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Demmelmair H, Uhl O, Zhou SJ, Makrides M, Gibson RA, Prosser C, Gallier S, Koletzko B. Plasma sphingomyelins and carnitine esters of infants consuming whole goat or cow milk-based infant formulas or human milk. J Nutr 2024:S0022-3166(24)00223-2. [PMID: 38615734 DOI: 10.1016/j.tjnut.2024.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/12/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Infant formulas are typically manufactured using skimmed milk, whey proteins, and vegetable oils, which excludes milk fat globule membranes (MFGM). MFGM contains polar lipids including sphingomyelin (SM). OBJECTIVE Comparison of infant plasma SM and acylcarnitine species between infants who are breastfed or receiving infant formulas with different fat sources. METHODS In this explorative study we focused on SM and acylcarnitine species concentrations measured in plasma samples from the TIGGA study (ACTRN12608000047392), where infants were randomized to receive either a cow milk-based infant formula (CIF) with vegetable oils only or a goat milk-based infant formula (GIF) with a goat milk fat (including MFGM) and plant oil mixture at least up to the age of 4 months. Breastfed infants were followed as a reference group. Using tandem mass spectrometry, SM species in the study formulas and SM and acylcarnitine species in plasma samples collected at the age of four months were analyzed. RESULTS Total SM concentrations (around 42 μmol/L) and patterns of SM species were similar in both formulas. The total plasma SM concentrations were not different between the formula groups, but were 15 % (CIF) and 21% (GIF) lower in the formula groups than in the breast fed group. Between the formula groups, differences in SM species were statistically significant but small. Total carnitine and major (acyl) carnitine species were not different between the groups. CONCLUSIONS The higher total SM concentration in breastfed than in formula-fed infants might be related to a higher SM content in human milk, differences in cholesterol metabolism, dietary fatty acid intake or other factors not yet identified. SM and acylcarnitine species composition in plasma is not closely related to the formula fatty acid composition. CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE WHERE IT WAS OBTAINED ACTRN12608000047392 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=82514&isReview=true.
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Affiliation(s)
- Hans Demmelmair
- LMU - Ludwig Maximilians Universität Munich, Div. Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, Munich
| | - Olaf Uhl
- LMU - Ludwig Maximilians Universität Munich, Div. Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, Munich
| | - Shao J Zhou
- University of Adelaide, School of Agriculture, Food and Wine, Adelaide, Australia
| | - Maria Makrides
- University of Adelaide, Woman's and Children's Health Research Institute, Adelaide, Australia
| | - Robert A Gibson
- University of Adelaide, School of Agriculture, Food and Wine, Adelaide, Australia
| | - Colin Prosser
- Dairy Goat Co-operative (NZ) Ltd, Science Department, Hamilton, New Zealand
| | - Sophie Gallier
- Dairy Goat Co-operative (NZ) Ltd, Science Department, Hamilton, New Zealand
| | - Berthold Koletzko
- LMU - Ludwig Maximilians Universität Munich, Div. Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, Munich.
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Mandal N, Stentz F, Asuzu PC, Nyenwe E, Wan J, Dagogo-Jack S. Plasma Sphingolipid Profile of Healthy Black and White Adults Differs Based on Their Parental History of Type 2 Diabetes. J Clin Endocrinol Metab 2024; 109:740-749. [PMID: 37804534 PMCID: PMC10876402 DOI: 10.1210/clinem/dgad595] [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: 07/16/2023] [Revised: 09/18/2023] [Accepted: 10/05/2023] [Indexed: 10/09/2023]
Abstract
CONTEXT Ceramides and sphingolipids have been linked to type 2 diabetes (T2D). The Ceramides and Sphingolipids as Predictors of Incident Dysglycemia (CASPID) study is designed to determine the association of plasma sphingolipids with the pathophysiology of human T2D. OBJECTIVE A comparison of plasma sphingolipids profiles in Black and White adults with (FH+) and without (FH-) family history of T2D. DESIGN We recruited 100 Black and White FH- (54 Black, 46 White) and 140 FH+ (75 Black, 65 White) adults. Fasting plasma levels of 58 sphingolipid species, including 18 each from 3 major classes (ceramides, monohexosylceramides, and sphingomyelins, all with 18:1 sphingoid base) and 4 long-chain sphingoid base-containing species, were measured by liquid chromatography/mass spectrometry. RESULTS Sphingomyelin was the most abundant sphingolipid in plasma (89% in FH-), and was significantly elevated in FH+ subjects (93%). Ceramides and monohexosylceramides comprised 5% and 6% of total sphingolipids in the plasma of FH- subjects, and were reduced significantly in FH+ subjects (3% and 4%, respectively). In FH+ subjects, most ceramide and monohexosylceramide species were decreased but sphingomyelin species were increased. The level of C18:1 species of all 3 classes was elevated in FH+ subjects. CONCLUSION Elevated levels of sphingomyelin, the major sphingolipids of plasma, and oleic acid-containing sphingolipids in healthy FH+ subjects compared with healthy FH- subjects may reflect heritable elements linking sphingolipids and the development of T2D.
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Affiliation(s)
- Nawajes Mandal
- Departments of Ophthalmology, Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Research, Memphis VA Medical Center, Memphis, TN 38104, USA
| | - Frankie Stentz
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Peace Chiamaka Asuzu
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Ebenezer Nyenwe
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Jim Wan
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Sam Dagogo-Jack
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- General Clinical Research Center, University of Tennessee Health Science Center, Memphis, TN 38163, USA
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Louck LE, Cara KC, Klatt K, Wallace TC, Chung M. The Relationship of Circulating Choline and Choline-Related Metabolite Levels with Health Outcomes: A Scoping Review of Genome-Wide Association Studies and Mendelian Randomization Studies. Adv Nutr 2024; 15:100164. [PMID: 38128611 PMCID: PMC10819410 DOI: 10.1016/j.advnut.2023.100164] [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: 08/14/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
Choline is essential for proper liver, muscle, brain, lipid metabolism, cellular membrane composition, and repair. Understanding genetic determinants of circulating choline metabolites can help identify new determinants of choline metabolism, requirements, and their link to disease endpoints. We conducted a scoping review to identify studies assessing the association of genetic polymorphisms on circulating choline and choline-related metabolite concentrations and subsequent associations with health outcomes. This study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement scoping review extension. Literature was searched to September 28, 2022, in 4 databases: Embase, MEDLINE, Web of Science, and the Biological Science Index. Studies of any duration in humans were considered. Any genome-wide association study (GWAS) investigating genetic variant associations with circulating choline and/or choline-related metabolites and any Mendelian randomization (MR) study investigating the association of genetically predicted circulating choline and/or choline-related metabolites with any health outcome were considered. Qualitative evidence is presented in summary tables. From 1248 total reviewed articles, 53 were included (GWAS = 27; MR = 26). Forty-two circulating choline-related metabolites were tested in association with genetic variants in GWAS studies, primarily trimethylamine N-oxide, betaine, sphingomyelins, lysophosphatidylcholines, and phosphatidylcholines. MR studies investigated associations between 52 total unique choline metabolites and 66 unique health outcomes. Of these, 47 significant associations were reported between 16 metabolites (primarily choline, lysophosphatidylcholines, phosphatidylcholines, betaine, and sphingomyelins) and 27 health outcomes including cancer, cardiovascular, metabolic, bone, and brain-related outcomes. Some articles reported significant associations between multiple choline types and the same health outcome. Genetically predicted circulating choline and choline-related metabolite concentrations are associated with a wide variety of health outcomes. Further research is needed to assess how genetic variability influences choline metabolism and whether individuals with lower genetically predicted circulating choline and choline-related metabolite concentrations would benefit from a dietary intervention or supplementation.
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Affiliation(s)
- Lauren E Louck
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
| | - Kelly C Cara
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
| | - Kevin Klatt
- Nutritional Sciences and Toxicology, University of California, Berkeley, CA, United States
| | - Taylor C Wallace
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Think Health Group, Inc, Washington, DC, United States
| | - Mei Chung
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
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Hernandez-Baixauli J, Chomiciute G, Tracey H, Mora I, Cortés-Espinar AJ, Ávila-Román J, Abasolo N, Palacios-Jordan H, Foguet-Romero E, Suñol D, Galofré M, Alcaide-Hidalgo JM, Baselga-Escudero L, del Bas JM, Mulero M. Exploring Metabolic and Gut Microbiome Responses to Paraquat Administration in Male Wistar Rats: Implications for Oxidative Stress. Antioxidants (Basel) 2024; 13:67. [PMID: 38247491 PMCID: PMC10812659 DOI: 10.3390/antiox13010067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
In this study, we examined the metabolic and gut microbiome responses to paraquat (PQ) in male Wistar rats, focusing on oxidative stress effects. Rats received a single intraperitoneal injection of PQ at 15 and 30 mg/kg, and various oxidative stress parameters (i.e., MDA, SOD, ROS, 8-isoprostanes) were assessed after three days. To explore the omic profile, GC-qTOF and UHPLC-qTOF were performed to assess the plasma metabolome; 1H-NMR was used to assess the urine metabolome; and shotgun metagenomics sequencing was performed to study the gut microbiome. Our results revealed reductions in body weight and tissue changes, particularly in the liver, were observed, suggesting a systemic effect of PQ. Elevated lipid peroxidation and reactive oxygen species levels in the liver and plasma indicated the induction of oxidative stress. Metabolic profiling revealed changes in the tricarboxylic acid cycle, accumulation of ketone body, and altered levels of key metabolites, such as 3-hydroxybutyric acid and serine, suggesting intricate links between energy metabolism and redox reactions. Plasma metabolomic analysis revealed alterations in mitochondrial metabolism, nicotinamide metabolism, and tryptophan degradation. The gut microbiome showed shifts, with higher PQ doses influencing microbial populations (e.g., Escherichia coli and Akkermansia muciniphila) and metagenomic functions (pyruvate metabolism, fermentation, nucleotide and amino acid biosynthesis). Overall, this study provides comprehensive insights into the complex interplay between PQ exposure, metabolic responses, and gut microbiome dynamics. These findings enhance our understanding of the mechanisms behind oxidative stress-induced metabolic alterations and underscore the connections between xenobiotic exposure, gut microbiota, and host metabolism.
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Affiliation(s)
- Julia Hernandez-Baixauli
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain; (J.H.-B.); (G.C.); (H.T.); (J.M.A.-H.); (L.B.-E.)
