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Crean AJ, Pulpitel TJ, Pini T, Rickard JP, de Graaf SP, Senior AM, Simpson SJ, Wali JA. Low-Fat, High-Carbohydrate Diets Reduce Body Weight and Sperm Count but Increase Sperm Motility in Mice. J Nutr 2024; 154:60-68. [PMID: 37984745 DOI: 10.1016/j.tjnut.2023.11.016] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/19/2023] [Accepted: 11/08/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Male reproduction is impacted by both over- and under-nutrition, demonstrated by animal studies using high-fat and low-protein dietary interventions. Little is known about the impacts of low-fat, high-carb diets and types of dietary carbohydrates on sperm traits. OBJECTIVES Using a nutritional geometry approach, we investigated the effects of partially or completely substituting glucose for fructose in isocaloric diets containing either 10%, 20%, or 30% fat (by energy) on sperm traits in mice. METHODS Male C57BL/6J mice were fed 1 of 15 experimental diets for 18 wk starting from 8 wk of age. Reproductive organs were then harvested, and sperm concentration, motility, and velocity were measured using Computer-Assisted Sperm Analysis. RESULTS Increasing dietary fat from 10% to 30% while maintaining energy density at 14.3 kJ/g and protein content at 20% resulted in increased body weight and sperm production but reduced the percentage of motile sperm. Body weight and seminal vesicle weight were maximized on diets containing a 50:50 mix of fructose and glucose, but carbohydrate type had few significant impacts on epididymal sperm traits. CONCLUSIONS The opposing impacts of dietary fat on mouse sperm quantity and quality observed suggest that male fertility may not be optimized by a single diet; rather, context-specific dietary guidelines targeted to specific concerns in semen quality may prove useful in treating male infertility.
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Affiliation(s)
- Angela J Crean
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia.
| | - Tamara J Pulpitel
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
| | - Taylor Pini
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Queensland, School of Veterinary Science, Queensland, Australia
| | - Jessica P Rickard
- The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
| | - Simon P de Graaf
- The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
| | - Alistair M Senior
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
| | - Stephen J Simpson
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
| | - Jibran A Wali
- The University of Sydney, Charles Perkins Centre, New South Wales, Australia; The University of Sydney, School of Life and Environmental Sciences, New South Wales, Australia
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2
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Wali JA, Ni D, Facey HJW, Dodgson T, Pulpitel TJ, Senior AM, Raubenheimer D, Macia L, Simpson SJ. Determining the metabolic effects of dietary fat, sugars and fat-sugar interaction using nutritional geometry in a dietary challenge study with male mice. Nat Commun 2023; 14:4409. [PMID: 37479702 PMCID: PMC10362033 DOI: 10.1038/s41467-023-40039-w] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 07/10/2023] [Indexed: 07/23/2023] Open
Abstract
The metabolic effects of sugars and fat lie at the heart of the "carbohydrate vs fat" debate on the global obesity epidemic. Here, we use nutritional geometry to systematically investigate the interaction between dietary fat and the major monosaccharides, fructose and glucose, and their impact on body composition and metabolic health. Male mice (n = 245) are maintained on one of 18 isocaloric diets for 18-19 weeks and their metabolic status is assessed through in vivo procedures and by in vitro assays involving harvested tissue samples. We find that in the setting of low and medium dietary fat content, a 50:50 mixture of fructose and glucose (similar to high-fructose corn syrup) is more obesogenic and metabolically adverse than when either monosaccharide is consumed alone. With increasing dietary fat content, the effects of dietary sugar composition on metabolic status become less pronounced. Moreover, higher fat intake is more harmful for glucose tolerance and insulin sensitivity irrespective of the sugar mix consumed. The type of fat consumed (soy oil vs lard) does not modify these outcomes. Our work shows that both dietary fat and sugars can lead to adverse metabolic outcomes, depending on the dietary context. This study shows how the principles of the two seemingly conflicting models of obesity (the "energy balance model" and the "carbohydrate insulin model") can be valid, and it will help in progressing towards a unified model of obesity. The main limitations of this study include the use of male mice of a single strain, and not testing the metabolic effects of fructose intake via sugary drinks, which are strongly linked to human obesity.
