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Serna MF, Suarez-Ortegón MF, Jiménez-Charris E, Echeverri I, Cala MP, Mosquera M. Lipidomic signatures in Colombian adults with metabolic syndrome. J Diabetes Metab Disord 2024; 23:1279-1292. [PMID: 38932852 PMCID: PMC11196482 DOI: 10.1007/s40200-024-01423-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/16/2024] [Indexed: 06/28/2024]
Abstract
Background and Aims Metabolic syndrome (MetS) comprises a set of risk factors that contribute to the development of chronic and cardiovascular diseases, increasing the mortality rate. Altered lipid metabolism is associated with the development of metabolic disorders such as insulin resistance, obesity, atherosclerosis, and metabolic syndrome; however, there is a lack of knowledge about lipids compounds and the lipidic pathways associated with this condition, particularly in the Latin-American population. Innovative approaches, such as lipidomic analysis, facilitate the identification of lipid species related to these risk factors. This study aimed to assess the plasma lipidome in subjects with MetS. Methods This correlation study included healthy adults and adults with MetS. Blood samples were analyzed. The lipidomic profile was determined using an Agilent Technologies 1260 liquid chromatography system coupled to a Q-TOF 6545 quadrupole mass analyzer with electrospray ionization. The main differences were determined between the groups. Results The analyses reveal a distinct lipidomic profile between healthy adults and those with MetS, including increased concentrations of most identified glycerolipids -both triglycerides and diglycerides- and decreased levels of ether lipids and sphingolipids, especially sphingomyelins, in MetS subjects. Association between high triglycerides, waist circumference, and most differentially expressed lipids were found. Conclusion Our results demonstrate dysregulation of lipid metabolism in subjects with Mets, supporting the potential utility of plasma lipidome analysis for a deeper understanding of MetS pathophysiology. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01423-5.
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Affiliation(s)
- María Fernanda Serna
- Grupo de Nutrición, Departamento de Ciencias Fisiológicas, Facultad de Salud, Universidad del Valle, Calle 4B #36-00 Cali, Colombia
| | - Milton Fabián Suarez-Ortegón
- Departamento de Alimentación y Nutrición, Facultad de Ciencias de La Salud, Pontificia Universidad Javeriana Seccional Cali, Colombia. Cl. 18 #118-250, Barrio Pance, 760031 Cali, Valle del Cauca Colombia
| | - Eliécer Jiménez-Charris
- Grupo de Nutrición, Departamento de Ciencias Fisiológicas, Facultad de Salud, Universidad del Valle, Calle 4B #36-00 Cali, Colombia
| | | | - Mónica P. Cala
- Metabolomics Core Facility-MetCore, Vice Presidency for Research, Universidad de los Andes, Carrera 1, #18A-12 Bogotá, Colombia
| | - Mildrey Mosquera
- Grupo de Nutrición, Departamento de Ciencias Fisiológicas, Facultad de Salud, Universidad del Valle, Calle 4B #36-00 Cali, Colombia
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2
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Leandro AC, Michael LF, Almeida M, Kuokkanen M, Huynh K, Giles C, Duong T, Diego VP, Duggirala R, Clarke GD, Blangero J, Meikle PJ, Curran JE. Influence of the Human Lipidome on Epicardial Fat Volume in Mexican American Individuals. Front Cardiovasc Med 2022; 9:889985. [PMID: 35734277 PMCID: PMC9207321 DOI: 10.3389/fcvm.2022.889985] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Cardiovascular disease (CVD) is the leading cause of mortality worldwide and is the leading cause of death in the US. Lipid dysregulation is a well-known precursor to metabolic diseases, including CVD. There is a growing body of literature that suggests MRI-derived epicardial fat volume, or epicardial adipose tissue (EAT) volume, is linked to the development of coronary artery disease. Interestingly, epicardial fat is also actively involved in lipid and energy homeostasis, with epicardial adipose tissue having a greater capacity for release and uptake of free fatty acids. However, there is a scarcity of knowledge on the influence of plasma lipids on EAT volume. Aim The focus of this study is on the identification of novel lipidomic species associated with CMRI-derived measures of epicardial fat in Mexican American individuals. Methods We performed lipidomic profiling on 200 Mexican American