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Van Woerkom A, Harney DJ, Nagarajan SR, Hakeem-Sanni MF, Lin J, Hooke M, Pilpitel T, Cooney GJ, Larance M, Saunders DN, Brandon AE, Hoy AJ. Hepatic lipid droplet-associated proteome changes distinguish dietary-induced fatty liver from glucose tolerance in male mice. Am J Physiol Endocrinol Metab 2024. [PMID: 38656127 DOI: 10.1152/ajpendo.00013.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
Fatty liver is characterized by the expansion of lipid droplets (LDs) and is associated with the development of many metabolic diseases. We assessed the morphology of hepatic LDs and performed quantitative proteomics in lean, glucose-tolerant mice compared to high-fat diet (HFD) fed mice that displayed hepatic steatosis and glucose intolerance as well as high-starch diet (HStD) fed mice who exhibited similar levels of hepatic steatosis but remained glucose tolerant. Both HFD and HStD-fed mice had more and larger LDs than Chow-fed animals. We observed striking differences in liver LD proteomes of HFD and HStD-fed mice compared to Chow-fed mice, with fewer differences between HFD and HStD. Taking advantage of our diet strategy, we identified a fatty liver LD proteome consisting of proteins common in HFD- and HStD-fed mice, as well as a proteome associated with glucose tolerance that included proteins shared in Chow and HStD but not HFD-fed mice. Notably, glucose intolerance was associated with changes in the ratio of adipose triglyceride lipase to perilipin 5 in the LD proteome, suggesting dysregulation of neutral lipid homeostasis in glucose-intolerant fatty liver. We conclude that our novel dietary approach uncouples ectopic lipid burden from insulin resistance-associated changes in the hepatic lipid droplet proteome.
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Affiliation(s)
- Andries Van Woerkom
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Dylan J Harney
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Shilpa R Nagarajan
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Mariam F Hakeem-Sanni
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Jinfeng Lin
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Matthew Hooke
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Tamara Pilpitel
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Mark Larance
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Darren N Saunders
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Amanda E Brandon
- Sydney Medical School, Charles Perking Centre D17, Univerity of Sydney, Sydney, New South Wales, Australia
| | - Andrew J Hoy
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
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2
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Cutler HB, Madsen S, Masson SWC, Cooke KC, Potter M, Burchfield JG, Stöckli J, Nelson ME, Cooney GJ, James DE. Dual Tracer Test to Measure Tissue-Specific Insulin Action in Individual Mice Identifies In Vivo Insulin Resistance Without Fasting Hyperinsulinemia. Diabetes 2024; 73:359-373. [PMID: 37699358 PMCID: PMC10882155 DOI: 10.2337/db23-0035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023]
Abstract
The ability of metabolically active tissues to increase glucose uptake in response to insulin is critical to whole-body glucose homeostasis. This report describes the Dual Tracer Test, a robust method involving sequential retro-orbital injection of [14C]2-deoxyglucose ([14C]2DG) alone, followed 40 min later by injection of [3H]2DG with a maximal dose of insulin to quantify both basal and insulin-stimulated 2DG uptake in the same mouse. The collection of both basal and insulin-stimulated measures from a single animal is imperative for generating high-quality data since differences in insulin action may be misinterpreted mechanistically if basal glucose uptake is not accounted for. The approach was validated in a classic diet-induced model of insulin resistance and a novel transgenic mouse with reduced GLUT4 expression that, despite ubiquitous peripheral insulin resistance, did not exhibit fasting hyperinsulinemia. This suggests that reduced insulin-stimulated glucose disposal is not a primary contributor to chronic hyperinsulinemia. The Dual Tracer Test offers a technically simple assay that enables the study of insulin action in many tissues simultaneously. By administering two tracers and accounting for both basal and insulin-stimulated glucose transport, this assay halves the required sample size for studies in inbred mice and demonstrates increased statistical power to detect insulin resistance, relative to other established approaches, using a single tracer. The Dual Tracer Test is a valuable addition to the metabolic phenotyping toolbox. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Harry B Cutler
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Søren Madsen
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Stewart W C Masson
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Kristen C Cooke
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Meg Potter
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - James G Burchfield
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Jacqueline Stöckli
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Marin E Nelson
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
| | - David E James
- School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
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3
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Yau B, Naghiloo S, Diaz-Vegas A, Carr AV, Van Gerwen J, Needham EJ, Jevon D, Chen SY, Hoehn KL, Brandon AE, Macia L, Cooney GJ, Shortreed MR, Smith LM, Keller MP, Thorn P, Larance M, James DE, Humphrey SJ, Kebede MA. Erratum: Proteomic pathways to metabolic disease and type 2 diabetes in the pancreatic islet. iScience 2024; 27:108707. [PMID: 38188515 PMCID: PMC10770518 DOI: 10.1016/j.isci.2023.108707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
[This corrects the article DOI: 10.1016/j.isci.2021.103099.].
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4
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Masson SWC, Madsen S, Cooke KC, Potter M, Vegas AD, Carroll L, Thillainadesan S, Cutler HB, Walder KR, Cooney GJ, Morahan G, Stöckli J, James DE. Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance. eLife 2023; 12:RP86961. [PMID: 37494090 PMCID: PMC10371229 DOI: 10.7554/elife.86961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023] Open
Abstract
Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. 'Diversity Outbred in Australia (DOz)' is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance to explore skeletal muscle's contribution to whole-body insulin action through metabolic phenotyping and skeletal muscle proteomics of 215 DOz mice. Linear modelling identified 553 proteins that associated with whole-body insulin sensitivity (Matsuda Index) including regulators of endocytosis and muscle proteostasis. To enrich for causality, we refined this network by focusing on negatively associated, genetically regulated proteins, resulting in a 76-protein fingerprint of insulin resistance. We sought to perturb this network and restore insulin action with small molecules by integrating the Broad Institute Connectivity Map platform and in vitro assays of insulin action using the Prestwick chemical library. These complementary approaches identified the antibiotic thiostrepton as an insulin resistance reversal agent. Subsequent validation in ex vivo insulin-resistant mouse muscle and palmitate-induced insulin-resistant myotubes demonstrated potent insulin action restoration, potentially via upregulation of glycolysis. This work demonstrates the value of a drug-centric framework to validate systems-level analysis by identifying potential therapeutics for insulin resistance.
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Affiliation(s)
- Stewart W C Masson
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Søren Madsen
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Kristen C Cooke
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Meg Potter
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Alexis Diaz Vegas
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Luke Carroll
- Australian Proteome Analysis Facility, Macquarie University, Macquarie Park, Australia
| | - Senthil Thillainadesan
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Harry B Cutler
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Ken R Walder
- School of Medicine, Deakin University, Geelong, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, Murdoch, Australia
| | - Jacqueline Stöckli
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
| | - David E James
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia
- School of Medical Sciences University of Sydney, Sydney, Australia
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5
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Osborne B, Wright LE, Brandon AE, Stuart E, Small L, Hoeks J, Schrauwen P, Sinclair DA, Montgomery MK, Cooney GJ, Turner N. SIRT3 overexpression in rat muscle does not ameliorate peripheral insulin resistance. J Endocrinol 2023:JOE-22-0101. [PMID: 37335200 DOI: 10.1530/joe-22-0101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/19/2023] [Indexed: 06/21/2023]
Abstract
Reduced expression of the NAD+-dependent deacetylase, SIRT3, has been associated with insulin resistance and metabolic dysfunction in humans and rodents. In this study we investigated whether specific overexpression of SIRT3 in vivo in skeletal muscle could prevent HFD-induced muscle insulin resistance. To address this we used a muscle-specific adeno-associated virus (AAV) to overexpress SIRT3 in rat tibialis and EDL muscles. Mitochondrial substrate oxidation, substrate switching and oxidative enzyme activity were assessed in skeletal muscle with and without SIRT3 overexpression. Muscle-specific insulin action was also assessed by hyperinsulinaemic-euglycaemic clamps in rats that underwent a 4-week HFD-feeding protocol. Ex vivo functional assays revealed elevated activity of selected SIRT3-target enzymes including hexokinase, isocitrate dehydrogenase and pyruvate dehydrogenase that was associated with an increase in the ability to switch between fatty acid and glucose-derived substrates in muscle with SIRT3 overexpression. However, during the clamp, muscle from rats fed a HFD with increased SIRT3 expression displayed equally impaired glucose uptake and insulin-stimulated glycogen synthesis as the contralateral control muscle. Intramuscular triglyceride content was similarly increased in muscle of high fat fed rats, regardless of SIRT3 status. Thus, despite SIRT3 KO mouse models indicating many beneficial metabolic roles for SIRT3, our findings show that muscle-specific overexpression of SIRT3 has only minor effects on the acute development of skeletal muscle insulin resistance in high fat fed rats.
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Affiliation(s)
- Brenna Osborne
- B Osborne, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Lauren E Wright
- L Wright, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Amanda E Brandon
- A Brandon, School of Medical Sciences, The University of Sydney Charles Perkins Centre, Sydney, Australia
| | - Ella Stuart
- E Stuart, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Lewin Small
- L Small, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Joris Hoeks
- J Hoeks, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Patrick Schrauwen
- P Schrauwen, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - David A Sinclair
- D Sinclair, Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Harvard Medical School, Boston, United States
| | - Magdalene K Montgomery
- M Montgomery, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Gregory J Cooney
- G Cooney, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, Australia
| | - Nigel Turner
- N Turner, Cellular Bioenergetics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia
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6
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Thai LM, O’Reilly L, Reibe-Pal S, Sue N, Holliday H, Small L, Schmitz-Peiffer C, Dhenni R, Wang-Wei Tsai V, Norris N, Yau B, Zhang X, Lee K, Yan C, Shi YC, Kebede MA, Brink R, Cooney GJ, Irvine KM, Breit SN, Phan TG, Swarbrick A, Biden TJ. β-cell function is regulated by metabolic and epigenetic programming of islet-associated macrophages, involving Axl, Mertk, and TGFβ receptor signaling. iScience 2023; 26:106477. [PMID: 37091234 PMCID: PMC10113792 DOI: 10.1016/j.isci.2023.106477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/13/2023] [Accepted: 03/19/2023] [Indexed: 04/25/2023] Open
Abstract
We have exploited islet-associated macrophages (IAMs) as a model of resident macrophage function, focusing on more physiological conditions than the commonly used extremes of M1 (inflammation) versus M2 (tissue remodeling) polarization. Under steady state, murine IAMs are metabolically poised between aerobic glycolysis and oxidative phosphorylation, and thereby exert a brake on glucose-stimulated insulin secretion (GSIS). This is underpinned by epigenetic remodeling via the metabolically regulated histone demethylase Kdm5a. Conversely, GSIS is enhanced by engaging Axl receptors on IAMs, or by augmenting their oxidation of glucose. Following high-fat feeding, efferocytosis is stimulated in IAMs in conjunction with Mertk and TGFβ receptor signaling. This impairs GSIS and potentially contributes to β-cell failure in pre-diabetes. Thus, IAMs serve as relays in many more settings than currently appreciated, fine-tuning insulin secretion in response to dynamic changes in the external environment. Intervening in this nexus might represent a means of preserving β-cell function during metabolic disease.
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Affiliation(s)
- Le May Thai
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Liam O’Reilly
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | | | - Nancy Sue
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Holly Holliday
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Lewin Small
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Carsten Schmitz-Peiffer
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Rama Dhenni
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | | | - Nicholas Norris
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Belinda Yau
- Centre for Applied Medical Research, Sydney, NSW, Australia
| | - Xuan Zhang
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Kailun Lee
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Chenxu Yan
- Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Yan-Chuan Shi
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Melkam A. Kebede
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Robert Brink
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Gregory J. Cooney
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | | | - Samuel N. Breit
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
- Centre for Applied Medical Research, Sydney, NSW, Australia
| | - Tri G. Phan
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Alexander Swarbrick
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Trevor J. Biden
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
- Corresponding author
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7
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Brandon AE, Small L, Nguyen TV, Suryana E, Gong H, Yassmin C, Hancock SE, Pulpitel T, Stonehouse S, Prescott L, Kebede MA, Yau B, Quek LE, Kowalski GM, Bruce CR, Turner N, Cooney GJ. Insulin sensitivity is preserved in mice made obese by feeding a high starch diet. eLife 2022; 11:79250. [DOI: 10.7554/elife.79250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022] Open
Abstract
Obesity is generally associated with insulin resistance in liver and muscle and increased risk of developing type 2 diabetes, however there is a population of obese people that remain insulin sensitive. Similarly, recent work suggests that mice fed high carbohydrate diets can become obese without apparent glucose intolerance. To investigate this phenomenon further, we fed mice either a high fat (Hi-F) or high starch (Hi-ST) diet and measured adiposity, glucose tolerance, insulin sensitivity and tissue lipids compared to control mice fed a standard laboratory chow. Both Hi-ST and Hi-F mice accumulated a similar amount of fat and tissue triglyceride compared to chow-fed mice. However while Hi-F diet mice developed glucose intolerance as well as liver and muscle insulin resistance (assessed via euglycemic/hyperinsulinemic clamp), obese Hi-ST mice maintained glucose tolerance and insulin action similar to lean, chow-fed controls. This preservation of insulin action despite obesity in Hi-ST mice was associated with differences in de novo lipogenesis and levels of C22:0 ceramide in liver and C18:0 ceramide in muscle. This indicates that dietary manipulation can influence insulin action independently of the level of adiposity and that the presence of specific ceramide species correlate with these differences.