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Affiliation(s)
- Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
| | - Duan Ni
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, Chronic Diseases Theme, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Harrison J W Facey
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Tim Dodgson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Tamara J Pulpitel
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
- Sydney Precision Data Science Centre, The University of Sydney, Sydney, NSW, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Laurence Macia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, Chronic Diseases Theme, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Sydney Cytometry, The University of Sydney, Sydney, NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
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Choowong P, Wali JA, Nguyen ATM, Jayasinghe TN, Eberhard J. Macronutrient-induced modulation of periodontitis in rodents-a systematic review. Nutr Rev 2021; 80:1160-1178. [PMID: 34459490 DOI: 10.1093/nutrit/nuab048] [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] [Indexed: 11/13/2022] Open
Abstract
CONTEXT Consumption of dietary macronutrients is associated with the progression of a wide range of inflammatory diseases, either by direct modulation of host immune response or via microbiome. This includes periodontitis, a disease affecting tooth-supporting tissues. OBJECTIVE The aim of this work was to systematically review studies focusing on the effect of macronutrient (ie, carbohydrate, protein, fat) intake on periodontitis in rodents. DATA SOURCES Electronic searches were performed in February 2021 using the PubMed and Web of Science databases. Out of 883 articles reviewed, 23 studies were selected for additional analysis. DATA EXTRACTION Investigators extracted relevant data, including author names; the year of publication; article title; macronutrient composition; number and species of animals and their age at the start of the experiment; intervention period; method of periodontitis induction; and primary and secondary periodontitis outcomes. Quality assessment was done using the risk-of-bias tool for animal studies. After completing the data extraction, descriptive statistical information was obtained. DATA ANALYSIS High intakes of dietary cholesterol, saturated fatty acids, and processed carbohydrates such as sucrose, and protein-deficient diets were positively associated with periodontitis in rodents. This included greater amounts of alveolar bone loss, more lesions on periodontal tissues, and dental plaque accumulation. In contrast, high doses of milk basic protein in diets and diets with a high ratio of ω-3 to ω-6 fatty acids were negatively associated with periodontitis in rodents. CONCLUSION This work highlights the fact that, despite the large body of evidence linking macronutrients with inflammation and ageing, overall there is little information on how dietary nutrients affect periodontitis in animal models. In addition, there is inconsistency in data due to differences in methodology, outcome measurement, and dietary formulation. More studies are needed to examine the effects of different dietary macronutrients on periodontitis and investigate the underlying biological mechanisms.
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Affiliation(s)
- Phannaphat Choowong
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jibran A Wali
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia
| | - Anh Thi Mai Nguyen
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Thilini N Jayasinghe
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Joerg Eberhard
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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4
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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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5
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Wali JA, Solon-Biet SM, Freire T, Brandon AE. Macronutrient Determinants of Obesity, Insulin Resistance and Metabolic Health. Biology (Basel) 2021; 10:336. [PMID: 33923531 PMCID: PMC8072595 DOI: 10.3390/biology10040336] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/07/2021] [Indexed: 01/18/2023]
Abstract
Obesity caused by the overconsumption of calories has increased to epidemic proportions. Insulin resistance is often associated with an increased adiposity and is a precipitating factor in the development of cardiovascular disease, type 2 diabetes, and altered metabolic health. Of the various factors contributing to metabolic impairments, nutrition is the major modifiable factor that can be targeted to counter the rising prevalence of obesity and metabolic diseases. However, the macronutrient composition of a nutritionally balanced "healthy diet" are unclear, and so far, no tested dietary intervention has been successful in achieving long-term compliance and reductions in body weight and associated beneficial health outcomes. In the current review, we briefly describe the role of the three major macronutrients, carbohydrates, fats, and proteins, and their role in metabolic health, and provide mechanistic insights. We also discuss how an integrated multi-dimensional approach to nutritional science could help in reconciling apparently conflicting findings.
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Affiliation(s)
- Jibran A. Wali
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; (J.A.W.); (S.M.S.-B.); (T.F.)
- School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Samantha M. Solon-Biet
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; (J.A.W.); (S.M.S.-B.); (T.F.)
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Therese Freire
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; (J.A.W.); (S.M.S.-B.); (T.F.)
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Amanda E. Brandon
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; (J.A.W.); (S.M.S.-B.); (T.F.)