individuals. High-throughput mass spectrometry enabled rapid capture of precise lipidomic profiles, providing measures of 799 unique species from circulating plasma samples. Because of our extended pedigree design, we utilized a standard quantitative genetic linear mixed model analysis to determine whether lipids were correlated with EAT by formally testing for association between each lipid species and the CMRI epicardial fat phenotype. Results After correction for multiple testing using the FDR approach, we identified 135 lipid species showing significant association with epicardial fat. Of those, 131 lipid species were positively correlated with EAT, where increased circulating lipid levels were correlated with increased epicardial fat. Interestingly, the top 10 lipid species associated with an increased epicardial fat volume were from the deoxyceramide (Cer(m)) and triacylglycerol (TG) families. Deoxyceramides are atypical and neurotoxic sphingolipids. Triacylglycerols are an abundant lipid class and comprise the bulk of storage fat in tissues. Pathologically elevated TG and Cer(m) levels are related to CVD risk and, in our study, to EAT volume. Conclusion Our results indicate that specific lipid abnormalities such as enriched saturated triacylglycerols and the presence of toxic ceramides Cer(m) in plasma of our individuals could precede CVD with increased EAT volume.
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Affiliation(s)
- Ana Cristina Leandro
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | | | - Marcio Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Mikko Kuokkanen
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Thy Duong
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Vincent P. Diego
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Geoffrey D. Clarke
- Department of Radiology and Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
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3
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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] [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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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: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [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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5
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Cox LA, Olivier M, Spradling-Reeves K, Karere GM, Comuzzie AG, VandeBerg JL. Nonhuman Primates and Translational Research-Cardiovascular Disease. ILAR J 2018; 58:235-250. [PMID: 28985395 DOI: 10.1093/ilar/ilx025] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Indexed: 12/18/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the United States. Human epidemiological studies provide challenges for understanding mechanisms that regulate initiation and progression of CVD due to variation in lifestyle, diet, and other environmental factors. Studies describing metabolic and physiologic aspects of CVD, and those investigating genetic and epigenetic mechanisms influencing CVD initiation and progression, have been conducted in multiple Old World nonhuman primate (NHP) species. Major advantages of NHPs as models for understanding CVD are their genetic, metabolic, and physiologic similarities with humans, and the ability to control diet, environment, and breeding. These NHP species are also genetically and phenotypically heterogeneous, providing opportunities to study gene by environment interactions that are not feasible in inbred animal models. Each Old World NHP species included in this review brings unique strengths as models to better understand human CVD. All develop CVD without genetic manipulation providing multiple models to discover genetic variants that influence CVD risk. In addition, as each of these NHP species age, their age-related comorbidities such as dyslipidemia and diabetes are accelerated proportionally 3 to 4 times faster than in humans.In this review, we discuss current CVD-related research in NHPs focusing on selected aspects of CVD for which nonprimate model organism studies have left gaps in our understanding of human disease. We include studies on current knowledge of genetics, epigenetics, calorie restriction, maternal calorie restriction and offspring health, maternal obesity and offspring health, nonalcoholic steatohepatitis and steatosis, Chagas disease, microbiome, stem cells, and prevention of CVD.
