Thermodynamic Function of Glycogen in Brain and Muscle
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The Airway Epithelium Undergoes Metabolic Reprogramming in Individuals at High Risk for Lung Cancer
The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer S.M. Jamshedur Rahman, … , Jamey D. Young, Pierre P. Massion JCI Insight. 2016;1(19):e88814. https://doi.org/10.1172/jci.insight.88814. Research Article Metabolism Oncology The molecular determinants of lung cancer risk remain largely unknown. Airway epithelial cells are prone to assault by risk factors and are considered to be the primary cell type involved in the field of cancerization. To investigate risk- associated changes in the bronchial epithelium proteome that may offer new insights into the molecular pathogenesis of lung cancer, proteins were identified in the airway epithelial cells of bronchial brushing specimens from risk-stratified individuals by shotgun proteomics. Differential expression of selected proteins was validated by parallel reaction monitoring mass spectrometry in an independent set of individual bronchial brushings. We identified 2,869 proteins, of which 312 proteins demonstrated a trend in expression. Pathway analysis revealed enrichment of carbohydrate metabolic enzymes in high-risk individuals. Glucose consumption and lactate production were increased in human bronchial epithelial BEAS2B cells treated with cigarette smoke condensate for 7 months. Increased lipid biosynthetic capacity and 13 net reductive carboxylation were revealed by metabolic flux analyses of [U- C5] glutamine in this in vitro model, suggesting profound metabolic reprogramming in the airway epithelium of high-risk individuals. These results provide a rationale for the development of potentially new chemopreventive strategies and selection of patients for surveillance programs. Find the latest version: https://jci.me/88814/pdf RESEARCH ARTICLE The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer S.M. -
• Glycolysis • Gluconeogenesis • Glycogen Synthesis
Carbohydrate Metabolism! Wichit Suthammarak – Department of Biochemistry, Faculty of Medicine Siriraj Hospital – Aug 1st and 4th, 2014! • Glycolysis • Gluconeogenesis • Glycogen synthesis • Glycogenolysis • Pentose phosphate pathway • Metabolism of other hexoses Carbohydrate Digestion! Digestive enzymes! Polysaccharides/complex carbohydrates Salivary glands Amylase Pancreas Oligosaccharides/dextrins Dextrinase Membrane-bound Microvilli Brush border Maltose Sucrose Lactose Maltase Sucrase Lactase ‘Disaccharidase’ 2 glucose 1 glucose 1 glucose 1 fructose 1 galactose Lactose Intolerance! Cause & Pathophysiology! Normal lactose digestion Lactose intolerance Lactose Lactose Lactose Glucose Small Intestine Lactase lactase X Galactose Bacteria 1 glucose Large Fermentation 1 galactose Intestine gases, organic acid, Normal stools osmotically Lactase deficiency! active molecules • Primary lactase deficiency: อาการ! genetic defect, การสราง lactase ลด ลงเมออายมากขน, พบมากทสด! ปวดทอง, ถายเหลว, คลนไสอาเจยนภาย • Secondary lactase deficiency: หลงจากรบประทานอาหารทม lactose acquired/transient เชน small bowel เปนปรมาณมาก เชนนม! injury, gastroenteritis, inflammatory bowel disease! Absorption of Hexoses! Site: duodenum! Intestinal lumen Enterocytes Membrane Transporter! Blood SGLT1: sodium-glucose transporter Na+" Na+" •! Presents at the apical membrane ! of enterocytes! SGLT1 Glucose" Glucose" •! Co-transports Na+ and glucose/! Galactose" Galactose" galactose! GLUT2 Fructose" Fructose" GLUT5 GLUT5 •! Transports fructose from the ! intestinal lumen into enterocytes! -
Glycogenolysis and Pentose Phosphate Pathway