- Laboratory of Metabolism and Obesity, Vall d’Hebron-Institut de Recerca, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Gertruda Chomiciute
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain; (J.H.-B.); (G.C.); (H.T.); (J.M.A.-H.); (L.B.-E.)
| | - Harry Tracey
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain; (J.H.-B.); (G.C.); (H.T.); (J.M.A.-H.); (L.B.-E.)
- Department of Medical Sciences, School of Medicine, University of Girona, 17004 Girona, Spain
- School of Science, RMIT University, Bundoora, VIC 3000, Australia
| | - Ignasi Mora
- Brudy Technology S.L., 08006 Barcelona, Spain;
| | - Antonio J. Cortés-Espinar
- Nutrigenomics Research Group, Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007 Tarragona, Spain;
| | - Javier Ávila-Román
- Molecular and Applied Pharmacology Group (FARMOLAP), Department of Pharmacology, Universidad de Sevilla, 41012 Sevilla, Spain;
| | - Nerea Abasolo
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain; (N.A.); (H.P.-J.); (E.F.-R.)
| | - Hector Palacios-Jordan
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain; (N.A.); (H.P.-J.); (E.F.-R.)
| | - Elisabet Foguet-Romero
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain; (N.A.); (H.P.-J.); (E.F.-R.)
| | - David Suñol
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, 08005 Barcelona, Spain; (D.S.); (M.G.)
| | - Mar Galofré
- Eurecat, Centre Tecnològic de Catalunya, Digital Health, 08005 Barcelona, Spain; (D.S.); (M.G.)
| | - Juan María Alcaide-Hidalgo
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain; (J.H.-B.); (G.C.); (H.T.); (J.M.A.-H.); (L.B.-E.)
| | - Laura Baselga-Escudero
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain; (J.H.-B.); (G.C.); (H.T.); (J.M.A.-H.); (L.B.-E.)
| | - Josep M. del Bas
- Eurecat, Centre Tecnològic de Catalunya, Àrea Biotecnologia, 43204 Reus, Spain
| | - Miquel Mulero
- Nutrigenomics Research Group, Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007 Tarragona, Spain;
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Li Z, He M, Chen G, Souaiaia T, Worgall TS, Jiang XC. Effect of Total SMS (Sphingomyelin Synthase) Activity on LDL (Low-Density Lipoprotein) Catabolism in Mice. Arterioscler Thromb Vasc Biol 2023. [PMID: 37128925 DOI: 10.1161/atvbaha.123.319031] [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: 05/03/2023]
Abstract
BACKGROUND Sphingomyelin (SM) and cholesterol are 2 key lipid partners on cell membranes and on lipoproteins. Many studies have indicated the influence of cholesterol on SM metabolism. This study examined the influence of SM biosynthesis on cholesterol metabolism. METHODS Inducible global Sms1 KO (knockout)/global Sms2 KO mice were prepared to evaluate the effect of whole-body SM biosynthesis deficiency on lipoprotein metabolism. Tissue cholesterol, SM, ceramide, and glucosylceramide levels were measured. Triglyceride production rate and LDL (low-density lipoprotein) catabolism were measured. Lipid rafts were isolated and LDL receptor mass and function were evaluated. Also, the effects of exogenous sphingolipids on hepatocytes were investigated. RESULTS We found that total SMS (SM synthase) depletion significantly reduced plasma SM levels. Also, the total deficiency significantly induced plasma cholesterol, apoB (apolipoprotein B), and apoE (apolipoprotein E) levels. Importantly, total SMS deficiency, but not SMS2 deficiency, dramatically decreased LDL receptors in the liver and attenuated LDL uptake through the receptor. Further, we found that total SMS deficiency greatly reduced LDL receptors in the lipid rafts, which contained significantly lower SM and significantly higher glucosylceramide, as well as cholesterol. Furthermore, we treated primary hepatocytes and Huh7 cells (a human hepatoma cell line) with SM, ceramide, or glucosylceramide, and we found that only SM could upregulate LDL receptor levels in a dose-dependent fashion. CONCLUSIONS Whole-body SM biosynthesis plays an important role in LDL cholesterol catabolism. The total SMS deficiency, but not SMS2 deficiency, reduces LDL uptake and causes LDL cholesterol accumulation in the circulation. Given the fact that serum SM level is a risk factor for cardiovascular diseases, inhibiting SMS2 but not SMS1 should be the desirable approach.
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Affiliation(s)
- Zhiqiang Li
- Department of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn (Z.L., M.H., G.C., T.S., X.-C.J.)
- Molecular and Cellular Cardiology Program, VA New York Harbor Healthcare System (Z.L., X.-C.J.)
| | - Mulin He
- Department of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn (Z.L., M.H., G.C., T.S., X.-C.J.)
| | - Guangzhi Chen
- Department of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn (Z.L., M.H., G.C., T.S., X.-C.J.)
| | - Tade Souaiaia
- Department of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn (Z.L., M.H., G.C., T.S., X.-C.J.)
| | - Tilla S Worgall
- Department of Medicine, Columbia University, New York (T.S.W.)
| | - Xian-Cheng Jiang
- Department of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn (Z.L., M.H., G.C., T.S., X.-C.J.)
- Molecular and Cellular Cardiology Program, VA New York Harbor Healthcare System (Z.L., X.-C.J.)
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Pi H, Xia L, Ralph DD, Rayner SG, Shojaie A, Leary PJ, Gharib SA. Metabolomic Signatures Associated With Pulmonary Arterial Hypertension Outcomes. Circ Res 2023; 132:254-266. [PMID: 36597887 PMCID: PMC9904878 DOI: 10.1161/circresaha.122.321923] [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: 08/29/2022] [Accepted: 12/20/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Pulmonary arterial hypertension (PAH) is a complex disease characterized by progressive right ventricular (RV) failure leading to significant morbidity and mortality. Investigating metabolic features and pathways associated with RV dilation, mortality, and measures of disease severity can provide insight into molecular mechanisms, identify subphenotypes, and suggest potential therapeutic targets. METHODS We collected data from a prospective cohort of PAH participants and performed untargeted metabolomic profiling on 1045 metabolites from circulating blood. Analyses were intended to identify metabolomic differences across a range of common metrics in PAH (eg, dilated versus nondilated RV). Partial least squares discriminant analysis was first applied to assess the distinguishability of relevant outcomes. Significantly altered metabolites were then identified using linear regression, and Cox regression models (as appropriate for the specific outcome) with adjustments for age, sex, body mass index, and PAH cause. Models exploring RV maladaptation were further adjusted for pulmonary vascular resistance. Pathway enrichment analysis was performed to identify significantly dysregulated processes. RESULTS A total of 117 participants with PAH were included. Partial least squares discriminant analysis showed cluster differentiation between participants with dilated versus nondilated RVs, survivors versus nonsurvivors, and across a range of NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels, REVEAL 2.0 composite scores, and 6-minute-walk distances. Polyamine and histidine pathways were associated with differences in RV dilation, mortality, NT-proBNP, REVEAL score, and 6-minute walk distance. Acylcarnitine pathways were associated with NT-proBNP, REVEAL score, and 6-minute walk distance. Sphingomyelin pathways were associated with RV dilation and NT-proBNP after adjustment for pulmonary vascular resistance. CONCLUSIONS Distinct plasma metabolomic profiles are associated with RV dilation, mortality, and measures of disease severity in PAH. Polyamine, histidine, and sphingomyelin metabolic pathways represent promising candidates for identifying patients at high risk for poor outcomes and investigation into their roles as markers or mediators of disease progression and RV adaptation.
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Affiliation(s)
- Hongyang Pi
- University of Washington, Department of Medicine
| | - Lu Xia
- University of Washington, Department of Biostatistics
| | | | | | - Ali Shojaie
- University of Washington, Department of Biostatistics
| | - Peter J. Leary
- University of Washington, Department of Medicine
- University of Washington, Department of Epidemiology
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Pierron A, Guzylack-Piriou L, Tardieu D, Foucras G, Guerre P. Zymosan-Induced Murine Peritonitis Is Associated with an Increased Sphingolipid Synthesis without Changing the Long to Very Long Chain Ceramide Ratio. Int J Mol Sci 2023; 24. [PMID: 36769096 DOI: 10.3390/ijms24032773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Sphingolipids are key molecules in inflammation and defense against pathogens. Their role in dectin-1/TLR2-mediated responses is, however, poorly understood. This study investigated the sphingolipidome in the peritoneal fluid, peritoneal cells, plasma, and spleens of mice after intraperitoneal injection of 0.1 mg zymosan/mouse or PBS as a control. Samples were collected at 2, 4, 8, and 16 h post-injection, using a total of 36 mice. Flow cytometry analysis of peritoneal cells and measurement of IL-6, IL-1β, and TNF-α levels in the peritoneal lavages confirmed zymosan-induced peritonitis. The concentrations of sphingoid bases, dihydroceramides, ceramides, dihydrosphingomyelins, sphingomyelins, monohexosylceramides, and lactosylceramides were increased after zymosan administration, and the effects varied with the time and the matrix measured. The greatest changes occurred in peritoneal cells, followed by peritoneal fluid, at 8 h and 4 h post-injection, respectively. Analysis of the sphingolipidome suggests that zymosan increased the de novo synthesis of sphingolipids without change in the C14-C18:C20-C26 ceramide ratio. At 16 h post-injection, glycosylceramides remained higher in treated than in control mice. A minor effect of zymosan was observed in plasma, whereas sphinganine, dihydrosphingomyelins, and monohexosylceramides were significantly increased in the spleen 16 h post-injection. The consequences of the observed changes in the sphingolipidome remain to be established.
