Zhonglou District Center for Disease Control and Prevention, Changzhou, Jiangsu, China.
Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong, China.
Biol Trace Elem Res. 2024 Jun;202(6):2509-2517. doi: 10.1007/s12011-023-03878-8. Epub 2023 Oct 9.
Iron overload has been associated with an increased risk of COVID-19 severity and mortality in observational studies, but it remains unclear whether these associations represent causal effects. We performed a two-sample Mendelian randomization (MR) to determine associations between genetic liability to iron overload and the risk of COVID-19 severity and mortality. From genome-wide association studies of European ancestry, single-nucleotide polymorphisms associated with liver iron (n = 32,858) and ferritin (n = 23,986) were selected as exposure instruments, and summary statistics of the hospitalization (n = 16,551) and mortality (n = 15,815) of COVID-19 were utilized as the outcome. We used the inverse-variance weighted (IVW) method as the primary analysis to estimate causal effects, and other alternative approaches as well as comprehensive sensitivity analysis were conducted for estimating the robustness of identified associations. Genetically predicted high liver iron levels were associated with an increased risk of COVID-19 mortality based on the results of IVW analysis (OR = 1.38, 95% CI: 1.05-1.82, P = 0.02). Likewise, sensitivity analyses showed consistent and robust results in general (all P > 0.05). A higher risk of COVID-19 hospitalization trend was also observed in patients with high liver iron levels without statistical significance. This study suggests that COVID-19 mortality might be partially driven by the iron accumulation in the liver, supporting the classification of iron overload as one of the independent death risk factors. Therefore, avoiding iron overload and maintaining normal iron levels may be a powerful measure to reduce COVID-19 mortality.
铁过载与观察性研究中 COVID-19 严重程度和死亡率的增加相关,但这些关联是否代表因果效应尚不清楚。我们进行了两样本孟德尔随机化 (MR) 分析,以确定铁过载遗传易感性与 COVID-19 严重程度和死亡率之间的关联。从欧洲血统的全基因组关联研究中,选择与肝脏铁(n=32858)和铁蛋白(n=23986)相关的单核苷酸多态性作为暴露工具,并利用 COVID-19 住院(n=16551)和死亡(n=15815)的汇总统计数据作为结果。我们使用逆方差加权 (IVW) 方法作为主要分析来估计因果效应,并进行了其他替代方法和综合敏感性分析,以评估确定关联的稳健性。基于 IVW 分析的结果,遗传预测的高肝脏铁水平与 COVID-19 死亡率的增加相关(OR=1.38,95%CI:1.05-1.82,P=0.02)。同样,敏感性分析总体上显示出一致且稳健的结果(均 P>0.05)。在高肝脏铁水平的患者中,COVID-19 住院的风险也呈现出增加的趋势,但没有统计学意义。本研究表明,COVID-19 死亡率可能部分由肝脏内铁的积累驱动,支持将铁过载归类为独立的死亡风险因素之一。因此,避免铁过载和维持正常的铁水平可能是降低 COVID-19 死亡率的有力措施。