Amino Acid Associations in Healthy and Unhealthy Obesity.

IF 3.7 3区 医学 Q2 NUTRITION & DIETETICS
Gahyun Lim, Zachery R Jarrell, Young-Mi Go, Dean P Jones
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引用次数: 0

Abstract

Background: Prior research shows that amino acid metabolism plays a role in the biological processes distinguishing metabolically healthy nonobese (MHN), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) phenotypes. Metabolic network analysis tools are available to test for differences in amino acid associations but have not been applied to MHN, MHO, and MUO.

Objectives: We aimed to characterize amino acid metabolic networks and identify key metabolic shifts distinguishing MHN, MHO, and MUO phenotypes through metabolomics and network analysis.

Methods: The plasma metabolome was analyzed by liquid chromatography with high-resolution mass spectrometry in a cross-sectional study of 213 middle-aged adults classified as MHN, MHO, or MUO based on body mass index, blood pressure, blood lipids, and blood glucose. Differential metabolic network and pathway enrichment analyses were used to measure the centrality of amino acid metabolism and associated metabolic pathways.

Results: Partial least squares-discriminant analysis showed that amino acids were among the top discriminatory metabolites (variable importance in projection >2) for MHN, MHO, and MUO and included tryptophan (Trp), phenylalanine (Phe), tyrosine, cystine (disulfide of cysteine), alanine, glutamate, valine, and leucine/isoleucine. Network analyses with these discriminatory amino acids showed that Trp had a high network centrality in all groups, with the highest value in MHN and MHO. Phe gained centrality in obese phenotypes and became the central amino acid in MUO. Pathway enrichment analyses revealed that Phe-centered metabolic communities in obese groups (MHO and MUO) were enriched fatty acid oxidation pathways. Network and pathway analyses using all amino acids showed comparable results.

Conclusions: Amino acid networks differ in healthy and unhealthy obesity phenotypes, with the most central amino acid Trp in MHN and MHO shifting to Phe in MUO. Mechanistic studies are needed to determine whether increased Phe centrality is a cause or effect of metabolic dysfunctions in obesity.

氨基酸与健康和不健康肥胖的关系。
背景:已有研究表明,氨基酸代谢在区分代谢健康非肥胖(MHN)、代谢健康肥胖(MHO)和代谢不健康肥胖(MUO)表型的生物学过程中起着重要作用。代谢网络分析工具可用于测试氨基酸关联的差异,但尚未应用于MHN, MHO和MUO。目的:我们旨在通过代谢组学和网络分析来表征氨基酸代谢网络,并确定区分MHN、MHO和MUO表型的关键代谢变化。方法:对213名根据体重指数、血压、血脂和血糖被分类为MHN、MHO或MUO的中年人进行横断面研究,采用液相色谱和高分辨率质谱分析血浆代谢组。差异代谢网络和途径富集分析用于测量氨基酸代谢和相关代谢途径的中心性。结果:偏最小二乘判别分析显示,氨基酸是MHN、MHO和MUO的主要鉴别代谢物(预测bbbb2的重要变量),包括色氨酸(Trp)、苯丙氨酸(Phe)、酪氨酸、胱氨酸(半胱氨酸的二硫)、丙氨酸、谷氨酸、缬氨酸和亮氨酸/异亮氨酸。网络分析表明,色氨酸在所有组中均具有较高的网络中心性,其中MHN和MHO的网络中心性最高。Phe在肥胖表型中获得中心地位,并成为MUO的中心氨基酸。途径富集分析显示,肥胖组以phe为中心的代谢群落(MHO和MUO)是富集的脂肪酸氧化途径。使用所有氨基酸的网络和途径分析显示了类似的结果。结论:健康和不健康肥胖表型的氨基酸网络不同,MHN和MHO中最中心的氨基酸Trp在MUO中转移到Phe。需要进行机制研究来确定Phe中心性增加是肥胖代谢功能障碍的原因还是结果。
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来源期刊
Journal of Nutrition
Journal of Nutrition 医学-营养学
CiteScore
7.60
自引率
4.80%
发文量
260
审稿时长
39 days
期刊介绍: The Journal of Nutrition (JN/J Nutr) publishes peer-reviewed original research papers covering all aspects of experimental nutrition in humans and other animal species; special articles such as reviews and biographies of prominent nutrition scientists; and issues, opinions, and commentaries on controversial issues in nutrition. Supplements are frequently published to provide extended discussion of topics of special interest.
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