稳定性和不稳定性心绞痛的预后循环特征代谢物:核磁共振波谱的应用。

IF 4.1 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Ashish Gupta, Shiridhar Kashyap, Deepak Kumar, Khushbhu Meena, Anupam Kumar, Ankit Kumar Sahu, Sudeep Kumar, Aditya Kapoor
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引用次数: 0

摘要

尽管人们一直在努力探索稳定型(SA)和不稳定型(US)心绞痛的代谢特征,但令人担忧的是,迄今为止,还没有临床验证的循环生化特征与有创性冠状动脉造影筛查的内在解剖变化相对抗。因此,本研究的目的是利用过滤后的血清代谢组学和高通量核磁共振波谱技术生成精确的生化指纹,以准确区分SA或US型心绞痛患者的代谢特征。该研究包括118份过滤后的血清样本,分别来自US (n = 50)和SA (n = 68)患者。高分辨率核磁共振波谱用于评估这些队列中的代谢重塑。随后,采用主成分分析(PCA)、正交偏最小二乘判别分析(OPLS-DA)和人工神经网络分析(ANN)建立了精确的预测模型。通过受试者工作特征(ROC)曲线分析,确定代谢指标的临床应用价值。结果显示,潜在疾病的代谢谱以UA相对于SA的代谢物水平改变为特征。肌酐、3-OH丁酸盐和天冬氨酸水平可100%区分UA和SA,敏感性和特异性均为100%。为了监测和确定SA患者的UA,基于1H nmr的过滤血清代谢谱分析似乎是一种有前途的、侵入性小、更快的研究方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic circulatory signature metabolites of stable versus unstable angina: an application of NMR spectroscopy.

In spite of the ongoing efforts to probe the metabolic signatures of stable (SA) from unstable (UA) angina, it is concerning that to date there are no clinically validated circulatory biochemical signatures against the intrinsic anatomical changes that are screened by invasive coronary angiography. Hence, the aim of this study is to generate precise biochemical fingerprints using filtered serum-based metabolomics and high-throughput nuclear magnetic resonance (NMR) spectroscopy to accurately distinguish the metabolic signatures of patients suffering with SA or UA angina. The study includes 118 filtered serum samples from patients suffering from UA (n = 50) and SA (n = 68). High-resolution NMR spectroscopy was used to assess the metabolic remodeling in these cohorts. Subsequently, principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and artificial neural network (ANN) analysis were adapted to engender a precise prediction model. Analysis of the receiver operating characteristic (ROC) curve was conducted to determine the clinical usefulness of metabolic markers. The outcome revealed that the metabolic profile for the underlying disease is characterized by altered metabolite levels in UA relative to SA. Creatinine, 3-OH butyrate, and aspartate level could differentiate 100% of UA from SA with 100% sensitivity and specificity. To monitor and determine UA from patients with SA, 1H NMR-based filtered serum metabolic profiling seems to be a promising, less invasive, and faster investigative approach.NEW & NOTEWORTHY There are no metabolic signatures present to identify unstable from stable angina. Coronary angiography identifies anatomical changes after the event of unstable angina, but NMR-based metabolomics identifies unstable from stable angina within 4 h. Creatinine, 3-OH butyrate, and aspartate were able to segregate unstable from stable angina.

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来源期刊
CiteScore
9.60
自引率
10.40%
发文量
202
审稿时长
2-4 weeks
期刊介绍: The American Journal of Physiology-Heart and Circulatory Physiology publishes original investigations, reviews and perspectives on the physiology of the heart, vasculature, and lymphatics. These articles include experimental and theoretical studies of cardiovascular function at all levels of organization ranging from the intact and integrative animal and organ function to the cellular, subcellular, and molecular levels. The journal embraces new descriptions of these functions and their control systems, as well as their basis in biochemistry, biophysics, genetics, and cell biology. Preference is given to research that provides significant new mechanistic physiological insights that determine the performance of the normal and abnormal heart and circulation.
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