1H-NMR-based metabolomics for cancer targeting and metabolic engineering –A review. (December 2020)

• Record Type: Journal Article
• Authors: Raja, Ganesan; Jung, Youngmi; Jung, Sang Hoon; Kim, Tae-Jin
• Is Part Of: Process biochemistry. Volume 99(2020)
• Page Start: 112
• Page End: 122
• Publication Date: 2020-12
• Subjects: NMR Nuclear magnetic resonance -- MHz MegaHertz -- MS Mass spectrometry -- GC/LC Gas/Liquid chromatography -- 1H- Proton -- 13C- Carbon -- 14N- Nitrogen -- 23Na- sodium -- 31P- Phosphorus -- 1D One dimensional -- 2D two dimensional -- nM nanomolar -- COSY Correlated spectroscopy -- TOCSY total correlated spectroscopy -- HSQC Heteronuclear single quantum coherence -- HR-MAS High resolution magic angle spinning -- ppb Parts per billion -- SIMCA Soft independent modeling of class analogy -- PCA Principal component analysis -- PLS-DA Partial least squares-discriminant analysis -- OPLS-DA Orthogonal PLS-DA -- VIP Variable importance in projection -- HMDB Human Metabolome Database -- KEGG Kyoto Encyclopedia of Genes and Genomes -- Impala Integrated molecular pathway level analysis -- TCA Tricarboxylic acid -- Ref References; Cancer -- Metabolomics -- Metabolic engineering -- Target profiling -- Software -- Therapeutics; Biochemical engineering -- Periodicals; Biotechnology -- Periodicals; Biochemistry -- periodicals; Biotechnology -- periodicals; Chemical Engineering -- periodicals; Génie biochimique -- Périodiques; Biotechnologie -- Périodiques; Biochemical engineering; Biotechnology; Periodicals; 660.63
• DOI: 10.1016/j.procbio.2020.08.023
• Languages: English
• ISSNs: 1359-5113

Abstract

Graphical abstract: Highlights: Metabolomics is used to assess metabolic phenotyping and metabolic engineering Metabolomics finds therapeutic liabilities in cancer microenvironments NMR technologies have used to profiling to metabolite imaging The pattern-recognition method gives the best discrimination between cells 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.