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Kahle M, Schäfer A, Seelig A, Schultheiß J, Wu M, Aichler M, Leonhardt J, Rathkolb B, Rozman J, Sarioglu H, Hauck SM, Ueffing M, Wolf E, Kastenmueller G, Adamski J, Walch A, Hrabé de Angelis M, Neschen S. High fat diet-induced modifications in membrane lipid and mitochondrial-membrane protein signatures precede the development of hepatic insulin resistance in mice. Mol Metab 2014; 4:39-50. [PMID: 25685688 PMCID: PMC4314525 DOI: 10.1016/j.molmet.2014.11.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 11/05/2014] [Accepted: 11/07/2014] [Indexed: 12/14/2022] Open
Abstract
Objective Excess lipid intake has been implicated in the pathophysiology of hepatosteatosis and hepatic insulin resistance. Lipids constitute approximately 50% of the cell membrane mass, define membrane properties, and create microenvironments for membrane-proteins. In this study we aimed to resolve temporal alterations in membrane metabolite and protein signatures during high-fat diet (HF)-mediated development of hepatic insulin resistance. Methods We induced hepatosteatosis by feeding C3HeB/FeJ male mice an HF enriched with long-chain polyunsaturated C18:2n6 fatty acids for 7, 14, or 21 days. Longitudinal changes in hepatic insulin sensitivity were assessed via the euglycemic-hyperinsulinemic clamp, in membrane lipids via t-metabolomics- and membrane proteins via quantitative proteomics-analyses, and in hepatocyte morphology via electron microscopy. Data were compared to those of age- and litter-matched controls maintained on a low-fat diet. Results Excess long-chain polyunsaturated C18:2n6 intake for 7 days did not compromise hepatic insulin sensitivity, however, induced hepatosteatosis and modified major membrane lipid constituent signatures in liver, e.g. increased total unsaturated, long-chain fatty acid-containing acyl-carnitine or membrane-associated diacylglycerol moieties and decreased total short-chain acyl-carnitines, glycerophosphocholines, lysophosphatidylcholines, or sphingolipids. Hepatic insulin sensitivity tended to decrease within 14 days HF-exposure. Overt hepatic insulin resistance developed until day 21 of HF-intervention and was accompanied by morphological mitochondrial abnormalities and indications for oxidative stress in liver. HF-feeding progressively decreased the abundance of protein-components of all mitochondrial respiratory chain complexes, inner and outer mitochondrial membrane substrate transporters independent from the hepatocellular mitochondrial volume in liver. Conclusions We assume HF-induced modifications in membrane lipid- and protein-signatures prior to and during changes in hepatic insulin action in liver alter membrane properties – in particular those of mitochondria which are highly abundant in hepatocytes. In turn, a progressive decrease in the abundance of mitochondrial membrane proteins throughout HF-exposure likely impacts on mitochondrial energy metabolism, substrate exchange across mitochondrial membranes, contributes to oxidative stress, mitochondrial damage, and the development of insulin resistance in liver.
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Key Words
- 2-[14C]DG, 2-[1-14C]deoxyglucose
- ALT, alanine aminotransferase
- AUC, area under the curve
- B, basal
- Basal, 17 h fasting
- Clamp
- DAG, diacylglycerol
- Diabetes
- EGP, endogenous (hepatic) glucose production
- GIR, glucose infusion rate
- HF, high-fat diet
- Hepatosteatosis
- IS, insulin-stimulated
- LF, low-fat diet
- Metabolomics
- Mitochondria
- NEFA, non-esterified fatty acids
- PCaa, diacylglycerophosphocholine
- PCae, glycerophosphocholine
- Proteomics
- ROS, reactive oxygen species
- Ra, rate of appearance
- Rd, rate of disappearance
- Rg, glucose metabolic index
- SM, sphingolipid
- TAG, triacylglycerol
- WAT, white adipose tissue
- lysoPC, lysophosphatidylcholines
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Ramaswamy V, Remke M, Adamski J, Bartels U, Tabori U, Huang A, Taylor M, Bouffet E. GE-27 * THERAPEUTIC IMPLICATIONS OF MEDULLOBLASTOMA SUBGROUPS IN CHILDREN OVER AGE 3: A SINGLE CENTRE POPULATION BASED EXPERIENCE. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou256.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Floegel A, Wientzek A, Bachlechner U, Jacobs S, Drogan D, Prehn C, Adamski J, Krumsiek J, Schulze MB, Pischon T, Boeing H. Linking diet, physical activity, cardiorespiratory fitness and obesity to serum metabolite networks: findings from a population-based study. Int J Obes (Lond) 2014; 38:1388-96. [PMID: 24608922 PMCID: PMC4229626 DOI: 10.1038/ijo.2014.39] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 02/17/2014] [Accepted: 02/20/2014] [Indexed: 12/29/2022]
Abstract
OBJECTIVE It is not yet resolved how lifestyle factors and intermediate phenotypes interrelate with metabolic pathways. We aimed to investigate the associations between diet, physical activity, cardiorespiratory fitness and obesity with serum metabolite networks in a population-based study. METHODS The present study included 2380 participants of a randomly drawn subcohort of the European Prospective Investigation into Cancer and Nutrition-Potsdam. Targeted metabolomics was used to measure 127 serum metabolites. Additional data were available including anthropometric measurements, dietary assessment including intake of whole-grain bread, coffee and cake and cookies by food frequency questionnaire, and objectively measured physical activity energy expenditure and cardiorespiratory fitness in a subsample of 100 participants. In a data-driven approach, Gaussian graphical modeling was used to draw metabolite networks and depict relevant associations between exposures and serum metabolites. In addition, the relationship of different exposure metabolite networks was estimated. RESULTS In the serum metabolite network, the different metabolite classes could be separated. There was a big group of phospholipids and acylcarnitines, a group of amino acids and C6-sugar. Amino acids were particularly positively associated with cardiorespiratory fitness and physical activity. C6-sugar and acylcarnitines were positively associated with obesity and inversely with intake of whole-grain bread. Phospholipids showed opposite associations with obesity and coffee intake. Metabolite networks of coffee intake and obesity were strongly inversely correlated (body mass index (BMI): r = -0.57 and waist circumference: r = -0.59). A strong positive correlation was observed between metabolite networks of BMI and waist circumference (r = 0.99), as well as the metabolite networks of cake and cookie intake with cardiorespiratory fitness and intake of whole-grain bread (r = 0.52 and r = 0.50; respectively). CONCLUSIONS Lifestyle factors and phenotypes seem to interrelate in various metabolic pathways. A possible protective effect of coffee could be mediated via counterbalance of pathways of obesity involving hepatic phospholipids. Experimental studies should validate the biological mechanisms.