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
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Koay YC, Chen YC, Wali JA, Luk AWS, Li M, Doma H, Reimark R, Zaldivia MTK, Habtom HT, Franks AE, Fusco-Allison G, Yang J, Holmes A, Simpson SJ, Peter K, O’Sullivan JF. Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability. Cardiovasc Res 2021; 117:435-449. [PMID: 32267921 PMCID: PMC8599768 DOI: 10.1093/cvr/cvaa094] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 02/12/2020] [Accepted: 04/02/2020] [Indexed: 12/14/2022] Open
Abstract
AIMS The microbiome-derived metabolite trimethylamine-N-oxide (TMAO) has attracted major interest and controversy both as a diagnostic biomarker and therapeutic target in atherothrombosis. METHODS AND RESULTS Plasma TMAO increased in mice on 'unhealthy' high-choline diets and notably also on 'healthy' high-fibre diets. Interestingly, TMAO was found to be generated by direct oxidation in the gut in addition to oxidation by hepatic flavin-monooxygenases. Unexpectedly, two well-accepted mouse models of atherosclerosis, ApoE-/- and Ldlr-/- mice, which reflect the development of stable atherosclerosis, showed no association of TMAO with the extent of atherosclerosis. This finding was validated in the Framingham Heart Study showing no correlation between plasma TMAO and coronary artery calcium score or carotid intima-media thickness (IMT), as measures of atherosclerosis in human subjects. However, in the tandem-stenosis mouse model, which reflects plaque instability as typically seen in patients, TMAO levels correlated with several characteristics of plaque instability, such as markers of inflammation, platelet activation, and intraplaque haemorrhage. CONCLUSIONS Dietary-induced changes in the microbiome, of both 'healthy' and 'unhealthy' diets, can cause an increase in the plasma level of TMAO. The gut itself is a site of significant oxidative production of TMAO. Most importantly, our findings reconcile contradictory data on TMAO. There was no direct association of plasma TMAO and the extent of atherosclerosis, both in mice and humans. However, using a mouse model of plaque instability we demonstrated an association of TMAO plasma levels with atherosclerotic plaque instability. The latter confirms TMAO as being a marker of cardiovascular risk.
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Affiliation(s)
- Yen Chin Koay
- Heart Research Institute, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Central Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Yung-Chih Chen
- Baker Heart & Diabetes Institute, Melbourne, VIC, Australia
| | - Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Alison W S Luk
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Mengbo Li
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia
| | - Hemavarni Doma
- Baker Heart & Diabetes Institute, Melbourne, VIC, Australia
| | - Rosa Reimark
- Baker Heart & Diabetes Institute, Melbourne, VIC, Australia
| | | | - Habteab T Habtom
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Melbourne, VIC, Australia
- Centre for Future Landscapes, La Trobe University, Melbourne, VIC, Australia
| | - Ashley E Franks
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Melbourne, VIC, Australia
- Centre for Future Landscapes, La Trobe University, Melbourne, VIC, Australia
| | - Gabrielle Fusco-Allison
- Heart Research Institute, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Central Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Jean Yang
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia
| | - Andrew Holmes
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | | | - John F O’Sullivan
- Heart Research Institute, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Central Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
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7
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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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8
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Wali JA, Koay YC, Chami J, Wood C, Corcilius L, Payne RJ, Rodionov RN, Birkenfeld AL, Samocha-Bonet D, Simpson SJ, O'Sullivan JF. Nutritional and metabolic regulation of the metabolite dimethylguanidino valeric acid: an early marker of cardiometabolic disease. Am J Physiol Endocrinol Metab 2020; 319:E509-E518. [PMID: 32663097 PMCID: PMC7509244 DOI: 10.1152/ajpendo.00207.2020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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] [Indexed: 02/08/2023]
Abstract
Dimethylguanidino valeric acid (DMGV) is a marker of fatty liver disease, incident coronary artery disease, cardiovascular mortality, and incident diabetes. Recently, it was reported that circulating DMGV levels correlated positively with consumption of sugary beverages and negatively with intake of fruits and vegetables in three Swedish community-based cohorts. Here, we validate these results in the Framingham Heart Study Third Generation Cohort. Furthermore, in mice, diets rich in sucrose or fat significantly increased plasma DMGV concentrations. DMGV is the product of metabolism of asymmetric dimethylarginine (ADMA) by the hepatic enzyme AGXT2. ADMA can also be metabolized to citrulline by the cytoplasmic enzyme DDAH1. We report that a high-sucrose diet induced conversion of ADMA exclusively into DMGV (supporting the relationship with sugary beverage intake in humans), while a high-fat diet promoted conversion of ADMA to both DMGV and citrulline. On the contrary, replacing dietary native starch with high-fiber-resistant starch increased ADMA concentrations and induced its conversion to citrulline, without altering DMGV concentrations. In a cohort of obese nondiabetic adults, circulating DMGV concentrations increased and ADMA levels decreased in those with either liver or muscle insulin resistance. This was similar to changes in DMGV and ADMA concentrations found in mice fed a high-sucrose diet. Sucrose is a disaccharide of glucose and fructose. Compared with glucose, incubation of hepatocytes with fructose significantly increased DMGV production. Overall, we provide a comprehensive picture of the dietary determinants of DMGV levels and association with insulin resistance.
