1
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Yew MJ, Heywood SE, Ng J, West OM, Pal M, Kueh A, Lancaster GI, Myers S, Yang C, Liu Y, Reibe S, Mellett NA, Meikle PJ, Febbraio MA, Greening DW, Drew BG, Henstridge DC. ACAD10 is not required for metformin's metabolic actions or for maintenance of whole-body metabolism in C57BL/6J mice. Diabetes Obes Metab 2024; 26:1731-1745. [PMID: 38351663 DOI: 10.1111/dom.15484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 04/09/2024]
Abstract
AIM Acyl-coenzyme A dehydrogenase family member 10 (ACAD10) is a mitochondrial protein purported to be involved in the fatty acid oxidation pathway. Metformin is the most prescribed therapy for type 2 diabetes; however, its precise mechanisms of action(s) are still being uncovered. Upregulation of ACAD10 is a requirement for metformin's ability to inhibit growth in cancer cells and extend lifespan in Caenorhabditis elegans. However, it is unknown whether ACAD10 plays a role in metformin's metabolic actions. MATERIALS AND METHODS We assessed the role for ACAD10 on whole-body metabolism and metformin action by generating ACAD10KO mice on a C57BL/6J background via CRISPR-Cas9 technology. In-depth metabolic phenotyping was conducted in both sexes on a normal chow and high fat-high sucrose diet. RESULTS Compared with wildtype mice, we detected no difference in body composition, energy expenditure or glucose tolerance in male or female ACAD10KO mice, on a chow diet or high-fat, high-sucrose diet (p ≥ .05). Hepatic mitochondrial function and insulin signalling was not different between genotypes under basal or insulin-stimulated conditions (p ≥ .05). Glucose excursions following acute administration of metformin before a glucose tolerance test were not different between genotypes nor was body composition or energy expenditure altered after 4 weeks of daily metformin treatment (p ≥ .05). Despite the lack of a metabolic phenotype, liver lipidomic analysis suggests ACAD10 depletion influences the abundance of specific ceramide species containing very long chain fatty acids, while metformin treatment altered clusters of cholesterol ester, plasmalogen, phosphatidylcholine and ceramide species. CONCLUSIONS Loss of ACAD10 does not alter whole-body metabolism or impact the acute or chronic metabolic actions of metformin in this model.
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Affiliation(s)
- Michael J Yew
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Sarah E Heywood
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Joe Ng
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Olivia M West
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Martin Pal
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- School of Dentistry and Medical Sciences, Charles Sturt University, Wagga Wagga, New South Wales, Australia
| | - Andrew Kueh
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Stephen Myers
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Christine Yang
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Yingying Liu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Saskia Reibe
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- University of Oxford, Oxford, UK
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Mark A Febbraio
- Monash Institute of Pharmaceutical Sciences, Melbourne, Victoria, Australia
| | - David W Greening
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Brian G Drew
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Darren C Henstridge
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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2
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Morgan PK, Pernes G, Huynh K, Giles C, Paul S, Smith AAT, Mellett NA, Liang A, van Buuren-Milne T, Veiga CB, Collins TJC, Xu Y, Lee MKS, De Silva TM, Meikle PJ, Lancaster GI, Murphy AJ. A lipid atlas of human and mouse immune cells provides insights into ferroptosis susceptibility. Nat Cell Biol 2024; 26:645-659. [PMID: 38589531 DOI: 10.1038/s41556-024-01377-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 03/13/2023] [Accepted: 02/19/2024] [Indexed: 04/10/2024]
Abstract
The cellular lipidome comprises thousands of unique lipid species. Here, using mass spectrometry-based targeted lipidomics, we characterize the lipid landscape of human and mouse immune cells ( www.cellularlipidatlas.com ). Using this resource, we show that immune cells have unique lipidomic signatures and that processes such as activation, maturation and development impact immune cell lipid composition. To demonstrate the potential of this resource to provide insights into immune cell biology, we determine how a cell-specific lipid trait-differences in the abundance of polyunsaturated fatty acid-containing glycerophospholipids (PUFA-PLs)-influences immune cell biology. First, we show that differences in PUFA-PL content underpin the differential susceptibility of immune cells to ferroptosis. Second, we show that low PUFA-PL content promotes resistance to ferroptosis in activated neutrophils. In summary, we show that the lipid landscape is a defining feature of immune cell identity and that cell-specific lipid phenotypes underpin aspects of immune cell physiology.
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Affiliation(s)
- Pooranee K Morgan
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia
| | - Gerard Pernes
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Immunology, Monash University, Melbourne, Victoria, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Sudip Paul
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | | | - Amy Liang
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | | | - Thomas J C Collins
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Immunology, Monash University, Melbourne, Victoria, Australia
| | - Yangsong Xu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Man K S Lee
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - T Michael De Silva
- Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Melbourne, Victoria, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Graeme I Lancaster
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- Department of Immunology, Monash University, Melbourne, Victoria, Australia.
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Victoria, Australia.
- Department of Immunology, Monash University, Melbourne, Victoria, Australia.
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia.
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3
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Chapman MJ, Orsoni A, Mellett NA, Nguyen A, Robillard P, Shaw JE, Giral P, Thérond P, Swertfeger D, Davidson WS, Meikle PJ. Pitavastatin treatment remodels the HDL subclass lipidome and proteome in hypertriglyceridemia. J Lipid Res 2024; 65:100494. [PMID: 38160756 PMCID: PMC10850136 DOI: 10.1016/j.jlr.2023.100494] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/22/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024] Open
Abstract
HDL particles vary in lipidome and proteome, which dictate their individual physicochemical properties, metabolism, and biological activities. HDL dysmetabolism in nondiabetic hypertriglyceridemia (HTG) involves subnormal HDL-cholesterol and apoAI levels. Metabolic anomalies may impact the qualitative features of both the HDL lipidome and proteome. Whether particle content of bioactive lipids and proteins may differentiate HDL subclasses (HDL2b, 2a, 3a, 3b, and 3c) in HTG is unknown. Moreover, little is known of the effect of statin treatment on the proteolipidome of hypertriglyceridemic HDL and its subclasses. Nondiabetic, obese, HTG males (n = 12) received pitavastatin calcium (4 mg/day) for 180 days in a single-phase, unblinded study. ApoB-containing lipoproteins were normalized poststatin. Individual proteolipidomes of density-defined HDL subclasses were characterized prestatin and poststatin. At baseline, dense HDL3c was distinguished by marked protein diversity and peak abundance of surface lysophospholipids, amphipathic diacylglycerol and dihydroceramide, and core cholesteryl ester and triacylglycerol, (normalized to mol phosphatidylcholine), whereas light HDL2b showed peak abundance of free cholesterol, sphingomyelin, glycosphingolipids (monohexosylceramide, dihexosylceramide, trihexosylceramide, and anionic GM3), thereby arguing for differential lipid transport and metabolism between subclasses. Poststatin, bioactive lysophospholipid (lysophosphatidylcholine, lysoalkylphosphatidylcholine, lysophosphatidylethanolamine, and lysophosphatidylinositol) cargo was preferentially depleted in HDL3c. By contrast, baseline lipidomic profiles of ceramide, dihydroceramide and related glycosphingolipids, and GM3/phosphatidylcholine were maintained across particle subclasses. All subclasses were depleted in triacylglycerol and diacylglycerol/phosphatidylcholine. The abundance of apolipoproteins CI, CII, CIV, and M diminished in the HDL proteome. Statin treatment principally impacts metabolic remodeling of the abnormal lipidome of HDL particle subclasses in nondiabetic HTG, with lesser effects on the proteome.
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Affiliation(s)
- M John Chapman
- Cardiovascular Disease Prevention Unit, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France.
| | - Alexina Orsoni
- Service de Biochimie, AP-HP, Paris-Saclay University, Bicetre University Hospital, and EA 7357, Paris-Saclay University, Orsay, France
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Anh Nguyen
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Paul Robillard
- Cardiovascular Disease Prevention Unit, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France
| | - Jonathan E Shaw
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Philippe Giral
- INSERM UMR1166 and Cardiovascular Prevention Units, ICAN-Institute of CardioMetabolism and Nutrition, AP-HP, Pitie-Salpetriere University Hospital, Paris, France
| | - Patrice Thérond
- Service de Biochimie, AP-HP, Paris-Saclay University, Bicetre University Hospital, and EA 7357, Paris-Saclay University, Orsay, France
| | - Debi Swertfeger
- Department of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, Victoria, Australia
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4
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Beyene HB, Giles C, Huynh K, Wang T, Cinel M, Mellett NA, Olshansky G, Meikle TG, Watts GF, Hung J, Hui J, Cadby G, Beilby J, Blangero J, Moses EK, Shaw JE, Magliano DJ, Meikle PJ. Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts. Nat Commun 2023; 14:6280. [PMID: 37805498 PMCID: PMC10560260 DOI: 10.1038/s41467-023-41963-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/26/2023] [Indexed: 10/09/2023] Open
Abstract
Obesity is a risk factor for type 2 diabetes and cardiovascular disease. However, a substantial proportion of patients with these conditions have a seemingly normal body mass index (BMI). Conversely, not all obese individuals present with metabolic disorders giving rise to the concept of "metabolically healthy obese". We use lipidomic-based models for BMI to calculate a metabolic BMI score (mBMI) as a measure of metabolic dysregulation associated with obesity. Using the difference between mBMI and BMI (mBMIΔ), we identify individuals with a similar BMI but differing in their metabolic health and disease risk profiles. Exercise and diet associate with mBMIΔ suggesting the ability to modify mBMI with lifestyle intervention. Our findings show that, the mBMI score captures information on metabolic dysregulation that is independent of the measured BMI and so provides an opportunity to assess metabolic health to identify "at risk" individuals for targeted intervention and monitoring.
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Affiliation(s)
- Habtamu B Beyene
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | | | - Thomas G Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Joseph Hung
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Jennie Hui
- PathWest Laboratory Medicine of Western Australia, Nedlands, WA, Australia
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia
- School of Population and Global Health, University of Western Australia, Crawley, WA, Australia
| | - Gemma Cadby
- School of Population and Global Health, University of Western Australia, Crawley, WA, Australia
| | - John Beilby
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Eric K Moses
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia.
- Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia.
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5
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Boslem E, Reibe S, Carlessi R, Smeuninx B, Tegegne S, Egan CL, McLennan E, Terry LV, Nobis M, Mu A, Nowell C, Horadagoda N, Mellett NA, Timpson P, Jones M, Denisenko E, Forrest AR, Tirnitz-Parker JE, Meikle PJ, Rose-John S, Karin M, Febbraio MA. Therapeutic blockade of ER stress and inflammation prevents NASH and progression to HCC. Sci Adv 2023; 9:eadh0831. [PMID: 37703359 PMCID: PMC10499313 DOI: 10.1126/sciadv.adh0831] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/07/2023] [Indexed: 09/15/2023]
Abstract
The incidence of hepatocellular carcinoma (HCC) is rapidly rising largely because of increased obesity leading to nonalcoholic steatohepatitis (NASH), a known HCC risk factor. There are no approved treatments to treat NASH. Here, we first used single-nucleus RNA sequencing to characterize a mouse model that mimics human NASH-driven HCC, the MUP-uPA mouse fed a high-fat diet. Activation of endoplasmic reticulum (ER) stress and inflammation was observed in a subset of hepatocytes that was enriched in mice that progress to HCC. We next treated MUP-uPA mice with the ER stress inhibitor BGP-15 and soluble gp130Fc, a drug that blocks inflammation by preventing interleukin-6 trans-signaling. Both drugs have progressed to phase 2/3 human clinical trials for other indications. We show that this combined therapy reversed NASH and reduced NASH-driven HCC. Our data suggest that these drugs could provide a potential therapy for NASH progression to HCC.
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Affiliation(s)
- Ebru Boslem
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Saskia Reibe
- Garvan Institute of Medical Research, Sydney, Australia
| | - Rodrigo Carlessi
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Benoit Smeuninx
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Surafel Tegegne
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Casey L. Egan
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Emma McLennan
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Lauren V. Terry
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Max Nobis
- Garvan Institute of Medical Research, Sydney, Australia
| | - Andre Mu
- Wellcome Sanger Institute, Cambridge, UK
- EMBL's European Bioinformatics Institute, Cambridge UK
| | - Cameron Nowell
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Neil Horadagoda
- Faculty of Veterinary Science, University of Sydney, Camden, Australia
| | | | - Paul Timpson
- Garvan Institute of Medical Research, Sydney, Australia
| | - Matthew Jones
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Elena Denisenko
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Alistair R. R. Forrest
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Janina E. E. Tirnitz-Parker
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Stefan Rose-John
- Department of Biochemistry, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Michael Karin
- Department of Pharmacology, University of California, San Diego, La Jolla, CA, USA
| | - Mark A. Febbraio
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
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6
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Dragoljevic D, Lee MKS, Pernes G, Morgan PK, Louis C, Shihata W, Huynh K, Kochetkova AA, Bell PW, Mellett NA, Meikle PJ, Lancaster GI, Kraakman MJ, Nagareddy PR, Hanaoka BY, Wicks IP, Murphy AJ. Administration of an LXR agonist promotes atherosclerotic lesion remodelling in murine inflammatory arthritis. Clin Transl Immunology 2023; 12:e1446. [PMID: 37091327 PMCID: PMC10113696 DOI: 10.1002/cti2.1446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 02/21/2023] [Accepted: 03/31/2023] [Indexed: 04/25/2023] Open
Abstract
Objectives The leading cause of mortality in patients with rheumatoid arthritis is atherosclerotic cardiovascular disease (CVD). We have shown that murine arthritis impairs atherosclerotic lesion regression, because of cellular cholesterol efflux defects in haematopoietic stem and progenitor cells (HSPCs), causing monocytosis and impaired atherosclerotic regression. Therefore, we hypothesised that improving cholesterol efflux using a Liver X Receptor (LXR) agonist would improve cholesterol efflux and improve atherosclerotic lesion regression in arthritis. Methods Ldlr -/- mice were fed a western-type diet for 14 weeks to initiate atherogenesis, then switched to a chow diet to induce lesion regression and divided into three groups; (1) control, (2) K/BxN serum transfer inflammatory arthritis (K/BxN) or (3) K/BxN arthritis and LXR agonist T0901317 daily for 2 weeks. Results LXR activation during murine inflammatory arthritis completely restored atherosclerotic lesion regression in arthritic mice, evidenced by reduced lesion size, macrophage abundance and lipid content. Mechanistically, serum from arthritic mice promoted foam cell formation, demonstrated by increased cellular lipid accumulation in macrophages and paralleled by a reduction in mRNA of the cholesterol efflux transporters Abca1, Abcg1 and Apoe. T0901317 reduced lipid loading and increased Abca1 and Abcg1 expression in macrophages exposed to arthritic serum and increased ABCA1 levels in atherosclerotic lesions of arthritic mice. Moreover, arthritic clinical score was also attenuated with T0901317. Conclusion Taken together, we show that the LXR agonist T0901317 rescues impaired atherosclerotic lesion regression in murine arthritis because of enhanced cholesterol efflux transporter expression and reduced foam cell development in atherosclerotic lesions.
