1
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Peng KY, Barlow CK, Kammoun H, Mellett NA, Weir JM, Murphy AJ, Febbraio MA, Meikle PJ. Stable Isotopic Tracer Phospholipidomics Reveals Contributions of Key Phospholipid Biosynthetic Pathways to Low Hepatocyte Phosphatidylcholine to Phosphatidylethanolamine Ratio Induced by Free Fatty Acids. Metabolites 2021; 11:metabo11030188. [PMID: 33809964 PMCID: PMC8004269 DOI: 10.3390/metabo11030188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/18/2021] [Accepted: 03/19/2021] [Indexed: 01/01/2023] Open
Abstract
There is a strong association between hepatocyte phospholipid homeostasis and non-alcoholic fatty liver disease (NAFLD). The phosphatidylcholine to phosphatidylethanolamine ratio (PC/PE) often draws special attention as genetic and dietary disruptions to this ratio can provoke steatohepatitis and other signs of NAFLD. Here we demonstrated that excessive free fatty acid (1:2 mixture of palmitic and oleic acid) alone was able to significantly lower the phosphatidylcholine to phosphatidylethanolamine ratio, along with substantial alterations to phospholipid composition in rat hepatocytes. This involved both a decrease in hepatocyte phosphatidylcholine (less prominent) and an increase in phosphatidylethanolamine, with the latter contributing more to the lowered ratio. Stable isotopic tracer phospholipidomic analysis revealed several previously unidentified changes that were triggered by excessive free fatty acid. Importantly, the enhanced cytidine diphosphate (CDP)-ethanolamine pathway activity appeared to be driven by the increased supply of preferred fatty acid substrates. By contrast, the phosphatidylethanolamine N-methyl transferase (PEMT) pathway was restricted by low endogenous methionine and consequently low S-adenosylmethionine, which resulted in a concomitant decrease in phosphatidylcholine and accumulation of phosphatidylethanolamine. Overall, our study identified several previously unreported links in the relationship between hepatocyte free fatty acid overload, phospholipid homeostasis, and the development of NAFLD.
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Affiliation(s)
- Kang-Yu Peng
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Christopher K Barlow
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Proteomics and Metabolomics Facility and the Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Helene Kammoun
- Hematopoiesis & Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (H.K.); (A.J.M.)
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
| | - Andrew J Murphy
- Hematopoiesis & Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (H.K.); (A.J.M.)
| | - Mark A Febbraio
- Cellular & Molecular Metabolism Laboratory, Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC 3052, Australia;
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
- Correspondence: ; Tel.: +61-3-8532-1770
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2
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Wong G, Weir JM, Mishra P, Huynh K, Nijagal B, Gupta V, Broekman BFP, Chong MFF, Chan SY, Tan KH, Tull D, McConville M, Calder PC, Godfrey KM, Chong YS, Gluckman PD, Meaney MJ, Meikle PJ, Karnani N. The placental lipidome of maternal antenatal depression predicts socio-emotional problems in the offspring. Transl Psychiatry 2021; 11:107. [PMID: 33542173 PMCID: PMC7862650 DOI: 10.1038/s41398-021-01208-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 10/06/2020] [Accepted: 01/11/2021] [Indexed: 12/14/2022] Open
Abstract
While maternal mental health strongly influences neurodevelopment and health in the offspring, little is known about the determinants of inter-individual variation in the mental health of mothers. Likewise, the in utero biological pathways by which variation in maternal mental health affects offspring development remain to be defined. Previous studies implicate lipids, consistent with a known influence on cognitive and emotional function, but the relevance for maternal mental health and offspring neurodevelopment is unclear. This study characterizes the placental and circulatory lipids in antenatal depression, as well as socio-emotional outcomes in the offspring. Targeted liquid chromatography-mass spectrometry covering 470 lipid species was performed on placenta from 186 women with low (n = 70) or high (n = 116) levels of antenatal depressive symptoms assessed using the Edinburgh Postnatal Depression Scale at 26 weeks' gestation. Child socio-emotional outcomes were assessed from the Child Behavior Check List (CBCL) at 48 months. Seventeen placental lipid species showed an inverse association with antenatal EPDS scores. Specifically, lower levels of phospholipids containing LC-PUFAs: omega-3 docosapentaenoic acid (DPA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and omega-6 arachidonic acid (AA) were significantly associated with depressive symptoms. Additional measurement of LC-PUFA in antenatal plasma samples at mid-gestation confirmed the reduced circulation of these specific fatty acids in mothers. Reduced concentration of the placental phospholipids also predicted poorer socio-emotional outcomes in the offspring. This study provides new insights into the role of the materno-fetal lipid cross-talk as a mechanism linking maternal mental health to that of the offspring. These findings show the potential utility of nutritional approaches among pregnant women with depressive symptoms to reduce offspring risk for later socio-emotional problems.
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Affiliation(s)
- Gerard Wong
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore
| | - Jacquelyn M. Weir
- grid.1051.50000 0000 9760 5620Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Priti Mishra
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore
| | - Kevin Huynh
- grid.1051.50000 0000 9760 5620Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Brunda Nijagal
- grid.1008.90000 0001 2179 088XMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Australia
| | - Varsha Gupta
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore
| | - Birit F. P. Broekman
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.12380.380000 0004 1754 9227Department of Psychiatry, OLVG and Amsterdam UMC, VU University, Amsterdam, the Netherlands
| | - Mary Foong-Fong Chong
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore (NUS) and National University Health System (NUHS), Singapore, Singapore
| | - Shiao-Yng Chan
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Kok Hian Tan
- grid.414963.d0000 0000 8958 3388KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Dedreia Tull
- grid.1008.90000 0001 2179 088XMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Australia
| | - Malcolm McConville
- grid.1008.90000 0001 2179 088XMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Australia
| | - Philip C. Calder
- grid.5491.90000 0004 1936 9297School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK ,grid.5491.90000 0004 1936 9297NIHR Southampton Biomedical Research Centre, Southampton University Hospital NHS Foundation Trust and University of Southampton, Southampton, UK
| | - Keith M. Godfrey
- grid.5491.90000 0004 1936 9297NIHR Southampton Biomedical Research Centre, Southampton University Hospital NHS Foundation Trust and University of Southampton, Southampton, UK ,grid.5491.90000 0004 1936 9297MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Yap Seng Chong
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Peter D. Gluckman
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.9654.e0000 0004 0372 3343Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Michael J. Meaney
- grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore ,grid.14709.3b0000 0004 1936 8649Sackler Program for Epigenetics & Psychobiology at McGill University, Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Peter J. Meikle
- grid.1051.50000 0000 9760 5620Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Brenner Centre for Molecular Medicine, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
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3
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Ursino GM, Fu Y, Cottle DL, Mukhamedova N, Jones LK, Low H, Tham MS, Gan WJ, Mellett NA, Das PP, Weir JM, Ditiatkovski M, Fynch S, Thorn P, Thomas HE, Meikle PJ, Parkington HC, Smyth IM, Sviridov D. ABCA12 regulates insulin secretion from β-cells. EMBO Rep 2020; 21:e48692. [PMID: 32072744 DOI: 10.15252/embr.201948692] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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: 06/18/2019] [Revised: 12/12/2019] [Accepted: 01/08/2020] [Indexed: 12/18/2022] Open
Abstract
Dysregulation of lipid homeostasis is intimately associated with defects in insulin secretion, a key feature of type 2 diabetes. Here, we explore the role of the putative lipid transporter ABCA12 in regulating insulin secretion from β-cells. Mice with β-cell-specific deletion of Abca12 display impaired glucose-stimulated insulin secretion and eventual islet inflammation and β-cell death. ABCA12's action in the pancreas is independent of changes in the abundance of two other cholesterol transporters, ABCA1 and ABCG1, or of changes in cellular cholesterol or ceramide content. Instead, loss of ABCA12 results in defects in the genesis and fusion of insulin secretory granules and increases in the abundance of lipid rafts at the cell membrane. These changes are associated with dysregulation of the small GTPase CDC42 and with decreased actin polymerisation. Our findings establish a new, pleiotropic role for ABCA12 in regulating pancreatic lipid homeostasis and insulin secretion.
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Affiliation(s)
- Gloria M Ursino
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | - Ying Fu
- Baker Heart and Diabetes Institute, Melbourne, Vic., Australia
| | - Denny L Cottle
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | | | - Lynelle K Jones
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | - Hann Low
- Baker Heart and Diabetes Institute, Melbourne, Vic., Australia
| | - Ming Shen Tham
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | - Wan Jun Gan
- Charles Perkins Centre, Camperdown, NSW, Australia
| | | | - Partha P Das
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | | | | | - Stacey Fynch
- St Vincent's Institute, Fitzroy, Vic., Australia
| | - Peter Thorn
- Charles Perkins Centre, Camperdown, NSW, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Vic., Australia
| | - Helena C Parkington
- Department of Physiology, Neuroscience Discovery Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | - Ian M Smyth
- Department of Anatomy and Developmental Biology, Department of Biochemistry and Molecular Biology, Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Vic., Australia
| | - Dmitri Sviridov
- Baker Heart and Diabetes Institute, Melbourne, Vic., Australia
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4
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Amorim NML, Kee A, Coster ACF, Lucas C, Bould S, Daniel S, Weir JM, Mellett NA, Barbour J, Meikle PJ, Cohn RJ, Turner N, Hardeman EC, Simar D. Irradiation impairs mitochondrial function and skeletal muscle oxidative capacity: significance for metabolic complications in cancer survivors. Metabolism 2020; 103:154025. [PMID: 31765667 DOI: 10.1016/j.metabol.2019.154025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 08/22/2019] [Revised: 11/19/2019] [Accepted: 11/21/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND Metabolic complications are highly prevalent in cancer survivors treated with irradiation but the underlying mechanisms remain unknown. METHODS Chow or high fat-fed C57Bl/6J mice were irradiated (6Gy) before investigating the impact on whole-body or skeletal muscle metabolism and profiling their lipidomic signature. Using a transgenic mouse model (Tg:Pax7-nGFP), we isolated muscle progenitor cells (satellite cells) and characterised their metabolic functions. We recruited childhood cancer survivors, grouped them based on the use of total body irradiation during their treatment and established their lipidomic profile. RESULTS In mice, irradiation delayed body weight gain and impaired fat pads and muscle weights. These changes were associated with impaired whole-body fat oxidation in chow-fed mice and altered ex vivo skeletal muscle fatty acid oxidation, potentially due to a reduction in oxidative fibres and reduced mitochondrial enzyme activity. Irradiation led to fasting hyperglycaemia and impaired glucose uptake in isolated skeletal muscles. Cultured satellite cells from irradiated mice showed decreased fatty acid oxidation and reduced glucose uptake, recapitulating the host metabolic phenotype. Irradiation resulted in a remodelling of lipid species in skeletal muscles, with the extensor digitorum longus muscle being particularly affected. A large number of lipid species were reduced, with several of these species showing a positive correlation with mitochondrial enzymes activity. In cancer survivors exposed to irradiation, we found a similar decrease in systemic levels of most lipid species, and lipid species that increased were positively correlated with insulin resistance (HOMA-IR). CONCLUSION Irradiation leads to long-term alterations in body composition, and lipid and carbohydrate metabolism in skeletal muscle, and affects muscle progenitor cells. Such changes result in persistent impairment of metabolic functions, providing a new mechanism for the increased prevalence of metabolic diseases reported in irradiated individuals. In this context, changes in the lipidomic signature in response to irradiation could be of diagnostic value.
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Affiliation(s)
- Nadia M L Amorim
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Anthony Kee
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Adelle C F Coster
- School of Mathematics and Statistics, UNSW Sydney, Sydney, Australia
| | - Christine Lucas
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Sarah Bould
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Sara Daniel
- Mechanisms of Disease and Translational Research, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker IDI, Heart and Diabetes Institute, Melbourne, Australia
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker IDI, Heart and Diabetes Institute, Melbourne, Australia
| | - Jayne Barbour
- Mitochondrial Bioenergetics Lab, Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker IDI, Heart and Diabetes Institute, Melbourne, Australia
| | - Richard J Cohn
- School of Women's and Children's Health, UNSW Sydney, Randwick, Australia; Kids Cancer Centre, Sydney Children's Hospital Network, Randwick, Australia
| | - Nigel Turner
- Mitochondrial Bioenergetics Lab, Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Edna C Hardeman
- Cellular and Genetic Medicine Unit, School of Medical Sciences, UNSW Sydney, Sydney, Australia.
| | - David Simar
- Mechanisms of Disease and Translational Research, School of Medical Sciences, UNSW Sydney, Sydney, Australia.
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5
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Blackburn NB, Michael LF, Meikle PJ, Peralta JM, Mosior M, McAhren S, Bui HH, Bellinger MA, Giles C, Kumar S, Leandro AC, Almeida M, Weir JM, Mahaney MC, Dyer TD, Almasy L, VandeBerg JL, Williams-Blangero S, Glahn DC, Duggirala R, Kowala M, Blangero J, Curran JE. Rare DEGS1 variant significantly alters de novo ceramide synthesis pathway. J Lipid Res 2019; 60:1630-1639. [PMID: 31227640 PMCID: PMC6718439 DOI: 10.1194/jlr.p094433] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [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: 04/11/2019] [Revised: 06/13/2019] [Indexed: 02/06/2023] Open
Abstract
The de novo ceramide synthesis pathway is essential to human biology and health, but genetic influences remain unexplored. The core function of this pathway is the generation of biologically active ceramide from its precursor, dihydroceramide. Dihydroceramides have diverse, often protective, biological roles; conversely, increased ceramide levels are biomarkers of complex disease. To explore the genetics of the ceramide synthesis pathway, we searched for deleterious nonsynonymous variants in the genomes of 1,020 Mexican Americans from extended pedigrees. We identified a Hispanic ancestry-specific rare functional variant, L175Q, in delta 4-desaturase, sphingolipid 1 (DEGS1), a key enzyme in the pathway that converts dihydroceramide to ceramide. This amino acid change was significantly associated with large increases in plasma dihydroceramides. Indexes of DEGS1 enzymatic activity were dramatically reduced in heterozygotes. CRISPR/Cas9 genome editing of HepG2 cells confirmed that the L175Q variant results in a partial loss of function for the DEGS1 enzyme. Understanding the biological role of DEGS1 variants, such as L175Q, in ceramide synthesis may improve the understanding of metabolic-related disorders and spur ongoing research of drug targets along this pathway.