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Affiliation(s)
| | - Lewin Small
- Diabetes and Metabolism Division, Garvan Institute of Medical Research
| | - Tuong-Vi Nguyen
- Diabetes and Metabolism Division, Garvan Institute of Medical Research
| | - Eurwin Suryana
- Diabetes and Metabolism Division, Garvan Institute of Medical Research
| | - Henry Gong
- School of Medical Sciences, University of Sydney
| | | | | | - Tamara Pulpitel
- School of Life and Environmental Sciences, University of Sydney
| | | | | | - Melkam A Kebede
- School of Life and Environmental Sciences, University of Sydney
| | - Belinda Yau
- School of Life and Environmental Sciences, University of Sydney
| | - Lake-Ee Quek
- School of Mathematics and Statistics, University of Sydney
| | - Greg M Kowalski
- Institute for Physical Activity and Nutrition, Deakin University
| | - Clinton R Bruce
- Institute for Physical Activity and Nutrition, Deakin University
| | - Nigel Turner
- Department of Pharmacology, University of New South Wales
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8
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Yau B, Naghiloo S, Diaz-Vegas A, Carr AV, Van Gerwen J, Needham EJ, Jevon D, Chen SY, Hoehn KL, Brandon AE, Macia L, Cooney GJ, Shortreed MR, Smith LM, Keller MP, Thorn P, Larance M, James DE, Humphrey SJ, Kebede MA. Proteomic pathways to metabolic disease and type 2 diabetes in the pancreatic islet. iScience 2021; 24:103099. [PMID: 34622154 PMCID: PMC8479695 DOI: 10.1016/j.isci.2021.103099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/09/2021] [Accepted: 09/06/2021] [Indexed: 12/13/2022] Open
Abstract
Pancreatic islets are essential for maintaining physiological blood glucose levels, and declining islet function is a hallmark of type 2 diabetes. We employ mass spectrometry-based proteomics to systematically analyze islets from 9 genetic or diet-induced mouse models representing a broad cross-section of metabolic health. Quantifying the islet proteome to a depth of >11,500 proteins, this study represents the most detailed analysis of mouse islet proteins to date. Our data highlight that the majority of islet proteins are expressed in all strains and diets, but more than half of the proteins vary in expression levels, principally due to genetics. Associating these varied protein expression levels on an individual animal basis with individual phenotypic measures reveals islet mitochondrial function as a major positive indicator of metabolic health regardless of strain. This compendium of strain-specific and dietary changes to mouse islet proteomes represents a comprehensive resource for basic and translational islet cell biology.
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Affiliation(s)
- Belinda Yau
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Sheyda Naghiloo
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Alexis Diaz-Vegas
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Austin V. Carr
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Julian Van Gerwen
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Elise J. Needham
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Dillon Jevon
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Sing-Young Chen
- Department of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, NSW 2052, Australia
| | - Kyle L. Hoehn
- Department of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, NSW 2052, Australia
- Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA
| | - Amanda E. Brandon
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Laurance Macia
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Gregory J. Cooney
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | | | - Lloyd M. Smith
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Mark P. Keller
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Peter Thorn
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
| | - Mark Larance
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - David E. James
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Sean J. Humphrey
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Melkam A. Kebede
- Discipline of Physiology, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Camperdown 2006, Australia
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9
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Wali JA, Milner AJ, Luk AWS, Pulpitel TJ, Dodgson T, Facey HJW, Wahl D, Kebede MA, Senior AM, Sullivan MA, Brandon AE, Yau B, Lockwood GP, Koay YC, Ribeiro R, Solon-Biet SM, Bell-Anderson KS, O'Sullivan JF, Macia L, Forbes JM, Cooney GJ, Cogger VC, Holmes A, Raubenheimer D, Le Couteur DG, Simpson SJ. Impact of dietary carbohydrate type and protein-carbohydrate interaction on metabolic health. Nat Metab 2021; 3:810-828. [PMID: 34099926 DOI: 10.1038/s42255-021-00393-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 04/19/2021] [Indexed: 02/07/2023]
Abstract
Reduced protein intake, through dilution with carbohydrate, extends lifespan and improves mid-life metabolic health in animal models. However, with transition to industrialised food systems, reduced dietary protein is associated with poor health outcomes in humans. Here we systematically interrogate the impact of carbohydrate quality in diets with varying carbohydrate and protein content. Studying 700 male mice on 33 isocaloric diets, we find that the type of carbohydrate and its digestibility profoundly shape the behavioural and physiological responses to protein dilution, modulate nutrient processing in the liver and alter the gut microbiota. Low (10%)-protein, high (70%)-carbohydrate diets promote the healthiest metabolic outcomes when carbohydrate comprises resistant starch (RS), yet the worst outcomes were with a 50:50 mixture of monosaccharides fructose and glucose. Our findings could explain the disparity between healthy, high-carbohydrate diets and the obesogenic impact of protein dilution by glucose-fructose mixtures associated with highly processed diets.
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Affiliation(s)
- Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia.
| | - Annabelle J Milner
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Alison W S Luk
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Tamara J Pulpitel
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Tim Dodgson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Harrison J W Facey
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Devin Wahl
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Melkam A Kebede
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mitchell A Sullivan
- Mater Research Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Amanda E Brandon
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Belinda Yau
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Glen P Lockwood
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Yen Chin Koay
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Rosilene Ribeiro
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Kim S Bell-Anderson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - John F O'Sullivan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Laurence Macia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Josephine M Forbes
- Mater Research Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Andrew Holmes
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
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10
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Le Couteur DG, Solon-Biet SM, Cogger VC, Ribeiro R, de Cabo R, Raubenheimer D, Cooney GJ, Simpson SJ. Branched chain amino acids, aging and age-related health. Ageing Res Rev 2020; 64:101198. [PMID: 33132154 DOI: 10.1016/j.arr.2020.101198] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/04/2020] [Accepted: 10/16/2020] [Indexed: 02/08/2023]
Abstract
Branched chain amino acids (BCAA: leucine, valine, isoleucine) have key physiological roles in the regulation of protein synthesis, metabolism, food intake and aging. Many studies report apparently inconsistent conclusions about the relationships between blood levels of BCAAs or dietary manipulation of BCAAs with age-related changes in body composition, sarcopenia, obesity, insulin and glucose metabolism, and aging biology itself. These divergent results can be resolved by consideration of the role of BCAAs as signalling molecules and the bidirectional mechanistic relationship between BCAAs and some aging phenotypes. The effects of BCAAs are also influenced by the background nutritional composition such as macronutrient ratios and imbalance with other amino acids. Understanding the interaction between BCAAs and other components of the diet may provide new opportunities for influencing age-related outcomes through manipulation of dietary BCAAs together with titration of macronutrient ratios and other amino acids.
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11
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Hunt NJ, Lockwood GP, Kang SWS, Pulpitel T, Clark X, Mao H, McCourt PAG, Cooney GJ, Wali JA, Le Couteur FH, Le Couteur DG, Cogger VC. The Effects of Metformin on Age-Related Changes in the Liver Sinusoidal Endothelial Cell. J Gerontol A Biol Sci Med Sci 2020; 75:278-285. [PMID: 31198956 DOI: 10.1093/gerona/glz153] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Indexed: 12/17/2022] Open
Abstract
Age-related changes in the liver sinusoidal endothelium, particularly the reduction in fenestrations, contribute to insulin resistance in old age. Metformin impacts on the aging process and improves insulin resistance. Therefore, the effects of metformin on the liver sinusoidal endothelium were studied. Metformin increased fenestrations in liver sinusoidal endothelial cells isolated from both young and old mice. Mice administered metformin in the diet for 12 months had increased fenestrations and this was associated with lower insulin levels. The effect of metformin on fenestrations was blocked by inhibitors of AMP-activated protein kinase (AMPK), endothelial nitric oxide synthase, and myosin light chain kinase phosphorylation. Metformin led to increased transgelin expression and structural changes in the actin cytoskeleton but had no effect on lactate production. Metformin also generated fenestration-like structures in SK-Hep1 cells, a liver endothelial cell line, and this was associated with increased ATP, cGMP, and mitochondrial activity. In conclusion, metformin ameliorates age-related changes in the liver sinusoidal endothelial cell via AMPK and endothelial nitric oxide pathways, which might promote insulin sensitivity in the liver, particularly in old age.
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Affiliation(s)
- Nicholas J Hunt
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia.,Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Concord Clinical School, Sydney Medical School, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Glen P Lockwood
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia.,Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Sun Woo Sophie Kang
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia.,Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Ximonie Clark
- Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Hong Mao
- Department of Medical Biology, University of Tromsø - The Arctic University of Norway
| | - Peter A G McCourt
- Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia.,Department of Medical Biology, University of Tromsø - The Arctic University of Norway
| | - Gregory J Cooney
- Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Jibran A Wali
- Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, New South Wales, Australia
| | - Frank H Le Couteur
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia
| | - David G Le Couteur
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia.,Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Concord Clinical School, Sydney Medical School, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
| | - Victoria C Cogger
- ANZAC Research Institute, Biogerontology Laboratory, Concord Repatriation General Hospital, New South Wales, Australia.,Aging and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Repatriation General Hospital, New South Wales, Australia.,Concord Clinical School, Sydney Medical School, New South Wales, Australia.,Charles Perkins Centre, Nutritional Ecology and Physiology Laboratory, The University of Sydney, New South Wales, Australia
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12
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Krycer JR, Quek LE, Francis D, Zadoorian A, Weiss FC, Cooke KC, Nelson ME, Diaz-Vegas A, Humphrey SJ, Scalzo R, Hirayama A, Ikeda S, Shoji F, Suzuki K, Huynh K, Giles C, Varney B, Nagarajan SR, Hoy AJ, Soga T, Meikle PJ, Cooney GJ, Fazakerley DJ, James DE. Insulin signaling requires glucose to promote lipid anabolism in adipocytes. J Biol Chem 2020; 295:13250-13266. [PMID: 32723868 DOI: 10.1074/jbc.ra120.014907] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/14/2020] [Indexed: 12/12/2022] Open
Abstract
Adipose tissue is essential for metabolic homeostasis, balancing lipid storage and mobilization based on nutritional status. This is coordinated by insulin, which triggers kinase signaling cascades to modulate numerous metabolic proteins, leading to increased glucose uptake and anabolic processes like lipogenesis. Given recent evidence that glucose is dispensable for adipocyte respiration, we sought to test whether glucose is necessary for insulin-stimulated anabolism. Examining lipogenesis in cultured adipocytes, glucose was essential for insulin to stimulate the synthesis of fatty acids and glyceride-glycerol. Importantly, glucose was dispensable for lipogenesis in the absence of insulin, suggesting that distinct carbon sources are used with or without insulin. Metabolic tracing studies revealed that glucose was required for insulin to stimulate pathways providing carbon substrate, NADPH, and glycerol 3-phosphate for lipid synthesis and storage. Glucose also displaced leucine as a lipogenic substrate and was necessary to suppress fatty acid oxidation. Together, glucose provided substrates and metabolic control for insulin to promote lipogenesis in adipocytes. This contrasted with the suppression of lipolysis by insulin signaling, which occurred independently of glucose. Given previous observations that signal transduction acts primarily before glucose uptake in adipocytes, these data are consistent with a model whereby insulin initially utilizes protein phosphorylation to stimulate lipid anabolism, which is sustained by subsequent glucose metabolism. Consequently, lipid abundance was sensitive to glucose availability, both during adipogenesis and in Drosophila flies in vivo Together, these data highlight the importance of glucose metabolism to support insulin action, providing a complementary regulatory mechanism to signal transduction to stimulate adipose anabolism.
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Affiliation(s)
- James R Krycer
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Lake-Ee Quek
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; School of Mathematics and Statistics, University of Sydney, Sydney, New South Wales, Australia
| | - Deanne Francis
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Armella Zadoorian
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Fiona C Weiss
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Kristen C Cooke
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Marin E Nelson
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Alexis Diaz-Vegas
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Sean J Humphrey
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Richard Scalzo
- Faculty of Engineering and Information Technologies, University of Sydney, Sydney, New South Wales, Australia
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), Otemachi, Chiyoda-Ku, Tokyo, Japan
| | - Satsuki Ikeda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Futaba Shoji
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Kumi Suzuki
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Bianca Varney
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Shilpa R Nagarajan
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Andrew J Hoy
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), Otemachi, Chiyoda-Ku, Tokyo, Japan
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Daniel J Fazakerley
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - David E James
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
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13
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Alexopoulos SJ, Chen SY, Brandon AE, Salamoun JM, Byrne FL, Garcia CJ, Beretta M, Olzomer EM, Shah DP, Philp AM, Hargett SR, Lawrence RT, Lee B, Sligar J, Carrive P, Tucker SP, Philp A, Lackner C, Turner N, Cooney GJ, Santos WL, Hoehn KL. Mitochondrial uncoupler BAM15 reverses diet-induced obesity and insulin resistance in mice. Nat Commun 2020; 11:2397. [PMID: 32409697 PMCID: PMC7224297 DOI: 10.1038/s41467-020-16298-2] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 04/23/2020] [Indexed: 12/12/2022] Open
Abstract
Obesity is a health problem affecting more than 40% of US adults and 13% of the global population. Anti-obesity treatments including diet, exercise, surgery and pharmacotherapies have so far failed to reverse obesity incidence. Herein, we target obesity with a pharmacotherapeutic approach that decreases caloric efficiency by mitochondrial uncoupling. We show that a recently identified mitochondrial uncoupler BAM15 is orally bioavailable, increases nutrient oxidation, and decreases body fat mass without altering food intake, lean body mass, body temperature, or biochemical and haematological markers of toxicity. BAM15 decreases hepatic fat, decreases inflammatory lipids, and has strong antioxidant effects. Hyperinsulinemic-euglycemic clamp studies show that BAM15 improves insulin sensitivity in multiple tissue types. Collectively, these data demonstrate that pharmacologic mitochondrial uncoupling with BAM15 has powerful anti-obesity and insulin sensitizing effects without compromising lean mass or affecting food intake.