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Mir FA, Ullah E, Mall R, Iskandarani A, Samra TA, Cyprian F, Parray A, Alkasem M, Abdalhakam I, Farooq F, Abou-Samra AB. Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome. Int J Mol Sci 2022; 23:ijms23179821. [PMID: 36077214 PMCID: PMC9456113 DOI: 10.3390/ijms23179821] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 06/30/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 11/24/2022] Open
Abstract
Background: Obesity coexists with variable features of metabolic syndrome, which is associated with dysregulated metabolic pathways. We assessed potential associations between serum metabolites and features of metabolic syndrome in Arabic subjects with obesity. Methods: We analyzed a dataset of 39 subjects with obesity only (OBO, n = 18) age-matched to subjects with obesity and metabolic syndrome (OBM, n = 21). We measured 1069 serum metabolites and correlated them to clinical features. Results: A total of 83 metabolites, mostly lipids, were significantly different (p < 0.05) between the two groups. Among lipids, 22 sphingomyelins were decreased in OBM compared to OBO. Among non-lipids, quinolinate, kynurenine, and tryptophan were also decreased in OBM compared to OBO. Sphingomyelin is negatively correlated with glucose, HbA1C, insulin, and triglycerides but positively correlated with HDL, LDL, and cholesterol. Differentially enriched pathways include lysine degradation, amino sugar and nucleotide sugar metabolism, arginine and proline metabolism, fructose and mannose metabolism, and galactose metabolism. Conclusions: Metabolites and pathways associated with chronic inflammation are differentially expressed in subjects with obesity and metabolic syndrome compared to subjects with obesity but without the clinical features of metabolic syndrome.
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Affiliation(s)
- Fayaz Ahmad Mir
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
- Correspondence: (F.A.M.); (E.U.)
| | - Ehsan Ullah
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University, Doha, Qatar
- Correspondence: (F.A.M.); (E.U.)
| | - Raghvendra Mall
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University, Doha, Qatar
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38104, USA
| | - Ahmad Iskandarani
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Tareq A. Samra
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Farhan Cyprian
- College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Aijaz Parray
- Qatar Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Meis Alkasem
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Ibrahem Abdalhakam
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Faisal Farooq
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University, Doha, Qatar
| | - Abdul-Badi Abou-Samra
- Qatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
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Zhu S, Liu Q, Xiang X, Cui K, Zhao F, Mai K, Ai Q. Docosahexaenoic Acid Ameliorates the Toll-Like Receptor 22-Triggered Inflammation in Fish by Disrupting Lipid Raft Formation. J Nutr 2022; 152:1991-2002. [PMID: 35679100 DOI: 10.1093/jn/nxac125] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/11/2022] [Accepted: 06/13/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Although dietary DHA alleviates Toll-like receptor (TLR)-associated chronic inflammation in fish, the underlying mechanism is not well understood. OBJECTIVES This study aimed to explore the role of Tlr22 in the innate immunity of large yellow croaker and investigate the anti-inflammatory effects of DHA on Tlr22-triggered inflammation. METHODS Head kidney-derived macrophages of croaker and HEK293T cells were or were not pretreated with 100 μM DHA for 10 h prior to polyinosinic-polycytidylic acid (poly I:C) stimulation. We executed qRT-PCR, immunoblotting, and lipidomic analysis to examine the impact of DHA on Tlr22-triggered inflammation and membrane lipid composition. In vivo, croakers (12.03 ± 0.05 g) were fed diets containing 0.2% [control (Ctrl)], 0.8%, and 1.6% DHA for 8 wk before injection with poly I:C. Inflammatory genes expression and rafts-related lipids and protein expression were measured in the head kidney. Data were analyzed by ANOVA or Student t test. RESULTS The activation of Tlr22 by poly I:C induced inflammation, and DHA diminished Tlr22-targeted inflammatory gene expression by 56-73% (P ≤ 0.05). DHA reduced membrane sphingomyelin (SM) and SFA-containing phosphatidylcholine (SFA-PC) contents, as well as lipid raft marker caveolin 1 amounts. Furthermore, lipid raft disruption suppressed Tlr22-induced Nf-κb and interferon h activation and p65 nuclear translocation. In vivo, expression of Tlr22 target inflammatory genes was 32-64% lower in the 1.6% DHA group than in the Ctrl group upon poly I:C injection (P ≤ 0.05). Also, the 1.6% DHA group showed a reduction in membrane SM and SFA-PC contents, accompanied by a decrease in caveolin 1 amounts, compared with the Ctrl group. CONCLUSIONS The activation of Tlr22 signaling depends on lipid rafts, and DHA ameliorates the Tlr22-triggered inflammation in both head kidney and head kidney-derived macrophages of croaker partially by altering membrane SMs and SFA-PCs that are required for lipid raft organization.
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Affiliation(s)
- Si Zhu
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China.,Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Qiangde Liu
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China
| | - Xiaojun Xiang
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China
| | - Kun Cui
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China
| | - Fang Zhao
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Kangsen Mai
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong, China
| | - Qinghui Ai
- Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture and Rural Affairs) & Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, Shandong, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong, China
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10
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Yun H, Sun L, Wu Q, Luo Y, Qi Q, Li H, Gu W, Wang J, Ning G, Zeng R, Zong G, Lin X. Lipidomic Signatures of Dairy Consumption and Associated Changes in Blood Pressure and Other Cardiovascular Risk Factors Among Chinese Adults. Hypertension 2022; 79:1617-1628. [PMID: 35469422 DOI: 10.1161/hypertensionaha.122.18981] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Omics data may provide a unique opportunity to discover dairy-related biomarkers and their linked cardiovascular health. METHODS Dairy-related lipidomic signatures were discovered in baseline data from a Chinese cohort study (n=2140) and replicated in another Chinese study (n=212). Dairy intake was estimated by a validated food-frequency questionnaire. Lipidomics was profiled by high-coverage liquid chromatography-tandem mass spectrometry. Associations of dairy-related lipids with 6-year changes in cardiovascular risk factors were examined in the discovery cohort, and their causalities were analyzed by 2-sample Mendelian randomization using available genome-wide summary data. RESULTS Of 350 lipid metabolites, 4 sphingomyelins, namely sphingomyelin (OH) C32:2, sphingomyelin C32:1, sphingomyelin (2OH) C30:2, and sphingomyelin (OH) C38:2, were identified and replicated to be positively associated with total dairy consumption (β=0.130 to 0.148; P<1.43×10-4), but not or weakly with nondairy food items. The score of 4 sphingomyelins showed inverse associations with 6-year changes in systolic (-2.68 [95% CI, -4.92 to -0.43]; P=0.019), diastolic blood pressures (-1.86 [95% CI, -3.12 to -0.61]; P=0.004), and fasting glucose (-0.25 [95% CI, -0.41 to -0.08]; P=0.003). Mendelian randomization analyses further revealed that genetically inferred sphingomyelin (OH) C32:2 was inversely associated with systolic (-0.57 [95% CI, -0.85 to -0.28]; P=9.16×10-5) and diastolic blood pressures (-0.39 [95% CI, -0.59 to -0.20]; P=7.09×10-5). CONCLUSIONS The beneficial effects of dairy products on cardiovascular health might be mediated through specific sphingomyelins among Chinese with overall low dairy consumption.
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Affiliation(s)
- Huan Yun
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qingqing Wu
- CAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, China (Q.W., R.Z.)
| | - Yaogan Luo
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (Q.Q.)
| | - Huaixing Li
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.).,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.)
| | - Jiqiu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.).,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.)
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.).,Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (W.G., J.W., G.N.)
| | - Rong Zeng
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study (R.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study (R.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,CAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, China (Q.W., R.Z.)
| | - Geng Zong
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health (H.Y., L.S., Y.L., H.L., G.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study (R.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study (R.Z., X.L.), University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
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11
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Sliz E, Shin J, Ahmad S, Williams DM, Frenzel S, Gauß F, Harris SE, Henning AK, Hernandez MV, Hu YH, Jiménez B, Sargurupremraj M, Sudre C, Wang R, Wittfeld K, Yang Q, Wardlaw JM, Völzke H, Vernooij MW, Schott JM, Richards M, Proitsi P, Nauck M, Lewis MR, Launer L, Hosten N, Grabe HJ, Ghanbari M, Deary IJ, Cox SR, Chaturvedi N, Barnes J, Rotter JI, Debette S, Ikram MA, Fornage M, Paus T, Seshadri S, Pausova Z. Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation 2022; 145:1040-1052. [PMID: 35050683 PMCID: PMC9645366 DOI: 10.1161/circulationaha.121.056892] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites. METHODS We studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted P values (PFDR)<0.05 were considered significant. RESULTS In the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (PFDR<0.05), 7 of which remained significant in the fully adjusted models. The most significant association was with higher level of hydroxyphenylpyruvate in men (PFDR.full.adj=1.40×10-7) and in both the pooled sample (PFDR.full.adj=1.66×10-4) and statin-untreated (PFDR.full.adj=1.65×10-6) subsample. In men, hydroxyphenylpyruvate explained 3% to 14% of variance in WMH. In men and the pooled sample, WMH were also associated with lower levels of lysophosphatidylcholines and hydroxysphingomyelins and a larger diameter of low-density lipoprotein particles, likely arising from higher triglyceride to total lipids and lower cholesteryl ester to total lipids ratios within these particles. In women, the only significant association was with higher level of glucuronate (PFDR=0.047). CONCLUSIONS Circulating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.
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Affiliation(s)
- Eeva Sliz
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Jean Shin
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Friederike Gauß
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Yi-Han Hu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Beatriz Jiménez
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - Carole Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London
- School of Biomedical Engineering & Imaging Sciences, King’s College London
| | - Ruiqi Wang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthew R. Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Simon R. Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- ECOGENE-21, Chicoutimi, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
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12
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Krasztel MM, Czopowicz M, Szaluś-Jordanow O, Moroz A, Mickiewicz M, Kaba J. Correlation between metabolomic profile constituents and feline pancreatic lipase immunoreactivity. J Vet Intern Med 2022; 36:473-481. [PMID: 35023223 PMCID: PMC8965226 DOI: 10.1111/jvim.16349] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 11/30/2022] Open
Abstract
Background Feline pancreatic lipase immunoreactivity (fPLI) is commonly used to diagnose pancreatitis in cats (FP). Untargeted metabolomics has been extensively applied in human and veterinary medicine, but no metabolomic studies regarding FP have been conducted. Objectives To identify metabolites significantly associated with increased fPLI. Animals Forty‐nine client‐owned cats: 11 clinically healthy and 38 with various clinical conditions. Methods Analytical cross‐sectional study with convenience sampling. A panel of 630 metabolites belonging to 26 biochemical classes was quantified in plasma using a commercial metabolomic assay. The correlation between plasma metabolite concentrations and serum fPLI was evaluated using Spearman's rank correlation coefficient (Rs) with Bonferroni correction. Multivariable analysis then was performed to control for glomerular filtration rate, liver damage, and blood glucose concentration. The accuracy of selected metabolites in discriminating between cats with normal (≤3.5 μg/L) and increased (>5.3 μg/L) fPLI was estimated using the area under the receiver operating characteristic curve (AUROC). Results Four hundred and seven of 630 metabolites (64.6%) were quantified in all cats. When controlled for potential confounders only 3 sphingolipids were significantly positively correlated with fPLI: 2 cerebrosides: HexCer(d18:1/24:0); (Rs = .56), and HexCer(d18:1/24:1); (Rs = .58) and 1 sphingomyelin: SM C18:0 (Rs = .55). Their AUROCs in identifying cats with increased fPLI were 82% (95% confidence interval [CI 95%], 70%‐94%), 84% (CI 95%, 72%‐96%), and 78% (CI 95%, 65%‐92%), respectively. Conclusions and Clinical Importance Selected sphingolipids are moderately positively correlated with fPLI and appear to have fair to moderate diagnostic accuracy in discriminating between cats with normal and increased fPLI.
