Alzheimer's is a progressive neurodegenerative disorder affecting memory and reasoning.
Previous research shows gut bacteria changes occur in Alzheimer's patients.
Researchers used AI, genetics, and multi-omics analysis to explore gut bacteria metabolite interactions with human receptors.
Machine learning analyzed over a million metabolite-receptor pairs to predict interactions relevant to Alzheimer's.
The study identified G-protein-coupled receptors (GPCRs) that interact with gut bacteria metabolites.
The research highlighted phenethylamine and agmatine for their effects on tau proteins, a key marker of Alzheimer's progression.
Combining AI, genetics, and experimental validation strengthened the study's findings.
The study lays the groundwork for future research to validate findings in living organisms.