Berkowitz Loni, Echeverría Guadalupe, Salazar Cristian, Faúndez Cristian, Coe Christopher L, Ryff Carol, Rigotti Attilio
Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330077, Chile.
Department of Psychology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Nutrients. 2024 Nov 22;16(23):3995. doi: 10.3390/nu16233995.
The aim of this study was to identify the blood lipidomic profile associated with a healthy eating pattern in a middle-aged US population sample and to determine its relationship with metabolic disorders and cardiovascular risk (CVR).
Self-reported information about diet and blood samples were obtained from 2114 adult participants in the Midlife in the United States study (MIDUS). Food intake data were used to design a Healthy Diet Index (MIDUS-HEI) and to evaluate the predictive value by examining its association with health variables. The associated lipid signature (HEI-LS) was constructed using Lasso regression, from lipidomic data (LC/MS). Associations between HEI-LS, cardiometabolic biomarkers, and estimated CVR were assessed using multiple linear regression.
MIDUS-HEI score was a robust indicator of dietary quality and inversely associated with body mass index ( < 0.001) and metabolic syndrome ( = 0.012). A lipidomic signature comprising 57 distinct lipid species was highly correlated with the MIDUS-HEI score (r = 0.39, < 10⁻). It was characterized by lower levels of saturated fatty acid and adrenic acid (-6) and higher levels of docosahexaenoic acid (-3). Healthier HEI-LS scores were strongly associated with better cardiometabolic indicators and lower estimated CVR (OR 0.89 CI 95% 0.87-0.91).
The MIDUS-HEI effectively assessed dietary quality, confirming the link between poor diet quality and metabolic disorders in American population. Lipidomic profiling offered an objective assessment of dietary patterns and provided insights into the relationship between diet quality, metabolic responses, and CVR. This approach supports precision nutrition strategies for at-risk populations.
本研究旨在确定美国中年人群样本中与健康饮食模式相关的血脂组学特征，并确定其与代谢紊乱和心血管风险（CVR）的关系。
从美国中年研究（MIDUS）的2114名成年参与者中获取了关于饮食和血液样本的自我报告信息。食物摄入数据用于设计健康饮食指数（MIDUS-HEI），并通过检查其与健康变量的关联来评估预测价值。使用套索回归从脂质组学数据（LC/MS）构建相关的脂质特征（HEI-LS）。使用多元线性回归评估HEI-LS、心脏代谢生物标志物和估计的CVR之间的关联。
MIDUS-HEI评分是饮食质量的有力指标，与体重指数呈负相关（<0.001）和代谢综合征（=0.012）。由57种不同脂质种类组成的脂质组学特征与MIDUS-HEI评分高度相关（r = 0.39，<10⁻）。其特征是饱和脂肪酸和肾上腺酸水平较低（-6），二十二碳六烯酸水平较高（-3）。更健康的HEI-LS评分与更好的心脏代谢指标和更低的估计CVR密切相关（OR 0.89，CI 95% 0.87 - 0.91）。
MIDUS-HEI有效地评估了饮食质量，证实了美国人群中饮食质量差与代谢紊乱之间的联系。脂质组学分析提供了对饮食模式的客观评估，并深入了解了饮食质量、代谢反应和CVR之间的关系。这种方法支持针对高危人群的精准营养策略。
