Li Jiarui, Wang Yihan, Luo Xiaoting, Meng Tianwei, Li Chengjia, Li Juan, Du Likun
Heilongjiang University of Chinese Medicine, Harbin, China.
First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Front Cardiovasc Med. 2024 Oct 24;11:1402359. doi: 10.3389/fcvm.2024.1402359. eCollection 2024.
Epidemiological and observational studies demonstrate a comorbid relationship between hypothyroidism and atherosclerotic cardiovascular disease (ASCVD). The nature and direction of this causal relationship, however, remain unclear.
This study aims to elucidate the causal relationship between hypothyroidism and ASCVD using a bidirectional Mendelian randomization approach.
Single nucleotide polymorphisms (SNPs) associated with hypothyroidism were identified and selected as genetic instrumental variables from aggregated data of genome-wide association studies (GWAS). The outcome of interest, ASCVD, included seven conditions: coronary artery disease (CAD), angina pectoris (AP), myocardial infarction (MI), ischemic stroke (IS), and subtypes IS-large artery atherosclerosis (IS-LAA), IS-small vessels (IS-SV), and peripheral artery disease (PAD). MR analysis employed multiple methods-chiefly inverse variance weighting (IVW), along with MR Egger, weighted median, and weighted mode-to assess causality. Cochrane's test was utilized to evaluate heterogeneity in the MR findings. Causal association reliability was assessed using the MR-Egger intercept, MR-PRESSO tests, and leave-one-out analysis. Reverse MR analysis ensued if forward MR identified a positive exposure-outcome association. Moreover, the DAVID database facilitated GO functional and KEGG pathway enrichment analyses of neighboring genes to instrumental variables, exploring potential disease mechanisms.
GWAS pooled data yielded 122 SNPs as potential instrumental variables for hypothyroidism. Forward MR analysis, using the IVW method, indicated hypothyroidism as a risk factor for CAD (OR = 2.34, 95% CI = 1.39-3.94, = 0.001), AP (OR = 2.01, 95% CI = 1.28-3.16, = 0.002), MI (OR = 1.02, 95% CI = 1.01-1.04, = 0.004), and IS-SV (OR = 6.92, 95% CI = 2.45-19.55, < 0.001). However, no significant link was found between hypothyroidism and the remaining three diseases, with sensitivity analysis reinforcing result robustness. In contrast, reverse MR analysis did not corroborate a causal link from ASCVD to hypothyroidism. The R package identified 83 neighboring genes as instrumental variables. GO enrichment analysis via the DAVID database yielded 53 entries, predominantly involving cAMP catabolic processes, protein binding, and signal transduction. KEGG analysis identified 31 pathways, notably those related to Th1/Th2 and Th17 cell differentiation, and Herpes simplex virus 1 infection.
The marked association between hypothyroidism and CAD, AP, MI, and IS suggests that thyroid function assessment could be integral to preventing and diagnosing specific ASCVD types. This underscores the need for individuals with hypothyroidism to be proactive regarding ASCVD risk factors. A balanced Th1/Th2 and Th17/Treg ratio may offer a novel strategy in preventing CAD and enhancing the prognosis for hypothyroid patients.
流行病学和观察性研究表明甲状腺功能减退与动脉粥样硬化性心血管疾病(ASCVD)之间存在共病关系。然而,这种因果关系的性质和方向仍不明确。
本研究旨在使用双向孟德尔随机化方法阐明甲状腺功能减退与ASCVD之间的因果关系。
从全基因组关联研究(GWAS)的汇总数据中识别并选择与甲状腺功能减退相关的单核苷酸多态性(SNP)作为基因工具变量。感兴趣的结局ASCVD包括七种情况:冠状动脉疾病(CAD)、心绞痛(AP)、心肌梗死(MI)、缺血性中风(IS)及其亚型大动脉粥样硬化性缺血性中风(IS-LAA)、小血管缺血性中风(IS-SV)和外周动脉疾病(PAD)。孟德尔随机化分析采用多种方法——主要是逆方差加权(IVW),以及MR-Egger、加权中位数和加权模式——来评估因果关系。采用Cochrane's Q检验评估孟德尔随机化结果的异质性。使用MR-Egger截距、MR-PRESSO检验和留一法分析评估因果关联的可靠性。如果正向孟德尔随机化发现暴露-结局呈正相关,则进行反向孟德尔随机化分析。此外,DAVID数据库有助于对工具变量的邻近基因进行GO功能和KEGG通路富集分析,探索潜在的疾病机制。
GWAS汇总数据产生了122个SNP作为甲状腺功能减退的潜在工具变量。使用IVW方法进行的正向孟德尔随机化分析表明,甲状腺功能减退是CAD(OR = 2.34,95%CI = 1.39 - 3.94,P = 0.001)、AP(OR = 2.01,95%CI = 1.28 - 3.16,P = 0.002)、MI(OR = 1.02,95%CI = 1.