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Affiliation(s)
- Magdalena Maria Krasztel
- Division of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Michał Czopowicz
- Division of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Olga Szaluś-Jordanow
- Department of Small Animal Diseases with Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Agata Moroz
- Division of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Marcin Mickiewicz
- Division of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Jarosław Kaba
- Division of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
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13
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Fretts AM, Jensen PN, Hoofnagle AN, McKnight B, Howard BV, Umans J, Sitlani CM, Siscovick DS, King IB, Djousse L, Sotoodehnia N, Lemaitre RN. Plasma Ceramides containing Saturated Fatty Acids are Associated with Risk of Type 2 Diabetes. J Lipid Res 2021; 62:100119. [PMID: 34555371 PMCID: PMC8517199 DOI: 10.1016/j.jlr.2021.100119] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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: 02/12/2021] [Revised: 08/20/2021] [Accepted: 09/13/2021] [Indexed: 01/01/2023] Open
Abstract
Recent studies suggest that the type of saturated fatty acid bound to sphingolipids influences the biological activity of those sphingolipids. However, it is unknown whether associations of sphingolipids with diabetes may differ by the identity of bound lipid species. Here, we investigated associations of 15 ceramide (Cer) and SM species (i.e., all sphingolipids, measured with coefficient of variation less than 20%) with incident type 2 diabetes in the Cardiovascular Health Study (n = 3,645), a large cohort study of cardiovascular disease among elderly adults who were followed from 1989 to 2015. Diabetes incidence was defined as fasting glucose ≥126 mg/dl or nonfasting glucose ≥200 mg/dl; reported use of insulin or oral hypoglycemic medication; or documentation of diabetes diagnosis through the Centers for Medicare and Medicaid Services records. Associations of each sphingolipid with incident diabetes were assessed using a Cox proportional hazards regression model. We found that higher circulating levels of Cer with acylated palmitic acid (Cer-16), stearic acid containing Cer (Cer-18), arachidic acid containing Cer (Cer-20), and behenic acid containing Cer (Cer-22) were each associated with a higher risk of diabetes. The hazard ratios for incident diabetes per 1 SD higher log levels of each Cer species were as follows: 1.21 (95% CI: 1.09–1.34) for Cer-16, 1.23 (95% CI: 1.10–1.37) for Cer-18, 1.14 (95% CI: 1.02–1.26) for Cer-20, and 1.18 (95% CI: 1.06–1.32) for Cer-22. In conclusion, higher levels of Cer-16, Cer-18, Cer-20, and Cer-22 were associated with a higher risk of diabetes.
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Affiliation(s)
- Amanda M Fretts
- University of Washington Departments of Epidemiology, 1410 NE Campus Parkway, Seattle WA, 98105 USA; University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA.
| | - Paul N Jensen
- University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA; Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA
| | - Andrew N Hoofnagle
- Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA; Laboratory Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA
| | - Barbara McKnight
- University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA; Biostatistics, 1410 NE Campus Parkway, Seattle WA, 98105 USA
| | - Barbara V Howard
- MedStar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD, 20782 USA; Georgetown and Howard Universities Center for Clinical and Translational Science, 4000 Reservoir Road NW Washington DC 20057 USA
| | - Jason Umans
- MedStar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD, 20782 USA
| | - Colleen M Sitlani
- University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA; Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA
| | | | - Irena B King
- Department of Internal Medicine, University of New Mexico, 915 Camino de Salud NE Albuquerque, NM 87106 USA
| | - Luc Djousse
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St,Boston, MA 02115 USA
| | - Nona Sotoodehnia
- University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA; Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA
| | - Rozenn N Lemaitre
- University of Washington Cardiovascular Health Research Unit, 1730 Minor Ave #1360 Seattle, WA 98101 USA; Medicine, 1410 NE Campus Parkway, Seattle WA, 98105 USA
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14
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Vvedenskaya O, Rose TD, Knittelfelder O, Palladini A, Wodke JAH, Schuhmann K, Ackerman JM, Wang Y, Has C, Brosch M, Thangapandi VR, Buch S, Züllig T, Hartler J, Köfeler HC, Röcken C, Coskun Ü, Klipp E, von Schoenfels W, Gross J, Schafmayer C, Hampe J, Pauling JK, Shevchenko A. Nonalcoholic fatty liver disease stratification by liver lipidomics. J Lipid Res 2021; 62:100104. [PMID: 34384788 PMCID: PMC8488246 DOI: 10.1016/j.jlr.2021.100104] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 05/11/2021] [Revised: 07/20/2021] [Accepted: 07/30/2021] [Indexed: 02/06/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a common metabolic dysfunction leading to hepatic steatosis. However, NAFLD's global impact on the liver lipidome is poorly understood. Using high-resolution shotgun mass spectrometry, we quantified the molar abundance of 316 species from 22 major lipid classes in liver biopsies of 365 patients, including nonsteatotic patients with normal or excessive weight, patients diagnosed with NAFL (nonalcoholic fatty liver) or NASH (nonalcoholic steatohepatitis), and patients bearing common mutations of NAFLD-related protein factors. We confirmed the progressive accumulation of di- and triacylglycerols and cholesteryl esters in the liver of NAFL and NASH patients, while the bulk composition of glycerophospho- and sphingolipids remained unchanged. Further stratification by biclustering analysis identified sphingomyelin species comprising n24:2 fatty acid moieties as membrane lipid markers of NAFLD. Normalized relative abundance of sphingomyelins SM 43:3;2 and SM 43:1;2 containing n24:2 and n24:0 fatty acid moieties, respectively, showed opposite trends during NAFLD progression and distinguished NAFL and NASH lipidomes from the lipidome of nonsteatotic livers. Together with several glycerophospholipids containing a C22:6 fatty acid moiety, these lipids serve as markers of early and advanced stages of NAFL.
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Affiliation(s)
- Olga Vvedenskaya
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Tim Daniel Rose
- LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Oskar Knittelfelder
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Alessandra Palladini
- Paul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Hospital Carl Gustav Carus, Technische Universität (TU) Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | | | - Kai Schuhmann
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Yuting Wang
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Canan Has
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Mario Brosch
- Department of Medicine I, University Hospital Dresden, Technische Universität (TU) Dresden, Dresden, Germany; Center for Regenerative Therapies Dresden (CRTD), Technische Universität (TU) Dresden, Dresden, Germany
| | - Veera Raghavan Thangapandi
- Department of Medicine I, University Hospital Dresden, Technische Universität (TU) Dresden, Dresden, Germany; Center for Regenerative Therapies Dresden (CRTD), Technische Universität (TU) Dresden, Dresden, Germany
| | - Stephan Buch
- Department of Medicine I, University Hospital Dresden, Technische Universität (TU) Dresden, Dresden, Germany; Center for Regenerative Therapies Dresden (CRTD), Technische Universität (TU) Dresden, Dresden, Germany
| | - Thomas Züllig
- Core Facility Mass Spectrometry, Medical University of Graz, Graz, Austria
| | - Jürgen Hartler
- Institute of Pharmaceutical Sciences, University of Graz, Graz, Austria; Field of Excellence BioHealth, University of Graz, Graz, Austria
| | - Harald C Köfeler
- Core Facility Mass Spectrometry, Medical University of Graz, Graz, Austria
| | - Christoph Röcken
- Department of Pathology, University Hospital Schleswig Holstein, Kiel, Schleswig-Holstein, Germany
| | - Ünal Coskun
- Paul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Hospital Carl Gustav Carus, Technische Universität (TU) Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany; Department of Membrane Biochemistry and Lipid Research, University Hospital Carl Gustav Carus of Technische Universität Dresden, Dresden, Germany
| | - Edda Klipp
- Theoretical Biophysics, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Witigo von Schoenfels
- Department of Visceral and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel Campus, Christian-Albrechts-University Kiel, Kiel, Germany; Christian Albrechts University in Kiel Center of Clinical Anatomy Kiel, Schleswig-Holstein, Germany
| | - Justus Gross
- Department of General, Visceral, Vascular and Transplant Surgery, Rostock University Medical Center, Rostock, Germany
| | - Clemens Schafmayer
- Department of General, Visceral, Vascular and Transplant Surgery, Rostock University Medical Center, Rostock, Germany
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität (TU) Dresden, Dresden, Germany
| | - Josch Konstantin Pauling
- LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
| | - Andrej Shevchenko
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
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15
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Alatibi KI, Hagenbuchner J, Wehbe Z, Karall D, Ausserlechner MJ, Vockley J, Spiekerkoetter U, Grünert SC, Tucci S. Different Lipid Signature in Fibroblasts of Long-Chain Fatty Acid Oxidation Disorders. Cells 2021; 10:1239. [PMID: 34069977 DOI: 10.3390/cells10051239] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/15/2021] [Accepted: 05/17/2021] [Indexed: 12/16/2022] Open
Abstract
Long-chain fatty acid oxidation disorders (lc-FAOD) are a group of diseases affecting the degradation of long-chain fatty acids. In order to investigate the disease specific alterations of the cellular lipidome, we performed undirected lipidomics in fibroblasts from patients with carnitine palmitoyltransferase II, very long-chain acyl-CoA dehydrogenase, and long-chain 3-hydroxyacyl-CoA dehydrogenase. We demonstrate a deep remodeling of mitochondrial cardiolipins. The aberrant phosphatidylcholine/phosphatidylethanolamine ratio and the increased content of plasmalogens and of lysophospholipids support the theory of an inflammatory phenotype in lc-FAOD. Moreover, we describe increased ratios of sphingomyelin/ceramide and sphingomyelin/hexosylceramide in LCHAD deficiency which may contribute to the neuropathic phenotype of LCHADD/mitochondrial trifunctional protein deficiency.
