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Items: 1 to 50 of 79

1.

Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.

Chu SH, Huang M, Kelly RS, Benedetti E, Siddiqui JK, Zeleznik OA, Pereira A, Herrington D, Wheelock CE, Krumsiek J, McGeachie M, Moore SC, Kraft P, Mathé E, Lasky-Su J; Consortium of Metabolomics Studies Statistics Working Group.

Metabolites. 2019 Jun 18;9(6). pii: E117. doi: 10.3390/metabo9060117. Review.

2.

Characterization of Bulk Phosphatidylcholine Compositions in Human Plasma Using Side-Chain Resolving Lipidomics.

Quell JD, Römisch-Margl W, Haid M, Krumsiek J, Skurk T, Halama A, Stephan N, Adamski J, Hauner H, Mook-Kanamori D, Mohney RP, Daniel H, Suhre K, Kastenmüller G.

Metabolites. 2019 Jun 8;9(6). pii: E109. doi: 10.3390/metabo9060109.

3.

Dynamic modelling of an ACADS genotype in fatty acid oxidation - Application of cellular models for the analysis of common genetic variants.

Matejka K, Stückler F, Salomon M, Ensenauer R, Reischl E, Hoerburger L, Grallert H, Kastenmüller G, Peters A, Daniel H, Krumsiek J, Theis FJ, Hauner H, Laumen H.

PLoS One. 2019 May 23;14(5):e0216110. doi: 10.1371/journal.pone.0216110. eCollection 2019.

4.

Common patterns of gene regulation associated with Cesarean section and the development of islet autoimmunity - indications of immune cell activation.

Laimighofer M, Lickert R, Fuerst R, Theis FJ, Winkler C, Bonifacio E, Ziegler AG, Krumsiek J.

Sci Rep. 2019 Apr 18;9(1):6250. doi: 10.1038/s41598-019-42750-5.

5.

Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies.

Do KT, Wahl S, Raffler J, Molnos S, Laimighofer M, Adamski J, Suhre K, Strauch K, Peters A, Gieger C, Langenberg C, Stewart ID, Theis FJ, Grallert H, Kastenmüller G, Krumsiek J.

Metabolomics. 2018 Sep 20;14(10):128. doi: 10.1007/s11306-018-1420-2.

6.

A Novel Metabolic Signature To Predict the Requirement of Dialysis or Renal Transplantation in Patients with Chronic Kidney Disease.

Zacharias HU, Altenbuchinger M, Schultheiss UT, Samol C, Kotsis F, Poguntke I, Sekula P, Krumsiek J, Köttgen A, Spang R, Oefner PJ, Gronwald W.

J Proteome Res. 2019 Apr 5;18(4):1796-1805. doi: 10.1021/acs.jproteome.8b00983. Epub 2019 Mar 12.

PMID:
30817158
7.

Intermuscular adipose tissue directly modulates skeletal muscle insulin sensitivity in humans.

Sachs S, Zarini S, Kahn DE, Harrison KA, Perreault L, Phang T, Newsom SA, Strauss A, Kerege A, Schoen JA, Bessesen DH, Schwarzmayr T, Graf E, Lutter D, Krumsiek J, Hofmann SM, Bergman BC.

Am J Physiol Endocrinol Metab. 2019 May 1;316(5):E866-E879. doi: 10.1152/ajpendo.00243.2018. Epub 2019 Jan 8.

PMID:
30620635
8.

The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice.

Kindt A, Liebisch G, Clavel T, Haller D, Hörmannsperger G, Yoon H, Kolmeder D, Sigruener A, Krautbauer S, Seeliger C, Ganzha A, Schweizer S, Morisset R, Strowig T, Daniel H, Helm D, Küster B, Krumsiek J, Ecker J.

Nat Commun. 2018 Sep 14;9(1):3760. doi: 10.1038/s41467-018-05767-4.

9.

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
10.

A Systemic Inflammatory Signature Reflecting Cross Talk Between Innate and Adaptive Immunity Is Associated With Incident Polyneuropathy: KORA F4/FF4 Study.

Herder C, Kannenberg JM, Carstensen-Kirberg M, Strom A, Bönhof GJ, Rathmann W, Huth C, Koenig W, Heier M, Krumsiek J, Peters A, Meisinger C, Roden M, Thorand B, Ziegler D.

Diabetes. 2018 Nov;67(11):2434-2442. doi: 10.2337/db18-0060. Epub 2018 Aug 16.

11.