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Adamski J, Taylor M, Tabori U, Huang A, Bartels U, Ramaswamy V, Krishnatry R, Laperriere N, Hawkins C, Bouffet E. PT-01 * THE IMPACT OF INITIAL RADIATION IN INFANTS AND THE RE-IRRADIATION OF RECURRENT DISEASE ON THE SURVIVAL OF EPENDYMOMA PATIENTS AT THE HOSPITAL FOR SICK CHILDREN, TORONTO. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou266.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Hoffman LM, Donson AM, Nakachi I, Griesinger AM, Birks DK, Amani V, Hemenway MS, Liu AK, Wang M, Hankinson TC, Handler MH, Foreman NK, Zakrzewska M, Zakrzewski K, Fendler W, Stefanczyk L, Liberski PP, Massimino M, Gandola L, Ferroli P, Valentini L, Biassoni V, Garre ML, Sardi I, Genitori L, Giussani C, Massimi L, Bertin D, Mussano A, Viscardi E, Modena P, Mastronuzzi A, Barra S, Scarzello G, Cinalli G, Peretta P, Giangaspero F, Massimino M, Boschetti L, Biassoni V, Garre ML, Schiavello E, Sardi I, Genitori L, Bertin D, Modena P, Calareso G, Barra S, Scarzello G, Cinalli G, Peretta P, Mastronuzzi A, Giussani C, Giangaspero F, Antonelli M, Pecori E, Gandola L, Massimino M, Biassoni V, Di Meco F, Garre ML, Schiavello E, Sardi I, Genitori L, Bertin D, Viscardi E, Modena P, Barra S, Scarzello G, Cinalli G, Peretta P, Migliorati R, Taborelli A, Giangaspero F, Antonelli M, Pecori E, Gandola L, Witt H, Sill M, Wani K, Mack SC, Capper D, Pajtler K, Lambert S, Tzaridis T, Milde T, Northcott PA, Kulozik AE, Witt O, Collins VP, Ellison DW, Taylor MD, Kool M, Jones DTW, Korshunov A, Ken A, Pfister SM, Makino K, Nakamura H, Kuroda JI, Kuratsu JI, Toledano H, Margolin Y, Ohali A, Michowiz S, Witt H, Johann P, Tzaridis T, Tabori U, Walker E, Hawkins C, Taylor M, Yaniv I, Avigad S, Hoffman L, Plimpton SR, Foreman NK, Stence NV, Hankinson TC, Handler MH, Hemenway MS, Vibhakar R, Liu AK, Lourdusamy A, Rahman R, Ward J, Rogers H, Grundy R, Punchihewa C, Lee R, Lin T, Orisme W, Dalton J, Aronica E, Smith A, Gajjar A, Onar A, Pounds S, Tatevossian R, Merchant T, Ellison D, Parker M, Mohankumar K, Punchihewa C, Weinlich R, Dalton J, Tatevossian R, Phoenix T, Thiruvenkatam R, White E, Gupta K, Gajjar A, Merchant T, Boop F, Smith A, Ding L, Mardis E, Wilson R, Downing J, Ellison D, Gilbertson R, Ward J, Lourdusamy A, Speed D, Gould T, Grundy R, Rahman R, Mack SC, Witt H, Pfister SM, Korshunov A, Taylor MD, Consortium TIE, Hoffman LM, Griesinger A, Donson A, Birks D, Amani V, Foreman NK, Ohe N, Yano H, Nakayama N, Iwama T, Wright K, Hassall T, Bowers DC, Crawford J, Bendel A, Fisher PG, Merchant T, Ellison D, Klimo P, Boop F, Armstrong G, Qaddoumi I, Robinson G, Wetmore C, Broniscer A, Gajjar A, Rogers H, Chapman R, Mayne C, Duane H, Kilday JP, Coyle B, Grundy R, Graul-Conroy A, Hartsell W, Bragg T, Goldman S, Rebsamen S, Puccetti D, Salamat S, Patel NJ, Gomi A, Oguma H, Hayase T, Kawahara Y, Yagi M, Morimoto A, Wilbur C, Dunham C, Hawkins C, Tabori U, Mabbott D, Carret AS, Lafay-Cousin L, McNeely PD, Eisenstat D, Wilson B, Johnston D, Hukin J, Mynarek M, Kortmann RD, Kaatsch P, Pietsch T, Timmermann B, Fleischhack G, Benesch M, Friedrich C, von Bueren AO, Gerber NU, Muller K, Tippelt S, Warmuth-Metz M, Rutkowski S, von Hoff K, Murugesan MK, White E, Poppleton H, Thiruvenkatam R, Gupta K, Currle S, Kranenburg T, Eden C, Wright K, Ellison D, Gilbertson R, Boulos N, Dapper J, Patel Y, Wright K, Mohankumar K, Freeman B, Gajjar A, Shelat A, Stewart C, Guy R, Gilbertson R, Adamski J, Taylor M, Tabori U, Huang A, Bartels U, Ramaswamy V, Krishnatry R, Laperriere N, Hawkins C, Bouffet E, Araki A, Chocholous M, Gojo J, Dorfer C, Czech T, Dieckmann K, Slavc I, Haberler C, Pietsch T, Mynarek M, Doerner E, Muehlen AZ, Warmuth-Metz M, Kortmann R, von Buehren A, Friedrich C, von Hoff K, Rutkowski S, von Hoff K, Kortmann RD, Gerber NU, Mynarek M, Muller K, Friedrich C, von Bueren AO, Benesch M, Warmuth-Metz M, Ottensmeier H, Resch A, Kwiecien R, Faldum A, Kuehl J, Pietsch T, Rutkowski S, Sabnis D, Storer L, Simmonds L, Blackburn S, Lowe J, Grundy R, Kerr I, Coyle B, Pietsch T, Wohlers I, Goschzik T, Dreschmann V, Denkhaus D, Doerner E, Rahmann S, Klein-Hitpass L, Iglesias MJL, Riet FG, Dhermain FD, Canale S, Dufour C, Rose CS, Puget S, Grill J, Bolle S, Parkes J, Davidson A, Figaji A, Pillay K, Kilborn T, Padayachy L, Hendricks M, Van Eyssen A, Piccinin E, Lorenzetto E, Brenca M, Massimino M, Modena P, Taylor M, Ramaswamy V, Bouffet E, Aldape K, Cho YJ, Weiss W, Phillips J, Jabado N, Mora J, Fan X, Jung S, Lee JY, Zitterbart K, French P, Kros JM, Hauser P, Faria C, Korshunov A, Pfister S, Mack SC. EPENDYMOMA. Neuro Oncol 2014; 16:i17-i25. [PMCID: PMC4046284 DOI: 10.1093/neuonc/nou068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2023] Open
