Plasma metabolomics profiles in Black and White participants of the Adventist Health Study-2 cohort.
Plasma metabolomics profiles in Black and White participants of the Adventist Health Study-2 cohort.
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DOI：
10.1186/s12916-023-03101-4
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发表时间：
2023-10-31
期刊：
影响因子：
9.3
通讯作者：
Fraser, Gary E.
中科院分区：
文献类型：
--
作者：
Butler, Fayth M.;Utt, Jason;Mathew, Roy O.;Casiano, Carlos A.;Montgomery, Suzanne;Wiafe, Seth A.;Lampe, Johanna W.;Fraser, Gary E.
关键词：
美国黑人患心脏代谢疾病和其他慢性疾病的风险存在差异。 Adventist Health Study-2 (AHS-2) 队列的研究结果表明，植物性饮食模式和健康生活方式因素与预防此类疾病之间存在关联。因此，除了健康的社会决定因素之外，与慢性疾病差异相关的代谢特征的种族差异很可能主要由饮食和生活方式来解释。使用超高效液相色谱-串联质谱 (UPLC-MS/MS) 和包含 892 种代谢物的全球平台，对 AHS-2 350 名参与者（包括 171 名黑人和 179 名白人参与者）的血浆样本进行了非靶向血浆代谢组学筛查。使用线性回归分析了按种族划分的代谢物或生化亚类的差异，并考虑了针对已知混杂因素、饮食和/或其他生活方式行为、社会脆弱性和社会心理压力进行调整的各种模型。使用 Storey 排列方法来调整 FDR < 0.05 时的错误发现。在调整错误发现后 (FDR < 0.05)，线性回归显示，在比较黑人和白人参与者时，超过 40% 的个体代谢物或生化亚类存在丰度差异，其中绝大多数在黑人中表现出较低的丰度。饮食模式和社会经济或社会心理压力的调整并没有明显改变这种关联。在黑人参与者中显示出持续较低丰度的代谢物亚类包括各种脂质，例如溶血磷脂、磷脂酰乙醇胺、单酰基甘油、二酰基甘油和长链单不饱和脂肪酸，以及其他亚类或脂质类别。在所有生化亚类中，肌酸代谢仅在黑人参与者中显示出较高的丰度，尽管在该亚类的代谢物中，只有肌酸在调整肾小球滤过率后显示出不同的丰度。黑人参与者中丰度较高的值得注意的代谢物包括对羟基苯甲酸酯硫酸甲酯和丙酯、胡椒碱代谢物以及相当比例的乙酰化氨基酸，包括许多先前发现与肾小球滤过率相关的氨基酸。当比较 AHS-2 队列的黑人和白人参与者时，代谢特征的差异很明显。除了其他环境或遗传因素外，这些差异可能部分归因于饮食模式协变量无法充分解释的饮食行为。这些代谢物和相关亚类的改变可能对美国黑人慢性病的预防产生影响。在线版本包含可在 10.1186/s12916-023-03101-4 获取的补充材料。
Black Americans suffer disparities in risk for cardiometabolic and other chronic diseases. Findings from the Adventist Health Study-2 (AHS-2) cohort have shown associations of plant-based dietary patterns and healthy lifestyle factors with prevention of such diseases. Hence, it is likely that racial differences in metabolic profiles correlating with disparities in chronic diseases are explained largely by diet and lifestyle, besides social determinants of health. Untargeted plasma metabolomics screening was performed on plasma samples from 350 participants of the AHS-2, including 171 Black and 179 White participants, using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and a global platform of 892 metabolites. Differences in metabolites or biochemical subclasses by race were analyzed using linear regression, considering various models adjusted for known confounders, dietary and/or other lifestyle behaviors, social vulnerability, and psychosocial stress. The Storey permutation approach was used to adjust for false discovery at FDR < 0.05. Linear regression revealed differential abundance of over 40% of individual metabolites or biochemical subclasses when comparing Black with White participants after adjustment for false discovery (FDR < 0.05), with the vast majority showing lower abundance in Blacks. Associations were not appreciably altered with adjustment for dietary patterns and socioeconomic or psychosocial stress. Metabolite subclasses showing consistently lower abundance in Black participants included various lipids, such as lysophospholipids, phosphatidylethanolamines, monoacylglycerols, diacylglycerols, and long-chain monounsaturated fatty acids, among other subclasses or lipid categories. Among all biochemical subclasses, creatine metabolism exclusively showed higher abundance in Black participants, although among metabolites within this subclass, only creatine showed differential abundance after adjustment for glomerular filtration rate. Notable metabolites in higher abundance in Black participants included methyl and propyl paraben sulfates, piperine metabolites, and a considerable proportion of acetylated amino acids, including many previously found associated with glomerular filtration rate. Differences in metabolic profiles were evident when comparing Black and White participants of the AHS-2 cohort. These differences are likely attributed in part to dietary behaviors not adequately explained by dietary pattern covariates, besides other environmental or genetic factors. Alterations in these metabolites and associated subclasses may have implications for the prevention of chronic diseases in Black Americans. The online version contains supplementary material available at 10.1186/s12916-023-03101-4.
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