PDF(Pubmed)
Abstract：
Observational studies have previously shown a possible link between fatty acids and aging-related diseases, raising questions about its health implications. However, the causal relationship between the two remains uncertain.
Univariable and multivariable Mendelian randomization (MR) was used to analyze the relationship between five types of fatty acids-polyunsaturated fatty acid (PUFA), monounsaturated fatty acid (MUFA), saturated fatty acid (SFA), Omega-6 fatty acid (Omega-6 FA), and Omega-3 fatty acid (Omega-3 FA) and three markers of aging: telomere length (TL), frailty index (FI), and facial aging (FclAg). The primary approach for Mendelian randomization (MR) analysis involved utilizing the inverse variance weighted (IVW) method, with additional supplementary methods employed.
Univariate MR analysis revealed that MUFA, PUFA, SFA, and Omega-6 fatty acids were positively associated with TL (MUFA OR: 1.019, 95% CI: 1.006-1.033; PUFA OR: 1.014, 95% CI: 1.002-1.026; SFA OR: 1.016, 95% CI: 1.002-1.031; Omega-6 FAs OR=1.031, 95% CI: 1.006-1.058). PUFA was also associated with a higher FI (OR: 1.033, 95% CI: 1.009-1.057). In multivariate MR analysis, after adjusting for mutual influences among the five fatty acids, MUFA and PUFA were positively independently associated with TL (MUFA OR: 1.1508, 95% CI = 1.0724-1.2350; PUFA OR: 1.1670, 95% CI = 1.0497-1.2973, while SFA was negatively correlated (OR: 0.8005, 95% CI: 0.7045-0.9096).
Our research presents compelling evidence of a causal association between certain fatty acids and indicators of the aging process. In particular, MUFA and PUFA may play a role in slowing down the aging process, while SFAs may contribute to accelerated aging. These findings could have significant implications for dietary recommendations aimed at promoting healthy aging.
Univariable and multivariable Mendelian randomization (MR) was used to analyze the relationship between five types of fatty acids-polyunsaturated fatty acid (PUFA), monounsaturated fatty acid (MUFA), saturated fatty acid (SFA), Omega-6 fatty acid (Omega-6 FA), and Omega-3 fatty acid (Omega-3 FA) and three markers of aging: telomere length (TL), frailty index (FI), and facial aging (FclAg). The primary approach for Mendelian randomization (MR) analysis involved utilizing the inverse variance weighted (IVW) method, with additional supplementary methods employed.
Univariate MR analysis revealed that MUFA, PUFA, SFA, and Omega-6 fatty acids were positively associated with TL (MUFA OR: 1.019, 95% CI: 1.006-1.033; PUFA OR: 1.014, 95% CI: 1.002-1.026; SFA OR: 1.016, 95% CI: 1.002-1.031; Omega-6 FAs OR=1.031, 95% CI: 1.006-1.058). PUFA was also associated with a higher FI (OR: 1.033, 95% CI: 1.009-1.057). In multivariate MR analysis, after adjusting for mutual influences among the five fatty acids, MUFA and PUFA were positively independently associated with TL (MUFA OR: 1.1508, 95% CI = 1.0724-1.2350; PUFA OR: 1.1670, 95% CI = 1.0497-1.2973, while SFA was negatively correlated (OR: 0.8005, 95% CI: 0.7045-0.9096).
Our research presents compelling evidence of a causal association between certain fatty acids and indicators of the aging process. In particular, MUFA and PUFA may play a role in slowing down the aging process, while SFAs may contribute to accelerated aging. These findings could have significant implications for dietary recommendations aimed at promoting healthy aging.
摘要：
背景：先前的观察性研究表明，脂肪酸与衰老相关疾病之间可能存在联系，对其健康影响提出质疑。然而,两者之间的因果关系仍然不确定。
方法：单变量和多变量孟德尔随机化（MR）用于分析五种脂肪酸-多不饱和脂肪酸（PUFA）之间的关系，单不饱和脂肪酸（MUFA），饱和脂肪酸(SFA)Omega-6脂肪酸（Omega-6FA），和Omega-3脂肪酸（Omega-3FA）和三个衰老标记：端粒长度（TL），脆弱指数(FI)，和面部老化（FclAg）。孟德尔随机化（MR）分析的主要方法涉及利用逆方差加权（IVW）方法，采用额外的补充方法。
结果：单变量MR分析显示MUFA，PUFA,SFA,和Omega-6脂肪酸与TL呈正相关（MUFAOR：1.019，95％CI：1.006-1.033；PUFAOR：1.014，95％CI：1.002-1.026；SFAOR：1.016，95％CI：1.002-1.031；Omega-6FAsOR=1.031，95％CI：1.006-1.058）。PUFA也与较高的FI相关(OR:1.033,95%CI:1.009-1.057)。在多变量MR分析中，在调整了五种脂肪酸之间的相互影响后，MUFA和PUFA与TL呈独立正相关(MUFAOR:1.1508,95%CI=1.0724-1.2350;PUFAOR:1.1670,95%CI=1.0497-1.2973,而SFA呈负相关(OR:0.8005,95%CI:0.7045-0.9096)。
结论：我们的研究提供了令人信服的证据，证明某些脂肪酸与衰老过程指标之间存在因果关系。特别是,MUFA和PUFA可能在减缓衰老过程中发挥作用，而SFA可能有助于加速衰老。这些发现可能对旨在促进健康衰老的饮食建议具有重要意义。
方法：单变量和多变量孟德尔随机化（MR）用于分析五种脂肪酸-多不饱和脂肪酸（PUFA）之间的关系，单不饱和脂肪酸（MUFA），饱和脂肪酸(SFA)Omega-6脂肪酸（Omega-6FA），和Omega-3脂肪酸（Omega-3FA）和三个衰老标记：端粒长度（TL），脆弱指数(FI)，和面部老化（FclAg）。孟德尔随机化（MR）分析的主要方法涉及利用逆方差加权（IVW）方法，采用额外的补充方法。
结果：单变量MR分析显示MUFA，PUFA,SFA,和Omega-6脂肪酸与TL呈正相关（MUFAOR：1.019，95％CI：1.006-1.033；PUFAOR：1.014，95％CI：1.002-1.026；SFAOR：1.016，95％CI：1.002-1.031；Omega-6FAsOR=1.031，95％CI：1.006-1.058）。PUFA也与较高的FI相关(OR:1.033,95%CI:1.009-1.057)。在多变量MR分析中，在调整了五种脂肪酸之间的相互影响后，MUFA和PUFA与TL呈独立正相关(MUFAOR:1.1508,95%CI=1.0724-1.2350;PUFAOR:1.1670,95%CI=1.0497-1.2973,而SFA呈负相关(OR:0.8005,95%CI:0.7045-0.9096)。
结论：我们的研究提供了令人信服的证据，证明某些脂肪酸与衰老过程指标之间存在因果关系。特别是,MUFA和PUFA可能在减缓衰老过程中发挥作用，而SFA可能有助于加速衰老。这些发现可能对旨在促进健康衰老的饮食建议具有重要意义。
