Circulating inflammatory cytokines and the risk of cerebral small vessel disease: a bidirectional Mendelian randomization analysis.

Background: A correlation between inflammation and cerebral small vessel disease (CSVD) has been hypothesized by earlier observational research, while this correlation has not been well established. Considering the significant clinical value of this causality determination, Mendelian randomization (MR) was implemented to investigate the causality between inflammatory cytokines and CSVD radiological lesions.
Methods: Using the publicly available Genome-Wide Association Study (GWAS) datasets, a bidirectional two-sample MR analysis was employed to infer causality between 91 inflammatory cytokines and CSVD phenotypes [white matter hyperintensity (WHM), fractional anisotropy (FA), mean diffusivity (MD), cerebral microbleeds (CMBs), and lacunar stroke]. A set of methods was used for sensitivity analysis, including Cochran's Q test, MR-Egger intercept method, and MR pleiotropy residual sum and outlier (MR-PRESSO) global test. Furthermore, the strength of causality was assessed using the Bonferroni correction.
Results: Our research discovered a mutually predictive bidirectional link between CSVD phenotypes and inflammatory cytokines. Following the application of the Bonferroni correction, fibroblast growth factor 21 (FGF-21) was significantly inversely correlated with an increased risk of CMBs (OR = 0.579, 95 % CI = 0.425-0.789, P = 0.00055). Using sensitivity analysis, heterogeneity, and horizontal pleiotropy were not detected.
Conclusion: In this investigation, we established the causality between CSVD and inflammatory cytokines, with FGF-21 in particular significantly reducing the risk of CMBs. With further validation, these findings may provide new targets for the prevention, detection, and intervention of CSVD.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier Inc.)