Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Lipids Health Dis. 2024 Aug 1;23(1):237. doi: 10.1186/s12944-024-02218-6.
Idiopathic pulmonary fibrosis (IPF) is a respiratory disorder of obscure etiology and limited treatment options, possibly linked to dysregulation in lipid metabolism. While several observational studies suggest that lipid-lowering agents may decrease the risk of IPF, the evidence is inconsistent. The present Mendelian randomization (MR) study aims to determine the association between circulating lipid traits and IPF and to assess the potential influence of lipid-modifying medications for IPF.
Summary statistics of 5 lipid traits (high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, apolipoprotein A, and apolipoprotein B) and IPF were sourced from the UK Biobank and FinnGen Project Round 10. The study's focus on lipid-regulatory genes encompassed PCSK9, NPC1L1, ABCG5, ABCG8, HMGCR, APOB, LDLR, CETP, ANGPTL3, APOC3, LPL, and PPARA. The primary effect estimates were determined using the inverse-variance-weighted method, with additional analyses employing the contamination mixture method, robust adjusted profile score, the weighted median, weighted mode methods, and MR-Egger. Summary-data-based Mendelian randomization (SMR) was used to confirm significant lipid-modifying drug targets, leveraging data on expressed quantitative trait loci in relevant tissues. Sensitivity analyses included assessments of heterogeneity, horizontal pleiotropy, and leave-one-out methods.
There was no significant effect of blood lipid traits on IPF risk (all P>0.05). Drug-target MR analysis indicated that genetic mimicry for inhibitor of NPC1L1, PCSK9, ABCG5, ABCG8, and APOC3 were associated with increased IPF risks, with odds ratios (ORs) and 95% confidence intervals (CIs) as follows: 2.74 (1.05-7.12, P = 0.039), 1.36 (1.02-1.82, P = 0.037), 1.66 (1.12-2.45, P = 0.011), 1.68 (1.14-2.48, P = 0.009), and 1.42 (1.20-1.67, P = 3.17×10), respectively. The SMR method identified a significant association between PCSK9 gene expression in whole blood and reduced IPF risk (OR = 0.71, 95% CI: 0.50-0.99, P = 0.043). Sensitivity analyses showed no evidence of bias.
Serum lipid traits did not significantly affect the risk of idiopathic pulmonary fibrosis. Drug targets MR studies examining 12 lipid-modifying drugs indicated that PCSK9 inhibitors could dramatically increase IPF risk, a mechanism that may differ from their lipid-lowering actions and thus warrants further investigation.
特发性肺纤维化(IPF)是一种病因不明且治疗选择有限的呼吸系统疾病,可能与脂质代谢失调有关。尽管几项观察性研究表明,降脂药物可能降低 IPF 的风险,但证据并不一致。本孟德尔随机化(MR)研究旨在确定循环脂质特征与 IPF 之间的关联,并评估脂质修饰药物治疗 IPF 的潜在影响。
从英国生物银行和芬兰基因项目第 10 轮中获取了 5 种脂质特征(高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、甘油三酯、载脂蛋白 A 和载脂蛋白 B)和 IPF 的汇总统计数据。该研究重点关注脂质调节基因,包括 PCSK9、NPC1L1、ABCG5、ABCG8、HMGCR、APOB、LDLR、CETP、ANGPTL3、APOC3、LPL 和 PPARA。主要效应估计值采用逆方差加权法确定,额外的分析采用污染混合物法、稳健调整的特征评分、加权中位数、加权模式法和 MR-Egger 法。使用基于汇总数据的孟德尔随机化(SMR)来确认具有显著脂质修饰作用的药物靶点,利用相关组织中表达的数量性状基因座的数据。敏感性分析包括异质性、水平多效性和单样本遗漏方法的评估。
血液脂质特征与 IPF 风险之间没有显著关联(均 P>0.05)。药物靶点 MR 分析表明,NPC1L1 抑制剂、PCSK9、ABCG5、ABCG8 和 APOC3 的遗传模拟与增加的 IPF 风险相关,比值比(OR)和 95%置信区间(CI)如下:2.74(1.05-7.12,P=0.039)、1.36(1.02-1.82,P=0.037)、1.66(1.12-2.45,P=0.011)、1.68(1.14-2.48,P=0.009)和 1.42(1.20-1.67,P=3.17×10)。SMR 方法确定了全血中 PCSK9 基因表达与降低 IPF 风险之间的显著关联(OR=0.71,95%CI:0.50-0.99,P=0.043)。敏感性分析未发现偏差的证据。
血清脂质特征与特发性肺纤维化的风险无显著相关性。对 12 种脂质修饰药物进行的药物靶点 MR 研究表明,PCSK9 抑制剂可能显著增加 IPF 的风险,这一机制可能与其降脂作用不同,因此需要进一步研究。