Causal Effect of Macronutrient and Micronutrient Intake on Stroke: A Two-Sample Mendelian Randomization Study

孟德尔随机化 冲程(发动机) 医学 混淆 微量营养素 维生素D与神经学 内科学 观察研究 全基因组关联研究 风险因素 单核苷酸多态性 生物 病理 遗传学 基因 机械工程 工程类 基因型 遗传变异
作者
Guozhang Dong,Wanqian Xu,Lin Xu
出处
期刊:Nutrients [Multidisciplinary Digital Publishing Institute]
卷期号:16 (17): 2818-2818
标识
DOI:10.3390/nu16172818
摘要

(1) Background: Estimating the causal association between nutrient intake, as a modifiable risk factor, and stroke risk is beneficial for the prevention and management of stroke. However, observational studies are unavoidably influenced by confounding factors and reverse causation. (2) Methods: We performed a two-sample Mendelian randomization (MR) to estimate the effects of nutrient intake on stroke risk. Summary statistics for nutrients, including 4 macronutrients and 14 micronutrients, were derived from 15 genome-wide association studies (GWAS). Data on stroke and its subtypes were sourced from the MEGASTROKE consortium. (3) Results: Genetically predicted magnesium levels, as the protective factors, were significantly associated with a lower risk of cardioembolic stroke (OR: 0.011, 95% CI: 0–0.25, p-value: 0.005) in the IVW method. Additionally, vitamin C reduced the risk of cardioembolic stroke (OR: 0.759, 95% CI: 0.609–0.946, p-value: 0.014) and vitamin B9 reduced the risk of small vessel stroke (OR: 0.574, 95% CI: 0.393–0.839, p-value: 0.004) with the IVW method. However, the association of vitamin B6 with an increased risk of large-artery stroke (OR: 1.546, 95% CI: 1.009–2.37, p-value: 0.046) in the Wald ratio method should be interpreted cautiously due to the limited number of SNPs. There was also suggestive evidence that magnesium might decrease the risk of both any stroke and ischemic stroke. (4) Conclusions: Our MR analysis highlights the protective roles of magnesium, vitamin C, and vitamin B9 in stroke prevention, making them key targets for public health strategies. However, the findings related to vitamin B6 are less certain and require further validation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Fly发布了新的文献求助20
1秒前
hx发布了新的文献求助10
2秒前
3秒前
肥肥猪发布了新的文献求助10
3秒前
激动的鹰完成签到,获得积分10
3秒前
轩辕完成签到 ,获得积分10
3秒前
慕青应助砍柴少年采纳,获得10
5秒前
深情安青应助砍柴少年采纳,获得10
5秒前
5秒前
huohua完成签到 ,获得积分10
5秒前
芙芙完成签到,获得积分10
6秒前
无花果应助YTT采纳,获得10
6秒前
6秒前
阔达的琦发布了新的文献求助10
6秒前
8秒前
10秒前
追寻澜发布了新的文献求助10
10秒前
田様应助汪洋一叶采纳,获得10
11秒前
ZMTW发布了新的文献求助10
12秒前
天很蓝完成签到,获得积分10
12秒前
侃侃完成签到,获得积分10
12秒前
777发布了新的文献求助10
13秒前
13秒前
14秒前
科研通AI6.4应助明理汲采纳,获得30
14秒前
14秒前
babbo完成签到,获得积分10
15秒前
英俊的铭应助CBWKEYANTONG123采纳,获得10
16秒前
小马驹发布了新的文献求助10
16秒前
临水思长发布了新的文献求助10
16秒前
jackie发布了新的文献求助10
16秒前
初景发布了新的文献求助10
17秒前
英俊的铭应助木木采纳,获得30
17秒前
18秒前
YTT发布了新的文献求助10
18秒前
19秒前
七七发布了新的文献求助10
19秒前
行走的荷尔蒙应助xh采纳,获得50
20秒前
orixero应助lljken采纳,获得10
21秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7495321
求助须知:如何正确求助?哪些是违规求助? 9086442
关于积分的说明 19380150
捐赠科研通 7106681
什么是DOI,文献DOI怎么找? 3249889
关于科研通互助平台的介绍 2419238
邀请新用户注册赠送积分活动 2235598