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Affiliation(s)
- Dragana Dragoljevic
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Man Kit Sam Lee
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Gerard Pernes
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Pooranee K Morgan
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Cynthia Louis
- Inflammation DivisionWalter and Eliza Hall Institute of Medical ResearchParkvilleVICAustralia
- Rheumatology UnitRoyal Melbourne HospitalMelbourneVICAustralia
| | - Waled Shihata
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Kevin Huynh
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Arina A Kochetkova
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Patrick W Bell
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Natalie A Mellett
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Peter J Meikle
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | - Graeme I Lancaster
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
- Department of ImmunologyMonash UniversityMelbourneVICAustralia
| | - Michael J Kraakman
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
| | | | - Beatriz Y Hanaoka
- Department of SurgeryOhio State University Wexner Medical CenterColumbusOHUSA
| | - Ian P Wicks
- Inflammation DivisionWalter and Eliza Hall Institute of Medical ResearchParkvilleVICAustralia
- Rheumatology UnitRoyal Melbourne HospitalMelbourneVICAustralia
| | - Andrew J Murphy
- Division of ImmunometabolismBaker Heart and Diabetes InstituteMelbourneVICAustralia
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7
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Huynh K, Duong T, Mellett NA, Cinel M, Giles C, Meikle PJ. Comprehensive Targeted Lipidomic Profiling for Research and Clinical Applications. Methods Mol Biol 2023; 2628:489-504. [PMID: 36781803 DOI: 10.1007/978-1-0716-2978-9_29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Mass spectrometry remains one of the gold standard approaches in examining the lipidome in biological samples. Recently, advancements in chromatography and mass spectrometry approaches have enabled broad coverage of the lipidome. However, many limitations still exist, and lipidomic analysis often requires a fine balance between coverage of the lipidome, structural detail, and sample throughput. For biomedical and clinical research using human samples, the diversity and natural variation between different individuals necessitate larger sample numbers to identify significant associations with clinical outcomes and account for potential confounding factors. Here we describe a targeted lipidomics workflow that enables reproducible profiling of thousands of plasma samples in a systematic manner, while maintaining good structural detail and high coverage of the lipidome.
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Affiliation(s)
- Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia.,Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC, Australia
| | - Thy Duong
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia.,Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. .,Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC, Australia. .,Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC, Australia.
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8
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Barrachina MN, Pernes G, Becker IC, Allaeys I, Hirsch TI, Groeneveld DJ, Khan AO, Freire D, Guo K, Carminita E, Morgan PK, Collins TJ, Mellett NA, Wei Z, Almazni I, Italiano JE, Luyendyk J, Meikle PJ, Puder M, Morgan NV, Boilard E, Murphy AJ, Machlus KR. Efficient megakaryopoiesis and platelet production require phospholipid remodeling and PUFA uptake through CD36. bioRxiv 2023:2023.02.12.527706. [PMID: 36798332 PMCID: PMC9934665 DOI: 10.1101/2023.02.12.527706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Lipids contribute to hematopoiesis and membrane properties and dynamics, however, little is known about the role of lipids in megakaryopoiesis. Here, a lipidomic analysis of megakaryocyte progenitors, megakaryocytes, and platelets revealed a unique lipidome progressively enriched in polyunsaturated fatty acid (PUFA)-containing phospholipids. In vitro, inhibition of both exogenous fatty acid functionalization and uptake and de novo lipogenesis impaired megakaryocyte differentiation and proplatelet production. In vivo, mice on a high saturated fatty acid diet had significantly lower platelet counts, which was prevented by eating a PUFA-enriched diet. Fatty acid uptake was largely dependent on CD36, and its deletion in mice resulted in thrombocytopenia. Moreover, patients with a CD36 loss-of-function mutation exhibited thrombocytopenia and increased bleeding. Our results suggest that fatty acid uptake and regulation is essential for megakaryocyte maturation and platelet production, and that changes in dietary fatty acids may be a novel and viable target to modulate platelet counts.
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Affiliation(s)
- Maria N Barrachina
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Gerard Pernes
- Haematopoiesis and Leukocyte Biology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Isabelle C Becker
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Isabelle Allaeys
- Centre de Recherche du CHU de Québec-Université Laval and Centre de Recherche ARThrite, Québec, QC, G1V4G2 Canada
| | - Thomas I. Hirsch
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Dafna J Groeneveld
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Abdullah O. Khan
- Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Vincent Drive, Birmingham, U.K, B15 2TT
- MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine and National Institute of Health Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, U.K. OX3 9DS
| | - Daniela Freire
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Karen Guo
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Estelle Carminita
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Pooranee K Morgan
- Haematopoiesis and Leukocyte Biology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Thomas J Collins
- Haematopoiesis and Leukocyte Biology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Natalie A Mellett
- Metabolomics, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Zimu Wei
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Ibrahim Almazni
- Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Vincent Drive, Birmingham, U.K, B15 2TT
| | - Joseph E. Italiano
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - James Luyendyk
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Peter J Meikle
- Metabolomics, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Mark Puder
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
| | - Neil V. Morgan
- Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Vincent Drive, Birmingham, U.K, B15 2TT
| | - Eric Boilard
- Centre de Recherche du CHU de Québec-Université Laval and Centre de Recherche ARThrite, Québec, QC, G1V4G2 Canada
| | - Andrew J Murphy
- Haematopoiesis and Leukocyte Biology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Kellie R Machlus
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, 02115 USA
- Harvard Medical School, Department of Surgery, Boston Children’s Hospital, Boston, MA, 02115 USA
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9
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Wang T, Huynh K, Giles C, Mellett NA, Duong T, Nguyen A, Lim WLF, Smith AAT, Olshansky G, Cadby G, Hung J, Hui J, Beilby J, Watts GF, Chatterjee P, Martins I, Laws SM, Bush AI, Rowe CC, Villemagne VL, Ames D, Masters CL, Taddei K, Doré V, Fripp J, Arnold M, Kastenmüller G, Nho K, Saykin AJ, Baillie R, Han X, Martins RN, Moses EK, Kaddurah‐Daouk R, Meikle PJ. APOE ε2 resilience for Alzheimer's disease is mediated by plasma lipid species: Analysis of three independent cohort studies. Alzheimers Dement 2022; 18:2151-2166. [PMID: 35077012 PMCID: PMC9787288 DOI: 10.1002/alz.12538] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/19/2021] [Accepted: 10/25/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION The apolipoprotein E (APOE) genotype is the strongest genetic risk factor for late-onset Alzheimer's disease. However, its effect on lipid metabolic pathways, and their mediating effect on disease risk, is poorly understood. METHODS We performed lipidomic analysis on three independent cohorts (the Australian Imaging, Biomarkers and Lifestyle [AIBL] flagship study, n = 1087; the Alzheimer's Disease Neuroimaging Initiative [ADNI] 1 study, n = 819; and the Busselton Health Study [BHS], n = 4384), and we defined associations between APOE ε2 and ε4 and 569 plasma/serum lipid species. Mediation analysis defined the proportion of the treatment effect of the APOE genotype mediated by plasma/serum lipid species. RESULTS A total of 237 and 104 lipid species were associated with APOE ε2 and ε4, respectively. Of these 68 (ε2) and 24 (ε4) were associated with prevalent Alzheimer's disease. Individual lipid species or lipidomic models of APOE genotypes mediated up to 30% and 10% of APOE ε2 and ε4 treatment effect, respectively. DISCUSSION Plasma lipid species mediate the treatment effect of APOE genotypes on Alzheimer's disease and as such represent a potential therapeutic target.
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10
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Cadby G, Giles C, Melton PE, Huynh K, Mellett NA, Duong T, Nguyen A, Cinel M, Smith A, Olshansky G, Wang T, Brozynska M, Inouye M, McCarthy NS, Ariff A, Hung J, Hui J, Beilby J, Dubé MP, Watts GF, Shah S, Wray NR, Lim WLF, Chatterjee P, Martins I, Laws SM, Porter T, Vacher M, Bush AI, Rowe CC, Villemagne VL, Ames D, Masters CL, Taddei K, Arnold M, Kastenmüller G, Nho K, Saykin AJ, Han X, Kaddurah-Daouk R, Martins RN, Blangero J, Meikle PJ, Moses EK. Comprehensive genetic analysis of the human lipidome identifies loci associated with lipid homeostasis with links to coronary artery disease. Nat Commun 2022; 13:3124. [PMID: 35668104 PMCID: PMC9170690 DOI: 10.1038/s41467-022-30875-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [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] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 05/17/2022] [Indexed: 12/26/2022] Open
Abstract
We integrated lipidomics and genomics to unravel the genetic architecture of lipid metabolism and identify genetic variants associated with lipid species putatively in the mechanistic pathway for coronary artery disease (CAD). We quantified 596 lipid species in serum from 4,492 individuals from the Busselton Health Study. The discovery GWAS identified 3,361 independent lipid-loci associations, involving 667 genomic regions (479 previously unreported), with validation in two independent cohorts. A meta-analysis revealed an additional 70 independent genomic regions associated with lipid species. We identified 134 lipid endophenotypes for CAD associated with 186 genomic loci. Associations between independent lipid-loci with coronary atherosclerosis were assessed in ∼456,000 individuals from the UK Biobank. Of the 53 lipid-loci that showed evidence of association (P < 1 × 10-3), 43 loci were associated with at least one lipid endophenotype. These findings illustrate the value of integrative biology to investigate the aetiology of atherosclerosis and CAD, with implications for other complex diseases.
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Affiliation(s)
- Gemma Cadby
- School of Population and Global Health, University of Western Australia, Crawley, WA, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia
| | - Phillip E Melton
- School of Population and Global Health, University of Western Australia, Crawley, WA, Australia
- Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - Thy Duong
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Anh Nguyen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Alex Smith
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Gavriel Olshansky
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia
| | - Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia
| | - Marta Brozynska
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Mike Inouye
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Nina S McCarthy
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia
| | - Amir Ariff
- School of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia
| | - Joseph Hung
- School of Medicine, The University of Western Australia, Crawley, WA, Australia
- Department of Cardiovascular Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Busselton Population Medical Research Institute Inc., Perth, WA, Australia
| | - Jennie Hui
- Busselton Population Medical Research Institute Inc., Perth, WA, Australia
- PathWest Laboratory Medicine WA, Perth, WA, Australia
| | - John Beilby
- Busselton Population Medical Research Institute Inc., Perth, WA, Australia
- PathWest Laboratory Medicine WA, Perth, WA, Australia
| | - Marie-Pierre Dubé
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal Heart Institute, Montreal, QC, Canada
| | - Gerald F Watts
- School of Medicine, The University of Western Australia, Crawley, WA, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Sonia Shah
- Institute for Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Wei Ling Florence Lim
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative research Centre (CRC) for Mental Health, Joondalup, WA, Australia
| | - Pratishtha Chatterjee
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
- KaRa Institute of Neurological Disease, Sydney, Macquarie Park, NSW, Australia
| | - Ian Martins
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
| | - Tenielle Porter
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
| | - Michael Vacher
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- The Australian e-Health Research Centre, Health and Biosecurity, CSIRO, Floreat, WA, Australia
| | - Ashley I Bush
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Christopher C Rowe
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, VIC, Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Kew, VIC, Australia
| | - Colin L Masters
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Kevin Taddei
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Ralph N Martins
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative research Centre (CRC) for Mental Health, Joondalup, WA, Australia
- Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
- KaRa Institute of Neurological Disease, Sydney, Macquarie Park, NSW, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia.
- Monash University, Melbourne, VIC, Australia.
| | - Eric K Moses
- Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia.
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia.
