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Editorial
.2018 Jun;66(6):464-471.
doi: 10.1111/lam.12882. Epub 2018 Apr 16.

Shifts in gut microbiota composition in an APP/PSS1 transgenic mouse model of Alzheimer's disease during lifespan

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Editorial

Shifts in gut microbiota composition in an APP/PSS1 transgenic mouse model of Alzheimer's disease during lifespan

C Bäuerl et al. Lett Appl Microbiol.2018 Jun.

Abstract

Alzheimer's disease (AD) is the most common form of dementia and one of the major causes of disability and dependency in older people. Accumulating evidences link gut microbiota with different diseases and its relationship with neurodegenerative diseases is becoming most intriguing. This study was aimed to compare the gut microbiota of transgenic APP/PS1 (TG) mice, a well-established deterministic mouse model of AD, with their C57BL/6 wild-type (WT) littermates. Faecal samples were collected from 3-, 6- and 24-month-old mice and analysed by pyrosequencing of the V1-V3 region of the bacterial 16S rRNA genes. Bacterial profiles were similar in all young mice (3 months old), and started to diverge so that 6-month-old WT and TG mice had different and more diverse microbiota. During ageing, Turicibacteriaceae (typical mice bacterial group) and Rikenellaceae increased in all groups, although total Bacteroidetes remained stable. TG mice were characterized by an increase in Proteobacteria after 6 months, particularly the genus Sutterella (Betaproteobacteria), interestingly also increased in autism disorder. Also, the inflammation related family Erysipelotrichaceae was more abundant in TG mice at 24 months compared to wild-type control. In summary, AD pathology in mice shifts the gut microbiota towards profiles that share features with autism and inflammatory disorders.

Significance and impact of the study: Alzheimer's disease is a neurodegenerative disease and neuroinflammation in the central nervous system appears to have a pivotal role. Using the transgenic APP/PS1 (TG) mouse model, we successfully characterized how AD pathology shifted gut microbiota composition during ageing towards an inflammation related bacterial profile related to Proteobacteria and Erysipelotrichaceae and suggest that these changes could contribute to disease progression and severity. Microbiota-targeted interventions could therefore represent a strategy to postpone disease symptoms.

Keywords: disease processes; indicators; intestinal microbiology; markers; microbial structure.

© 2018 The Society for Applied Microbiology.

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