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Published on: January 6, 2011
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The interplay between cytokines and stroke: a bi-directional Mendelian randomization study.
Yingying Jiang1, Qingying Liu2, Chunyang Wang1
1Department of Neuropharmacology, Beijing Neurosurgical Institute, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Scientific Reports
|July 31, 2024
Summary
This study used Mendelian randomization to link specific inflammatory cytokines to stroke risk and outcomes. Findings identify potential biomarkers for predicting and treating stroke, including C-reactive protein and vascular endothelial growth factor.
Area of Science:
- Neuroscience
- Genetics
- Immunology
Background:
- Stroke is a leading cause of death and disability, with secondary inflammation exacerbating brain damage.
- The causal links between inflammatory cytokines and different stroke subtypes remain unclear.
Purpose of the Study:
- To investigate the causal relationships between circulating cytokines and stroke subtypes using a two-sample bi-directional Mendelian randomization (MR) analysis.
- To identify potential cytokine biomarkers for stroke risk prediction and treatment.
Main Methods:
- Performed forward MR analysis examining 31 cytokines and 6 stroke subtypes.
- Conducted reverse MR analysis investigating 6 stroke subtypes and 31 cytokines.
- Utilized large-scale genetic association data from publicly available Genome-Wide Association Study (GWAS) databases.
Main Results:
- Forward MR: 21 cytokines significantly associated with stroke subtype risk.
- Reverse MR: 5 stroke subtypes (ICH, LAAS, LS, CEI, SV) significantly altered 16 cytokines.
- Key associations found with C-reactive protein (CRP), vascular endothelial growth factor (VEGF), and fibroblast growth factor (FGF).
- Identified IL-3Rα, IL-6R, IL-6Rα, IL-1Ra, IGF-1, IL-12Rβ2 as potential predictors for specific stroke subtypes.
- IL-16 and CCR7 identified as prognostic factors for stroke.
Conclusions:
- Established genetic evidence for causal links between specific cytokines and stroke subtypes.
- Identified novel cytokine biomarkers for stroke risk prediction and prognosis.
- Highlights potential therapeutic targets for stroke intervention through cytokine modulation.
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