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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
| | - Yen Chin Koay
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medicine, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Jason Chami
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medicine, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Courtney Wood
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medicine, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Leo Corcilius
- School of Chemistry, The University of Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Richard J Payne
- School of Chemistry, The University of Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Roman N Rodionov
- University Center for Vascular Medicine and Department of Medicine III-Section Angiology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Andreas L Birkenfeld
- Department of Internal Medicine, Division of Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
- German Centre for Diabetes Research (DZD), Tübingen, Tübingen, Germany
| | - Dorit Samocha-Bonet
- The Garvan Institute of Medical Research, University of New South Wales, 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
| | - John F O'Sullivan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medicine, 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
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9
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Wali JA, Raubenheimer D, Senior AM, Le Couteur DG, Simpson SJ. Cardio-metabolic consequences of dietary carbohydrates: reconciling contradictions using nutritional geometry. Cardiovasc Res 2020; 117:386-401. [PMID: 32386289 DOI: 10.1093/cvr/cvaa136] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/27/2020] [Accepted: 05/02/2020] [Indexed: 02/07/2023] Open
Abstract
Carbohydrates are the major source of dietary energy, but their role in health and disease remains controversial. Recent epidemiological evidence suggests that the increased consumption of carbohydrates is associated with obesity and increased risk of mortality and dietary trials show that carbohydrate restriction leads to weight loss and improved glycaemic status in obese and diabetic subjects. In contrast, the diets of populations with long and healthy lifespans (e.g. traditional Okinawans from Japan) are high in carbohydrate and low in protein, and several clinical and preclinical studies have linked low-carbohydrate-high-protein diets with increased mortality risk. In this paper we attempt to reconcile these contradictory findings by moving beyond traditional single-nutrient analyses to consider the interactions between nutrients on health outcomes. We do so using the Geometric Framework (GF), a nutritional modelling platform that explicitly considers the main and interactive effects of multiple nutrients on phenotypic characteristics. Analysis of human data by GF shows that weight loss and improved cardio-metabolic outcomes under carbohydrate restriction derive at least in part from reduced caloric intake due to the concomitantly increased proportion of protein in the diet. This is because, as in many animals, a specific appetite for protein is a major driver of food intake in humans. Conversely, dilution of protein in the diet leverages excess food intake through compensatory feeding for protein ('protein leverage'). When protein is diluted in the diet by readily digestible carbohydrates and fats, as is the case in modern ultra-processed foods, protein leverage results in excess calorie intake, leading to rising levels of obesity and metabolic disease. However, when protein is diluted in the diet by increased quantities of less readily digestible forms of carbohydrate and fibre, energy balance is maintained and health benefits accrue, especially during middle age and early late-life. We argue that other controversies in carbohydrate research can be resolved using the GF methodology in dietary studies.
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Affiliation(s)
- Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.,ANZAC Research Institute, The University of Sydney, Concord, Sydney, New South Wales 2139, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia
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10
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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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11
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Koay YC, Wali JA, Luk AWS, Macia L, Cogger VC, Pulpitel TJ, Wahl D, Solon-Biet SM, Holmes A, Simpson SJ, O'Sullivan JF. Ingestion of resistant starch by mice markedly increases microbiome-derived metabolites. FASEB J 2019; 33:8033-8042. [PMID: 30925066 DOI: 10.1096/fj.201900177r] [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: 12/13/2022]
Abstract
Recent research has shown significant health benefits deriving from high-dietary fiber or microbiome-accessible carbohydrate consumption. Compared with native starch (NS), dietary resistant starch (RS) is a high microbiome-accessible carbohydrate that significantly alters the gut microbiome. The aim of this study was to determine the systemic metabolic effects of high microbiome-accessible carbohydrate. Male C57BL/6 mice were divided into 2 groups and fed either NS or RS for 18 wk (n = 20/group). Metabolomic analyses revealed that plasma levels of numerous metabolites were significantly different between the RS-fed and NS-fed mice, many of which are microbiome-derived. Most strikingly, we observed a 22-fold increase in gut microbiome-derived tryptophan metabolite indole-3-propionate (IPA), which was positively correlated with several gut microbiota, including Allobaculum, Bifidobacterium, and Lachnospiraceae, with Allobaculum having the most consistently increased abundance of all the IPA-associated taxa across all RS-fed mice. In addition, major changes were observed for metabolites solely or primarily metabolized in the gut (e.g., trimethylamine-N-oxide), metabolites that have a significant entero-hepatic circulation (i.e., bile acids), lipid metabolites (e.g., cholesterol sulfate), metabolites indicating increased energy turnover (e.g., tricarboxylic acid cycle intermediates and ketone bodies), and increased antioxidants such as reduced glutathione. Our findings reveal potentially novel mediators of high microbiome-accessible carbohydrate-derived health benefits.-Koay,Y. C., Wali. J. A., Luk, A. W. S., Macia, L., Cogger, V. C., Pulpitel, T. J., Wahl, D., Solon-Biet, S. M., Holmes, A., Simpson, S. J., O'Sullivan, J. F. Ingestion of resistant starch by mice markedly increases microbiome-derived metabolites.