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Affiliation(s)
- Nicholas B Blackburn
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX.
| | - Laura F Michael
- Lilly Research Laboratories,Eli Lilly and Company, Indianapolis, IN
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Juan M Peralta
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Menzies Institute for Medical Research University of Tasmania, Hobart, TAS, Australia
| | - Marian Mosior
- Lilly Research Laboratories,Eli Lilly and Company, Indianapolis, IN
| | - Scott McAhren
- Lilly Research Laboratories,Eli Lilly and Company, Indianapolis, IN
| | - Hai H Bui
- Lilly Research Laboratories,Eli Lilly and Company, Indianapolis, IN
| | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Satish Kumar
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Ana C Leandro
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Marcio Almeida
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | | | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Laura Almasy
- Department of Biomedical and Health Informatics Children's Hospital of Philadelphia, Philadelphia, PA; Department of Human Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - John L VandeBerg
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Sarah Williams-Blangero
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - David C Glahn
- Department of Psychiatry Boston Children's Hospital and Harvard Medical School, Boston, MA; Olin Neuropsychiatry Research Center Institute of Living, Hartford Hospital, Hartford, CT
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Mark Kowala
- Lilly Research Laboratories,Eli Lilly and Company, Indianapolis, IN
| | - John Blangero
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute University of Texas Rio Grande Valley School of Medicine, Brownsville, TX; Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX.
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6
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Parker BL, Calkin AC, Seldin MM, Keating MF, Tarling EJ, Yang P, Moody SC, Liu Y, Zerenturk EJ, Needham EJ, Miller ML, Clifford BL, Morand P, Watt MJ, Meex RCR, Peng KY, Lee R, Jayawardana K, Pan C, Mellett NA, Weir JM, Lazarus R, Lusis AJ, Meikle PJ, James DE, de Aguiar Vallim TQ, Drew BG. An integrative systems genetic analysis of mammalian lipid metabolism. Nature 2019; 567:187-193. [PMID: 30814737 PMCID: PMC6656374 DOI: 10.1038/s41586-019-0984-y] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 01/23/2019] [Indexed: 12/16/2022]
Abstract
Dysregulation of lipid homeostasis is a precipitating event in the pathogenesis and progression of hepatosteatosis and metabolic syndrome. These conditions are highly prevalent in developed societies and currently have limited options for diagnostic and therapeutic intervention. Here, using a proteomic and lipidomic-wide systems genetic approach, we interrogated lipid regulatory networks in 107 genetically distinct mouse strains to reveal key insights into the control and network structure of mammalian lipid metabolism. These include the identification of plasma lipid signatures that predict pathological lipid abundance in the liver of mice and humans, defining subcellular localization and functionality of lipid-related proteins, and revealing functional protein and genetic variants that are predicted to modulate lipid abundance. Trans-omic analyses using these datasets facilitated the identification and validation of PSMD9 as a previously unknown lipid regulatory protein. Collectively, our study serves as a rich resource for probing mammalian lipid metabolism and provides opportunities for the discovery of therapeutic agents and biomarkers in the setting of hepatic lipotoxicity.
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Affiliation(s)
- Benjamin L Parker
- Metabolic Systems Biology Laboratory, Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Anna C Calkin
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia.
- Central Clinical School, Department of Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Marcus M Seldin
- Department of Human Genetics/Medicine, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Michael F Keating
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Central Clinical School, Department of Medicine, Monash University, Melbourne, Victoria, Australia
- Molecular Metabolism & Ageing Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Elizabeth J Tarling
- Department of Medicine, Division of Cardiology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
- Molecular Biology Institute, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Pengyi Yang
- Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Sydney, New South Wales, Australia
| | - Sarah C Moody
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Molecular Metabolism & Ageing Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Yingying Liu
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Molecular Metabolism & Ageing Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Eser J Zerenturk
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Molecular Metabolism & Ageing Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Elise J Needham
- Metabolic Systems Biology Laboratory, Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Matthew L Miller
- Molecular Biology Institute, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Bethan L Clifford
- Department of Medicine, Division of Cardiology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Pauline Morand
- Department of Biological Chemistry, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Matthew J Watt
- Department of Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Ruth C R Meex
- Department of Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Kang-Yu Peng
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Kaushala Jayawardana
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Calvin Pan
- Department of Human Genetics/Medicine, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Ross Lazarus
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - Aldons J Lusis
- Department of Human Genetics/Medicine, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
| | - David E James
- Metabolic Systems Biology Laboratory, Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Thomas Q de Aguiar Vallim
- Department of Medicine, Division of Cardiology, University of California Los Angeles (UCLA), Los Angeles, CA, USA.
- Molecular Biology Institute, University of California Los Angeles (UCLA), Los Angeles, CA, USA.
- Department of Biological Chemistry, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, CA, USA.
| | - Brian G Drew
- Central Clinical School, Department of Medicine, Monash University, Melbourne, Victoria, Australia.
- Molecular Metabolism & Ageing Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia.
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7
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Overgaard AJ, Weir JM, Jayawardana K, Mortensen HB, Pociot F, Meikle PJ. Plasma lipid species at type 1 diabetes onset predict residual beta-cell function after 6 months. Metabolomics 2018; 14:158. [PMID: 30830451 PMCID: PMC6280838 DOI: 10.1007/s11306-018-1456-3] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 11/30/2018] [Indexed: 01/10/2023]
Abstract
INTRODUCTION The identification of metabolomic dysregulation appears promising for the prediction of type 1 diabetes and may also reveal metabolic pathways leading to beta-cell destruction. Recent studies indicate that regulation of multiple phospholipids precede the presence of autoantigens in the development of type 1 diabetes. OBJECTIVES We hypothesize that lipid biomarkers in plasma from children with recent onset type 1 diabetes will reflect their remaining beta-cell function and predict future changes in beta-cell function. METHODS We performed targeted lipidomic profiling by electrospray ionization tandem mass spectrometry to acquire comparative measures of 354 lipid species covering 25 lipid classes and subclasses in plasma samples from 123 patients < 17 years of age followed prospectively at 1, 3, 6 and 12 months after diagnosis. Lipidomic profiles were analysed using liner regression to investigate the relationship between plasma lipids and meal stimulated C-peptide levels at each time point. P-values were corrected for multiple comparisons by the method of Benjamini and Hochberg. RESULTS Linear regression analysis showed that the relative levels of cholesteryl ester, diacylglycerol and triacylglycerol at 1 month were associated to the change in c-peptide levels from 1 to 6 months (corrected p-values of 4.06E-03, 1.72E-02 and 1.72E02, respectively). Medium chain saturated and monounsaturated fatty acids were the major constituents of the di- and triacylglycerol species suggesting a link with increased lipogenesis. CONCLUSION These observations support the hypothesis of lipid disturbances as explanatory factors for residual beta-cell function in children with new onset type 1 diabetes.
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Affiliation(s)
- Anne Julie Overgaard
- Steno Diabetes Center Copenhagen, Niels Steensensvej 2, 2820, Gentofte, Denmark.
- Baker IDI Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, Australia.
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, Australia
| | - Kaushala Jayawardana
- Baker IDI Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, Australia
| | | | - Flemming Pociot
- Steno Diabetes Center Copenhagen, Niels Steensensvej 2, 2820, Gentofte, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, Australia
- Department of Biochemistry and Molecular Biology, University of Melbourne, Melbourne, Australia
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8
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Huynh K, Barlow CK, Jayawardana KS, Weir JM, Mellett NA, Cinel M, Magliano DJ, Shaw JE, Drew BG, Meikle PJ. High-Throughput Plasma Lipidomics: Detailed Mapping of the Associations with Cardiometabolic Risk Factors. Cell Chem Biol 2018; 26:71-84.e4. [PMID: 30415965 DOI: 10.1016/j.chembiol.2018.10.008] [Citation(s) in RCA: 177] [Impact Index Per Article: 29.5] [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: 10/04/2017] [Revised: 04/06/2018] [Accepted: 10/05/2018] [Indexed: 12/26/2022]
Abstract
High-throughput targeted lipid profiling with liquid chromatography-mass spectrometry (LC-MS) has been used extensively to identify associations between plasma lipid species and disease states. Such methods, used to characterize larger clinical cohorts, often suffer from an inability to differentiate isomeric forms of glycerophospholipids that are typically reported as the sum fatty acid carbons and double bonds. Here we report a chromatography gradient coupled with a detailed characterization of the human plasma lipidome to provide improved resolution and identification of 636 lipid species, including previously unreported species, in a 15-min analysis. We have utilized this method on a subset of the Australian Diabetes, Obesity, and Lifestyle Study and have detailed associations of plasma lipid species with anthropometric and blood glucose measures. These results highlight the importance and power of high-throughput lipidomics coupled with a detailed characterization of the lipidome to better understand lipid biology in a population setting.
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Affiliation(s)
- Kevin Huynh
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Christopher K Barlow
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Kaushala S Jayawardana
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Jacquelyn M Weir
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Natalie A Mellett
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Michelle Cinel
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Dianna J Magliano
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Jonathan E Shaw
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Brian G Drew
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Peter J Meikle
- Head Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
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9
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Khan AA, Mundra PA, Straznicky NE, Nestel PJ, Wong G, Tan R, Huynh K, Ng TW, Mellett NA, Weir JM, Barlow CK, Alshehry ZH, Lambert GW, Kingwell BA, Meikle PJ. Weight Loss and Exercise Alter the High-Density Lipoprotein Lipidome and Improve High-Density Lipoprotein Functionality in Metabolic Syndrome. Arterioscler Thromb Vasc Biol 2018; 38:438-447. [DOI: 10.1161/atvbaha.117.310212] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Accepted: 12/19/2017] [Indexed: 12/25/2022]
Affiliation(s)
- Anmar A. Khan
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Piyushkumar A. Mundra
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Nora E. Straznicky
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Paul J. Nestel
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Gerard Wong
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Ricardo Tan
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Kevin Huynh
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Theodore W. Ng
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Natalie A. Mellett
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Jacquelyn M. Weir
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Christopher K. Barlow
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Zahir H. Alshehry
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Gavin W. Lambert
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Bronwyn A. Kingwell
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
| | - Peter J. Meikle
- From the Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia (A.A.K., P.A.M., N.E.S., P.J.N., G.W., R.T., K.H., T.W.N., N.A.M., J.M.W., C.K.B., Z.H.A., G.W.L., B.A.K., P.J.M.); Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia (A.A.K., B.A.K., P.J.M.); Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia (A.A.K.); King Fahad Medical City, Riyadh, Saudi Arabia (Z.H.A.); and School of Biomedical Sciences,
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10
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Bowden JA, Heckert A, Ulmer CZ, Jones CM, Koelmel JP, Abdullah L, Ahonen L, Alnouti Y, Armando AM, Asara JM, Bamba T, Barr JR, Bergquist J, Borchers CH, Brandsma J, Breitkopf SB, Cajka T, Cazenave-Gassiot A, Checa A, Cinel MA, Colas RA, Cremers S, Dennis EA, Evans JE, Fauland A, Fiehn O, Gardner MS, Garrett TJ, Gotlinger KH, Han J, Huang Y, Neo AH, Hyötyläinen T, Izumi Y, Jiang H, Jiang H, Jiang J, Kachman M, Kiyonami R, Klavins K, Klose C, Köfeler HC, Kolmert J, Koal T, Koster G, Kuklenyik Z, Kurland IJ, Leadley M, Lin K, Maddipati KR, McDougall D, Meikle PJ, Mellett NA, Monnin C, Moseley MA, Nandakumar R, Oresic M, Patterson R, Peake D, Pierce JS, Post M, Postle AD, Pugh R, Qiu Y, Quehenberger O, Ramrup P, Rees J, Rembiesa B, Reynaud D, Roth MR, Sales S, Schuhmann K, Schwartzman ML, Serhan CN, Shevchenko A, Somerville SE, St John-Williams L, Surma MA, Takeda H, Thakare R, Thompson JW, Torta F, Triebl A, Trötzmüller M, Ubhayasekera SJK, Vuckovic D, Weir JM, Welti R, Wenk MR, Wheelock CE, Yao L, Yuan M, Zhao XH, Zhou S. Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma. J Lipid Res 2017; 58:2275-2288. [PMID: 28986437 DOI: 10.1194/jlr.m079012] [Citation(s) in RCA: 260] [Impact Index Per Article: 37.1] [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: 07/08/2017] [Revised: 10/02/2017] [Indexed: 12/22/2022] Open
Abstract
As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950-Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement.
