Chen Long, Su Yiqi, Li Hui, Yang Zhen, Li Jiao Jiao, Xing Dan
Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, China.
School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia.
Front Nutr. 2024 Apr 29;11:1373850. doi: 10.3389/fnut.2024.1373850. eCollection 2024.
To understand the impact of individual preferences for specific dietary items on OA, and to help inform the development of effective and targeted OA prevention and management strategies, we performed a Mendelian randomization analysis between dietary preferences and osteoarthritis.
This study utilized genetic data from the UK Biobank to investigate the association between OA and 21 different common dietary items. Instrumental variables representing European populations were carefully selected based on their genetic significance and linkage disequilibrium. In cases where a dietary item had few relevant genetic markers, a more lenient selection threshold was applied. To prevent bias, the analysis excluded single nucleotide polymorphisms (SNPs) associated with factors such as body mass index (BMI) and cholesterol. Using inverse-variance weighting (IVW) and Mendelian randomization, significant associations were detected between certain dietary items and OA.
Using Mendelian randomization to examine the relationship between 21 different dietary items and OA, significant associations were found for coffee, peas, watercress, and cheese, where the first two had a promoting effect and the last two an inhibiting effect on OA. Due to heterogeneity in the test results for cheese, a random IVW representation was used. The results of sensitivity analysis showed no significant heterogeneity or horizontal pleiotropy in the selected SNPS, demonstrating the reliability of Mendelian randomization analysis.
This study identified coffee, peas, watercress, and cheese as food items that may have significant dietary effects on osteoarthritis. This information may be useful to consider in the development of OA management strategies.
为了解个体对特定饮食项目的偏好对骨关节炎（OA）的影响，并为制定有效且有针对性的OA预防和管理策略提供依据，我们对饮食偏好与骨关节炎进行了孟德尔随机化分析。
本研究利用英国生物银行的遗传数据，调查OA与21种不同常见饮食项目之间的关联。根据其遗传意义和连锁不平衡，精心选择了代表欧洲人群的工具变量。对于饮食项目中相关遗传标记较少的情况，采用了更宽松的选择阈值。为防止偏差，分析排除了与体重指数（BMI）和胆固醇等因素相关的单核苷酸多态性（SNP）。使用逆方差加权（IVW）和孟德尔随机化方法，检测到某些饮食项目与OA之间存在显著关联。
使用孟德尔随机化方法研究21种不同饮食项目与OA之间的关系，发现咖啡、豌豆、豆瓣菜和奶酪存在显著关联，前两者对OA有促进作用，后两者有抑制作用。由于奶酪的测试结果存在异质性，采用了随机IVW表示法。敏感性分析结果显示，所选SNPs不存在显著异质性或水平多效性，表明孟德尔随机化分析具有可靠性。
本研究确定咖啡、豌豆、豆瓣菜和奶酪为可能对骨关节炎有显著饮食影响的食物项目。这些信息在制定OA管理策略时可能值得考虑。