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Affiliation(s)
- 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.,Faculty of Medicine, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - 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
| | - 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
| | - Laurence Macia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.,Ageing and Alzheimer's Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord, 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
| | - Devin Wahl
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine, Sydney Medical School, 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.,Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, 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
| | - 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
| | - 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.,Faculty of Medicine, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
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12
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Morimoto J, Senior A, Ruiz K, Wali JA, Pulpitel T, Solon-Biet SM, Cogger VC, Raubenheimer D, Le Couteur DG, Simpson SJ, Eberhard J. Sucrose and starch intake contribute to reduced alveolar bone height in a rodent model of naturally occurring periodontitis. PLoS One 2019; 14:e0212796. [PMID: 30865648 PMCID: PMC6415785 DOI: 10.1371/journal.pone.0212796] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 10/18/2018] [Accepted: 02/08/2019] [Indexed: 12/01/2022] Open
Abstract
While there is a burgeoning interest in the effects of nutrition on systemic inflammatory diseases, how dietary macronutrient balance impacts local chronic inflammatory diseases in the mouth has been largely overlooked. Here, we used the Geometric Framework for Nutrition to test how the amounts of dietary macronutrients and their interactions, as well as carbohydrate type (starch vs sucrose vs resistant starch) influenced periodontitis-associated alveolar bone height in mice. Increasing intake of carbohydrates reduced alveolar bone height, while dietary protein had no effect. Whether carbohydrate came from sugar or starch did not influence the extent of alveolar bone height. In summary, the amount of carbohydrate in the diet modulated periodontitis-associated alveolar bone height independent of the source of carbohydrates.
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Affiliation(s)
- Juliano Morimoto
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- Programa de Pós-Graduação em Ecologia e Conservação, Federal University of Paraná, Curitiba, Brazil
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Alistair Senior
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Mathematics and Statistics, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - Kate Ruiz
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney Dental School, Faculty of Health and Medicine, The University of Sydney, Sydney, New South Wales, Australia
| | - Jibran A. Wali
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - Samantha M. Solon-Biet
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - Victoria C. Cogger
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- Centre for Education and Research on Ageing, Concord, New South Wales, Australia
- Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - David G. Le Couteur
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- Centre for Education and Research on Ageing, Concord, New South Wales, Australia
- Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Stephen J. Simpson
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, New South Wales, Australia
| | - Joerg Eberhard
- Charles Perkins Centre, Camperdown, New South Wales, Australia
- The University of Sydney Dental School, Faculty of Health and Medicine, The University of Sydney, Sydney, New South Wales, Australia
- * E-mail:
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13
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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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14
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Solon-Biet SM, Cogger VC, Pulpitel T, Heblinski M, Wahl D, McMahon AC, Warren A, Durrant-Whyte J, Walters KA, Krycer JR, Ponton F, Gokarn R, Wali JA, Ruohonen K, Conigrave AD, James DE, Raubenheimer D, Morrison CD, Le Couteur DG, Simpson SJ. Defining the Nutritional and Metabolic Context of FGF21 Using the Geometric Framework. Cell Metab 2016; 24:555-565. [PMID: 27693377 DOI: 10.1016/j.cmet.2016.09.001] [Citation(s) in RCA: 150] [Impact Index Per Article: 18.8] [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: 12/10/2015] [Revised: 06/30/2016] [Accepted: 08/31/2016] [Indexed: 12/11/2022]
Abstract
Fibroblast growth factor 21 (FGF21) is the first known endocrine signal activated by protein restriction. Although FGF21 is robustly elevated in low-protein environments, increased FGF21 is also seen in various other contexts such as fasting, overfeeding, ketogenic diets, and high-carbohydrate diets, leaving its nutritional context and physiological role unresolved and controversial. Here, we use the Geometric Framework, a nutritional modeling platform, to help reconcile these apparently conflicting findings in mice confined to one of 25 diets that varied in protein, carbohydrate, and fat content. We show that FGF21 was elevated under low protein intakes and maximally when low protein was coupled with high carbohydrate intakes. Our results explain how elevation of FGF21 occurs both under starvation and hyperphagia, and show that the metabolic outcomes associated with elevated FGF21 depend on the nutritional context, differing according to whether the animal is in a state of under- or overfeeding.