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Affiliation(s)
- John A Bowden
- Marine Biochemical Sciences Group, Chemical Sciences Division, Hollings Marine Laboratory, National Institute of Standards and Technology, Charleston, SC
| | - Alan Heckert
- Statistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD
| | - Candice Z Ulmer
- Marine Biochemical Sciences Group, Chemical Sciences Division, Hollings Marine Laboratory, National Institute of Standards and Technology, Charleston, SC
| | - Christina M Jones
- Marine Biochemical Sciences Group, Chemical Sciences Division, Hollings Marine Laboratory, National Institute of Standards and Technology, Charleston, SC
| | - Jeremy P Koelmel
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | | | - Linda Ahonen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Yazen Alnouti
- Department of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE
| | - Aaron M Armando
- Departments of Chemistry and Biochemistry and Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Medicine, Harvard Medical School, Boston, MA
| | - Takeshi Bamba
- Division of Metabolomics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Higashi-ku, Fukuoka, Japan
| | - John R Barr
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, National Center for Environmental Health, Atlanta, GA
| | - Jonas Bergquist
- Department of Chemistry-BMC, Analytical Chemistry, Uppsala University, Uppsala, Sweden
| | - Christoph H Borchers
- University of Victoria-Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Columbia, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.,Gerald Bronfman Department of Oncology McGill University, Montreal, Quebec, Canada.,Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Joost Brandsma
- Faculty of Medicine, Academic Unit of Clinical and Experimental Sciences, Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Susanne B Breitkopf
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA
| | - Tomas Cajka
- National Institutes of Health West Coast Metabolomics Center, University of California Davis Genome Center, Davis, CA
| | - Amaury Cazenave-Gassiot
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore and Singapore Lipidomic Incubator (SLING), Life Sciences Institute, Singapore
| | - Antonio Checa
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Michelle A Cinel
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Romain A Colas
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Experimental Therapeutics and Reperfusion Injury, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Serge Cremers
- Biomarker Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, NY
| | - Edward A Dennis
- Departments of Chemistry and Biochemistry and Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA
| | | | - Alexander Fauland
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Oliver Fiehn
- National Institutes of Health West Coast Metabolomics Center, University of California Davis Genome Center, Davis, CA.,Biochemistry Department, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Michael S Gardner
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, National Center for Environmental Health, Atlanta, GA
| | - Timothy J Garrett
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Katherine H Gotlinger
- Department of Pharmacology, New York Medical College School of Medicine, Valhalla, NY
| | - Jun Han
- University of Victoria-Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Columbia, Canada
| | | | - Aveline Huipeng Neo
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore and Singapore Lipidomic Incubator (SLING), Life Sciences Institute, Singapore
| | | | - Yoshihiro Izumi
- Division of Metabolomics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Higashi-ku, Fukuoka, Japan
| | - Hongfeng Jiang
- Biomarker Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, NY
| | - Houli Jiang
- Department of Pharmacology, New York Medical College School of Medicine, Valhalla, NY
| | - Jiang Jiang
- Departments of Chemistry and Biochemistry and Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA
| | - Maureen Kachman
- Metabolomics Core, BRCF, University of Michigan, Ann Arbor, MI
| | | | | | | | - Harald C Köfeler
- Core Facility for Mass Spectrometry, Medical University of Graz, Graz, Austria
| | - Johan Kolmert
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | | | - Grielof Koster
- Faculty of Medicine, Academic Unit of Clinical and Experimental Sciences, Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Zsuzsanna Kuklenyik
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, National Center for Environmental Health, Atlanta, GA
| | - Irwin J Kurland
- Stable Isotope and Metabolomics Core Facility, Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY
| | - Michael Leadley
- Analytical Facility of Bioactive Molecules, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Karen Lin
- University of Victoria-Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Columbia, Canada
| | - Krishna Rao Maddipati
- Lipidomics Core Facility and Department of Pathology, Wayne State University, Detroit, MI
| | - Danielle McDougall
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Cian Monnin
- Department of Chemistry and Biochemistry, Concordia University, Montréal, Québec, Canada
| | - M Arthur Moseley
- Proteomics and Metabolomics Shared Resource, Levine Science Research Center, Duke University School of Medicine, Durham, NC
| | - Renu Nandakumar
- Biomarker Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, NY
| | - Matej Oresic
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Rainey Patterson
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | | | - Jason S Pierce
- Department of Biochemistry and Molecular Biology Medical University of South Carolina, Charleston, SC
| | - Martin Post
- Analytical Facility of Bioactive Molecules, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Anthony D Postle
- Faculty of Medicine, Academic Unit of Clinical and Experimental Sciences, Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Rebecca Pugh
- Chemical Sciences Division, Environmental Specimen Bank Group, Hollings Marine Laboratory, National Institute of Standards and Technology, Charleston, SC
| | - Yunping Qiu
- Stable Isotope and Metabolomics Core Facility, Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY
| | - Oswald Quehenberger
- Departments of Medicine and Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA
| | - Parsram Ramrup
- Department of Chemistry and Biochemistry, Concordia University, Montréal, Québec, Canada
| | - Jon Rees
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, National Center for Environmental Health, Atlanta, GA
| | - Barbara Rembiesa
- Department of Biochemistry and Molecular Biology Medical University of South Carolina, Charleston, SC
| | - Denis Reynaud
- Analytical Facility of Bioactive Molecules, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Mary R Roth
- Division of Biology, Kansas Lipidomics Research Center, Kansas State University, Manhattan, KS
| | - Susanne Sales
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Kai Schuhmann
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Charles N Serhan
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Experimental Therapeutics and Reperfusion Injury, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Andrej Shevchenko
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Stephen E Somerville
- Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC
| | - Lisa St John-Williams
- Proteomics and Metabolomics Shared Resource, Levine Science Research Center, Duke University School of Medicine, Durham, NC
| | | | - Hiroaki Takeda
- Division of Metabolomics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Higashi-ku, Fukuoka, Japan
| | - Rhishikesh Thakare
- Department of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE
| | - J Will Thompson
- Proteomics and Metabolomics Shared Resource, Levine Science Research Center, Duke University School of Medicine, Durham, NC
| | - Federico Torta
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore and Singapore Lipidomic Incubator (SLING), Life Sciences Institute, Singapore
| | - Alexander Triebl
- Core Facility for Mass Spectrometry, Medical University of Graz, Graz, Austria
| | - Martin Trötzmüller
- Core Facility for Mass Spectrometry, Medical University of Graz, Graz, Austria
| | | | - Dajana Vuckovic
- Department of Chemistry and Biochemistry, Concordia University, Montréal, Québec, Canada
| | - Jacquelyn M Weir
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Ruth Welti
- Division of Biology, Kansas Lipidomics Research Center, Kansas State University, Manhattan, KS
| | - Markus R Wenk
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore and Singapore Lipidomic Incubator (SLING), Life Sciences Institute, Singapore
| | - Craig E Wheelock
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Libin Yao
- Division of Biology, Kansas Lipidomics Research Center, Kansas State University, Manhattan, KS
| | - Min Yuan
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA
| | - Xueqing Heather Zhao
- Stable Isotope and Metabolomics Core Facility, Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY
| | - Senlin Zhou
- Lipidomics Core Facility and Department of Pathology, Wayne State University, Detroit, MI
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11
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Lin HM, Mahon KL, Weir JM, Mundra PA, Spielman C, Briscoe K, Gurney H, Mallesara G, Marx G, Stockler MR, PRIMe Consortium, Parton RG, Hoy AJ, Daly RJ, Meikle PJ, Horvath LG. A distinct plasma lipid signature associated with poor prognosis in castration-resistant prostate cancer. Int J Cancer 2017; 141:2112-2120. [PMID: 28741687 DOI: 10.1002/ijc.30903] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [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: 04/21/2017] [Revised: 06/19/2017] [Accepted: 07/06/2017] [Indexed: 12/29/2022]
Abstract
Lipids are known to influence tumour growth, inflammation and chemoresistance. However, the association of circulating lipids with the clinical outcome of metastatic castration-resistant prostate cancer (CRPC) is unknown. We investigated associations between the plasma lipidome and clinical outcome in CRPC. Lipidomic profiling by liquid chromatography-tandem mass spectrometry was performed on plasma samples from a Phase 1 discovery cohort of 96 CRPC patients. Results were validated in an independent Phase 2 cohort of 63 CRPC patients. Unsupervised analysis of lipidomic profiles (323 lipid species) classified the Phase 1 cohort into two patient subgroups with significant survival differences (HR 2.31, 95% CI 1.44-3.68, p = 0.0005). The levels of 46 lipids were individually prognostic and were predominantly sphingolipids with higher levels associated with poor prognosis. A prognostic three-lipid signature was derived (ceramide d18:1/24:1, sphingomyelin d18:2/16:0, phosphatidylcholine 16:0/16:0) and was also associated with shorter survival in the Phase 2 cohort (HR 4.8, 95% CI 2.06-11.1, p = 0.0003). The signature was an independent prognostic factor when modelled with clinicopathological factors or metabolic characteristics. The association of plasma lipids with CRPC prognosis suggests a possible role of these lipids in disease progression. Further research is required to determine if therapeutic modulation of the levels of these lipids by targeting their metabolic pathways may improve patient outcome.
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Affiliation(s)
- Hui-Ming Lin
- Cancer Division, The Kinghorn Cancer Centre/Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,St Vincent's Clinical School, UNSW Sydney, NSW, Australia
| | - Kate L Mahon
- Cancer Division, The Kinghorn Cancer Centre/Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,St Vincent's Clinical School, UNSW Sydney, NSW, Australia.,Medical Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.,Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Piyushkumar A Mundra
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Calan Spielman
- Cancer Division, The Kinghorn Cancer Centre/Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Karen Briscoe
- Medical Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, NSW, Australia
| | - Howard Gurney
- Medical Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Westmead, NSW, Australia
| | - Girish Mallesara
- Medical Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia
| | - Gavin Marx
- Medical Oncology, Sydney Adventist Hospital, Wahroonga, NSW, Australia
| | - Martin R Stockler
- Medical Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.,Royal Prince Alfred Hospital, Camperdown, NSW, Australia.,Medical Oncology, Concord Repatriation General Hospital, Concord, NSW, Australia.,Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
| | - PRIMe Consortium
- Pharmacogenomics Research for Individualised Medicine Consortium, NSW, Australia
| | - Robert G Parton
- Cell Biology and Molecular Medicine Division, Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Andrew J Hoy
- Discipline of Physiology, School of Medical Sciences & Bosch Institute, Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
| | - Roger J Daly
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Lisa G Horvath
- Cancer Division, The Kinghorn Cancer Centre/Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,St Vincent's Clinical School, UNSW Sydney, NSW, Australia.,Medical Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.,Royal Prince Alfred Hospital, Camperdown, NSW, Australia.,Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
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12
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Yeoh HL, Cheng AC, Cherry CL, Weir JM, Meikle PJ, Hoy JF, Crowe SM, Palmer CS. Immunometabolic and Lipidomic Markers Associated With the Frailty Index and Quality of Life in Aging HIV+ Men on Antiretroviral Therapy. EBioMedicine 2017; 22:112-121. [PMID: 28754302 PMCID: PMC5552224 DOI: 10.1016/j.ebiom.2017.07.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 07/15/2017] [Accepted: 07/17/2017] [Indexed: 01/09/2023] Open
Abstract
Chronic immune activation persists despite antiretroviral therapy (ART) in HIV+ individuals and underpins an increased risk of age-related co-morbidities. We assessed the Frailty Index in older HIV+ Australian men on ART. Immunometabolic markers on monocytes and T cells were analyzed using flow cytometry, plasma innate immune activation markers by ELISA, and lipidomic profiling by mass spectrometry. The study population consisted of 80 HIV+ men with a median age of 59 (IQR, 56-65), and most had an undetectable viral load (92%). 24% were frail, and 76% were non-frail. Frailty was associated with elevated Glucose transporter-1 (Glut1) expression on the total monocytes (p=0.04), increased plasma levels of innate immune activation marker sCD163 (OR, 4.8; CI 1.4-15.9, p=0.01), phosphatidylethanolamine PE(36:3) (OR, 5.1; CI 1.7-15.5, p=0.004) and triacylglycerol TG(16:1_18:1_18:1) (OR, 3.4; CI 1.3-9.2, p=0.02), but decreased expression of GM3 ganglioside, GM3(d18:1/18:0) (OR, 0.1; CI 0.0-0.6, p=0.01) and monohexosylceramide HexCerd(d18:1/22:0) (OR, 0.1; CI 0.0-0.5, p=0.004). There is a strong inverse correlation between quality of life and the concentration of PE(36:3) (ρ=-0.33, p=0.004) and PE(36:4) (ρ=-0.37, p=0.001). These data suggest that frailty is associated with increased innate immune activation and abnormal lipidomic profile. These markers should be investigated in larger, longitudinal studies to determine their potential as biomarkers for frailty.
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Affiliation(s)
- Hui-Ling Yeoh
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia
| | - Allen C Cheng
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Level 6, The Alfred Centre (Alfred Hospital), 99 Commercial Road, Melbourne, VIC 3004, Australia
| | - Catherine L Cherry
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; School of Physiology, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, 2000 Johannesburg, South Africa
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Jennifer F Hoy
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia
| | - Suzanne M Crowe
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia
| | - Clovis S Palmer
- Department of Infectious Diseases, The Alfred and Monash University, Level 2, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia; Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia.
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13
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Moxon JV, Jones RE, Wong G, Weir JM, Mellett NA, Kingwell BA, Meikle PJ, Golledge J. Baseline serum phosphatidylcholine plasmalogen concentrations are inversely associated with incident myocardial infarction in patients with mixed peripheral artery disease presentations. Atherosclerosis 2017; 263:301-308. [PMID: 28728066 DOI: 10.1016/j.atherosclerosis.2017.06.925] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [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: 02/23/2017] [Revised: 06/23/2017] [Accepted: 06/28/2017] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND AIMS Despite current best care, patients with peripheral artery disease (PAD) remain at high risk of myocardial infarction, and biomarkers to more accurately assess cardiovascular risk are needed. This study assessed the relationship between the serum lipidome and incident myocardial infarction in a cohort of PAD patients. METHODS 265 PAD patients were followed up for a median of 23 months, during which 18 people suffered a myocardial infarction. Fasting serum concentrations of 332 lipid species were measured via mass spectrometry and their association with incident myocardial infarction was assessed via Cox regression. Secondary analyses investigated prognostic potential of specific lipid species. RESULTS Total serum concentrations of alkyl-phosphatidylcholine and alkenylphospatidylcholine (plasmalogen) lipids were inversely associated with incident myocardial infarction after adjusting for multiple testing (hazards ratio (95% confidence intervals): 0.43 (0.24-0.74); p = 0.032; and 0.28 (0.14-0.56), p = 0.010, respectively). Specifically, 10 alkenylphosphatidylcholine species and 6 alkyl-phosphatidylcholine species were negatively associated with incident myocardial infarction after adjusting for traditional risk factors and correcting for multiple testing (hazards ratios ranging from 0.07 to 0.51, p < 0.05). Incorporation of serum phosphatidylcholine plasmalogen species PC(P-40:6) concentration within analyses designed to determine subsequent myocardial infarction incidence led to an improvement in predictive accuracy compared to traditional risk factors alone. CONCLUSIONS Serum concentrations of phosphatidylcholine plasmalogens and alkyl-phosphatidylcholines were negatively associated with incident myocardial infarction and have potential to act as novel prognostic markers in at-risk populations.
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Affiliation(s)
- Joseph V Moxon
- The Vascular Biology Unit, Queensland Research Centre for Peripheral Vascular Disease, James Cook University, Townsville, Queensland, Australia; The Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia
| | - Rhondda E Jones
- The Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia
| | - Gerard Wong
- Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia
| | - Natalie A Mellett
- Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia
| | - Bronwyn A Kingwell
- Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Research Institute, Melbourne, Victoria, Australia.
| | - Jonathan Golledge
- The Vascular Biology Unit, Queensland Research Centre for Peripheral Vascular Disease, James Cook University, Townsville, Queensland, Australia; The Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia; Department of Vascular and Endovascular Surgery, The Townsville Hospital, Townsville, Queensland, Australia.
