studied. In either case knowledge of population size and diversity of the microflora are important. In the next section the basic concept of quantifying oral microbes based on real-time quantitative PCR (RTQPCR) will be discussed. The following section will focus on general parameters that have to be considered when RTQ-PCR experiments are planned. The section thereafter is dedicated to a representative application along with the discussion of problems as well as possibilities to obtain reasonably interpretable results. References to pertinent literature which provides overviews of the major existing platforms, chemistries and software will be given in the text, where it is appropriate. THE GENERAL CONCEPT OF RTQ-PCR","PeriodicalId":259233,"journal":{"name":"Int. J. Nanotechnol. Mol. Comput.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Current Molecular Technologies for Assessing the Amount of Microbial Pathogens in Oral Plaque Biofilms\",\"authors\":\"H. Horz, G. 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RTQ-PCR allows the determination of the amount of almost any given bacterial species or the total bacterial load in oral clinical sample in a sensitive and highly reproducible way. The precise and time-efficient nature of this technique allows to run large numbers of samples and if several bacterial targets are studied in parallel to study the dynamics and potential interactions of microbial populations over space and time. This chapter will be complemented by discussing potential pitfalls that should be taken into consideration for producing proper results along with referring the reader to pertinent literature that will allow an individual deepening into the concept of molecular-based diagnosis in clinical dentistry. microbiome of approximately 2000 different species) is at least 100 times larger than the human genome (Turnbaugh et al., 2007). 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Classical examples are oral diseases, such as periodontitis and caries but also extra-oral diseases such as inflammatory bowel disease (Crohn’s disease). These chronical infectious diseases can be viewed as the result of an “ecological disaster” within the microbial community (Marsh, 2003). Knowledge about the amount and kind or microbial consortia responsible for the development of disease is becoming increasingly important with the recognition that most chronical infectious diseases are polymicrobial (Brogden et al., 2004). In recent years, recovery of sequence-based signatures of life (using the 16S rRNA gene as target) direct from natural environments and the human body have revealed an extremely high diversity of microorganisms of which at least 90% are resistant to cultivation in the laboratory and thus with as-yet unknown functions (Amann et al., 1995). Conversely, clinical microbiology continues to rely heavily upon cultivation-based methods. The strong bias toward bacteria that are amenable to cultivation is illustrated by the fact that in a 6-year period 65% of all published microbiological research focused on just 8 bacterial genera (Hugenholtz, 2002). While there is certainly no dearth of known microbial pathogens it is even so plausible to assume that the existence of pathogens is not restricted to those being best adaptive to laboratory culture conditions. In this regard it should be noted that traditional diagnostic methods applied to syndromes of suspected infectious etiology, such as pneumonia, encephalitis, lymphocytepredominant meningitis, pericarditis, acute diarrhea, and sepsis quite frequently fail to give a microbiological explanation. Furthermore the etiology of a large list of chronic inflammatory diseases with features of infection remains poorly understood. Hence, nucleic acid based technologies may not only help improve daily routine diagnosis in microbiology but also to screen for novel, previously unrecognized microbial pathogens. In addition combined with principles and concepts of microbial ecology – cultivation-independent approaches will enable to better understand the beneficial effects of the endogenous microflora as well as the consequences coming along with changes from the physiological to a pathological community. In this regard oral microbiology is a multidisciplinary research field which is equally relevant to general microbiologists as well as for dentistry. Since most oral diseases are associated with pathogenic microflora (e.g. caries, periodontitis and infected root canals with necrotic pulp tissue) knowledge of the amount and types of microorganisms involved is important for the dentist in order to choose the optimal treatment therapy. 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引用次数: 4