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16
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Wang Y, Wang H, Howard AG, Tsilimigras MCB, Avery CL, Meyer KA, Sha W, Sun S, Zhang J, Su C, Wang Z, Fodor AA, Zhang B, Gordon-Larsen P. Gut Microbiota and Host Plasma Metabolites in Association with Blood Pressure in Chinese Adults. Hypertension 2020; 77:706-717. [PMID: 33342240 DOI: 10.1161/hypertensionaha.120.16154] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Animal studies have revealed gut microbial and metabolic pathways of blood pressure (BP) regulation, yet few epidemiological studies have collected microbiota and metabolomics data in the same individuals. In a population-based, Chinese cohort who did not report antihypertension medication use (30-69 years, 54% women), thus minimizing BP treatment effects, we examined multivariable-adjusted (eg, diet, physical activity, smoking, kidney function), cross-sectional associations between measures of gut microbiota (16S rRNA [ribosomal ribonucleic acid], N=1003), and plasma metabolome (liquid chromatography-mass spectrometry, N=434) with systolic (SBP, mean [SD]=126.0 [17.4] mm Hg) and diastolic BP (DBP [80.7 (10.7) mm Hg]). We found that the overall microbial community assessed by principal coordinate analysis varied by SBP and DBP (permutational multivariate ANOVA P<0.05). To account for strong correlations across metabolites, we first examined metabolite patterns derived from principal component analysis and found that a lipid pattern was positively associated with SBP (linear regression coefficient [95% CI] per 1 SD pattern score: 2.23 [0.72-3.74] mm Hg) and DBP (1.72 [0.81-2.63] mm Hg). Among 1104 individual metabolites, 34 and 39 metabolites were positively associated with SBP and DBP (false discovery rate-adjusted linear model P<0.05), respectively, including linoleate, palmitate, dihomolinolenate, 8 sphingomyelins, 4 acyl-carnitines, and 2 phosphatidylinositols. Subsequent pathway analysis showed that metabolic pathways of long-chain saturated acylcarnitine, phosphatidylinositol, and sphingomyelins were associated with SBP and DBP (false discovery rate-adjusted Fisher exact test P<0.05). Our results suggest potential roles of microbiota and metabolites in BP regulation to be followed up in prospective and clinical studies.
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Affiliation(s)
- Yiqing Wang
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Annie Green Howard
- Department of Biostatistics (A.G.H.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Matthew C B Tsilimigras
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Department of Epidemiology (M.C.B.T., C.L.A.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Christy L Avery
- Department of Epidemiology (M.C.B.T., C.L.A.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Katie A Meyer
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Nutrition Research Institute (K.A.M.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Wei Sha
- Department of Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC (W.S.).,Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Jiguo Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Penny Gordon-Larsen
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
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17
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Olson KC, Moosic KB, Jones MK, Larkin PMK, Olson TL, Toro MF, Fox TE, Feith DJ, Loughran TP. Large granular lymphocyte leukemia serum and corresponding hematological parameters reveal unique cytokine and sphingolipid biomarkers and associations with STAT3 mutations. Cancer Med 2020; 9:6533-6549. [PMID: 32710512 PMCID: PMC7520360 DOI: 10.1002/cam4.3246] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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: 01/30/2020] [Revised: 05/22/2020] [Accepted: 05/31/2020] [Indexed: 12/26/2022] Open
Abstract
Large granular lymphocyte (LGL) leukemia is a rare hematological disorder with expansion of the T-cell or natural killer (NK) cell lineage. Signal transducer and activator of transcription 3 (STAT3) exhibits somatic activating mutations in 30%-40% of LGL leukemia cases. Transcriptional targets of STAT3 include inflammatory cytokines, thus previous studies have measured cytokine levels of LGL leukemia patients compared to normal donors. Sphingolipid metabolism is a growing area of cancer research, with efforts focused on drug discovery. To date, no studies have examined serum sphingolipids in LGL leukemia patients, and only one study compared a subset of cytokines between the T-LGL and NK-LGL subtypes. Therefore, here, we included both LGL leukemia subtypes with the goals of (a) measuring serum sphingolipids for the first time, (b) measuring cytokines to find distinctions between the subtypes, and (c) establishing relationships with STAT3 mutations and clinical data. The serum analyses identified cytokines (EGF, IP-10, G-CSF) and sphingolipids (SMC22, SMC24, SMC20, LysoSM) significantly different in the LGL leukemia group compared to normal donors. In a mixed STAT3 mutation group, D661Y samples exhibited the highest mean corpuscular volume (MCV) values. We explored this further by expanding the cohort to include larger groups of single STAT3 mutations. Male D661Y STAT3 samples had lower Hgb and higher MCV compared to wild type (WT) or Y640F counterparts. This is the first report examining large groups of individual STAT3 mutations. Overall, our results revealed novel serum biomarkers and evidence that D661Y mutation may show different clinical manifestation compared to WT or Y640F STAT3.
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Affiliation(s)
- Kristine C. Olson
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Katharine B. Moosic
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Department of PathologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Marieke K. Jones
- Health Sciences LibraryUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Paige M. K. Larkin
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Department of PathologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA,Present address:
Department of Pathology and Laboratory MedicineUniversity of California Los AngelesLos AngelesCAUSA
| | - Thomas L. Olson
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Mariella F. Toro
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Todd E. Fox
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of PharmacologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - David J. Feith
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
| | - Thomas P. Loughran
- University of Virginia Cancer CenterCharlottesvilleVAUSA,Department of MedicineDivision of Hematology/OncologyUniversity of Virginia School of MedicineCharlottesvilleVAUSA
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18
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Coliva G, Lange M, Colombo S, Chervet JP, Domingues MR, Fedorova M. Sphingomyelins Prevent Propagation of Lipid Peroxidation-LC-MS/MS Evaluation of Inhibition Mechanisms. Molecules 2020; 25:molecules25081925. [PMID: 32326262 PMCID: PMC7221532 DOI: 10.3390/molecules25081925] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/13/2020] [Accepted: 04/17/2020] [Indexed: 12/20/2022] Open
Abstract
Free radical driven lipid peroxidation is a chain reaction which can lead to oxidative degradation of biological membranes. Propagation vs. termination rates of peroxidation in biological membranes are determined by a variety of factors including fatty acyl chain composition, presence of antioxidants, as well as biophysical properties of mono- or bilayers. Sphingomyelins (SMs), a class of sphingophospholipids, were previously described to inhibit lipid oxidation most probably via the formation of H-bond network within membranes. To address the “antioxidant” potential of SMs, we performed LC-MS/MS analysis of model SM/glycerophosphatidylcholine (PC) liposomes with different SM fraction after induction of radical driven lipid peroxidation. Increasing SM fraction led to a strong suppression of lipid peroxidation. Electrochemical oxidation of non-liposomal SMs eliminated the observed effect, indicating the importance of membrane structure for inhibition of peroxidation propagation. High resolution MS analysis of lipid peroxidation products (LPPs) observed in in vitro oxidized SM/PC liposomes allowed to identify and relatively quantify SM- and PC-derived LPPs. Moreover, mapping quantified LPPs to the known pathways of lipid peroxidation allowed to demonstrate significant decrease in mono-hydroxy(epoxy) LPPs relative to mono-keto derivatives in SM-rich liposomes. The results presented here illustrate an important property of SMs in biological membranes, acting as “biophysical antioxidant”. Furthermore, a ratio between mono-keto/mono-hydroxy(epoxy) oxidized species can be used as a marker of lipid peroxidation propagation in the presence of different antioxidants.
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Affiliation(s)
- Giulia Coliva
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (G.C.); (M.L.)
- Center for Biotechnology and Biomedicine, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
| | - Mike Lange
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (G.C.); (M.L.)
- Center for Biotechnology and Biomedicine, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
| | - Simone Colombo
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; (S.C.); (M.R.D.)
- CESAM, ECOMARE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | | | - M. Rosario Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; (S.C.); (M.R.D.)
- CESAM, ECOMARE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Maria Fedorova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (G.C.); (M.L.)
- Center for Biotechnology and Biomedicine, University of Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
- Correspondence:
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19
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Mahajan UV, Varma VR, Huang CW, An Y, Tanaka T, Ferrucci L, Takebayashi T, Harada S, Iida M, Legido-Quigley C, Thambisetty M. Blood Metabolite Signatures of Metabolic Syndrome in Two Cross-Cultural Older Adult Cohorts. Int J Mol Sci 2020; 21:E1324. [PMID: 32079087 DOI: 10.3390/ijms21041324] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 02/11/2020] [Accepted: 02/12/2020] [Indexed: 02/07/2023] Open
Abstract
Metabolic syndrome (MetS) affects an increasing number of older adults worldwide. Cross-cultural comparisons can provide insight into how factors, including genetic, environmental, and lifestyle, may influence MetS prevalence. Metabolomics, which measures the biochemical products of cell processes, can be used to enhance a mechanistic understanding of how biological factors influence metabolic outcomes. In this study we examined associations between serum metabolite concentrations, representing a range of biochemical pathways and metabolic syndrome in two older adult cohorts: The Tsuruoka Metabolomics Cohort Study (TMCS) from Japan (n = 104) and the Baltimore Longitudinal Study of Aging (BLSA) from the United States (n = 146). We used logistic regression to model associations between MetS and metabolite concentrations. We found that metabolites from the phosphatidylcholines-acyl-alkyl, sphingomyelin, and hexose classes were significantly associated with MetS and risk factor outcomes in both cohorts. In BLSA, metabolites across all classes were uniquely associated with all outcomes. In TMCS, metabolites from the amino acid, biogenic amines, and free fatty acid classes were uniquely associated with MetS, and metabolites from the sphingomyelin class were uniquely associated with elevated triglycerides. The metabolites and metabolite classes we identified may be relevant for future studies exploring disease mechanisms and identifying novel precision therapy targets for individualized medicine.
