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基于序列的微生物病原体鉴定:对科赫法则的重新审视。

Sequence-based identification of microbial pathogens: a reconsideration of Koch's postulates.

作者信息

Fredricks D N, Relman D A

机构信息

Department of Medicine, Stanford University School of Medicine, California 94305, USA.

出版信息

Clin Microbiol Rev. 1996 Jan;9(1):18-33. doi: 10.1128/CMR.9.1.18.

Abstract

Over 100 years ago, Robert Koch introduced his ideas about how to prove a causal relationship between a microorganism and a disease. Koch's postulates created a scientific standard for causal evidence that established the credibility of microbes as pathogens and led to the development of modern microbiology. In more recent times, Koch's postulates have evolved to accommodate a broader understanding of the host-parasite relationship as well as experimental advances. Techniques such as in situ hybridization, PCR, and representational difference analysis reveal previously uncharacterized, fastidious or uncultivated, microbial pathogens that resist the application of Koch's original postulates, but they also provide new approaches for proving disease causation. In particular, the increasing reliance on sequence-based methods for microbial identification requires a reassessment of the original postulates and the rationale that guided Koch and later revisionists. Recent investigations of Whipple's disease, human ehrlichiosis, hepatitis C, hantavirus pulmonary syndrome, and Kaposi's sarcoma illustrate some of these issues. A set of molecular guidelines for establishing disease causation with sequence-based technology is proposed, and the importance of the scientific concordance of evidence in supporting causal associations is emphasized.

摘要

100多年前,罗伯特·科赫提出了关于如何证明微生物与疾病之间因果关系的观点。科赫法则为因果证据创建了一个科学标准,确立了微生物作为病原体的可信度,并推动了现代微生物学的发展。近年来,科赫法则不断演变,以适应对宿主-寄生虫关系更广泛的理解以及实验进展。诸如原位杂交、聚合酶链反应和代表性差异分析等技术揭示了以前未被表征、挑剔或未培养的微生物病原体,这些病原体无法应用科赫的原始法则,但它们也为证明疾病病因提供了新方法。特别是,越来越依赖基于序列的方法进行微生物鉴定,这就需要重新评估原始法则以及指导科赫和后来修正主义者的基本原理。最近对惠普尔病、人类埃立克体病、丙型肝炎、汉坦病毒肺综合征和卡波西肉瘤的研究说明了其中的一些问题。本文提出了一套利用基于序列的技术确定疾病病因的分子指南,并强调了证据的科学一致性在支持因果关联方面的重要性。

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