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Affiliation(s)
- Samantha M Solon-Biet
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia; Faculty of Medicine, University of Sydney, Sydney 2006, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia
| | - Marika Heblinski
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia
| | - Devin Wahl
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia
| | - Aisling C McMahon
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia
| | - Alessandra Warren
- Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia
| | | | - Kirsty A Walters
- ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia; School of Women's and Children's Health, Discipline of Obstetrics and Gynaecology, University of New South Wales, Sydney 2052, Australia
| | - James R Krycer
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia
| | - Fleur Ponton
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Department of Biological Sciences, Macquarie University, Sydney NSW 2109, Australia
| | - Rahul Gokarn
- Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia
| | - Jibran A Wali
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia
| | | | - Arthur D Conigrave
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Faculty of Medicine, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia
| | - David E James
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia; Sydney Medical School, University of Sydney, Sydney 2006, Australia
| | - David Raubenheimer
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Faculty of Veterinary Science, University of Sydney, Sydney 2006, Australia
| | | | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; Ageing and Alzheimers Institute, Centre for Education and Research on Ageing, ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney 2139, Australia; Faculty of Medicine, University of Sydney, Sydney 2006, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia.
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15
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Krishnamurthy B, Chee J, Jhala G, Trivedi P, Catterall T, Selck C, Gurzov EN, Brodnicki TC, Graham KL, Wali JA, Zhan Y, Gray D, Strasser A, Allison J, Thomas HE, Kay TWH. BIM Deficiency Protects NOD Mice From Diabetes by Diverting Thymocytes to Regulatory T Cells. Diabetes 2015; 64:3229-38. [PMID: 25948683 DOI: 10.2337/db14-1851] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [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: 12/03/2014] [Accepted: 04/15/2015] [Indexed: 11/13/2022]
Abstract
Because regulatory T-cell (Treg) development can be induced by the same agonist self-antigens that induce negative selection, perturbation of apoptosis will affect both negative selection and Treg development. But how the processes of thymocyte deletion versus Treg differentiation bifurcate and their relative importance for tolerance have not been studied in spontaneous organ-specific autoimmune disease. We addressed these questions by removing a critical mediator of thymocyte deletion, BIM, in the NOD mouse model of autoimmune diabetes. Despite substantial defects in the deletion of autoreactive thymocytes, BIM-deficient NOD (NODBim(-/-)) mice developed less insulitis and were protected from diabetes. BIM deficiency did not impair effector T-cell function; however, NODBim(-/-) mice had increased numbers of Tregs, including those specific for proinsulin, in the thymus and peripheral lymphoid tissues. Increased levels of Nur77, CD5, GITR, and phosphorylated IκB-α in thymocytes from NODBim(-/-) mice suggest that autoreactive cells receiving strong T-cell receptor signals that would normally delete them escape apoptosis and are diverted into the Treg pathway. Paradoxically, in the NOD model, reduced thymic deletion ameliorates autoimmune diabetes by increasing Tregs. Thus, modulating apoptosis may be one of the ways to increase antigen-specific Tregs and prevent autoimmune disease.
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Affiliation(s)
- Balasubramanian Krishnamurthy
- St. Vincent's Institute, Fitzroy, Australia Department of Medicine, The University of Melbourne, St. Vincent's Hospital, Fitzroy, Australia
| | | | | | | | | | | | | | | | | | | | - Yifan Zhan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Daniel Gray
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Andreas Strasser
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia Department of Medical Biology, The University of Melbourne, Melbourne, Australia
| | | | - Helen E Thomas
- St. Vincent's Institute, Fitzroy, Australia Department of Medicine, The University of Melbourne, St. Vincent's Hospital, Fitzroy, Australia
| | - Thomas W H Kay
- St. Vincent's Institute, Fitzroy, Australia Department of Medicine, The University of Melbourne, St. Vincent's Hospital, Fitzroy, Australia
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16
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Affiliation(s)
- Jibran A Wali
- St Vincent's Institute, Fitzroy, Victoria, 3065, Australia
| | - Helen E Thomas
- St Vincent's Institute, Fitzroy, Victoria, 3065, Australia
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17
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Abstract
Apoptosis of pancreatic beta cells is a feature of type 1 and type 2 diabetes, although by different effector mechanisms. In type 1 diabetes, beta cells are the targets of cytotoxic CD8(+) T cells that kill by releasing the contents of their cytotoxic granules into the immunological synapse with the target beta cell. In type 2 diabetes, the mechanisms of beta cell apoptosis are less clear, but believed to be due to cellular stresses including endoplasmic reticulum stress and oxidative stress induced by chronic exposure to high concentrations of glucose, lipids, inflammatory cytokines, or islet amyloid polypeptide. Measuring apoptosis in primary islets can be more difficult than in a beta cell line because islets exist as a cluster of cells and it is often difficult to obtain sufficient cells for any particular type of assay. Here, we describe two different methods for measuring islet cell apoptosis. The first method is the measurement of DNA fragmentation, a hallmark of apoptosis, of islets that have been cultured with reagents that induce stress. The second method is the measurement of islet lysis by activated cytotoxic T cells. We describe methods using mouse islets, but these can easily be adapted for human islets.