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Affiliation(s)
- Laura A Cox
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas.,Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas
| | - Michael Olivier
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas.,Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas
| | | | - Genesio M Karere
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas
| | - John L VandeBerg
- South Texas Diabetes and Obesity Center, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, Texas
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6
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Plasma lipid profiling of tissue-specific insulin resistance in human obesity. Int J Obes (Lond) 2018; 43:989-998. [PMID: 30242234 DOI: 10.1038/s41366-018-0189-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 06/25/2018] [Accepted: 07/22/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND/OBJECTIVES Obesity-associated insulin resistance (IR) may develop in multiple organs, representing different aetiologies towards cardiometabolic diseases. This study aimed to identify distinct plasma lipid profiles in overweight/obese individuals who show muscle-IR and/or liver-IR. SUBJECTS/METHODS Baseline data of the European multicenter DiOGenes project were used (n = 640; 401 women, nondiabetic BMI: 27-45 kg/m2). Muscle insulin sensitivity index (MISI) and hepatic insulin resistance index (HIRI) were derived from a 5-point oral glucose tolerance test. The 140 plasma lipids were quantified by liquid chromatography-mass spectrometry. Linear mixed models were used to evaluate associations between MISI, HIRI and plasma lipids. RESULTS MISI was comparable between sexes while HIRI and triacylglycerol (TAG) levels were lower in women than in men. MISI was associated with higher lysophosphatidylcholine (LPC) levels (standardized (std)β = 0.126; FDR-p = 0.032). Sex interactions were observed for associations between HIRI, TAG and diacylglycerol (DAG) lipid classes. In women, but not in men, HIRI was associated with higher levels of TAG (44 out of 55 species) and both DAG species (stdβ: 0.139-0.313; FDR-p < 0.05), a lower odd-chain/even-chain TAG ratio (stdβ = -0.182; FDR-p = 0.005) and a lower very-long-chain/long-chain TAG ratio (stdβ = -0.156; FDR-p = 0.037). CONCLUSIONS In overweight/obese individuals, muscle insulin sensitivity is associated with higher plasma LPC concentrations. Women have less hepatic IR and lower TAG than men. Nevertheless, hepatic IR is associated with higher plasma TAG and DAG concentrations and a lower abundance of odd-chain and very-long-chain TAG in women, but not in men. This suggests a more pronounced worsening of plasma lipid profile in women with the progression of hepatic IR.
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7
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Musso G, Cassader M, Paschetta E, Gambino R. Bioactive Lipid Species and Metabolic Pathways in Progression and Resolution of Nonalcoholic Steatohepatitis. Gastroenterology 2018; 155:282-302.e8. [PMID: 29906416 DOI: 10.1053/j.gastro.2018.06.031] [Citation(s) in RCA: 204] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 05/30/2018] [Accepted: 06/01/2018] [Indexed: 02/06/2023]
Abstract
The prevalence of nonalcoholic steatohepatitis (NASH) is increasing worldwide, yet there are no effective treatments. A decade has passed since the initial lipidomics analyses of liver tissues from patients with nonalcoholic fatty liver disease. We have learned that liver cells from patients with NASH have an abnormal lipid composition and that the accumulation of lipids leads to organelle dysfunction, cell injury and death, and chronic inflammation, called lipotoxicity. We review the lipid species and metabolic pathways that contribute to the pathogenesis of NASH and potential therapeutic targets, including enzymes involved in fatty acid and triglyceride synthesis, bioactive sphingolipids and polyunsaturated-derived eicosanoids, and specialized pro-resolving lipid mediators. We discuss the concept that NASH is a disease that can resolve and the roles of lipid molecules in the resolution of inflammation and regression of fibrosis.