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14
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Eikelis N, Lambert EA, Phillips S, Sari CI, Mundra PA, Weir JM, Huynh K, Grima MT, Straznicky NE, Dixon JB, Schlaich MP, Meikle PJ, Lambert GW. Muscle Sympathetic Nerve Activity Is Associated With Elements of the Plasma Lipidomic Profile in Young Asian Adults. J Clin Endocrinol Metab 2017; 102:2059-2068. [PMID: 28323975 DOI: 10.1210/jc.2016-3738] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [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: 11/20/2016] [Accepted: 03/10/2017] [Indexed: 02/13/2023]
Abstract
BACKGROUND Asian subjects are at increased cardio-metabolic risk at comparatively lower body mass index (BMI) compared with white subjects. Sympathetic nervous system activation and dyslipidemia, both characteristics of increased adiposity, appear to be related. We therefore analyzed the association of muscle sympathetic nerve activity (MSNA) with the plasma lipidomic profile in young adult Asian and white subjects. METHODS Blood samples were collected from 101 participants of either Asian or white background (age, 18 to 30 years; BMI, 28.1 ± 5.9 kg/m2). Lipids were extracted from plasma and analyzed using electrospray ionization-tandem mass spectrometry. MSNA was quantified using microneurography. The association of MSNA and obesity with lipid species was examined using linear regression analysis. RESULTS The plasma concentrations of total dihydroceramide, ceramide, GM3 ganglioside, lysoalkylphosphatidylcholine, alkenylphosphatidylethanolamine, and lysophosphatidylinositol were elevated in the Asian subjects relative to the white subjects. After adjustment for confounders, diacylglycerols and triacylglycerols, cholesterol esters, phosphatidylinositols, phosphatidylethanolamines, and phosphatidylglycerols bore significant associations with MSNA but only in the Asian subjects. These associations remained significant after further adjustment for the participants' degree of insulin resistance and appeared not to be related to differences in diet macronutrient content between groups. CONCLUSIONS The lipidomic profile differs between Asian and white subjects. There exists a strong relationship between certain lipid species and MSNA. The association is stronger in Asian subjects, despite their lower BMI. This study demonstrates an association between circulating lipids and central sympathetic outflow. Whether the stronger association between the lipid profile and sympathetic activation underpins the apparent greater risk posed by increased adiposity in Asian individuals merits further attention.
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Affiliation(s)
- Nina Eikelis
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - Elisabeth A Lambert
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - Sarah Phillips
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - Carolina Ika Sari
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Piyushkumar A Mundra
- Metabolomics Laboratories, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Jacquelyn M Weir
- Metabolomics Laboratories, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Kevin Huynh
- Metabolomics Laboratories, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Mariee T Grima
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Nora E Straznicky
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - John B Dixon
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Primary Care Research, Monash University, Melbourne, Victoria 3800, Australia
| | - Markus P Schlaich
- Neurovascular Hypertension & Kidney Disease, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Dobney Hypertension Centre, School of Medicine, University of Western Australia - Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia 6000, Australia
| | - Peter J Meikle
- Metabolomics Laboratories, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Gavin W Lambert
- Human Neurotransmitters, Baker Heart & Diabetes Institute, Melbourne, Victoria 3004, Australia
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Victoria 3122, Australia
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15
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Grace MS, Dempsey PC, Sethi P, Mundra PA, Mellett NA, Weir JM, Owen N, Dunstan DW, Meikle PJ, Kingwell BA. Breaking Up Prolonged Sitting Alters the Postprandial Plasma Lipidomic Profile of Adults With Type 2 Diabetes. J Clin Endocrinol Metab 2017; 102:1991-1999. [PMID: 28323950 DOI: 10.1210/jc.2016-3926] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 03/08/2017] [Indexed: 11/19/2022]
Abstract
Context Postprandial dysmetabolism in type 2 diabetes (T2D) is exacerbated by prolonged sitting and may trigger inflammation and oxidative stress. It is unknown what impact countermeasures to prolonged sitting have on the postprandial lipidome. Objective In this study, we investigated the effects of regular interruptions to sitting, compared with prolonged sitting, on the postprandial plasma lipidome. Design Randomized crossover experimental trial. Setting Participants underwent three 7-hour conditions: uninterrupted sitting (SIT); light-intensity walking interruptions (LW); and simple resistance activity interruptions (SRA). Participants and Samples Baseline (fasting) and 7-hour (postprandial) plasma samples from 21 inactive overweight/obese adults with T2D were analyzed for 338 lipid species using mass spectrometry. Main Outcome Measures Using mixed model analysis (controlling for baseline outcome variable, gender, body mass index, and condition order), the percentage change in lipid species (baseline to 7 hours) was compared between conditions with Benjamini-Hochberg correction. Results Thirty-seven lipids were different between conditions (P < 0.05). Compared with SIT, postprandial elevations in diacylglycerols, triacylglycerols, and phosphatidylethanolamines were attenuated in LW and SRA. Plasmalogens and lysoalkylphosphatidylcholines were reduced in SIT, compared with attenuated reductions or elevations in LW and SRA. Phosphatidylserines were elevated with LW, compared with reductions in SIT and SRA. Conclusion Compared with SIT, LW and SRA were associated with reductions in lipids associated with inflammation; increased concentrations of lipids associated with antioxidant capacity; and differential changes in species associated with platelet activation. Acutely interrupting prolonged sitting time may impart beneficial effects on the postprandial plasma lipidome of adults with T2D. Evidence on longer-term intervention is needed.
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Affiliation(s)
- Megan S Grace
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Paddy C Dempsey
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria 3800, Australia
- Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - Parneet Sethi
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
| | | | - Natalie A Mellett
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Jacquelyn M Weir
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Neville Owen
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Centre of Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria 3125, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Department of Biochemistry and Molecular Biology, University of Melbourne, Victoria 3010, Australia
| | - Bronwyn A Kingwell
- Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria 3800, Australia
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16
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O'Connell JM, Weir JM, MacIntosh BR. Blood lactate accumulation decreases during the slow component of oxygen uptake without a decrease in muscular efficiency. Pflugers Arch 2017; 469:1257-1265. [PMID: 28550471 DOI: 10.1007/s00424-017-1986-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [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: 02/23/2017] [Revised: 04/10/2017] [Accepted: 04/23/2017] [Indexed: 11/26/2022]
Abstract
Pulmonary oxygen uptake ([Formula: see text]) slowly increases during exercise above the anaerobic threshold, and this increase is called the slow component of [Formula: see text]. The mechanism of the increase in [Formula: see text] is assumed to be due to increasing energy cost associated with increasingly inefficient muscle contraction. We hypothesized that the increase in [Formula: see text] would be accompanied by a constant or increasing rate of accumulation of blood lactate, indicating sustained anaerobic metabolism while [Formula: see text] increased. Ten male subjects performed cycle ergometry for 3, 6, and 9 min at a power output representing 60% of the difference between lactate threshold and maximal [Formula: see text] while [Formula: see text] and blood lactate accumulation were measured. Blood lactate accumulation decreased over time, providing the energy equivalent of (mean ± SD) 1586 ± 265, 855 ± 287, and 431 ± 392 ml of [Formula: see text] during 0-3, 3-6, and 6-9 min of exercise, respectively. As duration progressed, [Formula: see text] supplied 86.3 ± 2.0, 93.6 ± 1.9, and 96.8 ± 2.9% of total energy from 0 to 3, 3 to 6, and 6 to 9 min, respectively, while anaerobic contribution decreased. There was no change in total energy cost after 3 min, except that required by ventilatory muscles for the progressive increase in ventilation. The slow component of [Formula: see text] is accompanied by decreasing anaerobic energy contribution beyond 3 min during heavy exercise.
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Affiliation(s)
- J M O'Connell
- Faculty of Kinesiology, Human Performance Laboratory, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
| | - J M Weir
- Faculty of Kinesiology, Human Performance Laboratory, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
| | - B R MacIntosh
- Faculty of Kinesiology, Human Performance Laboratory, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
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17
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Kulkarni H, Mamtani M, Wong G, Weir JM, Barlow CK, Dyer TD, Almasy L, Mahaney MC, Comuzzie AG, Duggirala R, Meikle PJ, Blangero J, Curran JE. Genetic correlation of the plasma lipidome with type 2 diabetes, prediabetes and insulin resistance in Mexican American families. BMC Genet 2017; 18:48. [PMID: 28525987 PMCID: PMC5438505 DOI: 10.1186/s12863-017-0515-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Accepted: 05/11/2017] [Indexed: 01/15/2023] Open
Abstract
Background Differential plasma concentrations of circulating lipid species are associated with pathogenesis of type 2 diabetes (T2D). Whether the wide inter-individual variability in the plasma lipidome contributes to the genetic basis of T2D is unknown. Here, we investigated the potential overlap in the genetic basis of the plasma lipidome and T2D-related traits. Results We used plasma lipidomic data (1202 pedigreed individuals, 319 lipid species representing 23 lipid classes) from San Antonio Family Heart Study in Mexican Americans. Bivariate trait analyses were used to estimate the genetic and environmental correlation of all lipid species with three T2D-related traits: risk of T2D, presence of prediabetes and homeostatic model of assessment – insulin resistance. We found that 44 lipid species were significantly genetically correlated with one or more of the three T2D-related traits. Majority of these lipid species belonged to the diacylglycerol (DAG, 17 species) and triacylglycerol (TAG, 17 species) classes. Six lipid species (all belonging to the triacylglycerol class and containing palmitate at the first position) were significantly genetically correlated with all the T2D-related traits. Conclusions Our results imply that: a) not all plasma lipid species are genetically informative for T2D pathogenesis; b) the DAG and TAG lipid classes partially share genetic basis of T2D; and c) 1-palmitate containing TAGs may provide additional insights into the genetic basis of T2D. Electronic supplementary material The online version of this article (doi:10.1186/s12863-017-0515-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hemant Kulkarni
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
| | - Manju Mamtani
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Gerard Wong
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
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18
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Petersen KS, Keogh JB, Lister N, Weir JM, Meikle PJ, Clifton PM. Association between dairy intake, lipids and vascular structure and function in diabetes. World J Diabetes 2017; 8:202-212. [PMID: 28572881 PMCID: PMC5437618 DOI: 10.4239/wjd.v8.i5.202] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 12/15/2016] [Accepted: 03/13/2017] [Indexed: 02/05/2023] Open
Abstract
AIM To determine lipid species that change in response to a change in dairy consumption. In addition, to investigate whether dairy associated lipid species are correlated with changes in measures of vascular structure and function.
METHODS A 12-mo randomised controlled trial was conducted to determine the effect of increased consumption of fruit, vegetables and dairy, compared to usual diet, on measures of vascular structure and function in adults with type 1 and type 2 diabetes (n = 108). This paper comprises post-hoc analyses investigating the relationship between dairy intake, serum lipid species and vascular health. Central and peripheral blood pressure, carotid femoral pulse wave velocity, augmentation index, serum lipid species and dietary intake were measured at baseline and 3-mo. Common carotid artery intima media thickness was measured at baseline and 12-mo.
RESULTS Serum lipid species [lysophosphatidylcholine (LPC) 14:0, LPC 15:0, LPC 16:1, phosphatidylcholine (PC) 29:0 PC 30:0, PC 31:0 and cholesterol ester (CE) 14:0] were associated with the change in full fat dairy consumption (rho 0.19-0.25; P < 0.05). The 3-mo change in some lipids was positively associated with the 3-mo change in central systolic [LPC 14:0 (rho 0.30; P = 0.007), PC 30:0 (rho 0.28; P = 0.010)] and diastolic blood pressure [LPC 14:0 (rho 0.32; P = 0.004), LPC 15:0 (rho 0.23; P = 0.04), LPC 16:1 (rho 0.23; P = 0.035), PC 29:0 (rho 0.28; P = 0.01), PC 30:0 (rho 0.36; P = 0.001), PC 31:0 (rho 0.30; P = 0.007)] and 12-mo change in common carotid artery intimal medial thickness [CE 14:0 (rho 0.22; P = 0.02)]. Pulse wave velocity and augmentation index were unrelated to dairy and lipid species.
CONCLUSION An increase in dairy associated lipids appears to be associated with an increase in blood pressure and common carotid intimal medial thickness.
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19
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Ip SCI, Cottle DL, Jones LK, Weir JM, Kelsell DP, O'Toole EA, Meikle PJ, Smyth IM. A profile of lipid dysregulation in harlequin ichthyosis. Br J Dermatol 2017; 177:e217-e219. [PMID: 28493316 DOI: 10.1111/bjd.15642] [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: 11/30/2022]
Affiliation(s)
- S C I Ip
- Monash Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, 3800, VIC, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Wellington Road, Clayton, Vic, Australia
| | - D L Cottle
- Monash Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, 3800, VIC, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Wellington Road, Clayton, Vic, Australia.,Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - L K Jones
- Monash Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, 3800, VIC, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Wellington Road, Clayton, Vic, Australia.,Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - J M Weir
- Centre for Cell Biology and Cutaneous Research, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, U.K
| | - D P Kelsell
- Department of Anatomy and Developmental Biology, Monash University, Wellington Road, Clayton, 3800, VIC, Australia
| | - E A O'Toole
- Department of Anatomy and Developmental Biology, Monash University, Wellington Road, Clayton, 3800, VIC, Australia
| | - P J Meikle
- Centre for Cell Biology and Cutaneous Research, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, U.K
| | - I M Smyth
- Monash Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, 3800, VIC, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Wellington Road, Clayton, Vic, Australia.,Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
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20
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Chaurasia B, Kaddai VA, Lancaster GI, Henstridge DC, Sriram S, Galam DLA, Gopalan V, Prakash KNB, Velan SS, Bulchand S, Tsong TJ, Wang M, Siddique MM, Yuguang G, Sigmundsson K, Mellet NA, Weir JM, Meikle PJ, Bin M Yassin MS, Shabbir A, Shayman JA, Hirabayashi Y, Shiow SATE, Sugii S, Summers SA. Adipocyte Ceramides Regulate Subcutaneous Adipose Browning, Inflammation, and Metabolism. Cell Metab 2016; 24:820-834. [PMID: 27818258 DOI: 10.1016/j.cmet.2016.10.002] [Citation(s) in RCA: 163] [Impact Index Per Article: 20.4] [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: 02/16/2016] [Revised: 06/15/2016] [Accepted: 10/05/2016] [Indexed: 01/23/2023]
Abstract
Adipocytes package incoming fatty acids into triglycerides and other glycerolipids, with only a fraction spilling into a parallel biosynthetic pathway that produces sphingolipids. Herein, we demonstrate that subcutaneous adipose tissue of type 2 diabetics contains considerably more sphingolipids than non-diabetic, BMI-matched counterparts. Whole-body and adipose tissue-specific inhibition/deletion of serine palmitoyltransferase (Sptlc), the first enzyme in the sphingolipid biosynthesis cascade, in mice markedly altered adipose morphology and metabolism, particularly in subcutaneous adipose tissue. The reduction in adipose sphingolipids increased brown and beige/brite adipocyte numbers, mitochondrial activity, and insulin sensitivity. The manipulation also increased numbers of anti-inflammatory M2 macrophages in the adipose bed and induced secretion of insulin-sensitizing adipokines. By comparison, deletion of serine palmitoyltransferase from macrophages had no discernible effects on metabolic homeostasis or adipose function. These data indicate that newly synthesized adipocyte sphingolipids are nutrient signals that drive changes in the adipose phenotype to influence whole-body energy expenditure and nutrient metabolism.
