Researchers have also linked metabolites to a range of other conditions including heart disease, infertility, cancers, autoimmune disorders, and allergies
Summary: Researchers are pioneering the use of artificial intelligence to explore how the gut microbiome influences Alzheimer’s disease. Their latest study employs AI to analyze how metabolites produced by gut bacteria interact with cellular receptors, potentially contributing to Alzheimer’s development.
This research identifies key metabolite-receptor pairs and tests their effects on neurons affected by Alzheimer’s, demonstrating protective effects of specific metabolites like agmatine. The findings open new avenues for understanding and potentially treating Alzheimer’s and other diseases influenced by gut microbiome interactions.
Key Facts:
- The study utilized AI to evaluate over 1.09 million potential interactions between metabolites and cellular receptors, pinpointing those most likely to influence Alzheimer’s disease.
- Key findings include the identification of agmatine, a metabolite that interacts with the CA3R receptor and shows potential protective effects against Alzheimer’s-related brain inflammation and damage.
- This research underscores the broader implications of metabolite-receptor interactions, suggesting they play a role in various diseases and could lead to novel therapeutic approaches.
Cleveland Clinic researchers are using artificial intelligence to uncover the link between the gut microbiome and Alzheimer’s disease.
Previous studies showed that Alzheimer’s disease patients have changes in their gut bacteria as the disease develops.
The newly published Cell Reports study outlines a computational method to determine how bacterial byproducts called metabolites interact with receptors on cells and contribute to Alzheimer’s disease.
Feixiong Cheng, PhD, inaugural director of the Cleveland Clinic Genome Center worked in close collaboration with the Luo Ruvo Center for Brain Health and the Center for Microbiome and Human Health (CMHH).
The study ranks metabolites and receptors by the likelihood they will interact with each other, and the likelihood that the pair will influence Alzheimer’s disease.
The data provides one of the most comprehensive roadmaps to studying metabolite-associated diseases to date.
Bacteria release metabolites into our systems as they break down the food we eat for energy. The metabolites then interact with and influence cells, fueling cellular processes that can be helpful or detrimental to health.
In addition to Alzheimer’s disease, researchers have connected metabolites to heart disease, infertility, cancers and autoimmune disorders and allergies.
Preventing harmful interactions between metabolites and our cells could help fight disease. Researchers are working to develop drugs to activate or block metabolites from connecting with receptors on the cell surface.
Progress with this approach is slow because of the sheer amount of information needed to identify a target receptor.
“Gut metabolites are the key to many physiological processes in our bodies, and for every key there is a lock for human health and disease,” said Dr. Cheng, Staff in Genomic Medicine.
“The problem is that we have tens of thousands of receptors and thousands of metabolites in our system, so manually figuring out which key goes into which lock has been slow and costly. That’s why we decided to use AI.”