Associations of Plasma Metabolites With Risks of Incident Stroke and Its Subtypes in Chinese Adults

Abstract

Background Metabolomics studies have identified various metabolic markers associated with stroke risk, yet much uncertainty persists regarding heterogeneity in these associations between different stroke subtypes. We aimed to examine metabolic profiles associated with incident stroke and its subtypes in Chinese adults. Methods and Results We performed a nested case–control study within the Dongfeng‐Tongji cohort, including 1029 and 266 incident cases of ischemic stroke (IS) and hemorrhagic stroke (HS), respectively, with a mean follow‐up period of 6.1±2.3 years. Fifty‐five metabolites in fasting plasma were measured by ultra‐high‐performance liquid chromatography–mass spectrometry. We examined the associations of metabolites with the risks of total stroke, IS, and HS, with a focus on the comparison of associations of plasma metabolite with IS and HS, using conditional logistic regression. We found that increased levels of asymmetrical/symmetrical dimethylarginine and glutamate were significantly associated with elevated risk of total stroke (odds ratios and 95%, 1.20 [1.08–1.34] and 1.22 [1.09–1.36], respectively; both Benjamini‐Hochberg‐adjusted P <0.05). When examining stroke subtypes, asymmetrical/symmetrical dimethylarginine was nominally associated with both IS and HS (odds ratios [95% CIs]: 1.16 [1.03–1.31] and 1.39 [1.07–1.81], respectively), while glutamate was associated with only IS (odds ratios [95% CI]: 1.26 [1.11–1.43]). The associations of glutamate with IS risk were significantly stronger among participants with hypertension and diabetes than among those without these diseases (both P for interaction <0.05). Conclusions This study validated the positive associations of asymmetrical/symmetrical dimethylarginine and glutamate with stroke risk, mainly that of IS, in a Chinese population, and revealed a novel unanimous association of with both IS and HS. Our findings provided potential intervention targets for stroke prevention.

Keywords

• metabolite
• stroke subtypes
• total stroke