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Gut Microbiota Composition and Plasma Metabolomic Profile Are Associated with Amyloid Pathology and Cognitive
Marina Mora-Ortiz1,2,3,4, Magdalena P Cardelo1,2,3, Esther Porras-Pérez1,2,3
1Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Background/Objectives:
The gut-brain axis and systemic metabolic dysregulation are increasingly implicated in Alzheimer's disease (AD) pathogenesis. This study aimed to characterize gut microbiota and plasma metabolomic profiles associated with amyloid pathology and cognitive impairment in patients with mild cognitive impairment (MCI).
Methods:
A cross-sectional multi-omics baseline analysis was performed in 47 MCI patients enrolled in a randomized, double-blind, crossover dietary intervention trial (NCT05029765). Gut microbiota composition was assessed by 16S rRNA sequencing (n = 47), and plasma metabolomics by untargeted LC-MS/MS (n = 45 after exclusion of two PCA-defined metabolomic outliers). Patients were stratified according to plasma amyloid-beta 42/40 ratio (BA42/40) and ADAScog11 score, representing complementary biomarkers of amyloid burden and cognitive impairment, respectively.
Results:
Higher amyloid burden and worse cognitive performance were associated with significant gut microbiota alterations, including increased alpha diversity and distinct beta diversity profiles. Differential abundance analyses consistently showed enrichment of Bacteroides-associated taxa and Akkermansia, alongside depletion of short-chain fatty acid-producing genera such as Faecalibacterium, Blautia, and Phascolarctobacterium. Plasma metabolomics identified a coherent signature associated with elevated BA42/40, characterized by accumulation of secondary bile acid sulfates and depletion of sphingolipids, neuroactive steroids, and anti-inflammatory lipid mediators, including pregnenolone sulfate, resolvin E1, and anandamide. A valid OPLS-DA discriminant model was obtained for BA42/40, whereas no predictive model was achieved for ADAScog11. Critically, this dissociation, characterized by significant microbiota differences but no metabolomic separation for ADAScog11, is itself an informative finding, suggesting that gut microbiota dysbiosis and plasma metabolomic alterations are not equally coupled to both dimensions of MCI pathophysiology.
Conclusions:
MCI patients with greater amyloid pathology and cognitive impairment exhibited gut microbiota dysbiosis. However, metabolic associations were observed only for BA42/40, but not for ADAScog11. These findings provide a mechanistic framework for evaluating the impact of Mediterranean diet and probiotic interventions in the longitudinal phase of the trial.
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