Xu Xiaozhuo, Liu Jing, Huang Yilin, Han Xu
Department of Geriatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, City Nanjing, China.
Heliyon. 2024 Nov 19;10(24):e40516. doi: 10.1016/j.heliyon.2024.e40516. eCollection 2024 Dec 30.
In observational studies, connections have been identified between iron status and myocardial infarction (MI). The significance of changes in iron status as either a risk factor or a result of MI remains unclear.
We obtained our instrumental variables from a meta-analysis of three GWASs in Iceland, the UK, and Denmark, which discovered 62 independent sequence variants across 56 loci linked to blood iron levels, ferritin, total iron binding capacity (TIBC), transferrin saturation (TSAT), and the Genetics of Iron Status (GIS) database for transferrin. To evaluate the connection between iron status markers and myocardial infarction (MI), we used three GWAS datasets focused on MI outcomes. The chosen datasets included one representing the European population (ebi-a-GCST011364: n case = 14,825, n control = 380,970; finn-b-I9_MI: n case = 12,801, n control = 187,840) and another with a mixed population (ieu-a-798: n case = 43,676, n control = 128,199). The primary method used in our study was inverse variance-weighting, while we also assessed heterogeneity and horizontal pleiotropy to enhance the robustness of our findings.
The main analysis with the inverse variance-weighted method showed no significant impact of iron marker levels on MI risk in the ebi-a-GCST011364 and finn-b-I9-MI cohorts. In contrast, the ieu-a-798 cohort indicated that higher ferritin levels had a protective effect against MI (OR = 0.87, 95 % CI 0.78-0.98, P = 0.03). Additionally, TSAT showed an association with decreased MI risk (OR = 0.91, 95 % CI 0.84-0.98, P = 0.01). No significant correlations were observed for other iron status traits examined in this study. Evaluations of horizontal pleiotropy and heterogeneity showed no abnormalities, further strengthening the reliability of our results.
Our multi-cohort MR analysis suggests a potential protective effect of higher ferritin levels and TSAT against MI risk. These findings contribute to our understanding of the relationship between iron status markers and cardiovascular health, offering insights for future research and potential therapeutic interventions.
在观察性研究中,已确定铁状态与心肌梗死(MI)之间存在关联。铁状态变化作为MI的危险因素或结果的意义仍不明确。
我们从冰岛、英国和丹麦的三项全基因组关联研究(GWAS)的荟萃分析中获取工具变量,这些研究在56个位点发现了62个独立的序列变异,与血铁水平、铁蛋白、总铁结合力(TIBC)、转铁蛋白饱和度(TSAT)以及转铁蛋白的铁状态遗传学(GIS)数据库相关。为了评估铁状态标志物与心肌梗死(MI)之间的关联,我们使用了三个关注MI结局的GWAS数据集。所选数据集包括一个代表欧洲人群的数据集(ebi-a-GCST011364:病例数 = 14,825,对照数 = 380,970;finn-b-I9_MI:病例数 = 12,801,对照数 = 187,840)和另一个混合人群的数据集(ieu-a-798:病例数 = 43,676,对照数 = 128,199)。我们研究中使用的主要方法是逆方差加权,同时我们还评估了异质性和水平多效性以增强研究结果的稳健性。
逆方差加权法的主要分析表明,在ebi-a-GCST011364和finn-b-I9-MI队列中,铁标志物水平对MI风险没有显著影响。相比之下,ieu-a-798队列表明,较高的铁蛋白水平对MI有保护作用(OR = 0.87, 95% CI 0.78 - 0.98, P = 0.03)。此外,TSAT显示与MI风险降低有关(OR = 0.91, 95% CI 0.84 - 0.98, P = 0.01)。在本研究中检测的其他铁状态特征未观察到显著相关性。对水平多效性和异质性的评估未发现异常,进一步加强了我们结果的可靠性。
我们的多队列孟德尔随机化分析表明,较高的铁蛋白水平和TSAT对MI风险具有潜在的保护作用。这些发现有助于我们理解铁状态标志物与心血管健康之间的关系,为未来的研究和潜在的治疗干预提供了见解。