Hepatic Steatosis Is Associated With Adverse Molecular Signatures in Subjects Without Diabetes.

Pietzner M, Budde K, Homuth G, Kastenmüller G, Henning AK, Artati A, Krumsiek J, Völzke H, Adamski J, Lerch MM, Kühn JP, Nauck M, Friedrich N.

J Clin Endocrinol Metab. 2018 Oct 1;103(10):3856-3868. doi: 10.1210/jc.2018-00999.

PMID:
30060179
12.

MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions.

Do KT, Rasp DJN, Kastenmüller G, Suhre K, Krumsiek J.

Bioinformatics. 2019 Feb 1;35(3):532-534. doi: 10.1093/bioinformatics/bty650.

13.

Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: a prospective cohort study.

Pitchika A, Jolink M, Winkler C, Hummel S, Hummel N, Krumsiek J, Kastenmüller G, Raab J, Kordonouri O, Ziegler AG, Beyerlein A.

Diabetologia. 2018 Nov;61(11):2319-2332. doi: 10.1007/s00125-018-4688-x. Epub 2018 Jul 14.

PMID:
30008062
14.

Comparison of metabolite networks from four German population-based studies.

Iqbal K, Dietrich S, Wittenbecher C, Krumsiek J, Kühn T, Lacruz ME, Kluttig A, Prehn C, Adamski J, von Bergen M, Kaaks R, Schulze MB, Boeing H, Floegel A.

Int J Epidemiol. 2018 Dec 1;47(6):2070-2081. doi: 10.1093/ije/dyy119.

15.

Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children.

Bonifacio E, Beyerlein A, Hippich M, Winkler C, Vehik K, Weedon MN, Laimighofer M, Hattersley AT, Krumsiek J, Frohnert BI, Steck AK, Hagopian WA, Krischer JP, Lernmark Å, Rewers MJ, She JX, Toppari J, Akolkar B, Oram RA, Rich SS, Ziegler AG; TEDDY Study Group.

PLoS Med. 2018 Apr 3;15(4):e1002548. doi: 10.1371/journal.pmed.1002548. eCollection 2018 Apr.

16.

Comprehensive Metabolic Profiling Reveals a Lipid-Rich Fingerprint of Free Thyroxine Far Beyond Classic Parameters.

Lange T, Budde K, Homuth G, Kastenmüller G, Artati A, Krumsiek J, Völzke H, Adamski J, Petersmann A, Völker U, Nauck M, Friedrich N, Pietzner M.

J Clin Endocrinol Metab. 2018 May 1;103(5):2050-2060. doi: 10.1210/jc.2018-00183.

PMID:
29546278
17.

Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns.

Wahl A, van den Akker E, Klaric L, Štambuk J, Benedetti E, Plomp R, Razdorov G, Trbojević-Akmačić I, Deelen J, van Heemst D, Slagboom PE, Vučković F, Grallert H, Krumsiek J, Strauch K, Peters A, Meitinger T, Hayward C, Wuhrer M, Beekman M, Lauc G, Gieger C.

Front Immunol. 2018 Feb 26;9:277. doi: 10.3389/fimmu.2018.00277. eCollection 2018.

18.

Eating less or more - Mindset induced changes in neural correlates of pre-meal planning.

Hege MA, Veit R, Krumsiek J, Kullmann S, Heni M, Rogers PJ, Brunstrom JM, Fritsche A, Preissl H.

Appetite. 2018 Jun 1;125:492-501. doi: 10.1016/j.appet.2018.03.006. Epub 2018 Mar 7.

PMID:
29524474
19.

Publisher Correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway.

Benedetti E, Pučić-Baković M, Keser T, Wahl A, Hassinen A, Yang JY, Liu L, Trbojević-Akmačić I, Razdorov G, Štambuk J, Klarić L, Ugrina I, Selman MHJ, Wuhrer M, Rudan I, Polasek O, Hayward C, Grallert H, Strauch K, Peters A, Meitinger T, Gieger C, Vilaj M, Boons GJ, Moremen KW, Ovchinnikova T, Bovin N, Kellokumpu S, Theis FJ, Lauc G, Krumsiek J.

Nat Commun. 2018 Feb 13;9(1):706. doi: 10.1038/s41467-017-02379-2.

20.

Impaired granulocyte-macrophage colony-stimulating factor bioactivity accelerates surgical recurrence in ileal Crohn's disease.

Gathungu G, Zhang Y, Tian X, Bonkowski E, Rowehl L, Krumsiek J, Nix B, Chalk C, Trapnell B, Zhu W, Newberry R, Denson L, Li E.

