Gut microbiota dysfunction is associated with Alzheimer's disease (AD). However, the potential modulatory mechanism remains unclear. Previous studies have shown that gut-derived metabolites short-chain fatty acids (SCFAs) may be the key mediators between gut microbiota and brain, participating in the modulatory pathway "gut microbiota-SCFAs-brain networks". In this project, high-throughput targeted metabolomics technique will be used to explore the differences of SCFAs in the spectrum of AD, including cognitively normal individuals, subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD dementia. Then, the gut microbiome and multi-modal MRI techniques will be combined to elucidate potential interaction mechanisms of "gut microbiota-SCFAs-brain networks". Finally, based on multi-omics features extracted from gut microbiome, metabolomics, and neuroimaging after five years, the diagnostic model of SCD due to preclinical AD will be established using machine learning methods.
Study Type
OBSERVATIONAL
Enrollment
285
Based on multi-omics features extracted from clinical data, gut microbiome, metabolomics, and multi-modal MRI, the diagnostic model of SCD due to preclinical AD will be established.
Department of Neurolgy, the Affiliated Hospital of Jining Medical University
Jining, Shandong, China
RECRUITINGThe changes of gut microbiome in the spectrum of AD
Using the 16S rRNA Illumina Miseq sequencing technique, the diversity and compositions of gut microbiome will be compared in different stages of AD, including cognitively normal individuals, SCD, MCI and AD dementia.
Time frame: 5 year
The changes of SCFAs in the spectrum of AD
Using the high-throughput target metabolomics technique, SCFAs will be compared in different stages of AD, including cognitively normal individuals, SCD, MCI and AD dementia.
Time frame: 5 year
Multi-omics biomarkers associated with conversion to cognitive impairment for SCD subjects
SCD subjects will be followed for five years. The investigators aim to characterize those who convert to MCI or AD dementia during the follow-up, and further find the multi-omics features associated with the progression of AD. Based on multi-omics features extracted from clinical data, gut microbiome, metabolomics, and multi-modal MRI, the diagnostic model of SCD due to preclinical AD will be established.
Time frame: 5 years
The interaction mechanisms of "gut microbiota-SCFAs-brain networks"
The gut microbiome, SCFAs and multi-modal MRI techniques will be combined to elucidate potential interaction mechanisms of "gut microbiota-SCFAs-brain networks".
Time frame: 5 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.