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20
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Goeritzer M, Bernhart E, Plastira I, Reicher H, Leopold C, Eichmann TO, Rechberger G, Madreiter-Sokolowski CT, Prasch J, Eller P, Graier WF, Kratky D, Malle E, Sattler W. Myeloperoxidase and Septic Conditions Disrupt Sphingolipid Homeostasis in Murine Brain Capillaries In Vivo and Immortalized Human Brain Endothelial Cells In Vitro. Int J Mol Sci 2020; 21:E1143. [PMID: 32050431 PMCID: PMC7037060 DOI: 10.3390/ijms21031143] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 12/12/2019] [Revised: 01/27/2020] [Accepted: 02/06/2020] [Indexed: 02/07/2023] Open
Abstract
During inflammation, activated leukocytes release cytotoxic mediators that compromise blood-brain barrier (BBB) function. Under inflammatory conditions, myeloperoxidase (MPO) is critically involved in inflicting BBB damage. We used genetic and pharmacological approaches to investigate whether MPO induces aberrant lipid homeostasis at the BBB in a murine endotoxemia model. To corroborate findings in a human system we studied the impact of sera from sepsis and non-sepsis patients on brain endothelial cells (hCMEC/D3). In response to endotoxin, the fatty acid, ceramide, and sphingomyelin content of isolated mouse brain capillaries dropped and barrier dysfunction occurred. In mice, genetic deficiency or pharmacological inhibition of MPO abolished these alterations. Studies in metabolic cages revealed increased physical activity and less pronounced sickness behavior of MPO-/- compared to wild-type mice in response to sepsis. In hCMEC/D3 cells, exogenous tumor necrosis factor α (TNFα) potently regulated gene expression of pro-inflammatory cytokines and a set of genes involved in sphingolipid (SL) homeostasis. Notably, treatment of hCMEC/D3 cells with sera from septic patients reduced cellular ceramide concentrations and induced barrier and mitochondrial dysfunction. In summary, our in vivo and in vitro data revealed that inflammatory mediators including MPO, TNFα induce dysfunctional SL homeostasis in brain endothelial cells. Genetic and pharmacological inhibition of MPO attenuated endotoxin-induced alterations in SL homeostasis in vivo, highlighting the potential role of MPO as drug target to treat inflammation-induced brain dysfunction.
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Affiliation(s)
- Madeleine Goeritzer
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
- BioTechMed-Graz, Graz 8010, Austria; (T.O.E.); (G.R.)
| | - Eva Bernhart
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Ioanna Plastira
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Helga Reicher
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Christina Leopold
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Thomas O. Eichmann
- BioTechMed-Graz, Graz 8010, Austria; (T.O.E.); (G.R.)
- Institute of Molecular Biosciences, University of Graz, Graz 8010, Austria
- Center for Explorative Lipidomics, BioTechMed-Graz, Graz 8010, Austria
| | - Gerald Rechberger
- BioTechMed-Graz, Graz 8010, Austria; (T.O.E.); (G.R.)
- Institute of Molecular Biosciences, University of Graz, Graz 8010, Austria
- Center for Explorative Lipidomics, BioTechMed-Graz, Graz 8010, Austria
| | - Corina T. Madreiter-Sokolowski
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
- Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach 8603, Switzerland
| | - Jürgen Prasch
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Philipp Eller
- Department of Internal Medicine, Intensive Care Unit, Medical University of Graz, Graz 8036, Austria;
| | - Wolfgang F. Graier
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Dagmar Kratky
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
- BioTechMed-Graz, Graz 8010, Austria; (T.O.E.); (G.R.)
| | - Ernst Malle
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
| | - Wolfgang Sattler
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, Graz 8010, Austria; (M.G.); (E.B.); (I.P.); (H.R.); (C.L.); (C.T.M.-S.); (J.P.); (W.F.G.); (D.K.); (E.M.)
- BioTechMed-Graz, Graz 8010, Austria; (T.O.E.); (G.R.)
- Center for Explorative Lipidomics, BioTechMed-Graz, Graz 8010, Austria
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21
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Lemaitre RN, Jensen PN, Hoofnagle A, McKnight B, Fretts AM, King IB, Siscovick DS, Psaty BM, Heckbert SR, Mozaffarian D, Sotoodehnia N. Plasma Ceramides and Sphingomyelins in Relation to Heart Failure Risk. Circ Heart Fail 2019; 12:e005708. [PMID: 31296099 DOI: 10.1161/circheartfailure.118.005708] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Ceramides exhibit multiple biological activities that may influence the pathophysiology of heart failure. These activities may be influenced by the saturated fatty acid carried by the ceramide (Cer). However, the associations of different circulating Cer species, and their sphingomyelin (SM) precursors, with heart failure have received limited attention. METHODS AND RESULTS We studied the associations of plasma Cer and SM species with incident heart failure in the Cardiovascular Health Study. We examined 8 species: Cer and SM with palmitic acid (Cer-16 and SM-16), species with arachidic acid (Cer-20 and SM-20), species with behenic acid (Cer-22 and SM-22), and species with lignoceric acid (Cer-24 and SM-24). During a median follow-up of 9.4 years, we identified 1179 cases of incident heart failure among 4249 study participants. In Cox regression analyses adjusted for risk factors, higher levels of Cer-16 and SM-16 were associated with higher risk of incident heart failure (hazard ratio for one SD increase:1.25 [95% CI, 1.16-1.36] and 1.28 [1.18-1.40], respectively). In contrast, higher levels of Cer-22 were associated with lower risk of heart failure in multivariable analyses further adjusted for Cer-16 (hazard ratio, 0.85 [0.78-0.92]); and higher levels of SM-20, SM-22 and SM-24 were associated with lower risk of heart failure in analyses further adjusted for SM-16 (hazard ratios, 0.83 [0.77-0.90], 0.81 [0.75-0.88], and 0.83 [0.77-0.90], respectively). No statistically significant interactions with age, sex, black race, body mass index, or baseline coronary heart disease were detected. Similar associations were observed for heart failure with preserved (n=529) or reduced (n=348) ejection fraction. CONCLUSIONS This study shows associations of higher plasma levels of Cer-16 and SM-16 with increased risk of heart failure and higher levels of Cer-22, SM-20, SM-22, and SM-24 with decreased risk of heart failure. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov . Unique identifier: NCT00005133.
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Affiliation(s)
- Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L., P.N.J., B.M.P., S.R.H., N.S.), University of Washington, Seattle
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L., P.N.J., B.M.P., S.R.H., N.S.), University of Washington, Seattle
| | - Andrew Hoofnagle
- Department of Laboratory Medicine (A.H.), University of Washington, Seattle
| | - Barbara McKnight
- Department of Biostatistics (B.M.), University of Washington, Seattle
| | - Amanda M Fretts
- Department of Epidemiology (A.M.F., B.M.P., S.R.H.), University of Washington, Seattle
| | - Irena B King
- Department of Internal Medicine, University of New Mexico, Albuquerque (I.B.K.)
| | | | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L., P.N.J., B.M.P., S.R.H., N.S.), University of Washington, Seattle.,Department of Epidemiology (A.M.F., B.M.P., S.R.H.), University of Washington, Seattle.,Department of Health Services (B.M.P.), University of Washington, Seattle.,Kaiser Permanente Washington Health Research Institute, Seattle, WA (B.M.P.)
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L., P.N.J., B.M.P., S.R.H., N.S.), University of Washington, Seattle.,Department of Epidemiology (A.M.F., B.M.P., S.R.H.), University of Washington, Seattle
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science & Policy, Tufts University, Boston, MA (D.M.)
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L., P.N.J., B.M.P., S.R.H., N.S.), University of Washington, Seattle
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22
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Enomoto H, Takeda S, Hatta H, Zaima N. Tissue-Specific Distribution of Sphingomyelin Species in Pork Chop Revealed by Matrix-Assisted Laser Desorption/Ionization-Imaging Mass Spectrometry. J Food Sci 2019; 84:1758-1763. [PMID: 31206696 DOI: 10.1111/1750-3841.14667] [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: 01/14/2019] [Revised: 04/20/2019] [Accepted: 04/30/2019] [Indexed: 01/10/2023]
Abstract
Sphingomyelin (SM) species are major sphingolipids in pork meat that affect quality parameters, such as health benefits due to their protective properties against chronic diseases; however, their spatial distribution remains unclear. We used matrix-assisted laser desorption/ionization (MALDI)-imaging mass spectrometry (IMS) to investigate the distribution and composition of SM species in pork chop consisting of longissimus thoracis et lumborum muscle (loin), intermuscular fat tissue, transparent tissue, and spinalis muscle. Four SM species were identified by liquid chromatography-electrospray ionization-tandem MS (MS/MS) and MALDI-MS/MS and visualized using MALDI-IMS. SM species containing stearic acid were predominantly distributed in the loin and spinalis muscle, whereas SM species containing palmitic, lignoceric, and nervonic acids were predominantly distributed in transparent tissue. These results indicated that the distribution of SM species differed among the pork tissues, depending on the tissue-specific fatty acid composition. The total amount including all identified SM species was higher in the loin than in spinalis muscle. Pork is reportedly associated with increased risk for chronic diseases due to the high amount of heme iron. From the observation of color, the amount of heme iron was lower in loin than in spinalis muscle. Thus, the degree of risk for chronic diseases might be lower in the loin than in spinalis muscle. This is the first report on the tissue-specific distribution of SM species in meat at a microscopic resolution using IMS. MALDI-IMS analysis may be useful in assessing the association between SM species and quality parameters of pork meat. PRACTICAL APPLICATION: Sphingomyelin (SM) species are major sphingolipids in pork meat. SM species affect quality parameters such as health benefits due to their protective properties against colon cancer and atherosclerosis. Matrix-assisted laser desorption/ionization-imaging mass spectrometry analysis combined with liquid chromatography-electrospray ionization-tandem mass spectrometry is a suitable method to directly investigate the distribution and composition of SM species at microscopic level among different tissues of pork meat. Therefore, this method is useful to assess the SM species-induced health effect of different tissues of pork meat.
