血浆氨基酸谱鉴定对心力衰竭患者具有预测和诊断价值

Veysel Tosun, M.D, Yasemin Behram Kandemir M.D, İsmail Koyuncu, M.D, Özgür Yüksekdağ, M.D, Ünal Güntekin, M.D
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引用次数: 0

摘要

背景:代谢紊乱对心力衰竭(HF)的发病和进展有影响。由于这些破坏在HF患者中是显著的,因此确定新的生物标志物对于促进HF的测定是必要的。在本研究中,我们计划评估血浆氨基酸与HF之间的关系。材料与方法:本横断面前瞻性研究纳入40例心肌病(CMP)患者和40例健康对照。采用液相色谱-质谱法(LC-MS)对空腹血浆血液样本进行了26种氨基酸的分析。结果:CMP患者的5种氨基酸(天冬酰胺、β -丙氨酸、苯丙氨酸、酪氨酸和异亮氨酸)水平较高。谷氨酰胺、异亮氨酸和甘氨酸能有效区分CMP和健康对照。异亮氨酸和-丙氨酸可能是CMP的潜在生物标志物。异亮氨酸/异亮氨酸、组氨酸/异亮氨酸、天冬氨酸/异亮氨酸和甘氨酸/苯丙氨酸可以预测CMP患者。发现三种不同的途径(苯丙氨酸代谢、酪氨酸代谢和苯丙氨酸、酪氨酸、色氨酸的生物合成)是HF的潜在分子代谢。结论:本研究表明空腹血浆氨基酸与HF密切相关。用LC-MS监测这些氨基酸有助于心衰的诊断和预测,并提供新的诊断目标和治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amino Acid Profile Identified In Plasma Has Predictive and Diagnostic Value in Heart Failure Patients
Background: Metabolic disruptions have effects on the pathogenesis and progression of heart failure (HF). Because of these disruptions are remarkable in HF patients, identity of new biomarkers is necessary to facilitate the determination of HF. In the present study we planned to evaluate the relationship between plasma amino acids and HF. Materials and methods: 40 patients with cardiomyopathy (CMP) and 40 healthy controls were included in this cross-sectional prospective study. A profile consisting of 26 amino acids was measured by liquid chromatography and mass spectrometry method (LC-MS) from blood samples taken from fasting plasma. Results: 5 amino acids (asparagine, beta-alanine, phenylalanine, tyrosine, and isoleucine) levels were higher in CMP patients. Glutamine, isoleucine, and glycine could effectively distinguish CMP and healthy controls. Isoleucine and beta-alanine may be potential biomarkers for CMP. Isoleucine/alloisoleucine, histidine/isoleucine, aspartic acid/isoleucine, and glycine/phenylalanine could predict CMP patients. Three differential pathways (phenylalanine metabolism, tyrosine metabolism, and phenylalanine, tyrosine, tryptophan biosynthesis) were found to be the underlying molecular metabolisms of HF. Conclusion: The present study demonstrating that fasting plasma amino acids were closely associated with HF. Monitoring these amino acids with LC-MS could help the diagnosis and predicting HF, and provide new diagnostic goals and curative practices.
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