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Shofty B, Bokstein F, Ram Z, Ben-Sira L, Freedman S, Kesler A, Constantini S, Shofty B, Mauda-Havakuk M, Ben-Bashat D, Dvir R, Pratt LT, Weizman L, Joskowicz L, Tal M, Ravid L, Ben-Sira L, Constantini S, Dodgshun A, Maixner W, Sullivan M, Hansford J, Ma J, Wang B, Toledano H, Muhsinoglu O, Luckman J, Michowiz S, Goldenberg-Cohen N, Schroeder K, Rosenfeld A, Grant G, McLendon R, Cummings T, Becher O, Gururangan S, Aguilera D, Mazewski C, Janss A, Castellino RC, Schniederjan M, Hayes L, Brahma B, MacDonald T, Osugi Y, Kiyotani C, Sakamoto H, Yanagisawa T, Kanno M, Kamimura S, Kosaka Y, Hirado J, Takimoto T, Nakazawa A, Hara J, Hwang E, Mun A, Kilburn L, Chi S, Knipstein J, Oren M, Dvir R, Hardy K, Rood B, Packer R, Kandels D, Schmidt R, Geh M, Breitmoser-Greiner S, Gnekow AK, Bergthold G, Bandopadhayay P, Rich B, Chan J, Santagata S, Hoshida Y, Ramkissoon S, Ramkissoon L, Golub T, Tabak B, Ferrer-Luna R, Weng PY, Stiles C, Grill J, Kieran MW, Ligon KL, Beroukhim R, Fisher MJ, Levin MH, Armstrong GT, Broad JH, Zimmerman R, Bilaniuk LT, Feygin T, Liu GT, Gan HW, Phipps K, Spoudeas HA, Kohorst M, Warad D, Keating G, Childs S, Giannini C, Wetjen N, Rao; AN, Nakamura H, Makino K, Hide T, Kuroda JI, Shinojima N, Yano S, Kuratsu JI, Rush S, Madden J, Hemenway M, Foreman N, Sie M, den Dunnen WFA, Lourens HJ, Meeuwsen-de Boer TGJ, Scherpen FJG, Kampen KR, Hoving EW, de Bont ESJM, Gnekow AK, Kandels D, Walker DA, Perilongo G, Grill J, Stokland T, Sehested AM, van Schouten AYN, de Paoli A, de Salvo GL, Pache-Leschhorn S, Geh M, Schmidt R, Gnekow AK, Gass D, Rupani K, Tsankova N, Stark E, Anderson R, Feldstein N, Garvin J, Deel M, McLendon R, Becher O, Karajannis M, Wisoff J, Muh C, Schroeder K, Gururangan S, del Bufalo F, Carai A, Macchiaiolo M, Messina R, Cacchione A, Palmiero M, Cambiaso P, Mastronuzzi A, Anderson M, Leary S, Sun Y, Buhrlage S, Pilarz C, Alberta J, Stiles C, Gray N, Mason G, Packer R, Hwang E, Biassoni V, Schiavello E, Bergamaschi L, Chiaravalli S, Spreafico F, Massimino M, Krishnatry R, Kroupnik T, Zhukova N, Mistry M, Zhang C, Bartels U, Huang A, Adamski J, Dirks P, Laperriere N, Silber J, Hawkins C, Bouffet E, Tabori U, Riccardi R, Rizzo D, Chiaretti A, Piccardi M, Dickmann A, Lazzareschi I, Ruggiero A, Guglielmi G, Salerni A, Manni L, Colosimo C, Falsini B, Rosenfeld A, Etzl M, Miller J, Carpenteri D, Kaplan A, Sieow N, Hoe R, Tan AM, Chan MY, Soh SY, Orphanidou-Vlachou E, MacPherson L, English M, Auer D, Jaspan T, Arvanitis T, Grundy R, Peet A, Bandopadhayay P, Bergthold G, Sauer N, Green A, Malkin H, Dabscheck G, Marcus K, Ullrich N, Goumnerova L, Chi S, Beroukhim R, Kieran M, Manley P, Donson A, Kleinschmidt-DeMasters B, Aisner D, Bemis L, Birks D, Mulcahy-Levy J, Smith A, Handler M, Rush S, Foreman N, Davidson A, Figaji A, Pillay K, Kilborn T, Padayachy L, Hendricks M, van Eyssen A, Parkes J, Gass D, Dewire M, Chow L, Rose SR, Lawson S, Stevenson C, Jones B, Pai A, Sutton M, Pruitt D, Fouladi M, Hummel T, Cruz O, de Torres C, Sunol M, Morales A, Santiago C, Alamar M, Rebollo M, Mora J, Sauer N, Dodgshun A, Malkin H, Bergthold G, Manley P, Chi S, Ramkissoon S, MacGregor D, Beroukhim R, Kieran M, Sullivan M, Ligon K, Bandopadhayay P, Hansford J, Messina R, De Benedictis A, Carai A, Mastronuzzi A, Rebessi E, Palma P, Procaccini E, Marras CE, Aguilera D, Castellino RC, Janss A, Schniederjan M, McNall R, Kim S, MacDOnald T, Mazewski C, Zhukova N, Pole J, Mistry M, Fried I, Krishnatry R, Stucklin AG, Bartels U, Huang A, Laperriere N, Dirks P, Zelcer S, Sylva M, Johnston D, Scheinemann K, An J, Hawkins C, Nathan P, Greenberg M, Bouffet E, Malkin D, Tabori U, Kiehna E, Da Silva S, Margol A, Robison N, Finlay J, McComb JG, Krieger M, Wong K, Bluml S, Dhall G, Ayyanar K, Moriarty T, Moeller K, Farber D. LOW GRADE GLIOMAS. Neuro Oncol 2014; 16:i60-i70. [PMCID: PMC4046289 DOI: 10.1093/neuonc/nou073] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2023] Open
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Renner S, Streckel E, Braun-Reichhart C, Römisch-Margl W, Prehn C, Adamski J, Wolf E. Metabolic footprint of the GLP-1 receptor agonist liraglutide in adolescent transgenic pigs with impaired incretin function. DIABETOL STOFFWECHS 2014. [DOI: 10.1055/s-0034-1375129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Kretschmer A, Möller G, Lee H, Laumen H, von Toerne C, Schramm K, Prokisch H, Eyerich S, Wahl S, Baurecht H, Franke A, Claussnitzer M, Eyerich K, Teumer A, Milani L, Klopp N, Hauck SM, Illig T, Peters A, Waldenberger M, Adamski J, Reischl E, Weidinger S. A common atopy-associated variant in the Th2 cytokine locus control region impacts transcriptional regulation and alters SMAD3 and SP1 binding. Allergy 2014; 69:632-42. [PMID: 24661001 DOI: 10.1111/all.12394] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2014] [Indexed: 01/17/2023]
