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Gut Microbiota Composition Is Related to AD Pathology
Barbara J H Verhaar1,2,3, Heleen M A Hendriksen3, Francisca A de Leeuw3
1Department of Internal Medicine - Geriatrics, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands.
Introduction:
Several studies have reported alterations in gut microbiota composition of Alzheimer's disease (AD) patients. However, the observed differences are not consistent across studies. We aimed to investigate associations between gut microbiota composition and AD biomarkers using machine learning models in patients with AD dementia, mild cognitive impairment (MCI) and subjective cognitive decline (SCD).
Materials And Methods:
We included 170 patients from the Amsterdam Dementia Cohort, comprising 33 with AD dementia (66 ± 8 years, 46%F, mini-mental state examination (MMSE) 21[19-24]), 21 with MCI (64 ± 8 years, 43%F, MMSE 27[25-29]) and 116 with SCD (62 ± 8 years, 44%F, MMSE 29[28-30]). Fecal samples were collected and gut microbiome composition was determined using 16S rRNA sequencing. Biomarkers of AD included cerebrospinal fluid (CSF) amyloid-beta 1-42 (amyloid) and phosphorylated tau (p-tau), and MRI visual scores (medial temporal atrophy, global cortical atrophy, white matter hyperintensities). Associations between gut microbiota composition and dichotomized AD biomarkers were assessed with machine learning classification models. The two models with the highest area under the curve (AUC) were selected for logistic regression, to assess associations between the 20 best predicting microbes and the outcome measures from these machine learning models while adjusting for age, sex, BMI, diabetes, medication use, and MMSE.
Results:
The machine learning prediction for amyloid and p-tau from microbiota composition performed best with AUCs of 0.64 and 0.63. Highest ranked microbes included several short chain fatty acid (SCFA)-producing species. Higher abundance of [Clostridium] leptum and lower abundance of [Eubacterium] ventriosum group spp., Lachnospiraceae spp., Marvinbryantia spp., Monoglobus spp., [Ruminococcus] torques group spp., Roseburia hominis, and Christensenellaceae R-7 spp., was associated with higher odds of amyloid positivity. We found associations between lower abundance of Lachnospiraceae spp., Lachnoclostridium spp., Roseburia hominis and Bilophila wadsworthia and higher odds of positive p-tau status.
Conclusions:
Gut microbiota composition was associated with amyloid and p-tau status. We extend on recent studies that observed associations between SCFA levels and AD CSF biomarkers by showing that lower abundances of SCFA-producing microbes were associated with higher odds of positive amyloid and p-tau status.
Insights
Gut bacteria composition links to Alzheimer's disease (AD) biomarkers. Lower levels of short-chain fatty acid (SCFA)-producing microbes correlate with higher odds of amyloid and phosphorylated tau positivity in AD patients.
Area of Science:
- Microbiome research
- Neurodegenerative disease biomarkers
- Machine learning in medicine
Background:
- Inconsistent findings exist regarding gut microbiota alterations in Alzheimer's disease (AD).
- Investigating the link between gut microbiome and AD biomarkers is crucial for understanding disease mechanisms.
Purpose of the Study:
- To explore associations between gut microbiota composition and AD biomarkers (amyloid and p-tau).
- To utilize machine learning models to identify microbial signatures related to AD pathology in patients with AD dementia, mild cognitive impairment (MCI), and subjective cognitive decline (SCD).
Main Methods:
- 170 participants (AD dementia, MCI, SCD) from the Amsterdam Dementia Cohort.
- 16S rRNA sequencing for gut microbiome analysis.
- Machine learning classification models to assess associations between microbiota and CSF amyloid-beta 1-42, p-tau, and MRI visual scores.
Main Results:
- Machine learning models achieved AUCs of 0.64 for amyloid and 0.63 for p-tau prediction from microbiota.
- Specific microbes, including SCFA-producing species, were significantly associated with amyloid and p-tau positivity.
- Lower abundance of SCFA-producing microbes like *Lachnospiraceae* spp. and *Roseburia hominis* was linked to increased odds of amyloid and p-tau positivity.
Conclusions:
- Gut microbiota composition is significantly associated with amyloid and p-tau status in individuals with cognitive decline.
- Reduced abundance of SCFA-producing microbes may increase the risk or indicate the presence of AD pathology.
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