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Gut microbiota dysbiosis in patients with Alzheimer's disease and correlation with multiple cognitive domains.
Gut microbiota dysbiosis in patients with Alzheimer's disease and correlation with multiple cognitive domains.
- Source :
- Frontiers in Aging Neuroscience; 2024, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Background: Accumulating evidence suggested that Alzheimer's disease (AD) was associated with altered gut microbiota. However, the relationships between gut microbiota and specific cognitive domains of AD patients have yet been fully elucidated. The aim of this study was to explore microbial signatures associated with global cognition and specific cognitive domains in AD patients and to determine their predictive value as biomarkers. Methods: A total of 64 subjects (18 mild AD, 23 severe AD and 23 healthy control) were recruited in the study. 16 s rDNA sequencing was performed for the gut bacteria composition, followed by liquid chromatography electrospray ionization tandem mass spectrometry (LC/MS/MS) analysis of short-chain fatty acids (SCFAs). The global cognition, specific cognitive domains (abstraction, orientation, attention, language, etc.) and severity of cognitive impairment, were evaluated by Montreal Cognitive Assessment (MoCA) scores. We further identified characteristic bacteria and SCFAs, and receiver operating characteristic (ROC) curve was used to determine the predictive value. Results: Our results showed that the microbiota dysbiosis index was significantly higher in the severe and mild AD patients compared to the healthy control (HC). Linear discriminant analysis (LDA) showed that 12 families and 17 genera were identified as key microbiota among three groups. The abundance of Butyricicoccus was positively associated with abstraction, and the abundance of Lachnospiraceae_UCG-004 was positively associated with attention, language, orientation in AD patients. Moreover, the levels of isobutyric acid and isovaleric acid were both significantly negatively correlated with abstraction, and level of propanoic acid was significantly positively associated with the attention. In addition, ROC models based on the characteristic bacteria Lactobacillus , Butyricicoccus and Lachnospiraceae_UCG-004 could effectively distinguished between low and high orientation in AD patients (area under curve is 0.891), and Butyricicoccus and Agathobacter or the combination of SCFAs could distinguish abstraction in AD patients (area under curve is 0.797 and 0.839 respectively). Conclusion: These findings revealed the signatures gut bacteria and metabolite SCFAs of AD patients and demonstrated the correlations between theses characteristic bacteria and SCFAs and specific cognitive domains, highlighting their potential value in early detection, monitoring, and intervention strategies for AD patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- ALZHEIMER'S disease treatment
ALZHEIMER'S disease diagnosis
PREDICTIVE tests
LANGUAGE & languages
ALZHEIMER'S disease
RESEARCH funding
SHORT-chain fatty acids
RECEIVER operating characteristic curves
PROPIONATES
EARLY medical intervention
DATA analysis
GUT microbiome
DNA
DESCRIPTIVE statistics
MANN Whitney U Test
METABOLITES
ATTENTION
LIQUID chromatography
ELECTROSPRAY ionization mass spectrometry
COGNITION disorders
LACTOBACILLUS
STATISTICS
PATHOGENESIS
BUTYRIC acid
EARLY diagnosis
CONFIDENCE intervals
COGNITION
BIOMARKERS
DISCRIMINANT analysis
Subjects
Details
- Language :
- English
- ISSN :
- 16634365
- Database :
- Complementary Index
- Journal :
- Frontiers in Aging Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 181566240
- Full Text :
- https://doi.org/10.3389/fnagi.2024.1478557