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11
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Monroe JD, Fraher D, Huang X, Mellett NA, Meikle PJ, Sinclair AJ, Lirette ST, Maihle NJ, Gong Z, Gibert Y. Identification of novel lipid biomarkers in xmrk- and Myc-induced models of hepatocellular carcinoma in zebrafish. Cancer Metab 2022; 10:7. [PMID: 35379333 PMCID: PMC8981695 DOI: 10.1186/s40170-022-00283-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/06/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the predominant form of liver cancer and is accompanied by complex dysregulation of lipids. Increasing evidence suggests that particular lipid species are associated with HCC progression. Here, we aimed to identify lipid biomarkers of HCC associated with the induction of two oncogenes, xmrk, a zebrafish homolog of the human epidermal growth factor receptor (EGFR), and Myc, a regulator of EGFR expression during HCC. METHODS We induced HCC in transgenic xmrk, Myc, and xmrk/Myc zebrafish models. Liver specimens were histologically analyzed to characterize the HCC stage, Oil-Red-O stained to detect lipids, and liquid chromatography/mass spectrometry analyzed to assign and quantify lipid species. Quantitative real-time polymerase chain reaction was used to measure lipid metabolic gene expression in liver samples. Lipid species data was analyzed using univariate and multivariate logistic modeling to correlate lipid class levels with HCC progression. RESULTS We found that induction of xmrk, Myc and xmrk/Myc caused different stages of HCC. Lipid deposition and class levels generally increased during tumor progression, but triglyceride levels decreased. Myc appears to control early HCC stage lipid species levels in double transgenics, whereas xmrk may take over this role in later stages. Lipid metabolic gene expression can be regulated by either xmrk, Myc, or both oncogenes. Our computational models showed that variations in total levels of several lipid classes are associated with HCC progression. CONCLUSIONS These data indicate that xmrk and Myc can temporally regulate lipid species that may serve as effective biomarkers of HCC progression.
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Affiliation(s)
- Jerry D Monroe
- Department of Cell and Molecular Biology, Cancer Center and Research Institute, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Daniel Fraher
- Metabolic Genetic Diseases Laboratory, Metabolic Research Unit, Deakin University School of Medicine, 75 Pigdons Road, Geelong, VIC, 3216, Australia
| | - Xiaoqian Huang
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Natalie A Mellett
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Andrew J Sinclair
- Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, VIC, 3168, Australia
| | - Seth T Lirette
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Nita J Maihle
- Department of Cell and Molecular Biology, Cancer Center and Research Institute, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Zhiyuan Gong
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
| | - Yann Gibert
- Department of Cell and Molecular Biology, Cancer Center and Research Institute, University of Mississippi Medical Center, Jackson, MS, 39216, USA.
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12
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Mak B, Lin HM, Kwan EM, Fettke H, Tran B, Davis ID, Mahon K, Stockler MR, Briscoe K, Marx G, Zhang A, Crumbaker M, Tan W, Huynh K, Meikle TG, Mellett NA, Hoy AJ, Du P, Yu J, Jia S, Joshua AM, Waugh DJ, Butler LM, Kohli M, Meikle PJ, Azad AA, Horvath LG. Combined impact of lipidomic and genetic aberrations on clinical outcomes in metastatic castration-resistant prostate cancer. BMC Med 2022; 20:112. [PMID: 35331214 PMCID: PMC8953070 DOI: 10.1186/s12916-022-02298-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 11/28/2021] [Accepted: 02/14/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Both changes in circulating lipids represented by a validated poor prognostic 3-lipid signature (3LS) and somatic tumour genetic aberrations are individually associated with worse clinical outcomes in men with metastatic castration-resistant prostate cancer (mCRPC). A key question is how the lipid environment and the cancer genome are interrelated in order to exploit this therapeutically. We assessed the association between the poor prognostic 3-lipid signature (3LS), somatic genetic aberrations and clinical outcomes in mCRPC. METHODS We performed plasma lipidomic analysis and cell-free DNA (cfDNA) sequencing on 106 men with mCRPC commencing docetaxel, cabazitaxel, abiraterone or enzalutamide (discovery cohort) and 94 men with mCRPC commencing docetaxel (validation cohort). Differences in lipid levels between men ± somatic genetic aberrations were assessed with t-tests. Associations between the 3LS and genetic aberrations with overall survival (OS) were examined using Kaplan-Meier methods and Cox proportional hazard models. RESULTS The 3LS was associated with shorter OS in the discovery (hazard ratio [HR] 2.15, 95% confidence interval [CI] 1.4-3.3, p < 0.001) and validation cohorts (HR 2.32, 95% CI 1.59-3.38, p < 0.001). Elevated plasma sphingolipids were associated with AR, TP53, RB1 and PI3K aberrations (p < 0.05). Men with both the 3LS and aberrations in AR, TP53, RB1 or PI3K had shorter OS than men with neither in both cohorts (p ≤ 0.001). The presence of 3LS and/or genetic aberration was independently associated with shorter OS for men with AR, TP53, RB1 and PI3K aberrations (p < 0.02). Furthermore, aggressive-variant prostate cancer (AVPC), defined as 2 or more aberrations in TP53, RB1 and/or PTEN, was associated with elevated sphingolipids. The combination of AVPC and 3LS predicted for a median survival of ~12 months. The relatively small sample size of the cohorts limits clinical applicability and warrants future studies. CONCLUSIONS Elevated circulating sphingolipids were associated with AR, TP53, RB1, PI3K and AVPC aberrations in mCRPC, and the combination of lipid and genetic abnormalities conferred a worse prognosis. These findings suggest that certain genotypes in mCRPC may benefit from metabolic therapies.
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Affiliation(s)
- Blossom Mak
- Chris O'Brien Lifehouse, Missenden Rd, Camperdown, New South Wales, 2050, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.,University of Sydney, Sydney, New South Wales, Australia
| | - Hui-Ming Lin
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.,St Vincent's Clinical School, UNSW, Sydney, New South Wales, Australia
| | | | - Heidi Fettke
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Ben Tran
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Ian D Davis
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.,Eastern Health, Box Hill, Victoria, Australia
| | - Kate Mahon
- Chris O'Brien Lifehouse, Missenden Rd, Camperdown, New South Wales, 2050, Australia.,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.,University of Sydney, Sydney, New South Wales, Australia.,Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Martin R Stockler
- University of Sydney, Sydney, New South Wales, Australia.,Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Karen Briscoe
- Mid North Coast Cancer Institute, Coffs Harbour, New South Wales, Australia
| | - Gavin Marx
- Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
| | - Alison Zhang
- Chris O'Brien Lifehouse, Missenden Rd, Camperdown, New South Wales, 2050, Australia
| | - Megan Crumbaker
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.,The Kinghorn Cancer Centre, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | | | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Thomas G Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Andrew J Hoy
- School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Pan Du
- Predicine, Inc., Hayward, CA, USA
| | | | | | - Anthony M Joshua
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.,St Vincent's Clinical School, UNSW, Sydney, New South Wales, Australia.,The Kinghorn Cancer Centre, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | - David J Waugh
- Queensland University of Technology, Brisbane, Queensland, Australia
| | - Lisa M Butler
- Adelaide Medical School and Freemason's Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Manish Kohli
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Arun A Azad
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Lisa G Horvath
- Chris O'Brien Lifehouse, Missenden Rd, Camperdown, New South Wales, 2050, Australia. .,Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia. .,University of Sydney, Sydney, New South Wales, Australia. .,St Vincent's Clinical School, UNSW, Sydney, New South Wales, Australia. .,Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
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13
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Granata C, Caruana NJ, Botella J, Jamnick NA, Huynh K, Kuang J, Janssen HA, Reljic B, Mellett NA, Laskowski A, Stait TL, Frazier AE, Coughlan MT, Meikle PJ, Thorburn DR, Stroud DA, Bishop DJ. High-intensity training induces non-stoichiometric changes in the mitochondrial proteome of human skeletal muscle without reorganisation of respiratory chain content. Nat Commun 2021; 12:7056. [PMID: 34862379 PMCID: PMC8642543 DOI: 10.1038/s41467-021-27153-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/26/2021] [Indexed: 12/28/2022] Open
Abstract
Mitochondrial defects are implicated in multiple diseases and aging. Exercise training is an accessible, inexpensive therapeutic intervention that can improve mitochondrial bioenergetics and quality of life. By combining multiple omics techniques with biochemical and in silico normalisation, we removed the bias arising from the training-induced increase in mitochondrial content to unearth an intricate and previously undemonstrated network of differentially prioritised mitochondrial adaptations. We show that changes in hundreds of transcripts, proteins, and lipids are not stoichiometrically linked to the overall increase in mitochondrial content. Our findings suggest enhancing electron flow to oxidative phosphorylation (OXPHOS) is more important to improve ATP generation than increasing the abundance of the OXPHOS machinery, and do not support the hypothesis that training-induced supercomplex formation enhances mitochondrial bioenergetics. Our study provides an analytical approach allowing unbiased and in-depth investigations of training-induced mitochondrial adaptations, challenging our current understanding, and calling for careful reinterpretation of previous findings.
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Affiliation(s)
- Cesare Granata
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia.
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia.
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University, 40225, Düsseldorf, Germany.
| | - Nikeisha J Caruana
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia
- Department of Biochemistry and Pharmacology and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Javier Botella
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia
| | - Nicholas A Jamnick
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia
- Metabolic Research Unit, School of Medicine and Institute for Mental and Physical Health and Clinical Translation (iMPACT), Deakin University, Geelong, VIC, Australia
| | - Kevin Huynh
- Baker Heart & Diabetes Institute, Melbourne, VIC, 3004, Australia
| | - Jujiao Kuang
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia
| | - Hans A Janssen
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia
| | - Boris Reljic
- Department of Biochemistry and Pharmacology and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
- Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, 3800, Melbourne, Australia
| | | | - Adrienne Laskowski
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia
| | - Tegan L Stait
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, 3052, Australia
| | - Ann E Frazier
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Melinda T Coughlan
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia
- Baker Heart & Diabetes Institute, Melbourne, VIC, 3004, Australia
| | - Peter J Meikle
- Baker Heart & Diabetes Institute, Melbourne, VIC, 3004, Australia
| | - David R Thorburn
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC, 3052, Australia
- Victorian Clinical Genetics Services, Royal Children's Hospital, Melbourne, VIC, 3052, Australia
| | - David A Stroud
- Department of Biochemistry and Pharmacology and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, 3052, Australia.
| | - David J Bishop
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, 3011, Australia.
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14
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Pinto AJ, Meireles K, Peçanha T, Mazzolani BC, Smaira FI, Rezende D, Benatti FB, Ribeiro ACM, Pinto ALS, Lima FR, Shinjo SK, Dantas WS, Mellett NA, Meikle PJ, Owen N, Dunstan DW, Roschel H, Gualano B. Acute cardiometabolic effects of brief active breaks in sitting for patients with rheumatoid arthritis. Am J Physiol Endocrinol Metab 2021; 321:E782-E794. [PMID: 34693756 DOI: 10.1152/ajpendo.00259.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Exercise is a treatment in rheumatoid arthritis, but participation in moderate-to-vigorous exercise is challenging for some patients. Light-intensity breaks in sitting could be a promising alternative. We compared the acute effects of active breaks in sitting with those of moderate-to-vigorous exercise on cardiometabolic risk markers in patients with rheumatoid arthritis. In a crossover fashion, 15 women with rheumatoid arthritis underwent three 8-h experimental conditions: prolonged sitting (SIT), 30-min bout of moderate-to-vigorous exercise followed by prolonged sitting (EX), and 3-min bouts of light-intensity walking every 30 min of sitting (BR). Postprandial glucose, insulin, c-peptide, triglycerides, cytokines, lipid classes/subclasses (lipidomics), and blood pressure responses were assessed. Muscle biopsies were collected following each session to assess targeted proteins/genes. Glucose [-28% in area under the curve (AUC), P = 0.036], insulin (-28% in AUC, P = 0.016), and c-peptide (-27% in AUC, P = 0.006) postprandial responses were attenuated in BR versus SIT, whereas only c-peptide was lower in EX versus SIT (-20% in AUC, P = 0.002). IL-1β decreased during BR, but increased during EX and SIT (P = 0.027 and P = 0.085, respectively). IL-1ra was increased during EX versus BR (P = 0.002). TNF-α concentrations decreased during BR versus EX (P = 0.022). EX, but not BR, reduced systolic blood pressure (P = 0.013). Lipidomic analysis showed that 7 of 36 lipid classes/subclasses were significantly different between conditions, with greater changes being observed in EX. No differences were observed for protein/gene expression. Brief active breaks in sitting can offset markers of cardiometabolic disturbance, which may be particularly useful for patients who may find it difficult to adhere to exercise.NEW & NOTEWORTHY Exercise is a treatment in rheumatoid arthritis but is challenging for some patients. Light-intensity breaks in sitting could be a promising alternative. Our findings show beneficial, but differential, cardiometabolic effects of active breaks in sitting and exercise in patients with rheumatoid arthritis. Breaks in sitting mainly improved glycemic and inflammatory markers, whereas exercise improved lipidomic and hypotensive responses. Breaks in sitting show promise in offsetting aspects of cardiometabolic disturbance associated with prolonged sitting in rheumatoid arthritis.
