Exploring the causal relationship between iron status and subarachnoid hemorrhage based on two sample mendelian...

Area of Science:

• Genetics
• Neurology
• Metabolic studies

Background:

• Subarachnoid hemorrhage (SAH) is a serious neurological condition with complex etiology.
• Iron metabolism is crucial for various physiological processes, but its direct causal role in SAH remains unclear.

Purpose of the Study:

• To investigate the potential causal associations between genetically predicted iron status biomarkers and the risk of subarachnoid hemorrhage (SAH).

Main Methods:

• A two-sample Mendelian randomization (MR) analysis was employed using genome-wide association study (GWAS) data.
• Four iron biomarkers were assessed: serum iron, serum ferritin, total iron-binding capacity (TIBC), and transferrin saturation (TSAT).
• Various MR methods (IVW, MR-Egger, weighted median) and sensitivity analyses were used to ensure result validity.

Main Results:

• Increased genetically predicted TIBC was significantly associated with a higher risk of SAH (OR=1.71).
• Higher genetically predicted TSAT showed a significant association with a lower risk of SAH (OR=0.76).
• No significant causal associations were observed for serum iron or serum ferritin with SAH risk.

Conclusions:

• This MR study provides genetic evidence supporting a causal link between TIBC, TSAT, and SAH risk.
• Iron metabolism, specifically through TIBC and TSAT, may be a modifiable factor in SAH pathophysiology.
• Further research is warranted to explore these iron-related pathways in SAH.