Lower Mason J, DeCataldo Mia K, Kraynak Thomas E, Gianaros Peter J
Department of Neuroscience (Lower); Department of Psychology (DeCataldo, Gianaros); Department of Psychiatry (Kraynak), University of Pittsburgh, Pittsburgh, Pennsylvania.
Biopsychosoc Sci Med. 2025;87(6):362-371. doi: 10.1097/PSY.0000000000001399. Epub 2025 May 9.
Due to population aging, the increasing prevalence of Alzheimer's disease (AD) and related dementias are major public health concerns. Dietary consumption of antioxidant nutrients, in particular the carotenoid β-carotene, has been associated with less age-related neurocognitive decline. What is unclear, however, is the extent to which antioxidant nutrients may exert neuroprotective effects through their influence on established indicators of age-related changes in brain tissue. This study thus tested associations of circulating β-carotene and other nutrients with a structural neuroimaging indicator of brain age derived from cross-validated machine learning models trained to predict chronological age from brain tissue morphology in independent cohorts.
Midlife adults (N = 132, aged 30.4 to 50.8 y, 59 female at birth) underwent a structural magnetic resonance imaging (MRI) protocol and fasting phlebotomy to assess plasma concentrations of β-carotene, retinol, γ-tocopherol, α-tocopherol, and β-cryptoxanthin.
In regression analyses adjusting for chronological age, sex at birth, smoking status, MRI image quality, season of testing, annual income, and education, greater circulating levels of β-carotene were associated with a lower (ie, younger) predicted brain age ( β = -0.23, 95% CI = -0.40 to -0.07, p = .006). Other nutrients were not statistically associated with brain age, and results persisted after additional covariate control for body mass index, cortical volume, and cortical thickness.
These cross-sectional findings are consistent with the possibility that dietary intake of β-carotene may be associated with slower biological aging at the level of the brain, as reflected by a neuroimaging indicator of brain age.
由于人口老龄化,阿尔茨海默病(AD)及相关痴呆症患病率的不断上升成为主要的公共卫生问题。饮食中摄入抗氧化营养素,特别是类胡萝卜素β-胡萝卜素,与年龄相关的神经认知衰退减缓有关。然而,尚不清楚抗氧化营养素在多大程度上可能通过影响脑组织中与年龄相关变化的既定指标来发挥神经保护作用。因此,本研究测试了循环β-胡萝卜素和其他营养素与脑龄的结构神经影像指标之间的关联,该指标来自于经过交叉验证的机器学习模型,这些模型经过训练,可根据独立队列中脑组织形态预测实际年龄。
中年成年人(N = 132,年龄30.4至50.8岁,出生时59名女性)接受了结构磁共振成像(MRI)检查和空腹静脉采血,以评估血浆中β-胡萝卜素、视黄醇、γ-生育酚、α-生育酚和β-隐黄质的浓度。
在对实际年龄、出生时性别、吸烟状况、MRI图像质量、测试季节、年收入和教育程度进行调整的回归分析中,较高的循环β-胡萝卜素水平与较低(即较年轻)的预测脑龄相关(β = -0.23,95%CI = -0.40至-0.07,p = 0.006)。其他营养素与脑龄无统计学关联,在对体重指数、皮质体积和皮质厚度进行额外协变量控制后,结果依然成立。
这些横断面研究结果与以下可能性一致,即饮食中摄入β-胡萝卜素可能与大脑水平上较慢的生物衰老有关,这一点由脑龄的神经影像指标反映出来。