Identifying candidate gut microbiota indicators for Alzheimer’s disease through integrated data

This study characterized the gut microbiota of Alzheimer's disease (AD) patients and identified candidate indicators for AD diagnosis using a large, multi-population data set. The AD dementia group consistently showed lower α-diversity and a sparser microbiota interaction network than the other groups. We identified 35 bacterial genera as candidate indicators for AD, including first-time reports of <i>RF39</i> and <i>Oligella</i>. <i>Faecalibacterium</i> was the most important candidate indicator in the overall population, <i>Akkermansia</i> in the Chinese population, <i>Collinsella</i> in the "Turkish and Kazakh" population, and <i>Actinomyces</i> in the "American and Canadian" population. These findings provide a valuable reference for selecting biomarkers for different application scenarios.