World J Gastroenterol. 2018 Feb 7;24(5):623-630. doi: 10.3748/wjg.v24.i5.623.

21.

Metabolomic Profiling Reveals Cellular Reprogramming of B-Cell Lymphoma by a Lysine Deacetylase Inhibitor through the Choline Pathway.

Pera B, Krumsiek J, Assouline SE, Marullo R, Patel J, Phillip JM, Román L, Mann KK, Cerchietti L.

EBioMedicine. 2018 Feb;28:80-89. doi: 10.1016/j.ebiom.2018.01.014. Epub 2018 Jan 31.

22.

Allele-specific methylation of type 1 diabetes susceptibility genes.

Kindt ASD, Fuerst RW, Knoop J, Laimighofer M, Telieps T, Hippich M, Woerheide MA, Wahl S, Wilson R, Sedlmeier EM, Hommel A, Todd JA, Krumsiek J, Ziegler AG, Bonifacio E.

J Autoimmun. 2018 May;89:63-74. doi: 10.1016/j.jaut.2017.11.008. Epub 2017 Dec 8.

23.

Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway.

Benedetti E, Pučić-Baković M, Keser T, Wahl A, Hassinen A, Yang JY, Liu L, Trbojević-Akmačić I, Razdorov G, Štambuk J, Klarić L, Ugrina I, Selman MHJ, Wuhrer M, Rudan I, Polasek O, Hayward C, Grallert H, Strauch K, Peters A, Meitinger T, Gieger C, Vilaj M, Boons GJ, Moremen KW, Ovchinnikova T, Bovin N, Kellokumpu S, Theis FJ, Lauc G, Krumsiek J.

Nat Commun. 2017 Nov 14;8(1):1483. doi: 10.1038/s41467-017-01525-0. Erratum in: Nat Commun. 2018 Feb 13;9(1):706.

24.

Phenotype-driven identification of modules in a hierarchical map of multifluid metabolic correlations.

Do KT, Pietzner M, Rasp DJ, Friedrich N, Nauck M, Kocher T, Suhre K, Mook-Kanamori DO, Kastenmüller G, Krumsiek J.

NPJ Syst Biol Appl. 2017 Sep 21;3:28. doi: 10.1038/s41540-017-0029-9. eCollection 2017.

25.

Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young.

Frohnert BI, Laimighofer M, Krumsiek J, Theis FJ, Winkler C, Norris JM, Ziegler AG, Rewers MJ, Steck AK.

Pediatr Diabetes. 2018 Mar;19(2):277-283. doi: 10.1111/pedi.12543. Epub 2017 Jul 11.

26.

N-acyl Taurines and Acylcarnitines Cause an Imbalance in Insulin Synthesis and Secretion Provoking β Cell Dysfunction in Type 2 Diabetes.

Aichler M, Borgmann D, Krumsiek J, Buck A, MacDonald PE, Fox JEM, Lyon J, Light PE, Keipert S, Jastroch M, Feuchtinger A, Mueller NS, Sun N, Palmer A, Alexandrov T, Hrabe de Angelis M, Neschen S, Tschöp MH, Walch A.

Cell Metab. 2017 Jun 6;25(6):1334-1347.e4. doi: 10.1016/j.cmet.2017.04.012.

27.

Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies.

Quell JD, Römisch-Margl W, Colombo M, Krumsiek J, Evans AM, Mohney R, Salomaa V, de Faire U, Groop LC, Agakov F, Looker HC, McKeigue P, Colhoun HM, Kastenmüller G.

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Dec 15;1071:58-67. doi: 10.1016/j.jchromb.2017.04.002. Epub 2017 Apr 4.

28.

Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model.

Zierer J, Pallister T, Tsai PC, Krumsiek J, Bell JT, Lauc G, Spector TD, Menni C, Kastenmüller G.

Sci Rep. 2016 Nov 25;6:37646. doi: 10.1038/srep37646.

29.

Peptide serum markers in islet autoantibody-positive children.

von Toerne C, Laimighofer M, Achenbach P, Beyerlein A, de Las Heras Gala T, Krumsiek J, Theis FJ, Ziegler AG, Hauck SM.

Diabetologia. 2017 Feb;60(2):287-295. doi: 10.1007/s00125-016-4150-x. Epub 2016 Nov 4.

PMID:
27815605
30.

Metabolic Fingerprints of Circulating IGF-1 and the IGF-1/IGFBP-3 Ratio: A Multifluid Metabolomics Study.