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Affiliation(s)
- Bhagirath Chaurasia
- Laboratory of Translational Metabolic Health, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia.
| | - Vincent Andre Kaddai
- Laboratory of Translational Metabolic Health, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Graeme Iain Lancaster
- Laboratory of Translational Metabolic Health, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Darren C Henstridge
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Sandhya Sriram
- Fat Metabolism and Stem Cell Group, Singapore Bioimaging Consortium, Singapore 138667, Singapore
| | - Dwight Lark Anolin Galam
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Graduate Medical School, Singapore 169547, Singapore
| | - Venkatesh Gopalan
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore 138667, Singapore
| | - K N Bhanu Prakash
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore 138667, Singapore
| | - S Sendhil Velan
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore 138667, Singapore
| | - Sarada Bulchand
- Tata Institute of Fundamental Research, Navy Nagar, Mumbai 400005, India
| | - Teh Jing Tsong
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Mei Wang
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | | | - Guan Yuguang
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Graduate Medical School, Singapore 169547, Singapore
| | - Kristmundur Sigmundsson
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Graduate Medical School, Singapore 169547, Singapore
| | - Natalie A Mellet
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
| | - M Shabeer Bin M Yassin
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Asim Shabbir
- Department of Surgery, National University of Singapore, Singapore 117599, Singapore
| | - James A Shayman
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - Sue-Anne Toh Ee Shiow
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Shigeki Sugii
- Fat Metabolism and Stem Cell Group, Singapore Bioimaging Consortium, Singapore 138667, Singapore; Program in Cardiovascular and Metabolic Disorders, Duke-NUS Graduate Medical School, Singapore 169547, Singapore
| | - Scott A Summers
- Laboratory of Translational Metabolic Health, Baker IDI Heart and Diabetes Institute, Melbourne 3004, Australia
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21
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Mamtani M, Kulkarni H, Wong G, Weir JM, Barlow CK, Dyer TD, Almasy L, Mahaney MC, Comuzzie AG, Glahn DC, Magliano DJ, Zimmet P, Shaw J, Williams-Blangero S, Duggirala R, Blangero J, Meikle PJ, Curran JE. Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohorts. Lipids Health Dis 2016; 15:67. [PMID: 27044508 PMCID: PMC4820916 DOI: 10.1186/s12944-016-0234-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 03/24/2016] [Indexed: 12/12/2022] Open
Abstract
Background Detection of type 2 diabetes (T2D) is routinely based on the presence of dysglycemia. Although disturbed lipid metabolism is a hallmark of T2D, the potential of plasma lipidomics as a biomarker of future T2D is unknown. Our objective was to develop and validate a plasma lipidomic risk score (LRS) as a biomarker of future type 2 diabetes and to evaluate its cost-effectiveness for T2D screening. Methods Plasma LRS, based on significantly associated lipid species from an array of 319 lipid species, was developed in a cohort of initially T2D-free individuals from the San Antonio Family Heart Study (SAFHS). The LRS derived from SAFHS as well as its recalibrated version were validated in an independent cohort from Australia – the AusDiab cohort. The participants were T2D-free at baseline and followed for 9197 person-years in the SAFHS cohort (n = 771) and 5930 person-years in the AusDiab cohort (n = 644). Statistically and clinically improved T2D prediction was evaluated with established statistical parameters in both cohorts. Modeling studies were conducted to determine whether the use of LRS would be cost-effective for T2D screening. The main outcome measures included accuracy and incremental value of the LRS over routinely used clinical predictors of T2D risk; validation of these results in an independent cohort and cost-effectiveness of including LRS in screening/intervention programs for T2D. Results The LRS was based on plasma concentration of dihydroceramide 18:0, lysoalkylphosphatidylcholine 22:1 and triacyglycerol 16:0/18:0/18:1. The score predicted future T2D independently of prediabetes with an accuracy of 76 %. Even in the subset of initially euglycemic individuals, the LRS improved T2D prediction. In the AusDiab cohort, the LRS continued to predict T2D significantly and independently. When combined with risk-stratification methods currently used in clinical practice, the LRS significantly improved the model fit (p < 0.001), information content (p < 0.001), discrimination (p < 0.001) and reclassification (p < 0.001) in both cohorts. Modeling studies demonstrated that LRS-based risk-stratification combined with metformin supplementation for high-risk individuals was the most cost-effective strategy for T2D prevention. Conclusions Considering the novelty, incremental value and cost-effectiveness of LRS it should be used for risk-stratification of future T2D. Electronic supplementary material The online version of this article (doi:10.1186/s12944-016-0234-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Manju Mamtani
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
| | - Hemant Kulkarni
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Gerard Wong
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, 200 Retreat Avenue, New Haven, CT, USA
| | | | - Paul Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jonathan Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Sarah Williams-Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA
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22
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Overgaard AJ, Weir JM, De Souza DP, Tull D, Haase C, Meikle PJ, Pociot F. Lipidomic and metabolomic characterization of a genetically modified mouse model of the early stages of human type 1 diabetes pathogenesis. Metabolomics 2016; 12:13. [PMID: 26612984 PMCID: PMC4648980 DOI: 10.1007/s11306-015-0889-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 09/02/2015] [Indexed: 12/31/2022]
Abstract
The early mechanisms regulating progression towards beta cell failure in type 1 diabetes (T1D) are poorly understood, but it is generally acknowledged that genetic and environmental components are involved. The metabolomic phenotype is sensitive to minor variations in both, and accordingly reflects changes that may lead to the development of T1D. We used two different extraction methods in combination with both liquid- and gas chromatographic techniques coupled to mass spectrometry to profile the metabolites in a transgenic non-diabetes prone C57BL/6 mouse expressing CD154 under the control of the rat insulin promoter (RIP) crossed into the immuno-deficient recombination-activating gene (RAG) knockout (-/-) C57BL/6 mouse, resembling the early stages of human T1D. We hypothesized that alterations in the metabolomic phenotype would characterize the early pathogenesis of T1D, thus metabolomic profiling could provide new insight to the development of T1D. Comparison of the metabolome of the RIP CD154 × RAG-/- mice to RAG-/- mice and C57BL/6 mice revealed alterations of >100 different lipids and metabolites in serum. Low lysophosphatidylcholine levels, accumulation of ceramides as well as methionine deficits were detected in the pre-type 1 diabetic mice. Additionally higher lysophosphatidylinositol levels and low phosphatidylglycerol levels where novel findings in the pre-type 1 diabetic mice. These observations suggest that metabolomic disturbances precede the onset of T1D.
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Affiliation(s)
| | | | - David Peter De Souza
- Metabolomics Australia, Bio21 Institute, University of Melbourne, Parkville, Melbourne, Australia
| | - Dedreia Tull
- Metabolomics Australia, Bio21 Institute, University of Melbourne, Parkville, Melbourne, Australia
| | | | - Peter J. Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
- Department of Biochemistry and Molecular Biology, University of Melbourne, Melbourne, Australia
| | - Flemming Pociot
- Pediatric Department, Herlev Hospital, Herlev Ringvej 75, 2730 Herlev, Denmark
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23
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Barzel B, Weir JM, Meikle PJ, Burke SL, Armitage JA, Head GA. Short term fat feeding rapidly increases plasma insulin but does not result in dyslipidaemia. Front Physiol 2014; 5:469. [PMID: 25520669 PMCID: PMC4251291 DOI: 10.3389/fphys.2014.00469] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 11/15/2014] [Indexed: 11/29/2022] Open
Abstract
Although the association between obesity and hypertension is well-known, the underlying mechanism remains elusive. Previously, we have shown that 3 week fat feeding in rabbits produces greater visceral adiposity, hypertension, tachycardia and elevated renal sympathetic nerve activity (RSNA) compared to rabbits on a normal diet. Because hyperinsulinaemia, hyperleptinemia, and dyslipidaemia are independent cardiovascular risk factors associated with hypertension we compared plasma insulin, leptin, and lipid profiles in male New Zealand White rabbits fed a normal fat diet (NFD 4.3% fat, n = 11) or high fat diet (HFD 13.4% fat, n = 13) at days 1, 2, 3 and weeks 1, 2, 3 of the diet. Plasma concentrations of diacylglyceride (DG), triacylglyceride (TG), ceramide and cholesteryl esters (CE) were obtained after analysis by liquid chromatography mass spectrometry. Plasma insulin and glucose increased within the first 3 days of the diet in HFD rabbits (P < 0.05) and remained elevated at week 1 (P < 0.05). Blood pressure and heart rate (HR) followed a similar pattern. By contrast, in both groups, plasma leptin levels remained unchanged during the first few days (P > 0.05), increasing by week 3 in fat fed animals alone (P < 0.05). Concentrations of total DG, TG, CE, and Ceramide at week 3 did not differ between groups (P > 0.05). Our data show plasma insulin increases rapidly following consumption of a HFD and suggests that it may play a role in the rapid rise of blood pressure. Dyslipidaemia does not appear to contribute to the hypertension in this animal model.
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Affiliation(s)
- Benjamin Barzel
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia ; Department of Anatomy and Developmental Biology, Monash University Melbourne, VIC, Australia
| | - Jacquelyn M Weir
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia
| | - Peter J Meikle
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia
| | - Sandra L Burke
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia
| | - James A Armitage
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia ; Department of Anatomy and Developmental Biology, Monash University Melbourne, VIC, Australia ; School of Medicine (Optometry), Deakin University Geelong, VIC, Australia
| | - Geoffrey A Head
- Neuropharmacology Laboratory, BakerIDI Heart and Diabetes Institute Melbourne, VIC, Australia ; Department of Pharmacology, Monash University Melbourne, VIC, Australia
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24
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Bellis C, Kulkarni H, Mamtani M, Kent JW, Wong G, Weir JM, Barlow CK, Diego V, Almeida M, Dyer TD, Göring HHH, Almasy L, Mahaney MC, Comuzzie AG, Williams-Blangero S, Meikle PJ, Blangero J, Curran JE. Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death. ACTA ACUST UNITED AC 2014; 7:854-863. [PMID: 25363705 DOI: 10.1161/circgenetics.114.000600] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [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: 12/21/2022]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the most common cause of death in the United States and is associated with a high economic burden. Prevention of CVD focuses on controlling or improving the lipid profile of patients at risk. The human lipidome is made up of thousands of ubiquitous lipid species. By studying biologically simple canonical lipid species, we investigated whether the lipidome is genetically redundant and whether its genetic influences can provide clinically relevant clues of CVD risk. METHODS AND RESULTS We performed a genetic study of the human lipidome in 1212 individuals from 42 extended Mexican American families. High-throughput mass spectrometry enabled rapid capture of precise lipidomic profiles, providing 319 unique species. Using variance component-based heritability analyses and bivariate trait analyses, we detected significant genetic influences on each lipid assayed. Median heritability of the plasma lipid species was 0.37. Hierarchical clustering based on complex genetic correlation patterns identified 12 genetic clusters that characterized the plasma lipidome. These genetic clusters were differentially but consistently associated with risk factors of CVD, including central obesity, obesity, type 2 diabetes mellitus, raised serum triglycerides, and metabolic syndrome. Also, these clusters consistently predicted occurrence of cardiovascular deaths during follow-up. CONCLUSIONS The human plasma lipidome is heritable. Shared genetic influences reduce the dimensionality of the human lipidome into clusters that are associated with risk factors of CVD.
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Affiliation(s)
- Claire Bellis
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Hemant Kulkarni
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Manju Mamtani
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Gerard Wong
- Baker IDI Heart and Diabetes Institute, Melbourne VIC, Australia
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Institute, Melbourne VIC, Australia
| | | | - Vincent Diego
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Marcio Almeida
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Thomas D Dyer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Harald H H Göring
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Michael C Mahaney
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Sarah Williams-Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX.,Southwest National Primate Research Center, San Antonio, TX
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne VIC, Australia
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Joanne E Curran
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
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25
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Ng TWK, Ooi EMM, Watts GF, Chan DC, Weir JM, Meikle PJ, Barrett PHR. Dose-dependent effects of rosuvastatin on the plasma sphingolipidome and phospholipidome in the metabolic syndrome. J Clin Endocrinol Metab 2014; 99:E2335-40. [PMID: 25140396 DOI: 10.1210/jc.2014-1665] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [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] [Indexed: 02/13/2023]
Abstract
CONTEXT Statins are effective cholesterol-lowering agents that reduce cardiovascular disease risk but also have pleiotropic effects that may extend to other lipid classes. OBJECTIVE The purpose of this article was to investigate, in a post hoc analysis, the dose-dependent effects of rosuvastatin on plasma sphingolipids and phospholipids in men with the metabolic syndrome. METHODS Subjects (n = 12) were studied in a randomized, double-blind, triple-crossover trial of a 5-week treatment period with placebo or rosuvastatin (10 or 40 mg/day) with 2-week washouts between treatments. Plasma sphingolipid profiling was determined by liquid chromatography electrospray ionization-tandem mass spectrometry. RESULTS Rosuvastatin at 10 mg/d (R10) and 40 mg/d (R40) significantly (all P < .001 unless stated otherwise) lowered plasma cholesterol (-34% and -42% [% change with R10 and with R40, respectively]), low-density lipoprotein cholesterol (-49% and -57%) and triglyceride (-24%, P =.03 and -42%) concentrations. Compared with placebo, R10 and R40 significantly decreased the plasma levels of total sphingolipids including those of ceramide (-33% and -37%), sphingomyelin (-27% and -31%), monohexosylceramide (-40% and -47%), dihexosylceramide (-31% and -34%), and trihexosylceramide (-29% and -31%), and GM3 gangliosides (-29% and -26%), lysophosphatidylcholine (-32% and -37%), alkylphosphatidylcholine (-19% and -19%), phosphatidylcholine (-17% and -19%), alkenylphosphatidylcholine (plasmalogen) (-20% and -22%), alkylphosphatidylethanolamine (-20%, P =.008 and -24%, P =.02), alkenylphosphatidylethanolamine (plasmalogen) (-24%, P =.003 and -23%, P =.007), phosphatidylglycerol (-24%, P =.07, -31%, P =.046), and phosphatidylinositol (-34% and -40%). No significant changes were found with phosphatidylethanolamine and phosphatidylserine. Significant dose effects were found with the majority of the plasma sphingolipids, whereas only phosphatidylcholine, lysophosphatidylcholine, alkylphosphatidylcholine, alkenylphosphatidylcholine (plasmalogen), and phosphatidylinositol had significant dose effects. Similar changes were found with plasma sphingolipids when results were normalized to the total phosphatidylcholine concentration. CONCLUSIONS Rosuvastatin dose-dependently lowers plasma sphingolipids and phospholipids, independent of low-density lipoprotein lowering, in men with the metabolic syndrome.
