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ID06837272

Study on How Gut Microbiome Affects Brain Health in Alzheimers Disease from Normal Cognition to Dementia

Led by Jining Medical University · Updated on 2025-02-20

285

Participants Needed

1

Research Sites

156 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are investigating the relationship between gut microbiota dysfunction and Alzheimers disease AD, focusing on how gut-derived short-chain fatty acids SCFAs may influence brain function through the gut microbiota-SCFAs-brain networks pathway. This observational study will explore differences in SCFAs among people across the AD spectrum, including cognitively normal individuals, those with subjective cognitive decline SCD, mild cognitive impairment MCI, and AD dementia. The project aims to clarify the interactions between gut microbiome, metabolites, and brain changes using high-throughput metabolomics and multi-modal MRI techniques. Participants will be grouped into four categories cognitively normal, SCD, MCI, and AD dementia. The study involves collecting multi-omics data, including gut microbiome analysis, metabolomics, and neuroimaging, to establish a diagnostic model for SCD due to preclinical AD using machine learning methods. The study spans five years, during which gut microbiome changes, SCFAs levels, and multi-omics biomarkers related to cognitive impairment conversion will be monitored. Participants will undergo cognitive tests and brain imaging scans, along with gut microbiome and metabolite sample collection. Researchers will assess the interaction mechanisms of the gut microbiota-SCFAs-brain networks over five years. The study includes both healthy volunteers and patients aged 60 to 80. Outcome measures focus on changes in gut microbiome, SCFAs, and biomarkers linked to cognitive decline, with long-term follow-up to better understand the disease progression and its early detection.

CONDITIONS

Brief Title

A Longitudinal Study to Explore the Impact of Gut Microbiome on Brain Health in Alzheimer's Disease

Research Team

C

Can Sheng, PhD

Y

Yun Guo, Master

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