饮食习惯对睡眠呼吸暂停风险影响的因果中介分析

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Yingying-Li, Liang Wu, Wenbo-Chen
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引用次数: 0

摘要

目的:饮食是影响多种慢性疾病的可改变因素,因此终身饮食干预对降低疾病风险至关重要。因此,本研究旨在评估饮食与睡眠呼吸暂停(SA)之间的潜在因果关系。方法:我们分析了来自大约45万人的全基因组关联研究(GWAS)数据,重点关注8种膳食摄入量和来自UK Biobank的249种代谢物的GWAS统计数据。来自16761名参与者的睡眠呼吸暂停相关表型数据来自FinnGen生物银行。此外,我们进行了一系列双样本孟德尔随机化(双样本MR)来探索饮食与SA之间的因果关系。进行敏感性分析以评估两样本MR结果的稳健性,并进行反向MR分析以检查潜在的反向因果关系。采用多变量磁共振(MVMR)分析和中介效应估计来评估代谢物的中介作用。结果:两样本磁共振分析显示,面包摄入量(OR=0.56, 95% CI 0.35-0.89, P =0.014)、奶酪摄入量(OR=0.67, 95% CI 0.50-0.89, P =0.006)和干果摄入量(OR=0.61, 95% CI 0.39-0.95, P =0.029)与SA之间存在显著的因果关系。反向MR分析显示SA对干果摄取量有因果关系(P < 0.05)。单变量MR分析进一步发现,面包和奶酪摄入量分别对2和32种代谢物有显著的因果影响(P < 0.05)。随后的MVMR分析表明,面包和奶酪摄入量对SA有直接的因果关系,与代谢物介导无关(P < 0.05)。此外,奶酪摄入量通过葡萄糖对SA的中介效应估计为0.023 (90% CI 0.01- 0.046),而其他模型的中介效应无统计学意义。结论:本研究的MR分析提供了遗传证据,表明对奶酪和面包摄入的遗传易感性增加可能降低SA风险。这些发现强调并证实了饮食在预防SA中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal Mediation Analysis of the Effect of Dietary Habits on Sleep Apnea Risk.

Objective: Diet is a modifiable factor that influences several chronic diseases, making lifelong dietary interventions critically important for reducing disease risk. Hence, this study aims to assess the potential causal relationship between diet and sleep apnea (SA).

Methods: We analyzed genome-wide association study (GWAS) data from approximately 450,000 individuals, focusing on 8 dietary intakes and GWAS statistics for 249 metabolites from the UK Biobank. Sleep apnea-related phenotypic data from 16,761 participants were sourced from the FinnGen Biobank. Furthermore, we conducted a series of two-sample Mendelian Randomization (two-sample MR) to explore the causality between diet and SA. Sensitivity analyses were conducted to assess the robustness of the two-sample MR results, and reverse MR analysis was performed to examine potential reverse causality. Multivariate MR (MVMR) analysis and mediation effect estimation were employed to evaluate the mediating roles of metabolites.

Results: Two-sample MR analyses revealed significant causal associations between bread intake (OR=0.56, 95% CI 0.35-0.89, P =0.014), cheese intake (OR=0.67, 95% CI 0.50-0.89, P =0.006), and dried fruit intake (OR=0.61, 95% CI 0.39-0.95, P =0.029) with SA. Reverse MR analysis indicated a causal effect of SA on dried fruit intake (P < 0.05). Univariate MR analyses further identified significant causal effects of bread and cheese intakes on 2 and 32 metabolites, respectively (P < 0.05). Subsequent MVMR analysis demonstrated direct causal effects of bread and cheese intake on SA, independent of metabolite mediation (P < 0.05). Furthermore, the mediating effect of cheese intake on SA through glucose was estimated at 0.023 (90% CI 0.01- 0.046), whereas other modeled mediation effects were not statistically significant.

Conclusion: The MR analysis in this study offers genetic evidence indicating that heightened genetic susceptibility to cheese and bread intake potentially reduces SA risk. These findings underscore and validate the significance of diet in preventing SA.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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