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Affiliation(s)
- Stephanie J Alexopoulos
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Sing-Young Chen
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Amanda E Brandon
- Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, NSW, 2006, Australia
| | - Joseph M Salamoun
- Department of Chemistry and Virginia Tech Centre for Drug Discovery, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Frances L Byrne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Christopher J Garcia
- Department of Chemistry and Virginia Tech Centre for Drug Discovery, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Martina Beretta
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Ellen M Olzomer
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Divya P Shah
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Ashleigh M Philp
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Stefan R Hargett
- Department of Pharmacology, University of Virginia, Charlottesville, VA, 22908, USA
| | - Robert T Lawrence
- Department of Pharmacology, University of Virginia, Charlottesville, VA, 22908, USA
| | - Brendan Lee
- Biological Resources Imaging Laboratory, University of New South Wales, Sydney, NSW, 2052, Australia
| | - James Sligar
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Pascal Carrive
- Department of Anatomy, School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Simon P Tucker
- Continuum Biosciences Pty Ltd., Sydney, NSW, 2035, Australia
| | - Andrew Philp
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Carolin Lackner
- Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Nigel Turner
- Department of Pharmacology, School of Medical Science, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Gregory J Cooney
- Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, NSW, 2006, Australia
| | - Webster L Santos
- Department of Chemistry and Virginia Tech Centre for Drug Discovery, Virginia Tech, Blacksburg, VA, 24061, USA.
- Continuum Biosciences Pty Ltd., Sydney, NSW, 2035, Australia.
| | - Kyle L Hoehn
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
- Department of Pharmacology, University of Virginia, Charlottesville, VA, 22908, USA.
- Continuum Biosciences Pty Ltd., Sydney, NSW, 2035, Australia.
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14
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Freire T, Senior AM, Perks R, Pulpitel T, Clark X, Brandon AE, Wahl D, Hatchwell L, Le Couteur DG, Cooney GJ, Larance M, Simpson SJ, Solon-Biet SM. Sex-specific metabolic responses to 6 hours of fasting during the active phase in young mice. J Physiol 2020; 598:2081-2092. [PMID: 32198893 DOI: 10.1113/jp278806] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 03/04/2020] [Indexed: 02/06/2023] Open
Abstract
KEY POINTS Night time/active phase food restriction for 6 h impaired glucose intolerance in young male and female mice. Females displayed increased capacity for lipogenesis and triglyceride storage in response to a short daily fast. Females had lower fasting insulin levels and an increased potential for utilizing fat for energy through β-oxidation compared to males. The need for the inclusion of both sexes, and the treatment of sex as an independent variable, is emphasized within the context of this fasting regime. ABSTRACT There is growing interest in understanding the mechanistic significance and benefits of fasting physiology in combating obesity. Increasing the fasting phase of a normal day can promote restoration and repair mechanisms that occur during the post-absorptive period. Most studies exploring the effect of restricting food access on mitigating obesity have done so with a large bias towards the use of male mice. Here, we disentangle the roles of sex, food intake and food withdrawal in the response to a short-term daily fasting intervention, in which food was removed for 6 h in the dark/active phase of young, 8-week-old mice. We showed that the removal of food during the dark phase impaired glucose tolerance in males and females, possibly due to the circadian disruption induced by this feeding protocol. Although both sexes demonstrated similar patterns of food intake, body composition and various metabolic markers, there were clear sex differences in the magnitude and extent of these responses. While females displayed enhanced capacity for lipogenesis and triglyceride storage, they also had low fasting insulin levels and an increased potential for utilizing available energy sources such as fat for energy through β-oxidation. Our results highlight the intrinsic biological and metabolic disparities between male and female mice, emphasizing the growing need for the inclusion of both sexes in scientific research. Furthermore, our results illustrate sex-specific metabolic pathways that regulate lipogenesis, obesity and overall metabolic health.
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Affiliation(s)
- Therese Freire
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Ruth Perks
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Ximonie Clark
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Amanda E Brandon
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Medical Sciences, Faculty of Health and Medicine, University of Sydney, Sydney, NSW, Australia
| | - Devin Wahl
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Medical Sciences, Faculty of Health and Medicine, University of Sydney, Sydney, NSW, Australia
| | - Luke Hatchwell
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Ageing and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord, NSW, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Medical Sciences, Faculty of Health and Medicine, University of Sydney, Sydney, NSW, Australia
| | - Mark Larance
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW, Australia.,School of Medical Sciences, Faculty of Health and Medicine, University of Sydney, Sydney, NSW, Australia
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15
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Solon-Biet SM, McMahon AC, Ballard JWO, Ruohonen K, Wu LE, Cogger VC, Warren A, Huang X, Pichaud N, Melvin RG, Gokarn R, Khalil M, Turner N, Cooney GJ, Sinclair DA, Raubenheimer D, Le Couteur DG, Simpson SJ. The Ratio of Macronutrients, Not Caloric Intake, Dictates Cardiometabolic Health, Aging, and Longevity in Ad Libitum-Fed Mice. Cell Metab 2020; 31:654. [PMID: 32130886 DOI: 10.1016/j.cmet.2020.01.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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16
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Krycer JR, Quek LE, Francis D, Fazakerley DJ, Elkington SD, Diaz-Vegas A, Cooke KC, Weiss FC, Duan X, Kurdyukov S, Zhou PX, Tambar UK, Hirayama A, Ikeda S, Kamei Y, Soga T, Cooney GJ, James DE. Lactate production is a prioritized feature of adipocyte metabolism. J Biol Chem 2020; 295:83-98. [PMID: 31690627 PMCID: PMC6952601 DOI: 10.1074/jbc.ra119.011178] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 10/31/2019] [Indexed: 12/14/2022] Open
Abstract
Adipose tissue is essential for whole-body glucose homeostasis, with a primary role in lipid storage. It has been previously observed that lactate production is also an important metabolic feature of adipocytes, but its relationship to adipose and whole-body glucose disposal remains unclear. Therefore, using a combination of metabolic labeling techniques, here we closely examined lactate production of cultured and primary mammalian adipocytes. Insulin treatment increased glucose uptake and conversion to lactate, with the latter responding more to insulin than did other metabolic fates of glucose. However, lactate production did not just serve as a mechanism to dispose of excess glucose, because we also observed that lactate production in adipocytes did not solely depend on glucose availability and even occurred independently of glucose metabolism. This suggests that lactate production is prioritized in adipocytes. Furthermore, knocking down lactate dehydrogenase specifically in the fat body of Drosophila flies lowered circulating lactate and improved whole-body glucose disposal. These results emphasize that lactate production is an additional metabolic role of adipose tissue beyond lipid storage and release.
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Affiliation(s)
- James R Krycer
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Lake-Ee Quek
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Deanne Francis
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Daniel J Fazakerley
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom
| | - Sarah D Elkington
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Alexis Diaz-Vegas
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Kristen C Cooke
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Fiona C Weiss
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Xiaowen Duan
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Sergey Kurdyukov
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Ping-Xin Zhou
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9038; School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Uttam K Tambar
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9038
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan
| | - Satsuki Ikeda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Yushi Kamei
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Sydney Medical School, The University of Sydney, Sydney, New South Wales 2006, Australia.
| | - David E James
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Sydney Medical School, The University of Sydney, Sydney, New South Wales 2006, Australia.
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17
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Krycer JR, Elkington SD, Diaz-Vegas A, Cooke KC, Burchfield JG, Fisher-Wellman KH, Cooney GJ, Fazakerley DJ, James DE. Mitochondrial oxidants, but not respiration, are sensitive to glucose in adipocytes. J Biol Chem 2020; 295:99-110. [PMID: 31744882 PMCID: PMC6952605 DOI: 10.1074/jbc.ra119.011695] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Indexed: 11/06/2022] Open
Abstract
Insulin action in adipose tissue is crucial for whole-body glucose homeostasis, with insulin resistance being a major risk factor for metabolic diseases such as type 2 diabetes. Recent studies have proposed mitochondrial oxidants as a unifying driver of adipose insulin resistance, serving as a signal of nutrient excess. However, neither the substrates for nor sites of oxidant production are known. Because insulin stimulates glucose utilization, we hypothesized that glucose oxidation would fuel respiration, in turn generating mitochondrial oxidants. This would impair insulin action, limiting further glucose uptake in a negative feedback loop of "glucose-dependent" insulin resistance. Using primary rat adipocytes and cultured 3T3-L1 adipocytes, we observed that insulin increased respiration, but notably this occurred independently of glucose supply. In contrast, glucose was required for insulin to increase mitochondrial oxidants. Despite rising to similar levels as when treated with other agents that cause insulin resistance, glucose-dependent mitochondrial oxidants failed to cause insulin resistance. Subsequent studies revealed a temporal relationship whereby mitochondrial oxidants needed to increase before the insulin stimulus to induce insulin resistance. Together, these data reveal that (a) adipocyte respiration is principally fueled from nonglucose sources; (b) there is a disconnect between respiration and oxidative stress, whereby mitochondrial oxidant levels do not rise with increased respiration unless glucose is present; and (c) mitochondrial oxidative stress must precede the insulin stimulus to cause insulin resistance, explaining why short-term, insulin-dependent glucose utilization does not promote insulin resistance. These data provide additional clues to mechanistically link nutrient excess to adipose insulin resistance.
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Affiliation(s)
- James R Krycer
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Sarah D Elkington
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Alexis Diaz-Vegas
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Kristen C Cooke
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - James G Burchfield
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Kelsey H Fisher-Wellman
- East Carolina Diabetes and Obesity Institute, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Sydney Medical School, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Daniel J Fazakerley
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom.
| | - David E James
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales 2006, Australia; Sydney Medical School, The University of Sydney, Sydney, New South Wales 2006, Australia.
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18
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Gokarn R, Solon-Biet SM, Cogger VC, Cooney GJ, Wahl D, McMahon AC, Mitchell JR, Mitchell SJ, Hine C, de Cabo R, Raubenheimer D, Simpson SJ, Le Couteur DG. Long-term Dietary Macronutrients and Hepatic Gene Expression in Aging Mice. J Gerontol A Biol Sci Med Sci 2019; 73:1618-1625. [PMID: 29688281 DOI: 10.1093/gerona/gly065] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Indexed: 12/13/2022] Open
Abstract
Nutrition influences both hepatic function and aging, but mechanisms are poorly understood. Here, the effects of lifelong, ad libitum-fed diets varying in macronutrients and energy on hepatic gene expression were studied. Gene expression was measured using Affymetrix mouse arrays in livers of 46 mice aged 15 months fed one of 25 diets varying in protein, carbohydrates, fat, and energy density from 3 weeks of age. Gene expression was almost entirely influenced by protein intake. Carbohydrate and fat intake had few effects on gene expression compared with protein. Pathways and processes associated with protein intake included those involved with mitochondrial function, metabolic signaling (PI3K-Akt, AMPK, mTOR) and metabolism of protein and amino acids. Protein intake had variable effects on genes associated with regulation of longevity and influenced by caloric restriction. Among the genes of interest with expression that were significantly associated with protein intake are Cth, Gls2, Igf1, and Nnmt, which were increased with higher protein intake, and Igf2bp2, Fgf21, Prkab2, and Mtor, which were increased with lower protein intake. Dietary protein has a powerful impact on hepatic gene expression in older mice, with some overlap with genes previously reported to be involved with regulation of longevity or caloric restriction.
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Affiliation(s)
- Rahul Gokarn
- Charles Perkins Centre, University of Sydney, New South Wales, Australia.,Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, University of Sydney, New South Wales, Australia.,Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, University of Sydney, New South Wales, Australia.,Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - Devin Wahl
- Charles Perkins Centre, University of Sydney, New South Wales, Australia.,Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Aisling C McMahon
- Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - James R Mitchell
- Department of Genetics and Complex Diseases, Harvard School of Public Health, Boston, Massachusetts
| | - Sarah J Mitchell
- Department of Genetics and Complex Diseases, Harvard School of Public Health, Boston, Massachusetts
| | - Christopher Hine
- Department of Genetics and Complex Diseases, Harvard School of Public Health, Boston, Massachusetts
| | - Rafael de Cabo
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - David Raubenheimer
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, New South Wales, Australia.,Aging and Alzheimers Institute (AAAI), New South Wales, Australia.,Centre for Education and Research on Ageing (CERA), New South Wales, Australia.,ANZAC Research Institute, Concord Hospital, New South Wales, Australia
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19
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Montgomery MK, Osborne B, Brandon AE, O'Reilly L, Fiveash CE, Brown SHJ, Wilkins BP, Samsudeen A, Yu J, Devanapalli B, Hertzog A, Tolun AA, Kavanagh T, Cooper AA, Mitchell TW, Biden TJ, Smith NJ, Cooney GJ, Turner N. Regulation of mitochondrial metabolism in murine skeletal muscle by the medium-chain fatty acid receptor Gpr84. FASEB J 2019; 33:12264-12276. [PMID: 31415180 DOI: 10.1096/fj.201900234r] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Fatty acid receptors have been recognized as important players in glycaemic control. This study is the first to describe a role for the medium-chain fatty acid (MCFA) receptor G-protein-coupled receptor (Gpr) 84 in skeletal muscle mitochondrial function and insulin secretion. We are able to show that Gpr84 is highly expressed in skeletal muscle and adipose tissue. Mice with global deletion of Gpr84 [Gpr84 knockout (KO)] exhibit a mild impairment in glucose tolerance when fed a MCFA-enriched diet. Studies in mice and pancreatic islets suggest that glucose intolerance is accompanied by a defect in insulin secretion. MCFA-fed KO mice also exhibit a significant impairment in the intrinsic respiratory capacity of their skeletal muscle mitochondria, but at the same time also exhibit a substantial increase in mitochondrial content. Changes in canonical pathways of mitochondrial biogenesis and turnover are unable to explain these mitochondrial differences. Our results show that Gpr84 plays a crucial role in regulating mitochondrial function and quality control.-Montgomery, M. K., Osborne, B., Brandon, A. E., O'Reilly, L., Fiveash, C. E., Brown, S. H. J., Wilkins, B. P., Samsudeen, A., Yu, J., Devanapalli, B., Hertzog, A., Tolun, A. A., Kavanagh, T., Cooper, A. A., Mitchell, T. W., Biden, T. J., Smith, N. J., Cooney, G. J., Turner, N. Regulation of mitochondrial metabolism in murine skeletal muscle by the medium-chain fatty acid receptor Gpr84.
