Association between omega-3 polyunsaturated fatty acids and osteoarthritis: results from the NHANES 2003–2016 and Mendelian randomization study

孟德尔随机化 多不饱和脂肪酸 临床营养学 医学 全国健康与营养检查调查 混淆 内科学 逻辑回归 欧米茄 脂肪酸 人口 生物 环境卫生 基因型 遗传学 生物化学 基因 物理 量子力学 遗传变异
作者
Yuxuan Liu,Feichao Song,M. Liu,Xi Huang,Shuyan Xue,Xuanyu Zhang,Huiqin Hao,Junfeng Zhang
出处
期刊:Lipids in Health and Disease [BioMed Central]
卷期号:23 (1) 被引量:3
标识
DOI:10.1186/s12944-024-02139-4
摘要

Abstract Background Omega-3 polyunsaturated fatty acids (omega-3 PUFAs) exhibit potential as therapeutics for a variety of diseases. This observational and Mendelian randomization (MR) study aims to explore the relationship between omega-3 PUFAs and osteoarthritis (OA). Methods Excluding individuals under 20 years old and those with missing data on relevant variables in the National Health and Nutrition Examination Survey (NHANES) spanning from 2003 to 2016, a total of 22 834 participants were included in this cross-sectional study. Weighted multivariable-adjusted logistic regression was used to estimate the association between omega-3 PUFAs and OA in adults. Moreover, restricted cubic splines were utilized to examine the dose-response relationship between omega-3 PUFAs and OA. To further investigate the potential causal relationship between omega-3 PUFAs and OA risk, a two-sample MR study was conducted. Furthermore, the robustness of the findings was assessed using various methods. Results Omega-3 PUFAs intake were inversely associated with OA in adults aged 40 ∼ 59 after multivariable adjustment $$[\text{OR} (95\% \text{CI): }0.85 (0.73, 0.98), P = 0.027]$$ , with a nonlinear relationship observed between omega-3 PUFAs intake and OA $$\left(P \text{ for non-linearity}\text{ = 0.034}\right)$$ . The IVW results showed there was no evidence to suggest a causal relationship between omega-3 PUFAs and OA risk $$\text{[OR} (95\% \text{CI): }0.967 (0.863, 1.084), P = 0.568]$$ . Conclusions Omega-3 PUFAs were inversely associated with OA in adults aged 40 ∼ 59. However, MR studies did not confirm a causal relationship between the two.

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