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Affiliation(s)
- Theodore W K Ng
- Metabolic Research Centre (T.W.K.N., E.M.M.O., G.F.W., D.C.C., P.H.R.B.), School of Medicine and Pharmacology, and Faculty of Engineering (P.H.R.B.), Computing and Mathematics, Perth, Western Australia, Australia; and Metabolomics Laboratory (T.W.K.N., J.M.W., P.J.M.), Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
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26
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Kulkarni H, Meikle PJ, Mamtani M, Weir JM, Almeida M, Diego V, Peralta JM, Barlow CK, Bellis C, Dyer TD, Almasy L, Mahaney MC, Comuzzie AG, Göring HHH, Curran JE, Blangero J. Plasma lipidome is independently associated with variability in metabolic syndrome in Mexican American families. J Lipid Res 2014; 55:939-46. [PMID: 24627127 DOI: 10.1194/jlr.m044065] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Plasma lipidome is now increasingly recognized as a potentially important marker of chronic diseases, but the exact extent of its contribution to the interindividual phenotypic variability in family studies is unknown. Here, we used the rich data from the ongoing San Antonio Family Heart Study (SAFHS) and developed a novel statistical approach to quantify the independent and additive value of the plasma lipidome in explaining metabolic syndrome (MS) variability in Mexican American families recruited in the SAFHS. Our analytical approach included two preprocessing steps: principal components analysis of the high-resolution plasma lipidomics data and construction of a subject-subject lipidomic similarity matrix. We then used the Sequential Oligogenic Linkage Analysis Routines software to model the complex family relationships, lipidomic similarities, and other important covariates in a variance components framework. Our results suggested that even after accounting for the shared genetic influences, indicators of lipemic status (total serum cholesterol, TGs, and HDL cholesterol), and obesity, the plasma lipidome independently explained 22% of variability in the homeostatic model of assessment-insulin resistance trait and 16% to 22% variability in glucose, insulin, and waist circumference. Our results demonstrate that plasma lipidomic studies can additively contribute to an understanding of the interindividual variability in MS.
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Affiliation(s)
- Hemant Kulkarni
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227
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Ellims AH, Wong G, Weir JM, Lew P, Meikle PJ, Taylor AJ. Plasma lipidomic analysis predicts non-calcified coronary artery plaque in asymptomatic patients at intermediate risk of coronary artery disease. Eur Heart J Cardiovasc Imaging 2014; 15:908-16. [PMID: 24618657 DOI: 10.1093/ehjci/jeu033] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [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] [Indexed: 12/22/2022] Open
Abstract
AIMS The optimal management of asymptomatic subjects at intermediate risk of coronary artery disease (CAD) is often uncertain. Re-stratification to a high- or low-risk category may enable optimization of preventative strategies. Coronary computed tomographic angiography (CCTA) enables a minimally invasive assessment of coronary artery plaque quantity and composition. Non-calcified plaque by CCTA is lipid-rich and more vulnerable to rupture and resultant acute coronary syndromes. The purpose of this study was to determine whether novel approaches to CAD risk stratification, such as plasma lipid profiling, may predict non-calcified plaque burden in intermediate risk subjects. METHODS AND RESULTS CCTA and several markers of CAD (including plasma lipid profiling, carotid intima-media thickness, aortic pulse wave velocity, and high-sensitivity C-reactive protein) were prospectively performed in 100 asymptomatic patients at intermediate CAD risk according to the Framingham risk score. Segment stenosis scores (SSS) were calculated to evaluate the burden of total, calcified, and non-calcified coronary artery plaque. Non-calcified plaque was observed in 66 subjects and 158 (11%) of 1425 coronary artery segments. Eighteen lipid species demonstrated significant associations with non-calcified plaque burden, but not with total plaque or calcified plaque burden. No other marker of CAD was found to predict coronary artery plaque burden. CONCLUSIONS Plasma lipidomic analysis can predict the burden of non-calcified coronary plaque in asymptomatic subjects at intermediate risk of CAD. Re-stratification of these patients by plasma lipid profiling may enable more appropriate and effective primary prevention management strategies.
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Affiliation(s)
- Andris H Ellims
- Heart Centre, Alfred Hospital, Commercial Road, Melbourne, VIC 3004, Australia Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Gerard Wong
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Jacquelyn M Weir
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Philip Lew
- Department of Radiology, Alfred Hospital, Melbourne, Australia
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Andrew J Taylor
- Heart Centre, Alfred Hospital, Commercial Road, Melbourne, VIC 3004, Australia Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
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Ellims AH, Wong G, Weir JM, Lew P, Meikle PJ, Taylor AJ. PM271 Plasma lipidomic analysis predicts soft coronary artery plaque in asymptomatic patients at intermediate risk of coronary artery disease. Glob Heart 2014. [DOI: 10.1016/j.gheart.2014.03.1634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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29
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Mamtani M, Meikle PJ, Kulkarni H, Weir JM, Barlow CK, Jowett JB, Bellis C, Dyer TD, Almasy L, Mahaney MC, Duggirala R, Comuzzie AG, Blangero J, Curran JE. Plasma dihydroceramide species associate with waist circumference in Mexican American families. Obesity (Silver Spring) 2014; 22:950-6. [PMID: 23929697 PMCID: PMC3918249 DOI: 10.1002/oby.20598] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [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: 04/17/2013] [Accepted: 08/03/2013] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Waist circumference (WC), the clinical marker of central obesity, is gaining popularity as a screening tool for type 2 diabetes (T2D). While there is epidemiologic evidence favoring the WC-T2D association, its biological substantiation is generally weak. Our objective was to determine the independent association of plasma lipid repertoire with WC. METHODS Samples and data from the San Antonio Family Heart Study of 1208 Mexican Americans from 42 extended families were used. Association of plasma lipidomic profiles with the cross-sectionally assessed WC was determined. Plasma lipidomic profiling entailed liquid chromatography with mass spectrometry. Statistical analyses included multivariable polygenic regression models and bivariate trait analyses using the SOLAR software. RESULTS After adjusting for age and sex interactions, body mass index, homeostasis model of assessment-insulin resistance, total cholesterol, triglycerides, high density lipoproteins and use of lipid lowering drugs, dihydroceramides as a class were associated with WC. Dihydroceramide species 18:0, 20:0, 22:0, and 24:1 were significantly associated and genetically correlated with WC. Two sphingomyelin species (31:1 and 41:1) were also associated with WC. CONCLUSIONS Plasma dihydroceramide levels independently associate with WC. Thus, high resolution plasma lipidomic studies can provide further credence to the biological underpinnings of the association of WC with T2D.
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Affiliation(s)
- Manju Mamtani
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Peter J. Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Hemant Kulkarni
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Jacquelyn M. Weir
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | | | - Jeremy B. Jowett
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Claire Bellis
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Thomas D. Dyer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Michael C. Mahaney
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | | | - Anthony G. Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Joanne E. Curran
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
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30
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Moxon JV, Liu D, Wong G, Weir JM, Behl-Gilhotra R, Bradshaw B, Kingwell BA, Meikle PJ, Golledge J. Comparison of the serum lipidome in patients with abdominal aortic aneurysm and peripheral artery disease. ACTA ACUST UNITED AC 2014; 7:71-9. [PMID: 24448739 DOI: 10.1161/circgenetics.113.000343] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Currently, the relationship between circulating lipids and abdominal aortic aneurysm (AAA) is unclear. We conducted a lipidomic analysis to identify serum lipids associated with AAA presence. Secondary analyses assessed the ability of models incorporating lipidomic features to improve stratification of patient groups with and without AAA beyond traditional risk factors. METHODS AND RESULTS Serum lipids were profiled via liquid chromatography tandem mass spectrometry analysis of serum from 161 patients with AAA and 168 controls with peripheral artery disease. Binary logistic regression was used to identify AAA-associated lipids. Classification models were created based on a combination of (1) traditional risk factors only or (2) lipidomic features and traditional risk factors. Model performance was assessed using receiver operator characteristic curves. Three diacylglycerols and 7 triacylglycerols were associated with AAA. Combining lipidomic features with traditional risk factors significantly improved stratification of AAA and peripheral artery disease groups when compared with traditional risk factors alone (mean area under the receiver operator characteristic curve [95% confidence interval], 0.760 [0.756-0.763] and 0.719 [0.716-0.723], respectively; P<0.05). CONCLUSIONS A group of linoleic acid containing triacylglycerols and diacylglycerols were significantly associated with AAA presence. Inclusion of lipidomic features in multivariate analyses significantly improved prediction of AAA presence when compared with traditional risk factors alone.
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Affiliation(s)
- Joseph V Moxon
- The Vascular Biology Unit, Queensland Research Centre for Peripheral Vascular Disease, James Cook University, Townsville, Queensland, Australia
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31
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Wong G, Barlow CK, Weir JM, Jowett JBM, Magliano DJ, Zimmet P, Shaw J, Meikle PJ. Inclusion of plasma lipid species improves classification of individuals at risk of type 2 diabetes. PLoS One 2013; 8:e76577. [PMID: 24116121 PMCID: PMC3792993 DOI: 10.1371/journal.pone.0076577] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [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: 04/30/2013] [Accepted: 08/23/2013] [Indexed: 11/24/2022] Open
Abstract
Background A significant proportion of individuals with diabetes or impaired glucose tolerance have fasting plasma glucose less than 6.1 mmol/L and so are not identified with fasting plasma glucose measurements. In this study, we sought to evaluate the utility of plasma lipids to improve on fasting plasma glucose and other standard risk factors for the identification of type 2 diabetes or those at increased risk (impaired glucose tolerance). Methods and Findings Our diabetes risk classification model was trained and cross-validated on a cohort 76 individuals with undiagnosed diabetes or impaired glucose tolerance and 170 gender and body mass index matched individuals with normal glucose tolerance, all with fasting plasma glucose less than 6.1 mmol/L. The inclusion of 21 individual plasma lipid species to triglycerides and HbA1c as predictors in the diabetes risk classification model resulted in a statistically significant gain in area under the receiver operator characteristic curve of 0.049 (p<0.001) and a net reclassification improvement of 10.5% (p<0.001). The gain in area under the curve and net reclassification improvement were subsequently validated on a separate cohort of 485 subjects. Conclusions Plasma lipid species can improve the performance of classification models based on standard lipid and non-lipid risk factors.
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Affiliation(s)
- Gerard Wong
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | | | | | | | | | - Paul Zimmet
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Jonathan Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Peter J. Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
- * E-mail:
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Boslem E, Weir JM, MacIntosh G, Sue N, Cantley J, Meikle PJ, Biden TJ. Alteration of endoplasmic reticulum lipid rafts contributes to lipotoxicity in pancreatic β-cells. J Biol Chem 2013; 288:26569-82. [PMID: 23897822 DOI: 10.1074/jbc.m113.489310] [Citation(s) in RCA: 92] [Impact Index Per Article: 8.4] [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: 01/19/2023] Open
Abstract
Chronic saturated fatty acid exposure causes β-cell apoptosis and, thus, contributes to type 2 diabetes. Although endoplasmic reticulum (ER) stress and reduced ER-to-Golgi protein trafficking have been implicated, the exact mechanisms whereby saturated fatty acids trigger β-cell death remain elusive. Using mass spectroscopic lipidomics and subcellular fractionation, we demonstrate that palmitate pretreatment of MIN6 β-cells promoted ER remodeling of both phospholipids and sphingolipids, but only the latter was causally linked to lipotoxic ER stress. Thus, overexpression of glucosylceramide synthase, previously shown to protect against defective protein trafficking and ER stress, partially reversed lipotoxic reductions in ER sphingomyelin (SM) content and aggregation of ER lipid rafts, as visualized using Erlin1-GFP. Using both lipidomics and a sterol response element reporter assay, we confirmed that free cholesterol in the ER was also reciprocally modulated by chronic palmitate and glucosylceramide synthase overexpression. This is consistent with the known coregulation and association of SM and free cholesterol in lipid rafts. Inhibition of SM hydrolysis partially protected against ATF4/C/EBP homology protein induction because of palmitate. Our results suggest that loss of SM in the ER is a key event for initiating β-cell lipotoxicity, which leads to disruption of ER lipid rafts, perturbation of protein trafficking, and initiation of ER stress.
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Affiliation(s)
- Ebru Boslem
- From the Diabetes and Obesity Program, Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, New South Wales 2010, Australia and
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Weir JM, Wong G, Barlow CK, Greeve MA, Kowalczyk A, Almasy L, Comuzzie AG, Mahaney MC, Jowett JBM, Shaw J, Curran JE, Blangero J, Meikle PJ. Plasma lipid profiling in a large population-based cohort. J Lipid Res 2013; 54:2898-908. [PMID: 23868910 DOI: 10.1194/jlr.p035808] [Citation(s) in RCA: 270] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
We have performed plasma lipid profiling using liquid chromatography electrospray ionization tandem mass spectrometry on a population cohort of more than 1,000 individuals. From 10 μl of plasma we were able to acquire comparative measures of 312 lipids across 23 lipid classes and subclasses including sphingolipids, phospholipids, glycerolipids, and cholesterol esters (CEs) in 20 min. Using linear and logistic regression, we identified statistically significant associations of lipid classes, subclasses, and individual lipid species with anthropometric and physiological measures. In addition to the expected associations of CEs and triacylglycerol with age, sex, and body mass index (BMI), ceramide was significantly higher in males and was independently associated with age and BMI. Associations were also observed for sphingomyelin with age but this lipid subclass was lower in males. Lysophospholipids were associated with age and higher in males, but showed a strong negative association with BMI. Many of these lipids have previously been associated with chronic diseases including cardiovascular disease and may mediate the interactions of age, sex, and obesity with disease risk.