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Affiliation(s)
| | - Maurizio Cassader
- Department of Medical Sciences, San Giovanni Battista Hospital, University of Turin, Turin, Italy
| | | | - Roberto Gambino
- Department of Medical Sciences, San Giovanni Battista Hospital, University of Turin, Turin, Italy
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8
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Hancock-Cerutti W, Lhomme M, Dauteuille C, Lecocq S, Chapman MJ, Rader DJ, Kontush A, Cuchel M. Paradoxical coronary artery disease in humans with hyperalphalipoproteinemia is associated with distinct differences in the high-density lipoprotein phosphosphingolipidome. J Clin Lipidol 2017; 11:1192-1200.e3. [PMID: 28826666 PMCID: PMC10455038 DOI: 10.1016/j.jacl.2017.06.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 06/16/2017] [Accepted: 06/25/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND Plasma high-density lipoprotein cholesterol (HDL-C) levels are inversely associated with risk of coronary artery disease (CAD) in epidemiologic studies. Despite this, the directionality of this relationship and the underlying biology behind it remain to be firmly established, especially at the extremes of HDL-C levels. OBJECTIVE We investigated differences in the HDL phosphosphingolipidome in a rare population of subjects with premature CAD despite high HDL-C levels to gain insight into the association between the HDL lipidome and CAD disease status in this unusual phenotype. We sought to assess differences in HDL composition that are associated with CAD in subjects with HDL-C >90th percentile. We predicted that quantitative lipidomic analysis of HDL particles would reveal novel differences between CAD patients and healthy subjects with matched HDL-C levels. METHODS We collected plasma samples from 25 subjects with HDL-C >90th percentile and clinically manifest CAD and healthy controls with HDL-C >90th percentile and without self-reported CAD. More than 140 individual HDL phospholipid and sphingolipid species were analyzed by LC/MS/MS. RESULTS Significant reductions in HDL phosphatidylcholine (-2.41%, Q value = 0.025) and phosphatidylinositol (-10.7%, Q value = 0.047) content, as well as elevated sphingomyelin (+10.0%, Q value = 0.025) content, and sphingomyelin/phosphatidylcholine ratio (+12.8%, P value = .005) were associated with CAD status in subjects with high HDL-C. CONCLUSIONS These differences may lay the groundwork for further analysis of the relationship between the HDL lipidome and disease states, as well as for the development of biomarkers of CAD status and HDL function.
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Affiliation(s)
- William Hancock-Cerutti
- National Institute for Health and Medical Reserch (INSERM), Research Unit 1166 ICAN, Paris, France; University of Pierre and Marie Curie - Paris 6, Paris, France; AP-HP, Groupe Hospitalier Pitié Salpétrière, Paris, France; ICAN Analytics, ICAN Institute, Paris, France; Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marie Lhomme
- ICANalytics, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
| | - Carolane Dauteuille
- National Institute for Health and Medical Reserch (INSERM), Research Unit 1166 ICAN, Paris, France; University of Pierre and Marie Curie - Paris 6, Paris, France; AP-HP, Groupe Hospitalier Pitié Salpétrière, Paris, France; ICAN Analytics, ICAN Institute, Paris, France
| | - Sora Lecocq
- National Institute for Health and Medical Reserch (INSERM), Research Unit 1166 ICAN, Paris, France; University of Pierre and Marie Curie - Paris 6, Paris, France; AP-HP, Groupe Hospitalier Pitié Salpétrière, Paris, France; ICAN Analytics, ICAN Institute, Paris, France
| | - M John Chapman
- National Institute for Health and Medical Reserch (INSERM), Research Unit 1166 ICAN, Paris, France; University of Pierre and Marie Curie - Paris 6, Paris, France; AP-HP, Groupe Hospitalier Pitié Salpétrière, Paris, France; ICAN Analytics, ICAN Institute, Paris, France
| | - Daniel J Rader
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anatol Kontush
- National Institute for Health and Medical Reserch (INSERM), Research Unit 1166 ICAN, Paris, France; University of Pierre and Marie Curie - Paris 6, Paris, France; AP-HP, Groupe Hospitalier Pitié Salpétrière, Paris, France; ICAN Analytics, ICAN Institute, Paris, France.
| | - Marina Cuchel
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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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] [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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10
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Lipidomic analysis enables prediction of clinical outcomes in burn patients. Sci Rep 2016; 6:38707. [PMID: 27982130 PMCID: PMC5159901 DOI: 10.1038/srep38707] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 11/10/2016] [Indexed: 12/17/2022] Open
Abstract
Recent discoveries have highlighted the novel metabolic functions of adipose tissue in enhancing hypermetabolism after trauma. As the exact function and expression profiles of serum lipids and free fatty acids (FFA) are essentially unknown, we determined the lipidomic expression profile after burn in correlation to clinical outcomes to identify important lipid mediators affecting post-burn outcomes. We conducted a prospective cohort study with 46 adult burn patients and 5 healthy controls at the Ross Tilley Burn Center in Toronto, Canada. Patients were stratified based on major demographic and clinical variables, including age, burn severity, mortality, and sepsis. Serum FFAs and inflammatory markers were measured during acute hospital stay. We found that FFAs were acutely elevated post-burn and returned to baseline over time. Greater burn severity and age were associated with an impaired acute response in unsaturated FFAs and pro-inflammatory cytokines. Elevations in saturated and mono-unsaturated FFAs correlated significantly to increased mortality. In summary, persistent elevation of unsaturated lipids was associated with a functionally altered inflammatory-immunological milieu and worse clinical outcomes. The present lipidomic analysis indicates profound alterations in the lipid profile after burn by characterizing key lipids as potential diagnostic and outcome indicators in critically injured patients.
