Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation.

Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation.
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针对氨基酸代谢谱来识别心房颤动的新代谢特征。

DOI:
10.1042/cs20180247
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发表时间:
2018-10-15
期刊:
Clinical science (London, England : 1979)
影响因子:
--
通讯作者:
Wu Y
Wu Y
中科院分区:
其他
文献类型:
--
作者:
She J;Guo M;Li H;Liu J;Liang X;Liu P;Zhou B;Liu S;Deng Y;Lou B;Sun C;Yuan Z;Wu Y

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背景:心房颤动(AF)是最常见的心律失常,其发病率在全球范围内呈上升趋势。然而,人们对房颤的病理生理机制仍知之甚少,也缺乏诊断和预测房颤预后的循环标志物。在本研究中,通过测量 AF 患者的代谢特征和分析血浆氨基酸水平,我们试图确定氨基酸代谢是否与 AF 的发生相关。方法:连续纳入因房颤入院的患者。禁食过夜后获得血浆样品,然后使用气相色谱/质谱 (GC/MS) 测量 61 种氨基酸的分布。结果:23 名 AF 患者和 37 名对照患者参加了该研究。 AF 中许多血浆氨基酸发生改变,这对 AF 具有显着的预测价值。有趣的是,随着 AF 的持续存在,循环中的 4-羟基吡咯烷-2-羧基逐渐降低。与对照组相比,AF 中血浆氨基酸水平之间的相关性更强。结论:通过利用非目标代谢谱调查,我们发现了许多改变的氨基酸,这些氨基酸对 AF 具有诊断价值。增强的氨基酸相关网络进一步将 AF 鉴定为代谢紊乱。
Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia whose incidence is on the rise globally. However, the pathophysiologic mechanism of AF remains poorly understood and there has been a lack of circulatory markers to diagnose and predict prognosis of AF. In the present study, by measuring metabolic profile and analyzing plasma amino acid levels in AF patients, we sought to determine whether amino acid metabolism was correlated to the occurrence of AF. Methods: Consecutive patients admitted to hospital for AF were enrolled. Plasma samples were obtained after overnight fast and a profile of 61 amino acids was then measured using gas chromatography/mass spectrometry (GC/MS). Results: Twenty-three AF and thirty-seven control patients were enrolled in the study. A number of plasma amino acids were altered in AF, which showed significant prediction value for AF. Intriguingly, circulating 4-hydroxypyrrolidine-2-carboxylic was gradually lowered with the persistence of AF. Plasma amino acid levels were more strongly correlated with each other in AF as compared with control. Conclusion: By utilizing non-target metabolic profile surveys, we have found a number of altered amino acids, which exhibit diagnostic value for AF. Enhanced amino acids correlation network further identified AF as a metabolism disorder.