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Affiliation(s)
- Magdalene K Montgomery
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia.,Department of Physiology, School of Biomedical Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Brenna Osborne
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Liam O'Reilly
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Corrine E Fiveash
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Simon H J Brown
- School of Biological Sciences, University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Brendan P Wilkins
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia.,Division of Molecular Cardiology and Biophysics, Victor Chang Cardiac Research Institute, Sydney, New South Wales, Australia
| | - Azrah Samsudeen
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Josephine Yu
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Beena Devanapalli
- New South Wales (NSW) Biochemical Genetics Laboratory, Sydney Children's Hospital Network, Westmead, New South Wales, Australia
| | - Ashley Hertzog
- New South Wales (NSW) Biochemical Genetics Laboratory, Sydney Children's Hospital Network, Westmead, New South Wales, Australia
| | - Adviye A Tolun
- New South Wales (NSW) Biochemical Genetics Laboratory, Sydney Children's Hospital Network, Westmead, New South Wales, Australia.,Discipline of Genomic Medicine, and Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Discipline of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Tomas Kavanagh
- Neuroscience Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Antony A Cooper
- Neuroscience Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Todd W Mitchell
- Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia.,School of Medicine, University of Wollongong, Wollongong, New South Wales, Australia
| | - Trevor J Biden
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Nicola J Smith
- Division of Molecular Cardiology and Biophysics, Victor Chang Cardiac Research Institute, Sydney, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Sciences, University of New South Wales (UNSW) Sydney, Sydney, New South Wales, Australia
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20
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Johnson HM, Stanfield E, Campbell GJ, Eberl EE, Cooney GJ, Bell-Anderson KS. Glucose mediates insulin sensitivity via a hepatoportal mechanism in high-fat-fed rats. J Endocrinol 2019; 241:189-199. [PMID: 30939450 DOI: 10.1530/joe-18-0566] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 04/02/2019] [Indexed: 11/08/2022]
Abstract
Poor nutrition plays a fundamental role in the development of insulin resistance, an underlying characteristic of type 2 diabetes. We have previously shown that high-fat diet-induced insulin resistance in rats can be ameliorated by a single glucose meal, but the mechanisms for this observation remain unresolved. To determine if this phenomenon is mediated by gut or hepatoportal factors, male Wistar rats were fed a high-fat diet for 3 weeks before receiving one of five interventions: high-fat meal, glucose gavage, high-glucose meal, systemic glucose infusion or portal glucose infusion. Insulin sensitivity was assessed the following day in conscious animals by a hyperinsulinaemic-euglycaemic clamp. An oral glucose load consistently improved insulin sensitivity in high-fat-fed rats, establishing the reproducibility of this model. A systemic infusion of a glucose load did not affect insulin sensitivity, indicating that the physiological response to oral glucose was not due solely to increased glucose turnover or withdrawal of dietary lipid. A portal infusion of glucose produced the largest improvement in insulin sensitivity, implicating a role for the hepatoportal region rather than the gastrointestinal tract in mediating the effect of glucose to improve lipid-induced insulin resistance. These results further deepen our understanding of the mechanism of glucose-mediated regulation of insulin sensitivity and provide new insight into the role of nutrition in whole body metabolism.
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Affiliation(s)
- Holly M Johnson
- The University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
| | - Erin Stanfield
- The University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
| | - Grace J Campbell
- The University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
| | - Erica E Eberl
- The University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- The University of Sydney, Charles Perkins Centre, School of Medical Sciences, Sydney, New South Wales, Australia
| | - Kim S Bell-Anderson
- The University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
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21
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Solon-Biet SM, Cogger VC, Pulpitel T, Wahl D, Clark X, Bagley E, Gregoriou GC, Senior AM, Wang QP, Brandon AE, Perks R, O’Sullivan J, Koay YC, Bell-Anderson K, Kebede M, Yau B, Atkinson C, Svineng G, Dodgson T, Wali JA, Piper MDW, Juricic P, Partridge L, Rose AJ, Raubenheimer D, Cooney GJ, Le Couteur DG, Simpson SJ. Branched chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control. Nat Metab 2019; 1:532-545. [PMID: 31656947 PMCID: PMC6814438 DOI: 10.1038/s42255-019-0059-2] [Citation(s) in RCA: 166] [Impact Index Per Article: 33.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 03/22/2019] [Indexed: 12/11/2022]
Abstract
Elevated branched chain amino acids (BCAAs) are associated with obesity and insulin resistance. How long-term dietary BCAAs impact late-life health and lifespan is unknown. Here, we show that when dietary BCAAs are varied against a fixed, isocaloric macronutrient background, long-term exposure to high BCAA diets leads to hyperphagia, obesity and reduced lifespan. These effects are not due to elevated BCAA per se or hepatic mTOR activation, but rather due to a shift in the relative quantity of dietary BCAAs and other AAs, notably tryptophan and threonine. Increasing the ratio of BCAAs to these AAs resulted in hyperphagia and is associated with central serotonin depletion. Preventing hyperphagia by calorie restriction or pair-feeding averts the health costs of a high BCAA diet. Our data highlight a role for amino acid quality in energy balance and show that health costs of chronic high BCAA intakes need not be due to intrinsic toxicity but, rather, a consequence of hyperphagia driven by AA imbalance.
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Affiliation(s)
- Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
- ANZAC Research Institute, The University of Sydney NSW, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Devin Wahl
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
| | - Ximonie Clark
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Elena Bagley
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Gabrielle C Gregoriou
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Qiao-Ping Wang
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou 510275, China
| | - Amanda E Brandon
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Ruth Perks
- Charles Perkins Centre, The University of Sydney NSW, Australia
| | - John O’Sullivan
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Heart Research Institute, The University of Sydney, NSW, Australia
| | - Yen Chin Koay
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Heart Research Institute, The University of Sydney, NSW, Australia
| | - Kim Bell-Anderson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Melkam Kebede
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Belinda Yau
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Clare Atkinson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | | | - Timothy Dodgson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Jibran A Wali
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | | | - Paula Juricic
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | | | - Adam J Rose
- Monash Biomedicine Discovery Institute, Monash University VIC, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
- ANZAC Research Institute, The University of Sydney NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
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22
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Small L, Brandon AE, Parker BL, Deshpande V, Samsudeen AF, Kowalski GM, Reznick J, Wilks DL, Preston E, Bruce CR, James DE, Turner N, Cooney GJ. Reduced insulin action in muscle of high fat diet rats over the diurnal cycle is not associated with defective insulin signaling. Mol Metab 2019; 25:107-118. [PMID: 31029696 PMCID: PMC6600078 DOI: 10.1016/j.molmet.2019.04.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 04/04/2019] [Accepted: 04/08/2019] [Indexed: 12/02/2022] Open
Abstract
Objective Energy metabolism and insulin action follow a diurnal rhythm. It is therefore important that investigations into dysregulation of these pathways are relevant to the physiology of this diurnal rhythm. Methods We examined glucose uptake, markers of insulin action, and the phosphorylation of insulin signaling intermediates in muscle of chow and high fat, high sucrose (HFHS) diet-fed rats over the normal diurnal cycle. Results HFHS animals displayed hyperinsulinemia but had reduced systemic glucose disposal and lower muscle glucose uptake during the feeding period. Analysis of gene expression, enzyme activity, protein abundance and phosphorylation revealed a clear diurnal regulation of substrate oxidation pathways with no difference in Akt signaling in muscle. Transfection of a constitutively active Akt2 into the muscle of HFHS rats did not rescue diet-induced reductions in insulin-stimulated glucose uptake. Conclusions These studies suggest that reduced glucose uptake in muscle during the diurnal cycle induced by short-term HFHS-feeding is not the result of reduced insulin signaling. Investigating metabolism in rodents over the diurnal cycle more accurately models normal animal physiology. Diurnal regulation of substrate oxidation is altered in muscle of HFHS-fed rats. There is a disconnect between glucose uptake and canonical insulin signaling in muscle. Activation of Akt2 does not rescue diet-induced reductions in insulin-stimulated glucose uptake in muscle.
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Affiliation(s)
- Lewin Small
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia; The University of Sydney, School of Medical Science, Charles Perkins Centre D17, Sydney, NSW, Australia
| | - Benjamin L Parker
- The University of Sydney, School of Life and Environmental Science, Charles Perkins Centre D17, Sydney, NSW, Australia
| | - Vinita Deshpande
- The University of Sydney, School of Life and Environmental Science, Charles Perkins Centre D17, Sydney, NSW, Australia
| | - Azrah F Samsudeen
- Department of Pharmacology, School of Medical Science, University of New South Wales, Sydney, NSW, Australia
| | - Greg M Kowalski
- Deakin University, School of Exercise and Nutrition Sciences, Faculty of Health, Institute for Physical Activity and Nutrition, Geelong, Australia
| | - Jane Reznick
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Donna L Wilks
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Elaine Preston
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Clinton R Bruce
- Deakin University, School of Exercise and Nutrition Sciences, Faculty of Health, Institute for Physical Activity and Nutrition, Geelong, Australia
| | - David E James
- The University of Sydney, School of Life and Environmental Science, Charles Perkins Centre D17, Sydney, NSW, Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Science, University of New South Wales, Sydney, NSW, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, The Garvan Institute of Medical Research, Sydney, NSW, Australia; The University of Sydney, School of Medical Science, Charles Perkins Centre D17, Sydney, NSW, Australia.
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23
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Fazakerley DJ, Fritzen AM, Nelson ME, Thorius IH, Cooke KC, Humphrey SJ, Cooney GJ, James DE. Insulin Tolerance Test under Anaesthesia to Measure Tissue-specific Insulin-stimulated Glucose Disposal. Bio Protoc 2019; 9:e3146. [PMID: 33654891 DOI: 10.21769/bioprotoc.3146] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Revised: 12/16/2018] [Accepted: 12/24/2018] [Indexed: 12/18/2022] Open
Abstract
Insulin resistance is a pathophysiological state defined by impaired responses to insulin and is a risk factor for several metabolic diseases, most notably type 2 diabetes. Insulin resistance occurs in insulin target tissues including liver, adipose and skeletal muscle. Methods such as insulin tolerance tests and hyperinsulinaemic-euglycaemic clamps permit assessment of insulin responses in specific tissues and allow the study of the progression and causes of insulin resistance. Here we detail a protocol for assessing insulin action in adipose and muscle tissues in anesthetized mice administered with insulin intravenously.
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Affiliation(s)
- Daniel J Fazakerley
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Andreas M Fritzen
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen 2200, Denmark
| | - Marin E Nelson
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Ida H Thorius
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen 2200, Denmark
| | - Kristen C Cooke
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Sean J Humphrey
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, Sydney Medical School, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - David E James
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Charles Perkins Centre, Sydney Medical School, University of Sydney, Camperdown, New South Wales 2006, Australia
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24
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Brandon AE, Liao BM, Diakanastasis B, Parker BL, Raddatz K, McManus SA, O'Reilly L, Kimber E, van der Kraan AG, Hancock D, Henstridge DC, Meikle PJ, Cooney GJ, James DE, Reibe S, Febbraio MA, Biden TJ, Schmitz-Peiffer C. Protein Kinase C Epsilon Deletion in Adipose Tissue, but Not in Liver, Improves Glucose Tolerance. Cell Metab 2019; 29:183-191.e7. [PMID: 30318338 DOI: 10.1016/j.cmet.2018.09.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 07/16/2018] [Accepted: 09/12/2018] [Indexed: 02/02/2023]
Abstract
Protein kinase C epsilon (PKCɛ) activation in the liver is proposed to inhibit insulin action through phosphorylation of the insulin receptor. Here, however, we demonstrated that global, but not liver-specific, deletion of PKCɛ in mice protected against diet-induced glucose intolerance and insulin resistance. Furthermore, PKCɛ-dependent alterations in insulin receptor phosphorylation were not detected. Adipose-tissue-specific knockout mice did exhibit improved glucose tolerance, but phosphoproteomics revealed no PKCɛ-dependent effect on the activation of insulin signaling pathways. Altered phosphorylation of adipocyte proteins associated with cell junctions and endosomes was associated with changes in hepatic expression of several genes linked to glucose homeostasis and lipid metabolism. The primary effect of PKCɛ on glucose homeostasis is, therefore, not exerted directly in the liver as currently posited, and PKCɛ activation in this tissue should be interpreted with caution. However, PKCɛ activity in adipose tissue modulates glucose tolerance and is involved in crosstalk with the liver.
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Affiliation(s)
- Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Bing M Liao
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Barbara Diakanastasis
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Benjamin L Parker
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Katy Raddatz
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sophie A McManus
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Liam O'Reilly
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Erica Kimber
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | | | - Dale Hancock
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - David E James
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Saskia Reibe
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Mark A Febbraio
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia
| | - Trevor J Biden
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia
| | - Carsten Schmitz-Peiffer
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia.
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25
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Small L, Gong H, Yassmin C, Cooney GJ, Brandon AE. Thermoneutral housing does not influence fat mass or glucose homeostasis in C57BL/6 mice. J Endocrinol 2018; 239:313-324. [PMID: 30400016 DOI: 10.1530/joe-18-0279] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 09/05/2018] [Indexed: 12/15/2022]
Abstract
One major factor affecting physiology often overlooked when comparing data from animal models and humans is the effect of ambient temperature. The majority of rodent housing is maintained at ~22°C, the thermoneutral temperature for lightly clothed humans. However, mice have a much higher thermoneutral temperature of ~30°C, consequently data collected at 22°C in mice could be influenced by animals being exposed to a chronic cold stress. The aim of this study was to investigate the effect of housing temperature on glucose homeostasis and energy metabolism of mice fed normal chow or a high-fat, obesogenic diet (HFD). Male C57BL/6J(Arc) mice were housed at standard temperature (22°C) or at thermoneutrality (29°C) and fed either chow or a 60% HFD for 13 weeks. The HFD increased fat mass and produced glucose intolerance as expected but this was not exacerbated in mice housed at thermoneutrality. Changing the ambient temperature, however, did alter energy expenditure, food intake, lipid content and glucose metabolism in skeletal muscle, liver and brown adipose tissue. Collectively, these findings demonstrate that mice regulate energy balance at different housing temperatures to maintain whole-body glucose tolerance and adiposity irrespective of the diet. Despite this, metabolic differences in individual tissues were apparent. In conclusion, dietary intervention in mice has a greater impact on adiposity and glucose metabolism than housing temperature although temperature is still a significant factor in regulating metabolic parameters in individual tissues.
