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习惯性膳食硝酸盐摄入与澳大利亚老龄化影像学、生物标志物和生活方式研究中的认知:一项前瞻性队列研究。

Habitual dietary nitrate intake and cognition in the Australian Imaging, Biomarkers and Lifestyle Study of ageing: A prospective cohort study.

机构信息

Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.

Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia; The Danish Cancer Society Research Centre, Copenhagen, Denmark.

出版信息

Clin Nutr. 2023 Aug;42(8):1251-1259. doi: 10.1016/j.clnu.2023.05.022. Epub 2023 Jun 5.

Abstract

BACKGROUND & AIMS: Dietary nitrate improves cardiovascular health via a nitric oxide (NO) pathway. NO is key to both cardiovascular and brain health. There is also a strong association between vascular risk factors and brain health. Dietary nitrate intake could therefore be associated with better cognitive function and reduced risk of cognitive decline. This is yet to be investigated. The aim of this study was to investigate the association between habitual intake of dietary nitrate from sources where nitrate is naturally present, and cognitive function, and cognitive decline, in the presence or absence of the apolipoprotein E (APOE) ε4 allele.

METHODS

The study included 1254 older adult participants of the Australian Imaging, Biomarkers and Lifestyle Study of Ageing who were cognitively normal at baseline. Plant-derived, vegetable-derived, animal derived nitrate (not including meat where nitrate is an allowed additive), and total nitrate intakes were calculated from baseline food frequency questionnaires using comprehensive nitrate databases. Cognition was assessed at baseline and every 18 months over a follow-up period of 126 months using a comprehensive neuropsychological test battery. Multivariable-adjusted linear mixed effect models were used to examine the association between baseline nitrate intake and cognition over the 126 months (median [IQR] follow-up time of 36 [18-72] months), stratified by APOE ε4 carrier status.

RESULTS

In non APOE ε4 carriers, for every 60 mg/day higher intake of plant-derived nitrate at baseline there was an associated higher language score [β (95% CI): 0.10 (0.01, 0.19)] over 126 months, after multivariable adjustments. In APOE ε4 carriers, there was an associated better episodic recall memory [0.24 (0.08, 0.41)] and recognition memory [0.15 (0.01, 0.30)] scores. Similar associations were seen for the intakes of vegetable-derived and total nitrate. Additionally, in APOE ε4 carriers, for every 6 mg/day higher intake of animal-derived nitrate (excluding meat with nitrate as an allowed additive) at baseline there was an associated higher executive function score [β (95% CI): 1.41 (0.42, 2.39)]. We did not find any evidence of an association between dietary nitrate intake and rate of cognitive decline.

CONCLUSION

Our results suggest that habitual intake of dietary nitrate from sources where nitrate is naturally present impacts cognitive performance in an APOE genotype contingent manner. Further work is needed to validate our findings and understand potential mechanisms underlying the observed effects.

摘要

背景与目的

膳食硝酸盐通过一氧化氮(NO)途径改善心血管健康。NO 是心血管和大脑健康的关键。血管危险因素与大脑健康之间也存在很强的关联。因此,膳食硝酸盐的摄入可能与更好的认知功能和降低认知能力下降的风险有关。这一点尚未得到研究。本研究的目的是调查习惯性摄入天然存在硝酸盐的食物来源中的膳食硝酸盐与认知功能和认知能力下降之间的关系,同时考虑载脂蛋白 E (APOE) ε4 等位基因的存在。

方法

该研究纳入了澳大利亚成像、生物标志物和生活方式衰老研究中的 1254 名认知正常的老年参与者。基线时,使用综合硝酸盐数据库,根据基线食物频率问卷计算植物来源、蔬菜来源、动物来源(不包括硝酸盐作为允许添加剂的肉类)和总硝酸盐的摄入量。在 126 个月的随访期间,使用全面的神经心理学测试组合,每 18 个月评估一次认知能力。使用多变量调整的线性混合效应模型,根据 APOE ε4 携带状态,对基线硝酸盐摄入与 126 个月期间的认知能力之间的关系进行分层分析(中位数 [IQR] 随访时间为 36 [18-72] 个月)。

结果

在非 APOE ε4 携带者中,与基线时植物来源硝酸盐摄入量每增加 60mg/天相关,语言得分更高[β(95%CI):0.10(0.01,0.19)],经过多变量调整后。在 APOE ε4 携带者中,与更好的情景记忆回忆[0.24(0.08,0.41)]和识别记忆[0.15(0.01,0.30)]得分相关。蔬菜来源和总硝酸盐摄入量也存在类似的关联。此外,在 APOE ε4 携带者中,与基线时动物来源硝酸盐(不包括允许添加硝酸盐的肉类)摄入量每增加 6mg/天相关,与执行功能评分更高相关[β(95%CI):1.41(0.42,2.39)]。我们没有发现饮食硝酸盐摄入与认知下降速度之间存在任何关联。

结论

我们的研究结果表明,习惯性摄入天然存在硝酸盐的食物来源中的膳食硝酸盐会以 APOE 基因型为条件影响认知表现。需要进一步的工作来验证我们的发现,并理解观察到的影响背后的潜在机制。

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