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Affiliation(s)
- Ana J Pinto
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Kamila Meireles
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Tiago Peçanha
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Bruna C Mazzolani
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabiana I Smaira
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Diego Rezende
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabiana B Benatti
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- School of Applied Sciences, State University of Campinas, Limeira, Brazil
| | - Ana C M Ribeiro
- Rheumatology Division, School of Medicine FMUSP, University of Sao Paulo, Sao Paulo, Brazil
| | - Ana L S Pinto
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- Rheumatology Division, School of Medicine FMUSP, University of Sao Paulo, Sao Paulo, Brazil
| | - Fernanda R Lima
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- Rheumatology Division, School of Medicine FMUSP, University of Sao Paulo, Sao Paulo, Brazil
| | - Samuel K Shinjo
- Rheumatology Division, School of Medicine FMUSP, University of Sao Paulo, Sao Paulo, Brazil
| | - Wagner S Dantas
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Natalie A Mellett
- Physical Activity, Behavioural Epidemiology and/or Metabolomics Laboratories, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Peter J Meikle
- Physical Activity, Behavioural Epidemiology and/or Metabolomics Laboratories, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Neville Owen
- Physical Activity, Behavioural Epidemiology and/or Metabolomics Laboratories, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - David W Dunstan
- Physical Activity, Behavioural Epidemiology and/or Metabolomics Laboratories, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Hamilton Roschel
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- School of Applied Sciences, State University of Campinas, Limeira, Brazil
| | - Bruno Gualano
- Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- School of Applied Sciences, State University of Campinas, Limeira, Brazil
- Food Research Center, University of São Paulo, Sao Paulo, Brazil
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15
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Morgan PK, Huynh K, Pernes G, Miotto PM, Mellett NA, Giles C, Meikle PJ, Murphy AJ, Lancaster GI. Macrophage polarization state affects lipid composition and the channeling of exogenous fatty acids into endogenous lipid pools. J Biol Chem 2021; 297:101341. [PMID: 34695418 PMCID: PMC8604758 DOI: 10.1016/j.jbc.2021.101341] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 10/14/2021] [Accepted: 10/20/2021] [Indexed: 12/23/2022] Open
Abstract
Adipose-tissue-resident macrophages (ATMs) maintain metabolic homeostasis but also contribute to obesity-induced adipose tissue inflammation and metabolic dysfunction. Central to these contrasting effects of ATMs on metabolic homeostasis is the interaction of macrophages with fatty acids. Fatty acid levels are increased within adipose tissue in various pathological and physiological conditions, but appear to initiate inflammatory responses only upon interaction with particular macrophage subsets within obese adipose tissue. The molecular basis underlying these divergent outcomes is likely due to phenotypic differences between ATM subsets, although how macrophage polarization state influences the metabolism of exogenous fatty acids is relatively unknown. Herein, using stable isotope-labeled and nonlabeled fatty acids in combination with mass spectrometry lipidomics, we show marked differences in the utilization of exogenous fatty acids within inflammatory macrophages (M1 macrophages) and macrophages involved in tissue homeostasis (M2 macrophages). Specifically, the accumulation of exogenous fatty acids within triacylglycerols and cholesterol esters is significantly higher in M1 macrophages, while there is an increased enrichment of exogenous fatty acids within glycerophospholipids, ether lipids, and sphingolipids in M2 macrophages. Finally, we show that functionally distinct ATM populations in vivo have distinct lipid compositions. Collectively, this study identifies new aspects of the metabolic reprogramming that occur in distinct macrophage polarization states. The channeling of exogenous fatty acids into particular lipid synthetic pathways may contribute to the sensitivity/resistance of macrophage subsets to the inflammatory effects of increased environmental fatty acid levels.
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Affiliation(s)
- Pooranee K Morgan
- Baker Heart and Diabetes Institute, Melbourne, Australia; School of Life Sciences, La Trobe University, Melbourne, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Gerard Pernes
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Paula M Miotto
- Department of Anatomy and Physiology, School of Biomedical Sciences, University of Melboure, Melbourne, Australia
| | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Immunology, Monash University, Melbourne, Australia.
| | - Graeme I Lancaster
- Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Immunology, Monash University, Melbourne, Australia.
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16
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Wang T, Huynh K, Giles C, Lim WLF, Duong T, Mellett NA, Smith A, Olshansky G, Drew BG, Cadby G, Melton PE, Hung J, Beilby J, Watts GF, Chatterjee P, Martins I, Laws SM, Bush AI, Rowe CC, Villemagne VL, Ames D, Masters CL, Arnold M, Kastenmüller G, Nho K, Saykin AJ, Baillie R, Han X, Martins RN, Moses E, Kaddurah‐Daouk RF, Meikle PJ. Lipidomic signatures for APOE genotypes provides new insights about mechanisms of resilience in Alzheimer’s disease. Alzheimers Dement 2021. [DOI: 10.1002/alz.056703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Tingting Wang
- Baker Heart and Diabetes Institute Melbourne VIC Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute Melbourne VIC Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute Melbourne VIC Australia
| | | | - Thy Duong
- Baker Heart and Diabetes Institute Melbourne VIC Australia
| | | | | | | | - Brian G. Drew
- Baker Heart and Diabetes Institute Melbourne VIC Australia
| | - Gemma Cadby
- School of Medicine Faculty of Health and Medical Sciences University of Western Australia Perth WA Australia
| | - Phillip E. Melton
- School of Medicine Faculty of Health and Medical Sciences University of Western Australia Perth WA Australia
| | - Joseph Hung
- Lipid Disorders Clinic Department of Cardiology Royal Perth Hospital Perth WA Australia
| | - John Beilby
- PathWest Laboratory Medicine of Western Australia Nedlands WA Australia
| | - Gerald F. Watts
- School of Medicine Faculty of Health and Medical Sciences University of Western Australia Perth WA Australia
| | | | - Ian Martins
- Co‐operative research Centre (CRC) for Mental Health Carlton South VIC Australia
| | | | - Ashley I. Bush
- The Florey Department of Neuroscience and Mental Health The University of Melbourne Melbourne VIC Australia
| | - Christopher C. Rowe
- The Florey Department of Neuroscience and Mental Health The University of Melbourne Melbourne VIC Australia
| | - Victor L. Villemagne
- Department of Nuclear Medicine and Centre for PET Austin Health Heidelberg, Vic, Heidelberg, QLD 3084 Australia Australia
| | - David Ames
- National Ageing Research Institute Parkville, VIC Australia
| | - Colin L. Masters
- The Florey Department of Neuroscience and Mental Health The University of Melbourne Melbourne VIC Australia
| | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences Duke University Durham NC USA
- Institute of Computational Biology Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany
| | - Gabi Kastenmüller
- Institute of Computational Biology Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis IN USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis IN USA
| | | | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies University of Texas Health Science Center at San Antonio San Antonio TX USA
| | - Ralph N. Martins
- Co‐operative research Centre (CRC) for Mental Health Carlton South VIC Australia
| | - Eric Moses
- School of Medicine Faculty of Health and Medical Sciences University of Western Australia Perth WA Australia
| | - Rima F. Kaddurah‐Daouk
- Department of Psychiatry and Behavioral Sciences Duke University Durham NC USA
- Duke Institute for Brain Sciences Duke University Durham NC USA
- Department of Medicine Duke University Durham NC USA
| | - Peter J Meikle
- Baker Heart and Diabetes Institute Melbourne VIC Australia
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17
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Lin HM, Mak B, Yeung N, Huynh K, Meikle TG, Mellett NA, Kwan EM, Fettke H, Tran B, Davis ID, Mahon KL, Zhang A, Stockler MR, Briscoe K, Marx G, Crumbaker M, Stricker PD, Du P, Yu J, Jia S, Scheinberg T, Fitzpatrick M, Bonnitcha P, Sullivan DR, Joshua AM, Azad AA, Butler LM, Meikle PJ, Horvath LG. Overcoming enzalutamide resistance in metastatic prostate cancer by targeting sphingosine kinase. EBioMedicine 2021; 72:103625. [PMID: 34656931 PMCID: PMC8526762 DOI: 10.1016/j.ebiom.2021.103625] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 09/05/2021] [Revised: 09/28/2021] [Accepted: 09/30/2021] [Indexed: 02/06/2023] Open
Abstract
Background Intrinsic resistance to androgen receptor signalling inhibitors (ARSI) occurs in 20–30% of men with metastatic castration-resistant prostate cancer (mCRPC). Ceramide metabolism may have a role in ARSI resistance. Our study's aim is to investigate the association of the ceramide-sphingosine-1-phosphate (ceramide-S1P) signalling axis with ARSI resistance in mCRPC. Methods Lipidomic analysis (∼700 lipids) was performed on plasma collected from 132 men with mCRPC, before commencing enzalutamide or abiraterone. AR gene aberrations in 77 of these men were identified by deep sequencing of circulating tumour DNA. Associations between circulating lipids, radiological progression-free survival (rPFS) and overall survival (OS) were examined by Cox regression. Inhibition of ceramide-S1P signalling with sphingosine kinase (SPHK) inhibitors (PF-543 and ABC294640) on enzalutamide efficacy was investigated with in vitro assays, and transcriptomic and lipidomic analyses of prostate cancer (PC) cell lines (LNCaP, C42B, 22Rv1). Findings Men with elevated circulating ceramide levels had shorter rPFS (HR=2·3, 95% CI=1·5–3·6, p = 0·0004) and shorter OS (HR=2·3, 95% CI=1·4–36, p = 0·0005). The combined presence of an AR aberration with elevated ceramide levels conferred a worse prognosis than the presence of only one or none of these characteristics (median rPFS time = 3·9 vs 8·3 vs 17·7 months; median OS time = 8·9 vs 19·8 vs 34·4 months). SPHK inhibitors enhanced enzalutamide efficacy in PC cell lines. Transcriptomic and lipidomic analyses indicated that enzalutamide combined with SPHK inhibition enhanced PC cell death by SREBP-induced lipotoxicity. Interpretation Ceramide-S1P signalling promotes ARSI resistance, which can be reversed with SPHK inhibitors.
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Affiliation(s)
- Hui-Ming Lin
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia
| | - Blossom Mak
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia; University of Sydney, Camperdown, New South Wales, Australia
| | - Nicole Yeung
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Thomas G Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Edmond M Kwan
- Department of Medical Oncology, Monash Health, Clayton, Victoria, Australia; Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Heidi Fettke
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Ben Tran
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Ian D Davis
- Cancer Services, Eastern Health, Box Hill, Victoria, Australia; Eastern Health Clinical School, Monash University, Box Hill, Victoria, Australia
| | - Kate L Mahon
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia; Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia; University of Sydney, Camperdown, New South Wales, Australia; Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Alison Zhang
- Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia
| | - Martin R Stockler
- Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia; University of Sydney, Camperdown, New South Wales, Australia; Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia; Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Karen Briscoe
- Mid North Coast Cancer Institute, Coffs Harbour, New South Wales, Australia
| | - Gavin Marx
- Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
| | - Megan Crumbaker
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia; The Kinghorn Cancer Centre, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | - Phillip D Stricker
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia
| | - Pan Du
- Predicine, Inc., Hayward, CA, USA
| | | | | | - Tahlia Scheinberg
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia; University of Sydney, Camperdown, New South Wales, Australia
| | | | - Paul Bonnitcha
- University of Sydney, Camperdown, New South Wales, Australia; NSW Health Pathology, Camperdown, New South Wales, Australia
| | - David R Sullivan
- Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia; NSW Health Pathology, Camperdown, New South Wales, Australia
| | - Anthony M Joshua
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia; The Kinghorn Cancer Centre, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | - Arun A Azad
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Lisa M Butler
- Adelaide Medical School and Freemason's Centre for Male Health and Wellbeing, University of Adelaide, Adelaide, South Australia, Australia; South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Lisa G Horvath
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia; St Vincent's Clinical School, UNSW Sydney, Darlinghurst, New South Wales, Australia; Chris O' Brien Lifehouse, Camperdown, New South Wales, Australia; University of Sydney, Camperdown, New South Wales, Australia; Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
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18
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Paul S, Smith AAT, Culham K, Gunawan KA, Weir JM, Cinel MA, Jayawardana KS, Mellett NA, Lee MKS, Murphy AJ, Lancaster GI, Nestel PJ, Kingwell BA, Meikle PJ. Shark liver oil supplementation enriches endogenous plasmalogens and reduces markers of dyslipidemia and inflammation. J Lipid Res 2021; 62:100092. [PMID: 34146594 PMCID: PMC8281607 DOI: 10.1016/j.jlr.2021.100092] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 04/02/2021] [Revised: 05/27/2021] [Accepted: 06/06/2021] [Indexed: 01/09/2023] Open
Abstract
Plasmalogens are membrane glycerophospholipids with diverse biological functions. Reduced plasmalogen levels have been observed in metabolic diseases; hence, increasing their levels might be beneficial in ameliorating these conditions. Shark liver oil (SLO) is a rich source of alkylglycerols that can be metabolized into plasmalogens. This study was designed to evaluate the impact of SLO supplementation on endogenous plasmalogen levels in individuals with features of metabolic disease. In this randomized, double-blind, placebo-controlled cross-over study, the participants (10 overweight or obese males) received 4-g Alkyrol® (purified SLO) or placebo (methylcellulose) per day for 3 weeks followed by a 3-week washout phase and were then crossed over to 3 weeks of the alternate placebo/Alkyrol® treatment. SLO supplementation led to significant changes in plasma and circulatory white blood cell lipidomes, notably increased levels of plasmalogens and other ether lipids. In addition, SLO supplementation significantly decreased the plasma levels of total free cholesterol, triglycerides, and C-reactive protein. These findings suggest that SLO supplementation can enrich plasma and cellular plasmalogens and this enrichment may provide protection against obesity-related dyslipidemia and inflammation.
