Based on the high-quality Parkinson's disease cohort population and biological sample database in the early stage of the team, multi-dimensional intelligent wearable device technology and machine learning were used to screen and classify digital biomarkers in the prodromal PD cohort, early PD cohort and healthy population cohort. Using peptide nanoprobes, metabolomics and Simoa technology to find the pathological molecular biomarkers of high-purity blood neurogenic exosomes in the prodromal stage of PD cohort, early PD cohort and healthy population cohort, and conduct classification and combination study. The association analysis was used to explore the specific internal relationship between digital biomarkers and neurogenic exosome molecular biomarkers, to explore the potential relationship between the two types of biomarkers, and to further apply machine learning methods to establish a fusion model for early diagnosis of PD including markers related to digital phenotype and pathological molecular mechanism, and to verify it clinically. The research results of this project are expected to bring new strategies for the early diagnosis of PD biomarkers, provide theoretical support for clinical transformation, and have important clinical significance for achieving the goal of early diagnosis and early treatment.
Study Type
OBSERVATIONAL
Enrollment
700
Department of Neurology, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital
Fuzhou, Fujian, China
RECRUITINGMini-mental State Examination
Mini-Mental State Examination (MMSE) is a 30-item cognitive screening tool assessing orientation, memory, attention, calculation, and language, with total scores ranging from 0 to 30. Higher scores indicate better cognitive function. Scores ≥27 generally indicate normal cognition, while lower scores suggest varying degrees of impairment, with cutoffs adjusted for education and age.
Time frame: baseline
Montreal Cognitive Assessment
Montreal Cognitive Assessment (MoCA) is a 10-15 minute screening tool covering 8 cognitive domains through 12 tasks, with total scores ranging from 0 to 30. Higher scores indicate better cognitive function. Scores ≥26 are generally considered normal, with a 1-point adjustment for education ≤12 years; scores \<26 suggest possible cognitive impairment.
Time frame: baseline
The 39-Item Parkinson's Disease Questionnaire
Non-Motor Symptoms Scale (NMSS) assesses frequency and severity of non-motor symptoms across all stages of Parkinson's disease, covering autonomic, affective, cognitive, sleep, and other domains. Total scores range from 0 to 360. Higher scores indicate worse outcome (greater symptom burden).
Time frame: baseline
Hamilton Depression Rating Scale
Hamilton Depression Rating Scale (HAM-D) is a clinician-rated instrument assessing depression severity across multiple dimensions including mood, somatic symptoms, anxiety, and sleep disturbance. The 17-item version (HAM-D17) yields total scores ranging from 0 to 52. Higher scores indicate worse outcome (greater depressive symptom severity), with scores ≥23 indicating very severe depression.
Time frame: baseline
hoehn-yahr stage
Hoehn and Yahr Scale (HY) is a clinician-rated instrument assessing clinical severity and disease staging in Parkinson's disease. Staging ranges from 0 (no symptoms) to 5 (severe disability requiring full dependence). Higher stages indicate worse outcome (more advanced disease with greater functional impairment), primarily based on postural instability and disability.
Time frame: baseline
Movement Disorder Society-Sponsored Revision Of The Unified Parkinson's Disease Rating Scale
Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) is a comprehensive instrument assessing Parkinson's disease across four parts: non-motor symptoms, activities of daily living, motor symptoms, and complications. Total scores range from 0 to 260 (Part I: 0-52, Part II: 0-52, Part III: 0-132, Part IV: 0-24). Higher scores indicate worse outcome (greater impairment).
Time frame: baseline
Wearable devices measure gait parameters
Wearable Device System (GYENNO MATRIX) is a 10-sensor system sampling at 100 Hz to capture 3D angular velocity, acceleration, and geomagnetic field data. It extracts gait parameters (step length, stride, gait cycle) and detects postural transitions (standing, sitting, turning).
Time frame: baseline
Sniffin' Sticks 12
Sniffin' Sticks 12 (SS-12) is a brief olfactory screening test assessing odor identification ability using 12 pen-like odor pens. Total scores range from 0 to 12, based on the number of correctly identified odors. Higher scores indicate better outcome (superior olfactory function). It is widely used for early Parkinson's disease screening and cognitive disorder assessment.
Time frame: baseline
REM sleep behavior disorderscreening questionnaire
REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ) is a 10-item self-rated scale screening for REM sleep behavior disorder, covering dream content, dream-enactment behaviors, injuries, and neurological conditions. Total scores range from 0 to 13. Higher scores indicate worse outcome (greater likelihood of abnormality), with scores ≥5 considered abnormal.
Time frame: baseline
Parkinson's disease sleep scale
Parkinson's Disease Sleep Scale (PDSS) is a 15-item scale assessing sleep disturbances in Parkinson's disease, covering nighttime quality, sleep onset, maintenance, limb discomfort, dreaming, hallucinations, nocturia, and daytime sleepiness. Total scores range from 0 to 150 (0-10 per item). Higher scores indicate better outcome (fewer or less severe sleep problems).
Time frame: baseline
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