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Affiliation(s)
- Lewin Small
- Diabetes and Metabolism Division, Garvan Institute, Sydney, New South Wales, Australia
| | - Henry Gong
- The University of Sydney, School of Medical Sciences, Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Christian Yassmin
- The University of Sydney, School of Medical Sciences, Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute, Sydney, New South Wales, Australia
- The University of Sydney, School of Medical Sciences, Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute, Sydney, New South Wales, Australia
- The University of Sydney, School of Medical Sciences, Charles Perkins Centre, Sydney, New South Wales, Australia
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26
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Wahl D, Solon-Biet SM, Wang QP, Wali JA, Pulpitel T, Clark X, Raubenheimer D, Senior AM, Sinclair DA, Cooney GJ, de Cabo R, Cogger VC, Simpson SJ, Le Couteur DG. Comparing the Effects of Low-Protein and High-Carbohydrate Diets and Caloric Restriction on Brain Aging in Mice. Cell Rep 2018; 25:2234-2243.e6. [PMID: 30463018 PMCID: PMC6296764 DOI: 10.1016/j.celrep.2018.10.070] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 04/27/2018] [Accepted: 10/19/2018] [Indexed: 12/15/2022] Open
Abstract
Calorie restriction (CR) increases lifespan and improves brain health in mice. Ad libitum low-protein, high-carbohydrate (LPHC) diets also extend lifespan, but it is not known whether they are beneficial for brain health. We compared hippocampus biology and memory in mice subjected to 20% CR or provided ad libitum access to one of three LPHC diets or to a control diet. Patterns of RNA expression in the hippocampus of 15-month-old mice were similar between mice fed CR and LPHC diets when we looked at genes associated with longevity, cytokines, and dendrite morphogenesis. Nutrient-sensing proteins, including SIRT1, mTOR, and PGC1α, were also influenced by diet; however, the effects varied by sex. CR and LPHC diets were associated with increased dendritic spines in dentate gyrus neurons. Mice fed CR and LPHC diets had modest improvements in the Barnes maze and novel object recognition. LPHC diets recapitulate some of the benefits of CR on brain aging.
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Affiliation(s)
- Devin Wahl
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; Aging and Alzheimers Institute, ANZAC Research Institute, Centre for Education and Research on Ageing, Concord, NSW 2139, Australia
| | | | - Qiao-Ping Wang
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China
| | - Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Ximonie Clark
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia
| | - David A Sinclair
- Department of Genetics, Paul F. Glenn Center for the Biology of Aging, Harvard Medical School, Boston, MA 02115, USA; Department of Pharmacology, School of Medical Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Rafael de Cabo
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; Aging and Alzheimers Institute, ANZAC Research Institute, Centre for Education and Research on Ageing, Concord, NSW 2139, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; Aging and Alzheimers Institute, ANZAC Research Institute, Centre for Education and Research on Ageing, Concord, NSW 2139, Australia.
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27
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Bakshi I, Brown SHJ, Brandon AE, Suryana E, Mitchell TW, Turner N, Cooney GJ. Increasing Acyl CoA thioesterase activity alters phospholipid profile without effect on insulin action in skeletal muscle of rats. Sci Rep 2018; 8:13967. [PMID: 30228369 PMCID: PMC6143561 DOI: 10.1038/s41598-018-32354-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 05/18/2018] [Indexed: 12/25/2022] Open
Abstract
Increased lipid metabolism in muscle is associated with insulin resistance and therefore, many strategies have been employed to alter fatty acid metabolism and study the impact on insulin action. Metabolism of fatty acid requires activation to fatty acyl CoA by Acyl CoA synthases (ACSL) and fatty acyl CoA can be hydrolysed by Acyl CoA thioesterases (Acot). Thioesterase activity is low in muscle, so we overexpressed Acot7 in muscle of chow and high-fat diet (HFD) rats and investigated effects on insulin action. Acot7 overexpression modified specific phosphatidylcholine and phosphatidylethanolamine species in tibialis muscle of chow rats to levels similar to those observed in control HFD muscle. The changes in phospholipid species did not alter glucose uptake in tibialis muscle under hyperinsulinaemic/euglycaemic clamped conditions. Acot7 overexpression in white extensor digitorum longus (EDL) muscle increased complete fatty acid oxidation ex-vivo but was not associated with any changes in glucose uptake in-vivo, however overexpression of Acot7 in red EDL reduced insulin-stimulated glucose uptake in-vivo which correlated with increased incomplete fatty acid oxidation ex-vivo. In summary, although overexpression of Acot7 in muscle altered some aspects of lipid profile and metabolism in muscle, this had no major effect on insulin-stimulated glucose uptake.
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Affiliation(s)
- Ishita Bakshi
- Diabetes and Metabolism Division, Garvan Institute, Sydney, Australia
| | - Simon H J Brown
- School of Biological Sciences, University of Wollongong, Wollongong, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute, Sydney, Australia.,Sydney Medical School, Charles Perkins Centre, The University of Sydney, Sydney, Australia
| | - Eurwin Suryana
- Diabetes and Metabolism Division, Garvan Institute, Sydney, Australia
| | - Todd W Mitchell
- School of Biological Sciences, University of Wollongong, Wollongong, Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute, Sydney, Australia. .,Sydney Medical School, Charles Perkins Centre, The University of Sydney, Sydney, Australia.
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28
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Small L, Brandon AE, Quek LE, Krycer JR, James DE, Turner N, Cooney GJ. Acute activation of pyruvate dehydrogenase increases glucose oxidation in muscle without changing glucose uptake. Am J Physiol Endocrinol Metab 2018; 315:E258-E266. [PMID: 29406780 DOI: 10.1152/ajpendo.00386.2017] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Pyruvate dehydrogenase (PDH) activity is a key component of the glucose/fatty acid cycle hypothesis for the regulation of glucose uptake and metabolism. We have investigated whether acute activation of PDH in muscle can alleviate the insulin resistance caused by feeding animals a high-fat diet (HFD). The importance of PDH activity in muscle glucose disposal under insulin-stimulated conditions was determined by infusing the PDH kinase inhibitor dichloroacetate (DCA) into HFD-fed Wistar rats during a hyperinsulinemic-euglycemic clamp. Acute DCA infusion did not alter glucose infusion rate, glucose disappearance, or hepatic glucose production but did decrease plasma lactate levels. DCA substantially increased muscle PDH activity; however, this did not improve insulin-stimulated glucose uptake in insulin-resistant muscle of HFD rats. DCA infusion increased the flux of pyruvate to acetyl-CoA and reduced glucose incorporation into glycogen and alanine in muscle. Similarly, in isolated muscle, DCA treatment increased glucose oxidation and decreased glycogen synthesis without changing glucose uptake. These results suggest that, although PDH activity controls the conversion of pyruvate to acetyl-CoA for oxidation, this has little effect on glucose uptake into muscle under insulin-stimulated conditions.
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Affiliation(s)
- Lewin Small
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
- School of Medical Science, The University of Sydney, Charles Perkins Centre , New South Wales , Australia
| | - Lake-Ee Quek
- School of Mathematics and Statistics, The University of Sydney, Charles Perkins Centre , New South Wales , Australia
| | - James R Krycer
- School of Life and Environmental Science, The University of Sydney, Charles Perkins Centre , New South Wales , Australia
| | - David E James
- School of Life and Environmental Science, The University of Sydney, Charles Perkins Centre , New South Wales , Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Science, University of New South Wales , Sydney, New South Wales , Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
- School of Medical Science, The University of Sydney, Charles Perkins Centre , New South Wales , Australia
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29
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Krycer JR, Yugi K, Hirayama A, Fazakerley DJ, Quek LE, Scalzo R, Ohno S, Hodson MP, Ikeda S, Shoji F, Suzuki K, Domanova W, Parker BL, Nelson ME, Humphrey SJ, Turner N, Hoehn KL, Cooney GJ, Soga T, Kuroda S, James DE. Dynamic Metabolomics Reveals that Insulin Primes the Adipocyte for Glucose Metabolism. Cell Rep 2018; 21:3536-3547. [PMID: 29262332 DOI: 10.1016/j.celrep.2017.11.085] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 09/06/2017] [Accepted: 11/22/2017] [Indexed: 01/13/2023] Open
Abstract
Insulin triggers an extensive signaling cascade to coordinate adipocyte glucose metabolism. It is considered that the major role of insulin is to provide anabolic substrates by activating GLUT4-dependent glucose uptake. However, insulin stimulates phosphorylation of many metabolic proteins. To examine the implications of this on glucose metabolism, we performed dynamic tracer metabolomics in cultured adipocytes treated with insulin. Temporal analysis of metabolite concentrations and tracer labeling revealed rapid and distinct changes in glucose metabolism, favoring specific glycolytic branch points and pyruvate anaplerosis. Integrating dynamic metabolomics and phosphoproteomics data revealed that insulin-dependent phosphorylation of anabolic enzymes occurred prior to substrate accumulation. Indeed, glycogen synthesis was activated independently of glucose supply. We refer to this phenomenon as metabolic priming, whereby insulin signaling creates a demand-driven system to "pull" glucose into specific anabolic pathways. This complements the supply-driven regulation of anabolism by substrate accumulation and highlights an additional role for insulin action in adipocyte glucose metabolism.
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Affiliation(s)
- James R Krycer
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
| | - Katsuyuki Yugi
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan; YCI Laboratory for Trans-Omics, Young Chief Investigator Program, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan; PRESTO, Japan Science and Technology Agency, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, AMED, 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan
| | - Daniel J Fazakerley
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
| | - Lake-Ee Quek
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; School of Mathematics and Statistics, The University of Sydney, Sydney NSW 2006, Australia
| | - Richard Scalzo
- Centre for Translational Data Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Satoshi Ohno
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Mark P Hodson
- Metabolomics Australia Queensland Node, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD 4072, Australia; School of Pharmacy, Faculty of Health and Behavioural Sciences, University of Queensland, Brisbane, QLD 4072, Australia; Metabolomics Research Laboratory, Victor Chang Innovation Centre, Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia
| | - Satsuki Ikeda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Futaba Shoji
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Kumi Suzuki
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan
| | - Westa Domanova
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; School of Physics, University of Sydney, Sydney, NSW 2006, Australia
| | - Benjamin L Parker
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
| | - Marin E Nelson
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
| | - Sean J Humphrey
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
| | - Nigel Turner
- School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Kyle L Hoehn
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, AMED, 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan
| | - Shinya Kuroda
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan; CREST, Japan Science and Technology Agency, Bunkyo-ku, Tokyo 113-0033, Japan.
| | - David E James
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia.
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30
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Bentley NL, Fiveash CE, Osborne B, Quek LE, Ogura M, Inagaki N, Cooney GJ, Polly P, Montgomery MK, Turner N. Protein hypoacylation induced by Sirt5 overexpression has minimal metabolic effect in mice. Biochem Biophys Res Commun 2018; 503:1349-1355. [PMID: 30017194 DOI: 10.1016/j.bbrc.2018.07.047] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 07/10/2018] [Indexed: 12/27/2022]
Abstract
Sirtuins are a family of evolutionary conserved enzymes that dynamically regulate cellular physiology. Mammals have 7 sirtuins, which are located in different cellular compartments. Sirt5, a sirtuin isoform located in multiple subcellular sites, is involved in regulating a diverse range of cellular and metabolic processes through the removal of a range of acyl-lysine modifications on target proteins. Loss of Sirt5 leads to hyper-malonylation and hyper-succinylation of both mitochondrial and extra-mitochondrial proteins, influencing oxidative phosphorylation, the TCA cycle and glycolysis. However despite these findings, the effect of Sirt5 overexpression on metabolism remains poorly investigated. Here we report that overexpression of Sirt5 has minimal effect on mitochondrial metabolism and overall physiology in mice, despite inducing widespread decreases in protein acylation. Our data confirms the role of Sirt5 as an important demalonylase and desuccinylase enzyme in vivo, but questions the relevance of physiological changes in protein acylation levels in the regulation of cellular metabolism.
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Affiliation(s)
- Nicholas L Bentley
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Australia; Department of Pathology, School of Medical Sciences, UNSW Sydney, Australia
| | - Corrine E Fiveash
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Australia
| | - Brenna Osborne
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Australia
| | - Lake-Ee Quek
- School of Mathematics and Statistics, The University of Sydney, Sydney, Australia
| | - Masahito Ogura
- Department of Diabetes, Endocrinology and Nutrition, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology and Nutrition, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Gregory J Cooney
- Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Patsie Polly
- Department of Pathology, School of Medical Sciences, UNSW Sydney, Australia
| | | | - Nigel Turner
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Australia.
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31
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Bakshi I, Suryana E, Small L, Quek LE, Brandon AE, Turner N, Cooney GJ. Fructose bisphosphatase 2 overexpression increases glucose uptake in skeletal muscle. J Endocrinol 2018; 237:101-111. [PMID: 29507044 DOI: 10.1530/joe-17-0555] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 03/05/2018] [Indexed: 12/31/2022]
Abstract
Skeletal muscle is a major tissue for glucose metabolism and can store glucose as glycogen, convert glucose to lactate via glycolysis and fully oxidise glucose to CO2 Muscle has a limited capacity for gluconeogenesis but can convert lactate and alanine to glycogen. Gluconeogenesis requires FBP2, a muscle-specific form of fructose bisphosphatase that converts fructose-1,6-bisphosphate (F-1,6-bisP) to fructose-6-phosphate (F-6-P) opposing the activity of the ATP-consuming enzyme phosphofructokinase (PFK). In mammalian muscle, the activity of PFK is normally 100 times higher than FBP2 and therefore energy wasting cycling between PFK and FBP2 is low. In an attempt to increase substrate cycling between F-6-P and F-1,6-bisP and alter glucose metabolism, we overexpressed FBP2 using a muscle-specific adeno-associated virus (AAV-tMCK-FBP2). AAV was injected into the right tibialis muscle of rats, while the control contralateral left tibialis received a saline injection. Rats were fed a chow or 45% fat diet (HFD) for 5 weeks after which, hyperinsulinaemic-euglycaemic clamps were performed. Infection of the right tibialis with AAV-tMCK-FBP2 increased FBP2 activity 10 fold on average in chow and HFD rats (P < 0.0001). Overexpression of FBP2 significantly increased insulin-stimulated glucose uptake in tibialis of chow animals (control 14.3 ± 1.7; FBP2 17.6 ± 1.6 µmol/min/100 g) and HFD animals (control 9.6 ± 1.1; FBP2 11.2 ± 1.1µmol/min/100 g). The results suggest that increasing the capacity for cycling between F-1,6-bisP and F-6-P can increase the metabolism of glucose by introducing a futile cycle in muscle, but this increase is not sufficient to overcome muscle insulin resistance.