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Affiliation(s)
- Sudip Paul
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Adam Alexander T Smith
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Kevin Culham
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Kevin A Gunawan
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jacqueline M Weir
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Michelle A Cinel
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Kaushala S Jayawardana
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Man K S Lee
- Haematopoiesis and Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Andrew J Murphy
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia; Haematopoiesis and Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Graeme I Lancaster
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia; Haematopoiesis and Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Paul J Nestel
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Bronwyn A Kingwell
- Metabolic and Vascular Physiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
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19
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Schooneveldt YL, Giles C, Keating MF, Mellett NA, Jurrjens AW, Paul S, Calkin AC, Meikle PJ. The Impact of Simvastatin on Lipidomic Markers of Cardiovascular Risk in Human Liver Cells Is Secondary to the Modulation of Intracellular Cholesterol. Metabolites 2021; 11:metabo11060340. [PMID: 34070445 PMCID: PMC8228384 DOI: 10.3390/metabo11060340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/19/2021] [Accepted: 05/21/2021] [Indexed: 12/03/2022] Open
Abstract
Statins are the first-line lipid-lowering therapy for reducing cardiovascular disease (CVD) risk. A plasma lipid ratio of two phospholipids, PI(36:2) and PC(18:0_20:4), was previously identified to explain 58% of the relative CVD risk reduction associated with pravastatin, independent of a change in low-density lipoprotein-cholesterol. This ratio may be a potential biomarker for the treatment effect of statins; however, the underlying mechanisms linking this ratio to CVD risk remain unclear. In this study, we investigated the effect of altered cholesterol conditions on the lipidome of cultured human liver cells (Hep3B). Hep3B cells were treated with simvastatin (5 μM), cyclodextrin (20 mg/mL) or cholesterol-loaded cyclodextrin (20 mg/mL) for 48 h and their lipidomes were examined. Induction of a low-cholesterol environment via simvastatin or cyclodextrin was associated with elevated levels of lipids containing arachidonic acid and decreases in phosphatidylinositol species and the PI(36:2)/PC(18:0_20:4) ratio. Conversely, increasing cholesterol levels via cholesterol-loaded cyclodextrin resulted in reciprocal regulation of these lipid parameters. Expression of genes involved in cholesterol and fatty acid synthesis supported the lipidomics data. These findings demonstrate that the PI(36:2)/PC(18:0_20:4) ratio responds to changes in intracellular cholesterol abundance per se, likely through a flux of the n-6 fatty acid pathway and altered phosphatidylinositol synthesis. These findings support this ratio as a potential marker for CVD risk reduction and may be useful in monitoring treatment response.
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Affiliation(s)
- Yvette L. Schooneveldt
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3004, Australia
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
| | - Michael F. Keating
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;
| | - Natalie A. Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
| | - Aaron W. Jurrjens
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3004, Australia
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;
| | - Sudip Paul
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
| | - Anna C. Calkin
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3004, Australia
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
- Correspondence: (A.C.C.); (P.J.M.)
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (Y.L.S.); (C.G.); (N.A.M.); (A.W.J.); (S.P.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3004, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
- Correspondence: (A.C.C.); (P.J.M.)
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20
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Lim WLF, Huynh K, Chatterjee P, Martins I, Jayawardana KS, Giles C, Mellett NA, Laws SM, Bush AI, Rowe CC, Villemagne VL, Ames D, Drew BG, Masters CL, Meikle PJ, Martins RN. Relationships Between Plasma Lipids Species, Gender, Risk Factors, and Alzheimer's Disease. J Alzheimers Dis 2021; 76:303-315. [PMID: 32474467 PMCID: PMC7369125 DOI: 10.3233/jad-191304] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Lipid metabolism is altered in Alzheimer’s disease (AD); however, the relationship between AD risk factors (age, APOEɛ4, and gender) and lipid metabolism is not well defined. Objective: We investigated whether altered lipid metabolism associated with increased age, gender, and APOE status may contribute to the development of AD by examining these risk factors in healthy controls and also clinically diagnosed AD individuals. Methods: We performed plasma lipidomic profiling (582 lipid species) of the Australian Imaging, Biomarkers and Lifestyle flagship study of aging cohort (AIBL) using liquid chromatography-mass spectrometry. Linear regression and interaction analysis were used to explore the relationship between risk factors and plasma lipid species. Results: We observed strong associations between plasma lipid species with gender and increasing age in cognitively normal individuals. However, APOEɛ4 was relatively weakly associated with plasma lipid species. Interaction analysis identified differential associations of sphingolipids and polyunsaturated fatty acid esterified lipid species with AD based on age and gender, respectively. These data indicate that the risk associated with age, gender, and APOEɛ4 may, in part, be mediated by changes in lipid metabolism. Conclusion: This study extends our existing knowledge of the relationship between the lipidome and AD and highlights the complexity of the relationships between lipid metabolism and AD at different ages and between men and women. This has important implications for how we assess AD risk and also for potential therapeutic strategies involving modulation of lipid metabolic pathways.
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Affiliation(s)
- Wei Ling Florence Lim
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC, Australia.,Monash University, Melbourne, Victoria, VIC, Australia
| | - Pratishtha Chatterjee
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, WA, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, New South Wales, NSW, Australia.,KaRa Institute of Neurological Disease, Sydney, Macquarie Park, New South Wales, NSW, Australia
| | - Ian Martins
- Cooperative Research Centre (CRC) for Mental Health, Australia
| | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC, Australia
| | - Natalie A Mellett
- Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC, Australia
| | - Simon M Laws
- Cooperative Research Centre (CRC) for Mental Health, Australia.,Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Western Australia, WA, Australia
| | - Ashley I Bush
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, VIC, Australia
| | - Christopher C Rowe
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, VIC, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, VIC, Australia
| | - Victor L Villemagne
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, VIC, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, VIC, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, VIC, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, Victoria, VIC, Australia
| | - Brian G Drew
- Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC, Australia.,Monash University, Melbourne, Victoria, VIC, Australia
| | - Colin L Masters
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Victoria, VIC, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC, Australia.,Monash University, Melbourne, Victoria, VIC, Australia
| | - Ralph N Martins
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, New South Wales, NSW, Australia.,KaRa Institute of Neurological Disease, Sydney, Macquarie Park, New South Wales, NSW, Australia.,School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia.,Australian Alzheimer's Research Foundation, Nedlands, Western Australia, WA, Australia
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21
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Paul S, Rasmiena AA, Huynh K, Smith AAT, Mellett NA, Jandeleit-Dahm K, Lancaster GI, Meikle PJ. Oral Supplementation of an Alkylglycerol Mix Comprising Different Alkyl Chains Effectively Modulates Multiple Endogenous Plasmalogen Species in Mice. Metabolites 2021; 11:metabo11050299. [PMID: 34066368 PMCID: PMC8148155 DOI: 10.3390/metabo11050299] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 03/29/2021] [Revised: 04/26/2021] [Accepted: 05/02/2021] [Indexed: 12/12/2022] Open
Abstract
Plasmalogens or alkenylphospholipids are a sub-class of glycerophospholipids with numerous biological functions and are thought to have protective effects against metabolic disease. Dietary supplementation with alkylglycerols (AKGs) has been shown to increase endogenous plasmalogen levels, however effective modulation of different molecular plasmalogen species has not yet been demonstrated. In this study, the effects of an orally-administered AKG mix (a mixture of chimyl, batyl and selachyl alcohol at a 1:1:1 ratio) on plasma and tissue lipids, including plasmalogens, was evaluated. Mice on a Western-type diet were treated with either an AKG mix or vehicle (lecithin) for 1, 2, 4, 8 and 12 weeks. Treatment with the AKG mix significantly increased the total plasmalogen content of plasma, liver and adipose tissue as a result of elevations in multiple plasmalogen species with different alkenyl chains. Alkylphospholipids, the endogenous precursors of plasmalogens, showed a rapid and significant increase in plasma, adipose tissue, liver and skeletal muscle. A significant accumulation of alkyl-diacylglycerol and lyso-ether phospholipids was also observed in plasma and tissues. Additionally, the dynamics of plasmalogen-level changes following AKG mix supplementation differed between tissues. These findings indicate that oral supplementation with an AKG mix is capable of upregulating and maintaining stable expression of multiple molecular plasmalogen species in circulation and tissues.
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Affiliation(s)
- Sudip Paul
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia;
| | - Aliki A. Rasmiena
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
| | - Adam Alexander T. Smith
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
| | - Natalie A. Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
| | - Karin Jandeleit-Dahm
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia;
| | - Graeme I. Lancaster
- Hematopoiesis and Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (S.P.); (A.A.R.); (K.H.); (A.A.T.S.); (N.A.M.)
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia;
- Correspondence: ; Tel.: +61-3-8532-1770
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22
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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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23
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Hilvo M, Meikle PJ, Pedersen ER, Tell GS, Dhar I, Brenner H, Schöttker B, Lääperi M, Kauhanen D, Koistinen KM, Jylhä A, Huynh K, Mellett NA, Tonkin AM, Sullivan DR, Simes J, Nestel P, Koenig W, Rothenbacher D, Nygård O, Laaksonen R. Development and validation of a ceramide- and phospholipid-based cardiovascular risk estimation score for coronary artery disease patients. Eur Heart J 2021; 41:371-380. [PMID: 31209498 DOI: 10.1093/eurheartj/ehz387] [Citation(s) in RCA: 110] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 04/13/2019] [Accepted: 05/20/2019] [Indexed: 11/12/2022] Open
Abstract
AIMS Distinct ceramide lipids have been shown to predict the risk for cardiovascular disease (CVD) events, especially cardiovascular death. As phospholipids have also been linked with CVD risk, we investigated whether the combination of ceramides with phosphatidylcholines (PCs) would be synergistic in the prediction of CVD events in patients with atherosclerotic coronary heart disease in three independent cohort studies. METHODS AND RESULTS Ceramides and PCs were analysed using liquid chromatography-mass spectrometry (LC-MS) in three studies: WECAC (The Western Norway Coronary Angiography Cohort) (N = 3789), LIPID (Long-Term Intervention with Pravastatin in Ischaemic Disease) trial (N = 5991), and KAROLA (Langzeiterfolge der KARdiOLogischen Anschlussheilbehandlung) (N = 1023). A simple risk score, based on the ceramides and PCs showing the best prognostic features, was developed in the WECAC study and validated in the two other cohorts. This score was highly significant in predicting CVD mortality [multiadjusted hazard ratios (HRs; 95% confidence interval) per standard deviation were 1.44 (1.28-1.63) in WECAC, 1.47 (1.34-1.61) in the LIPID trial, and 1.69 (1.31-2.17) in KAROLA]. In addition, a combination of the risk score with high-sensitivity troponin T increased the HRs to 1.63 (1.44-1.85) and 2.04 (1.57-2.64) in WECAC and KAROLA cohorts, respectively. The C-statistics in WECAC for the risk score combined with sex and age was 0.76 for CVD death. The ceramide-phospholipid risk score showed comparable and synergistic predictive performance with previously published CVD risk models for secondary prevention. CONCLUSION A simple ceramide- and phospholipid-based risk score can efficiently predict residual CVD event risk in patients with coronary artery disease.
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Affiliation(s)
- Mika Hilvo
- Zora Biosciences Oy, Tietotie 2C, 02150 Espoo, Finland
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne VIC 3004, Australia.,Department of Diabetes, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, 99 Commercial Road, Melbourne VIC 3004, Australia
| | - Eva Ringdal Pedersen
- Department of Heart Disease, Haukeland University Hospital, Jonas Lies veg 65, 5021 Bergen, Norway
| | - Grethe S Tell
- Department of Global Public Health and Primary Care, University of Bergen, Kalfarveien 31, 5020 Bergen, Norway
| | - Indu Dhar
- Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021 Bergen, Norway
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany.,Network Ageing Research, University of Heidelberg, Bergheimer Straße 20, D-69115 Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany.,Network Ageing Research, University of Heidelberg, Bergheimer Straße 20, D-69115 Heidelberg, Germany
| | - Mitja Lääperi
- Zora Biosciences Oy, Tietotie 2C, 02150 Espoo, Finland
| | | | | | - Antti Jylhä
- Zora Biosciences Oy, Tietotie 2C, 02150 Espoo, Finland
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne VIC 3004, Australia
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne VIC 3004, Australia
| | - Andrew M Tonkin
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne VIC 3004, Australia
| | - David R Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, 50 Missenden Road, Camperdown NSW 2050, Sydney, Australia
| | - John Simes
- The NHMRC Clinical Trials Centre, University of Sydney, 92-94 Parramatta Rd, Camperdown NSW 2050, Sydney, Australia
| | - Paul Nestel
- Heart Centre, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne VIC 3004, Australia
| | - Wolfgang Koenig
- Klinik für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Lazarettstr. 36, D-80636 Munich, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Lazarettstr. 36, D-80636 Munich, Germany.,Institute of Epidemiology and Medical Biometry, Helmholtzstr. 22, D-89081 Ulm University, Ulm, Germany
| | - Dietrich Rothenbacher
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany.,Institute of Epidemiology and Medical Biometry, Helmholtzstr. 22, D-89081 Ulm University, Ulm, Germany
| | - Ottar Nygård
- Department of Heart Disease, Haukeland University Hospital, Jonas Lies veg 65, 5021 Bergen, Norway.,Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021 Bergen, Norway
| | - Reijo Laaksonen
- Zora Biosciences Oy, Tietotie 2C, 02150 Espoo, Finland.,Finnish Cardiovascular Research Center, University of Tampere, Arvo Ylpön katu 34, 33520 Tampere, Finland.,Finnish Clinical Biobank Tampere, Tampere University Hospital, Biokatu 12, 33520 Tampere, Finland
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24
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Pernes G, Morgan PK, Huynh K, Mellett NA, Meikle PJ, Murphy AJ, Henstridge DC, Lancaster GI. Characterization of the circulating and tissue-specific alterations to the lipidome in response to moderate and major cold stress in mice. Am J Physiol Regul Integr Comp Physiol 2021; 320:R95-R104. [PMID: 33175588 DOI: 10.1152/ajpregu.00112.2020] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
This study analyzed the effects of 24 h of cold stress (22°C or 5°C vs. mice maintained at 30 °C) on the plasma, brown adipose tissue (BAT), subcutaneous (SubQ) and epididymal (Epi) white adipose tissue (WAT), liver, and skeletal muscle lipidome of mice. Using mass spectrometry-lipidomics, 624 lipid species were detected, of which 239 were significantly altered in plasma, 134 in BAT, and 51 in the liver. In plasma, acylcarnitines and free fatty acids were markedly increased at 5°C. Plasma triacylglycerols (TGs) were reduced at 22°C and 5°C. We also identified ether lipids as a novel, cold-induced lipid class. In BAT, TGs were the principal lipid class affected by cold stress, being significantly reduced at both 22°C and 5°C. Interestingly, although BAT TG species were uniformly affected at 5°C, at 22°C we observed species-dependent effects, with TGs containing longer and more unsaturated fatty acids particularly sensitive to the effects of cold. In the liver, TGs were the most markedly affected lipid class, increasing in abundance at 5 °C. TGs containing longer and more unsaturated fatty acids accumulated to a greater degree. Our work demonstrates the following: 1) acute exposure to moderate (22°C) cold stress alters the plasma and BAT lipidome; although this effect is markedly less pronounced than at 5°C. 2) Cold stress at 5°C dramatically alters the plasma lipidome, with ether lipids identified as a novel lipid class altered by cold exposure. 3) Cold-induced alterations in liver and BAT TG levels are not uniform, with changes being influenced by acyl chain composition.