摘要

确定和量化口腔微生物种群的目标在临床牙科中越来越重要。尽管标准的实验室培养方法对耐药性的产生很重要,但不幸的是,它不足以培养在病理部位(如牙周袋或感染的根管)占主导地位的大多数主要厌氧菌种。相反,快速发展的基于核酸的技术领域是一种很有前途的方法,可以获得口腔微生物群的全部广度。然而,对这一发展至关重要的是正确理解和应用这些方法以及了解它们的局限性。在本章中,将描述基于实时定量聚合酶链反应(RTQ-PCR)的分子工具以及显示数据集计算和分析的方法。RTQ-PCR能够以灵敏和高重复性的方式测定口腔临床样品中几乎任何给定细菌种类的数量或细菌总负荷。这种技术的精确和时间效率的性质允许运行大量的样品,如果并行研究几个细菌目标,研究微生物种群在空间和时间上的动态和潜在的相互作用。本章将通过讨论潜在的陷阱来补充,这些陷阱应该被考虑到产生适当的结果,同时参考读者相关的文献,这些文献将允许个人深入了解临床牙科中基于分子的诊断的概念。大约2000种不同物种的微生物组)比人类基因组至少大100倍(Turnbaugh等人,2007)。人类和微生物的共同进化导致了相互依存,人体受益于适应微生物的独特代谢能力。除了为我们提供营养和维生素和“塑造”我们的免疫系统外,微生物群还通过复杂的竞争相互作用保护我们免受病原物种的入侵。相反,DOI: 10.4018/978-1-60566-733-1。ch005国际纳米技术与分子计算学报,2(4),77-93,2010年10 - 12月版权所有©2010,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。为微生物提供了丰富的聚糖自助餐和受保护的缺氧环境。然而,这种共生关系取决于保护菌群的稳定性。微生物群落组成的变化可以相当频繁地发生,可能导致疾病的发展或至少导致疾病的易感性。典型的例子是口腔疾病,如牙周炎和龋齿,以及口腔外疾病,如炎症性肠病(克罗恩病)。这些慢性传染病可被视为微生物群落“生态灾难”的结果(Marsh, 2003年)。随着人们认识到大多数慢性传染病是由多微生物组成的,了解导致疾病发展的微生物群落的数量和种类正变得越来越重要(Brogden et al., 2004)。近年来,直接从自然环境和人体中恢复基于序列的生命特征(以16S rRNA基因为靶标)表明,微生物的多样性极高,其中至少90%对实验室培养具有抗性,因此具有迄今未知的功能(Amann et al., 1995)。相反,临床微生物学继续严重依赖以培养为基础的方法。在6年的时间里,所有已发表的微生物研究中有65%只关注8种细菌属,这一事实说明了对易于培养的细菌的强烈偏见(Hugenholtz, 2002)。虽然肯定不缺乏已知的微生物病原体,但假设病原体的存在并不局限于那些最适合实验室培养条件的病原体是如此合理。在这方面,应该指出的是,传统的诊断方法应用于疑似感染性病因的综合征,如肺炎、脑炎、淋巴细胞占优势的脑膜炎、心包炎、急性腹泻和败血症,往往不能给出微生物学的解释。此外,大量具有感染特征的慢性炎症性疾病的病因仍然知之甚少。因此,基于核酸的技术不仅可以帮助改善微生物学的日常诊断,还可以筛选以前未被识别的新型微生物病原体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current Molecular Technologies for Assessing the Amount of Microbial Pathogens in Oral Plaque Biofilms
The goal of identifying and quantifying defined oral microbial populations has gained increasing importance in clinical dentistry. Standard laboratory culture-based procedures–despite their importance for the generation of resistance profiles–are unfortunately inadequate to grow the majority of mainly anaerobic species that predominate at pathological sites, such as periodontal pockets or infected root canals. Conversely, the rapidly evolving field of nucleic-acid-based technologies is a promising approach to access the full breadth of the oral microflora. Critical to this development, however, is a proper understanding and application of the methodologies and knowledge of their limitations. In this chapter molecular tools based on real-time quantitative polymerase chain reaction (RTQ-PCR) will be described along with ways showing the computation and analysis of the datasets. RTQ-PCR allows the determination of the amount of almost any given bacterial species or the total bacterial load in oral clinical sample in a sensitive and highly reproducible way. The precise and time-efficient nature of this technique allows to run large numbers of samples and if several bacterial targets are studied in parallel to study the dynamics and potential interactions of microbial populations over space and time. This chapter will be complemented by discussing potential pitfalls that should be taken into consideration for producing proper results along with referring the reader to pertinent literature that will allow an individual deepening into the concept of molecular-based diagnosis in clinical dentistry. microbiome of approximately 2000 different species) is at least 100 times larger than the human genome (Turnbaugh et al., 2007). Coevolution of humans and microbes has led to mutual interdependencies with the human body benefiting from the unique metabolic capacities of the adapted microbes. Besides providing us with nutrition and vitamins and “shaping” our immune system our microflora protects us from invasion by pathogenic species through complex competitive interactions. Conversely, DOI: 10.4018/978-1-60566-733-1.ch005 78 International Journal of