在高加索人群中胰岛素和Lp (a) 水平之间的因果关系:孟德尔的随机化研究
Mateusz Lejawa1, Marcin Goławski2, Martyna Fronczek2
1Department of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland. mateusz.lejawa@sum.edu.pl.
Cardiovascular diabetology
|August 29, 2024
概括
基因预测的高胰岛素水平与较低的脂蛋白水平有关. 这一发现可能有助于解释为什么低Lp(a) 与2型糖尿病风险增加有关.
科学领域:
- 心血管遗传学 心血管遗传学
- 代谢障碍 代谢障碍 代谢障碍
- 生物化学 生物化学
背景情况:
- 观察性研究表明,脂蛋白a[Lpa]与2型糖尿病 (T2D) 风险之间存在反向关系.
- 门德尔随机化 (MR) 研究对这种关联产生了不一致的结果.
- 实验室研究表明,高胰岛素可能通过阿波利波蛋白 (apo) 合成抑制Lp (a).
研究的目的:
- 研究基因预测的胰岛素度与Lp (a) 水平之间的关系.
- 探索胰岛素是否影响Lp(a) 水平,这可能解释Lp(a) -T2D风险相关性.
主要方法:
- 使用两个样本总结级别的门德尔随机化 (MR).
- 从大型全基因组关联研究 (GWAS) (N=151,013) 中识别了禁食胰岛素的遗传变异.
- 获得的Lp(a) 来自英国生物银行GWAS的数据 (N=361,194);应用逆变量加权 (IVW) 和灵敏度分析.
主要成果:
- 基因预测的禁食胰岛素与Lp (a) 水平负相关 (β = -0.15,P = 0.003).
- 权重中位数 (WME) 方法支持因果关系 (β = -0.26,P = 0.0002).
- 在MR-Egger灵敏度分析中,没有发现明显的因果关系证据 (P = 0.11).
结论:
- 这项MR研究提供了强有力的证据,表明基因预测较高的胰岛素和较低的Lp (a) 度之间存在关联.
- 在T2D中常见的胰岛素过高可能部分解释了低Lp (a) 和增加T2D风险之间的反向关联.
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