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      Sugar Alcohols Have a Key Role in Pathogenesis of Chronic Liver Disease and Hepatocellular Carcinoma in Whole Blood and Liver Tissues

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          Abstract

          The major risk factors for hepatocellular carcinoma (HCC) are hepatitis C and B viral infections that proceed to Chronic Liver Disease (CLD). Yet, the early diagnosis and treatment of HCC are challenging because the pathogenesis of HCC is not fully defined. To better understand the onset and development of HCC, untargeted GC-TOF MS metabolomics data were acquired from resected human HCC tissues and their paired non-tumor hepatic tissues ( n = 46). Blood samples of the same HCC subjects ( n = 23) were compared to CLD ( n = 15) and healthy control ( n = 15) blood samples. The participants were recruited from the National Liver Institute in Egypt. The GC-TOF MS data yielded 194 structurally annotated compounds. The most strikingly significant alteration was found for the class of sugar alcohols that were up-regulated in blood of HCC patients compared to CLD subjects ( p < 2.4 × 10 −12) and CLD compared to healthy controls ( p = 4.1 × 10 −7). In HCC tissues, sugar alcohols were the most significant ( p < 1 × 10 −6) class differentiating resected HCC tissues from non-malignant hepatic tissues for all HCC patients. Alteration of sugar alcohol levels in liver tissues also defined early-stage HCC from their paired non-malignant hepatic tissues ( p = 2.7 × 10 −6). In blood, sugar alcohols differentiated HCC from CLD subjects with an ROC-curve of 0.875 compared to 0.685 for the classic HCC biomarker alpha-fetoprotein. Blood sugar alcohol levels steadily increased from healthy controls to CLD to early stages of HCC and finally, to late-stage HCC patients. The increase in sugar alcohol levels indicates a role of aldo-keto reductases in the pathogenesis of HCC, possibly opening novel diagnostic and therapeutic options after in-depth validation.

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          Regulation of glucose metabolism from a liver-centric perspective

          Glucose homeostasis is tightly regulated to meet the energy requirements of the vital organs and maintain an individual's health. The liver has a major role in the control of glucose homeostasis by controlling various pathways of glucose metabolism, including glycogenesis, glycogenolysis, glycolysis and gluconeogenesis. Both the acute and chronic regulation of the enzymes involved in the pathways are required for the proper functioning of these complex interwoven systems. Allosteric control by various metabolic intermediates, as well as post-translational modifications of these metabolic enzymes constitute the acute control of these pathways, and the controlled expression of the genes encoding these enzymes is critical in mediating the longer-term regulation of these metabolic pathways. Notably, several key transcription factors are shown to be involved in the control of glucose metabolism including glycolysis and gluconeogenesis in the liver. In this review, we would like to illustrate the current understanding of glucose metabolism, with an emphasis on the transcription factors and their regulators that are involved in the chronic control of glucose homeostasis.
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            KEGG Atlas mapping for global analysis of metabolic pathways

            KEGG Atlas is a new graphical interface to the KEGG suite of databases, especially to the systems information in the PATHWAY and BRITE databases. It currently consists of a single global map and an associated viewer for metabolism, covering about 120 KEGG metabolic pathway maps and about 10 BRITE hierarchies. The viewer allows the user to navigate and zoom the global map under the Ajax technology. The mapping of high-throughput experimental data onto the global map is the main use of KEGG Atlas. In the global metabolism map, the node (circle) is a chemical compound and the edge (line) is a set of reactions linked to a set of KEGG Orthology (KO) entries for enzyme genes. Once gene identifiers in different organisms are converted to the K number identifiers in the KO system, corresponding line segments can be highlighted in the global map, allowing the user to view genome sequence data as organism-specific pathways, gene expression data as up- or down-regulated pathways, etc. Once chemical compounds are converted to the C number identifiers in KEGG, metabolomics data can also be displayed in the global map. KEGG Atlas is available at http://www.genome.jp/kegg/atlas/.
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              Identifying epimetabolites by integrating metabolome databases with mass spectrometry cheminformatics

              Epimetabolites distinct from canonical metabolisms are identified by integrating three cheminformatics tools: BinVestigate, querying the BinBase GC-MS metabolome database to match unknowns with biological metadata across over 110,000 samples; MS-DIAL 2.0, a universal software for chromatographic deconvolution of high resolution GC- or LC-mass spectrometry; and MS-FINDER 2.0, a structure elucidation program with searching against an enzyme promiscuity library. The discoveries are showcased by N-methyl-alanine, N-methyl-UMP, lyso-monogalactosyl-monopalmitin, and two propofol derivatives.
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                Author and article information

                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                19 February 2020
                February 2020
                : 12
                : 2
                : 484
                Affiliations
                [1 ]National Liver Institute, Menoufia University, Shebeen El Kom 55955, Egypt; imismail@ 123456ucdavis.edu (I.T.I.); ashraf.yousif@ 123456liver.menofia.edu.eg (A.E.); marwa.helal@ 123456liver.menofia.edu.eg (M.H.); ibrahiem.a.alqader11@ 123456liver.menofia.edu.eg (I.S.); hala.elsaid@ 123456liver.menofia.edu.eg (H.E.-S.)
                [2 ]NIH West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA
                Author notes
                [* ]Correspondence: ofiehn@ 123456ucdavis.edu
                Author information
                https://orcid.org/0000-0002-6261-8928
                Article
                cancers-12-00484
                10.3390/cancers12020484
                7072169
                32092943
                eef1569b-2fb4-4a99-bc70-a366d5d9e53a
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 November 2019
                : 17 February 2020
                Categories
                Article

                sorbitol,cirrhosis,carbohydrates,amino acids,nucleosides,microbial metabolism,microbiota,cancer

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