Abstract
BACKGROUND Type 2 immune responses directed by Th2 cells and characterized by the signature cytokines IL4, IL5, and IL13 play major pathogenic roles in atopic diseases. Single nucleotide polymorphisms in the human Th2 cytokine locus in particular in a locus control region within the DNA repair gene RAD50, containing several RAD50 DNase1-hypersensitive sites (RHS), have been robustly associated with atopic traits in genome-wide association studies (GWAS). Functional variants in IL13 have been intensely studied, whereas no causative variants for the IL13-independent RAD50 signal have been identified yet. This study aimed to characterize the functional impact of the atopy-associated polymorphism rs2240032 located in the human RHS7 on cis-regulatory activity and differential binding of transcription factors. METHODS Differential transcription factor binding was analyzed by electrophoretic mobility shift assays (EMSAs) with Jurkat T-cell nuclear extracts. Identification of differentially binding factors was performed using mass spectrometry (LC-MS/MS). Reporter vector constructs carrying either the major or minor allele of rs2240032 were tested for regulating transcriptional activity in Jurkat and HeLa cells. RESULTS The variant rs2240032 impacts transcriptional activity and allele-specific binding of SMAD3, SP1, and additional putative protein complex partners. We further demonstrate that rs2240032 is located in an RHS7 subunit which itself encompasses repressor activity and might be important for the fine-tuning of transcription regulation within this region. CONCLUSION The human RHS7 critically contributes to the regulation of gene transcription, and the common atopy-associated polymorphism rs2240032 impacts transcriptional activity and transcription factor binding.
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Mook-Kanamori DO, Römisch-Margl W, Kastenmüller G, Prehn C, Petersen AK, Illig T, Gieger C, Wang-Sattler R, Meisinger C, Peters A, Adamski J, Suhre K. Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up. J Endocrinol Invest 2014; 37:369-74. [PMID: 24682914 PMCID: PMC3972444 DOI: 10.1007/s40618-013-0044-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Accepted: 12/10/2013] [Indexed: 02/01/2023]
Abstract
BACKGROUND Recently, five branched-chain and aromatic amino acids were shown to be associated with the risk of developing type 2 diabetes (T2D). AIM We set out to examine whether amino acids are also associated with the development of hypertriglyceridemia. MATERIALS AND METHODS We determined the serum amino acids concentrations of 1,125 individuals of the KORA S4 baseline study, for which follow-up data were available also at the KORA F4 7 years later. After exclusion for hypertriglyceridemia (defined as having a fasting triglyceride level above 1.70 mmol/L) and diabetes at baseline, 755 subjects remained for analyses. RESULTS Increased levels of leucine, arginine, valine, proline, phenylalanine, isoleucine and lysine were significantly associated with an increased risk of hypertriglyceridemia. These associations remained significant when restricting to those individuals who did not develop T2D in the 7-year follow-up. The increase per standard deviation of amino acid level was between 26 and 40 %. CONCLUSIONS Seven amino acids were associated with an increased risk of developing hypertriglyceridemia after 7 years. Further studies are necessary to elucidate the complex role of these amino acids in the pathogenesis of metabolic disorders.
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Hotze M, Baurecht H, Rodríguez E, Chapman-Rothe N, Ollert M, Fölster-Holst R, Adamski J, Illig T, Ring J, Weidinger S. Increased efficacy of omalizumab in atopic dermatitis patients with wild-type filaggrin status and higher serum levels of phosphatidylcholines. Allergy 2014; 69:132-5. [PMID: 24111531 DOI: 10.1111/all.12234] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2013] [Indexed: 11/30/2022]
Abstract
Omalizumab, a monoclonal antibody targeting IgE, is an established therapy for severe allergic asthma and has shown efficacy in chronic spontaneous urticaria. Small-scale studies indicated some beneficial effect also in atopic dermatitis (AD). To evaluate the efficacy of omalizumab in AD and to identify markers associated with treatment response, we conducted a prospective 28-week open-label trial on 20 adults with moderate-to-severe AD. Our results confirm previous observations of a positive response in a subgroup of patients and suggest that responders are characterized by the absence of filaggrin mutations and altered lipid metabolite profiles with high levels of various glycerophospholipids.
