Department of Clinical Sciences Lund University Malmö Sweden.
Department of Internal Medicine Skåne University Hospital Malmö Sweden.
J Am Heart Assoc. 2020 Nov 3;9(21):e016737. doi: 10.1161/JAHA.120.016737. Epub 2020 Oct 20.
Background Atrial fibrillation (AF) is the most common cardiac arrhythmia, but the pathogenesis is not completely understood. The application of metabolomics could help in discovering new metabolic pathways involved in the development of the disease. Methods and Results We measured 112 baseline fasting metabolites of 3770 participants in the Malmö Diet and Cancer Study; these participants were free of prevalent AF. Incident cases of AF were ascertained through previously validated registers. The associations between baseline levels of metabolites and incident AF were investigated using Cox proportional hazard models. During 23.1 years of follow-up, 650 cases of AF were identified (incidence rate: 8.6 per 1000 person-years). In Cox regression models adjusted for AF risk factors, 7 medium- and long-chain acylcarnitines were associated with higher risk of incident AF (hazard ratio [HR] ranging from 1.09; 95% CI, 1.00-1.18 to 1.14, 95% CI, 1.05-1.24 per 1 SD increment of acylcarnitines). Furthermore, caffeine and acisoga were also associated with an increased risk (HR, 1.17; 95% CI, 1.06-1.28 and 1.08; 95% CI, 1.00-1.18, respectively), while beta carotene was associated with a lower risk (HR, 0.90; 95% CI, 0.82-0.99). Conclusions For the first time, we show associations between altered acylcarnitine metabolism and incident AF independent of traditional AF risk factors in a general population. These findings highlight metabolic alterations that precede AF diagnosis by many years and could provide insight into the pathogenesis of AF. Future studies are needed to replicate our finding in an external cohort as well as to test whether the relationship between acylcarnitines and AF is causal.
背景 心房颤动(AF)是最常见的心律失常,但发病机制尚不完全清楚。代谢组学的应用有助于发现参与疾病发展的新代谢途径。
方法和结果 我们测量了 3770 名马拉德饮食与癌症研究参与者的 112 项空腹基础代谢物;这些参与者均无明显的 AF。通过先前验证的登记处确定 AF 的发病情况。使用 Cox 比例风险模型研究基线代谢物水平与 AF 发病的相关性。在 23.1 年的随访期间,确定了 650 例 AF(发病率:8.6/1000 人年)。在调整了 AF 危险因素的 Cox 回归模型中,7 种中链和长链酰基辅酶 A 与较高的 AF 发病风险相关(风险比[HR]范围为 1.09;95%可信区间,1.00-1.18 至 1.14,95%可信区间,1.05-1.24 每 1SD 酰基辅酶 A 增加)。此外,咖啡因和 acisoga 也与风险增加相关(HR,1.17;95%可信区间,1.06-1.28 和 1.08;95%可信区间,1.00-1.18),而β-胡萝卜素与风险降低相关(HR,0.90;95%可信区间,0.82-0.99)。
结论 我们首次在一般人群中,独立于传统的 AF 危险因素,显示出酰基辅酶 A 代谢改变与 AF 发病之间的关联。这些发现强调了在 AF 诊断前多年发生的代谢改变,并为 AF 的发病机制提供了深入了解。需要进一步的研究来在外部队列中复制我们的发现,并测试酰基辅酶 A 与 AF 之间的关系是否具有因果关系。