Knacke H, Pietzner M, Do KT, Römisch-Margl W, Kastenmüller G, Völker U, Völzke H, Krumsiek J, Artati A, Wallaschofski H, Nauck M, Suhre K, Adamski J, Friedrich N.

J Clin Endocrinol Metab. 2016 Dec;101(12):4730-4742. Epub 2016 Oct 6.

PMID:
27710242
31.

Lactation is associated with altered metabolomic signatures in women with gestational diabetes.

Much D, Beyerlein A, Kindt A, Krumsiek J, Stückler F, Rossbauer M, Hofelich A, Wiesenäcker D, Hivner S, Herbst M, Römisch-Margl W, Prehn C, Adamski J, Kastenmüller G, Theis F, Ziegler AG, Hummel S.

Diabetologia. 2016 Oct;59(10):2193-202. doi: 10.1007/s00125-016-4055-8. Epub 2016 Jul 16.

PMID:
27423999
32.

Software tools for single-cell tracking and quantification of cellular and molecular properties.

Hilsenbeck O, Schwarzfischer M, Skylaki S, Schauberger B, Hoppe PS, Loeffler D, Kokkaliaris KD, Hastreiter S, Skylaki E, Filipczyk A, Strasser M, Buggenthin F, Feigelman JS, Krumsiek J, van den Berg AJ, Endele M, Etzrodt M, Marr C, Theis FJ, Schroeder T.

Nat Biotechnol. 2016 Jul 12;34(7):703-6. doi: 10.1038/nbt.3626. No abstract available.

PMID:
27404877
33.

Computational approaches for systems metabolomics.

Krumsiek J, Bartel J, Theis FJ.

Curr Opin Biotechnol. 2016 Jun;39:198-206. doi: 10.1016/j.copbio.2016.04.009. Epub 2016 Apr 30. Review.

34.

Metabolomics reveals effects of maternal smoking on endogenous metabolites from lipid metabolism in cord blood of newborns.

Rolle-Kampczyk UE, Krumsiek J, Otto W, Röder SW, Kohajda T, Borte M, Theis F, Lehmann I, von Bergen M.

Metabolomics. 2016;12:76. Epub 2016 Mar 8.

35.

Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.

Laimighofer M, Krumsiek J, Buettner F, Theis FJ.

J Comput Biol. 2016 Apr;23(4):279-90. doi: 10.1089/cmb.2015.0192. Epub 2016 Feb 19.

36.

Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders.

Schulte EC, Altmaier E, Berger HS, Do KT, Kastenmüller G, Wahl S, Adamski J, Peters A, Krumsiek J, Suhre K, Haslinger B, Ceballos-Baumann A, Gieger C, Winkelmann J.

PLoS One. 2016 Jan 25;11(1):e0147129. doi: 10.1371/journal.pone.0147129. eCollection 2016.

37.

Metabolomics screening identifies reduced L-carnitine to be associated with progressive emphysema.

Conlon TM, Bartel J, Ballweg K, Günter S, Prehn C, Krumsiek J, Meiners S, Theis FJ, Adamski J, Eickelberg O, Yildirim AÖ.

Clin Sci (Lond). 2016 Feb;130(4):273-87. doi: 10.1042/CS20150438. Epub 2015 Nov 12.

PMID:
26564208
38.

Gender-specific pathway differences in the human serum metabolome.

Krumsiek J, Mittelstrass K, Do KT, Stückler F, Ried J, Adamski J, Peters A, Illig T, Kronenberg F, Friedrich N, Nauck M, Pietzner M, Mook-Kanamori DO, Suhre K, Gieger C, Grallert H, Theis FJ, Kastenmüller G.

Metabolomics. 2015;11(6):1815-1833. Epub 2015 Aug 4.

39.

A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population.

Sekula P, Goek ON, Quaye L, Barrios C, Levey AS, Römisch-Margl W, Menni C, Yet I, Gieger C, Inker LA, Adamski J, Gronwald W, Illig T, Dettmer K, Krumsiek J, Oefner PJ, Valdes AM, Meisinger C, Coresh J, Spector TD, Mohney RP, Suhre K, Kastenmüller G, Köttgen A.

J Am Soc Nephrol. 2016 Apr;27(4):1175-88. doi: 10.1681/ASN.2014111099. Epub 2015 Oct 8.

40.

Correction: Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by Genomic/Transcriptomic Analysis.