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Affiliation(s)
- Ishita Bakshi
- Diabetes and Metabolism DivisionGarvan Institute, Sydney, New South Wales, Australia
| | - Eurwin Suryana
- Diabetes and Metabolism DivisionGarvan Institute, Sydney, New South Wales, Australia
| | - Lewin Small
- Diabetes and Metabolism DivisionGarvan Institute, Sydney, New South Wales, Australia
| | - Lake-Ee Quek
- School of Mathematics and StatisticsUniversity of Sydney, Charles Perkins Centre, Sydney, New South Wales, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism DivisionGarvan Institute, Sydney, New South Wales, Australia
- Sydney Medical SchoolCharles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Nigel Turner
- Department of PharmacologySchool of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism DivisionGarvan Institute, Sydney, New South Wales, Australia
- Sydney Medical SchoolCharles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
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32
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Holt LJ, Brandon AE, Small L, Suryana E, Preston E, Wilks D, Mokbel N, Coles CA, White JD, Turner N, Daly RJ, Cooney GJ. Ablation of Grb10 Specifically in Muscle Impacts Muscle Size and Glucose Metabolism in Mice. Endocrinology 2018; 159:1339-1351. [PMID: 29370381 DOI: 10.1210/en.2017-00851] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 01/17/2018] [Indexed: 12/14/2022]
Abstract
Grb10 is an adaptor-type signaling protein most highly expressed in tissues involved in insulin action and glucose metabolism, such as muscle, pancreas, and adipose. Germline deletion of Grb10 in mice creates a phenotype with larger muscles and improved glucose homeostasis. However, it has not been determined whether Grb10 ablation specifically in muscle is sufficient to induce hypermuscularity or affect whole body glucose metabolism. In this study we generated muscle-specific Grb10-deficient mice (Grb10-mKO) by crossing Grb10flox/flox mice with mice expressing Cre recombinase under control of the human α-skeletal actin promoter. One-year-old Grb10-mKO mice had enlarged muscles, with greater cross-sectional area of fibers compared with wild-type (WT) mice. This degree of hypermuscularity did not affect whole body glucose homeostasis under basal conditions. However, hyperinsulinemic/euglycemic clamp studies revealed that Grb10-mKO mice had greater glucose uptake into muscles compared with WT mice. Insulin signaling was increased at the level of phospho-Akt in muscle of Grb10-mKO mice compared with WT mice, consistent with a role of Grb10 as a modulator of proximal insulin receptor signaling. We conclude that ablation of Grb10 in muscle is sufficient to affect muscle size and metabolism, supporting an important role for this protein in growth and metabolic pathways.
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Affiliation(s)
- Lowenna J Holt
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Lewin Small
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Eurwin Suryana
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Elaine Preston
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Donna Wilks
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Nancy Mokbel
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Chantal A Coles
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Jason D White
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Veterinary Biosciences, Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia
| | - Nigel Turner
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Department of Pharmacology, University of New South Wales, Sydney, New South Wales, Australia
| | - Roger J Daly
- Cancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
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33
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Small L, Brandon AE, Turner N, Cooney GJ. Modeling insulin resistance in rodents by alterations in diet: what have high-fat and high-calorie diets revealed? Am J Physiol Endocrinol Metab 2018; 314:E251-E265. [PMID: 29118016 DOI: 10.1152/ajpendo.00337.2017] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
For over half a century, researchers have been feeding different diets to rodents to examine the effects of macronutrients on whole body and tissue insulin action. During this period, the number of different diets and the source of macronutrients employed have grown dramatically. Because of the large heterogeneity in both the source and percentage of different macronutrients used for studies, it is not surprising that different high-calorie diets do not produce the same changes in insulin action. Despite this, diverse high-calorie diets continue to be employed in an attempt to generate a "generic" insulin resistance. The high-fat diet in particular varies greatly between studies with regard to the source, complexity, and ratio of dietary fat, carbohydrate, and protein. This review examines the range of rodent dietary models and methods for assessing insulin action. In almost all studies reviewed, rodents fed diets that had more than 45% of dietary energy as fat or simple carbohydrates had reduced whole body insulin action compared with chow. However, different high-calorie diets produced significantly different effects in liver, muscle, and whole body insulin action when insulin action was measured by the hyperinsulinemic-euglycemic clamp method. Rodent dietary models remain an important tool for exploring potential mechanisms of insulin resistance, but more attention needs to be given to the total macronutrient content and composition when interpreting dietary effects on insulin action.
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Affiliation(s)
- Lewin Small
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
| | - Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
- Sydney Medical School, Charles Perkins Centre, The University of Sydney , New South Wales , Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Science, University of New South Wales , Sydney, New South Wales , Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute , Sydney, New South Wales , Australia
- Sydney Medical School, Charles Perkins Centre, The University of Sydney , New South Wales , Australia
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34
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Burchfield JG, Kebede MA, Meoli CC, Stöckli J, Whitworth PT, Wright AL, Hoffman NJ, Minard AY, Ma X, Krycer JR, Nelson ME, Tan SX, Yau B, Thomas KC, Wee NKY, Khor EC, Enriquez RF, Vissel B, Biden TJ, Baldock PA, Hoehn KL, Cantley J, Cooney GJ, James DE, Fazakerley DJ. High dietary fat and sucrose results in an extensive and time-dependent deterioration in health of multiple physiological systems in mice. J Biol Chem 2018; 293:5731-5745. [PMID: 29440390 DOI: 10.1074/jbc.ra117.000808] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 02/12/2018] [Indexed: 01/17/2023] Open
Abstract
Obesity is associated with metabolic dysfunction, including insulin resistance and hyperinsulinemia, and with disorders such as cardiovascular disease, osteoporosis, and neurodegeneration. Typically, these pathologies are examined in discrete model systems and with limited temporal resolution, and whether these disorders co-occur is therefore unclear. To address this question, here we examined multiple physiological systems in male C57BL/6J mice following prolonged exposure to a high-fat/high-sucrose diet (HFHSD). HFHSD-fed mice rapidly exhibited metabolic alterations, including obesity, hyperleptinemia, physical inactivity, glucose intolerance, peripheral insulin resistance, fasting hyperglycemia, ectopic lipid deposition, and bone deterioration. Prolonged exposure to HFHSD resulted in morbid obesity, ectopic triglyceride deposition in liver and muscle, extensive bone loss, sarcopenia, hyperinsulinemia, and impaired short-term memory. Although many of these defects are typically associated with aging, HFHSD did not alter telomere length in white blood cells, indicating that this diet did not generally promote all aspects of aging. Strikingly, glucose homeostasis was highly dynamic. Glucose intolerance was evident in HFHSD-fed mice after 1 week and was maintained for 24 weeks. Beyond 24 weeks, however, glucose tolerance improved in HFHSD-fed mice, and by 60 weeks, it was indistinguishable from that of chow-fed mice. This improvement coincided with adaptive β-cell hyperplasia and hyperinsulinemia, without changes in insulin sensitivity in muscle or adipose tissue. Assessment of insulin secretion in isolated islets revealed that leptin, which inhibited insulin secretion in the chow-fed mice, potentiated glucose-stimulated insulin secretion in the HFHSD-fed mice after 60 weeks. Overall, the excessive calorie intake was accompanied by deteriorating function of numerous physiological systems.
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Affiliation(s)
- James G Burchfield
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Melkam A Kebede
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Christopher C Meoli
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Jacqueline Stöckli
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - P Tess Whitworth
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Amanda L Wright
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Nolan J Hoffman
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Annabel Y Minard
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Xiuquan Ma
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - James R Krycer
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Marin E Nelson
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Shi-Xiong Tan
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Belinda Yau
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Kristen C Thomas
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Natalie K Y Wee
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Ee-Cheng Khor
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Ronaldo F Enriquez
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Bryce Vissel
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Trevor J Biden
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Paul A Baldock
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Kyle L Hoehn
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - James Cantley
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
| | - Gregory J Cooney
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Charles Perkins Centre, Sydney Medical School, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - David E James
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia, .,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and.,Charles Perkins Centre, Sydney Medical School, University of Sydney, Camperdown, New South Wales 2006, Australia
| | - Daniel J Fazakerley
- From the Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales 2006, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales 2010, Australia, and
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35
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Montgomery MK, Brown SHJ, Mitchell TW, Coster ACF, Cooney GJ, Turner N. Association of muscle lipidomic profile with high-fat diet-induced insulin resistance across five mouse strains. Sci Rep 2017; 7:13914. [PMID: 29066734 PMCID: PMC5654831 DOI: 10.1038/s41598-017-14214-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 10/05/2017] [Indexed: 12/20/2022] Open
Abstract
Different mouse strains exhibit variation in their inherent propensities to develop metabolic disease. We recently showed that C57BL6, 129X1, DBA/2 and FVB/N mice are all susceptible to high-fat diet-induced glucose intolerance, while BALB/c mice are relatively protected, despite changes in many factors linked with insulin resistance. One parameter strongly linked with insulin resistance is ectopic lipid accumulation, especially metabolically active ceramides and diacylglycerols (DAG). This study examined diet-induced changes in the skeletal muscle lipidome across these five mouse strains. High-fat feeding increased total muscle triacylglycerol (TAG) content, with elevations in similar triacylglycerol species observed for all strains. There were also generally consistent changes across strains in the abundance of different phospholipid (PL) classes and the fatty acid profile of phospholipid molecular species, with the exception being a strain-specific difference in phospholipid species containing two polyunsaturated fatty acyl chains in BALB/c mice (i.e. a diet-induced decrease in the other four strains, but no change in BALB/c mice). In contrast to TAG and PL, the high-fat diet had a minor influence on DAG and ceramide species across all strains. These results suggest that widespread alterations in muscle lipids are unlikely a major contributors to the favourable metabolic profile of BALB/c mice and rather there is a relatively conserved high-fat diet response in muscle of most mouse strains.
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Affiliation(s)
- Magdalene K Montgomery
- Department of Pharmacology, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Diabetes & Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Simon H J Brown
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia
- llawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Todd W Mitchell
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia
- llawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Adelle C F Coster
- School of Mathematics and Statistics, University of New South Wales, Sydney, NSW, Australia
| | - Gregory J Cooney
- Diabetes & Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.
- Diabetes & Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
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36
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Gokarn R, Solon-Biet S, Youngson NA, Wahl D, Cogger VC, McMahon AC, Cooney GJ, Ballard JWO, Raubenheimer D, Morris MJ, Simpson SJ, Le Couteur DG. The Relationship Between Dietary Macronutrients and Hepatic Telomere Length in Aging Mice. J Gerontol A Biol Sci Med Sci 2017; 73:446-449. [DOI: 10.1093/gerona/glx186] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 09/28/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Rahul Gokarn
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Samantha Solon-Biet
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Neil A Youngson
- School of Medical Sciences, The University of New South Wales, Kensington, Australia
| | - Devin Wahl
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Aisling C McMahon
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - J William O Ballard
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - David Raubenheimer
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - Margaret J Morris
- School of Medical Sciences, The University of New South Wales, Kensington, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, New South Wales, Australia
- Aging and Alzheimers Institute (AAAI), Centre for Education and Research on Ageing (CERA), and ANZAC Research Institute, Concord Hospital, New South Wales, Australia
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37
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Stöckli J, Fisher-Wellman KH, Chaudhuri R, Zeng XY, Fazakerley DJ, Meoli CC, Thomas KC, Hoffman NJ, Mangiafico SP, Xirouchaki CE, Yang CH, Ilkayeva O, Wong K, Cooney GJ, Andrikopoulos S, Muoio DM, James DE. Metabolomic analysis of insulin resistance across different mouse strains and diets. J Biol Chem 2017; 292:19135-19145. [PMID: 28982973 DOI: 10.1074/jbc.m117.818351] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Indexed: 01/16/2023] Open
Abstract
Insulin resistance is a major risk factor for many diseases. However, its underlying mechanism remains unclear in part because it is triggered by a complex relationship between multiple factors, including genes and the environment. Here, we used metabolomics combined with computational methods to identify factors that classified insulin resistance across individual mice derived from three different mouse strains fed two different diets. Three inbred ILSXISS strains were fed high-fat or chow diets and subjected to metabolic phenotyping and metabolomics analysis of skeletal muscle. There was significant metabolic heterogeneity between strains, diets, and individual animals. Distinct metabolites were changed with insulin resistance, diet, and between strains. Computational analysis revealed 113 metabolites that were correlated with metabolic phenotypes. Using these 113 metabolites, combined with machine learning to segregate mice based on insulin sensitivity, we identified C22:1-CoA, C2-carnitine, and C16-ceramide as the best classifiers. Strikingly, when these three metabolites were combined into one signature, they classified mice based on insulin sensitivity more accurately than each metabolite on its own or other published metabolic signatures. Furthermore, C22:1-CoA was 2.3-fold higher in insulin-resistant mice and correlated significantly with insulin resistance. We have identified a metabolomic signature composed of three functionally unrelated metabolites that accurately predicts whole-body insulin sensitivity across three mouse strains. These data indicate the power of simultaneous analysis of individual, genetic, and environmental variance in mice for identifying novel factors that accurately predict metabolic phenotypes like whole-body insulin sensitivity.