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Affiliation(s)
- Gerard Pernes
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Pooranee K Morgan
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Life Sciences, La Trobe University, Melbourne, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Life Sciences, La Trobe University, Melbourne, Australia.,Department of Immunology, Monash University, Melbourne, Australia
| | - Darren C Henstridge
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Health Sciences, University of Tasmania, Launceston, Australia
| | - Graeme I Lancaster
- Baker Heart and Diabetes Institute, Melbourne, Australia.,Department of Immunology, Monash University, Melbourne, Australia
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25
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Beyene HB, Olshansky G, T Smith AA, Giles C, Huynh K, Cinel M, Mellett NA, Cadby G, Hung J, Hui J, Beilby J, Watts GF, Shaw JE, Moses EK, Magliano DJ, Meikle PJ. Correction: High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies. PLoS Biol 2020; 18:e3001049. [PMID: 33296359 PMCID: PMC7725286 DOI: 10.1371/journal.pbio.3001049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pbio.3000870.].
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26
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Meikle PJ, Giles C, Cadby G, Huynh K, Mellett NA, Olshansky G, Smith A, Nguyen A, Chatterjee P, Martins I, Laws SM, Bush AI, Rowe CC, Villemagne VL, Ames D, Masters CL, Arnold M, Kastenmüller G, Nho K, Saykin AJ, Baillie R, Han X, Inouye M, Martins RN, Kaddurah‐Daouk RF, Moses E. Genome‐wide study of the human lipidome and links to Alzheimer’s disease risk. Alzheimers Dement 2020. [DOI: 10.1002/alz.045600] [Citation(s) in RCA: 1] [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: 11/06/2022]
Affiliation(s)
| | - Corey Giles
- Baker Heart and Diabetes Institute Melbourne Australia
| | - Gemma Cadby
- The University of Western Australia Perth Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | | | | | - Anh Nguyen
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | | | | | - Ashley I. Bush
- The Florey Institute of Neuroscience and Mental Health Melbourne Australia
| | | | | | - David Ames
- The University of Melbourne Parkville Australia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health Melbourne Australia
| | - Matthias Arnold
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health Neuherberg Germany
| | | | - Kwangsik Nho
- Indiana University School of Medicine Indianapolis IN USA
| | | | | | - Xianlin Han
- Sanford‐Burnham Medical Research Institute Orlando FL USA
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27
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Huynh K, Lim WLF, Giles C, Jayawardana KS, Salim A, Mellett NA, Smith A, Olshansky G, Drew BG, Chatterjee P, Martins I, Laws SM, Bush AI, Rowe CC, Villemagne VLL, Ames D, Masters CL, Arnold M, Nho K, Saykin AJ, Baillie R, Han X, Kaddurah‐Daouk RF, Martins RN, Meikle PJ. Identification of concordant plasma lipid signatures in Alzheimer’s disease: Validation between two independent studies of Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.042275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Kevin Huynh
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | - Corey Giles
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | - Agus Salim
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | | | | | - Brian G Drew
- Baker Heart and Diabetes Institute Melbourne Australia
| | | | | | | | | | | | | | - David Ames
- The University of Melbourne Parkville Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health Melbourne Australia
| | - Matthias Arnold
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany
| | - Kwangsik Nho
- Indiana University School of Medicine Indianapolis IN USA
| | | | | | - Xianlin Han
- Sanford‐Burnham Medical Research Institute Orlando FL USA
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28
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Huynh K, Lim WLF, Giles C, Jayawardana KS, Salim A, Mellett NA, Smith AAT, Olshansky G, Drew BG, Chatterjee P, Martins I, Laws SM, Bush AI, Rowe CC, Villemagne VL, Ames D, Masters CL, Arnold M, Nho K, Saykin AJ, Baillie R, Han X, Kaddurah-Daouk R, Martins RN, Meikle PJ. Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer's disease. Nat Commun 2020; 11:5698. [PMID: 33173055 PMCID: PMC7655942 DOI: 10.1038/s41467-020-19473-7] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 10/15/2020] [Indexed: 11/22/2022] Open
Abstract
Changes to lipid metabolism are tightly associated with the onset and pathology of Alzheimer's disease (AD). Lipids are complex molecules comprising many isomeric and isobaric species, necessitating detailed analysis to enable interpretation of biological significance. Our expanded targeted lipidomics platform (569 species across 32 classes) allows for detailed lipid separation and characterisation. In this study we examined peripheral samples of two cohorts (AIBL, n = 1112 and ADNI, n = 800). We are able to identify concordant peripheral signatures associated with prevalent AD arising from lipid pathways including; ether lipids, sphingolipids (notably GM3 gangliosides) and lipid classes previously associated with cardiometabolic disease (phosphatidylethanolamine and triglycerides). We subsequently identified similar lipid signatures in both cohorts with future disease. Lastly, we developed multivariate lipid models that improved classification and prediction. Our results provide a holistic view between the lipidome and AD using a comprehensive approach, providing targets for further mechanistic investigation.
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Affiliation(s)
- Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Monash University, Melbourne, VIC, 3800, Australia
| | - Wei Ling Florence Lim
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Cooperative research Centre (CRC) for Mental Health, Sydney, NSW, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | - Agus Salim
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
- Melbourne School of Global and Population Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
- School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | | | | | | | - Brian G Drew
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Monash University, Melbourne, VIC, 3800, Australia
| | - Pratishtha Chatterjee
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- KaRa Institute of Neurological Disease, Sydney, NSW, Australia
| | - Ian Martins
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Cooperative research Centre (CRC) for Mental Health, Sydney, NSW, Australia
| | - Simon M Laws
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Collaborative Genomics Group, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
| | - Ashley I Bush
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Christopher C Rowe
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | - Victor L Villemagne
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, VIC, 3050, Australia
| | - Colin L Masters
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA.
- Department of Medicine, Duke University, Durham, NC, USA.
| | - Ralph N Martins
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.
- Cooperative research Centre (CRC) for Mental Health, Sydney, NSW, Australia.
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia.
- KaRa Institute of Neurological Disease, Sydney, NSW, Australia.
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia.
- Australian Alzheimer's Research Foundation, Nedlands, WA, Australia.
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Monash University, Melbourne, VIC, 3800, Australia.
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29
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Beyene HB, Olshansky G, T. Smith AA, Giles C, Huynh K, Cinel M, Mellett NA, Cadby G, Hung J, Hui J, Beilby J, Watts GF, Shaw JS, Moses EK, Magliano DJ, Meikle PJ. High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies. PLoS Biol 2020; 18:e3000870. [PMID: 32986697 PMCID: PMC7544135 DOI: 10.1371/journal.pbio.3000870] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [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: 02/25/2020] [Revised: 10/08/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Obesity and related metabolic diseases show clear sex-related differences. The growing burden of these diseases calls for better understanding of the age- and sex-related metabolic consequences. High-throughput lipidomic analyses of population-based cohorts offer an opportunity to identify disease-risk-associated biomarkers and to improve our understanding of lipid metabolism and biology at a population level. Here, we comprehensively examined the relationship between lipid classes/subclasses and molecular species with age, sex, and body mass index (BMI). Furthermore, we evaluated sex specificity in the association of the plasma lipidome with age and BMI. Some 747 targeted lipid measures, representing 706 molecular lipid species across 36 classes/subclasses, were measured using a high-performance liquid chromatography coupled mass spectrometer on a total of 10,339 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), with 563 lipid species being validated externally on 4,207 participants of the Busselton Health Study (BHS). Heat maps were constructed to visualise the relative differences in lipidomic profile between men and women. Multivariable linear regression analyses, including sex-interaction terms, were performed to assess the associations of lipid species with cardiometabolic phenotypes. Associations with age and sex were found for 472 (66.9%) and 583 (82.6%) lipid species, respectively. We further demonstrated that age-associated lipidomic fingerprints differed by sex. Specific classes of ether-phospholipids and lysophospholipids (calculated as the sum composition of the species within the class) were inversely associated with age in men only. In analyses with women alone, higher triacylglycerol and lower lysoalkylphosphatidylcholine species were observed among postmenopausal women compared with premenopausal women. We also identified sex-specific associations of lipid species with obesity. Lysophospholipids were negatively associated with BMI in both sexes (with a larger effect size in men), whilst acylcarnitine species showed opposing associations based on sex (positive association in women and negative association in men). Finally, by utilising specific lipid ratios as a proxy for enzymatic activity, we identified stearoyl CoA desaturase (SCD-1), fatty acid desaturase 3 (FADS3), and plasmanylethanolamine Δ1-desaturase activities, as well as the sphingolipid metabolic pathway, as constituent perturbations of cardiometabolic phenotypes. Our analyses elucidate the effect of age and sex on lipid metabolism by offering a comprehensive view of the lipidomic profiles associated with common cardiometabolic risk factors. These findings have implications for age- and sex-dependent lipid metabolism in health and disease and suggest the need for sex stratification during lipid biomarker discovery, establishing biological reference intervals for assessment of disease risk.
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Affiliation(s)
- Habtamu B. Beyene
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | | | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | - Gemma Cadby
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Joseph Hung
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
| | - Jennie Hui
- School of Population and Global Health, University of Western Australia, Perth, Australia
- PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia
| | - John Beilby
- PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia
| | - Gerald F. Watts
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia
| | | | - Eric K. Moses
- Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
| | - Dianna J. Magliano
- Baker Heart and Diabetes Institute, Melbourne, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
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30
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Meikle PJ, Formosa MF, Mellett NA, Jayawardana KS, Giles C, Bertovic DA, Jennings GL, Childs W, Reddy M, Carey AL, Baradi A, Nanayakkara S, Wilson AM, Duffy SJ, Kingwell BA. HDL Phospholipids, but Not Cholesterol Distinguish Acute Coronary Syndrome From Stable Coronary Artery Disease. J Am Heart Assoc 2020; 8:e011792. [PMID: 31131674 PMCID: PMC6585356 DOI: 10.1161/jaha.118.011792] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Although acute coronary syndromes (ACS) are a major cause of morbidity and mortality, relationships with biologically active lipid species potentially associated with plaque disruption/erosion in the context of their lipoprotein carriers are indeterminate. The aim was to characterize lipid species within lipoprotein particles which differentiate ACS from stable coronary artery disease. Methods and Results Venous blood was obtained from 130 individuals with de novo presentation of an ACS (n=47) or stable coronary artery disease (n=83) before coronary catheterization. Lipidomic measurements (533 lipid species; liquid chromatography electrospray ionization/tandem mass spectrometry) were performed on whole plasma as well as 2 lipoprotein subfractions: apolipoprotein A1 (apolipoprotein A, high‐density lipoprotein) and apolipoprotein B. Compared with stable coronary artery disease, ACS plasma was lower in phospholipids including lyso species and plasmalogens, with the majority of lipid species differing in abundance located within high‐density lipoprotein (high‐density lipoprotein, 113 lipids; plasma, 73 lipids). Models including plasma lipid species alone improved discrimination between the stable and ACS groups by 0.16 (C‐statistic) compared with conventional risk factors. Models utilizing lipid species either in plasma or within lipoprotein fractions had a similar ability to discriminate groups, though the C‐statistic was highest for plasma lipid species (0.80; 95% CI, 0.75–0.86). Conclusions Multiple lysophospholipids, but not cholesterol, featured among the lipids which were present at low concentration within high‐density lipoprotein of those presenting with ACS. Lipidomics, when applied to either whole plasma or lipoprotein fractions, was superior to conventional risk factors in discriminating ACS from stable coronary artery disease. These associative mechanistic insights elucidate potential new preventive, prognostic, and therapeutic avenues for ACS which require investigation in prospective analyses.
