Abstract Nuclear magnetic resonance (NMR) spectroscopy acts as the best tool that can be used in tissue engineering scaffolds to investigate unknown metabolites. Moreover, metabolomics is a systems approach for examining in vivo and in vitro metabolic profiles, which promises to provide data on cancer metabolic alterations. However, metabolomic profiling allows for the activity of small molecules and metabolic alterations to be measured. Furthermore, metabolic profiling also provides high-spectral resolution, which can then be linked to potential metabolic relationships. An altered metabolism is a hallmark of cancer that can control many malignant properties to drive tumorigenesis. Metabolite targeting and metabolic engineering contribute to carcinogenesis by proliferation, and metabolic differentiation. The resulting the metabolic differences are examined with traditional chemometric methods such as principal component analysis (PCA), and partial least squares-discriminate analysis (PLS-DA). In this review, we examine NMR-based activity metabolomic platforms that can be used to analyze various fluxomics and for multivariant statistical analysis in cancer. We also aim to provide the reader with a basic understanding of NMR spectroscopy, cancer metabolomics, target profiling, chemometrics, and multifunctional tools for metabolomics discrimination, with a focus on metabolic phenotypic diversity for cancer therapeutics.

中文翻译：

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基于 1H-NMR 的代谢组学用于癌症靶向和代谢工程——综述

摘要 核磁共振 (NMR) 光谱是组织工程支架研究未知代谢物的最佳工具。此外，代谢组学是一种检查体内和体外代谢特征的系统方法，有望提供有关癌症代谢改变的数据。然而，代谢组学分析允许测量小分子的活性和代谢改变。此外，代谢分析还提供高光谱分辨率，然后可以将其与潜在的代谢关系联系起来。新陈代谢的改变是癌症的标志，它可以控制许多恶性特性以推动肿瘤发生。代谢物靶向和代谢工程通过增殖和代谢分化促进致癌作用。用传统的化学计量学方法，如主成分分析 (PCA) 和偏最小二乘判别分析 (PLS-DA) 来检查由此产生的代谢差异。在这篇综述中，我们研究了基于 NMR 的活性代谢组学平台，这些平台可用于分析各种通量组学和癌症的多变量统计分析。我们还旨在让读者对核磁共振波谱、癌症代谢组学、靶标分析、化学计量学和用于代谢组学鉴别的多功能工具有基本的了解，重点是癌症治疗的代谢表型多样性。我们研究了基于 NMR 的活性代谢组学平台，该平台可用于分析各种通量组学和癌症的多变量统计分析。我们还旨在让读者对核磁共振波谱、癌症代谢组学、靶标分析、化学计量学和用于代谢组学鉴别的多功能工具有基本的了解，重点是癌症治疗的代谢表型多样性。我们研究了基于 NMR 的活性代谢组学平台，该平台可用于分析各种通量组学和癌症的多变量统计分析。我们还旨在让读者对核磁共振波谱、癌症代谢组学、靶标分析、化学计量学和用于代谢组学鉴别的多功能工具有基本的了解，重点是癌症治疗的代谢表型多样性。