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遗传预测的低密度脂蛋白胆固醇终生降低与虚弱减少有关:英国生物库的孟德尔随机研究。

Genetically-predicted life-long lowering of low-density lipoprotein cholesterol is associated with decreased frailty: A Mendelian randomization study in UK biobank.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China; Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden.

Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden.

出版信息

EBioMedicine. 2019 Jul;45:487-494. doi: 10.1016/j.ebiom.2019.07.007. Epub 2019 Jul 9.

Abstract

BACKGROUND

High circulating low-density lipoprotein cholesterol (LDL-C) is a major risk factor for atherosclerosis and age-associated cardiovascular events. Long-term dyslipidaemia could contribute to the development of frailty in older individuals through its role in determining cardiovascular health and potentially other physiological pathways.

METHODS

We conducted Mendelian randomization (MR) analyses using genetic variants to estimate the effects of long-term LDL-C modification on frailty in UK Biobank (n = 378,161). Frailty was derived from health questionnaire and interview responses at baseline when participants were aged 40 to 69 years, and calculated using an accumulation-of-deficits approach, i.e. the frailty index (FI). Several aggregated instrumental variables (IVs) using 50 and 274 genetic variants were constructed from independent single-nucleotide polymorphisms (SNPs) to instrument circulating LDL-C concentrations. Specific sets of variants in or near genes that encode six lipid-lowering drug targets (HMGCR, PCSK9, NPC1L1, APOB, APOC3, and LDLR) were used to index effects of exposure to related drug classes on frailty. SNP-LDL-C effects were available from previously published studies. SNP-FI effects were obtained using adjusted linear regression models. Two-sample MR analyses were performed with the IVs as instruments using inverse-variance weighted, MR-Egger, weighted median, and weighted mode methods. To address the stability of the findings, MR analyses were also performed using i) a modified FI excluding the cardiometabolic deficit items and ii) data from comparatively older individuals (aged ≥60 years) only. Several sensitivity analyses were also conducted.

FINDINGS

On average 0.14% to 0.23% and 0.16% to 0.31% decrements in frailty were observed per standard deviation reduction in LDL-C exposure, instrumented by the general IVs consisting of 50 and 274 variants, respectively. Consistent, though less precise, associations were observed in the HMGCR-, APOC3-, NPC1L1-, and LDLR-specific IV analyses. In contrast, results for PCSK9 were in the same direction but more modest, and null for APOB. All sensitivity analyses produced similar findings.

INTERPRETATION

A genetically-predicted life-long lowering of LDL-C is associated with decreased frailty in midlife and older age, representing supportive evidence for LDL-C's role in multiple health- and age-related pathways. The use of lipid-lowering therapeutics with varying mechanisms of action may differ by the extent to which they provide overall health benefits.

摘要

背景

循环中低水平的低密度脂蛋白胆固醇(LDL-C)是动脉粥样硬化和与年龄相关的心血管事件的主要危险因素。长期血脂异常可能通过影响心血管健康和其他潜在生理途径,导致老年人衰弱。

方法

我们使用遗传变异进行孟德尔随机分析(MR),以评估长期 LDL-C 修饰对英国生物库(n=378161)中脆弱性的影响。脆弱性通过基线时年龄在 40 至 69 岁的健康问卷和访谈应答得出,并使用累积缺陷法(即衰弱指数,FI)进行计算。从独立的单核苷酸多态性(SNP)中构建了 50 个和 274 个遗传变异的几种综合工具变量(IV),以测量循环 LDL-C 浓度。使用编码六种降脂药物靶点(HMGCR、PCSK9、NPC1L1、APOB、APOC3 和 LDLR)的基因内或附近的特定变异体来索引与相关药物类别的暴露对脆弱性的影响。SNP-LDL-C 效应可从先前发表的研究中获得。SNP-FI 效应使用调整后的线性回归模型获得。使用逆方差加权、MR-Egger、加权中位数和加权模式方法,将 IV 作为工具进行两样本 MR 分析。为了稳定研究结果,还使用以下方法进行了 MR 分析:i)使用排除了心血管代谢缺陷项目的修改后的 FI;ii)仅使用年龄较大的个体(≥60 岁)的数据。还进行了几项敏感性分析。

结果

平均而言,LDL-C 暴露降低一个标准差,分别观察到 FI 降低 0.14%至 0.23%和 0.16%至 0.31%。在 HMGCR、APOC3、NPC1L1 和 LDLR 特异性 IV 分析中观察到一致但不太准确的关联。相反,PCSK9 的结果方向相同,但更为温和,APOB 的结果为零。所有敏感性分析均得出类似的结果。

解释

终生遗传预测 LDL-C 降低与中年和老年时衰弱减少有关,为 LDL-C 在多种健康和与年龄相关的途径中的作用提供了支持性证据。具有不同作用机制的降脂治疗药物的使用可能因它们提供整体健康益处的程度而异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abe9/6642403/ff926bcb953c/gr1.jpg

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