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口腔微生物组的深度测序揭示了牙周病的特征。

Deep sequencing of the oral microbiome reveals signatures of periodontal disease.

机构信息

Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.

出版信息

PLoS One. 2012;7(6):e37919. doi: 10.1371/journal.pone.0037919. Epub 2012 Jun 4.

Abstract

The oral microbiome, the complex ecosystem of microbes inhabiting the human mouth, harbors several thousands of bacterial types. The proliferation of pathogenic bacteria within the mouth gives rise to periodontitis, an inflammatory disease known to also constitute a risk factor for cardiovascular disease. While much is known about individual species associated with pathogenesis, the system-level mechanisms underlying the transition from health to disease are still poorly understood. Through the sequencing of the 16S rRNA gene and of whole community DNA we provide a glimpse at the global genetic, metabolic, and ecological changes associated with periodontitis in 15 subgingival plaque samples, four from each of two periodontitis patients, and the remaining samples from three healthy individuals. We also demonstrate the power of whole-metagenome sequencing approaches in characterizing the genomes of key players in the oral microbiome, including an unculturable TM7 organism. We reveal the disease microbiome to be enriched in virulence factors, and adapted to a parasitic lifestyle that takes advantage of the disrupted host homeostasis. Furthermore, diseased samples share a common structure that was not found in completely healthy samples, suggesting that the disease state may occupy a narrow region within the space of possible configurations of the oral microbiome. Our pilot study demonstrates the power of high-throughput sequencing as a tool for understanding the role of the oral microbiome in periodontal disease. Despite a modest level of sequencing (~2 lanes Illumina 76 bp PE) and high human DNA contamination (up to ~90%) we were able to partially reconstruct several oral microbes and to preliminarily characterize some systems-level differences between the healthy and diseased oral microbiomes.

摘要

口腔微生物组是人类口腔中栖息的微生物复杂生态系统,拥有数千种细菌类型。口腔中病原微生物的增殖会引发牙周炎,这是一种已知的炎症性疾病,也是心血管疾病的一个风险因素。虽然人们已经了解了与发病机制相关的个别物种,但从健康到疾病的转变的系统水平机制仍知之甚少。通过对 16S rRNA 基因和整个群落 DNA 的测序,我们对 15 个龈下菌斑样本中的牙周炎相关的全球遗传、代谢和生态变化进行了初步观察,其中每个样本来自两位牙周炎患者的 4 个样本和 3 位健康个体的 1 个样本。我们还展示了全宏基因组测序方法在描述口腔微生物组中关键参与者(包括一种不可培养的 TM7 生物)基因组方面的强大功能。我们发现疾病微生物组富含毒力因子,并适应了寄生生活方式,这种方式利用了宿主内稳态的破坏。此外,患病样本具有与完全健康样本不同的共同结构,这表明疾病状态可能占据了口腔微生物组可能构型空间内的一个狭窄区域。我们的初步研究表明,高通量测序是理解口腔微生物组在牙周病中的作用的有力工具。尽管测序水平相对较低(2 个 Illumina 76 bp PE 通道),并且人类 DNA 污染程度较高(高达90%),我们仍能够部分重建几种口腔微生物,并初步描述健康和患病口腔微生物组之间的一些系统水平差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/596f/3366996/4530e54da2a2/pone.0037919.g001.jpg

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