调查健康大脑老化的营养生物标志物:多模态大脑成像研究。

IF 4.1 Q2 GERIATRICS & GERONTOLOGY npj aging Pub Date : 2024-05-21 DOI:10.1038/s41514-024-00150-8
Christopher E Zwilling, Jisheng Wu, Aron K Barbey
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引用次数: 0

摘要

营养认知神经科学这一新兴领域旨在发现促进大脑健康老化的特定食物和营养素。这项工作的核心是发现营养成分的特征,以便有针对性地采取营养干预措施,促进大脑结构、功能和新陈代谢等多模态神经影像测量方面的大脑健康。因此,本研究开展了一项规模最大、最全面的营养生物标志物研究,在 100 名老年人样本中对大脑健康的多模态神经影像测量进行了检查。为了评估大脑健康状况,研究人员采用了一整套成熟的认知和大脑成像测量方法,以及 13 种基于血液的饮食和营养生物标志物。这项研究的结果揭示了不同的衰老模式,并根据层次聚类将其分为两种大脑健康表型。一种表型表现出衰老速度加快,而另一种则表现出衰老速度慢于预期。对区分这些表型的膳食生物标志物进行的 t 检验分析表明,特定脂肪酸、抗氧化剂和维生素的浓度较高。根据均值的 t 检验,具有这种营养成分的研究参与者的认知能力得分更高,大脑衰老的时间也更晚。值得注意的是,人口统计学、体能水平和人体测量学等参与者特征并不能解释所观察到的大脑衰老差异。因此,本研究确定的营养模式有助于设计以神经科学为指导的饮食干预措施,以促进大脑的健康老化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Investigating nutrient biomarkers of healthy brain aging: a multimodal brain imaging study.

The emerging field of Nutritional Cognitive Neuroscience aims to uncover specific foods and nutrients that promote healthy brain aging. Central to this effort is the discovery of nutrient profiles that can be targeted in nutritional interventions designed to promote brain health with respect to multimodal neuroimaging measures of brain structure, function, and metabolism. The present study therefore conducted one of the largest and most comprehensive nutrient biomarker studies examining multimodal neuroimaging measures of brain health within a sample of 100 older adults. To assess brain health, a comprehensive battery of well-established cognitive and brain imaging measures was administered, along with 13 blood-based biomarkers of diet and nutrition. The findings of this study revealed distinct patterns of aging, categorized into two phenotypes of brain health based on hierarchical clustering. One phenotype demonstrated an accelerated rate of aging, while the other exhibited slower-than-expected aging. A t-test analysis of dietary biomarkers that distinguished these phenotypes revealed a nutrient profile with higher concentrations of specific fatty acids, antioxidants, and vitamins. Study participants with this nutrient profile demonstrated better cognitive scores and delayed brain aging, as determined by a t-test of the means. Notably, participant characteristics such as demographics, fitness levels, and anthropometrics did not account for the observed differences in brain aging. Therefore, the nutrient pattern identified by the present study motivates the design of neuroscience-guided dietary interventions to promote healthy brain aging.

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