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Affiliation(s)
| | | | | | | | - Corey Giles
- Baker Heart and Diabetes InstituteMelbourneAustralia
| | - David A. Bertovic
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Department of CardiologyThe Alfred HospitalMelbourneAustralia
| | - Garry L. Jennings
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Department of CardiologyThe Alfred HospitalMelbourneAustralia
| | - Wayne Childs
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Department of CardiologyThe Alfred HospitalMelbourneAustralia
- Box Hill HospitalMelbourneAustralia
| | - Medini Reddy
- Baker Heart and Diabetes InstituteMelbourneAustralia
| | | | | | - Shane Nanayakkara
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Department of CardiologyThe Alfred HospitalMelbourneAustralia
| | | | - Stephen J. Duffy
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Department of CardiologyThe Alfred HospitalMelbourneAustralia
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31
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Chapman MJ, Orsoni A, Tan R, Mellett NA, Nguyen A, Robillard P, Giral P, Thérond P, Meikle PJ. LDL subclass lipidomics in atherogenic dyslipidemia: effect of statin therapy on bioactive lipids and dense LDL. J Lipid Res 2020; 61:911-932. [PMID: 32295829 PMCID: PMC7269759 DOI: 10.1194/jlr.p119000543] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 04/01/2020] [Indexed: 01/05/2023] Open
Abstract
Atherogenic LDL particles are physicochemically and metabolically heterogeneous. Can bioactive lipid cargo differentiate LDL subclasses, and thus potential atherogenicity? What is the effect of statin treatment? Obese hypertriglyceridemic hypercholesterolemic males [n = 12; lipoprotein (a) <10 mg/dl] received pitavastatin calcium (4 mg/day) for 180 days in a single-phase unblinded study. The lipidomic profiles (23 lipid classes) of five LDL subclasses fractionated from baseline and post-statin plasmas were determined by LC-MS. At baseline and on statin treatment, very small dense LDL (LDL5) was preferentially enriched (up to 3-fold) in specific lysophospholipids {LPC, lysophosphatidylinositol (LPI), lysoalkylphosphatidylcholine [LPC(O)]; 9, 0.2, and 0.14 mol per mole of apoB, respectively; all P < 0.001 vs. LDL1-4}, suggesting elevated inflammatory potential per particle. In contrast, lysophosphatidylethanolamine was uniformly distributed among LDL subclasses. Statin treatment markedly reduced absolute plasma concentrations of all LDL subclasses (up to 33.5%), including LPC, LPI, and LPC(O) contents (up to -52%), consistent with reduction in cardiovascular risk. Despite such reductions, lipotoxic ceramide load per particle in LDL1-5 (1.5-3 mol per mole of apoB; 3-7 mmol per mole of PC) was either conserved or elevated. Bioactive lipids may constitute biomarkers for the cardiometabolic risk associated with specific LDL subclasses in atherogenic dyslipidemia at baseline, and with residual risk on statin therapy.
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Affiliation(s)
- M John Chapman
- Endocrinology Metabolism Division, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France; Metabolomics Laboratory Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. mailto:
| | - Alexina Orsoni
- Service de Biochimie AP-HP, HU Paris-Saclay, Bicetre University Hospital, Le Kremlin Bicêtre and EA 7357, Paris-Saclay University, Chatenay-Malabry, France
| | - Ricardo Tan
- Metabolomics Laboratory Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Natalie A Mellett
- Metabolomics Laboratory Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Anh Nguyen
- Metabolomics Laboratory Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Paul Robillard
- Endocrinology Metabolism Division, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France
| | - Philippe Giral
- INSERM UMR1166 and Cardiovascular Prevention Units, ICAN-Institute of CardioMetabolism and Nutrition, AP-HP, Pitié-Salpetrière University Hospital, Paris, France
| | - Patrice Thérond
- Service de Biochimie AP-HP, HU Paris-Saclay, Bicetre University Hospital, Le Kremlin Bicêtre and EA 7357, Paris-Saclay University, Chatenay-Malabry, France
| | - Peter J Meikle
- Metabolomics Laboratory Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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32
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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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33
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Cadby G, Melton PE, McCarthy NS, Giles C, Mellett NA, Huynh K, Hung J, Beilby J, Dubé MP, Watts GF, Blangero J, Meikle PJ, Moses EK. Heritability of 596 lipid species and genetic correlation with cardiovascular traits in the Busselton Family Heart Study. J Lipid Res 2020; 61:537-545. [PMID: 32060071 DOI: 10.1194/jlr.ra119000594] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/12/2020] [Indexed: 12/22/2022] Open
Abstract
CVD is the leading cause of death worldwide, and genetic investigations into the human lipidome may provide insight into CVD risk. The aim of this study was to estimate the heritability of circulating lipid species and their genetic correlation with CVD traits. Targeted lipidomic profiling was performed on 4,492 participants from the Busselton Family Heart Study to quantify the major fatty acids of 596 lipid species from 33 classes. We estimated narrow-sense heritabilities of lipid species/classes and their genetic correlations with eight CVD traits: BMI, HDL-C, LDL-C, triglycerides, total cholesterol, waist-hip ratio, systolic blood pressure, and diastolic blood pressure. We report heritabilities and genetic correlations of new lipid species/subclasses, including acylcarnitine (AC), ubiquinone, sulfatide, and oxidized cholesteryl esters. Over 99% of lipid species were significantly heritable (h2: 0.06-0.50) and all lipid classes were significantly heritable (h2: 0.14-0.50). The monohexosylceramide and AC classes had the highest median heritabilities (h2 = 0.43). The largest genetic correlation was between clinical triglycerides and total diacylglycerol (rg = 0.88). We observed novel positive genetic correlations between clinical triglycerides and phosphatidylglycerol species (rg: 0.64-0.82), and HDL-C and alkenylphosphatidylcholine species (rg: 0.45-0.74). Overall, 51% of the 4,768 lipid species-CVD trait genetic correlations were statistically significant after correction for multiple comparisons. This is the largest lipidomic study to address the heritability of lipids and their genetic correlation with CVD traits. Future work includes identifying putative causal genetic variants for lipid species and CVD using genome-wide SNP and whole-genome sequencing data.
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Affiliation(s)
- Gemma Cadby
- School of Population and Global Health, University of Western Australia, Crawley, Australia .,Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Australia
| | - Phillip E Melton
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Australia.,Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia.,School of Biomedical Sciences, Curtin University, Bentley, Australia
| | - Nina S McCarthy
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Australia
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Joseph Hung
- School of Medicine, University of Western Australia, Crawley, Australia.,Department of Cardiovascular Medicine, Nedlands, Australia
| | - John Beilby
- Busselton Population Medical Research Institute Inc., Sir Charles Gairdner Hospital, Busselton, Australia.,PathWest Laboratory Medicine WA, Perth, Australia
| | - Marie-Pierre Dubé
- Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal Heart Institute, Montreal, Canada
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Crawley, Australia.,Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Eric K Moses
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Australia.,Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
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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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35
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Sung HH, Sinclair AJ, Huynh K, Smith AT, Mellett NA, Meikle PJ, Su XQ. Differential plasma postprandial lipidomic responses to krill oil and fish oil supplementations in women: A randomized crossover study. Nutrition 2019; 65:191-201. [DOI: 10.1016/j.nut.2019.03.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/14/2019] [Accepted: 03/01/2019] [Indexed: 10/26/2022]
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Diehl P, Nienaber F, Zaldivia MTK, Stamm J, Siegel PM, Mellett NA, Wessinger M, Wang X, McFadyen JD, Bassler N, Puetz G, Htun NM, Braig D, Habersberger J, Helbing T, Eisenhardt SU, Fuller M, Bode C, Meikle PJ, Chen YC, Peter K. Lysophosphatidylcholine is a Major Component of Platelet Microvesicles Promoting Platelet Activation and Reporting Atherosclerotic Plaque Instability. Thromb Haemost 2019; 119:1295-1310. [PMID: 31378855 DOI: 10.1055/s-0039-1683409] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND Microvesicles (MVs) are small cell-derived vesicles, which are mainly released by activated cells. They are part of a communication network delivering biomolecules, for example, inflammatory molecules, via the blood circulation to remote cells in the body. Platelet-derived MVs are known to induce vascular inflammation. Research on the mediators and mechanisms of their inflammatory effects has attracted major interest. We hypothesize that specific lipids are the mediators of vascular inflammation caused by platelet-derived MVs. METHODS AND RESULTS Liquid chromatography electrospray ionization-tandem mass spectrometry was used for lipid profiling of platelet-derived MVs. Lysophosphatidylcholine (LPC) was found to be a major component of platelet-derived MVs. Investigating the direct effects of LPC, we found that it induces platelet activation, spreading, migration and aggregation as well as formation of inflammatory platelet-monocyte aggregates. We show for the first time that platelets express the LPC receptor G2AR, which mediates LPC-induced platelet activation. In a mouse model of atherosclerotic plaque instability/rupture, circulating LPC was detected as a surrogate marker of plaque instability. These findings were confirmed by matrix-assisted laser desorption ionization imaging, which showed that the LPC concentration of human plaques was highest in vulnerable plaque regions. CONCLUSION LPC is a major component of platelet-derived MVs and via its interaction with G2AR on platelets contributes to platelet activation, spreading, migration and aggregation and ultimately to vascular inflammation. Circulating LPC reports on atherosclerotic plaque instability in mice and is significantly increased in unstable areas of atherosclerotic plaques in both mice and humans, linking LPC to plaque instability.
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Affiliation(s)
- Philipp Diehl
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia.,Department of Cardiology and Angiology I, Faculty of Medicine, Heart Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Frederik Nienaber
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Maria T K Zaldivia
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Johannes Stamm
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Patrick M Siegel
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia.,Department of Cardiology and Angiology I, Faculty of Medicine, Heart Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Marius Wessinger
- Department of Cardiology and Angiology I, Faculty of Medicine, Heart Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Xiaowei Wang
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - James D McFadyen
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Nicole Bassler
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Gerhard Puetz
- Institute for Clinical Chemistry and Laboratory Medicine, University of Freiburg, Freiburg, Germany
| | - Nay M Htun
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - David Braig
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia.,Department of Plastic and Hand Surgery, University of Freiburg, Freiburg, Germany
| | - Jonathon Habersberger
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Thomas Helbing
- Department of Cardiology and Angiology I, Faculty of Medicine, Heart Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Steffen U Eisenhardt
- Department of Plastic and Hand Surgery, University of Freiburg, Freiburg, Germany
| | - Maria Fuller
- Centre for Molecular Pathology, University of Adelaide, Adelaide, Australia
| | - Christoph Bode
- Department of Cardiology and Angiology I, Faculty of Medicine, Heart Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Yung Chih Chen
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Karlheinz Peter
- Department of Atherothrombosis and Vascular Biology, Baker Heart and Diabetes Institute, Melbourne, Australia
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Jayawardana KS, Mundra PA, Giles C, Barlow CK, Nestel PJ, Barnes EH, Kirby A, Thompson P, Sullivan DR, Alshehry ZH, Mellett NA, Huynh K, McConville MJ, Zoungas S, Hillis GS, Chalmers J, Woodward M, Marschner IC, Wong G, Kingwell BA, Simes J, Tonkin AM, Meikle PJ. Changes in plasma lipids predict pravastatin efficacy in secondary prevention. JCI Insight 2019; 4:128438. [PMID: 31292301 DOI: 10.1172/jci.insight.128438] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/22/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUNDStatins have pleiotropic effects on lipid metabolism. The relationship between these effects and future cardiovascular events is unknown. We characterized the changes in lipids upon pravastatin treatment and defined the relationship with risk reduction for future cardiovascular events.METHODSPlasma lipids (n = 342) were measured in baseline and 1-year follow-up samples from a Long-Term Intervention with Pravastatin in Ischaemic Disease (LIPID) study subcohort (n = 4991). The associations of changes in lipids with treatment and cardiovascular outcomes were investigated using linear and Cox regression. The effect of treatment on future cardiovascular outcomes was examined by the relative risk reduction (RRR).RESULTSPravastatin treatment was associated with changes in 206 lipids. Species containing arachidonic acid were positively associated while phosphatidylinositol species were negatively associated with pravastatin treatment. The RRR from pravastatin treatment for cardiovascular events decreased from 23.5% to 16.6% after adjustment for clinical risk factors and change in LDL-cholesterol (LDL-C) and to 3.0% after further adjustment for the change in the lipid ratio PI(36:2)/PC(38:4). Change in PI(36:2)/PC(38:4) mediated 58% of the treatment effect. Stratification of patients into quartiles of change in PI(36:2)/PC(38:4) indicated no benefit of pravastatin in the fourth quartile.CONCLUSIONThe change in PI(36:2)/PC(38:4) predicted benefit from pravastatin, independent of change in LDL-C, demonstrating its potential as a biomarker for monitoring the clinical benefit of statin treatment in secondary prevention.TRIAL REGISTRATIONAustralian New Zealand Clinical Trials Registry identifier ACTRN12616000535471.FUNDINGBristol-Myers Squibb; NHMRC grants 211086, 358395, and 1029754; NHMRC program grant 1149987; NHMRC fellowship 108026; and the Operational Infrastructure Support Program of the Victorian government of Australia.
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Affiliation(s)
| | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Paul J Nestel
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Elizabeth H Barnes
- National Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Adrienne Kirby
- National Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Peter Thompson
- Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - David R Sullivan
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Zahir H Alshehry
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,King Fahad Medical City, Riyadh, Saudi Arabia
| | | | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Malcolm J McConville
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Sophia Zoungas
- The George Institute for Global Health, Sydney, New South Wales, Australia.,Monash University, Melbourne, Victoria, Australia
| | - Graham S Hillis
- The George Institute for Global Health, Sydney, New South Wales, Australia.,The Royal Perth Hospital and University of Western Australia, Perth, Western Australia, Australia
| | - John Chalmers
- The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Mark Woodward
- The George Institute for Global Health, Sydney, New South Wales, Australia.,The George Institute for Global Health, University of Oxford, England
| | - Ian C Marschner
- National Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.,Department of Mathematics and Statistics, Macquarie University, Sydney, New South Wales, Australia
| | - Gerard Wong
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - John Simes
- National Health and Medical Research Council of Australia (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Monash University, Melbourne, Victoria, Australia
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38
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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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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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40
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Mundra PA, Barlow CK, Nestel PJ, Barnes EH, Kirby A, Thompson P, Sullivan DR, Alshehry ZH, Mellett NA, Huynh K, Jayawardana KS, Giles C, McConville MJ, Zoungas S, Hillis GS, Chalmers J, Woodward M, Wong G, Kingwell BA, Simes J, Tonkin AM, Meikle PJ. Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention. JCI Insight 2018; 3:121326. [PMID: 30185661 DOI: 10.1172/jci.insight.121326] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [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: 04/09/2018] [Accepted: 07/26/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Plasma lipidomic measures may enable improved prediction of cardiovascular outcomes in secondary prevention. The aim of this study is to determine the association of plasma lipidomic measurements with cardiovascular events and assess their potential to predict such events. METHODS Plasma lipids (n = 342) were measured in a retrospective subcohort (n = 5,991) of the LIPID study. Proportional hazards regression was used to identify lipids associated with future cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death) and cardiovascular death. Multivariable models adding lipid species to traditional risk factors were created using lipid ranking established from the Akaike information criterion within a 5-fold cross-validation framework. The results were tested on a diabetic case cohort from the ADVANCE study (n = 3,779). RESULTS Specific ceramide species, sphingolipids, phospholipids, and neutral lipids containing omega-6 fatty acids or odd-chain fatty acids were associated with future cardiovascular events (106 species) and cardiovascular death (139 species). The addition of 7 lipid species to a base model (11 conventional risk factors) resulted in an increase in the C-statistics from 0.629 (95% CI, 0.628-0.630) to 0.654 (95% CI, 0.653-0.656) for prediction of cardiovascular events and from 0.673 (95% CI, 0.671-0.675) to 0.727 (95% CI, 0.725-0.728) for prediction of cardiovascular death. Categorical net reclassification improvements for cardiovascular events and cardiovascular death were 0.083 (95% CI, 0.081-0.086) and 0.166 (95% CI, 0.162-0.170), respectively. Evaluation on the ADVANCE case cohort demonstrated significant improvement on the base models. CONCLUSIONS The improvement in the prediction of cardiovascular outcomes, above conventional risk factors, demonstrates the potential of plasma lipidomic profiles as biomarkers for cardiovascular risk stratification in secondary prevention. FUNDING Bristol-Myers Squibb, the National Health and Medical Research Council of Australia (grants 211086, 358395, and 1029754), and the Operational Infrastructure Support Program of the Victorian government of Australia.