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11
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Tonks KT, Coster ACF, Christopher MJ, Chaudhuri R, Xu A, Gagnon‐Bartsch J, Chisholm DJ, James DE, Meikle PJ, Greenfield JR, Samocha‐Bonet D. Skeletal muscle and plasma lipidomic signatures of insulin resistance and overweight/obesity in humans. Obesity (Silver Spring) 2016; 24:908-16. [PMID: 26916476 PMCID: PMC6585800 DOI: 10.1002/oby.21448] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 12/08/2015] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Alterations in lipids in muscle and plasma have been documented in insulin-resistant people with obesity. Whether these lipid alterations are a reflection of insulin resistance or obesity remains unclear. METHODS Nondiabetic sedentary individuals not treated with lipid-lowering medications were studied (n = 51). Subjects with body mass index (BMI) > 25 kg/m(2) (n = 28) were stratified based on median glucose infusion rate during a hyperinsulinemic-euglycemic clamp into insulin-sensitive and insulin-resistant groups (above and below median, obesity/insulin-sensitive and obesity/insulin-resistant, respectively). Lean individuals (n = 23) served as a reference group. Lipidomics was performed in muscle and plasma by liquid chromatography electrospray ionization-tandem mass spectrometry. Pathway analysis of gene array in muscle was performed in a subset (n = 35). RESULTS In muscle, insulin resistance was characterized by higher levels of C18:0 sphingolipids, while in plasma, higher levels of diacylglycerol and cholesterol ester, and lower levels of lysophosphatidylcholine and lysoalkylphosphatidylcholine, indicated insulin resistance, irrespective of overweight/obesity. The sphingolipid metabolism gene pathway was upregulated in muscle in insulin resistance independent of obesity. An overweight/obesity lipidomic signature was only apparent in plasma, predominated by higher triacylglycerol and lower plasmalogen species. CONCLUSIONS Muscle C18:0 sphingolipids may play a role in insulin resistance independent of excess adiposity.
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Affiliation(s)
- Katherine T. Tonks
- Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Faculty of MedicineUNSWSydneyNew South WalesAustralia
- Department of Endocrinology and Diabetes CentreSt. Vincent's HospitalSydneyNew South WalesAustralia
| | - Adelle CF Coster
- Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- School of Mathematics and StatisticsUNSWSydneyNew South WalesAustralia
| | | | - Rima Chaudhuri
- Charles Perkins Centre, School of Molecular Bioscience, School of MedicineUniversity of SydneySydneyNew South WalesAustralia
| | - Aimin Xu
- Department of Medicine, Department of Pharmacology and Pharmacy, and Research Center of Heart, Brain, Hormone and Healthy AgeingUniversity of Hong KongPokfulamHong Kong
| | | | - Donald J. Chisholm
- Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Faculty of MedicineUNSWSydneyNew South WalesAustralia
| | - David E. James
- Charles Perkins Centre, School of Molecular Bioscience, School of MedicineUniversity of SydneySydneyNew South WalesAustralia
| | - Peter J. Meikle
- Baker IDI Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Jerry R. Greenfield
- Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Faculty of MedicineUNSWSydneyNew South WalesAustralia
- Department of Endocrinology and Diabetes CentreSt. Vincent's HospitalSydneyNew South WalesAustralia
| | - Dorit Samocha‐Bonet
- Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Faculty of MedicineUNSWSydneyNew South WalesAustralia
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12
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Chen X, Zhao ZW, Li L, Chen XJ, Xu H, Lou JT, Li LJ, Du LZ, Xie CH. Hypercoagulation and elevation of blood triglycerides are characteristics of Kawasaki disease. Lipids Health Dis 2015; 14:166. [PMID: 26714775 PMCID: PMC4696131 DOI: 10.1186/s12944-015-0167-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 12/22/2015] [Indexed: 12/17/2022] Open
Abstract
Background Cardiovascular damages poses risks to children with Kawasaki disease (KD). Although hypertriglyceridemia and hypercholesteremia are risk factors of cardiovascular damages, studies on the blood lipid metabolism in KD are still limited. This study aims to analyze the blood lipids and coagulation in KD. Methods Triglyceride (TG) and cholesterol levels in the plasma and serum from 20 children with KD were examined in comparison with 10 healthy children (HC) as well as 10 children with high fever from identified bacterial infections (BT). Using electrospray ionization mass spectrometry, we profiled the lipid species. Blood coagulation was analyzed. Statistics was analyzed by one-way ANOVA using SigmaStat. Results We found that in KD, plasma TG level was significantly increased, but not serum TG. A total of 19 molecular species of TG