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Kulkarni H, Meikle PJ, Mamtani M, Weir JM, Barlow CK, Jowett JB, Bellis C, Dyer TD, Johnson MP, Rainwater DL, Almasy L, Mahaney MC, Comuzzie AG, Blangero J, Curran JE. Plasma lipidomic profile signature of hypertension in Mexican American families: specific role of diacylglycerols. Hypertension 2013; 62:621-6. [PMID: 23798346 DOI: 10.1161/hypertensionaha.113.01396] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [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: 12/17/2022]
Abstract
Both as a component of metabolic syndrome and as an independent entity, hypertension poses a continued challenge with regard to its diagnosis, pathogenesis, and treatment. Previous studies have documented connections between hypertension and indicators of lipid metabolism. Novel technologies, such as plasma lipidomic profiling, promise a better understanding of disorders in which there is a derangement of the lipid metabolism. However, association of plasma lipidomic profiles with hypertension in a high-risk population, such as Mexican Americans, has not been evaluated before. Using the rich data and sample resource from the ongoing San Antonio Family Heart Study, we conducted plasma lipidomic profiling by combining high-performance liquid chromatography with tandem mass spectroscopy to characterize 319 lipid species in 1192 individuals from 42 large and extended Mexican American families. Robust statistical analyses using polygenic regression models, liability threshold models, and bivariate trait analyses implemented in the SOLAR software were conducted after accounting for obesity, insulin resistance, and relative abundance of various lipoprotein fractions. Diacylglycerols, in general, and the DG 16:0/22:5 and DG 16:0/22:6 lipid species, in particular, were significantly associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP), as well as liability of incident hypertension measured during 7140.17 person-years of follow-up. Four lipid species, including the DG 16:0/22:5 and DG 16:0/22:6 species, showed significant genetic correlations with the liability of hypertension in bivariate trait analyses. Our results demonstrate the value of plasma lipidomic profiling in the context of hypertension and identify disturbance of diacylglycerol metabolism as an independent biomarker of hypertension.
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Affiliation(s)
- Hemant Kulkarni
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78245, USA.
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35
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Linderborg KM, Kaur G, Miller E, Meikle PJ, Larsen AE, Weir JM, Nuora A, Barlow CK, Kallio HP, Cameron-Smith D, Sinclair AJ. Postprandial metabolism of docosapentaenoic acid (DPA, 22:5n-3) and eicosapentaenoic acid (EPA, 20:5n-3) in humans. Prostaglandins Leukot Essent Fatty Acids 2013; 88:313-9. [PMID: 23433939 DOI: 10.1016/j.plefa.2013.01.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [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: 10/24/2012] [Revised: 01/12/2013] [Accepted: 01/16/2013] [Indexed: 11/18/2022]
Abstract
The study of the metabolism of docosapentaenoic acid (DPA, 22:5n-3) in humans has been limited by the unavailability of pure DPA and the fact that DPA is found in combination with eicosapentaenoic acid (EPA, 20:5n-3) and docosahexaenoic acid (DHA, 22:6n-3) in natural products. In this double blind cross over study, pure DPA and EPA were incorporated in meals served to healthy female volunteers. Mass spectrometric methods were used to study the chylomicron lipidomics. Plasma chylomicronemia was significantly reduced after the meal containing DPA compared with the meal containing EPA or olive oil only. Both EPA and DPA were incorporated into chylomicron TAGs, while there was less incorporation into chylomicron phospholipids. Lipidomic analysis of the chylomicron TAGs revealed the dynamic nature of chylomicron TAGs. The main TAG species that EPA and DPA were incorporated into were EPA/18:1/18:1, DPA/18:1/16:0 and DPA/18:1/18:1. There was very limited conversion of DPA and EPA to DHA and there were no increases in EPA levels during the 5h postprandial period after the DPA meal. In conclusion, EPA and DPA showed different metabolic fates, and DPA hindered the digestion, ingestion or incorporation into chylomicrons of the olive oil present in the meal.
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Affiliation(s)
- Kaisa M Linderborg
- Department of Biochemistry and Food Chemistry, University of Turku, Turku 20014, Finland.
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36
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Kulkarni H, Meikle PJ, Mamtani M, Weir JM, Barlow CK, Jowett JB, Bellis C, Dyer TD, Johnson MP, Rainwater DL, Almasy L, Mahaney MC, Comuzzie AG, Blangero J, Curran JE. Variability in associations of phosphatidylcholine molecular species with metabolic syndrome in Mexican-American families. Lipids 2013; 48:497-503. [PMID: 23494580 DOI: 10.1007/s11745-013-3781-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2012] [Accepted: 02/19/2013] [Indexed: 12/14/2022]
Abstract
Plasma lipidomic studies using high performance liquid chromatography and mass spectroscopy offer detailed insights into metabolic processes. Taking the example of the most abundant plasma lipid class (phosphatidylcholines) we used the rich phenotypic and lipidomic data from the ongoing San Antonio Family Heart Study of large extended Mexican-American families to assess the variability of association of the plasma phosphatidylcholine species with metabolic syndrome. Using robust statistical analytical methods, our study made two important observations. First, there was a wide variability in the association of phosphatidylcholine species with risk measures of metabolic syndrome. Phosphatidylcholine 40:7 was associated with a low risk while phosphatidylcholines 32:1 and 38:3 were associated with a high risk of metabolic syndrome. Second, all the odd chain phosphatidylcholines were associated with a reduced risk of metabolic syndrome implying that phosphatidylcholines derived from dairy products might be beneficial against metabolic syndrome. Our results demonstrate the value of lipid species-specific information provided by the upcoming array of lipidomic studies and open potential avenues for prevention and control of metabolic syndrome in high prevalence settings.
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Affiliation(s)
- Hemant Kulkarni
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
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Chung RWS, Kamili A, Tandy S, Weir JM, Gaire R, Wong G, Meikle PJ, Cohn JS, Rye KA. Dietary sphingomyelin lowers hepatic lipid levels and inhibits intestinal cholesterol absorption in high-fat-fed mice. PLoS One 2013; 8:e55949. [PMID: 23409094 PMCID: PMC3567029 DOI: 10.1371/journal.pone.0055949] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [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: 08/07/2012] [Accepted: 01/04/2013] [Indexed: 01/15/2023] Open
Abstract
Controlling intestinal lipid absorption is an important strategy for maintaining lipid homeostasis. Accumulation of lipids in the liver is a major risk factor for metabolic syndrome and nonalcoholic fatty liver disease. It is well-known that sphingomyelin (SM) can inhibit intestinal cholesterol absorption. It is, however, unclear if dietary SM also lowers liver lipid levels. In the present study (i) the effect of pure dietary egg SM on hepatic lipid metabolism and intestinal cholesterol absorption was measured with [14C]cholesterol and [3H]sitostanol in male C57BL/6 mice fed a high-fat (HF) diet with or without 0.6% wt/wt SM for 18 days; and (ii) hepatic lipid levels and gene expression were determined in mice given a HF diet with or without egg SM (0.3, 0.6 or 1.2% wt/wt) for 4 weeks. Mice supplemented with SM (0.6% wt/wt) had significantly increased fecal lipid and cholesterol output and reduced hepatic [14C]cholesterol levels after 18 days. Relative to HF-fed mice, SM-supplemented HF-fed mice had significantly lower intestinal cholesterol absorption (−30%). Liver weight was significantly lower in the 1.2% wt/wt SM-supplemented mice (−18%). Total liver lipid (mg/organ) was significantly reduced in the SM-supplemented mice (−33% and −40% in 0.6% wt/wt and 1.2% wt/wt SM, respectively), as were triglyceride and cholesterol levels. The reduction in liver triglycerides was due to inactivation of the LXR-SREBP-1c pathway. In conclusion, dietary egg SM has pronounced hepatic lipid-lowering properties in mice maintained on an obesogenic diet.
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Affiliation(s)
- Rosanna W. S. Chung
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, New South Wales, Australia
- Lipid Research Group, Heart Research Institute, Sydney, New South Wales, Australia
| | - Alvin Kamili
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, New South Wales, Australia
| | - Sally Tandy
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, New South Wales, Australia
| | - Jacquelyn M. Weir
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Raj Gaire
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Gerard Wong
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jeffrey S. Cohn
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, New South Wales, Australia
| | - Kerry-Anne Rye
- Lipid Research Group, Heart Research Institute, Sydney, New South Wales, Australia
- Department of Medicine, University of Sydney, Sydney, New South Wales, Australia
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- * E-mail:
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38
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Bruce CR, Risis S, Babb JR, Yang C, Kowalski GM, Selathurai A, Lee-Young RS, Weir JM, Yoshioka K, Takuwa Y, Meikle PJ, Pitson SM, Febbraio MA. Overexpression of sphingosine kinase 1 prevents ceramide accumulation and ameliorates muscle insulin resistance in high-fat diet-fed mice. Diabetes 2012; 61:3148-55. [PMID: 22961081 PMCID: PMC3501880 DOI: 10.2337/db12-0029] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The sphingolipids sphingosine-1-phosphate (S1P) and ceramide are important bioactive lipids with many cellular effects. Intracellular ceramide accumulation causes insulin resistance, but sphingosine kinase 1 (SphK1) prevents ceramide accumulation, in part, by promoting its metabolism into S1P. Despite this, the role of SphK1 in regulating insulin action has been largely overlooked. Transgenic (Tg) mice that overexpress SphK1 were fed a standard chow or high-fat diet (HFD) for 6 weeks before undergoing several metabolic analyses. SphK1 Tg mice fed an HFD displayed increased SphK activity in skeletal muscle, which was associated with an attenuated intramuscular ceramide accumulation compared with wild-type (WT) littermates. This was associated with a concomitant reduction in the phosphorylation of c-jun amino-terminal kinase, a serine threonine kinase associated with insulin resistance. Accordingly, skeletal muscle and whole-body insulin sensitivity were improved in SphK1 Tg, compared with WT mice, when fed an HFD. We have identified that the enzyme SphK1 is an important regulator of lipid partitioning and insulin action in skeletal muscle under conditions of increased lipid supply.
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Affiliation(s)
- Clinton R. Bruce
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Physiology, Monash University, Clayton, Victoria, Australia
- Corresponding author: Mark A. Febbraio, , or Clinton R. Bruce,
| | - Steve Risis
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Joanne R. Babb
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Christine Yang
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Greg M. Kowalski
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Ahrathy Selathurai
- Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Robert S. Lee-Young
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jacquelyn M. Weir
- Lipidomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Yoh Takuwa
- Department of Physiology, Kanazawa University, Kanazawa, Japan
| | - Peter J. Meikle
- Lipidomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Stuart M. Pitson
- Molecular Signalling Laboratory, Centre for Cancer Biology, Adelaide, South Australia, Australia
| | - Mark A. Febbraio
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Corresponding author: Mark A. Febbraio, , or Clinton R. Bruce,
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Bonham MP, Linderborg KM, Dordevic A, Larsen AE, Nguo K, Weir JM, Gran P, Luotonen MK, Meikle PJ, Cameron-Smith D, Kallio HPT, Sinclair AJ. Lipidomic profiling of chylomicron triacylglycerols in response to high fat meals. Lipids 2012; 48:39-50. [PMID: 23124915 DOI: 10.1007/s11745-012-3735-5] [Citation(s) in RCA: 27] [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] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Accepted: 10/10/2012] [Indexed: 11/25/2022]
Abstract
Using lipidomic methodologies the impact that meal lipid composition and metabolic syndrome (MetS) exerts on the postprandial chylomicron triacylglycerol (TAG) response was examined. Males (9 control; 11 MetS) participated in a randomised crossover trial ingesting two high fat breakfast meals composed of either dairy-based foods or vegetable oil-based foods. The postprandial lipidomic molecular composition of the TAG in the chylomicron-rich (CM) fraction was analysed with tandem mass spectrometry coupled with liquid chromatography to profile CM TAG species and targeted TAG regioisomers. Postprandial CM TAG concentrations were significantly lower after the dairy-based foods compared with the vegetable oil-based foods for both control and MetS subjects. The CM TAG response to the ingested meals involved both significant and differential depletion of TAG species containing shorter- and medium-chain fatty acids (FA) and enrichment of TAG molecular species containing C16 and C18 saturated, monounsaturated and diunsaturated FA. Furthermore, there were significant changes in the TAG species between the food TAG and CM TAG and between the 3- and 5-h postprandial samples for the CM TAG regioisomers. Unexpectedly, the postprandial CM TAG concentration and CM TAG lipidomic responses did not differ between the control and MetS subjects. Lipidomic analysing of CM TAG molecular species revealed dynamic changes in the molecular species of CM TAG during the postprandial phase suggesting either preferential CM TAG species formation and/or clearance.
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Affiliation(s)
- Maxine P Bonham
- Department of Nutrition and Dietetics, Monash University, Notting Hill, VIC, Australia.
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Henstridge DC, Bruce CR, Pang CP, Lancaster GI, Allen TL, Estevez E, Gardner T, Weir JM, Meikle PJ, Lam KSL, Xu A, Fujii N, Goodyear LJ, Febbraio MA. Skeletal muscle-specific overproduction of constitutively activated c-Jun N-terminal kinase (JNK) induces insulin resistance in mice. Diabetologia 2012; 55:2769-2778. [PMID: 22832498 PMCID: PMC3590919 DOI: 10.1007/s00125-012-2652-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [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] [Received: 04/04/2012] [Accepted: 06/18/2012] [Indexed: 01/24/2023]
Abstract
AIMS/HYPOTHESIS Although skeletal muscle insulin resistance has been associated with activation of c-Jun N-terminal kinase (JNK), whether increased JNK activity causes insulin resistance in this organ is not clear. In this study we examined the metabolic consequences of isolated JNK phosphorylation in muscle tissue. METHODS Plasmids containing genes encoding a wild-type JNK1 (WT-JNK) or a JNK1/JNKK2 fusion protein (rendering JNK constitutively active; CA-Jnk) were electroporated into one tibialis anterior (TA) muscle of C57Bl/6 mice, with the contralateral TA injected with an empty vector (CON) to serve as a within-animal control. RESULTS Overproduction of WT-JNK resulted in a modest (~25%) increase in phosphorylation (Thr(183)/Tyr(185)) of JNK, but no differences were observed in Ser(307) phosphorylation of insulin receptor substrate 1 (IRS-1) or total IRS-1 protein, nor in insulin-stimulated glucose clearance into the TA muscle when comparing WT-JNK with CON. By contrast, overexpression of CA-Jnk, which markedly increased the phosphorylation of CA-JNK, also increased serine phosphorylation of IRS-1, markedly decreased total IRS-1 protein, and decreased insulin-stimulated phosphorylation of the insulin receptor (Tyr(1361)) and phosphorylation of Akt at (Ser(473) and Thr(308)) compared with CON. Moreover, overexpression of CA-Jnk decreased insulin-stimulated glucose clearance into the TA muscle compared with CON and these effects were observed without changes in intramuscular lipid species. CONCLUSIONS/INTERPRETATION Constitutive activation of JNK in skeletal muscle impairs insulin signalling at the level of IRS-1 and Akt, a process which results in the disruption of normal glucose clearance into the muscle.
