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评估系统性铁状态与心力衰竭风险之间的因果关联:一项孟德尔随机化研究。

Appraising the Causal Association between Systemic Iron Status and Heart Failure Risk: A Mendelian Randomisation Study.

机构信息

Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.

出版信息

Nutrients. 2022 Aug 9;14(16):3258. doi: 10.3390/nu14163258.

Abstract

Although observational studies have shown that abnormal systemic iron status is associated with an increased risk of heart failure (HF), it remains unclear whether this relationship represents true causality. We aimed to explore the causal relationship between iron status and HF risk. Two-sample Mendelian randomisation (MR) was applied to obtain a causal estimate. Genetic summary statistical data for the associations (p < 5 × 10−8) between single nucleotide polymorphisms (SNPs) and four iron status parameters were obtained from the Genetics of Iron Status Consortium in genome-wide association studies involving 48,972 subjects. Statistical data on the association of SNPs with HF were extracted from the UK biobank consortium (including 1088 HF cases and 360,106 controls). The results were further tested using MR based on the Bayesian model averaging (MR-BMA) and multivariate MR (MVMR). Of the twelve SNPs considered to be valid instrumental variables, three SNPs (rs1800562, rs855791, and rs1799945) were associated with all four iron biomarkers. Genetically predicted iron status biomarkers were not causally associated with HF risk (all p > 0.05). Sensitivity analysis did not show evidence of potential heterogeneity and horizontal pleiotropy. Convincing evidence to support a causal relationship between iron status and HF risk was not found. The strong relationship between abnormal iron status and HF risk may be explained by an indirect mechanism.

摘要

尽管观察性研究表明,异常的系统性铁状态与心力衰竭(HF)风险增加有关,但尚不清楚这种关系是否代表真正的因果关系。我们旨在探讨铁状态与 HF 风险之间的因果关系。采用两样本 Mendelian 随机化(MR)方法获得因果估计值。从涉及 48972 名受试者的全基因组关联研究中的铁状态遗传研究联盟获得了与四个铁状态参数相关的单核苷酸多态性(SNP)的关联(p<5×10−8)的遗传汇总统计数据。从 UK biobank 联盟(包括 1088 例 HF 病例和 360106 例对照)提取了与 SNPs 与 HF 相关的统计数据。使用基于贝叶斯模型平均(MR-BMA)和多变量 MR(MVMR)的 MR 进一步测试了结果。在所考虑的 12 个有效工具变量 SNP 中,有 3 个 SNP(rs1800562、rs855791 和 rs1799945)与所有四个铁生物标志物相关。遗传预测的铁状态生物标志物与 HF 风险无因果关系(均 p>0.05)。敏感性分析未显示出潜在异质性和水平多效性的证据。没有找到支持铁状态与 HF 风险之间存在因果关系的令人信服的证据。异常铁状态与 HF 风险之间的强相关性可能可以通过间接机制来解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/722d/9412602/8476f777cfbd/nutrients-14-03258-g001.jpg

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