失调
医学
疾病
口腔微生物群
微生物群
唾液
链球菌
免疫学
内科学
临床试验
肠道菌群
UniFrac公司
基因组
生物信息学
口腔健康
变形链球菌
病例对照研究
深度测序
混淆
作者
Christian Weber,Daniel Wind,Patrick Petzsch,Tillmann Supprian,Anna Bludau,Julia Christl,Patrick Finzer
标识
DOI:10.1186/s13195-025-01941-1
摘要
Abstract Background The oral microbiota has been associated with Alzheimer's disease (AD). However, earlier studies provided conflicting results using varying sampling methods, sequencing techniques, and statistics, as well as independent subjects. Methods To robustly identify disease-associated microbial features, we recruited patients and their healthy life partners from the same households sharing a more similar microbiota compared to independent individuals increasing statistical power via paired design and combined three different sequencing methods – including metagenomics—and several bioinformatic pipelines. We recruited 26 AD-patients and their life partners. Salivary and supragingival samples were collected and a clinical examination of the mouth was performed. Results Both groups showed comparable oral health. By focusing primarily on recurrently identified species across the different datasets we were able to identify a Core dysbiosis. This Core dysbiosis surprisingly spares the most central of oral diseases pathogens, namely Porphyromonas gingivalis . However, it includes numerous other species commonly associated with oral pathologies such as Prevotella nigrescens, Streptococcus anginosus, Dialister invisus, Anaeroglobus geminatus, Olsenella uli and Mogibacterium timidum . In contrast, more host-compatible species such as Prevotella melaninogenica or Streptococcus parasanguinis are identified in controls. Conclusions This is the first study using a combined sequencing approach and a paired study design to identify robust features of the oral microbiota of AD-patients. Although promising, the results should nevertheless be interpreted with caution, as the cross-sectional study design limits the possibilities of interpretation, and larger, longitudinal data are necessary for causal conclusions. However, this combined approach on multiple processing levels to identify intra-partnership differences still offers the possibility to better identify disease-associated microbial features potentially involved in AD-pathogenesis. Trial registration This study was prospectively registered at the German Clinical Trials Register (DRKS00023456) at the 30th of November 2020.
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