A Multicenter Study Based on Multi-omics Analysis to Predict the Early Prognosis and Recurrence Risk of Acute Ischemic Stroke
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…
Conditions studied
Ischemic Stroke, Acute
About this study
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.
Interventions
- Other: microbiome; metabolomics; proteomics — post-stroke change of microbiome; metabolomics; proteomics
Primary outcomes
- Incidence of new cardiovascular events and death (within 12 months after onset)
Eligibility information
Study locations
- Nanfang Hospital,Southern Medical University, Guangzhou, Guangdong 510515 China
Source: ClinicalTrials.gov. Record last refreshed by Varda Clinical: 2026-09-27.