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Affiliation(s)
- Hirofumi Enomoto
- Dept. of Biosciences, Faculty of Science and Engineering, Teikyo Univ., Utsunomiya, 320-8551, Japan.,Div. of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo Univ., Utsunomiya, 320-8551, Japan.,Advanced Instrumental Analysis Center, Teikyo Univ., Utsunomiya, 320-8551, Japan
| | - Shiro Takeda
- Dept. of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu Univ., Sagamihara, 252-5201, Japan
| | - Hajime Hatta
- Dept. of Food and Nutrition, Faculty of Home Economics, Kyoto Women's Univ., Kyoto, 605-8501, Japan
| | - Nobuhiro Zaima
- Dept. of Applied Biological Chemistry, Graduate School of Agriculture, Kindai Univ., Nara, 631-8505, Japan.,Agricultural Technology and Innovation Research Inst., Kindai Univ., Nara, 631-8505, Japan
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23
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Takeda H, Takahashi M, Hara T, Izumi Y, Bamba T. Improved quantitation of lipid classes using supercritical fluid chromatography with a charged aerosol detector. J Lipid Res 2019; 60:1465-1474. [PMID: 31201290 DOI: 10.1194/jlr.d094516] [Citation(s) in RCA: 10] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/11/2019] [Indexed: 01/01/2023] Open
Abstract
Quantitatively and rapidly analyzing lipids is necessary to elucidate their biological functions. Herein, we developed a quantitative method for various lipid classes using supercritical fluid chromatography (SFC) coupled with a charged aerosol detector (CAD), providing high-throughput data analysis to detect a large number of molecules in each lipid class as one peak. Applying the CAD was useful for analyzing lipid molecules in the same lipid class with a constant response under the same mobile phase composition. First, we optimized the washing method for the diethylamine column, achieving baseline separation of lipid classes while maintaining good peak shapes. In addition, the CAD conditions (organic solvent evaporation and numerical correction of the CAD data) were optimized to improve the signal-to-noise ratio. We used an internal standard (ceramide phosphoethanolamine d17:1-12:0), which did not coelute with the lipid classes and showed high extraction efficiency. Based on a quantitative analysis of HepG2 cells, the concentration of lipid classes detected by CAD was adequate compared with that obtained by triple-quadrupole MS (QqQMS) in a previous study because the deviations of the concentrations were 0.6- to 2.3-fold. These results also supported the quantitative performance of SFC-QqQMS developed in our previous report.
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Affiliation(s)
- Hiroaki Takeda
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Masatomo Takahashi
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takeshi Hara
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoshihiro Izumi
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takeshi Bamba
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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24
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Barbacini P, Casas J, Torretta E, Capitanio D, Maccallini G, Hirschler V, Gelfi C. Regulation of Serum Sphingolipids in Andean Children Born and Living at High Altitude (3775 m). Int J Mol Sci. 2019;20. [PMID: 31212599 PMCID: PMC6600227 DOI: 10.3390/ijms20112835] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 06/04/2019] [Accepted: 06/05/2019] [Indexed: 12/13/2022] Open
Abstract
Recent studies on Andean children indicate a prevalence of dyslipidemia and hypertension compared to dwellers at lower altitudes, suggesting that despite similar food intake and daily activities, they undergo different metabolic adaptations. In the present study, the sphingolipid pattern was investigated in serum of 7 underweight (UW), 30 normal weight (NW), 13 overweight (OW), and 9 obese (O) Andean children by liquid chromatography-mass spectrometry (LC-MS). Results indicate that levels of Ceramides (Cers) and sphingomyelins (SMs) correlate positively with biochemical parameters (except for Cers and Vitamin D, which correlate negatively), whereas sphingosine-1-phosphate (S1P) correlates negatively. Correlation results and LC-MS data identify the axis high density lipoprotein-cholesterol (HDL-C), Cers, and S1P as related to hypoxia adaptation. Specifically UW children are characterized by increased levels of S1P compared to O and lower levels of Cers compared to NW children. Furthermore, O children show lower levels of S1P and similar levels of Cers and SMs as NW. In conclusion, our results indicate that S1P is the primary target of hypoxia adaptation in Andean children, and its levels are associated with hypoxia tolerance. Furthermore, S1P can act as marker of increased risk of metabolic syndrome and cardiac dysfunction in young Andeans living at altitude.
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25
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Li D, Misialek JR, Jack CR, Mielke MM, Knopman D, Gottesman R, Mosley T, Alonso A. Plasma Metabolites Associated with Brain MRI Measures of Neurodegeneration in Older Adults in the Atherosclerosis Risk in Communities⁻Neurocognitive Study (ARIC-NCS). Int J Mol Sci 2019; 20:ijms20071744. [PMID: 30970556 PMCID: PMC6479561 DOI: 10.3390/ijms20071744] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 03/28/2019] [Accepted: 04/01/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Plasma metabolites are associated with cognitive and physical function in the elderly. Because cerebral small vessel disease (SVD) and neurodegeneration are common causes of cognitive and physical function decline, the primary objective of this study was to investigate the associations of six plasma metabolites (two plasma phosphatidylcholines [PCs]: PC aa C36:5 and PC aa 36:6 and four sphingomyelins [SMs]: SM C26:0, SM [OH] C22:1, SM [OH] C22:2, SM [OH] C24:1) with magnetic resonance imaging (MRI) features of cerebral SVD and neurodegeneration in older adults. Methods: This study included 238 older adults in the Atherosclerosis Risk in Communities study at the fifth exam. Multiple linear regression was used to assess the association of each metabolite (log-transformed) in separate models with MRI measures except lacunar infarcts, for which binary logistic regression was used. Results: Higher concentrations of plasma PC aa C36:5 had adverse associations with MRI features of cerebral SVD (odds ratio of 1.69 [95% confidence interval: 1.01, 2.83] with lacunar infarct, and beta of 0.16 log [cm3] [0.02, 0.30] with log [White Matter Hyperintensities (WMH) volume]) while higher concentrations of 3 plasma SM (OH)s were associated with higher total brain volume (beta of 12.0 cm3 [5.5, 18.6], 11.8 cm3 [5.0, 18.6], and 7.3 cm3 [1.2, 13.5] for SM [OH] C22:1, SM [OH] C22:2, and SM [OH] C24:1, respectively). Conclusions: This study identified associations between certain plasma metabolites and brain MRI measures of SVD and neurodegeneration in older adults, particularly higher SM (OH) concentrations with higher total brain volume.
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Affiliation(s)
- Danni Li
- Department of Lab Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, MMC 609, Minneapolis, MN 55455, USA.
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55906, USA.
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - David Knopman
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
| | - Tom Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
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26
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Wood PL, Donohue MN, Cebak JE, Beckmann TG, Treece M, Johnson JW, Miller LMJ. Tear Film Amphiphilic and Anti-Inflammatory Lipids in Bovine Pink Eye. Metabolites 2018; 8:metabo8040081. [PMID: 30469369 PMCID: PMC6316582 DOI: 10.3390/metabo8040081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 11/08/2018] [Accepted: 11/16/2018] [Indexed: 12/13/2022] Open
Abstract
Background: Tear film fluid serves as a dynamic barrier that both lubricates the eye and protects against allergens and infectious agents. However, a detailed analysis of a bacteria-induced immune response on the tear film lipidome has not been undertaken. Methods: We undertook a high-resolution mass spectrometry lipidomics analysis of endogenous anti-inflammatory and structural tear film lipids in bovine pink eye. Results: Bovine pink eye resulted in dramatic elevations in tear fluid levels of the anti-inflammatory lipids resolvin E2, cyclic phosphatidic acid 16:0, and cyclic phosphatidic acid 18:0. In addition, there were elevated levels of the structural lipids (O-acyl)-ω-hydroxy-fatty acids, cholesterol sulfate, ethanolamine plasmalogens, and sphingomyelins. Lipid peroxidation also was augmented in pink eye as evidenced by the hydroperoxy derivatives of ethanolamine plasmalogens. Conclusions: Ocular infections with Moraxella bovis result in the induction of a number of endogenous anti-inflammatory lipids and augmentation of the levels of structural glycerophospholipids and sphingolipids. Increased levels of hydroperoxy glycerophospholipids also indicate that this bacterial infection results in lipid peroxidation.
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Affiliation(s)
- Paul L Wood
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - Michelle N Donohue
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - John E Cebak
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
- Department of Medicine, DeBusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - Taylor G Beckmann
- Department of Medicine, DeBusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - MacKenzie Treece
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - Jason W Johnson
- College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
| | - Lynda M J Miller
- College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
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27
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Mi J, Han Y, Xu Y, Kou J, Li WJ, Wang JR, Jiang ZH. Deep Profiling of Immunosuppressive Glycosphingolipids and Sphingomyelins in Wild Cordyceps. J Agric Food Chem 2018; 66:8991-8998. [PMID: 30059214 DOI: 10.1021/acs.jafc.8b02706] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Deep profiling of glycosphingolipids and sphingomyelins in wild Cordyceps was carried out by using offline chromatographic enrichment followed by ultrahigh performance liquid chromatography-ultrahigh definition-quadrupole time-of-flight mass spectrometry (UHPLC-UHD-Q-TOF-MS). A total of 119 glycosphingolipids (72 new ones) and 87 sphingomyelins (43 new ones) were identified from wild Cordyceps on the basis of the accurate mass and MS/MS fragmentations, isotope patterns, sphingolipid (SPL) database matching, confirmation by SPL standards, and the reversed-phase liquid chromatographic retention rule. This study is the most comprehensive report on the identification of glycosphingolipids and sphingomyelins from fungus. A subsequent lipopolysaccharide-induced mouse splenic lymphocyte proliferation assay showed that the Cordyceps glycosphingolipid fraction exhibits higher immunosuppressive activity compared to that of Cordyceps sphingomyelins. Our findings provided insight into the chemical diversity of sphingolipids in Cordyceps and chemical evidence for the therapeutic application of wild Cordyceps.
