Microbial characteristics of the DMFT index in a high HIV prevalence setting

Microbial characteristics of the DMFT index in a high HIV prevalence setting
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DOI:
10.21203/rs.3.rs-25139/v1
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发表时间:
2020-05
期刊:
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影响因子:
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通讯作者:
Dunstan Kalanzi;H. M. Kizza;D. Nakanjako;G. Mboowa;M. Mbabali;Edgar Kigozi;F. Ashaba;Ivan Sserwadda;D. Kateete;B. Acan;N. Sewankambo;A. Muwonge
Dunstan Kalanzi;H. M. Kizza;D. Nakanjako;G. Mboowa;M. Mbabali;Edgar Kigozi;F. Ashaba;Ivan Sserwadda;D. Kateete;B. Acan;N. Sewankambo;A. Muwonge
中科院分区:
其他
文献类型:
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作者:
Dunstan Kalanzi;H. M. Kizza;D. Nakanjako;G. Mboowa;M. Mbabali;Edgar Kigozi;F. Ashaba;Ivan Sserwadda;D. Kateete;B. Acan;N. Sewankambo;A. Muwonge

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背景:口腔疾病的发病机制主要是由微生物生态失调驱动的,尽管诊断通常是宏观的。为了改善早期发现,特别是在艾滋病毒患者谁是不成比例的影响,有必要调和宏观和微观特征的疾病。本研究旨在使用扩增子测序数据来表征口腔微生物群的变化沿着龋坏,缺失,填充的牙齿(DMFT)index.Methods:扩增子测序的16 S rRNA基因的V6-V8区域的DNA从整个未刺激的唾液中回收的59 HIV阳性和29 HIV阴性个体,分别进行。使用QIIME-2,Phyloseq,Microbiome-1.9.2和Metacoder in R.结果:从获得的总共260万个高质量序列读数中,我们将口腔微生物菌群分为2,093个操作分类单位(OTU),21门和239属。虽然口腔微生物群没有将参与者聚类到跟踪DMFT指数的不同组中,但我们观察到以下情况:a)辅助微生物群稳定增加,而核心大小(约50%的丰富度)保持稳定。B)核心属如口杆菌属、消化链霉菌属和弯曲杆菌属的丰度在病理学开始时增加(低DMFT)。c)口腔微生物生物量的普遍增加,牙龈炎和牙周炎之间具有典型的对数差异。d)病理(低DMFT)的发生与口腔微生物entropy.Conclusions的大量减少相关:虽然口腔微生物的变化沿着DMFT指数并不明显,但我们已经证明了微生物群动态告知口腔疾病特征的潜在效用。因此,我们提出了一个框架,为未来的临床口腔宏基因组研究,特别是在资源有限的设置艾滋病毒阳性的人。
Background: Oral disease pathogenesis is primarily driven by microbial dysbiosis although diagnosis is routinely macroscopic. To improve early detection especially in HIV patients who are disproportionately affected, there is need to reconcile macroscopic and microscopic characteristics of disease. This study aimed to use amplicon sequencing data to characterize oral microbiota changes along the decayed, missing, filled teeth (DMFT) index.Methods: Amplicon sequencing of the V6-V8 region of the 16S rRNA gene was done on DNA recovered from whole unstimulated saliva of 59 HIV positive and 29 HIV negative individuals, respectively. The microbial structure, composition and co-occurrence networks were characterized using QIIME-2, Phyloseq, Microbiome-1.9.2 and Metacoder in R.Results: From a total of 2.6 million high quality sequence reads obtained, we characterized the oral microbiota into 2,093 operational taxonomic units (OTUs), 21 phyla and 239 genera. While oral microbiota did not cluster participants into distinct groups that track with the DMFT index, we observed the following: a) A steady increase in accessory microbiota while the core size (~50% of richness) remained stable. b) The abundance of core genera such as Stomatobaculum, Peptostreptococcus and Campylobacter increased at onset of pathology (low DMFT), c) A general increase in oral microbial biomass with a typical log difference between gingivitis and periodontitis. d) The onset of pathology (low DMFT) was associated with massive reduction in oral microbial entropy.Conclusions: Although oral microbial shifts along the DMFT index are not distinct, we have demonstrated the potential utility of microbiota dynamics to inform oral disease characteristics. We therefore propose a framework to inform future clinical oral metagenomic studies especially among HIV positive persons in resource limited settings.