Assessing the Causal Relationships Between Lipid Species and Stroke by Using Mendelian Randomization

Area of Science:

• Cardiovascular Genetics
• Metabolomics
• Neurology

Background:

• Lipid profiles are linked to stroke risk, but direct causal relationships are not fully understood.
• Understanding these links is crucial for developing effective stroke prevention and treatment strategies.

Purpose of the Study:

• To investigate the causal associations between circulating lipid species and various stroke phenotypes.
• To identify specific lipids that may play a role in stroke pathogenesis.

Main Methods:

• A two-sample Mendelian randomization analysis was employed using genome-wide association study data.
• Inverse variance weighting (IVW) was the primary analytical method, supported by MR-Egger, weighted median, and weighted mode methods.
• Sensitivity analyses including MR-Egger, MR-PRESSO, and Cochran's Q statistics were performed for result validation.

Main Results:

• An initial 133 pairs of lipids showed potential causal links with stroke types (P < 0.05).
• After stringent multiple testing correction (PFDR < 0.05), 10 lipid-stroke pairs remained significant.
• These included associations between specific sterol esters and phosphatidylcholines with different stroke subtypes.

Conclusions:

• Genetically determined lipid profiles significantly contribute to the pathogenesis of stroke.
• Specific lipid species, such as certain sterol esters and phosphatidylcholines, are implicated in stroke development.
• Further investigation is warranted to explore the clinical utility of these lipid biomarkers for stroke prevention and treatment.