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Affiliation(s)
- Jacqueline Stöckli
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | - Kelsey H Fisher-Wellman
- the Garvan Institute of Medical Research, Sydney NSW 2010, Australia.,the Duke Molecular Physiology Institute, Duke University, Durham, North Carolina 27708
| | - Rima Chaudhuri
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | - Xiao-Yi Zeng
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | - Daniel J Fazakerley
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | | | - Kristen C Thomas
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | - Nolan J Hoffman
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia
| | | | | | - Chieh-Hsin Yang
- the Department of Medicine, University of Melbourne, Melbourne VIC 3010, Australia, and
| | - Olga Ilkayeva
- the Duke Molecular Physiology Institute, Duke University, Durham, North Carolina 27708
| | - Kari Wong
- the Duke Molecular Physiology Institute, Duke University, Durham, North Carolina 27708
| | - Gregory J Cooney
- the Sydney Medical School, the University of Sydney, Sydney NSW 2006, Australia
| | | | - Deborah M Muoio
- the Duke Molecular Physiology Institute, Duke University, Durham, North Carolina 27708
| | - David E James
- From the Charles Perkins Centre, School of Life and Environmental Sciences, the University of Sydney, Sydney NSW 2006, Australia, .,the Sydney Medical School, the University of Sydney, Sydney NSW 2006, Australia
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38
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Simpson SJ, Le Couteur DG, Raubenheimer D, Solon-Biet SM, Cooney GJ, Cogger VC, Fontana L. Dietary protein, aging and nutritional geometry. Ageing Res Rev 2017; 39:78-86. [PMID: 28274839 DOI: 10.1016/j.arr.2017.03.001] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Revised: 03/01/2017] [Accepted: 03/03/2017] [Indexed: 11/29/2022]
Abstract
Nearly a century of research has shown that nutritional interventions can delay aging and age- related diseases in many animal models and possibly humans. The most robust and widely studied intervention is caloric restriction, while protein restriction and restriction of various amino acids (methionine, tryptophan) have also been shown to delay aging. However, there is still debate over whether the major impact on aging is secondary to caloric intake, protein intake or specific amino acids. Nutritional geometry provides new perspectives on the relationship between nutrition and aging by focusing on calories, macronutrients and their interactions across a landscape of diets, and taking into account compensatory feeding in ad libitum-fed experiments. Nutritional geometry is a state-space modelling approach that explores how animals respond to and balance changes in nutrient availability. Such studies in insects and mice have shown that low protein, high carbohydrate diets are associated with longest lifespan in ad libitum fed animals suggesting that the interaction between macronutrients may be as important as their total intake.
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Affiliation(s)
- Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney 2006, Australia.
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, 2006, Australia; Ageing and Alzheimers Institute, ANZAC Research Institute, Concord Clinical School/Sydney Medical School, Concord, 2139, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney 2006, Australia
| | | | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, 2006, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney, Sydney, 2006, Australia; Ageing and Alzheimers Institute, ANZAC Research Institute, Concord Clinical School/Sydney Medical School, Concord, 2139, Australia
| | - Luigi Fontana
- Division of Geriatrics and Nutritional Sciences, Washington University, St. Louis, MO 63130, USA; Department of Clinical and Experimental Sciences, University of Brescia Medical School, 25121 Brescia, Italy; CEINGE Biotecnologie Avanzate, 80145 Napoli, Italy
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39
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Nagarajan SR, Brandon AE, McKenna JA, Shtein HC, Nguyen TQ, Suryana E, Poronnik P, Cooney GJ, Saunders DN, Hoy AJ. Correction: Insulin and diet-induced changes in the ubiquitin-modified proteome of rat liver. PLoS One 2017; 12:e0184610. [PMID: 28886158 PMCID: PMC5590999 DOI: 10.1371/journal.pone.0184610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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40
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Wang D, Opperhuizen AL, Reznick J, Turner N, Su Y, Cooney GJ, Kalsbeek A. Effects of feeding time on daily rhythms of neuropeptide and clock gene expression in the rat hypothalamus. Brain Res 2017; 1671:93-101. [DOI: 10.1016/j.brainres.2017.07.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 06/09/2017] [Accepted: 07/10/2017] [Indexed: 01/18/2023]
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41
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Nagarajan SR, Brandon AE, McKenna JA, Shtein HC, Nguyen TQ, Suryana E, Poronnik P, Cooney GJ, Saunders DN, Hoy AJ. Insulin and diet-induced changes in the ubiquitin-modified proteome of rat liver. PLoS One 2017; 12:e0174431. [PMID: 28329008 PMCID: PMC5362237 DOI: 10.1371/journal.pone.0174431] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/08/2017] [Indexed: 12/14/2022] Open
Abstract
Ubiquitin is a crucial post-translational modification regulating numerous cellular processes, but its role in metabolic disease is not well characterized. In this study, we identified the in vivo ubiquitin-modified proteome in rat liver and determined changes in this ubiquitome under acute insulin stimulation and high-fat and sucrose diet-induced insulin resistance. We identified 1267 ubiquitinated proteins in rat liver across diet and insulin-stimulated conditions, with 882 proteins common to all conditions. KEGG pathway analysis of these proteins identified enrichment of metabolic pathways, TCA cycle, glycolysis/gluconeogenesis, fatty acid metabolism, and carbon metabolism, with similar pathways altered by diet and insulin resistance. Thus, the rat liver ubiquitome is sensitive to diet and insulin stimulation and this is perturbed in insulin resistance.
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Affiliation(s)
- Shilpa R. Nagarajan
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Amanda E. Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Jessie A. McKenna
- Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Harrison C. Shtein
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Thinh Q. Nguyen
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Eurwin Suryana
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Philip Poronnik
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Gregory J. Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Darren N. Saunders
- Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- * E-mail: (AJH); (DNS)
| | - Andrew J. Hoy
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
- * E-mail: (AJH); (DNS)
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42
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Minard AY, Wong MKL, Chaudhuri R, Tan SX, Humphrey SJ, Parker BL, Yang JY, Laybutt DR, Cooney GJ, Coster ACF, Stöckli J, James DE. Hyperactivation of the Insulin Signaling Pathway Improves Intracellular Proteostasis by Coordinately Up-regulating the Proteostatic Machinery in Adipocytes. J Biol Chem 2016; 291:25629-25640. [PMID: 27738101 DOI: 10.1074/jbc.m116.741140] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 10/11/2016] [Indexed: 01/25/2023] Open
Abstract
Hyperinsulinemia, which is associated with aging and metabolic disease, may lead to defective protein homeostasis (proteostasis) due to hyperactivation of insulin-sensitive pathways such as protein synthesis. We investigated the effect of chronic hyperinsulinemia on proteostasis by generating a time-resolved map of insulin-regulated protein turnover in adipocytes using metabolic pulse-chase labeling and high resolution mass spectrometry. Hyperinsulinemia increased the synthesis of nearly half of all detected proteins and did not affect protein degradation despite suppressing autophagy. Unexpectedly, this marked elevation in protein synthesis was accompanied by enhanced protein stability and folding and not by markers of proteostasis stress such as protein carbonylation and aggregation. The improvement in proteostasis was attributed to a coordinate up-regulation of proteins in the global proteostasis network, including ribosomal, proteasomal, chaperone, and endoplasmic reticulum/mitochondrial unfolded protein response proteins. We conclude that defects associated with hyperactivation of the insulin signaling pathway are unlikely attributed to defective proteostasis because up-regulation of protein synthesis by insulin is accompanied by up-regulation of proteostatic machinery.
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Affiliation(s)
- Annabel Y Minard
- From The Garvan Institute of Medical Research, Sydney, New South Wales 2010, Australia.,Charles Perkins Centre, School of Life Environmental Sciences
| | - Martin K L Wong
- From The Garvan Institute of Medical Research, Sydney, New South Wales 2010, Australia.,Charles Perkins Centre, School of Life Environmental Sciences.,School of Physics
| | - Rima Chaudhuri
- Charles Perkins Centre, School of Life Environmental Sciences
| | - Shi-Xiong Tan
- From The Garvan Institute of Medical Research, Sydney, New South Wales 2010, Australia
| | - Sean J Humphrey
- Charles Perkins Centre, School of Life Environmental Sciences
| | | | | | - D Ross Laybutt
- From The Garvan Institute of Medical Research, Sydney, New South Wales 2010, Australia
| | | | - Adelle C F Coster
- Department of Applied Mathematics, School of Mathematics and Statistics, University of New South Wales, Sydney, New South Wales 2052, Australia
| | | | - David E James
- Charles Perkins Centre, School of Life Environmental Sciences, .,School of Medicine, University of Sydney, Sydney, New South Wales 2006, Australia, and
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Montgomery MK, Brown SHJ, Lim XY, Fiveash CE, Osborne B, Bentley NL, Braude JP, Mitchell TW, Coster ACF, Don AS, Cooney GJ, Schmitz-Peiffer C, Turner N. Regulation of glucose homeostasis and insulin action by ceramide acyl-chain length: A beneficial role for very long-chain sphingolipid species. Biochim Biophys Acta Mol Cell Biol Lipids 2016; 1861:1828-1839. [PMID: 27591968 DOI: 10.1016/j.bbalip.2016.08.016] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 08/18/2016] [Accepted: 08/29/2016] [Indexed: 12/13/2022]
Abstract
In a recent study, we showed that in response to high fat feeding C57BL/6, 129X1, DBA/2 and FVB/N mice all developed glucose intolerance, while BALB/c mice displayed minimal deterioration in glucose tolerance and insulin action. Lipidomic analysis of livers across these five strains has revealed marked strain-specific differences in ceramide (Cer) and sphingomyelin (SM) species with high-fat feeding; with increases in C16-C22 (long-chain) and reductions in C>22 (very long-chain) Cer and SM species observed in the four strains that developed HFD-induced glucose intolerance. Intriguingly, the opposite pattern was observed in sphingolipid species in BALB/c mice. These strain-specific changes in sphingolipid acylation closely correlated with ceramide synthase 2 (CerS2) protein content and activity, with reduced CerS2 levels/activity observed in glucose intolerant strains and increased content in BALB/c mice. Overexpression of CerS2 in primary mouse hepatocytes induced a specific elevation in very long-chain Cer, but despite the overall increase in ceramide abundance, there was a substantial improvement in insulin signal transduction, as well as decreased ER stress and gluconeogenic markers. Overall our findings suggest that very long-chain sphingolipid species exhibit a protective role against the development of glucose intolerance and hepatic insulin resistance.
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Affiliation(s)
- Magdalene K Montgomery
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia
| | - Simon H J Brown
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia; Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Xin Y Lim
- Prince of Wales Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Corrine E Fiveash
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia
| | - Brenna Osborne
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia
| | - Nicholas L Bentley
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia
| | - Jeremy P Braude
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia
| | - Todd W Mitchell
- School of Medicine, University of Wollongong, Wollongong, NSW, Australia; Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Adelle C F Coster
- School of Mathematics and Statistics, UNSW Australia, Sydney, NSW, Australia
| | - Anthony S Don
- Prince of Wales Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Gregory J Cooney
- Diabetes & Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Carsten Schmitz-Peiffer
- Diabetes & Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Nigel Turner
- Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia.
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Kee AJ, Yang L, Lucas CA, Greenberg MJ, Martel N, Leong GM, Hughes WE, Cooney GJ, James DE, Ostap EM, Han W, Gunning PW, Hardeman EC. An Actin Filament Population Defined by the Tropomyosin Tpm3.1 Regulates Glucose Uptake. Traffic 2016; 17:80-1. [PMID: 26688443 DOI: 10.1111/tra.12342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Anthony J Kee
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Lingyan Yang
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Christine A Lucas
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Michael J Greenberg
- The Pennsylvania Muscle Institute and Department of Physiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104-6085, USA
| | - Nick Martel
- Obesity Research Centre, Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Gary M Leong
- Obesity Research Centre, Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia.,Department of Paediatric Endocrinology and Diabetes, Mater Children's Hospital, South Brisbane, QLD 4010, Australia
| | - William E Hughes
- Diabetes and Obesity Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Gregory J Cooney
- Diabetes and Obesity Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - David E James
- Charles Perkins Centre, School of Molecular Bioscience, University of Sydney, Sydney, NSW 2006, Australia
| | - E Michael Ostap
- The Pennsylvania Muscle Institute and Department of Physiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104-6085, USA
| | - Weiping Han
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, 138667, Singapore
| | - Peter W Gunning
- Oncology Research Unit, School of Medical Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Edna C Hardeman
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Australia, Sydney, NSW 2052, Australia
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45
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Brandon AE, Stuart E, Leslie SJ, Hoehn KL, James DE, Kraegen EW, Turner N, Cooney GJ. Minimal impact of age and housing temperature on the metabolic phenotype of Acc2-/- mice. J Endocrinol 2016; 228:127-34. [PMID: 26668208 PMCID: PMC4906541 DOI: 10.1530/joe-15-0444] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/14/2015] [Indexed: 12/13/2022]
Abstract
An important regulator of fatty acid oxidation (FAO) is the allosteric inhibition of CPT-1 by malonyl-CoA produced by the enzyme acetyl-CoA carboxylase 2 (ACC2). Initial studies suggested that deletion of Acc2 (Acacb) increased fat oxidation and reduced adipose tissue mass but in an independently generated strain of Acc2 knockout mice we observed increased whole-body and skeletal muscle FAO and a compensatory increase in muscle glycogen stores without changes in glucose tolerance, energy expenditure or fat mass in young mice (12-16 weeks). The aim of the present study was to determine whether there was any effect of age or housing at thermoneutrality (29 °C; which reduces total energy expenditure) on the phenotype of Acc2 knockout mice. At 42-54 weeks of age, male WT and Acc2(-/-) mice had similar body weight, fat mass, muscle triglyceride content and glucose tolerance. Consistent with younger Acc2(-/-) mice, aged Acc2(-/-) mice showed increased whole-body FAO (24 h average respiratory exchange ratio=0.95±0.02 and 0.92±0.02 for WT and Acc2(-/-) mice respectively, P<0.05) and skeletal muscle glycogen content (+60%, P<0.05) without any detectable change in whole-body energy expenditure. Hyperinsulinaemic-euglycaemic clamp studies revealed no difference in insulin action between groups with similar glucose infusion rates and tissue glucose uptake. Housing Acc2(-/-) mice at 29 °C did not alter body composition, glucose tolerance or the effects of fat feeding compared with WT mice. These results confirm that manipulation of Acc2 may alter FAO in mice, but this has little impact on body composition or insulin action.