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Affiliation(s)
- Jianing Mi
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health , Macau University of Science and Technology , Macau , China
| | - Yuwei Han
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCM , China Pharmaceutical University , 639 Longmian Road , Nanjing 211198 , China
| | - Yingqiong Xu
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCM , China Pharmaceutical University , 639 Longmian Road , Nanjing 211198 , China
| | - Junping Kou
- Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCM , China Pharmaceutical University , 639 Longmian Road , Nanjing 211198 , China
| | - Wen-Jia Li
- Key Laboratory of State Administration of Traditional Chinese Medicine , China HEC Pharm Co. Ltd , Guangdong 523850 , China
| | - Jing-Rong Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health , Macau University of Science and Technology , Macau , China
| | - Zhi-Hong Jiang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health , Macau University of Science and Technology , Macau , China
- International Institute for Translational Chinese Medicine , Guangzhou University of Chinese Medicine , Guangzhou , China
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28
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Santiago Valtierra FX, Mateos MV, Aveldaño MI, Oresti GM. Sphingomyelins and ceramides with VLCPUFAs are excluded from low-density raft-like domains in differentiating spermatogenic cells. J Lipid Res 2017; 58:529-542. [PMID: 28082410 DOI: 10.1194/jlr.m072595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 12/25/2016] [Indexed: 11/20/2022] Open
Abstract
Rat spermatogenic cells contain sphingomyelins (SMs) and ceramides (Cers) with very long-chain PUFAs (VLCPUFAs) in nonhydroxylated (n-V) and 2-hydroxylated (h-V) forms. How these atypical species distribute among membrane fractions during differentiation was investigated here using a detergent-free procedure to isolate a small light raft-like low-density fraction and a large heavy fraction, mostly derived from the plasma membrane of spermatocytes, round spermatids, and late spermatids. The light fraction contained cholesterol, glycerophospholipids (GPLs), and SM with the same saturated fatty acids in all three stages. In the heavy fraction, as PUFA increased in the GPL and VLCPUFA in SM from spermatocytes to spermatids, the concentration of cholesterol was also augmented. The heavy fraction had mostly n-V SM in spermatocytes, but accumulated h-V SM and h-V Cer in spermatids. A fraction containing intracellular membranes had less SM and more Cer than the latter, but in both fractions SM and Cer species with h-V increased over species with n-V with differentiation. This accretion of h-V was consistent with the differentiation-dependent expression of fatty acid 2-hydroxylase (Fa2h), as it increased significantly from spermatocytes to spermatids. The non-raft region of the plasma membrane is thus the main target of the dynamic lipid synthesis and remodeling that is involved in germ cell differentiation.
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Affiliation(s)
- Florencia X Santiago Valtierra
- Instituto de Investigaciones Bioquímicas de Bahía Blanca, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad Nacional del Sur (UNS), 8000 Bahía Blanca, Argentina
| | - Melina V Mateos
- Instituto de Investigaciones Bioquímicas de Bahía Blanca, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad Nacional del Sur (UNS), 8000 Bahía Blanca, Argentina
| | - Marta I Aveldaño
- Instituto de Investigaciones Bioquímicas de Bahía Blanca, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad Nacional del Sur (UNS), 8000 Bahía Blanca, Argentina
| | - Gerardo M Oresti
- Instituto de Investigaciones Bioquímicas de Bahía Blanca, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad Nacional del Sur (UNS), 8000 Bahía Blanca, Argentina
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Henríquez-Henríquez MP, Solari S, Quiroga T, Kim BI, Deckelbaum RJ, Worgall TS. Low serum sphingolipids in children with attention deficit-hyperactivity disorder. Front Neurosci 2015; 9:300. [PMID: 26379487 PMCID: PMC4548182 DOI: 10.3389/fnins.2015.00300] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 08/07/2015] [Indexed: 02/04/2023] Open
Abstract
Background: Attention deficit-hyperactivity disorder (ADHD) is the most prevalent neuropsychiatric condition in childhood. ADHD is a multifactorial trait with a strong genetic component. One neurodevelopmental hypothesis is that ADHD is associated with a lag in brain maturation. Sphingolipids are essential for brain development and neuronal functioning, but their role in ADHD pathogenesis is unexplored. We hypothesized that serum sphingolipid levels distinguish ADHD patients from unaffected subjects. Methods: We characterized serum sphingolipid profiles of ADHD patients and two control groups: non-affected relatives and non-affected subjects without a family history of ADHD. Sphingolipids were measured by LC-MS/MS in 77 participants (28 ADHD patients, 28 related controls, and 21 unrelated controls). ADHD diagnosis was based on the Diagnostic and Statistical Manual of Mental Disorders (DSM IV-TR). Diagnostic criteria were assessed by two independent observers. Groups were compared by parametrical statistics. Results: Serum sphingomyelins C16:0, C18:0, C18:1, C24:1, ceramide C24:0, and deoxy-ceramide C24:1 were significantly decreased in ADHD patients at 20–30% relative reductions. In our sample, decreased serum sphingomyelin levels distinguished ADHD patients with 79% sensitivity and 78% specificity. Conclusions: Our results showed lower levels of all major serum sphingomyelins in ADHD. These findings may reflect brain maturation and affect neuro-functional pathways characteristic for ADHD.
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Affiliation(s)
- Marcela P Henríquez-Henríquez
- Department of Pediatrics, Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile Santiago, Chile
| | - Sandra Solari
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile Santiago, Chile
| | - Teresa Quiroga
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile Santiago, Chile
| | - Benjamin I Kim
- Department of Pathology and Cell Biology, Columbia University New York, NY, USA
| | - Richard J Deckelbaum
- Department of Pediatrics, Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Tilla S Worgall
- Department of Pathology and Cell Biology, Columbia University New York, NY, USA
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30
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Bowler RP, Jacobson S, Cruickshank C, Hughes GJ, Siska C, Ory DS, Petrache I, Schaffer JE, Reisdorph N, Kechris K. Plasma sphingolipids associated with chronic obstructive pulmonary disease phenotypes. Am J Respir Crit Care Med 2015; 191:275-84. [PMID: 25494452 DOI: 10.1164/rccm.201410-1771oc] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
RATIONALE Chronic obstructive pulmonary disease (COPD) occurs in a minority of smokers and is characterized by intermittent exacerbations and clinical subphenotypes such as emphysema and chronic bronchitis. Although sphingolipids as a class are implicated in the pathogenesis of COPD, the particular sphingolipid species associated with COPD subphenotypes remain unknown. OBJECTIVES To use mass spectrometry to determine which plasma sphingolipids are associated with subphenotypes of COPD. METHODS One hundred twenty-nine current and former smokers from the COPDGene cohort had 69 distinct sphingolipid species detected in plasma by targeted mass spectrometry. Of these, 23 were also measured in 131 plasma samples (117 independent subjects) using an untargeted platform in an independent laboratory. Regression analysis with adjustment for clinical covariates, correction for false discovery rate, and metaanalysis were used to test associations between COPD subphenotypes and sphingolipids. Peripheral blood mononuclear cells were used to test associations between sphingolipid gene expression and plasma sphingolipids. MEASUREMENTS AND MAIN RESULTS Of the measured plasma sphingolipids, five sphingomyelins were associated with emphysema; four trihexosylceramides and three dihexosylceramides were associated with COPD exacerbations. Three sphingolipids were strongly associated with sphingolipid gene expression, and 15 sphingolipid gene/metabolite pairs were differentially regulated between COPD cases and control subjects. CONCLUSIONS There is evidence of systemic dysregulation of sphingolipid metabolism in patients with COPD. Subphenotyping suggests that sphingomyelins are strongly associated with emphysema and glycosphingolipids are associated with COPD exacerbations.
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Park H, Zhou Y, Costello CE. Direct analysis of sialylated or sulfated glycosphingolipids and other polar and neutral lipids using TLC-MS interfaces. J Lipid Res 2014; 55:773-81. [PMID: 24482490 DOI: 10.1194/jlr.d046128] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Gangliosides and sulfatides (STs) are acidic glycosphingolipids (GSLs) that have one or more sialic acids or sulfate substituents, in addition to neutral sugars, attached to the C-1 hydroxyl group of the ceramide long chain base. TLC is a widely employed and convenient technique for separation and characterization of GSLs. When TLC is directly coupled to MS, it provides both the molecular mass and structural information without further purification. Here, after development of the TLC plates, the structural analyses of acidic GSLs, including gangliosides and STs, were investigated using the liquid extraction surface analysis (LESA™) and CAMAG TLC-MS interfaces coupled to an ESI QSTAR Pulsar i quadrupole orthogonal TOF mass spectrometer. Coupling TLC with ESI-MS allowed the acquisition of high resolution mass spectra of the acidic GSLs with high sensitivity and mass accuracy, without the loss of sialic acid residues that frequently occurs during low-pressure MALDI MS. These systems were then applied to the analysis of total lipid extracts from bovine brain. This allowed profiling of many different lipid classes, not only gangliosides and STs, but also SMs, neutral GSLs, and phospholipids.
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Affiliation(s)
- Hyejung Park
- Mass Spectrometry Resource and Department of Biochemistry, Boston University School of Medicine, Boston, MA 02118
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Fiedorowicz A, Prokopiuk S, Zendzian-Piotrowska M, Chabowski A, Car H. Sphingolipid profiles are altered in prefrontal cortex of rats under acute hyperglycemia. Neuroscience 2013; 256:282-91. [PMID: 24161280 DOI: 10.1016/j.neuroscience.2013.10.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [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: 07/25/2013] [Revised: 09/12/2013] [Accepted: 10/10/2013] [Indexed: 12/14/2022]
Abstract
Diabetes type 1 is a common autoimmune disease manifesting by insulin deficiency and hyperglycemia, which can lead to dementia-like brain dysfunctions. The factors triggering the pathological processes in hyperglycemic brain remain unknown. We reported in this study that brain areas with different susceptibility to diabetes (prefrontal cortex (PFC), hippocampus, striatum and cerebellum) revealed differential alterations in ceramide (Cer) and sphingomyelin (SM) profiles in rats with streptozotocin-induced hyperglycemia. Employing gas-liquid chromatography, we found that level of total Cer increased significantly only in the PFC of diabetic animals, which also exhibited a broad spectrum of sphingolipid (SLs) changes, such as elevations of Cer-C16:0, -C18:0, -C20:0, -C22:0, -C18:1, -C24:1 and SM-C16:0 and -C18:1. In opposite, only minor changes were noted in other examined structures. In addition, de novo synthesis pathway could play a role in generation of Cer containing monounsaturated fatty acids in PFC during hyperglycemia. In turn, simultaneous accumulation of Cers and their SM counterparts may suggest that overproduced Cers are converted to SMs to avoid excessive Cer-mediated cytotoxicity. We conclude that broad changes in SLs compositions in PFC induced by hyperglycemia may provoke membrane rearrangements in some cell populations, which can disturb cellular signaling and cause tissue damage.
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Affiliation(s)
- A Fiedorowicz
- Department of Experimental Pharmacology, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland
| | - S Prokopiuk
- Department of Experimental Pharmacology, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland
| | - M Zendzian-Piotrowska
- Department of Physiology, Medical University of Bialystok, Mickiewicza 2c, 15-222 Bialystok, Poland
| | - A Chabowski
- Department of Physiology, Medical University of Bialystok, Mickiewicza 2c, 15-222 Bialystok, Poland
| | - H Car
- Department of Experimental Pharmacology, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland.
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