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Affiliation(s)
- Jibran A Wali
- St Vincent's Institute of Medical Research, 41 Victoria Parade, Fitzroy, VIC, 3065, Australia
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18
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Litwak SA, Wali JA, Pappas EG, Saadi H, Stanley WJ, Varanasi LC, Kay TWH, Thomas HE, Gurzov EN. Lipotoxic Stress Induces Pancreatic β-Cell Apoptosis through Modulation of Bcl-2 Proteins by the Ubiquitin-Proteasome System. J Diabetes Res 2015; 2015:280615. [PMID: 26064977 PMCID: PMC4438180 DOI: 10.1155/2015/280615] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Revised: 04/17/2015] [Accepted: 04/20/2015] [Indexed: 01/09/2023] Open
Abstract
Pancreatic β-cell loss induced by saturated free fatty acids (FFAs) is believed to contribute to type 2 diabetes. Previous studies have shown induction of endoplasmic reticulum (ER) stress, increased ubiquitinated proteins, and deregulation of the Bcl-2 family in the pancreas of type 2 diabetic patients. However, the precise mechanism of β-cell death remains unknown. In the present study we demonstrate that the FFA palmitate blocks the ubiquitin-proteasome system (UPS) and causes apoptosis through induction of ER stress and deregulation of Bcl-2 proteins. We found that palmitate and the proteasome inhibitor MG132 induced ER stress in β-cells, resulting in decreased expression of the prosurvival proteins Bcl-2, Mcl-1, and Bcl-XL, and upregulation of the prodeath BH3-only protein PUMA. On the other hand, pharmacological activation of the UPS by sulforaphane ameliorated ER stress, upregulated prosurvival Bcl-2 proteins, and protected β-cells from FFA-induced cell death. Furthermore, transgenic overexpression of Bcl-2 protected islets from FFA-induced cell death in vitro and improved glucose-induced insulin secretion in vivo. Together our results suggest that targeting the UPS and Bcl-2 protein expression may be a valuable strategy to prevent β-cell demise in type 2 diabetes.
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Affiliation(s)
- Sara A. Litwak
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
| | - Jibran A. Wali
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - Evan G. Pappas
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - Hamdi Saadi
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - William J. Stanley
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - L. Chitra Varanasi
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - Thomas W. H. Kay
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - Helen E. Thomas
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
| | - Esteban N. Gurzov
- St Vincent's Institute of Medical Research, Melbourne, VIC 3065, Australia
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC 3065, Australia
- *Esteban N. Gurzov:
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19
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Wali JA, Gurzov EN, Fynch S, Elkerbout L, Kay TW, Masters SL, Thomas HE. Activation of the NLRP3 inflammasome complex is not required for stress-induced death of pancreatic islets. PLoS One 2014; 9:e113128. [PMID: 25405767 PMCID: PMC4236141 DOI: 10.1371/journal.pone.0113128] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Accepted: 10/20/2014] [Indexed: 01/09/2023] Open
Abstract
Loss of pancreatic beta cells is a feature of type-2 diabetes. High glucose concentrations induce endoplasmic reticulum (ER) and oxidative stress-mediated apoptosis of islet cells invitro. ER stress, oxidative stress and high glucose concentrations may also activate the NLRP3 inflammasome leading to interleukin (IL)-1β production and caspase-1 dependent pyroptosis. However, whether IL-1β or intrinsic NLRP3 inflammasome activation contributes to beta cell death is controversial. This possibility was examined in mouse islets. Exposure of islets lacking functional NLRP3 or caspase-1 to H2O2, rotenone or thapsigargin induced similar cell death as in wild-type islets. This suggests that oxidative or ER stress do not cause inflammasome-mediated cell death. Similarly, deficiency of NLRP3 inflammasome components did not provide any protection from glucose, ribose or gluco-lipotoxicity. Finally, genetic activation of NLRP3 specifically in beta cells did not increase IL-1β production or cell death, even in response to glucolipotoxicity. Overall, our results show that glucose-, ER stress- or oxidative stress-induced cell death in islet cells is not dependent on intrinsic activation of the NLRP3 inflammasome.