Nanotechnology and Molecular Computation, 2(4), 77-93, October-December 2010 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. the microbes are provided with a rich buffet of glycans and a protected anoxic environment. The symbiotic relationship, however, depends on the stability of the protecting microflora. Shifts in the microbial community composition can occur quite frequently leading possibly to the development of disease or at least to the predisposition for a disease. Classical examples are oral diseases, such as periodontitis and caries but also extra-oral diseases such as inflammatory bowel disease (Crohn’s disease). These chronical infectious diseases can be viewed as the result of an “ecological disaster” within the microbial community (Marsh, 2003). Knowledge about the amount and kind or microbial consortia responsible for the development of disease is becoming increasingly important with the recognition that most chronical infectious diseases are polymicrobial (Brogden et al., 2004). In recent years, recovery of sequence-based signatures of life (using the 16S rRNA gene as target) direct from natural environments and the human body have revealed an extremely high diversity of microorganisms of which at least 90% are resistant to cultivation in the laboratory and thus with as-yet unknown functions (Amann et al., 1995). Conversely, clinical microbiology continues to rely heavily upon cultivation-based methods. The strong bias toward bacteria that are amenable to cultivation is illustrated by the fact that in a 6-year period 65% of all published microbiological research focused on just 8 bacterial genera (Hugenholtz, 2002). While there is certainly no dearth of known microbial pathogens it is even so plausible to assume that the existence of pathogens is not restricted to those being best adaptive to laboratory culture conditions. In this regard it should be noted that traditional diagnostic methods applied to syndromes of suspected infectious etiology, such as pneumonia, encephalitis, lymphocytepredominant meningitis, pericarditis, acute diarrhea, and sepsis quite frequently fail to give a microbiological explanation. Furthermore the etiology of a large list of chronic inflammatory diseases with features of infection remains poorly understood. Hence, nucleic acid based technologies may not only help improve daily routine diagnosis in microbiology but also to screen for novel, previously unrecognized microbial pathogens. In addition combined with principles and concepts of microbial ecology – cultivation-independent approaches will enable to better understand the beneficial effects of the endogenous microflora as well as the consequences coming along with changes from the physiological to a pathological community. In this regard oral microbiology is a multidisciplinary research field which is equally relevant to general microbiologists as well as for dentistry. Since most oral diseases are associated with pathogenic microflora (e.g. caries, periodontitis and infected root canals with necrotic pulp tissue) knowledge of the amount and types of microorganisms involved is important for the dentist in order to choose the optimal treatment therapy. For the microbiologist the oral microflora is of interest because it can be considered as a model microbial system, with which fundamental ecological principles also valid for more complex microbial ecosystems in nature can be studied. In either case knowledge of population size and diversity of the microflora are important. In the next section the basic concept of quantifying oral microbes based on real-time quantitative PCR (RTQPCR) will be discussed. The following section will focus on general parameters that have to be considered when RTQ-PCR experiments are planned. The section thereafter is dedicated to a representative application along with the discussion of problems as well as possibilities to obtain reasonably interpretable results. References to pertinent literature which provides overviews of the major existing platforms, chemistries and software will be given in the text, where it is appropriate. THE GENERAL CONCEPT OF RTQ-PCR
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