E-content M.Sc. Zoology (Semester-II) Paper: CC7 Unit: 2.3 Topic: Glycogenolysis and Pentose Phosphate Pathway Dr. Gajendra Kumar Azad Assistant Professor Post Graduate Department of Zoology Patna University, Patna 1 Glycogenolysis Glycogen is a polymer of glucose and is a primary carbohydrate storage form in animals. The glycogen is composed of units of glucose linked by α(1, 4) and branches have α(1, 6) occurring approximately every 8-12 residues. Each glycogen molecule have a single reducing and multiple non-reducing ends. Figure: Glycogen structure Because glycogen contains so many glucoses, it acts like a battery backup for the body, providing a quick source of glucose when needed and providing a place to store excess glucose when glucose concentrations in the blood rise. 2 Breakdown of glycogen (glycogenolysis) involves following steps All steps of glycogenolysis occurs in cytosol Step 1: Release of glucose 1-phosphate from glycogen Step 2: Rearrangement of the remaining glycogen molecule Step 3: Conversion of glucose 1-phosphate to glucose 6-phosphate Glucose 6-phosphate can have following fates: 1) broken down by glycolysis 2) converted to glucose by gluconeogenesis, 3) oxidized in the pentose phosphate pathway. Phosphoglucomutase glucose 1-phosphate glucose 6-phosphate Figure: Steps of glycogenolysis 3 Step 1: Release of glucose 1-phosphate from glycogen Glycogen Phosphorylase catalyses breakdown of glycogen into glucose-1- phosphate. Note that the phosphate does not come from ATP. Since ATP is not used to put phosphate on glucose-1-phosphate, thus this reaction saves energy. Glycogen phosphorylase The reaction that produces glucose-1-phosphate from glycogen is a phosphorolysis, not a hydrolysis reaction. -
Glucose and Lipid Metabolism in Insulin Resistance
Umeå University Medical Dissertations New Series No 817 * ISSN 0346-6612 * ISBN 91-7305-359-7 ___________________________________________________________________________ From the Department of Public Health and Clinical Medicine, Medicine, Umeå University, S-901 85 Umeå, Sweden Glucose and lipid metabolism in insulin resistance – an experimental study in fat cells Jonas Burén Umeå 2002 ISBN 91-7305-359-7 © Copyright: Jonas Burén Department of Public Health and Clinical Medicine, Medicine, Umeå University, S-901 85 Umeå, Sweden Printed in Sweden by Landstingstryckeriet, Umeå, 2002 2 CONTENTS ABSTRACT 4 LIST OF PAPERS 5 ABBREVIATIONS 6 INTRODUCTION 7 Insulin resistance 8 The role of insulin in glucose and lipid turnover 8 Insulin signalling 10 Cellular glucose transport 13 Cellular insulin resistance 14 Lipid metabolism and the adipose tissue in insulin resistance 16 Human insulin resistance and type 2 diabetes 18 Neuroendocrine and humoral factors causing insulin resistance in vivo 19 AIMS 25 METHODS 26 Animals (study I, II) 26 Patients and healthy volunteers (study III, IV) 26 Cell preparation 26 Cell culture 27 Glucose uptake 27 Insulin binding 28 Lipolysis 28 Western blot analysis of proteins in cell lysates and membranes 28 PKB phosphorylation 29 Lipoprotein lipase (LPL) and hepatic lipase (HL) 29 Blood chemistry 30 Insulin sensitivity in vivo 30 Standardized meal test 30 Statistical analyses 31 SUMMARY OF RESULTS 32 Paper I 32 Paper II 33 Paper III 33 Paper IV 35 DISCUSSION 36 Effects of glucocorticoids 36 Effects of elevated glucose and insulin concentrations 37 In vivo insulin resistance in type 2 diabetes – is glucotoxicity critical? 40 Postprandial blood lipids and lipoprotein lipase 42 SUMMARY 44 CONCLUDING REMARKS 45 POPULÄRVETENSKAPLIG SAMMANFATTNING PÅ SVENSKA 46 ACKNOWLEDGEMENTS 49 REFERENCES 50 PAPERS I-IV 3 ABSTRACT Type 2 diabetes is usually caused by a combination of pancreatic β-cell failure and insulin resistance in target tissues like liver, muscle and fat. -
Adaptation to Hif1α Deletion in Hypoxic Cancer Cells by Upregulation of GLUT14 and Creatine Metabolism
Published OnlineFirst March 18, 2019; DOI: 10.1158/1541-7786.MCR-18-0315 Metabolism Molecular Cancer Research Adaptation to HIF1a Deletion in Hypoxic Cancer Cells by Upregulation of GLUT14 and Creatine Metabolism Alessandro Valli1,2, Matteo Morotti1, Christos E. Zois1, Patrick K. Albers3, Tomoyoshi Soga4, Katharina Feldinger1, Roman Fischer2, Martin Frejno2, Alan McIntyre1, Esther Bridges1, Syed Haider1, Francesca M. Buffa1, Dilair Baban3, Miguel Rodriguez5,6, Oscar Yanes5,6, Hannah J. Whittington7, Hannah A. Lake7, Sevasti Zervou7, Craig A. Lygate7, Benedikt M. Kessler2, and Adrian L. Harris1 Abstract Hypoxia-inducible factor 1a is a key regulator of the than phosphofructokinase. Furthermore, glucose uptake hypoxia response in normal and cancer tissues. It is well could be maintained in hypoxia through upregulation of recognized to regulate glycolysis and is a target for therapy. GLUT14, not previously recognized in this role. Finally, However, how tumor cells adapt to grow in the absence of there was a marked adaptation and change of phospho- HIF1a is poorly understood and an important concept to creatine energy pathways, which made the cells susceptible understand for developing targeted therapies is the flexi- to inhibition of creatine metabolism in hypoxic condi- bility of the metabolic response to hypoxia via alternative tions. Overall, our studies show a complex adaptation to pathways. We analyzed pathways that allow cells to survive hypoxia that can bypass HIF1a, but it is targetable and it hypoxic stress in the absence of HIF1a,usingtheHCT116 provides new insight into the key metabolic pathways colon cancer cell line with deleted HIF1a versus control. involved in cancer growth. Spheroids were used to provide a 3D model of metabolic gradients. -
Histone Methyltransferase Smyd1 Regulates Mitochondrial Energetics in the Heart
Histone methyltransferase Smyd1 regulates mitochondrial energetics in the heart Junco S. Warrena,b,1, Christopher M. Tracya, Mickey R. Millera, Aman Makajua, Marta W. Szulika, Shin-ichi Okac, Tatiana N. Yuzyukd,e, James E. Coxf,g, Anil Kumarh, Bucky K. Loziere, Li Wanga, June García Llanaa, Amira D. Sabrya, Keiko M. Cawleya, Dane W. Bartonb, Yong Hwan Hani, Sihem Boudinaj, Oliver Fiehnk,l, Haley O. Tuckerm,n, Alexey V. Zaitseva,o, and Sarah Franklina,b,g aNora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112; bDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84102; cDepartment of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103; dDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84103; eAssociated Regional and University Pathologists, Inc. Laboratories, Salt Lake City, UT 84108; fMetabolomics Core Research Facility, University of Utah, Salt Lake City, UT 84112; gDepartment of Biochemistry, University of Utah, Salt Lake City, UT 84112; hMetabolic Phenotyping Core Facility, University of Utah, Salt Lake City, UT 84112; iMasonic Cancer Center, University of Minnesota, Minneapolis, MN 55455; jDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112; kGenome Center-Metabolomics, University of California, Davis, CA 95616; lBiochemistry Department, King Abdulaziz University, 21589 Jeddah, Saudi Arabia; mDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712; nThe Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712; and oDepartment of Bioengineering, University of Utah, Salt Lake City, UT 84112 Edited by Gerald I. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Carbohydrate Metabolism I & II Central Aspects of Macronutrient
Carbohydrate Metabolism I & II - General concepts of glucose metabolism - - Glycolysis - -TCA - FScN4621W Xiaoli Chen, PhD Food Science and Nutrition University of Minnesota 1 Central Aspects of Macronutrient Metabolism Macronutrients (carbohydrate, lipid, protein) Catabolic metabolism Oxidation Metabolites (smaller molecules) Anabolic metabolism Energy (ATP) Synthesis of cellular components or energy stores Chemical Reactions Cellular Activities 2 Central Aspects of Macronutrient Metabolism High-energy compounds ◦ ATP (adenosine triphosphate) ◦ NADPH (reduced nicotinamide adenine dinucleotide phosphate) ◦ NADH (reduced nicotinamide adenine dinucleotide) ◦ FADH2 (reduced flavin adenine dinucleotide) Oxidation of macronutrients NADH NADPH FADH2 ATP and NADPH are required ATP for anabolic metabolism 3 1 Unit I General Concepts of Glucose Metabolism Metabolic pathways of glucose Glucose homeostasis Glucose transport in tissues Glucose metabolism in specific tissues 4 Overview Digestion, Absorption and Transport of Carbs ◦ Final products of digestion: ________, ________, and ________ Cellular fuels ◦ Glucose, fatty acids, ketone bodies, amino acids, other gluoconeogenic precursors (glycerol, lactate, propionate) Glucose: primary metabolic fuel in humans ◦ Provide 32% to 70% of the energy in diet of American population All tissues are able to use glucose as energy fuels ◦ Glucose has different metabolic fate in different tissues Physiological states determine glucose metabolic fate ◦ Fed/fasted – glucose is metabolized through distinct -
Identification of Novel Alleles Associated with Insulin Resistance In
OPEN International Journal of Obesity (2018) 42, 686–695 www.nature.com/ijo PEDIATRIC ORIGINAL ARTICLE Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach P Kotnik1,7, E Knapič1,2,7, J Kokošar3, J Kovač4, R Jerala5, T Battelino1,6 and S Horvat2,5 BACKGROUND: Recently, we witnessed great progress in the discovery of genetic variants associated with obesity and type 2 diabetes (T2D), especially in adults. Much less is known regarding genetic variants associated with insulin resistance (IR). We hypothesized that novel IR genes could be efficiently detected in a population of obese children and adolescents who may not exhibit comorbidities and other confounding factors. OBJECTIVES: This study aimed to determine whether a genome-wide association study (GWAS), using a DNA-pooling approach, could identify novel genes associated with IR. SUBJECTS: The pooled-DNA GWAS analysis included Slovenian obese children and adolescents with and without IR matched for body mass index, gender and age. A replication study was conducted in another independent cohort with or without IR. METHODS: For the pooled-DNA GWAS, we used HumanOmni5-Quad SNP array (Illumina). Allele frequency distributions were compared with modified t-tests and χ2-tests and ranked using PLINK. Top single nucleotide polymorphisms (SNPs) were validated using individual genotyping by high-resolution melting analysis and TaqMan assay. RESULTS: We identified five top-ranking SNPs from the pooled-DNA GWAS analysis within the ECE1, IL1R2, GNPDA1, HLA-J and PYGB loci. All except SNP rs9261108 (HLA-J locus) were confirmed in the validation phase using individual genotyping. -
DIPPER, a Spatiotemporal Proteomics Atlas of Human Intervertebral Discs
TOOLS AND RESOURCES DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Vivian Tam1,2†, Peikai Chen1†‡, Anita Yee1, Nestor Solis3, Theo Klein3§, Mateusz Kudelko1, Rakesh Sharma4, Wilson CW Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2* 1School of Biomedical Sciences, , The University of Hong Kong, Hong Kong; 2The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China; 3Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada; 4Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong; 5Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China; 6Department of Surgery, McGill University, Montreal, Canada; 7Centre for PanorOmic Sciences (CPOS), The University of Hong Kong, Hong Kong Abstract The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity *For correspondence: and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising [email protected] 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key †These authors contributed directional trends spanning the lateral and anteroposterior axes were derived from high-resolution equally to this work spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific Present address: ‡Department profiles of regulatory activities -
Regulation of Muscle Glycogen Metabolism During Exercise: Implications for Endurance Performance and Training Adaptations
nutrients Review Regulation of Muscle Glycogen Metabolism during Exercise: Implications for Endurance Performance and Training Adaptations Mark A. Hearris, Kelly M. Hammond, J. Marc Fell and James P. Morton * Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK; [email protected] (M.A.H.); [email protected] (K.M.H.); [email protected] (J.M.F.) * Correspondence: [email protected]; Tel.: +44-151-904-6233 Received: 9 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Since the introduction of the muscle biopsy technique in the late 1960s, our understanding of the regulation of muscle glycogen storage and metabolism has advanced considerably. Muscle glycogenolysis and rates of carbohydrate (CHO) oxidation are affected by factors such as exercise intensity, duration, training status and substrate availability. Such changes to the global exercise stimulus exert regulatory effects on key enzymes and transport proteins via both hormonal control and local allosteric regulation. Given the well-documented effects of high CHO availability on promoting exercise performance, elite endurance athletes are typically advised to ensure high CHO availability before, during and after high-intensity training sessions or competition. Nonetheless, in recognition that the glycogen granule is more than a simple fuel store, it is now also accepted that glycogen is a potent regulator of the molecular cell signaling pathways that regulate the oxidative phenotype. Accordingly, the concept of deliberately training with low CHO availability has now gained increased popularity amongst athletic circles. In this review, we present an overview of the regulatory control of CHO metabolism during exercise (with a specific emphasis on muscle glycogen utilization) in order to discuss the effects of both high and low CHO availability on modulating exercise performance and training adaptations, respectively. -
Chem331 Glycogen Metabolism
Glycogen metabolism Glycogen review - 1,4 and 1,6 α-glycosidic links ~ every 10 sugars are branched - open helix with many non-reducing ends. Effective storage of glucose Glucose storage Liver glycogen 4.0% 72 g Muscle glycogen 0.7% 245 g Blood Glucose 0.1% 10 g Large amount of water associated with glycogen - 0.5% of total weight Glycogen stored in granules in cytosol w/proteins for synthesis, degradation and control There are very different means of control of glycogen metabolism between liver and muscle Glycogen biosynthetic and degradative cycle Two different pathways - which do not share enzymes like glycolysis and gluconeogenesis glucose -> glycogen glycogenesis - biosynthetic glycogen -> glucose 1-P glycogenolysis - breakdown Evidence for two paths - Patients lacking phosphorylase can still synthesize glycogen - hormonal regulation of both directions Glycogenolysis (glycogen breakdown)- Glycogen Phosphorylase glycogen (n) + Pi -> glucose 1-p + glycogen (n-1) • Enzyme binds and cleaves glycogen into monomers at the end of the polymer (reducing ends of glycogen) • Dimmer interacting at the N-terminus. • rate limiting - controlled step in glycogen breakdown • glycogen phosphorylase - cleavage of 1,4 α glycosidic bond by Pi NOT H2O • Energy of phosphorolysis vs. hydrolysis -low standard state free energy change -transfer potential -driven by Pi concentration -Hydrolysis would require additional step s/ cost of ATP - Think of the difference between adding a phosphate group with hydrolysis • phosphorylation locks glucose in cell (imp. for muscle) • Phosphorylase binds glycogen at storage site and the catalytic site is 4 to 5 glucose residues away from the catalytic site. • Phosphorylase removes 1 residue at a time from glycogen until 4 glucose residues away on either side of 1,6 branch point – stericaly hindered by glycogen storage site • Cleaves without releasing at storage site • general acid/base catalysts • Inorganic phosphate attacks the terminal glucose residue passing through an oxonium ion intermediate.