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Affiliation(s)
| | | | - Paul J Nestel
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Elizabeth H Barnes
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Adrienne Kirby
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Peter Thompson
- Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - David R Sullivan
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Zahir H Alshehry
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia.,King Fahad Medical City, Riyadh, Saudi Arabia
| | | | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Malcolm J McConville
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Sophia Zoungas
- The George Institute for Global Health, Sydney, New South Wales, Australia.,Monash University, Melbourne, Victoria, Australia
| | - Graham S Hillis
- The George Institute for Global Health, Sydney, New South Wales, Australia.,Royal Perth Hospital/University of Western Australia, Perth, Western Australia, Australia
| | - John Chalmers
- The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Mark Woodward
- The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Gerard Wong
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - John Simes
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia.,Monash University, Melbourne, Victoria, Australia
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41
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Trevillyan JM, Wong G, Puls R, Petoumenos K, Emery S, Mellett NA, Mundra PA, Meikle PJ, Hoy JF. Changes in plasma lipidome following initiation of antiretroviral therapy. PLoS One 2018; 13:e0202944. [PMID: 30157268 PMCID: PMC6114786 DOI: 10.1371/journal.pone.0202944] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Accepted: 08/13/2018] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION HIV and antiretroviral therapy (ART) have been associated with increased cardiovascular disease and important changes in lipid metabolism. Advances in mass-spectrometry technology allow for the detailed assessment of individual lipid species which may illuminate the mechanisms underlying increased cardiovascular risk. We describe the change in plasma lipidome with initiation of antiretroviral therapy and compare these by regimen. METHODS Plasma lipid profiling (by electrospray isonisation-tandem mass spectrometry) was performed on ARV-naive HIV positive participants randomised to one of three regimens; tenofovir/emtricitabine with efavirenz, ritonavir-boosted atazanavir (atazanavir/r) or zidovudine/abacavir. Participants (n = 115) who remained on their randomised regimen with complete samples available at baseline, week 12 and 48 were included. 306 lipid species from 22 lipid classes were analysed. RESULTS Initiation of ART led to significant changes in lipidome which were partly dependent on the randomised regimen received. This led to significant differences in 72 lipid species and 7 classes (cholesterol ester, free cholesterol, phosphatidylcholine, GM3 ganglioside, trihexosylceramide, monohexosylceramide, and ceramides) by arm at week 48. Consistently higher lipid concentrations were seen with efavirenz compared with atazanavir/r or zidovudine/abacavir. Twelve of the lipid species and two lipid classes (cholesterol esters and ceramides) that were significantly increased in the efavirenz arm compared with the atazanavir/r or zidovudine/abacavir arms have previously been associated with future cardiovascular events in HIV positive patients. Change in HIV viral load was predictive of change in 3 lipid species. CONCLUSIONS Initiation of ART lead to significant changes in the plasma lipidome that were greatest in those receiving efavirenz.
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Affiliation(s)
- Janine M. Trevillyan
- Department of Infectious Diseases, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
- * E-mail:
| | - Gerard Wong
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Rebekah Puls
- Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | | | - Sean Emery
- The Kirby Institute, UNSW Sydney, Sydney, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Australia
| | | | | | | | - Jennifer F. Hoy
- Department of Infectious Diseases, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
- Department of Infectious Diseases, Alfred Hospital, Melbourne, Australia
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42
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Kingwell BA, Formosa MF, Mellett NA, Jayawardana KA, Giles C, Bertovic DA, Jennings GL, Childs W, Reddy M, Baradi A, Nanayakkara S, Wilson AM, Duffy SJ, Meikle PJ. P775Acute coronary syndromes: mechanistic insights and risk prediction through lipoprotein lipidomics. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- B A Kingwell
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - M F Formosa
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - N A Mellett
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | - C Giles
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - D A Bertovic
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - G L Jennings
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - W Childs
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - M Reddy
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - A Baradi
- St Vincent's Hospital, Melbourne, Australia
| | | | - A M Wilson
- St Vincent's Hospital, Melbourne, Australia
| | - S J Duffy
- The Alfred Hospital, Melbourne, Australia
| | - P J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Australia
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Lancaster GI, Langley KG, Berglund NA, Kammoun HL, Reibe S, Estevez E, Weir J, Mellett NA, Pernes G, Conway JRW, Lee MKS, Timpson P, Murphy AJ, Masters SL, Gerondakis S, Bartonicek N, Kaczorowski DC, Dinger ME, Meikle PJ, Bond PJ, Febbraio MA. Evidence that TLR4 Is Not a Receptor for Saturated Fatty Acids but Mediates Lipid-Induced Inflammation by Reprogramming Macrophage Metabolism. Cell Metab 2018; 27:1096-1110.e5. [PMID: 29681442 DOI: 10.1016/j.cmet.2018.03.014] [Citation(s) in RCA: 280] [Impact Index Per Article: 46.7] [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] [Received: 06/23/2017] [Revised: 12/22/2017] [Accepted: 03/25/2018] [Indexed: 02/06/2023]
Abstract
Chronic inflammation is a hallmark of obesity and is linked to the development of numerous diseases. The activation of toll-like receptor 4 (TLR4) by long-chain saturated fatty acids (lcSFAs) is an important process in understanding how obesity initiates inflammation. While experimental evidence supports an important role for TLR4 in obesity-induced inflammation in vivo, via a mechanism thought to involve direct binding to and activation of TLR4 by lcSFAs, several lines of evidence argue against lcSFAs being direct TLR4 agonists. Using multiple orthogonal approaches, we herein provide evidence that while loss-of-function models confirm that TLR4 does, indeed, regulate lcSFA-induced inflammation, TLR4 is not a receptor for lcSFAs. Rather, we show that TLR4-dependent priming alters cellular metabolism, gene expression, lipid metabolic pathways, and membrane lipid composition, changes that are necessary for lcSFA-induced inflammation. These results reconcile previous discordant observations and challenge the prevailing view of TLR4's role in initiating obesity-induced inflammation.
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Affiliation(s)
- Graeme I Lancaster
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Immunology, Monash University, Melbourne, VIC 3004, Australia.
| | - Katherine G Langley
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Nils Anton Berglund
- Bioinformatics Institute (A(∗)STAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671, Singapore
| | - Helene L Kammoun
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Saskia Reibe
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | - Emma Estevez
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | - Jacquelyn Weir
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Natalie A Mellett
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Gerard Pernes
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - James R W Conway
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Man K S Lee
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Paul Timpson
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Immunology, Monash University, Melbourne, VIC 3004, Australia
| | - Seth L Masters
- Inflammation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Steve Gerondakis
- Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Nenad Bartonicek
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | | | - Marcel E Dinger
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Peter J Bond
- Bioinformatics Institute (A(∗)STAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671, Singapore; Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Singapore
| | - Mark A Febbraio
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia.
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Huynh K, Pernes G, Mellett NA, Meikle PJ, Murphy AJ, Lancaster GI. Lipidomic Profiling of Murine Macrophages Treated with Fatty Acids of Varying Chain Length and Saturation Status. Metabolites 2018; 8:metabo8020029. [PMID: 29690607 PMCID: PMC6027068 DOI: 10.3390/metabo8020029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 04/17/2018] [Accepted: 04/18/2018] [Indexed: 12/25/2022] Open
Abstract
Macrophages are abundant within adipose tissue depots where they are exposed to fatty acids, leading to lipid accumulation. Herein, we have determined the effects of various fatty acids on the macrophage lipidome. Using targeted mass-spectrometry, we were able to detect 641 individual lipid species in primary murine macrophages treated with a variety of saturated fatty acids and an un-saturated fatty acid, either alone or in combination. The most pronounced effects were observed for the long-chain saturated fatty acid palmitate, which increased the total abundance of numerous classes of lipids. While other medium- and long-chain saturated fatty acids, as well as the long-chain unsaturated fatty acid, had less pronounced effects on the total abundance of specific lipid classes, all fatty acids induced marked alterations in the abundance of numerous lipid species within given lipid classes. Fatty acid treatment markedly altered overall phospholipid saturation status; these effects were most pronounced for phosphatidylcholine and ether-phosphatidylcholine lipid species. Finally, treatment of macrophages with either palmitate or stearate in combination with oleate prevented many of the changes that were observed in macrophages treated with palmitate or stearate alone. Collectively, our results reveal substantial and specific remodelling of the macrophage lipidome following treatment with fatty acids.
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Affiliation(s)
- Kevin Huynh
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne 3004, Australia.
| | - Gerard Pernes
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne 3004, Australia.
| | - Natalie A Mellett
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne 3004, Australia.
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
- Department of Immunology, Monash University, Melbourne 3004, Australia.
| | - Graeme I Lancaster
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia.
- Department of Immunology, Monash University, Melbourne 3004, Australia.
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45
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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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McCloskey K, De Livera AM, Collier F, Ponsonby AL, Carlin JB, Vuillermin P, Mellett NA, Jayawardana K, Weir JM, Blangero J, Curran JE, Burgner D, Meikle PJ. Gestational Age and the Cord Blood Lipidomic Profile in Late Preterm and Term Infants. Neonatology 2018; 114:215-222. [PMID: 29940570 DOI: 10.1159/000487506] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 02/08/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND Lipid metabolism is vital to fetal development and cardiometabolic health and the final weeks of gestation are known to be a time of intense metabolic activity. New techniques such as lipidomics allow investigation of a complex lipidomic profile in infants. OBJECTIVES This research aimed to (1) describe variations in lipidomic profile in late preterm and term infants and (2) compare variations to an adult lipidomic profile with known clinical implications. METHODS The Barwon Infant Study (n = 1,074) is a population-derived pre-birth cohort study. The lipidomic profile of cord blood was measured by liquid chromatography-mass spectrometry in 225 participants and the association between gestational age and lipidomic profile was investigated using multiple linear regression adjusting for birth weight, exposure to labour, and infant sex. Patterns of association with gestational age across the lipidomic profile were compared with associations between body mass index (BMI) and lipidomic profile observed among adults in the San Antonia Family Heart Study (n = 994). RESULTS Gestational age was independently associated with the abundances of 39% of lipid species. Variations in the lipidomic profile with increasing gestational age were comparable to some variations observed in association with increasing BMI among adults. CONCLUSION There is a strong relationship between gestational age and the cord blood lipid profile at birth, providing further evidence for the importance of metabolic changes of late gestation. A number of the variations in the lipid profile with increasing gestational age are analogous to differences observed in the adult lipid profile with an increasing BMI.
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Affiliation(s)
- Kate McCloskey
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Barwon Health, Geelong, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alysha M De Livera
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Fiona Collier
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Barwon Health, Geelong, Victoria, Australia.,Deakin University, Geelong, Victoria, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - John B Carlin
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Peter Vuillermin
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Barwon Health, Geelong, Victoria, Australia.,Deakin University, Geelong, Victoria, Australia
| | - Natalie A Mellett
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Jacqueline M Weir
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Monash University, Melbourne, Victoria, Australia
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47
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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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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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49
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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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50
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Giles C, Takechi R, Mellett NA, Meikle PJ, Dhaliwal S, Mamo JC. Differential regulation of sphingolipid metabolism in plasma, hippocampus, and cerebral cortex of mice administered sphingolipid modulating agents. J Neurochem 2017; 141:413-422. [DOI: 10.1111/jnc.13964] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 01/10/2017] [Accepted: 01/16/2017] [Indexed: 01/27/2023]
Affiliation(s)
- Corey Giles
- Curtin Health Innovation Research Institute; Curtin University; Perth Western Australia Australia
- School of Public Health; Faculty of Health Sciences; Curtin University; Perth Western Australia Australia
| | - Ryusuke Takechi
- Curtin Health Innovation Research Institute; Curtin University; Perth Western Australia Australia
- School of Public Health; Faculty of Health Sciences; Curtin University; Perth Western Australia Australia
| | - Natalie A. Mellett
- 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
| | - Satvinder Dhaliwal
- School of Public Health; Faculty of Health Sciences; Curtin University; Perth Western Australia Australia
| | - John C. Mamo
- Curtin Health Innovation Research Institute; Curtin University; Perth Western Australia Australia
- School of Public Health; Faculty of Health Sciences; Curtin University; Perth Western Australia Australia
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