were identified, and they were all increased in KD and BT patients, and more pronounced in KD. On the other hand, major molecular species of plasma phosphotidylcholine and lyso-phosphotidylcholine were decreased in KD and BT. Pronounced hypercoagulation was found in KD blood. Conclusion Our data indicate hyperlipidemia in KD, especially for TG, which contributes to the hypercoagulation and the potential risk of cardiovascular damages. Evaluation of blood lipid levels in severe KD patients could provide valuable information for treatment and prognosis, thus would be worthy of consideration. Electronic supplementary material The online version of this article (doi:10.1186/s12944-015-0167-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xi Chen
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China. .,Key Laboratory for Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Zhen-Wen Zhao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
| | - Lin Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
| | - Xue-Jun Chen
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China. .,Key Laboratory for Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Hui Xu
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China.
| | - Jin-Tu Lou
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China. .,Key Laboratory for Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Lin-Jie Li
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China.
| | - Li-Zhong Du
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China. .,Key Laboratory for Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Chun-Hong Xie
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, No.3333 Bin-Sheng Road, Bin-Jiang Dist, Hangzhou, Zhejiang, 310052, China.
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13
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Eiden M, Koulman A, Hatunic M, West JA, Murfitt S, Osei M, Adams C, Wang X, Chu Y, Marney L, Roberts LD, O'Rahilly S, Semple RK, Savage DB, Griffin JL. Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes. Genome Med 2015; 7:63. [PMID: 26273324 PMCID: PMC4535665 DOI: 10.1186/s13073-015-0179-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Accepted: 06/02/2015] [Indexed: 01/21/2023] Open
Abstract
Background Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14–16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge. Methods We compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR gene) mutations with healthy controls. Results The absence of significant differences in triacylglycerol species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of triacylglycerols with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of triacylglycerol species is indicative of increased de novo lipogenesis in the liver. To test this we investigated the distribution of these triacylglycerols in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these triacylglycerols with very low-density lipoprotein particles, and hence release of triacylglycerols into the blood from the liver. To test further the hepatic origin of these triacylglycerols we induced de novo lipogenesis in the mouse, comparing ob/ob and wild-type mice on a chow or high fat diet, confirming that de novo lipogenesis induced an increase in relatively shorter, more saturated fatty acids. Conclusions Overall, these studies highlight hepatic de novo lipogenesis in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue. Electronic supplementary material The online version of this article (doi:10.1186/s13073-015-0179-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Michael Eiden
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK
| | - Albert Koulman
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK
| | - Mensud Hatunic
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - James A West
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK ; Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Steven Murfitt
- Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Michael Osei
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK
| | - Claire Adams
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Xinzhu Wang
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK ; Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Yajing Chu
- Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Luke Marney
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK
| | - Lee D Roberts
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK ; Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Stephen O'Rahilly
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Robert K Semple
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - David B Savage
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Julian L Griffin
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge, CB1 9NL UK ; Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge, UK
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