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膳食血液标志物模式与 FRAILOMIC 验证阶段的虚弱状态有关。

Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase.

机构信息

Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany.

Food4Future (F4F), c/o Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Theodor-Echtermeyer-Weg 1, 14979 Grossbeeren, Germany.

出版信息

Nutrients. 2023 Feb 24;15(5):1142. doi: 10.3390/nu15051142.

DOI:10.3390/nu15051142
PMID:36904142
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10005398/
Abstract

The influence of nutritional factors on frailty syndrome is still poorly understood. Thus, we aimed to confirm cross-sectional associations of diet-related blood biomarker patterns with frailty and pre-frailty statuses in 1271 older adults from four European cohorts. Principal component analysis (PCA) was performed based on plasma levels of α-carotene, β-carotene, lycopene, lutein + zeaxanthin, β-cryptoxanthin, α-tocopherol, γ-tocopherol and retinol. Cross-sectional associations between biomarker patterns and frailty status, according to Fried's frailty criteria, were assessed by using general linear models and multinomial logistic regression models as appropriate with adjustments for the main potential confounders. Robust subjects had higher concentrations of total carotenoids, β-carotene and β-cryptoxanthin than frail and pre-frail subjects and had higher lutein + zeaxanthin concentrations than frail subjects. No associations between 25-Hydroxyvitamin D3 and frailty status were observed. Two distinct biomarker patterns were identified in the PCA results. The principal component 1 (PC1) pattern was characterized by overall higher plasma levels of carotenoids, tocopherols and retinol, and the PC2 pattern was characterized by higher loadings for tocopherols, retinol and lycopene together and lower loadings for other carotenoids. Analyses revealed inverse associations between PC1 and prevalent frailty. Compared to participants in the lowest quartile of PC1, those in the highest quartile were less likely to be frail (odds ratio: 0.45, 95% CI: 0.25-0.80, = 0.006). In addition, those in the highest quartile of PC2 showed higher odds for prevalent frailty (2.48, 1.28-4.80, = 0.007) than those in the lowest quartile. Our findings strengthen the results from the first phase of the FRAILOMIC project, indicating carotenoids are suitable components for future biomarker-based frailty indices.

摘要

营养因素对虚弱综合征的影响仍知之甚少。因此,我们旨在通过对来自四个欧洲队列的 1271 名老年人的饮食相关血液生物标志物模式与虚弱和虚弱前期状态的横断面关联进行确认。基于血浆水平进行主成分分析 (PCA) ,包括 α-胡萝卜素、β-胡萝卜素、番茄红素、叶黄素+玉米黄质、β-隐黄质、α-生育酚、γ-生育酚和视黄醇。使用一般线性模型和多项逻辑回归模型,根据 Fried 的虚弱标准评估生物标志物模式与虚弱状态之间的横断面关联,并适当调整主要潜在混杂因素。与虚弱和虚弱前期受试者相比,健壮受试者的总类胡萝卜素、β-胡萝卜素和 β-隐黄质浓度更高,叶黄素+玉米黄质浓度更高。25-羟维生素 D3 与虚弱状态之间没有关联。在 PCA 结果中确定了两个不同的生物标志物模式。主成分 1 (PC1) 模式的特点是总体上更高的类胡萝卜素、生育酚和视黄醇血浆水平,而主成分 2 (PC2) 模式的特点是生育酚、视黄醇和番茄红素的负荷较高,而其他类胡萝卜素的负荷较低。分析显示 PC1 与普遍虚弱呈负相关。与 PC1 最低四分位的参与者相比,最高四分位的参与者虚弱的可能性较小(比值比:0.45,95%置信区间:0.25-0.80, = 0.006)。此外,PC2 最高四分位的参与者虚弱的可能性较高(2.48,1.28-4.80, = 0.007)比最低四分位的参与者。我们的研究结果加强了 FRAILOMIC 项目第一阶段的结果,表明类胡萝卜素是未来基于生物标志物的虚弱指数的合适成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a484/10005398/415eb07d716b/nutrients-15-01142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a484/10005398/f8afbeba5caa/nutrients-15-01142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a484/10005398/415eb07d716b/nutrients-15-01142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a484/10005398/f8afbeba5caa/nutrients-15-01142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a484/10005398/415eb07d716b/nutrients-15-01142-g002.jpg

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