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Items: 1 to 50 of 67

1.

Metabolomics reveals a link between homocysteine and lipid metabolism and leukocyte telomere length: the ENGAGE consortium.

van der Spek A, Broer L, Draisma HHM, Pool R, Albrecht E, Beekman M, Mangino M, Raag M, Nyholt DR, Dharuri HK, Codd V, Amin N, de Geus EJC, Deelen J, Demirkan A, Yet I, Fischer K, Haller T, Henders AK, Isaacs A, Medland SE, Montgomery GW, Mooijaart SP, Strauch K, Suchiman HED, Vaarhorst AAM, van Heemst D, Wang-Sattler R, Whitfield JB, Willemsen G, Wright MJ, Martin NG, Samani NJ, Metspalu A, Eline Slagboom P, Spector TD, Boomsma DI, van Duijn CM, Gieger C.

Sci Rep. 2019 Aug 12;9(1):11623. doi: 10.1038/s41598-019-47282-6.

2.

Ageing Investigation Using Two-Time-Point Metabolomics Data from KORA and CARLA Studies.

Chak CM, Lacruz ME, Adam J, Brandmaier S, Covic M, Huang J, Meisinger C, Tiller D, Prehn C, Adamski J, Berger U, Gieger C, Peters A, Kluttig A, Wang-Sattler R.

Metabolites. 2019 Mar 5;9(3). pii: E44. doi: 10.3390/metabo9030044.

3.

Differences in twenty-four-hour profiles of blue-light exposure between day and night shifts in female medical staff.

Rabstein S, Burek K, Lehnert M, Beine A, Vetter C, Harth V, Putzke S, Kantermann T, Walther J, Wang-Sattler R, Pallapies D, Brüning T, Behrens T.

Sci Total Environ. 2019 Feb 25;653:1025-1033. doi: 10.1016/j.scitotenv.2018.10.293. Epub 2018 Oct 30.

PMID:
30759543
4.

A network-based conditional genetic association analysis of the human metabolome.

Tsepilov YA, Sharapov SZ, Zaytseva OO, Krumsek J, Prehn C, Adamski J, Kastenmüller G, Wang-Sattler R, Strauch K, Gieger C, Aulchenko YS.

Gigascience. 2018 Dec 1;7(12). doi: 10.1093/gigascience/giy137.

5.

Dilution correction for dynamically influenced urinary analyte data.

Hertel J, Rotter M, Frenzel S, Zacharias HU, Krumsiek J, Rathkolb B, Hrabe de Angelis M, Rabstein S, Pallapies D, Brüning T, Grabe HJ, Wang-Sattler R.

Anal Chim Acta. 2018 Nov 22;1032:18-31. doi: 10.1016/j.aca.2018.07.068. Epub 2018 Jul 28.

PMID:
30143216
6.

Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype.

Rotter M, Brandmaier S, Covic M, Burek K, Hertel J, Troll M, Bader E, Adam J, Prehn C, Rathkolb B, Hrabe de Angelis M, Grabe HJ, Daniel H, Kantermann T, Harth V, Illig T, Pallapies D, Behrens T, Brüning T, Adamski J, Lickert H, Rabstein S, Wang-Sattler R.

Metabolites. 2018 Aug 21;8(3). pii: E45. doi: 10.3390/metabo8030045.

7.

Ldlr-/- and ApoE-/- mice better mimic the human metabolite signature of increased carotid intima media thickness compared to other animal models of cardiovascular disease.

Saulnier-Blache JS, Wilson R, Klavins K, Graham D, Alesutan I, Kastenmüller G, Wang-Sattler R, Adamski J, Roden M, Rathmann W, Seissler J, Meisinger C, Koenig W, Thiery J, Suhre K, Peters A, Kuro-O M, Lang F, Dallmann G, Delles C, Voelkl J, Waldenberger M, Bascands JL, Klein J, Schanstra JP.

Atherosclerosis. 2018 Sep;276:140-147. doi: 10.1016/j.atherosclerosis.2018.07.024. Epub 2018 Jul 21.

PMID:
30059845
8.

pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms.

Molnos S, Baumbach C, Wahl S, Müller-Nurasyid M, Strauch K, Wang-Sattler R, Waldenberger M, Meitinger T, Adamski J, Kastenmüller G, Suhre K, Peters A, Grallert H, Theis FJ, Gieger C.

BMC Bioinformatics. 2017 Sep 29;18(1):429. doi: 10.1186/s12859-017-1838-y.

