HMGCR 作为主动脉瘤治疗干预的一个有希望的分子靶点:一项孟德尔随机研究。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-10-14 DOI:10.1186/s12986-024-00849-1
Peng-Fei Zheng, Zhao-Fen Zheng, Zheng-Yu Liu, Jin He, Jing-Jing Rong, Hong-Wei Pan
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引用次数: 0

摘要

背景:尽管流行病学研究探索了血清低密度脂蛋白胆固醇(LDL-C)水平与动脉瘤之间的联系,但因果关系仍不明确。因此,本研究旨在利用孟德尔随机化(MR)分析法评估降低低密度脂蛋白胆固醇目标(HMGCR、PCSK9、NPC1L1、CETP、APOB和LDLR)对各种动脉瘤的因果影响:两种遗传工具可作为暴露于降低低密度脂蛋白胆固醇药物的替代物:药物靶基因的表达量性状位点和药物靶基因附近与低密度脂蛋白胆固醇相关的遗传变异。采用基于汇总数据的MR(SMR)、逆方差加权MR(IVW-MR)和多变量MR(MVMR)方法计算效应估计值:结果:SMR分析显示,HMGCR表达增加与主动脉瘤(几率比[OR]=1.603,95%置信区间[CI]=1.209-2.124)、胸主动脉瘤(OR=1.666,95%置信区间[CI]=1.122-2.475)和腹主动脉瘤(OR=1.910,95%置信区间[CI]=1.278-2.856)风险增加有很大关系。同样,IVW-MR 分析表明,HMGCR 介导的 LDL-C 与主动脉瘤(OR = 2.228,95% CI = 1.702-2.918)、胸主动脉瘤(OR = 1.751,95% CI = 1.191-2.575)、腹主动脉瘤(OR = 4.784,95% CI = 3.257-7.028)和脑动脉瘤(OR = 1.993,95% CI = 1.277-3.110)。此外,在MVMR分析中,考虑到体重指数、吸烟和高血压,HMGCR介导的低密度脂蛋白胆固醇水平与主动脉瘤(包括胸主动脉瘤和腹主动脉瘤亚型)的发生之间存在显著的正相关关系。同样,在 PCSK9 和 CETP 基因以及 PCSK9 和 CETP 介导的 LDL-C 水平与主动脉瘤和腹主动脉瘤的发生之间也发现了一致的正相关关系。然而,APOB、NPC1L1 和 LDLR 与特定亚型主动脉瘤之间潜在关联的证据缺乏 SMR 和 IVW-MR 分析的一致支持:我们的磁共振分析提供了令人信服的证据,证明 HMGCR 与主动脉瘤风险增加(包括胸主动脉瘤和腹主动脉瘤)之间存在似是而非的因果关系。这些突破性的发现进一步支持了在治疗主动脉瘤(包括胸主动脉瘤和腹主动脉瘤)时使用 HMGCR 抑制剂。
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HMGCR as a promising molecular target for therapeutic intervention in aortic aneurisms: a mendelian randomization study.

Background: Despite the exploration of the connections between serum low-density lipoprotein cholesterol (LDL-C) levels and aneurisms in epidemiological studies, causality remains unclear. Therefore, this study aimed to assess the causal impact of LDL-C-lowering targets (HMGCR, PCSK9, NPC1L1, CETP, APOB, and LDLR) on various forms of aneurisms using Mendelian Randomization (MR) analysis.

Methods: Two genetic instruments acted as proxies for exposure to LDL-C-lowering drugs: expression quantitative trait loci of drug target genes and genetic variants linked to LDL-C near drug target genes. Summary-data-based MR (SMR), inverse-variance-weighted MR (IVW-MR), and multivariable MR (MVMR) methods were employed to compute the effect estimates.

Results: The SMR analysis revealed substantial associations between increased HMGCR expression and a heightened risk of aortic aneurism (odds ratio [OR] = 1.603, 95% confidence interval [CI] = 1.209-2.124), thoracic aortic aneurism (OR = 1.666, 95% CI = 1.122-2.475), and abdominal aortic aneurism (OR = 1.910, 95% CI = 1.278-2.856). Likewise, IVW-MR analysis demonstrated positive correlations between HMGCR-mediated LDL-C and aortic aneurism (OR = 2.228, 95% CI = 1.702-2.918), thoracic aortic aneurism (OR = 1.751, 95% CI = 1.191-2.575), abdominal aortic aneurism (OR = 4.784, 95% CI = 3.257-7.028), and cerebral aneurism (OR = 1.993, 95% CI = 1.277-3.110). Furthermore, in the MVMR analysis, accounting for body mass index, smoking, and hypertension, a significant positive relationship was established between HMGCR-mediated LDL-C levels and the development of aortic aneurisms, encompassing both thoracic and abdominal subtypes. Similarly, consistent positive associations were observed for PCSK9 and CETP genes, as well as PCSK9-mediated and CETP-mediated LDL-C levels, with the occurrence of aortic aneurism and abdominal aortic aneurism. Nonetheless, the evidence for potential associations between APOB, NPC1L1 and LDLR with specific subtypes of aortic aneurisms lacked consistent support from both SMR and IVW-MR analyses.

Conclusions: Our MR analysis offered compelling evidence of a plausible causal link between HMGCR and an increased risk of aortic aneurism, encompassing both thoracic and abdominal types. These groundbreaking findings further bolster the case for the deployment of HMGCR inhibitors in the treatment of aortic aneurisms, including both thoracic and abdominal variants.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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