利用基于核磁共振的代谢组学鉴定和定量重症患者体内紊乱的代谢物。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Anamika Singh, Mohd Adnan Siddiqui, Afzal Azim, Neeraj Sinha
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引用次数: 0

摘要

代谢组学正在成为反映个人对病理生理状况反应的重要方法。核磁共振(NMR)光谱学已发展成为一种工具,用于识别急性呼吸窘迫综合征(ARDS)、重症急性胰腺炎(SAP)、急性肾损伤(AKI)和败血症等重症患者的代谢失调。使用 800 MHz NMR 光谱仪记录研究组和对照组血清样本的光谱数据,并使用 NMR 处理和分析工具进行处理。此外,还进行了严格的统计分析,如单变量和多变量测试,以确定重要的代谢物,然后使用核磁共振代谢物定量软件对其进行准确识别和定量。此外,路径分析还能突出导致疾病严重程度的生化循环失调。通过这种综合方法,研究人员旨在更深入地了解与这些危重疾病相关的代谢改变,从而为更好地了解疾病、改进诊断和治疗策略铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics.

Metabolomics is emerging as a significant approach to reflect the individual's response to pathophysiological conditions. Nuclear magnetic resonance (NMR) spectroscopy has evolved as a tool to identify metabolic dysregulations in critically ill patients afflicted with conditions like acute respiratory distress syndrome (ARDS), severe acute pancreatitis (SAP), acute kidney injury (AKI), and sepsis. The spectral data from the serum sample of the study and control group are recorded using an 800 MHz NMR spectrometer and processed using NMR processing and analysis tools. Furthermore, a rigorous statistical analysis, such as univariate and multivariate tests, is performed to pinpoint significant metabolites, which are then accurately identified and quantified using NMR metabolite quantification software. Additionally, pathway analysis highlights the deranged biochemical cycles that result in the severity of illness. Through this comprehensive approach, researchers aim to gain deeper insights into the metabolic alterations associated with these critical illnesses, potentially paving the way for a better understanding of the disease and improved diagnostics and treatment strategies.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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