9.

Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study.

Molnos S, Wahl S, Haid M, Eekhoff EMW, Pool R, Floegel A, Deelen J, Much D, Prehn C, Breier M, Draisma HH, van Leeuwen N, Simonis-Bik AMC, Jonsson A, Willemsen G, Bernigau W, Wang-Sattler R, Suhre K, Peters A, Thorand B, Herder C, Rathmann W, Roden M, Gieger C, Kramer MHH, van Heemst D, Pedersen HK, Gudmundsdottir V, Schulze MB, Pischon T, de Geus EJC, Boeing H, Boomsma DI, Ziegler AG, Slagboom PE, Hummel S, Beekman M, Grallert H, Brunak S, McCarthy MI, Gupta R, Pearson ER, Adamski J, 't Hart LM.

Diabetologia. 2018 Jan;61(1):117-129. doi: 10.1007/s00125-017-4436-7. Epub 2017 Oct 25.

10.

Correction: Effect of Insulin Resistance on Monounsaturated Fatty Acid Levels: A Multi-cohort Non-targeted Metabolomics and Mendelian Randomization Study.

Nowak C, Salihovic S, Ganna A, Brandmaier S, Tukiainen T, Broeckling CD, Magnusson PK, Prenni JE, Wang-Sattler R, Peters A, Strauch K, Meitinger T, Giedraitis V, Ärnlöv J, Berne C, Gieger C, Ripatti S, Lind L, Pedersen NL, Sundström J, Ingelsson E, Fall T.

PLoS Genet. 2017 Sep 14;13(9):e1007002. doi: 10.1371/journal.pgen.1007002. eCollection 2017 Sep.

11.

Plasma and Serum Metabolite Association Networks: Comparability within and between Studies Using NMR and MS Profiling.

Suarez-Diez M, Adam J, Adamski J, Chasapi SA, Luchinat C, Peters A, Prehn C, Santucci C, Spyridonidis A, Spyroulias GA, Tenori L, Wang-Sattler R, Saccenti E.

J Proteome Res. 2017 Jul 7;16(7):2547-2559. doi: 10.1021/acs.jproteome.7b00106. Epub 2017 May 26.

12.

Response to Comment on Adam et al. Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues. Diabetes 2016;65:3776-3785.

Adam J, Brandmaier S, Troll M, Rotter M, Mohney RP, Heier M, Adamski J, Li Y, Neschen S, Kastenmüller G, Suhre K, Ankerst D, Meitinger T, Wang-Sattler R.

Diabetes. 2017 May;66(5):e3-e4. doi: 10.2337/dbi17-0010. No abstract available.

13.

Metabolomic Signature of Coronary Artery Disease in Type 2 Diabetes Mellitus.

Stratmann B, Richter K, Wang R, Yu Z, Xu T, Prehn C, Adamski J, Illig T, Tschoepe D, Wang-Sattler R.

Int J Endocrinol. 2017;2017:7938216. doi: 10.1155/2017/7938216. Epub 2017 Mar 2.

14.

Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers.

Ward-Caviness CK, Xu T, Aspelund T, Thorand B, Montrone C, Meisinger C, Dunger-Kaltenbach I, Zierer A, Yu Z, Helgadottir IR, Harris TB, Launer LJ, Ganna A, Lind L, Eiriksdottir G, Waldenberger M, Prehn C, Suhre K, Illig T, Adamski J, Ruepp A, Koenig W, Gudnason V, Emilsson V, Wang-Sattler R, Peters A.

Heart. 2017 Aug;103(16):1278-1285. doi: 10.1136/heartjnl-2016-310789. Epub 2017 Mar 2.

15.

Association of Atopic Dermatitis with Cardiovascular Risk Factors and Diseases.

Standl M, Tesch F, Baurecht H, Rodríguez E, Müller-Nurasyid M, Gieger C, Peters A, Wang-Sattler R, Prehn C, Adamski J, Kronenberg F, Schulz H, Koletzko S, Schikowski T, von Berg A, Lehmann I, Berdel D, Heinrich J, Schmitt J, Weidinger S.

J Invest Dermatol. 2017 May;137(5):1074-1081. doi: 10.1016/j.jid.2016.11.031. Epub 2016 Dec 21.

16.

Stability of targeted metabolite profiles of urine samples under different storage conditions.

Rotter M, Brandmaier S, Prehn C, Adam J, Rabstein S, Gawrych K, Brüning T, Illig T, Lickert H, Adamski J, Wang-Sattler R.