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Halama A, Riesen N, Möller G, Hrabě de Angelis M, Adamski J. Identification of biomarkers for apoptosis in cancer cell lines using metabolomics: tools for individualized medicine. J Intern Med 2013; 274:425-39. [PMID: 24127940 DOI: 10.1111/joim.12117] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Metabolomics is a versatile unbiased method to search for biomarkers of human disease. In particular, one approach in cancer therapy is to promote apoptosis in tumour cells; this could be improved with specific biomarkers of apoptosis for monitoring treatment. We recently observed specific metabolic patterns in apoptotic cell lines; however, in that study, apoptosis was only induced with one pro-apoptotic agent, staurosporine. OBJECTIVE The aim of this study was to find novel biomarkers of apoptosis by verifying our previous findings using two further pro-apoptotic agents, 5-fluorouracil and etoposide, that are commonly used in anticancer treatment. METHODS Metabolic parameters were assessed in HepG2 and HEK293 cells using the newborn screening assay adapted for cell culture approaches, quantifying the levels of amino acids and acylcarnitines with mass spectrometry. RESULTS We were able to identify apoptosis-specific changes in the metabolite profile. Moreover, the amino acids alanine and glutamate were both significantly up-regulated in apoptotic HepG2 and HEK293 cells irrespective of the apoptosis inducer. CONCLUSION Our observations clearly indicate the potential of metabolomics in detecting metabolic biomarkers applicable in theranostics and for monitoring drug efficacy.
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Floegel A, von Ruesten A, Drogan D, Schulze MB, Prehn C, Adamski J, Pischon T, Boeing H. Variation of serum metabolites related to habitual diet: a targeted metabolomic approach in EPIC-Potsdam. Eur J Clin Nutr 2013; 67:1100-8. [DOI: 10.1038/ejcn.2013.147] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2013] [Revised: 07/11/2013] [Accepted: 07/12/2013] [Indexed: 12/19/2022]
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Jaremek M, Yu Z, Mangino M, Mittelstrass K, Prehn C, Singmann P, Xu T, Dahmen N, Weinberger KM, Suhre K, Peters A, Döring A, Hauner H, Adamski J, Illig T, Spector TD, Wang-Sattler R. Alcohol-induced metabolomic differences in humans. Transl Psychiatry 2013; 3:e276. [PMID: 23820610 PMCID: PMC3731787 DOI: 10.1038/tp.2013.55] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2012] [Revised: 05/16/2013] [Accepted: 05/25/2013] [Indexed: 12/25/2022] Open
Abstract
Alcohol consumption is one of the world's major risk factors for disease development. But underlying mechanisms by which moderate-to-heavy alcohol intake causes damage are poorly understood and biomarkers are sub-optimal. Here, we investigated metabolite concentration differences in relation to alcohol intake in 2090 individuals of the KORA F4 and replicated results in 261 KORA F3 and up to 629 females of the TwinsUK adult bioresource. Using logistic regression analysis adjusted for age, body mass index, smoking, high-density lipoproteins and triglycerides, we identified 40/18 significant metabolites in males/females with P-values <3.8E-04 (Bonferroni corrected) that differed in concentrations between moderate-to-heavy drinkers (MHD) and light drinkers (LD) in the KORA F4 study. We further identified specific profiles of the 10/5 metabolites in males/females that clearly separated LD from MHD in the KORA F4 cohort. For those metabolites, the respective area under the receiver operating characteristic curves were 0.812/0.679, respectively, thus providing moderate-to-high sensitivity and specificity for the discrimination of LD to MHD. A number of alcohol-related metabolites could be replicated in the KORA F3 and TwinsUK studies. Our data suggests that metabolomic profiles based on diacylphosphatidylcholines, lysophosphatidylcholines, ether lipids and sphingolipids form a new class of biomarkers for excess alcohol intake and have potential for future epidemiological and clinical studies.
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Lin SX, Poirier D, Adamski J. A Challenge for Medicinal Chemistry by the 17β-hydroxysteroid Dehydrogenase Superfamily: An Integrated Biological Function and Inhibition Study. Curr Top Med Chem 2013; 13:1164-71. [DOI: 10.2174/15680266113139990004] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2013] [Revised: 03/08/2013] [Accepted: 04/01/2013] [Indexed: 11/22/2022]
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Borras M, Roig J, Betriu A, Vilar A, Hernandez M, Martin M, Fernandez ED, Dounousi E, Kiatou V, Papagianni A, Zikou X, Pappas K, Pappas E, Tatsioni A, Tsakiris D, Siamopoulos KC, Kim JK, Kim Y, Kim SG, Kim HJ, Ahn SY, Chin HJ, Oh KH, Ahn C, Chae DW, Yazici R, Altintepe L, Bakdik S, Guney I, Arslan S, Topal M, Karagoz A, Stefan G, Mircescu G, Capusa C, Stancu S, Petrescu L, Alecu S, Nedelcu D, Bennett AHL, Pham H, Garrity M, Magdeleyns E, Vermeer C, Zhang M, Ni Z, Zhu M, Yan J, Mou S, Wang Q, Qian J, Saade A, Karavetian M, ElZein H, de Vries N, de Haseth DE, Lay Penne E, van Dam B, Bax WA, Bots ML, Grooteman MPC, van den Dorpel RA, Blankenstijn PJ, Nube MJ, Wee PM, Park JH, Jo YI, Lee JH, Cianfrone P, Comi N, Lucisano G, Piraina V, Talarico R, Fuiano G, Toyonaga M, Fukami K, Yamagishi SI, Kaida Y, Nakayama Y, Ando R, Obara N, Ueda S, Okuda S, Granatova J, Havrda M, Hruskova Z, Tesar V, Viklicky O, Rysava R, Rychlik I, Kratka K, Honsova E, Vernerova Z, Maluskova J, Vranova J, Bolkova M, Borecka K, Benakova H, Zima T, Lu KC, Yang HY, Su SL, Cao YH, Lv LL, Liu BC, Zeng R, Gao XF, Deng YY, Boelaert J, t' Kindt R, Glorieux G, Schepers E, Jorge L, Neirynck N, Lynen F, Sandra P, Sandra K, Vanholder R, Yamamoto T, Nameta M, Yoshida Y, Uhlen M, Shi Y, Tang J, Zhang J, An Y, Liao Y, Li Y, Tao Y, Wang L, Koibuchi K, Tanaka K, Aoki T, Miyagi M, Sakai K, Aikawa A, Martins AR, Branco PQ, Serra FM, Matias PJ, Lucas CP, Adragao T, Duarte J, Oliveira MM, Saraiva AM, Barata JD, Masola V, Zaza G, Granata S, Proglio M, Pontrelli P, Abaterusso C, Schena F, Gesualdo L, Gambaro G, Lupo A, Pruijm M, Hofmann L, Stuber M, Zweiacker C, Piskunowicz M, Muller ME, Vogt B, Burnier M, Togashi N, Yamashita T, Mita T, Ohnuma Y, Hasegawa T, Endo T, Tsuchida A, Ando T, Yoshida H, Miura T, Bevins A, Assi L, Ritchie J, Jesky M, Stringer S, Kalra P, Hutchison C, Harding S, Cockwell P, Viccica G, Cupisti A, Chiavistelli S, Borsari S, Pardi E, Centoni R, Fumagalli G, Cetani F, Marcocci C, Scully P, O'Flaherty D, Sankaralingam A, Hampson G, Goldsmith DJ, Pallet N, Chauvet S, Beaune P, Nochy D, Thervet E, Karras A, Bertho G, Gallyamov MG, Saginova EA, Severova MM, Krasnova TN, Kopylova AA, Cho E, Jo SK, Kim MG, Cho WY, kim HK, Trivin C, Metzger M, Boffa JJ, Vrtovsnik F, Houiller P, Haymann JP, Flamant M, Stengel B, Thervet E, Roozbeh J, Yavari V, Pakfetrat M, Zolghadr AA, Kim CS, Kim MJ, Kang YU, Choi JS, Bae EH, Ma SK, Kim SW, Lemoine S, Guebre-Egziabher F, Dubourg L, Hadj-Aissa A, Blumberg S, Katzir Z, Biro A, Cernes R, Barnea Z, Vasquez D, Gordillo R, Aller C, Fernandez B, Jabary N, Perez V, Mendiluce A, Bustamante J, Coca A, Goek ON, Sekula P, Prehn C, Meisinger C, Gieger C, Suhre K, Adamski J, Kastenmuller G, Kottgen A, Kuzniewski M, Fedak D, Dumnicka P, Solnica B, Kusnierz-Cabala B, Kapusta M, Sulowicz W, Drozdz R, Zawada AM, Rogacev KS, Hummel B, Fliser D, Geisel J, Heine GH, Kretschmer A, Volsek M, Krahn T, Kolkhof P, Kribben A, Bruck H, Koh ES, Chung S, Yoon HE, Park CW, Chang YS, Shin SJ, Deagostini MC, Vigotti FN, Ferraresi M, Consiglio V, Scognamiglio S, Moro I, Clari R, Daidola G, Versino E, Piccoli GB, Mammadrahim Agayev M, Mehrali Mammadova I, Qarib Ismayilova S, Anguiano L, Riera M, Pascual J, Barrios C, Betriu A, Valdivielso JM, Fernandez E, Soler MJ, Tsarpali V, Liakopoulos V, Panagopoulou E, Kapoukranidou D, Spaia S, Kostopoulou M, Michalaki A, Nikitidou O, Dombros N, Zhu F, Abba S, Flores-Gama C, Williams C, Cartagena C, Carter M, Kotanko P, Levin NW, Kolesnyk M, Stepanova N, Driyanska V, Stashevska N, Kundin V, Shifris I, Dudar I, Zaporozhets O, Keda T, Ishchenko M, Khil M, Choe JY, Nam SA, Kim J, Cha JH, Gliga ML, Irimescu CG, Caldararu CD, Gliga MG, Toma LV, Gomotarceanu A, Park Y, Kim Y, Jeon J, Kwon SK, Kim SJ, Kim SM, Kim HY, Montero N, Soler MJ, Barrios C, Marquez E, Berrada A, Arias C, Prada JA, Orfila MA, Mojal S, Vilaplana C, Pascual J, Vigotti FN, Attini R, Parisi S, Fassio F, Deagostini MC, Ghiotto S, Ferraresi M, Clari R, Biolcati M, Todros T, Piccoli GB, Jin K, Vaziri ND, Tramonti G, Romiti N, Chieli E, Maksudova AN, Khusnutdinova LA, Tang J, Shi Y, Zhang J, Li Y, An Y, Tao Y, Wang L, Reque JE, Quiroga B, Lopez JM, Verdallez UG, Garcia de Vinuesa M, Goicoechea M, Nayara PG, Arroyo DR, Luno J, Tanaka H, Flores-Gama C, Abbas SR, Williams C, Cartagena C, Carter M, Thijssen S, Kotanko P, Levin NW, Zhu F, Berthoux FC, Azzouz L, Afiani A, Ziane A, Mariat C, Fournier H, Kusztal M, Dzierzek P, Witkowski G, Nurzynski M, Golebiowski T, Weyde W, Klinger M, Altiparmak MR, Seyahi N, Trabulus S, Bolayirli M, Andican ZG, Suleymanlar G, Serdengecti K, Niculae A, Checherita IA, Neagoe DN, Ciocalteu A, Seiler S, Rogacev KS, Pickering JW, Emrich I, Fliser D, Heine G, Bargnoux AS, Obiols J, Kuster N, Fessler P, Badiou S, Dupuy AM, Ribstein J, Cristol JP, Yanagisawa N, Ando M, Ajisawa A, Tsuchiya K, Nitta K, Bouquegneau A, Cavalier E, Krzesinski JM, Delanaye P, Tominaga N, Shibagaki Y, Kida K, Miyake F, Kimura K, Ayvazyan A, Rameev V, Kozlovskaya L, Simonyan A, Scholze A, Marckmann P, Tepel M, Rasmussen LM, Hara M, Ando M, Tsuchiya K, Nitta K, Kanai H, Harada K, Tamura Y, Kawai Y, Al-Jebouri MM, Madash SA, Leonidovna Berezinets O, Nicolaevich Rossolovskiy A. Lab methods / biomarkers. Nephrol Dial Transplant 2013. [DOI: 10.1093/ndt/gft108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Böhm A, Halama A, Adamski J, Hrabe de Angelis M, Stefan N, Fritsche A, Häring HU, Staiger H. Änderungen im Arachidonsäuremetabolismus in humanen subkutanen Adipozyten von metabolisch malignen versus benignen Adipösen. DIABETOL STOFFWECHS 2013. [DOI: 10.1055/s-0033-1341743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Ried JS, Baurecht H, Stückler F, Krumsiek J, Gieger C, Heinrich J, Kabesch M, Prehn C, Peters A, Rodriguez E, Schulz H, Strauch K, Suhre K, Wang-Sattler R, Wichmann HE, Theis FJ, Illig T, Adamski J, Weidinger S. Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma. Allergy 2013; 68:629-36. [PMID: 23452035 DOI: 10.1111/all.12110] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2012] [Indexed: 11/30/2022]
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified many risk loci for asthma, but effect sizes are small, and in most cases, the biological mechanisms are unclear. Targeted metabolite quantification that provides information about a whole range of pathways of intermediary metabolism can help to identify biomarkers and investigate disease mechanisms. Combining genetic and metabolic information can aid in characterizing genetic association signals with high resolution. This work aimed to investigate the interrelation of current asthma, candidate asthma risk alleles and a panel of metabolites. METHODS We investigated 151 metabolites, quantified by targeted mass spectrometry, in fasting serum of asthmatic and nonasthmatic individuals from the population-based KORA F4 study (N = 2925). In addition, we analysed effects of single-nucleotide polymorphisms (SNPs) at 24 asthma risk loci on these metabolites. RESULTS Increased levels of various phosphatidylcholines and decreased levels of various lyso-phosphatidylcholines were associated with asthma. Likewise, asthma risk alleles from the PDED3 and MED24 genes at the asthma susceptibility locus 17q21 were associated with increased concentrations of various phosphatidylcholines with consistent effect directions. CONCLUSIONS Our study demonstrated the potential of metabolomics to infer asthma-related biomarkers by the identification of potentially deregulated phospholipids that associate with asthma and asthma risk alleles.
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Flexeder C, Karrasch S, Kastenmüller G, Meisinger C, Petersen AP, Prehn C, Wang-Sattler R, Weidinger S, Gieger C, Heinrich J, Holle R, Peters A, Illig T, Adamski J, Suhre K, Schulz H. Are metabolomic markers associated with spirometric lung function indices? Results of the KORAF4 Study. Pneumologie 2013. [DOI: 10.1055/s-0033-1334761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Föcker M, Timmesfeld N, Scherag S, Knoll N, Singmann P, Wang-Sattler R, Bühren K, Schwarte R, Egberts K, Fleischhaker C, Adamski J, Illig T, Suhre K, Albayrak O, Hinney A, Herpertz-Dahlmann B, Hebebrand J. Comparison of metabolic profiles of acutely ill and short-term weight recovered patients with anorexia nervosa reveals alterations of 33 out of 163 metabolites. J Psychiatr Res 2012; 46:1600-9. [PMID: 22981704 DOI: 10.1016/j.jpsychires.2012.08.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Revised: 07/05/2012] [Accepted: 08/14/2012] [Indexed: 12/31/2022]
Abstract
Starvation represents an extreme physiological state and entails numerous endocrine and metabolic adaptations. The large-scale application of metabolomics to patients with acute anorexia nervosa (AN) should lead to the identification of state markers characteristic of starvation in general and of the starvation specifically associated with this eating disorder. Novel metabolomics technology has not yet been applied to this disorder. Using a targeted metabolomics approach, we analysed 163 metabolite concentrations in 29 patients with AN in the acute stage of starvation (T0) and after short-term weight recovery (T1). Of the 163 metabolites of the respective kit, 112 metabolites were quantified within restrictive quality control limits. We hypothesized that concentrations are different in patients in the acute stage of starvation (T0) and after weight gain (T1). Furthermore, we compared all 112 metabolite concentrations of patients at the two time points (T0, T1) with those of 16 age and gender matched healthy controls. Thirty-three of the metabolite serum levels were found significantly different between T0 and T1. At the acute stage of starvation (T0) serum concentrations of 90 metabolites differed significantly from those of healthy controls. Concentrations of controls mostly differed even more strongly from those of AN patients after short-term weight recovery than at the acute stage of starvation. We conclude that AN entails profound and longer lasting alterations of a large number of serum metabolites. Further studies are warranted to distinguish between state and trait related alterations and to establish diagnostic sensitivity and specificity of the thus altered metabolites.
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He Y, Yu Z, Giegling I, Xie L, Hartmann AM, Prehn C, Adamski J, Kahn R, Li Y, Illig T, Wang-Sattler R, Rujescu D. Schizophrenia shows a unique metabolomics signature in plasma. Transl Psychiatry 2012; 2:e149. [PMID: 22892715 PMCID: PMC3432190 DOI: 10.1038/tp.2012.76] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2012] [Revised: 07/07/2012] [Accepted: 07/07/2012] [Indexed: 01/03/2023] Open
Abstract
Schizophrenia is a severe complex mental disorder affecting 0.5-1% of the world population. To date, diagnosis of the disease is mainly based on personal and thus subjective interviews. The underlying molecular mechanism of schizophrenia is poorly understood. Using targeted metabolomics we quantified and compared 103 metabolites in plasma samples from 216 healthy controls and 265 schizophrenic patients, including 52 cases that do not take antipsychotic medication. Compared with healthy controls, levels of five metabolites were found significantly altered in schizophrenic patients (P-values ranged from 2.9 × 10(-8) to 2.5 × 10(-4)) and in neuroleptics-free probands (P-values ranging between 0.006 and 0.03), respectively. These metabolites include four amino acids (arginine, glutamine, histidine and ornithine) and one lipid (PC ae C38:6) and are suggested as candidate biomarkers for schizophrenia. To explore the genetic susceptibility on the associated metabolic pathways, we constructed a molecular network connecting these five aberrant metabolites with 13 schizophrenia risk genes. Our result implicated aberrations in biosynthetic pathways linked to glutamine and arginine metabolism and associated signaling pathways as genetic risk factors, which may contribute to patho-mechanisms and memory deficits associated with schizophrenia. This study illustrated that the metabolic deviations detected in plasma may serve as potential biomarkers to aid diagnosis of schizophrenia.
