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| Name | Class |
|---|---|
| Xuanwu Hospital, Beijing | OTHER |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cognitively normal group | (1) normal performance on standardized cognitive tests; (2) with no cognitive complaints or any concerns (worries). | ||
| Subjective cognitive decline (SCD) group | (1) self-experienced persistent decline in memory, rather than other domains of cognition; (2) normal performance on standardized cognitive tests; (3) failure to meet the criteria for MCI or dementia; (4) age at onset of SCD ≥ 60 years old; (5) onset of SCD within the last 5 years; (6) concerns (worries) associated with SCD; (7) feeling of worse performance than others of the same age group. |
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| Mild cognitive impairment (MCI) group | (1) having impaired scores on both measures in at least one cognitive domain (memory, language, or speed/executive function); (2) having impaired scores in each of the three cognitive domains (memory, language, or speed/executive function); (3) the Functional Activities Questionnaire (FAQ)≥9. | ||
| AD dementia group | (1) meet the criteria for dementia and have impaired daily functional activities; (2) episodic memory deficit; 3) Clinical Dementia Rating (CDR) ≥ 1. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Multi-omics features extraction | Diagnostic Test | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| The 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. | 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. | 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. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| 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". | 5 years |
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Inclusion Criteria:
Cognitively normal group:
SCD group:
MCI group:
AD dementia group:
Exclusion Criteria:
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Volunteers recruited from both clinical and communities, and signed up with informed consent.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Can Sheng, PhD | Contact | 86-18701257298 | canyeweiwu2013@163.com | |
| Yun Guo, Master | Contact | 86-18863030588 | yun125985@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Can Sheng, PhD | Affiliated Hospital of Jining Medical University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Neurolgy, the Affiliated Hospital of Jining Medical University | Recruiting | Jining | Shandong | 272029 | China |
The information of neuropsychological tests, and other clinical data are to be shared with other researchers.
When summary data are published or starting 12 months after publication.
When summary data are published or starting 12 months after publication.
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| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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In this project, the investigators will test ApoE genotype.
| D024801 |
| Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |