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Salvador AF, Shyu CR, Parks EJ. Measurement of lipid flux to advance translational research: evolution of classic methods to the future of precision health. EXPERIMENTAL & MOLECULAR MEDICINE 2022; 54:1348-1353. [PMID: 36075949 PMCID: PMC9534914 DOI: 10.1038/s12276-022-00838-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/22/2022] [Accepted: 07/12/2022] [Indexed: 02/08/2023]
Abstract
Over the past 70 years, the study of lipid metabolism has led to important discoveries in identifying the underlying mechanisms of chronic diseases. Advances in the use of stable isotopes and mass spectrometry in humans have expanded our knowledge of target molecules that contribute to pathologies and lipid metabolic pathways. These advances have been leveraged within two research paths, leading to the ability (1) to quantitate lipid flux to understand the fundamentals of human physiology and pathology and (2) to perform untargeted analyses of human blood and tissues derived from a single timepoint to identify lipidomic patterns that predict disease. This review describes the physiological and analytical parameters that influence these measurements and how these issues will propel the coming together of the two fields of metabolic tracing and lipidomics. The potential of data science to advance these fields is also discussed. Future developments are needed to increase the precision of lipid measurements in human samples, leading to discoveries in how individuals vary in their production, storage, and use of lipids. New techniques are critical to support clinical strategies to prevent disease and to identify mechanisms by which treatments confer health benefits with the overall goal of reducing the burden of human disease. Personalized tracking of how lipid (fat) metabolism changes over time could lead to improvements in the diagnosis and treatment of several diseases. Elizabeth Parks and colleagues from the University of Missouri, Columbia, USA, discuss the ways in which researchers use stable isotope labeling to monitor the kinetics of fatty acids and other lipids in the body. Usually, lipid quantities are measured only at a single timepoint, however the tracking of lipid turnover over time provides further diagnostic information. Aided by new techniques such as high-throughput mass spectrometry and machine learning, researchers are now able to continuously map total lipid contents in individual patients. The transition of measurements of lipid flux from the research laboratory to the doctor’s office will likely play a role in a new era of precision medicine.
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Affiliation(s)
- Amadeo F Salvador
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO, 65212, USA.,Department of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of Missouri, Columbia, MO, 65212, USA.,Department of Electrical Engineering and Computer Science, Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
| | - Chi-Ren Shyu
- Department of Electrical Engineering and Computer Science, Institute for Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
| | - Elizabeth J Parks
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO, 65212, USA. .,Department of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of Missouri, Columbia, MO, 65212, USA.
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Kaggie JD, Khan AS, Matys T, Schulte RF, Locke MJ, Grimmer A, Frary A, Menih IH, Latimer E, Graves MJ, McLean MA, Gallagher FA. Deuterium metabolic imaging and hyperpolarized 13C-MRI of the normal human brain at clinical field strength reveals differential cerebral metabolism. Neuroimage 2022; 257:119284. [PMID: 35533826 DOI: 10.1016/j.neuroimage.2022.119284] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 12/01/2022] Open
Abstract
Deuterium metabolic imaging (DMI) and hyperpolarized 13C-pyruvate MRI (13C-HPMRI) are two emerging methods for non-invasive and non-ionizing imaging of tissue metabolism. Imaging cerebral metabolism has potential applications in cancer, neurodegeneration, multiple sclerosis, traumatic brain injury, stroke, and inborn errors of metabolism. Here we directly compare these two non-invasive methods at 3 T for the first time in humans and show how they simultaneously probe both oxidative and non-oxidative metabolism. DMI was undertaken 1-2 h after oral administration of [6,6'-2H2]glucose, and 13C-MRI was performed immediately following intravenous injection of hyperpolarized [1-13C]pyruvate in ten and nine normal volunteers within each arm respectively. DMI was used to generate maps of deuterium-labelled water, glucose, lactate, and glutamate/glutamine (Glx) and the spectral separation demonstrated that DMI is feasible at 3 T. 13C-HPMRI generated maps of hyperpolarized carbon-13 labelled pyruvate, lactate, and bicarbonate. The ratio of 13C-lactate/13C-bicarbonate (mean 3.7 ± 1.2) acquired with 13C-HPMRI was higher than the equivalent 2H-lactate/2H-Glx ratio (mean 0.18 ± 0.09) acquired using DMI. These differences can be explained by the route of administering each probe, the timing of imaging after ingestion or injection, as well as the biological differences in cerebral uptake and cellular physiology between the two molecules. The results demonstrate these two metabolic imaging methods provide different yet complementary readouts of oxidative and reductive metabolism within a clinically feasible timescale. Furthermore, as DMI was undertaken at a clinical field strength within a ten-minute scan time, it demonstrates its potential as a routine clinical tool in the future.
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Affiliation(s)
- Joshua D Kaggie
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
| | - Alixander S Khan
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Tomasz Matys
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK
| | | | - Matthew J Locke
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Ashley Grimmer
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Amy Frary
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Ines Horvat Menih
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Elizabeth Latimer
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK
| | - Mary A McLean
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge UK
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK; Cambridge University Hospitals, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
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Abstract
"Omics"-based analyses are widely used in numerous areas of research, advances in instrumentation (both hardware and software) allow investigators to collect a wealth of data and therein characterize metabolic systems. Although analyses generally examine differences in absolute or relative (fold-) changes in concentrations, the ability to extract mechanistic insight would benefit from the use of isotopic tracers. Herein, we discuss important concepts that should be considered when stable isotope tracers are used to capture biochemical flux. Special attention is placed on in vivo systems, however, many of the general ideas have immediate impact on studies in cellular models or isolated-perfused tissues. While it is somewhat trivial to administer labeled precursor molecules and measure the enrichment of downstream products, the ability to make correct interpretations can be challenging. We will outline several critical factors that may influence choices when developing and/or applying a stable isotope tracer method. For example, is there a "best" tracer for a given study? How do I administer a tracer? When do I collect my sample(s)? While these questions may seem straightforward, we will present scenarios that can have dramatic effects on conclusions surrounding apparent rates of metabolic activity.
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Affiliation(s)
- Stephen F Previs
- Department of Chemistry, Merck & Co., Inc., Kenilworth, NJ, USA.
| | - Daniel P Downes
- Department of Chemistry, Merck & Co., Inc., Kenilworth, NJ, USA
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Daurio NA, Wang Y, Chen Y, Zhou H, Carballo-Jane E, Mane J, Rodriguez CG, Zafian P, Houghton A, Addona G, McLaren DG, Zhang R, Shyong BJ, Bateman K, Downes DP, Webb M, Kelley DE, Previs SF. Spatial and temporal studies of metabolic activity: contrasting biochemical kinetics in tissues and pathways during fasted and fed states. Am J Physiol Endocrinol Metab 2019; 316:E1105-E1117. [PMID: 30912961 DOI: 10.1152/ajpendo.00459.2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The regulation of nutrient homeostasis, i.e., the ability to transition between fasted and fed states, is fundamental in maintaining health. Since food is typically consumed over limited (anabolic) periods, dietary components must be processed and stored to counterbalance the catabolic stress that occurs between meals. Herein, we contrast tissue- and pathway-specific metabolic activity in fasted and fed states. We demonstrate that knowledge of biochemical kinetics that is obtained from opposite ends of the energetic spectrum can allow mechanism-based differentiation of healthy and disease phenotypes. Rat models of type 1 and type 2 diabetes serve as case studies for probing spatial and temporal patterns of metabolic activity via [2H]water labeling. Experimental designs that capture integrative whole body metabolism, including meal-induced substrate partitioning, can support an array of research surrounding metabolic disease; the relative simplicity of the approach that is discussed here should enable routine applications in preclinical models.
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Affiliation(s)
- Natalie A Daurio
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Yichen Wang
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Ying Chen
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Haihong Zhou
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Ester Carballo-Jane
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Joel Mane
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Carlos G Rodriguez
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Peter Zafian
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Andrea Houghton
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - George Addona
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - David G McLaren
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Rena Zhang
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Bao Jen Shyong
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Kevin Bateman
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Daniel P Downes
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Maria Webb
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - David E Kelley
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
| | - Stephen F Previs
- Merck Research Laboratories, Merck & Company, Incorporated, Kenilworth, New Jersey
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Rudwill F, O’Gorman D, Lefai E, Chery I, Zahariev A, Normand S, Pagano AF, Chopard A, Damiot A, Laurens C, Hodson L, Canet-Soulas E, Heer M, Meuthen PF, Buehlmeier J, Baecker N, Meiller L, Gauquelin-Koch G, Blanc S, Simon C, Bergouignan A. Metabolic Inflexibility Is an Early Marker of Bed-Rest-Induced Glucose Intolerance Even When Fat Mass Is Stable. J Clin Endocrinol Metab 2018; 103:1910-1920. [PMID: 29546280 PMCID: PMC7263792 DOI: 10.1210/jc.2017-02267] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Accepted: 03/07/2018] [Indexed: 12/13/2022]
Abstract
Context The effects of energy-balanced bed rest on metabolic flexibility have not been thoroughly examined. Objective We investigated the effects of 21 days of bed rest, with and without whey protein supplementation, on metabolic flexibility while maintaining energy balance. We hypothesized that protein supplementation mitigates metabolic inflexibility by preventing muscle atrophy. Design and Setting Randomized crossover longitudinal study conducted at the German Aerospace Center, Cologne, Germany. Participants and Interventions Ten healthy men were randomly assigned to dietary countermeasure or isocaloric control diet during a 21-day bed rest. Outcome Measures Before and at the end of the bed rest, metabolic flexibility was assessed during a meal test. Secondary outcomes were glucose tolerance by oral glucose tolerance test, body composition by dual energy X-ray absorptiometry, ectopic fat storage by magnetic resonance imaging, and inflammation and oxidative stress markers. Results Bed rest decreased the ability to switch from fat to carbohydrate oxidation when transitioning from fasted to fed states (i.e., metabolic inflexibility), antioxidant capacity, fat-free mass (FFM), and muscle insulin sensitivity along with greater fat deposition in muscle (P < 0.05 for all). Changes in fasting insulin and inflammation were not observed. However, glucose tolerance was reduced during acute overfeeding. Protein supplementation did not prevent FFM loss and metabolic alterations. Conclusions Physical inactivity triggers metabolic inflexibility, even when energy balance is maintained. Although reduced insulin sensitivity and increased fat deposition were observed at the muscle level, systemic glucose intolerance was detected only in response to a moderately high-fat meal. This finding supports the role of physical inactivity in metabolic inflexibility and suggests that metabolic inflexibility precedes systemic glucose intolerance.
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Affiliation(s)
- Floriane Rudwill
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - Donal O’Gorman
- 3U Diabetes Consortium, Dublin City University, Dublin, Ireland
- National Institute for Cellular Biotechnology & School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Etienne Lefai
- Carmen INSERM U1060, University of Lyon, INRA U1235, Lyon, France
| | - Isabelle Chery
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | | | - Sylvie Normand
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Allan F Pagano
- Université de Montpellier, INRA, UMR 866 Dynamique Musculaire et Métabolisme, Montpellier, France
| | - Angèle Chopard
- Université de Montpellier, INRA, UMR 866 Dynamique Musculaire et Métabolisme, Montpellier, France
| | - Anthony Damiot
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - Claire Laurens
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - Leanne Hodson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
| | | | - Martina Heer
- Institute of Nutritional and Food Sciences, Human Nutrition, University of Bonn, Bonn, Germany
| | - Petra Frings Meuthen
- German Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany
| | - Judith Buehlmeier
- German Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany
- University of Duisburg-Essen, Department of Child and Adolescent Psychiatry, Essen, Germany
| | - Natalie Baecker
- German Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany
| | - Laure Meiller
- Carmen INSERM U1060, University of Lyon, INRA U1235, Lyon, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | | | - Stéphane Blanc
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - Chantal Simon
- Carmen INSERM U1060, University of Lyon, INRA U1235, Lyon, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Audrey Bergouignan
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
- Anschutz Health and Wellness Center, Anschutz Medical Campus, Aurora, Colorado
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
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Havel PJ, Kievit P, Comuzzie AG, Bremer AA. Use and Importance of Nonhuman Primates in Metabolic Disease Research: Current State of the Field. ILAR J 2017; 58:251-268. [PMID: 29216341 PMCID: PMC6074797 DOI: 10.1093/ilar/ilx031] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 10/13/2017] [Accepted: 10/22/2017] [Indexed: 12/16/2022] Open
Abstract
Obesity and its multiple metabolic sequelae, including type 2 diabetes, cardiovascular disease, and fatty liver disease, are becoming increasingly widespread in both the developed and developing world. There is an urgent need to identify new approaches for the prevention and treatment of these costly and prevalent metabolic conditions. Accomplishing this will require the use of appropriate animal models for preclinical and translational investigations in metabolic disease research. Although studies in rodent models are often useful for target/pathway identification and testing hypotheses, there are important differences in metabolic physiology between rodents and primates, and experimental findings in rodent models have often failed to be successfully translated into new, clinically useful therapeutic modalities in humans. Nonhuman primates represent a valuable and physiologically relevant model that serve as a critical translational bridge between basic studies performed in rodent models and clinical studies in humans. The purpose of this review is to evaluate the evidence, including a number of specific examples, in support of the use of nonhuman primate models in metabolic disease research, as well as some of the disadvantages and limitations involved in the use of nonhuman primates. The evidence taken as a whole indicates that nonhuman primates are and will remain an indispensable resource for evaluating the efficacy and safety of novel therapeutic strategies targeting clinically important metabolic diseases, including dyslipidemia and atherosclerosis, type 2 diabetes, hepatic steatosis, steatohepatitis, and hepatic fibrosis, and potentially the cognitive decline and dementia associated with metabolic dysfunction, prior to taking these therapies into clinical trials in humans.
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Affiliation(s)
- Peter J Havel
- Peter J. Havel, DVM, PhD, is a professor in the Department of Molecular Biosciences, School of Veterinary Medicine and Department of Nutrition, California National Primate Research Center, University of California, Davis, California. Paul Kievit, PhD, is an assistant professor at Oregon Health & Sciences University, Portland, Oregon and Director of the Obese NHP Resource at the Oregon National Primate Research Center, Beaverton, Oregon. Anthony G. Comuzzie, PhD, is a senior scientist at the Southwest National Primate Research Center and the Department of Genetics at the Texas Biomedical Research Institute, San Antonio, Texas and currently the Executive Director of The Obesity Society, Silver Springs, Maryland. Andrew A. Bremer, MD, PhD, is Scientific Program Director in the Division of Diabetes, Endocrinology and Metabolic Diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Paul Kievit
- Peter J. Havel, DVM, PhD, is a professor in the Department of Molecular Biosciences, School of Veterinary Medicine and Department of Nutrition, California National Primate Research Center, University of California, Davis, California. Paul Kievit, PhD, is an assistant professor at Oregon Health & Sciences University, Portland, Oregon and Director of the Obese NHP Resource at the Oregon National Primate Research Center, Beaverton, Oregon. Anthony G. Comuzzie, PhD, is a senior scientist at the Southwest National Primate Research Center and the Department of Genetics at the Texas Biomedical Research Institute, San Antonio, Texas and currently the Executive Director of The Obesity Society, Silver Springs, Maryland. Andrew A. Bremer, MD, PhD, is Scientific Program Director in the Division of Diabetes, Endocrinology and Metabolic Diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Anthony G Comuzzie
- Peter J. Havel, DVM, PhD, is a professor in the Department of Molecular Biosciences, School of Veterinary Medicine and Department of Nutrition, California National Primate Research Center, University of California, Davis, California. Paul Kievit, PhD, is an assistant professor at Oregon Health & Sciences University, Portland, Oregon and Director of the Obese NHP Resource at the Oregon National Primate Research Center, Beaverton, Oregon. Anthony G. Comuzzie, PhD, is a senior scientist at the Southwest National Primate Research Center and the Department of Genetics at the Texas Biomedical Research Institute, San Antonio, Texas and currently the Executive Director of The Obesity Society, Silver Springs, Maryland. Andrew A. Bremer, MD, PhD, is Scientific Program Director in the Division of Diabetes, Endocrinology and Metabolic Diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Andrew A Bremer
- Peter J. Havel, DVM, PhD, is a professor in the Department of Molecular Biosciences, School of Veterinary Medicine and Department of Nutrition, California National Primate Research Center, University of California, Davis, California. Paul Kievit, PhD, is an assistant professor at Oregon Health & Sciences University, Portland, Oregon and Director of the Obese NHP Resource at the Oregon National Primate Research Center, Beaverton, Oregon. Anthony G. Comuzzie, PhD, is a senior scientist at the Southwest National Primate Research Center and the Department of Genetics at the Texas Biomedical Research Institute, San Antonio, Texas and currently the Executive Director of The Obesity Society, Silver Springs, Maryland. Andrew A. Bremer, MD, PhD, is Scientific Program Director in the Division of Diabetes, Endocrinology and Metabolic Diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
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Nishida Y, Rardin MJ, Carrico C, He W, Sahu AK, Gut P, Najjar R, Fitch M, Hellerstein M, Gibson BW, Verdin E. SIRT5 Regulates both Cytosolic and Mitochondrial Protein Malonylation with Glycolysis as a Major Target. Mol Cell 2015; 59:321-32. [PMID: 26073543 DOI: 10.1016/j.molcel.2015.05.022] [Citation(s) in RCA: 326] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Revised: 03/27/2015] [Accepted: 05/11/2015] [Indexed: 02/01/2023]
Abstract
Protein acylation links energetic substrate flux with cellular adaptive responses. SIRT5 is a NAD(+)-dependent lysine deacylase and removes both succinyl and malonyl groups. Using affinity enrichment and label free quantitative proteomics, we characterized the SIRT5-regulated lysine malonylome in wild-type (WT) and Sirt5(-/-) mice. 1,137 malonyllysine sites were identified across 430 proteins, with 183 sites (from 120 proteins) significantly increased in Sirt5(-/-) animals. Pathway analysis identified glycolysis as the top SIRT5-regulated pathway. Importantly, glycolytic flux was diminished in primary hepatocytes from Sirt5(-/-) compared to WT mice. Substitution of malonylated lysine residue 184 in glyceraldehyde 3-phosphate dehydrogenase with glutamic acid, a malonyllysine mimic, suppressed its enzymatic activity. Comparison with our previous reports on acylation reveals that malonylation targets a different set of proteins than acetylation and succinylation. These data demonstrate that SIRT5 is a global regulator of lysine malonylation and provide a mechanism for regulation of energetic flux through glycolysis.
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Affiliation(s)
- Yuya Nishida
- Gladstone Institutes and University of California, San Francisco, San Francisco, CA 94158, USA
| | - Matthew J Rardin
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Chris Carrico
- Gladstone Institutes and University of California, San Francisco, San Francisco, CA 94158, USA
| | - Wenjuan He
- Gladstone Institutes and University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alexandria K Sahu
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Philipp Gut
- Gladstone Institutes and University of California, San Francisco, San Francisco, CA 94158, USA
| | - Rami Najjar
- Cell Signaling Technology, Inc, 3 Trask Lane, Danvers, MA 01923, USA
| | - Mark Fitch
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Marc Hellerstein
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; KineMed, Inc., Emeryville, CA 94608, USA
| | - Bradford W Gibson
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA.
| | - Eric Verdin
- Gladstone Institutes and University of California, San Francisco, San Francisco, CA 94158, USA.
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Hussain M, Janghorbani M, Schuette S, Considine RV, Chisholm RL, Mather KJ. Failure of hyperglycemia and hyperinsulinemia to compensate for impaired metabolic response to an oral glucose load. J Diabetes Complications 2015; 29:238-44. [PMID: 25511878 PMCID: PMC4333082 DOI: 10.1016/j.jdiacomp.2014.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/05/2014] [Accepted: 11/17/2014] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To evaluate whether the augmented insulin and glucose response to a glucose challenge is sufficient to compensate for defects in glucose utilization in obesity and type 2 diabetes, using a breath test measurement of integrated glucose metabolism. METHODS Non-obese, obese normoglycemic and obese type 2 diabetic subjects were studied on 2 consecutive days. A 75g oral glucose load spiked with ¹³C-glucose was administered, measuring exhaled breath ¹³CO₂ as an integrated measure of glucose metabolism and oxidation. A hyperinsulinemic euglycemic clamp was performed, measuring whole body glucose disposal rate. Body composition was measured by DEXA. Multivariable analyses were performed to evaluate the determinants of the breath ¹³CO₂. RESULTS Breath ¹³CO₂ was reduced in obese and type 2 diabetic subjects despite hyperglycemia and hyperinsulinemia. The primary determinants of breath response were lean mass, fat mass, fasting FFA concentrations, and OGTT glucose excursion. Multiple approaches to analysis showed that hyperglycemia and hyperinsulinemia were not sufficient to compensate for the defect in glucose metabolism in obesity and diabetes. CONCLUSIONS Augmented insulin and glucose responses during an OGTT are not sufficient to overcome the underlying defects in glucose metabolism in obesity and diabetes.
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Affiliation(s)
- M Hussain
- Indiana University School of Medicine, Indianapolis, IN
| | - M Janghorbani
- BioChemAnalysis Inc., Chicago IL; Center for Stable Isotope Research Inc, Chicago IL
| | | | - R V Considine
- Indiana University School of Medicine, Indianapolis, IN
| | - R L Chisholm
- Indiana University School of Medicine, Indianapolis, IN
| | - K J Mather
- Indiana University School of Medicine, Indianapolis, IN.
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Ardenkjaer-Larsen JH, Laustsen C, Bowen S, Rizi R. Hyperpolarized H2O MR angiography. Magn Reson Med 2013; 71:50-6. [DOI: 10.1002/mrm.25033] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2013] [Revised: 10/14/2013] [Accepted: 10/15/2013] [Indexed: 12/29/2022]
Affiliation(s)
- Jan H. Ardenkjaer-Larsen
- Technical University of Denmark; Kgs Lyngby Denmark
- Danish Research Center for Magnetic Resonance; Hvidovre Hospital; Hvidovre Denmark
- GE Healthcare; Broendby Denmark
| | - Christoffer Laustsen
- Danish Research Center for Magnetic Resonance; Hvidovre Hospital; Hvidovre Denmark
- The MR Research Centre; Department of Clinical Medicine; Aarhus University; Aarhus N Denmark
| | - Sean Bowen
- Technical University of Denmark; Kgs Lyngby Denmark
| | - Rahim Rizi
- Department of Radiology; University of Pennsylvania; Philadelphia Pennsylvania USA
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Roohk DJ, Mascharak S, Khambatta C, Leung H, Hellerstein M, Harris C. Dexamethasone-mediated changes in adipose triacylglycerol metabolism are exaggerated, not diminished, in the absence of a functional GR dimerization domain. Endocrinology 2013; 154:1528-39. [PMID: 23493372 PMCID: PMC3602623 DOI: 10.1210/en.2011-1047] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The glucocorticoid (GC) receptor (GR) has multiple effector mechanisms, including dimerization-mediated transactivation of target genes via DNA binding and transcriptional repression mediated by protein-protein interactions. Much attention has been focused on developing selective GR modulators that would dissociate adverse effects from therapeutic anti-inflammatory effects. The GR(dim/dim) mouse has a mutation in the dimerization domain of GR and has been shown to have attenuated transactivation with intact repression. To understand the role of GR dimerization-dependent targets in multiple tissues, we measured metabolic fluxes through several disease-relevant GC target pathways using heavy water labeling and mass spectrometry in wild-type and GR(dim/dim) mice administered the potent GC dexamethasone (DEX). Absolute triglyceride synthesis was increased in both wild-type and GR(dim/dim) mice by DEX in the inguinal and epididymal fat depots. GR(dim/dim) mice showed an exaggerated response to DEX in both depots. De novo lipogenesis was also greatly increased in both depots in response to DEX in GR(dim/dim), but not wild-type mice. In contrast, the inhibitory effect of DEX on bone and skin collagen synthesis rates was greater in wild-type compared with GR(dim/dim) mice. Wild-type mice were more sensitive to DEX-dependent decreases in insulin sensitivity than GR(dim/dim) mice. Wild-type and GR(dim/dim) mice were equally sensitive to DEX-dependent decreases in muscle protein synthesis. Chronic elevation of GCs in GR(dim/dim) mice results in severe runting and lethality. In conclusion, some metabolic effects of GC treatment are exaggerated in adipose tissue of GR(dim/dim) mice, suggesting that selective GR modulators based on dissociating GR transactivation from repression should be evaluated carefully.
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Affiliation(s)
- Donald J Roohk
- Department of Nutritional Science and Toxicology, University of California Berkeley, Berkeley, California 94720, USA
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11
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Berman ESF, Fortson SL, Snaith SP, Gupta M, Baer DS, Chery I, Blanc S, Melanson EL, Thomson PJ, Speakman JR. Direct analysis of δ2H and δ18O in natural and enriched human urine using laser-based, off-axis integrated cavity output spectroscopy. Anal Chem 2012; 84:9768-73. [PMID: 23075099 PMCID: PMC3517205 DOI: 10.1021/ac3016642] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The stable isotopes of hydrogen (δ(2)H) and oxygen (δ(18)O) in human urine are measured during studies of total energy expenditure by the doubly labeled water method, measurement of total body water, and measurement of insulin resistance by glucose disposal among other applications. An ultrasensitive laser absorption spectrometer based on off-axis integrated cavity output spectroscopy was demonstrated for simple and inexpensive measurement of stable isotopes in natural isotopic abundance and isotopically enriched human urine. Preparation of urine for analysis was simple and rapid (approximately 25 samples per hour), requiring no decolorizing or distillation steps. Analysis schemes were demonstrated to address sample-to-sample memory while still allowing analysis of 45 natural or 30 enriched urine samples per day. The instrument was linear over a wide range of water isotopes (δ(2)H = -454 to +1702 ‰ and δ(18)O = -58.3 to +265 ‰). Measurements of human urine were precise to better than 0.65 ‰ 1σ for δ(2)H and 0.09 ‰ 1σ for δ(18)O for natural urines, 1.1 ‰ 1σ for δ(2)H and 0.13 ‰ 1σ for δ(18)O for low enriched urines, and 1.0 ‰ 1σ for δ(2)H and 0.08 ‰ 1σ for δ(18)O for high enriched urines. Furthermore, the accuracy of the isotope measurements of human urines was verified to better than ±0.81 ‰ in δ(2)H and ±0.13 ‰ in δ(18)O (average deviation) against three independent isotope-ratio mass spectrometry laboratories. The ability to immediately and inexpensively measure the stable isotopes of water in human urine is expected to increase the number and variety of experiments which can be undertaken.
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Affiliation(s)
- Elena S F Berman
- Los Gatos Research, 67 East Evelyn Ave, Suite 3, Mountain View California 94043, United States.
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12
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Galgani JE, Ravussin E. Postprandial whole-body glycolysis is similar in insulin-resistant and insulin-sensitive non-diabetic humans. Diabetologia 2012; 55:737-42. [PMID: 22173627 PMCID: PMC4360888 DOI: 10.1007/s00125-011-2413-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Accepted: 11/21/2011] [Indexed: 11/27/2022]
Abstract
AIMS/HYPOTHESIS Insulin resistance is characterised by impaired glucose utilisation when measured by a euglycaemic-hyperinsulinaemic clamp. We hypothesised that, in response to postprandial conditions, non-diabetic individuals would have similar intracellular glycolytic and oxidative glucose metabolism independent of the degree of insulin resistance. METHODS Fourteen (seven male) sedentary, insulin-sensitive participants (mean ± SD: BMI 25 ± 4 kg/m²; age 39 ± 10 years; glucose disposal rate 9.4 ± 2.1 mg [kg estimated metabolic body size]⁻¹ min⁻¹) and 14 (six male) sedentary, non-diabetic, insulin-resistant volunteers (29 ± 4 kg/m²; 34 ± 13 years; 5.3 ± 1.2 mg [kg estimated metabolic body size]⁻¹ min⁻¹) received after a 10 h fast 60 g glucose plus 15 g [6,6-²H₂]glucose. Serum glucose and insulin concentrations, plasma ²H enrichment and whole-body gas exchange were determined before glucose ingestion and hourly thereafter for 4 h. Plasma ²H₂O production is an index of glycolytic disposal. On day 2, participants received a weight-maintenance diet. On day 3, a euglycaemic-hyperinsulinaemic clamp was performed. RESULTS Insulin-resistant individuals had about a twofold higher postprandial insulin response than insulin-sensitive individuals (p = 0.003). Resting metabolic rate was similar in the two groups before (p = 0.29) and after (p = 0.33-0.99 over time) glucose ingestion, whereas a trend for blunted glucose-induced thermogenesis was observed in insulin-resistant vs insulin-sensitive individuals (p = 0.06). However, over the 4 h after the 75 g glucose ingestion, glycolytic glucose disposal was the same in insulin-sensitive and insulin-resistant individuals (36.5 ± 3.7 and 36.2 ± 6.4 mmol, respectively; p = 0.99). Similarly, whole-body carbohydrate oxidation did not differ between the groups either before or after glucose ingestion (p = 0.41). CONCLUSIONS/INTERPRETATION Postprandial hyperinsulinaemia and modest hyperglycaemia overcome insulin resistance by enhancing tissue glucose uptake and intracellular glucose utilisation.
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Affiliation(s)
- J E Galgani
- Department of Nutrition, Faculty of Medicine, University of Chile, Independencia 1027, Clasificador 7, Santiago, Chile.
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13
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Beysen C, Murphy EJ, Deines K, Chan M, Tsang E, Glass A, Turner SM, Protasio J, Riiff T, Hellerstein MK. Effect of bile acid sequestrants on glucose metabolism, hepatic de novo lipogenesis, and cholesterol and bile acid kinetics in type 2 diabetes: a randomised controlled study. Diabetologia 2012; 55:432-42. [PMID: 22134839 DOI: 10.1007/s00125-011-2382-3] [Citation(s) in RCA: 114] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Accepted: 09/26/2011] [Indexed: 12/28/2022]
Abstract
AIMS/HYPOTHESIS The primary aim of this completed multicentre randomised, parallel, double-blind placebo-controlled study was to elucidate the mechanisms of glucose-lowering with colesevelam and secondarily to investigate its effects on lipid metabolism (hepatic de novo lipogenesis, cholesterol and bile acid synthesis). METHODS Participants with type 2 diabetes (HbA(1c) 6.7-10.0% [50-86 mmol/mol], fasting glucose <16.7 mmol/l, fasting triacylglycerols <3.9 mmol/l and LDL-cholesterol >1.55 mmol/l) treated with diet and exercise, sulfonylurea, metformin or a combination thereof, were randomised by a central coordinator to either 3.75 g/day colesevelam (n = 30) or placebo (n = 30) for 12 weeks at three clinical sites in the USA. The primary measure was the change from baseline in glucose kinetics with colesevelam compared to placebo treatment. Fasting and postprandial glucose, lipid and bile acid pathways were measured at baseline and post-treatment using stable isotope techniques. Plasma glucose, insulin, total glucagon-like peptide-1 (GLP-1), total glucose-dependent insulinotropic polypeptide (GIP), glucagon and fibroblast growth factor-19 (FGF-19) concentrations were measured during the fasting state and following a meal tolerance test. Data was collected by people blinded to treatment. RESULTS Compared with placebo, colesevelam improved HbA(1c) (mean change from baseline of 0.3 [SD 1.1]% for placebo [n = 28] and -0.3 [1.1]% for colesevelam [n = 26]), glucose concentrations, fasting plasma glucose clearance and glycolytic disposal of oral glucose. Colesevelam did not affect gluconeogenesis or appearance rate (absorption) of oral glucose. Fasting endogenous glucose production and glycogenolysis significantly increased with placebo but were unchanged with colesevelam (treatment effect did not reach statistical significance). Compared with placebo, colesevelam increased total GLP-1 and GIP concentrations and improved HOMA-beta cell function while insulin, glucagon and HOMA-insulin resistance were unchanged. Colesevelam increased cholesterol and bile acid synthesis and decreased FGF-19 concentrations. However, no effect was seen on fractional hepatic de novo lipogenesis. CONCLUSIONS/INTERPRETATION Colesevelam, a non-absorbed bile acid sequestrant, increased circulating incretins and improved tissue glucose metabolism in both the fasting and postprandial states in a manner different from other approved oral agents. TRIAL REGISTRATION ClinicalTrials.gov NCT00596427 FUNDING The study was funded by Daiichi Sankyo.
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Affiliation(s)
- C Beysen
- Kinemed, Inc., 5980 Horton Street Suite 470, Emeryville, CA 94608, USA.
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14
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Price JC, Holmes WE, Li KW, Floreani NA, Neese RA, Turner SM, Hellerstein MK. Measurement of human plasma proteome dynamics with (2)H(2)O and liquid chromatography tandem mass spectrometry. Anal Biochem 2011; 420:73-83. [PMID: 21964502 DOI: 10.1016/j.ab.2011.09.007] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2011] [Accepted: 09/06/2011] [Indexed: 11/18/2022]
Abstract
Dysfunction of protein turnover is a feature of many human diseases, and proteins are substrates in important biological processes. Currently, no method exists for the measurement of global protein turnover (i.e., proteome dynamics) that can be applied in humans. Here we describe the use of metabolic labeling with deuterium ((2)H) from (2)H(2)O and liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of mass isotopomer patterns to measure protein turnover. We show that the positions available for (2)H label incorporation in vivo can be calculated using peptide sequence. The isotopic incorporation values calculated by combinatorial analysis of mass isotopomer patterns in peptides correlate very closely with values established for individual amino acids. Inpatient and outpatient heavy water labeling protocols resulted in (2)H label incorporation sufficient for reproducible quantitation in humans. Replacement rates were similar for peptides deriving from the same protein. Using a kinetic model to account for the time course of each individual's (2)H(2)O enrichment curves, dynamics of approximately 100 proteins with half-lives ranging from 0.4 to 40 days were measured using 8 μl of plasma. The measured rates were consistent with literature values. This method can be used to measure in vivo proteome homeostasis in humans in disease and during therapeutic interventions.
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15
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Stanhope KL, Griffen SC, Bremer AA, Vink RG, Schaefer EJ, Nakajima K, Schwarz JM, Beysen C, Berglund L, Keim NL, Havel PJ. Metabolic responses to prolonged consumption of glucose- and fructose-sweetened beverages are not associated with postprandial or 24-h glucose and insulin excursions. Am J Clin Nutr 2011; 94:112-9. [PMID: 21613559 PMCID: PMC3127512 DOI: 10.3945/ajcn.110.002246] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Consumption of sugar-sweetened beverages has been shown to be associated with dyslipidemia, insulin resistance, fatty liver, diabetes, and cardiovascular disease. It has been proposed that adverse metabolic effects of chronic consumption of sugar-sweetened beverages are a consequence of increased circulating glucose and insulin excursions, ie, dietary glycemic index (GI). OBJECTIVE We determined whether the greater adverse effects of fructose than of glucose consumption were associated with glucose and insulin exposures. DESIGN The subjects were studied in a metabolic facility and consumed energy-balanced diets containing 55% of energy as complex carbohydrate for 2 wk (GI = 64). The subjects then consumed 25% of energy requirements as fructose- or glucose-sweetened beverages along with their usual ad libitum diets for 8 wk at home and then as part of energy-balanced diets for 2 wk at the metabolic facility (fructose GI = 38, glucose GI = 83). The 24-h glucose and insulin profiles and fasting plasma glycated albumin and fructosamine concentrations were measured 0, 2, 8, and 10 wk after beverage consumption. RESULTS Consumption of fructose-sweetened beverages lowered glucose and insulin postmeal peaks and the 23-h area under the curve compared with the baseline diet and with the consumption of glucose-sweetened beverages (all P < 0.001, effect of sugar). Plasma glycated albumin concentrations were lower 10 wk after fructose than after glucose consumption (P < 0.01, effect of sugar), whereas fructosamine concentrations did not differ between groups. CONCLUSION The results suggest that the specific effects of fructose, but not of glucose and insulin excursions, contribute to the adverse effects of consuming sugar-sweetened beverages on lipids and insulin sensitivity. This study is registered at clinicaltrials.gov as NCT01165853.