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Vouk K, Hevir N, Ribić-Pucelj M, Haarpaintner G, Scherb H, Osredkar J, Möller G, Prehn C, Rižner TL, Adamski J. Discovery of phosphatidylcholines and sphingomyelins as biomarkers for ovarian endometriosis. Hum Reprod 2012; 27:2955-65. [PMID: 22859507 DOI: 10.1093/humrep/des152] [Citation(s) in RCA: 89] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Current non-invasive diagnostic methods for endometriosis lack sensitivity and specificity. In search for new diagnostic biomarkers for ovarian endometriosis, we used a hypothesis-generating targeted metabolomics approach. METHODS In a case-control study, we collected plasma of study participants and analysed their metabolic profiles. We selected a group of 40 patients with ovarian endometriosis who underwent laparoscopic surgery and a control group of 52 healthy women who underwent sterilization at the University Clinical Centre Ljubljana, Slovenia. Over 140 targeted analytes included glycerophospholipids, sphingolipids and acylcarnitines. The analytes were quantified by electrospray ionization tandem mass spectrometry. For assessing the strength of association between the metabolite or metabolite ratios and the disease, we used crude and adjusted odds ratios. A stepwise logistic regression procedure was used for selecting the best combination of biomarkers. RESULTS Eight lipid metabolites were identified as endometriosis-associated biomarkers due to elevated levels in patients compared with controls. A model containing hydroxysphingomyelin SMOH C16:1 and the ratio between phosphatidylcholine PCaa C36:2 to ether-phospholipid PCae C34:2, adjusted for the effect of age and the BMI, resulted in a sensitivity of 90.0%, a specificity of 84.3% and a ratio of the positive likelihood ratio to the negative likelihood ratio of 48.3. CONCLUSIONS Our results suggest that endometriosis is associated with elevated levels of sphingomyelins and phosphatidylcholines, which might contribute to the suppression of apoptosis and affect lipid-associated signalling pathways. Our findings suggest novel potential routes for therapy by specifically blocking highly up-regulated isoforms of phosphpolipase A2 and lysophosphatidylcholine acyltransferase 4.
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Levin A, Levin A, Rigatto C, Barrett B, Madore F, Muirhead N, Holmes D, Clase C, Tang M, Djurdjev O, Investigators OBOTC, Goek ON, Doring A, Gieger C, Heier M, Koenig W, Prehn C, Romisch-Margl W, Wang-Sattler R, Illig T, Suhre K, Sekula P, Adamski J, Kottgen A, Meisinger C, Smith E, Ford M, Tomlinson L, Mcmahon L, Rajkumar C, Holt S, Hoogeveen E, Gemen E, Geleijnse M, Kusters R, Kromhout D, Giltay E, Peeters M, Van Zuilen A, Van den Brand A, Bots M, Blankestijn PJ, Wetzels J. Clinical studies in CKD. Nephrol Dial Transplant 2012. [DOI: 10.1093/ndt/gfs206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Brackertz B, Conrad H, Daniel J, Kast B, Krönig H, Busch DH, Adamski J, Peschel C, Bernhard H. FLT3-regulated antigens as targets for leukemia-reactive cytotoxic T lymphocytes. Blood Cancer J 2011; 1:e11. [PMID: 22829124 PMCID: PMC3255276 DOI: 10.1038/bcj.2011.12] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2010] [Revised: 01/27/2011] [Accepted: 02/11/2011] [Indexed: 12/16/2022] Open
Abstract
The FMS-like tyrosine kinase 3 (FLT3) is highly expressed in acute myeloid leukemia (AML). Internal tandem duplications (ITD) of the juxtamembrane domain lead to the constitutive activation of the FLT3 kinase inducing the activation of multiple genes, which may result in the expression of leukemia-associated antigens (LAAs). We analyzed the regulation of LAA in FLT3-wild-type (WT)- and FLT3-ITD+ myeloid cells to identify potential targets for antigen-specific immunotherapy for AML patients. Antigens, such as PR-3, RHAMM, Survivin, WT-1 and PRAME, were upregulated by constitutively active FLT3-ITD as well as FLT3-WT activated by FLT3 ligand (FL). Cytotoxic T-cell (CTL) clones against PR-3, RHAMM, Survivin and an AML-directed CTL clone recognized AML cell lines and primary AML blasts expressing FLT3-ITD, as well as FLT3-WT+ myeloid dendritic cells in the presence of FL. Downregulation of FLT3 led to the abolishment of CTL recognition. Comparing our findings concerning LAA upregulation by the FLT3 kinase with those already made for the Bcr-Abl kinase, we found analogies in the LAA expression pattern. Antigens upregulated by both FLT3 and Bcr-Abl may be promising targets for the development of immunotherapeutical approaches against myeloid leukemia of different origin.
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Brandl M, Seidler B, Haller F, Adamski J, Schmid RM, Saur D, Schneider G. IKKα controls canonical TGFβ-SMAD signaling to regulate genes expressing SNAIL and SLUG during EMT in Panc1 cells. Development 2011. [DOI: 10.1242/dev.062646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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O'Connor J, Adamski J. The Diagnosis and Treatment of Non-Cardiac Thoracic Trauma. J ROY ARMY MED CORPS 2010; 156:5-14. [DOI: 10.1136/jramc-156-01-02] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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