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A Multicenter Study Based on Multi-omics Analysis to Predict the Early Prognosis and Recurrence Risk of Acute Ischemic Stroke
Sponsor: Nanfang Hospital, Southern Medical University
Summary
Through a multicenter prospective AIS cohort study, we analyze the potential association of human proteome, microbiome and metabolome alterations with AIS prognosis, searching for key proteins, differential organisms and metabolites, combining experimental data at multiple molecular levels with computational models, and establishing early prediction models through machine learning-based prediction algorithms. While closely tracking the recurrence of stroke in AIS patients, we evaluate the predictive value of human proteome, microbiome and metabolites for stroke recurrence through a nested case-control study, which provides key reference information for exploring the unknown residual risk of AIS recurrence.
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2024-01-30
Completion Date
2028-12-31
Last Updated
2024-09-05
Healthy Volunteers
Not specified
Conditions
Interventions
microbiome; metabolomics; proteomics
post-stroke change of microbiome; metabolomics; proteomics
Locations (1)
Nanfang Hospital,Southern Medical University
Guangzhou, Guangdong, China