Metabolomics. 2017;13(1):4. Epub 2016 Nov 28.

17.

Short-term NO2 exposure is associated with long-chain fatty acids in prospective cohorts from Augsburg, Germany: results from an analysis of 138 metabolites and three exposures.

Ward-Caviness CK, Breitner S, Wolf K, Cyrys J, Kastenmüller G, Wang-Sattler R, Schneider A, Peters A.

Int J Epidemiol. 2016 Oct;45(5):1528-1538. Epub 2016 Oct 8.

PMID:
27892410
18.

12-months metabolic changes among gender dysphoric individuals under cross-sex hormone treatment: a targeted metabolomics study.

Auer MK, Cecil A, Roepke Y, Bultynck C, Pas C, Fuss J, Prehn C, Wang-Sattler R, Adamski J, Stalla GK, T'Sjoen G.

Sci Rep. 2016 Nov 11;6:37005. doi: 10.1038/srep37005.

19.

Effect of Insulin Resistance on Monounsaturated Fatty Acid Levels: A Multi-cohort Non-targeted Metabolomics and Mendelian Randomization Study.

Nowak C, Salihovic S, Ganna A, Brandmaier S, Tukiainen T, Broeckling CD, Magnusson PK, Prenni JE, Wang-Sattler R, Peters A, Strauch K, Meitinger T, Giedraitis V, Ärnlöv J, Berne C, Gieger C, Ripatti S, Lind L, Pedersen NL, Sundström J, Ingelsson E, Fall T.

PLoS Genet. 2016 Oct 21;12(10):e1006379. doi: 10.1371/journal.pgen.1006379. eCollection 2016 Oct. Erratum in: PLoS Genet. 2017 Sep 14;13(9):e1007002.

20.

Epigenetic Signatures of Cigarette Smoking.

Joehanes R, Just AC, Marioni RE, Pilling LC, Reynolds LM, Mandaviya PR, Guan W, Xu T, Elks CE, Aslibekyan S, Moreno-Macias H, Smith JA, Brody JA, Dhingra R, Yousefi P, Pankow JS, Kunze S, Shah SH, McRae AF, Lohman K, Sha J, Absher DM, Ferrucci L, Zhao W, Demerath EW, Bressler J, Grove ML, Huan T, Liu C, Mendelson MM, Yao C, Kiel DP, Peters A, Wang-Sattler R, Visscher PM, Wray NR, Starr JM, Ding J, Rodriguez CJ, Wareham NJ, Irvin MR, Zhi D, Barrdahl M, Vineis P, Ambatipudi S, Uitterlinden AG, Hofman A, Schwartz J, Colicino E, Hou L, Vokonas PS, Hernandez DG, Singleton AB, Bandinelli S, Turner ST, Ware EB, Smith AK, Klengel T, Binder EB, Psaty BM, Taylor KD, Gharib SA, Swenson BR, Liang L, DeMeo DL, O'Connor GT, Herceg Z, Ressler KJ, Conneely KN, Sotoodehnia N, Kardia SL, Melzer D, Baccarelli AA, van Meurs JB, Romieu I, Arnett DK, Ong KK, Liu Y, Waldenberger M, Deary IJ, Fornage M, Levy D, London SJ.

Circ Cardiovasc Genet. 2016 Oct;9(5):436-447. Epub 2016 Sep 20.

21.

Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues.

Adam J, Brandmaier S, Leonhardt J, Scheerer MF, Mohney RP, Xu T, Bi J, Rotter M, Troll M, Chi S, Heier M, Herder C, Rathmann W, Giani G, Adamski J, Illig T, Strauch K, Li Y, Gieger C, Peters A, Suhre K, Ankerst D, Meitinger T, Hrabĕ de Angelis M, Roden M, Neschen S, Kastenmüller G, Wang-Sattler R.

Diabetes. 2016 Dec;65(12):3776-3785. Epub 2016 Sep 12.

22.

Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis.

Dietrich S, Floegel A, Troll M, Kühn T, Rathmann W, Peters A, Sookthai D, von Bergen M, Kaaks R, Adamski J, Prehn C, Boeing H, Schulze MB, Illig T, Pischon T, Knüppel S, Wang-Sattler R, Drogan D.

Int J Epidemiol. 2016 Oct;45(5):1406-1420. Epub 2016 Sep 1.

PMID:
27591264
23.

Non-targeted metabolomics combined with genetic analyses identifies bile acid synthesis and phospholipid metabolism as being associated with incident type 2 diabetes.

Fall T, Salihovic S, Brandmaier S, Nowak C, Ganna A, Gustafsson S, Broeckling CD, Prenni JE, Kastenmüller G, Peters A, Magnusson PK, Wang-Sattler R, Giedraitis V, Berne C, Gieger C, Pedersen NL, Ingelsson E, Lind L.

Diabetologia. 2016 Oct;59(10):2114-24. doi: 10.1007/s00125-016-4041-1. Epub 2016 Jul 12.

24.

Identification of proliferative and mature β-cells in the islets of Langerhans.

Bader E, Migliorini A, Gegg M, Moruzzi N, Gerdes J, Roscioni SS, Bakhti M, Brandl E, Irmler M, Beckers J, Aichler M, Feuchtinger A, Leitzinger C, Zischka H, Wang-Sattler R, Jastroch M, Tschöp M, Machicao F, Staiger H, Häring HU, Chmelova H, Chouinard JA, Oskolkov N, Korsgren O, Speier S, Lickert H.

Nature. 2016 Jul 21;535(7612):430-4. Epub 2016 Jul 11.

PMID:
27398620
25.

Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.

Merz B, Nöthlings U, Wahl S, Haftenberger M, Schienkiewitz A, Adamski J, Suhre K, Wang-Sattler R, Grallert H, Thorand B, Pischon T, Bachlechner U, Floegel A, Peters A, Boeing H.

PLoS One. 2016 Jun 20;11(6):e0157733. doi: 10.1371/journal.pone.0157733. eCollection 2016.

26.

Response to Comment on Xu et al. Effects of Metformin on Metabolite Profiles and LDL Cholesterol in Patients With Type 2 Diabetes. Diabetes Care 2015;38:1858-1867.

Brandmaier S, Xu T, Illig T, Suhre K, Adamski J, Wang-Sattler R.

Diabetes Care. 2015 Dec;38(12):e216-7. doi: 10.2337/dci15-0022. No abstract available.

PMID:
26604292
27.

Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2 diabetes.

Xu T, Brandmaier S, Messias AC, Herder C, Draisma HH, Demirkan A, Yu Z, Ried JS, Haller T, Heier M, Campillos M, Fobo G, Stark R, Holzapfel C, Adam J, Chi S, Rotter M, Panni T, Quante AS, He Y, Prehn C, Roemisch-Margl W, Kastenmüller G, Willemsen G, Pool R, Kasa K, van Dijk KW, Hankemeier T, Meisinger C, Thorand B, Ruepp A, Hrabé de Angelis M, Li Y, Wichmann HE, Stratmann B, Strauch K, Metspalu A, Gieger C, Suhre K, Adamski J, Illig T, Rathmann W, Roden M, Peters A, van Duijn CM, Boomsma DI, Meitinger T, Wang-Sattler R.

Diabetes Care. 2015 Oct;38(10):1858-67. doi: 10.2337/dc15-0658. Epub 2015 Aug 5.

PMID:
26251408
28.

Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioate.

Menni C, Graham D, Kastenmüller G, Alharbi NH, Alsanosi SM, McBride M, Mangino M, Titcombe P, Shin SY, Psatha M, Geisendorfer T, Huber A, Peters A, Wang-Sattler R, Xu T, Brosnan MJ, Trimmer J, Reichel C, Mohney RP, Soranzo N, Edwards MH, Cooper C, Church AC, Suhre K, Gieger C, Dominiczak AF, Spector TD, Padmanabhan S, Valdes AM.

Hypertension. 2015 Aug;66(2):422-9. doi: 10.1161/HYPERTENSIONAHA.115.05544. Epub 2015 Jun 1.

29.

Nonadditive Effects of Genes in Human Metabolomics.

Tsepilov YA, Shin SY, Soranzo N, Spector TD, Prehn C, Adamski J, Kastenmüller G, Wang-Sattler R, Strauch K, Gieger C, Aulchenko YS, Ried JS.

Genetics. 2015 Jul;200(3):707-18. doi: 10.1534/genetics.115.175760. Epub 2015 May 14.

30.

Pre-analytical sample quality: metabolite ratios as an intrinsic marker for prolonged room temperature exposure of serum samples.

Anton G, Wilson R, Yu ZH, Prehn C, Zukunft S, Adamski J, Heier M, Meisinger C, Römisch-Margl W, Wang-Sattler R, Hveem K, Wolfenbuttel B, Peters A, Kastenmüller G, Waldenberger M.

PLoS One. 2015 Mar 30;10(3):e0121495. doi: 10.1371/journal.pone.0121495. eCollection 2015.

31.

PLA1A2 platelet polymorphism predicts mortality in prediabetic subjects of the population based KORA S4-Cohort.

Stratmann B, Xu T, Meisinger C, Menart B, Roden M, Herder C, Grallert H, Peters A, Koenig W, Illig T, Wichmann HE, Wang-Sattler R, Rathmann W, Tschoepe D.

Cardiovasc Diabetol. 2014 May 5;13:90. doi: 10.1186/1475-2840-13-90.

32.

Changes in metabolite profiles caused by genetically determined obesity in mice.

Schäfer N, Yu Z, Wagener A, Millrose MK, Reissmann M, Bortfeldt R, Dieterich C, Adamski J, Wang-Sattler R, Illig T, Brockmann GA.

Metabolomics. 2014;10(3):461-472. doi: 10.1007/s11306-013-0590-1. Epub 2013 Oct 19.

33.

Changes in the serum metabolite profile in obese children with weight loss.

Reinehr T, Wolters B, Knop C, Lass N, Hellmuth C, Harder U, Peissner W, Wahl S, Grallert H, Adamski J, Illig T, Prehn C, Yu Z, Wang-Sattler R, Koletzko B.

Eur J Nutr. 2015 Mar;54(2):173-81. doi: 10.1007/s00394-014-0698-8. Epub 2014 Apr 17.

PMID:
24740590
34.

Mapping the genetic architecture of gene regulation in whole blood.

Schramm K, Marzi C, Schurmann C, Carstensen M, Reinmaa E, Biffar R, Eckstein G, Gieger C, Grabe HJ, Homuth G, Kastenmüller G, Mägi R, Metspalu A, Mihailov E, Peters A, Petersmann A, Roden M, Strauch K, Suhre K, Teumer A, Völker U, Völzke H, Wang-Sattler R, Waldenberger M, Meitinger T, Illig T, Herder C, Grallert H, Prokisch H.

PLoS One. 2014 Apr 16;9(4):e93844. doi: 10.1371/journal.pone.0093844. eCollection 2014.

35.

Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up.

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.

J Endocrinol Invest. 2014 Apr;37(4):369-74. doi: 10.1007/s40618-013-0044-7. Epub 2014 Jan 9.

36.

Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipids.

Shin SY, Petersen AK, Wahl S, Zhai G, Römisch-Margl W, Small KS, Döring A, Kato BS, Peters A, Grundberg E, Prehn C, Wang-Sattler R, Wichmann HE, de Angelis MH, Illig T, Adamski J, Deloukas P, Spector TD, Suhre K, Gieger C, Soranzo N.

Genome Med. 2014 Mar 28;6(3):25. doi: 10.1186/gm542. eCollection 2014.

37.

Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles.

Dharuri H, Henneman P, Demirkan A, van Klinken JB, Mook-Kanamori DO, Wang-Sattler R, Gieger C, Adamski J, Hettne K, Roos M, Suhre K, Van Duijn CM; EUROSPAN Consortia, van Dijk KW, 't Hoen PA.

BMC Genomics. 2013 Dec 9;14:865. doi: 10.1186/1471-2164-14-865.

38.

Diagnosing fatty liver disease: a comparative evaluation of metabolic markers, phenotypes, genotypes and established biomarkers.

Siegert S, Yu Z, Wang-Sattler R, Illig T, Adamski J, Hampe J, Nikolaus S, Schreiber S, Krawczak M, Nothnagel M, Nöthlings U.

PLoS One. 2013 Oct 9;8(10):e76813. doi: 10.1371/journal.pone.0076813. eCollection 2013.

39.

Alcohol-induced metabolomic differences in humans.

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.

Transl Psychiatry. 2013 Jul 2;3:e276. doi: 10.1038/tp.2013.55.

40.

Metabolites associate with kidney function decline and incident chronic kidney disease in the general population.

Goek ON, Prehn C, Sekula P, Römisch-Margl W, Döring A, Gieger C, Heier M, Koenig W, Wang-Sattler R, Illig T, Suhre K, Adamski J, Köttgen A, Meisinger C.

Nephrol Dial Transplant. 2013 Aug;28(8):2131-8. doi: 10.1093/ndt/gft217. Epub 2013 Jun 5.

PMID:
23739151
41.

Effects of smoking and smoking cessation on human serum metabolite profile: results from the KORA cohort study.

Xu T, Holzapfel C, Dong X, Bader E, Yu Z, Prehn C, Perstorfer K, Jaremek M, Roemisch-Margl W, Rathmann W, Li Y, Wichmann HE, Wallaschofski H, Ladwig KH, Theis F, Suhre K, Adamski J, Illig T, Peters A, Wang-Sattler R.

BMC Med. 2013 Mar 4;11:60. doi: 10.1186/1741-7015-11-60.

42.

Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma.

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.

Allergy. 2013;68(5):629-36. doi: 10.1111/all.12110. Epub 2013 Mar 1.

PMID:
23452035
43.

Childhood obesity is associated with changes in the serum metabolite profile.

Wahl S, Yu Z, Kleber M, Singmann P, Holzapfel C, He Y, Mittelstrass K, Polonikov A, Prehn C, Römisch-Margl W, Adamski J, Suhre K, Grallert H, Illig T, Wang-Sattler R, Reinehr T.

Obes Facts. 2012;5(5):660-70. doi: 10.1159/000343204. Epub 2012 Oct 4.

44.

Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach.

Floegel A, Stefan N, Yu Z, Mühlenbruch K, Drogan D, Joost HG, Fritsche A, Häring HU, Hrabě de Angelis M, Peters A, Roden M, Prehn C, Wang-Sattler R, Illig T, Schulze MB, Adamski J, Boeing H, Pischon T.

Diabetes. 2013 Feb;62(2):639-48. doi: 10.2337/db12-0495. Epub 2012 Oct 4.

45.

Novel biomarkers for pre-diabetes identified by metabolomics.

Wang-Sattler R, Yu Z, Herder C, Messias AC, Floegel A, He Y, Heim K, Campillos M, Holzapfel C, Thorand B, Grallert H, Xu T, Bader E, Huth C, Mittelstrass K, Döring A, Meisinger C, Gieger C, Prehn C, Roemisch-Margl W, Carstensen M, Xie L, Yamanaka-Okumura H, Xing G, Ceglarek U, Thiery J, Giani G, Lickert H, Lin X, Li Y, Boeing H, Joost HG, de Angelis MH, Rathmann W, Suhre K, Prokisch H, Peters A, Meitinger T, Roden M, Wichmann HE, Pischon T, Adamski J, Illig T.

Mol Syst Biol. 2012;8:615. doi: 10.1038/msb.2012.43.

46.

Silencing of genes and alleles by RNAi in Anopheles gambiae.

Lamacchia M, Clayton JR, Wang-Sattler R, Steinmetz LM, Levashina EA, Blandin SA.

Methods Mol Biol. 2013;923:161-76.

PMID:
22990777
47.

Comparison of metabolic profiles of acutely ill and short-term weight recovered patients with anorexia nervosa reveals alterations of 33 out of 163 metabolites.

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.

J Psychiatr Res. 2012 Dec;46(12):1600-9. doi: 10.1016/j.jpsychires.2012.08.015. Epub 2012 Sep 12.

PMID:
22981704
48.

Preservation of metabolic flexibility in skeletal muscle by a combined use of n-3 PUFA and rosiglitazone in dietary obese mice.

Horakova O, Medrikova D, van Schothorst EM, Bunschoten A, Flachs P, Kus V, Kuda O, Bardova K, Janovska P, Hensler M, Rossmeisl M, Wang-Sattler R, Prehn C, Adamski J, Illig T, Keijer J, Kopecky J.

PLoS One. 2012;7(8):e43764. doi: 10.1371/journal.pone.0043764. Epub 2012 Aug 31.

49.

Schizophrenia shows a unique metabolomics signature in plasma.

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.

Transl Psychiatry. 2012 Aug 14;2:e149. doi: 10.1038/tp.2012.76.

50.

Human serum metabolic profiles are age dependent.

Yu Z, Zhai G, Singmann P, He Y, Xu T, Prehn C, Römisch-Margl W, Lattka E, Gieger C, Soranzo N, Heinrich J, Standl M, Thiering E, Mittelstraß K, Wichmann HE, Peters A, Suhre K, Li Y, Adamski J, Spector TD, Illig T, Wang-Sattler R.

Aging Cell. 2012 Dec;11(6):960-7. doi: 10.1111/j.1474-9726.2012.00865.x. Epub 2012 Aug 27.

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