Back

Omega-3 fatty acids and intracranial aneurysms: a Mendelian randomization study

Wei, D.; Chen, X.; Gui, S.; Jiang, J.; Gao, Y.; Lin, J.; Deng, D.; You, W.; Lv, J.; Tang, Y.; Chen, T.; Yang, S.; Jin, H.; Jiang, Y.; Liu, P.; Tai, H.; Liu, X.; Ge, H.; Lv, M.; Meng, F.; Li, Y.

2024-10-13 neurology
10.1101/2024.10.11.24315356 medRxiv
Show abstract

IntroductionRecent studies suggest that omega-3 polyunsaturated fatty acids (PUFAs) supplementation benefits for cardiovascular disease and abdominal aortic aneurysms, but its role in intracranial aneurysms (IAs) remains unclear. This study evaluates the effect of omega-3 PUFAs on IAs. Patients and methodsA two-sample Mendelian Randomization study (MR) was conducted to examine the associations between omega-3 PUFAs and IAs, as well as aneurysmal subarachnoid hemorrhage (aSAH). The largest genome-wide association study dataset was used for primary analysis, with replication using independent sources. Two-step MR was used to evaluate the mediating effects of nine aneurysm risk factors and 91 inflammatory cytokines. ResultsHigher genetically predicted levels of total omega-3, omega-3 percentage, and docosahexaenoic acid (DHA) were associated with reduced risks of IAs (combined OR 0.88, 95% CI 0.83-0.94, P<0.001; 0.86, 0.81-0.92, P<0.001; 0.84, 0.78-0.90, P<0.001, respectively) and aSAH (0.85, 0.79-0.91, P=0.009; 0.84, 0.75-0.93, P<0.001; 0.80, 0.71-0.90, P<0.001, respectively). Genetically predicted eicosapentaenoic acid level showed a tendency to increase risk (1.05, 1.01-1.10, P=0.022 for IAs; 1.11, 0.96-1.28, P=0.160 for aSAH). Mediation analysis revealed diastolic blood pressure (DBP) and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) mediated DHAs effects on IAs (proportion mediated 8.5%, P=0.019; 25.2%, P=0.049) and aSAH (5.7%, P=0.024; 27.5%, P=0.041). ConclusionsOur study suggests that omega-3 PUFAs, particularly DHA, are associated with a reduced risk of IAs and aSAH. This association may be partially mediated by DBP and TRAIL.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.