Medical Research Council Unit for Lifelong Health and Ageing at University College London, University College London, London, United Kingdom.
Department of Medical Epidemiology & Biostatistics, Karolinska Institute, Stockholm, Sweden.
Ann Neurol. 2020 Jan;87(1):30-39. doi: 10.1002/ana.25642.
To examine whether genetic variation affecting the expression or function of lipid-lowering drug targets is associated with Alzheimer disease (AD) risk, to evaluate the potential impact of long-term exposure to corresponding therapeutics.
We conducted Mendelian randomization analyses using variants in genes that encode the protein targets of several approved lipid-lowering drug classes: HMGCR (encoding the target for statins), PCSK9 (encoding the target for PCSK9 inhibitors, eg, evolocumab and alirocumab), NPC1L1 (encoding the target for ezetimibe), and APOB (encoding the target of mipomersen). Variants were weighted by associations with low-density lipoprotein cholesterol (LDL-C) using data from lipid genetics consortia (n up to 295,826). We meta-analyzed Mendelian randomization estimates for regional variants weighted by LDL-C on AD risk from 2 large samples (total n = 24,718 cases, 56,685 controls).
Models for HMGCR, APOB, and NPC1L1 did not suggest that the use of related lipid-lowering drug classes would affect AD risk. In contrast, genetically instrumented exposure to PCSK9 inhibitors was predicted to increase AD risk in both of the AD samples (combined odds ratio per standard deviation lower LDL-C inducible by the drug target = 1.45, 95% confidence interval = 1.23-1.69). This risk increase was opposite to, although more modest than, the degree of protection from coronary artery disease predicted by these same methods for PCSK9 inhibition.
We did not identify genetic support for the repurposing of statins, ezetimibe, or mipomersen for AD prevention. Notwithstanding caveats to this genetic evidence, pharmacovigilance for AD risk among users of PCSK9 inhibitors may be warranted. ANN NEUROL 2020;87:30-39.
研究影响降脂药物靶点表达或功能的遗传变异是否与阿尔茨海默病(AD)风险相关,评估长期使用相应治疗药物的潜在影响。
我们使用几种已批准的降脂药物类别(他汀类药物的作用靶点 HMGCR、PCSK9 抑制剂的作用靶点 PCSK9 [如依洛尤单抗和阿利鲁单抗]、依折麦布的作用靶点 NPC1L1 以及米泊美生的作用靶点 APOB)的编码蛋白靶点的基因中的变异进行孟德尔随机分析。采用脂质遗传学联合研究中与 LDL-C 相关的关联对变异进行加权(最多可用于 295826 人)。我们对来自 2 个大型样本(共 24718 例病例,56685 例对照)的基于 LDL-C 加权的 AD 风险的区域变异的孟德尔随机化估计进行了荟萃分析。
HMGCR、APOB 和 NPC1L1 模型均表明,使用相关的降脂药物类别不会影响 AD 风险。相反,PCSK9 抑制剂的遗传诱发暴露被预测会增加两种 AD 样本中的 AD 风险(药物作用靶点每标准偏差 LDL-C 降低时的综合比值比为 1.45,95%置信区间为 1.23-1.69)。与这些相同方法预测的 PCSK9 抑制对冠心病的保护程度相比,这种风险增加虽然较小,但与保护作用相反。
我们没有发现他汀类药物、依折麦布或米泊美生用于 AD 预防的遗传支持。尽管存在对该遗传证据的警告,但可能需要对 PCSK9 抑制剂使用者的 AD 风险进行药物警戒。ANN NEUROL 2020;87:30-39.