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This is an observational study to explore the etiology and clinical classification in patients with obesity and to achieve personalized treatment.
In this project, individuals with obesity and control individuals were recruited and followed up every year. Clinical neuropsychological scores, olfactory function tests, and functional magnetic resonance imaging (fmri) were performed to describe the brain function characteristics under different odor stimulation in fasting and after eating, and to explore the pathogenesis and clinical classification of obese patients. The correlation analysis between imaging analysis values and clinical laboratory data, neuropsychological scores and olfactory behavior scores was performed to explore indicators related to cognitive decline and provide new insights into the etiology and classification of obese patients. Combined with clinical evaluation and imaging examination, the changes of cognitive behavior and brain structure and function in obese patients were followed up.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Naturalistic observation | Other | Naturalistic observation |
| Measure | Description | Time Frame |
|---|---|---|
| Brain imaging features in patients with obesity by fMRI | total brain volume, grey matter volume, white matter volume,cerebrospinal fluid volume, and nuclear bulk volume by MRI-derived normalized measures. All patients underwent odor-induced task fMRI on a 3.0T MR scanner with 222 volumes for task fMRI and 230 volumes for resting-state fMRI. | From 2024 to 2028 |
| Biomarkers of patients with obesity by blood sample | Diagnostic biomarkers, predictive biomarkers, and prognostic biomarker in patients with obesity by blood sample | From 2024 to 2028 |
| Clinical classification of patients with obesity | Based on the exploration of the unique brain imaging and biomarkers in patients with obesity, the clinical classification of obese patients was carried out. | From 2024 to 2028 |
| Prevention and intervention strategies for obesity based on clinical classification | According to the clinical classification of obesity investigated in our previous study, personalized prevention and treatment strategies are designed to effectively slow down or reverse the obesity disease. | From 2024 to 2028 |
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Inclusion Criteria:
Exclusion Criteria:
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This study is a dynamic prospective cohort study.
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| Name | Affiliation | Role |
|---|---|---|
| Yan Bi, M.D., Ph.D. | Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University | Nanjing | Jiangsu | 210008 | China |
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| ID | Term |
|---|---|
| D009765 | Obesity |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| D064887 | Observational Studies as Topic |
| ID | Term |
|---|---|
| D000068456 | Clinical Studies as Topic |
| D016020 | Epidemiologic Study Characteristics |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
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DNA and mRNA
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |