ArticlemSystems2026
Identifying candidate gut microbiota indicators for Alzheimer's disease through integrated data.
Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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13 authors.
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Abstract
Alzheimer's disease (AD) is associated with the gut microbiota, and identifying reliable gut microbiota biomarkers enhances AD diagnosis. We aim to characterize the gut microbiota in AD patients by integrating data from multiple populations and identifying key candidate gut microbiota indicators with diagnostic value for AD. Public data from studies on AD and gut microbiota were collected, including participants from AD dementia, mild cognitive impairment (MCI), and normal control (NC) groups. Microbiota composition, diversity, and network analyses were used to characterize the gut microbiota of the three groups. Differential bacterial genera identified simultaneously by seven common methods served as candidate indicators. The study included 799 AD dementia, 170 MCI, and 731 NC participants. The AD dementia group demonstrated a lower relative abundance of IMPORTANCE: 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
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