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Affiliation(s)
- Amanda E Brandon
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ella Stuart
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Simon J Leslie
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Kyle L Hoehn
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - David E James
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Edward W Kraegen
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nigel Turner
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia Diabetes and Metabolism DivisionGarvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, New South Wales 2010, AustraliaSt Vincent's Clinical SchoolUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Medical SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Biotechnology and Biomolecular SciencesUniversity of New South Wales Australia, Sydney, New South Wales, AustraliaSchool of Molecular Bioscience and Sydney Medical SchoolCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
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46
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Kee AJ, Yang L, Lucas CA, Greenberg MJ, Martel N, Leong GM, Hughes WE, Cooney GJ, James DE, Ostap EM, Han W, Gunning PW, Hardeman EC. An actin filament population defined by the tropomyosin Tpm3.1 regulates glucose uptake. Traffic 2015; 16:691-711. [PMID: 25783006 PMCID: PMC4945106 DOI: 10.1111/tra.12282] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2014] [Revised: 03/10/2015] [Accepted: 03/11/2015] [Indexed: 12/21/2022]
Abstract
Actin has an ill-defined role in the trafficking of GLUT4 glucose transporter vesicles to the plasma membrane (PM). We have identified novel actin filaments defined by the tropomyosin Tpm3.1 at glucose uptake sites in white adipose tissue (WAT) and skeletal muscle. In Tpm 3.1-overexpressing mice, insulin-stimulated glucose uptake was increased; while Tpm3.1-null mice they were more sensitive to the impact of high-fat diet on glucose uptake. Inhibition of Tpm3.1 function in 3T3-L1 adipocytes abrogates insulin-stimulated GLUT4 translocation and glucose uptake. In WAT, the amount of filamentous actin is determined by Tpm3.1 levels and is paralleled by changes in exocyst component (sec8) and Myo1c levels. In adipocytes, Tpm3.1 localizes with MyoIIA, but not Myo1c, and it inhibits Myo1c binding to actin. We propose that Tpm3.1 determines the amount of cortical actin that can engage MyoIIA and generate contractile force, and in parallel limits the interaction of Myo1c with actin filaments. The balance between these actin filament populations may determine the efficiency of movement and/or fusion of GLUT4 vesicles with the PM.
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Affiliation(s)
- Anthony J. Kee
- Cellular and Genetic Medicine UnitSchool of Medical Sciences, UNSW AustraliaSydneyNSW2052Australia
| | - Lingyan Yang
- Cellular and Genetic Medicine UnitSchool of Medical Sciences, UNSW AustraliaSydneyNSW2052Australia
| | - Christine A. Lucas
- Cellular and Genetic Medicine UnitSchool of Medical Sciences, UNSW AustraliaSydneyNSW2052Australia
| | - Michael J. Greenberg
- The Pennsylvania Muscle Institute and Department of PhysiologyPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA19104‐6085USA
| | - Nick Martel
- Obesity Research Centre, Institute for Molecular BioscienceThe University of QueenslandSt LuciaQLD4072Australia
| | - Gary M. Leong
- Obesity Research Centre, Institute for Molecular BioscienceThe University of QueenslandSt LuciaQLD4072Australia
- Department of Paediatric Endocrinology and DiabetesMater Children's HospitalSouth BrisbaneQLD4010Australia
| | - William E. Hughes
- Diabetes and Obesity ProgramGarvan Institute of Medical ResearchSydneyNSW2010Australia
| | - Gregory J. Cooney
- Diabetes and Obesity ProgramGarvan Institute of Medical ResearchSydneyNSW2010Australia
| | - David E. James
- Charles Perkins Centre, School of Molecular BioscienceUniversity of SydneySydneyNSW2006Australia
| | - E. Michael Ostap
- The Pennsylvania Muscle Institute and Department of PhysiologyPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA19104‐6085USA
| | - Weiping Han
- Singapore Bioimaging ConsortiumAgency for Science, Technology and Research (A*STAR)Singapore138667Singapore
| | - Peter W. Gunning
- Oncology Research UnitSchool of Medical Sciences, UNSW AustraliaSydneyNSW2052Australia
| | - Edna C. Hardeman
- Cellular and Genetic Medicine UnitSchool of Medical Sciences, UNSW AustraliaSydneyNSW2052Australia
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Hocking SL, Stewart RL, Brandon AE, Suryana E, Stuart E, Baldwin EM, Kolumam GA, Modrusan Z, Junutula JR, Gunton JE, Medynskyj M, Blaber SP, Karsten E, Herbert BR, James DE, Cooney GJ, Swarbrick MM. Subcutaneous fat transplantation alleviates diet-induced glucose intolerance and inflammation in mice. Diabetologia 2015; 58:1587-600. [PMID: 25899451 DOI: 10.1007/s00125-015-3583-y] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 03/13/2015] [Indexed: 12/26/2022]
Abstract
AIMS/HYPOTHESIS Adipose tissue (AT) distribution is a major determinant of mortality and morbidity in obesity. In mice, intra-abdominal transplantation of subcutaneous AT (SAT) protects against glucose intolerance and insulin resistance (IR), but the underlying mechanisms are not well understood. METHODS We investigated changes in adipokines, tissue-specific glucose uptake, gene expression and systemic inflammation in male C57BL6/J mice implanted intra-abdominally with either inguinal SAT or epididymal visceral AT (VAT) and fed a high-fat diet (HFD) for up to 17 weeks. RESULTS Glucose tolerance was improved in mice receiving SAT after 6 weeks, and this was not attributable to differences in adiposity, tissue-specific glucose uptake, or plasma leptin or adiponectin concentrations. Instead, SAT transplantation prevented HFD-induced hepatic triacylglycerol accumulation and normalised the expression of hepatic gluconeogenic enzymes. Grafted fat displayed a significant increase in glucose uptake and unexpectedly, an induction of skeletal muscle-specific gene expression. Mice receiving subcutaneous fat also displayed a marked reduction in the plasma concentrations of several proinflammatory cytokines (TNF-α, IL-17, IL-12p70, monocyte chemoattractant protein-1 [MCP-1] and macrophage inflammatory protein-1β [ΜIP-1β]), compared with sham-operated mice. Plasma IL-17 and MIP-1β concentrations were reduced from as early as 4 weeks after transplantation, and differences in plasma TNF-α and IL-17 concentrations predicted glucose tolerance and insulinaemia in the entire cohort of mice (n = 40). In contrast, mice receiving visceral fat transplants were glucose intolerant, with increased hepatic triacylglycerol content and elevated plasma IL-6 concentrations. CONCLUSIONS/INTERPRETATION Intra-abdominal transplantation of subcutaneous fat reverses HFD-induced glucose intolerance, hepatic triacylglycerol accumulation and systemic inflammation in mice.
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Affiliation(s)
- Samantha L Hocking
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, 2010, Sydney, NSW, Australia
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Stöckli J, Meoli CC, Hoffman NJ, Fazakerley DJ, Pant H, Cleasby ME, Ma X, Kleinert M, Brandon AE, Lopez JA, Cooney GJ, James DE. The RabGAP TBC1D1 plays a central role in exercise-regulated glucose metabolism in skeletal muscle. Diabetes 2015; 64:1914-22. [PMID: 25576050 DOI: 10.2337/db13-1489] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Accepted: 12/24/2014] [Indexed: 11/13/2022]
Abstract
Insulin and exercise stimulate glucose uptake into skeletal muscle via different pathways. Both stimuli converge on the translocation of the glucose transporter GLUT4 from intracellular vesicles to the cell surface. Two Rab guanosine triphosphatases-activating proteins (GAPs) have been implicated in this process: AS160 for insulin stimulation and its homolog, TBC1D1, are suggested to regulate exercise-mediated glucose uptake into muscle. TBC1D1 has also been implicated in obesity in humans and mice. We investigated the role of TBC1D1 in glucose metabolism by generating TBC1D1(-/-) mice and analyzing body weight, insulin action, and exercise. TBC1D1(-/-) mice showed normal glucose and insulin tolerance, with no difference in body weight compared with wild-type littermates. GLUT4 protein levels were reduced by ∼40% in white TBC1D1(-/-) muscle, and TBC1D1(-/-) mice showed impaired exercise endurance together with impaired exercise-mediated 2-deoxyglucose uptake into white but not red muscles. These findings indicate that the RabGAP TBC1D1 plays a key role in regulating GLUT4 protein levels and in exercise-mediated glucose uptake in nonoxidative muscle fibers.
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Affiliation(s)
- Jacqueline Stöckli
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia Garvan Institute of Medical Research, Sydney, New South Wales, Australia St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Christopher C Meoli
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Nolan J Hoffman
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Daniel J Fazakerley
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Himani Pant
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Mark E Cleasby
- The Royal Veterinary College, University of London, London, U.K
| | - Xiuquan Ma
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Maximilian Kleinert
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia Molecular Physiology Group, Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen, Denmark
| | - Amanda E Brandon
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Jamie A Lopez
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Gregory J Cooney
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - David E James
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia School of Molecular Bioscience, University of Sydney, Sydney, New South Wales, Australia Garvan Institute of Medical Research, Sydney, New South Wales, Australia School of Medicine, University of Sydney, Sydney, New South Wales, Australia
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49
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Coughlan KA, Balon TW, Valentine RJ, Petrocelli R, Schultz V, Brandon A, Cooney GJ, Kraegen EW, Ruderman NB, Saha AK. Nutrient Excess and AMPK Downregulation in Incubated Skeletal Muscle and Muscle of Glucose Infused Rats. PLoS One 2015; 10:e0127388. [PMID: 25996822 PMCID: PMC4440828 DOI: 10.1371/journal.pone.0127388] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Accepted: 04/15/2015] [Indexed: 11/18/2022] Open
Abstract
We have previously shown that incubation for 1h with excess glucose or leucine causes insulin resistance in rat extensor digitorum longus (EDL) muscle by inhibiting AMP-activated protein kinase (AMPK). To examine the events that precede and follow these changes, studies were performed in rat EDL incubated with elevated levels of glucose or leucine for 30min-2h. Incubation in high glucose (25mM) or leucine (100μM) significantly diminished AMPK activity by 50% within 30min, with further decreases occurring at 1 and 2h. The initial decrease in activity at 30min coincided with a significant increase in muscle glycogen. The subsequent decreases at 1h were accompanied by phosphorylation of αAMPK at Ser485/491, and at 2h by decreased SIRT1 expression and increased PP2A activity, all of which have previously been shown to diminish AMPK activity. Glucose infusion in vivo, which caused several fold increases in plasma glucose and insulin, produced similar changes but with different timing. Thus, the initial decrease in AMPK activity observed at 3h was associated with changes in Ser485/491 phosphorylation and SIRT1 expression and increased PP2A activity was a later event. These findings suggest that both ex vivo and in vivo, multiple factors contribute to fuel-induced decreases in AMPK activity in skeletal muscle and the insulin resistance that accompanies it.
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Affiliation(s)
- Kimberly A. Coughlan
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Thomas W. Balon
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Rudy J. Valentine
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Robert Petrocelli
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Vera Schultz
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Amanda Brandon
- Diabetes and Obesity Program, Garvan Institute of Medical Research and School of Medical Sciences, University of NSW, Sydney, Australia
| | - Gregory J. Cooney
- Diabetes and Obesity Program, Garvan Institute of Medical Research and School of Medical Sciences, University of NSW, Sydney, Australia
| | - Edward W. Kraegen
- Diabetes and Obesity Program, Garvan Institute of Medical Research and School of Medical Sciences, University of NSW, Sydney, Australia
| | - Neil B. Ruderman
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Asish K. Saha
- Department of Medicine, Section of Endocrinology and Diabetes, Boston University Medical Center, Boston, Massachusetts, United States of America
- * E-mail:
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Brandon AE, Tid-Ang J, Wright LE, Stuart E, Suryana E, Bentley N, Turner N, Cooney GJ, Ruderman NB, Kraegen EW. Overexpression of SIRT1 in rat skeletal muscle does not alter glucose induced insulin resistance. PLoS One 2015; 10:e0121959. [PMID: 25798922 PMCID: PMC4370576 DOI: 10.1371/journal.pone.0121959] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2014] [Accepted: 02/10/2015] [Indexed: 12/17/2022] Open
Abstract
SIRT1 is a NAD+-dependent deacetylase thought to regulate cellular metabolic pathways in response to alterations in nutrient flux. In the current study we investigated whether acute changes in SIRT1 expression affect markers of muscle mitochondrial content and also determined whether SIRT1 influenced muscle insulin resistance induced by acute glucose oversupply. In male Wistar rats either SIRT1 or a deacetylase inactive mutant form (H363Y) was electroprated into the tibialis cranialis (TC) muscle. The other leg was electroporated with an empty control vector. One week later, glucose was infused and hyperglycaemia was maintained at ~11mM. After 5 hours, 11mM glucose induced significant insulin resistance in skeletal muscle. Interestingly, overexpression of either SIRT1 or SIRT1 (H363Y) for 1 week did not change markers of mitochondrial content or function. SIRT1 or SIRT1 (H363Y) overexpression had no effect on the reduction in glucose uptake and glycogen synthesis in muscle in response to hyperglycemia. Therefore we conclude that acute increases in SIRT1 protein have little impact on mitochondrial content and that overexpressing SIRT1 does not prevent the development of insulin resistance during hyperglycaemia.
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Affiliation(s)
- Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia
| | - Jennifer Tid-Ang
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia
| | - Lauren E Wright
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia
| | - Ella Stuart
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia
| | - Eurwin Suryana
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia
| | | | - Nigel Turner
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia; UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia; UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Neil B Ruderman
- Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Edward W Kraegen
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW, 2010, Australia; UNSW Medicine, University of New South Wales, Sydney, Australia
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