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Affiliation(s)
- Kimber L Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, School of Medicine, University of California, Davis, CA 95616, USA.
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Galgani JE, de Jonge L, Rood J, Smith SR, Young AA, Ravussin E. Urinary C-peptide excretion: a novel alternate measure of insulin sensitivity in physiological conditions. Obesity (Silver Spring) 2010; 18:1852-7. [PMID: 20360760 PMCID: PMC4346174 DOI: 10.1038/oby.2010.70] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Insulin sensitivity (IS) is measured by the euglycemic-hyperinsulinemic clamp under a nonphysiological condition. Daily C-peptide urinary excretion may be a physiological index of IS, because C-peptide is co-secreted with insulin as a function of nutrient intake and IS. The amount of (2)H(2)O released from glycolytic glucose metabolism after [6,6-(2)H(2)]-glucose ingestion was recently proposed as a physiological measure of IS. We compared these IS surrogates to the gold standard (euglycemic-hyperinsulinemic clamp). Thirty (15 male/15 female) sedentary, nondiabetic participants (27.2 +/- 4.0 (s.d.) kg/m(2), 35 +/- 12 years) were admitted for 3 days to our in-patient unit. After a 10-h fast, they received 60 g of glucose and 15 g of [6,6-(2)H(2)]-glucose. Before glucose ingestion and hourly thereafter for 4 h, plasma glucose and insulin concentrations, and plasma deuterium enrichment were determined. Plasma (2)H(2)O production divided by insulin response was used as the glycolytic index. On day 2, subjects spent 23 h in a metabolic chamber (eucaloric diet, 50% carbohydrate, 30% fat). Urinary C-peptide excretion was divided by energy intake yielding the C-peptide to energy intake ratio (CPEP/EI). After leaving the chamber (day 3, 10-h fast), IS was measured by a 2-h clamp (120 mU/m(2)/min). Average IS (clamp) was 7.3 +/- 2.6 mg glucose/kg estimated metabolic body size/min (range: 3.6-13.2). These values were inversely correlated with CPEP/EI (r = -0.62; P < 0.01) and positively with the glycolytic rate (r = 0.60; P < 0.01). In nondiabetic subjects, two novel estimates of IS--daily urinary C-peptide urinary excretion and glycolytic rate during an oral glucose tolerance test --were related to IS by a clamp.
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Affiliation(s)
| | | | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA
| | | | | | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA
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Abstract
In addition to acquiring a better understanding of foods that may have intrinsic health benefits, increasing our knowledge of dietary components that may adversely impact health and wellness, and the levels of consumption at which these adverse effects may occur, should also be an important priority for the Foods for Health initiative. This review discusses the evidence that additional research is needed to determine the adverse effects of consuming added sugars containing fructose. Current guidelines recommend limiting sugar consumption in order to prevent weight gain and promote nutritional adequacy. However, recent data suggest that fructose consumption in human results in increased visceral adiposity, lipid dysregulation, and decreased insulin sensitivity, all of which have been associated with increased risk for cardiovascular disease and type 2 diabetes. A proposed model for the differential effects of fructose and glucose is presented. The only published study to directly compare the effects of fructose with those of commonly consumed dietary sweeteners, high fructose corn syrup and sucrose, indicates that high fructose corn syrup and sucrose increase postprandial triglycerides comparably to pure fructose. Dose-response studies investigating the metabolic effects of prolonged consumption of fructose by itself, and in combination with glucose, on lipid metabolism and insulin sensitivity in both normal weight and overweight/obese subjects are needed.
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Affiliation(s)
- Kimber L. Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616
- Department of Nutrition, University of California, Davis, Davis, CA 95616
| | - Peter J. Havel
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616
- Department of Nutrition, University of California, Davis, Davis, CA 95616
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18
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Roohk DJ, Varady KA, Turner SM, Emson CL, Gelling RW, Shankaran M, Lindwall G, Shipp LE, Scanlan TS, Wang JC, Hellerstein MK. Differential In Vivo Effects on Target Pathways of a Novel Arylpyrazole Glucocorticoid Receptor Modulator Compared with Prednisolone. J Pharmacol Exp Ther 2010; 333:281-9. [DOI: 10.1124/jpet.109.162487] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Stanhope KL, Havel PJ. Fructose consumption: considerations for future research on its effects on adipose distribution, lipid metabolism, and insulin sensitivity in humans. J Nutr 2009; 139:1236S-1241S. [PMID: 19403712 PMCID: PMC3151025 DOI: 10.3945/jn.109.106641] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Results from a recent study investigating the metabolic effects of consuming fructose-sweetened beverages at 25% of energy requirements for 10 wk demonstrate that a high-fructose diet induces dyslipidemia, decreases insulin sensitivity, and increases visceral adiposity. The purpose of this review is to present aspects of the study design which may be critical for assessment of the metabolic effects of sugar consumption. Collection of postprandial blood samples is required to document the full effects of fructose on lipid metabolism. Fasting triglyceride (TG) concentrations are an unreliable index of fructose-induced dyslipidemia. Differences in the short-term (24-h) and long-term (>2 wk) effects of fructose consumption on TG and apolipoprotein-B demonstrate that acute effects can differ substantially from those occurring after sustained fructose exposure. Investigating the effects of fructose when consumed ad libitum compared with energy-balanced diets suggest that additive effects of fructose-induced de novo lipogenesis and positive energy balance may contribute to dyslipidemia and decreased insulin sensitivity. Increases of intra-abdominal fat observed in subjects consuming fructose, but not glucose, for 10 wk indicate that the 2 sugars have differential effects on regional adipose deposition. However, the increase of fasting glucose, insulin, and homeostasis model assessment-insulin resistance at 2 wk and the lack of increase of 24-h systemic FFA concentrations suggest that fructose decreases insulin sensitivity independently of visceral adiposity and FFA. The lower postprandial glucose and insulin excursions in subjects consuming fructose and increased excursions in those consuming glucose do not support a relationship between dietary glycemic index and the development of dyslipidemia, decreased insulin sensitivity, or increased visceral adiposity.
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20
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Stanhope KL, Schwarz JM, Keim NL, Griffen SC, Bremer AA, Graham JL, Hatcher B, Cox CL, Dyachenko A, Zhang W, McGahan JP, Seibert A, Krauss RM, Chiu S, Schaefer EJ, Ai M, Otokozawa S, Nakajima K, Nakano T, Beysen C, Hellerstein MK, Berglund L, Havel PJ. Consuming fructose-sweetened, not glucose-sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans. J Clin Invest 2009; 119:1322-34. [PMID: 19381015 DOI: 10.1172/jci37385] [Citation(s) in RCA: 1165] [Impact Index Per Article: 77.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2008] [Accepted: 02/11/2009] [Indexed: 12/12/2022] Open
Abstract
Studies in animals have documented that, compared with glucose, dietary fructose induces dyslipidemia and insulin resistance. To assess the relative effects of these dietary sugars during sustained consumption in humans, overweight and obese subjects consumed glucose- or fructose-sweetened beverages providing 25% of energy requirements for 10 weeks. Although both groups exhibited similar weight gain during the intervention, visceral adipose volume was significantly increased only in subjects consuming fructose. Fasting plasma triglyceride concentrations increased by approximately 10% during 10 weeks of glucose consumption but not after fructose consumption. In contrast, hepatic de novo lipogenesis (DNL) and the 23-hour postprandial triglyceride AUC were increased specifically during fructose consumption. Similarly, markers of altered lipid metabolism and lipoprotein remodeling, including fasting apoB, LDL, small dense LDL, oxidized LDL, and postprandial concentrations of remnant-like particle-triglyceride and -cholesterol significantly increased during fructose but not glucose consumption. In addition, fasting plasma glucose and insulin levels increased and insulin sensitivity decreased in subjects consuming fructose but not in those consuming glucose. These data suggest that dietary fructose specifically increases DNL, promotes dyslipidemia, decreases insulin sensitivity, and increases visceral adiposity in overweight/obese adults.
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Affiliation(s)
- Kimber L Stanhope
- Department of Molecular Biosciences, UCD, Davis, California 95616, USA
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21
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Abstract
OBJECTIVE To assess the whole-body glucose disposal in patients with both typical and atypical depression and to characterize the neuroendocrine responses during a hyper-, eu-, hypoglycemic stepwise clamp experiment in patients with both subtypes of major depression. Depressive disorders and alterations in glucose metabolism are closely associated. The glucose clamp technique is considered to be the "gold standard" for the assessment of whole-body glucose disposal. METHODS We studied 19 patients with typical major depressive disorder (MDD), 7 patients with atypical major depression, and 30 men and women of a healthy comparator group using a stepwise glucose clamp procedure. Glucose disposal rates were assessed and concentrations of hormones involved in glucose allocation were measured. RESULTS Glucose disposal rates were lower by 19% in patients with typical MDD and 30% in patients with atypical MDD than in the group of healthy controls (3.2 +/- 0.8 and 2.8 +/- 0.7 versus 4.0 +/- 1.0 mmol h(-1) kg(-1)). C-peptide concentrations were 26% higher in patients with atypical MDD and similar in patients with typical MDD and healthy controls. Vascular endothelial growth factor concentrations were 30% higher in typical MDD and similar in atypical MDD and the control group. CONCLUSIONS Whole-body glucose disposal is reduced in patients with typical and atypical depression. The observed neuroendocrine responses suggest a hyperactive allocation system in typical depression and a hypoactive allocation system in atypical depression.
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22
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Hellerstein MK. Exploiting complexity and the robustness of network architecture for drug discovery. J Pharmacol Exp Ther 2008; 325:1-9. [PMID: 18202293 DOI: 10.1124/jpet.107.131276] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The issue of complexity stands at the center of contemporary drug discovery and development. The central problem in drug development today is attrition of drug candidates identified by the modern molecular target-based discovery approach, due to two related features of complex metabolic networks: their fundamentally unpredictable response to targeted interventions and their "robustness" (tendency to maintain stable function in the face of internal or external perturbations). Complexity and adaptations are, therefore, generally seen as obstacles to drug discovery. Here, the converse proposition is presented-that the complexity and adaptive responses of highly interconnected metabolic networks can be exploited for therapeutic discovery. Unanticipated connectivity relationships may result in "off-target" changes in metabolic fluxes, leading to unexpected therapeutic actions of agents. Exploiting this approach requires that fully assembled living systems (in vivo models) be studied and that informative in vivo biomarkers of the activity of biochemical pathways responsible for disease be available. These biomarkers should be sensitive, predictive of functional endpoints, and have high enough throughput for efficient screening of large numbers of agents. To the extent that such biomarkers unambiguously reflect the activity of pathways that mediate disease or therapeutic response (i.e., are "authentic"), their utility will be increased. Examples are presented of pathway-based screening of approved drugs for unexpected actions. Results support the principle that agents that have one action typically have many actions, including unanticipated actions, reflecting connectivity relationships of complex networks. Pathway-based screening in vivo represents an alternative to the high attrition of the molecular target-based discovery paradigm.
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Affiliation(s)
- Marc K Hellerstein
- Department of Nutritional Sciences and Toxicology, 309 Morgan Hall, University of California, Berkeley, CA 94720.
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