Willis Amanda L, Calton Joshua B, Carr Tara F, Chiu Alexander G, Chang Eugene H
Department of Otolaryngology, University of Arizona, Tucson, Arizona, USA.
Am J Rhinol Allergy. 2016 Mar-Apr;30(2):94-8. doi: 10.2500/ajra.2016.30.4278. Epub 2015 Dec 28.
Recently, there has been tremendous interest in the sinus microbiome and how it relates to disease. However, a lack of a standardized sample collection and DNA extraction methods makes comparison of results across studies nearly impossible. Furthermore, current techniques fail to identify which components of the microbiome are actually alive within the host at the time of sampling.
To develop and optimize a method to differentiate which bacterial species in the human sinus microbiome are live versus dead.
Duplicate samples from the middle meatus of patients with healthy sinus tissue and those patients with chronic rhinosinusitis were collected by using brushes (n = 12), swabs (n = 27), and tissue biopsy (n = 8) methods. One sample from each pair was either deoxyribonuclease I- or control-treated before DNA extraction. The relative bacterial versus human composition of each sample was determined. A 16S ribosomal RNA gene analysis was performed on a six-paired sample from patients with healthy sinus tissue.
We found that swabs and brushes collected a higher percentage of bacterial DNA than did tissue biopsy. We also determined that as much as 50% of the bacteria collected in these samples was already dead at the time of collection. The 16S ribosomal RNA gene analysis found significant changes in the relative abundance of taxa identified in the live versus dead bacterial communities of healthy human sinuses.
Our findings indicated that swabs provided the best quality microbiome samples and that a large portion of the bacteria identified in the sinus were deoxyribonuclease I sensitive. These results highlighted the need for improved techniques such as those presented here, which can differentiate between living and dead bacteria in a sample, a potentially critical distinction when examining changes in sinus innate immune function because both components play important, but distinct, functions. Further studies will determine how these living and dead bacterial populations shift in different disease states and after clinical intervention.
最近,人们对鼻窦微生物群及其与疾病的关系产生了极大兴趣。然而,缺乏标准化的样本采集和DNA提取方法使得跨研究比较结果几乎不可能。此外,当前技术无法确定在采样时微生物群的哪些成分在宿主体内实际存活。
开发并优化一种方法,以区分人类鼻窦微生物群中哪些细菌种类是活的还是死的。
通过使用刷子(n = 12)、拭子(n = 27)和组织活检(n = 8)方法,从健康鼻窦组织患者和慢性鼻-鼻窦炎患者的中鼻道采集重复样本。在DNA提取前,将每对样本中的一个进行脱氧核糖核酸酶I处理或对照处理。确定每个样本中细菌与人类的相对组成。对来自健康鼻窦组织患者的六对样本进行16S核糖体RNA基因分析。
我们发现,拭子和刷子采集的细菌DNA百分比高于组织活检。我们还确定,这些样本中多达50%的细菌在采集时已经死亡。16S核糖体RNA基因分析发现,在健康人鼻窦的活细菌群落和死细菌群落中鉴定出的分类群相对丰度有显著变化。
我们的研究结果表明,拭子提供了质量最好的微生物群样本,并且鼻窦中鉴定出的大部分细菌对脱氧核糖核酸酶I敏感。这些结果凸显了改进技术的必要性,例如本文介绍的技术,其可以区分样本中的活细菌和死细菌,这在检查鼻窦固有免疫功能变化时可能是一个关键区别,因为这两种成分发挥着重要但不同的功能。进一步的研究将确定这些活细菌和死细菌群体在不同疾病状态和临床干预后如何变化。