Zhang Y, Rowehl L, Krumsiek JM, Orner EP, Shaikh N, Tarr PI, Sodergren E, Weinstock GM, Boedeker EC, Xiong X, Parkinson J, Frank DN, Li E, Gathungu G.

PLoS One. 2015 Jul 28;10(7):e0134759. doi: 10.1371/journal.pone.0134759. eCollection 2015. No abstract available.

41.

Erratum to: A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, El-Din Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Sep;58(9):2199. doi: 10.1007/s00125-015-3682-9. No abstract available.

42.

Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by Genomic/Transcriptomic Analysis.

Zhang Y, Rowehl L, Krumsiek JM, Orner EP, Shaikh N, Tarr PI, Sodergren E, Weinstock GM, Boedeker EC, Xiong X, Parkinson J, Frank DN, Li E, Gathungu G.

PLoS One. 2015 Jun 30;10(6):e0130902. doi: 10.1371/journal.pone.0130902. eCollection 2015. Erratum in: PLoS One. 2015;10(7):e0134759.

43.

The Human Blood Metabolome-Transcriptome Interface.

Bartel J, Krumsiek J, Schramm K, Adamski J, Gieger C, Herder C, Carstensen M, Peters A, Rathmann W, Roden M, Strauch K, Suhre K, Kastenmüller G, Prokisch H, Theis FJ.

PLoS Genet. 2015 Jun 18;11(6):e1005274. doi: 10.1371/journal.pgen.1005274. eCollection 2015 Jun.

44.

A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Aug;58(8):1855-67. doi: 10.1007/s00125-015-3636-2. Epub 2015 Jun 7. Erratum in: Diabetologia. 2015 Sep;58(9):2199. Do, Kieu Thinh [corrected to Do, Kieu Trinh].

45.

Multi-omic signature of body weight change: results from a population-based cohort study.

Wahl S, Vogt S, Stückler F, Krumsiek J, Bartel J, Kacprowski T, Schramm K, Carstensen M, Rathmann W, Roden M, Jourdan C, Kangas AJ, Soininen P, Ala-Korpela M, Nöthlings U, Boeing H, Theis FJ, Meisinger C, Waldenberger M, Suhre K, Homuth G, Gieger C, Kastenmüller G, Illig T, Linseisen J, Peters A, Prokisch H, Herder C, Thorand B, Grallert H.

BMC Med. 2015 Mar 9;13:48. doi: 10.1186/s12916-015-0282-y.

46.

Methods for sample acquisition and processing of serial blood and tumor biopsies for multicenter diffuse large B-cell lymphoma clinical trials.

Nielsen TH, Diaz Z, Christodoulopoulos R, Charbonneau F, Qureshi S, Rousseau C, Benlimame N, Camlioglu E, Constantin AM, Oros KK, Krumsiek J, Crump M, Morin RD, Cerchietti L, Johnson NA, Petrogiannis-Haliotis T, Miller WH Jr, Assouline SE, Mann KK.

Cancer Epidemiol Biomarkers Prev. 2014 Dec;23(12):2688-93. doi: 10.1158/1055-9965.EPI-14-0549.

47.

Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva.

Do KT, Kastenmüller G, Mook-Kanamori DO, Yousri NA, Theis FJ, Suhre K, Krumsiek J.

J Proteome Res. 2015 Feb 6;14(2):1183-94. doi: 10.1021/pr501130a. Epub 2014 Dec 9.

PMID:
25434815
48.

Erratum to: Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Winkler C, Krumsiek J, Buettner F, Angermüller C, Giannopoulou EZ, Theis FJ, Ziegler AG, Bonifacio E.

Diabetologia. 2015 Jan;58(1):206. doi: 10.1007/s00125-014-3435-1. No abstract available.

PMID:
25374276
49.

Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Winkler C, Krumsiek J, Buettner F, Angermüller C, Giannopoulou EZ, Theis FJ, Ziegler AG, Bonifacio E.

Diabetologia. 2014 Dec;57(12):2521-9. doi: 10.1007/s00125-014-3362-1. Epub 2014 Sep 4. Erratum in: Diabetologia. 2015 Jan;58(1):206.

PMID:
25186292
50.

Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.

Ried JS, Shin SY, Krumsiek J, Illig T, Theis FJ, Spector TD, Adamski J, Wichmann HE, Strauch K, Soranzo N, Suhre K, Gieger C.

Hum Mol Genet. 2014 Nov 1;23(21):5847-57. doi: 10.1093/hmg/ddu301. Epub 2014 Jun 13.

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