This is a prospective cohort study of patients with cognitive impairment mood disorders and behavioral disorders. Comprehensive baseline and longitudinal follow-up assessments include clinical and epidemiological data, cognitive function and neuropsychological assessments, laboratory measurements, and neuroimaging data, along with the collection of blood, urine, feces, and cerebrospinal fluid for biobanking. Multi-omics, multidimensional cognitive assessments, and multimodal neuroimaging data are integrated using statistical analyses to establish a comprehensive clinical database and biobank. The study aims to identify risk factors, elucidate mechanisms underlying the comorbidity of cognitive impairment and mood disorders, discover multimodal biomarkers, and improve early screening, risk prediction, and diagnosis
We conducted a prospective cohort study involving patients with cognitive impairment、 mood disorders and behavioral disorders .To address the challenges in the early diagnosis and intervention, comprehensive baseline assessments were conducted, including the collection of clinical and epidemiological data, cognitive function and neuropsychological assessments, laboratory measurements, and neuroimaging data. In addition, biological specimens, including blood, urine, feces, and cerebrospinal fluid, were collected and stored in a biobank for subsequent laboratory analyses. We followed participants longitudinally and repeated the comprehensive assessments at scheduled visits.. By integrating multi-omics platforms, multidimensional cognitive assessments, and multimodal neuroimaging analyses, together with statistical approaches including the chi-square test, analysis of variance (ANOVA), and logistic regression, a multidimensional cognitive impairment and affective cohort as well as a comprehensive clinical database and biobank were established. The ultimate objective is to identify risk factors for cognitive impairment and mood disorder spectrum diseases, elucidate the biological mechanisms underlying their comorbidity, identify multimodal biomarkers, and develop robust approaches for the early screening, risk prediction, and diagnosis of these disorders.
Study Type
OBSERVATIONAL
Enrollment
3,000
Xuanwu Hospital
Beijing, China
Mini-Mental State Examination (MMSE)
The Mini-Mental State Examination (MMSE) is a standardized cognitive screening instrument used to assess global cognitive function, including orientation, registration, attention and calculation, recall, and language. Higher scores indicate better overall cognitive performance.
Time frame: Baseline, 1 years, 2years，3years and 4years
Montreal Cognitive Assessment
The Montreal Cognitive Assessment (MoCA) is a standardized cognitive screening instrument used to assess multiple cognitive domains, including visuospatial and executive functions, naming, memory, attention, language, abstraction, and orientation. Higher scores indicate better overall cognitive performance
Time frame: Baseline, 1 years, 2years，3years and 4years
Hamilton Depression Rating Scale
The Hamilton Depression Rating Scale (HAM-D) is a clinician-administered instrument used to assess the severity of depressive symptoms, including mood, somatic symptoms, sleep disturbances, and psychological symptoms. Higher scores indicate greater depressive symptom severity.
Time frame: Baseline, 1 years, 2years，3years and 4years
Hamilton Anxiety Rating Scale
The Hamilton Anxiety Rating Scale (HAM-A) is a clinician-administered instrument used to assess the severity of anxiety symptoms, including psychological and physical symptoms of anxiety. Higher scores indicate greater anxiety symptom severity.
Time frame: Baseline, 1 years, 2years，3years and 4years
Neuropsychiatric Inventory
The Neuropsychiatric Inventory (NPI) is a standardized instrument used to assess the presence, frequency, and severity of neuropsychiatric symptoms, including delusions, hallucinations, agitation, depression, anxiety, apathy, disinhibition, irritability, aberrant motor behavior, sleep disturbances, and appetite or eating abnormalities. Higher scores indicate greater neuropsychiatric symptom burden.
Time frame: Baseline, 1 years, 2years，3years and 4years
Change in Alzheimer's Disease-Related Protein Biomarkers
Alzheimer's disease-related protein biomarkers, including amyloid-beta (Aβ) and tau, are measured to assess pathological changes associated with Alzheimer's disease. These biomarkers include measures of amyloid-beta and tau pathology, with higher biomarker levels indicating greater biomarker burden when applicable
Time frame: Baseline, 1 years, 2years, 3years and 4 years
Change in Inflammatory Biomarkers
Inflammatory biomarkers, including interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and C-reactive protein (CRP), are measured to assess systemic inflammatory status. Higher levels generally indicate greater inflammatory activity.
Time frame: Baseline, 1 years, 2years，3years and 4years
Change in Structural MRI-Derived Neuroimaging Biomarkers
Structural magnetic resonance imaging (MRI)-derived neuroimaging biomarkers are used to assess brain structural characteristics, including regional brain volumes and measures of brain atrophy. These biomarkers are derived from standardized structural MRI analyses and are used to characterize longitudinal changes in brain structure.
Time frame: Baseline, 1 years, 2years，3years and 4years
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