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Affiliation(s)
- D C Henstridge
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - C R Bruce
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
- Department of Physiology, Monash University, Clayton, VIC, Australia
| | - C P Pang
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - G I Lancaster
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - T L Allen
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - E Estevez
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - T Gardner
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - J M Weir
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - P J Meikle
- Metabolomics Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - K S L Lam
- Department of Medicine and Research Center for Heart, Brain, Hormones, and Healthy Aging, University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - A Xu
- Department of Medicine and Research Center for Heart, Brain, Hormones, and Healthy Aging, University of Hong Kong, Hong Kong, SAR, People's Republic of China
| | - N Fujii
- Department of Health Promotion Science, Tokyo Metropolitan University, Hachioji, Tokyo, Japan
| | | | - M A Febbraio
- Cellular and Molecular Metabolism Laboratory, Baker IDI Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, VIC, 3004, Australia.
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Meikle PJ, Wong G, Tsorotes D, Barlow CK, Weir JM, Christopher MJ, MacIntosh GL, Goudey B, Stern L, Kowalczyk A, Haviv I, White AJ, Dart AM, Duffy SJ, Jennings GL, Kingwell BA. Plasma lipidomic analysis of stable and unstable coronary artery disease. Arterioscler Thromb Vasc Biol 2012; 31:2723-32. [PMID: 21903946 DOI: 10.1161/atvbaha.111.234096] [Citation(s) in RCA: 230] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Traditional risk factors for coronary artery disease (CAD) fail to adequately distinguish patients who have atherosclerotic plaques susceptible to instability from those who have more benign forms. Using plasma lipid profiling, this study aimed to provide insight into disease pathogenesis and evaluate the potential of lipid profiles to assess risk of future plaque instability. METHODS AND RESULTS Plasma lipid profiles containing 305 lipids were measured on 220 individuals (matched healthy controls, n=80; stable angina, n=60; unstable coronary syndrome, n=80) using electrospray-ionisation tandem mass spectrometry. ReliefF feature selection coupled with an L2-regularized logistic regression based classifier was used to create multivariate classification models which were verified via 3-fold cross-validation (1000 repeats). Models incorporating both lipids and traditional risk factors provided improved classification of unstable CAD from stable CAD (C-statistic=0.875, 95% CI 0.874-0.877) compared with models containing only traditional risk factors (C-statistic=0.796, 95% CI 0.795-0.798). Many of the lipids identified as discriminatory for unstable CAD displayed an association with disease acuity (severity), suggesting that they are antecedents to the onset of acute coronary syndrome. CONCLUSION Plasma lipid profiling may contribute to a new approach to risk stratification for unstable CAD.
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Affiliation(s)
- Peter J Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
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Drew BG, Carey AL, Natoli AK, Formosa MF, Vizi D, Reddy-Luthmoodoo M, Weir JM, Barlow CK, van Hall G, Meikle PJ, Duffy SJ, Kingwell BA. Reconstituted high-density lipoprotein infusion modulates fatty acid metabolism in patients with type 2 diabetes mellitus. J Lipid Res 2011; 52:572-81. [PMID: 21224289 DOI: 10.1194/jlr.p012518] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
We recently demonstrated that reconstituted high-density lipoprotein (rHDL) modulates glucose metabolism in humans via both AMP-activated protein kinase (AMPK) in muscle and by increasing plasma insulin. Given the key roles of both AMPK and insulin in fatty acid metabolism, the current study investigated the effect of rHDL infusion on fatty acid oxidation and lipolysis. Thirteen patients with type 2 diabetes received separate infusions of rHDL and placebo in a randomized, cross-over study. Fatty acid metabolism was assessed using steady-state tracer methodology, and plasma lipids were measured by mass spectrometry (lipidomics). In vitro studies were undertaken in 3T3-L1 adipocytes. rHDL infusion inhibited fasting-induced lipolysis (P = 0.03), fatty acid oxidation (P < 0.01), and circulating glycerol (P = 0.04). In vitro, HDL inhibited adipocyte lipolysis in part via activation of AMPK, providing a possible mechanistic link for the apparent reductions in lipolysis observed in vivo. In contrast, circulating NEFA increased after rHDL infusion (P < 0.01). Lipidomic analyses implicated phospholipase hydrolysis of rHDL-associated phosphatidylcholine as the cause, rather than lipolysis of endogenous fat stores. rHDL infusion inhibits fasting-induced lipolysis and oxidation in patients with type 2 diabetes, potentially through both AMPK activation in adipose tissue and elevation of plasma insulin. The phospholipid component of rHDL also has the potentially undesirable effect of increasing circulating NEFA.
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Affiliation(s)
- Brian G Drew
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
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43
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Kamili A, Wat E, Chung RW, Tandy S, Weir JM, Meikle PJ, Cohn JS. Hepatic accumulation of intestinal cholesterol is decreased and fecal cholesterol excretion is increased in mice fed a high-fat diet supplemented with milk phospholipids. Nutr Metab (Lond) 2010; 7:90. [PMID: 21194424 PMCID: PMC3024280 DOI: 10.1186/1743-7075-7-90] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2010] [Accepted: 12/31/2010] [Indexed: 12/02/2022] Open
Abstract
Background Milk phospholipids (PLs) reduce liver lipid levels when given as a dietary supplement to mice fed a high-fat diet. We have speculated that this might be due to reduced intestinal cholesterol uptake. Methods Mice were given a high-fat diet for 3 or 5 weeks that had no added PL or that were supplemented with 1.2% by wt PL from cow's milk. Two milk PL preparations were investigated: a) a PL-rich dairy milk extract (PLRDME), and b) a commercially-available milk PL concentrate (PC-700). Intestinal cholesterol uptake was assessed by measuring fecal and hepatic radioactivity after intragastric administration of [14C]cholesterol and [3H]sitostanol. Fecal and hepatic lipids were measured enzymatically and by ESI-MS/MS. Results Both PL preparations led to significant decreases in total liver cholesterol and triglyceride (-20% to -60%, P < 0.05). Hepatic accumulation of intragastrically-administered [14C]cholesterol was significantly less (-30% to -60%, P < 0.05) and fecal excretion of [14C]cholesterol and unlabeled cholesterol was significantly higher in PL-supplemented mice (+15% to +30%, P < 0.05). Liver cholesterol and triglyceride levels were positively correlated with hepatic accumulation of intragastrically-administered [14C]cholesterol (P < 0.001) and negatively correlated with fecal excretion of [14C]cholesterol (P < 0.05). Increased PL and ceramide levels in the diet of mice supplemented with milk PL were associated with significantly higher levels of fecal PL and ceramide excretion, but reduced levels of hepatic PL and ceramide, specifically, phosphatidylcholine (-21%, P < 0.05) and monohexosylceramide (-33%, P < 0.01). Conclusion These results indicate that milk PL extracts reduce hepatic accumulation of intestinal cholesterol and increase fecal cholesterol excretion when given to mice fed a high-fat diet.
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Affiliation(s)
- Alvin Kamili
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, Australia.
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Tandy S, Chung RWS, Kamili A, Wat E, Weir JM, Meikle PJ, Cohn JS. Hydrogenated phosphatidylcholine supplementation reduces hepatic lipid levels in mice fed a high-fat diet. Atherosclerosis 2010; 213:142-7. [PMID: 20832797 DOI: 10.1016/j.atherosclerosis.2010.07.050] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2010] [Revised: 07/19/2010] [Accepted: 07/25/2010] [Indexed: 01/17/2023]
Abstract
The ability of the fatty acid composition of dietary phosphatidylcholine (PC) to affect hepatic lipid levels was investigated in C57BL/6 mice (n=8-10 per group) by feeding: (1) a high-fat semi-purified diet (HF), (2) HF diet supplemented with 1.25 wt% soy PC (SPC), (3) HF with 1.25 wt% hydrogenated soy PC (SPCH), (4) HF with 1.25 wt% egg PC (EPC), and (5) HF with 1.25 wt% hydrogenated egg PC (EPCH). The polyunsaturated fatty acid content (C18:2+C18:3+C20:4) of soy, egg and hydrogenated PC was 70%, 20% and 0%, respectively. Total liver lipid was significantly lower in SPCH and EPCH vs. HF (8.7 ± 0.1 and 8.5 ± 0.5 vs. 11.8 ± 0.6g/100, P<0.05), but not in SPC or EPC. SPCH and EPCH had significantly lower levels of hepatic cholesterol (-52% and -53% vs. HF, respectively). Bioactive lipids (i.e., sphingomyelin and ceramide) were also lower in the liver of SPCH and EPCH rather than in SPC or EPC. Hepatic expression of genes controlling fatty acid synthesis and catabolism were not significantly affected by dietary PC. However, hepatic expression of HMGCR, LDLR and SREBP2 was higher and that of ABCA1, ABCG5 and ABCG8 was reduced in SPCH and EPCH vs. HF. These results demonstrate that hydrogenated PC supplementation reduces hepatic lipid levels in mice fed a high-fat diet supporting the concept that the ability of dietary PC to lower hepatic lipid levels is not due to its content of polyunsaturated fatty acids.
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Affiliation(s)
- Sally Tandy
- Nutrition and Metabolism Group, Heart Research Institute, Sydney, Australia
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Abstract
1. A virus capable of producing pulmonary consolidation in the wild mongoose (Herpestes griseus) has been isolated from throat washings obtained from four patients with a clinical syndrome termed acute pneumonitis. 2. The virus was not pathogenic for ferrets, mice, guinea pigs, rabbits, monkeys, voles, hamsters, deer mice, skunks, opossums, or woodchucks. 3. The virus was filterable through Berkefeld V and N candles, was not inactivated by glycerin or by freezing and drying in vacuum, and was propagated for at least 30 serial passages on the chorio-allantoic membrane of the developing chick embryo. 4. Normal mongooses placed in contact with infected mongooses developed pulmonary consolidation. 5. The virus was neutralized by the serum of mongooses convalescent from the infection but was not neutralized by normal mongoose serum. 6. Serum of human beings convalescent from acute pneumonitis also neutralized the virus, but serum obtained from the same individuals during the acute phase of the disease failed to do so. 7. The evidence so far obtained strongly suggests that this virus is the cause of acute pneumonitis in human beings. It differs from other viruses known to cause infections of the respiratory tract in man.
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Affiliation(s)
- J M Weir
- Laboratories of the International Health Division of The Rockefeller Foundation, New York
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Ronzoni G, De Giovanni L, Weir JM, Pasqui F, Menchinelli P. Transposing the urethral meatus in the treatment of recurrent and postcoital cystitis in women with hypospadias. BJU Int 2001; 87:894-6. [PMID: 11412233 DOI: 10.1046/j.1464-410x.2001.01903.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- G Ronzoni
- Department of Urology, Urosurgical Unit, Catholic University of the Sacred Heart, Rome, Italy.
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Lacquaniti S, Fulcoli V, Weir JM, Pisanti F, Servello C, Destito A. Bacterial prostatitis: urine and spermatic fluid culture. Arch Ital Urol Androl 2000; 72:21-3. [PMID: 10875162] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
To evaluate in a prospective study the sensitivity of urine and spermatic fluid cultures in identifying the presence of infection compared to Meares-Stamey's test (MSt) results. Fourty patients were diagnosed having bacterial prostatitis following MSt. They underwent both urine and spermatic fluid cultures after MSt results and immediately before antibiotic treatment. All the patients were asked which of the three examens was the least tolerable. Urine and spermatic fluid culture were negative in 36 and 4 cases respectively. Spermatic fluid culture identified infection in 36 out of 40 patients who underwent MSt (90%) and was more acceptable for the patients. Urine culture is a less accurate way of identifying the infective agent in prostatitis, compared to spermatic fluid culture. The latter procedure is similar to the MSt.
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Affiliation(s)
- S Lacquaniti
- Department of Urology, Catholic University of Sacro Cuore, Policlinico A. Gemelli, Rome, Italy.
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Lacquaniti S, Destito A, Servello C, Candidi MO, Weir JM, Brisinda G, Alcini E. Terazosine and tamsulosin in non bacterial prostatitis: a randomized placebo-controlled study. Arch Ital Urol Androl 1999; 71:283-5. [PMID: 10673791 DOI: pmid/10673791] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Eighteen patients with inflammatory process of the prostate met criteria for the inclusion in the study: 1) non bacterial prostatitis; 2) no previous treatment. Then they were randomized into three groups as it follows: terazosine, tamsulosin and placebo. Alpha-blockers and placebo were given for two months, after which further uroflowmetry was performed. Symptom score was evaluated before and after treatment. Terazosine was effective in reducing TO (p = 0.01) as tamsulosin and placebo did not. Both terazosine (p = 0.034) and tamsulosin (p = 0.006) reduced max TQ as placebo did not. Symptom score significantly improved in patients receiving terazosine (p = 0.0002) and tamsulosin (p = 0.001) while insignificantly in whose receiving placebo.
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Affiliation(s)
- S Lacquaniti
- Department of Urology, Catholic University of S. Cuore, Rome, Italy.
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49
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Menchinelli P, De Giovanni L, Belli P, Manasia P, Weir JM, Ronzoni G. Unilateral testicular microlithiasis. Arch Ital Urol Androl 1999; 71:199-200. [PMID: 10431413] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2023] Open
Abstract
Testicular microlithiasis is a rare pathology which usually affects both testicles (less than 100 cases have been described in the literature), histologically characterized by numerous calcified deposits situated inside the seminiferous tubules, the diameter of which does not usually exceed 2 mm. The pathogenesis of the phenomenon is not completely clear; it has however been noted that there is a higher incidence in patients affected by cryptorchidism, subfertility, Klinefelter's syndrome and in particular those with testicular neoplasms, although the reason for this remains obscure. The case reported seems atypical in that there is no association with the conditions mentioned above and the finding is monolateral, something which is unusual in the literature reviewed.
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Affiliation(s)
- P Menchinelli
- Unità di Urochirurgia, Università Cattolica del Sacro Cuore, Policlinico A. Gemelli, Roma, Italia
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Lacquaniti S, Destito A, Candidi MO, Petrone D, Weir JM, Servello C, Pisanti F, Alcini E. Two atypical cases of renal leiomyosarcoma: clinical picture, diagnosis and therapy. Arch Ital Urol Androl 1998; 70:199-201. [PMID: 9823669] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
The Authors report two cases of renal leiomyosarcomas with atypical clinical features. Despite a malignant histological picture, nephron-sparing surgery was performed. The two patients are alive and disease-free at six years and fifteen months respectively. Specific radiologic findings, indications and rationale for conservative treatment are discussed.
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Affiliation(s)
- S Lacquaniti
- Department of Urology, Catholic University of Sacro Cuore, Rome, Italy
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