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      MMAB promotes negative feedback control of cholesterol homeostasis

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          Abstract

          Intricate regulatory networks govern the net balance of cholesterol biosynthesis, uptake and efflux; however, the mechanisms surrounding cholesterol homeostasis remain incompletely understood. Here, we develop an integrative genomic strategy to detect regulators of LDLR activity and identify 250 genes whose knockdown affects LDL-cholesterol uptake and whose expression is modulated by intracellular cholesterol levels in human hepatic cells. From these hits, we focus on MMAB, an enzyme which catalyzes the conversion of vitamin B 12 to adenosylcobalamin, and whose expression has previously been linked with altered levels of circulating cholesterol in humans. We demonstrate that hepatic levels of MMAB are modulated by dietary and cellular cholesterol levels through SREBP2, the master transcriptional regulator of cholesterol homeostasis. Knockdown of MMAB decreases intracellular cholesterol levels and augments SREBP2-mediated gene expression and LDL-cholesterol uptake in human and mouse hepatic cell lines. Reductions in total sterol content were attributed to increased intracellular levels of propionic and methylmalonic acid and subsequent inhibition of HMGCR activity and cholesterol biosynthesis. Moreover, mice treated with antisense inhibitors of MMAB display a significant reduction in hepatic HMGCR activity, hepatic sterol content and increased expression of SREBP2-mediated genes. Collectively, these findings reveal an unexpected role for the adenosylcobalamin pathway in regulating LDLR expression and identify MMAB as an additional control point by which cholesterol biosynthesis is regulated by its end product.

          Abstract

          The mechanisms governing cholesterol homeostasis remain incompletely understood. Here, the authors develop an integrative genomic strategy to identify MMAB, and enzyme in the adenosylcobalamin pathway, as a regulator of hepatic LDLR activity and cholesterol biosynthesis.

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          The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism.

          Short-chain fatty acids (SCFAs), the end products of fermentation of dietary fibers by the anaerobic intestinal microbiota, have been shown to exert multiple beneficial effects on mammalian energy metabolism. The mechanisms underlying these effects are the subject of intensive research and encompass the complex interplay between diet, gut microbiota, and host energy metabolism. This review summarizes the role of SCFAs in host energy metabolism, starting from the production by the gut microbiota to the uptake by the host and ending with the effects on host metabolism. There are interesting leads on the underlying molecular mechanisms, but there are also many apparently contradictory results. A coherent understanding of the multilevel network in which SCFAs exert their effects is hampered by the lack of quantitative data on actual fluxes of SCFAs and metabolic processes regulated by SCFAs. In this review we address questions that, when answered, will bring us a great step forward in elucidating the role of SCFAs in mammalian energy metabolism.
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            Short chain fatty acids in human large intestine, portal, hepatic and venous blood.

            Evidence for the occurrence of microbial breakdown of carbohydrate in the human colon has been sought by measuring short chain fatty acid (SCFA) concentrations in the contents of all regions of the large intestine and in portal, hepatic and peripheral venous blood obtained at autopsy of sudden death victims within four hours of death. Total SCFA concentration (mmol/kg) was low in the terminal ileum at 13 +/- 6 but high in all regions of the colon ranging from 131 +/- 9 in the caecum to 80 +/- 11 in the descending colon. The presence of branched chain fatty acids was also noted. A significant trend from high to low concentrations was found on passing distally from caecum to descending colon. pH also changed with region from 5.6 +/- 0.2 in the caecum to 6.6 +/- 0.1 in the descending colon. pH and SCFA concentrations were inversely related. Total SCFA (mumol/l) in blood was, portal 375 +/- 70, hepatic 148 +/- 42 and peripheral 79 +/- 22. In all samples acetate was the principal anion but molar ratios of the three principal SCFA changed on going from colonic contents to portal blood to hepatic vein indicating greater uptake of butyrate by the colonic epithelium and propionate by the liver. These data indicate that substantial carbohydrate, and possibly protein, fermentation is occurring in the human large intestine, principally in the caecum and ascending colon and that the large bowel may have a greater role to play in digestion than has previously been ascribed to it.
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              Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation

              Background Gene-set enrichment analysis is a useful technique to help functionally characterize large gene lists, such as the results of gene expression experiments. This technique finds functionally coherent gene-sets, such as pathways, that are statistically over-represented in a given gene list. Ideally, the number of resulting sets is smaller than the number of genes in the list, thus simplifying interpretation. However, the increasing number and redundancy of gene-sets used by many current enrichment analysis software works against this ideal. Principal Findings To overcome gene-set redundancy and help in the interpretation of large gene lists, we developed “Enrichment Map”, a network-based visualization method for gene-set enrichment results. Gene-sets are organized in a network, where each set is a node and edges represent gene overlap between sets. Automated network layout groups related gene-sets into network clusters, enabling the user to quickly identify the major enriched functional themes and more easily interpret the enrichment results. Conclusions Enrichment Map is a significant advance in the interpretation of enrichment analysis. Any research project that generates a list of genes can take advantage of this visualization framework. Enrichment Map is implemented as a freely available and user friendly plug-in for the Cytoscape network visualization software (http://baderlab.org/Software/EnrichmentMap/).
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                Author and article information

                Contributors
                carlos.fernandez@yale.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                8 November 2021
                8 November 2021
                2021
                : 12
                : 6448
                Affiliations
                [1 ]GRID grid.47100.32, ISNI 0000000419368710, Vascular Biology and Therapeutics Program, , Yale School of Medicine, ; New Haven, CT USA
                [2 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Internal Medicine, , Yale School of Medicine, ; New Haven, CT USA
                [3 ]GRID grid.47100.32, ISNI 0000000419368710, Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine and Pathology, , Yale School of Medicine, ; New Haven, CT 06520 USA
                [4 ]GRID grid.267313.2, ISNI 0000 0000 9482 7121, Center for Human Nutrition, , University of Texas Southwestern Medical Center, ; Dallas, TX 75390 USA
                [5 ]GRID grid.282569.2, ISNI 0000 0004 5879 2987, Cardiovascular Group, Antisense Drug Discovery, Ionis Pharmaceuticals, ; Carlsbad, CA 92010 USA
                [6 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Cellular & Molecular Physiology, , Yale School of Medicine, ; New Haven, CT USA
                [7 ]GRID grid.411347.4, ISNI 0000 0000 9248 5770, Servicio de Bioquímica-Investigación, , Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRyCIS) and CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), ; Madrid, Spain
                Author information
                http://orcid.org/0000-0002-1436-699X
                http://orcid.org/0000-0003-4378-7416
                http://orcid.org/0000-0003-1738-1746
                http://orcid.org/0000-0003-1570-4142
                http://orcid.org/0000-0003-1529-5668
                http://orcid.org/0000-0002-3950-1924
                Article
                26787
                10.1038/s41467-021-26787-7
                8575900
                34750386
                a9d6fb94-f052-4a2f-bd98-53102cef7de5
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 June 2020
                : 14 October 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000850, National Heart and Lung Institute (NHLI);
                Award ID: R35HL135820
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000968, American Heart Association (American Heart Association, Inc.);
                Award ID: 16EIA27550005
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                lipids,sterols,dyslipidaemias
                Uncategorized
                lipids, sterols, dyslipidaemias

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