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Affiliation(s)
- Jibran A. Wali
- St Vincent’s Institute, Fitzroy, Victoria, Australia
- The University of Melbourne Department of Medicine, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | - Esteban N. Gurzov
- St Vincent’s Institute, Fitzroy, Victoria, Australia
- The University of Melbourne Department of Medicine, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | - Stacey Fynch
- St Vincent’s Institute, Fitzroy, Victoria, Australia
| | | | - Thomas W. Kay
- St Vincent’s Institute, Fitzroy, Victoria, Australia
- The University of Melbourne Department of Medicine, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | - Seth L. Masters
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Helen E. Thomas
- St Vincent’s Institute, Fitzroy, Victoria, Australia
- The University of Melbourne Department of Medicine, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
- * E-mail:
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20
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Abstract
Obesity is a major predisposing factor for the development of type 2 diabetes (T2D) and is an escalating public health issue around the world. The transition from obesity to T2D is preceded by the induction of a state of insulin resistance, which occurs in response to genetic factors and environmental influences, such as diet. Recent advances have implicated inflammatory immune cells and cytokines as critical pathogenic mediators of insulin resistance and T2D. In particular proinflammatory T helper (Th)1 cells and M1 macrophages are recruited to adipose tissue in response to high fat diet and directly promote the development of insulin resistance. The function of these two cell types is linked by the actions of the cytokine interferon (IFN)γ and one of its major transcriptional regulators T-bet. Recent studies in animal models of T2D demonstrate that T-bet is critical for the development of insulin resistance in response to high fat diet as T-bet-deficient animals are protected from the development of insulin resistance. These data indicate that T-bet and type 1 immunity may constitute novel sites of therapeutic intervention for the treatment of insulin resistance and T2D, in obese human patients.
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Affiliation(s)
- Jibran A Wali
- Immunology and Diabetes Unit, St Vincent’s Institute, University of Melbourne, Fitzroy, Victoria, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, Victoria, Australia
| | - Helen E Thomas
- Immunology and Diabetes Unit, St Vincent’s Institute, University of Melbourne, Fitzroy, Victoria, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, Victoria, Australia
| | - Andrew PR Sutherland
- Immunology and Diabetes Unit, St Vincent’s Institute, University of Melbourne, Fitzroy, Victoria, Australia
- Correspondence: Andrew PR Sutherland, Immunology and Diabetes Unit, St Vincent’s Institute, 9 Princes St, Fitzroy, Victoria, 3065 Australia, Tel +61 3 9288 2480, Fax +61 3 9416 2676, Email
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21
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Wali JA, de Boo HA, Derraik JGB, Phua HH, Oliver MH, Bloomfield FH, Harding JE. Weekly intra-amniotic IGF-1 treatment increases growth of growth-restricted ovine fetuses and up-regulates placental amino acid transporters. PLoS One 2012; 7:e37899. [PMID: 22629469 PMCID: PMC3358268 DOI: 10.1371/journal.pone.0037899] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [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: 06/21/2011] [Accepted: 04/30/2012] [Indexed: 12/30/2022] Open
Abstract
Frequent treatment of the growth-restricted (IUGR) ovine fetus with intra-amniotic IGF-1 increases fetal growth. We aimed to determine whether increased growth was maintained with an extended dosing interval and to examine possible mechanisms. Pregnant ewes were allocated to three groups: Control, and two IUGR groups (induced by placental embolization) treated with weekly intra-amniotic injections of either saline (IUGR) or 360 µg IGF-1 (IGF1). IUGR fetuses were hypoxic, hyperuremic, hypoglycemic, and grew more slowly than controls. Placental glucose uptake and SLC2A1 (GLUT2) mRNA levels decreased in IUGR fetuses, but SLC2A3 (GLUT3) and SLC2A4 (GLUT4) levels were unaffected. IGF-1 treatment increased fetal growth rate, did not alter uterine blood flow or placental glucose uptake, and increased placental SLC2A1 and SLC2A4 (but not SLC2A3) mRNA levels compared with saline-treated IUGR animals. Following IGF-1 treatment, placental mRNA levels of isoforms of the system A, y+, and L amino acid transporters increased 1.3 to 5.0 fold, while the ratio of phosphorylated-mTOR to total mTOR also tended to increase. Weekly intra-amniotic IGF-1 treatment provides a promising avenue for intra-uterine treatment of IUGR babies, and may act via increased fetal substrate supply, up-regulating placental transporters for neutral, cationic, and branched-chain amino acids, possibly via increased activation of the mTOR pathway.
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Affiliation(s)
- Jibran A. Wali
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | | | | | - Hui Hui Phua
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Mark H. Oliver
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | | | - Jane E. Harding
- Liggins Institute, University of Auckland, Auckland, New Zealand
- * E-mail:
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