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Non-Randomized Study Protocols and Methods (Non-eHealth) (571)

Published on in Vol 5, No 3 (2016): Jul-Sept

The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women

The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women

The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women

Authors of this article:

Achim Bub1 Author Orcid Image ;   Anita Kriebel1 Author Orcid Image ;   Claudia Dörr1 Author Orcid Image ;   Susanne Bandt1 Author Orcid Image ;   Manuela Rist1 Author Orcid Image ;   Alexander Roth1 Author Orcid Image ;   Eva Hummel2 Author Orcid Image ;   Sabine Kulling3 Author Orcid Image ;   Ingrid Hoffmann2 Author Orcid Image ;   Bernhard Watzl1 Author Orcid Image
Article Authors Cited by (23) Tweetations (6) Metrics

Journals

  1. Rist M, Roth A, Frommherz L, Weinert C, Krüger R, Merz B, Bunzel D, Mack C, Egert B, Bub A, Görling B, Tzvetkova P, Luy B, Hoffmann I, Kulling S, Watzl B, Monleon D. Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study. PLOS ONE 2017;12(8):e0183228 View
  2. Mack C, Ferrario P, Weinert C, Egert B, Hoefle A, Lee Y, Skurk T, Kulling S, Daniel H. Exploring the Diversity of Sugar Compounds in Healthy, Prediabetic, and Diabetic Volunteers. Molecular Nutrition & Food Research 2020;64(9) View
  3. Ulaszewska M, Weinert C, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R, Brennan L, Brunius C, Bub A, Capozzi F, Cialiè Rosso M, Cordero C, Daniel H, Durand S, Egert B, Ferrario P, Feskens E, Franceschi P, Garcia‐Aloy M, Giacomoni F, Giesbertz P, González‐Domínguez R, Hanhineva K, Hemeryck L, Kopka J, Kulling S, Llorach R, Manach C, Mattivi F, Migné C, Münger L, Ott B, Picone G, Pimentel G, Pujos‐Guillot E, Riccadonna S, Rist M, Rombouts C, Rubert J, Skurk T, Sri Harsha P, Van Meulebroek L, Vanhaecke L, Vázquez‐Fresno R, Wishart D, Vergères G. Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies. Molecular Nutrition & Food Research 2019;63(1) View
  4. Soukup S, Merz B, Bub A, Hoffmann I, Watzl B, Steinberg P, Kulling S. Glyphosate and AMPA levels in human urine samples and their correlation with food consumption: results of the cross-sectional KarMeN study in Germany. Archives of Toxicology 2020;94(5):1575 View
  5. Biniaminov N, Bandt S, Roth A, Haertel S, Neumann R, Bub A, Staiger H. Irisin, physical activity and fitness status in healthy humans: No association under resting conditions in a cross-sectional study. PLOS ONE 2018;13(1):e0189254 View
  6. Kistner S, Rist M, Döring M, Dörr C, Neumann R, Härtel S, Bub A. An NMR-Based Approach to Identify Urinary Metabolites Associated with Acute Physical Exercise and Cardiorespiratory Fitness in Healthy Humans—Results of the KarMeN Study. Metabolites 2020;10(5):212 View
  7. Choi P, Bowes D, O'Brien J, Li J, Halden R, Jiang G, Thomas K, Mueller J. Do food and stress biomarkers work for wastewater-based epidemiology? A critical evaluation. Science of The Total Environment 2020;736:139654 View
  8. Krüger R, Merz B, Rist M, Ferrario P, Bub A, Kulling S, Watzl B. Associations of current diet with plasma and urine TMAO in the KarMeN study: direct and indirect contributions. Molecular Nutrition & Food Research 2017;61(11) View
  9. Vázquez-Manjarrez N, Weinert C, Ulaszewska M, Mack C, Micheau P, Pétéra M, Durand S, Pujos-Guillot E, Egert B, Mattivi F, Bub A, Dragsted L, Kulling S, Manach C. Discovery and Validation of Banana Intake Biomarkers Using Untargeted Metabolomics in Human Intervention and Cross-sectional Studies. The Journal of Nutrition 2019;149(10):1701 View
  10. Mack C, Weinert C, Egert B, Ferrario P, Bub A, Hoffmann I, Watzl B, Daniel H, Kulling S. The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study. The American Journal of Clinical Nutrition 2018;108(3):502 View
  11. Armbruster M, Rist M, Seifert S, Frommherz L, Weinert C, Mack C, Roth A, Merz B, Bunzel D, Krüger R, Kulling S, Watzl B, Bub A. Metabolite profiles evaluated, according to sex, do not predict resting energy expenditure and lean body mass in healthy non-obese subjects. European Journal of Nutrition 2019;58(6):2207 View
  12. Higgins Keppler E, Jenkins C, Davis T, Bean H. Advances in the application of comprehensive two-dimensional gas chromatography in metabolomics. TrAC Trends in Analytical Chemistry 2018;109:275 View
  13. Mack C, Egert B, Liberto E, Weinert C, Bub A, Hoffmann I, Bicchi C, Kulling S, Cordero C. Robust Markers of Coffee Consumption Identified Among the Volatile Organic Compounds in Human Urine. Molecular Nutrition & Food Research 2019;63(10) View
  14. Brouwer-Brolsma E, Brennan L, Drevon C, van Kranen H, Manach C, Dragsted L, Roche H, Andres-Lacueva C, Bakker S, Bouwman J, Capozzi F, De Saeger S, Gundersen T, Kolehmainen M, Kulling S, Landberg R, Linseisen J, Mattivi F, Mensink R, Scaccini C, Skurk T, Tetens I, Vergeres G, Wishart D, Scalbert A, Feskens E. Combining traditional dietary assessment methods with novel metabolomics techniques: present efforts by the Food Biomarker Alliance. Proceedings of the Nutrition Society 2017;76(4):619 View
  15. Trabado S, Al-Salameh A, Croixmarie V, Masson P, Corruble E, Fève B, Colle R, Ripoll L, Walther B, Boursier-Neyret C, Werner E, Becquemont L, Chanson P, Motta A. The human plasma-metabolome: Reference values in 800 French healthy volunteers; impact of cholesterol, gender and age. PLOS ONE 2017;12(3):e0173615 View
  16. Merz B, Frommherz L, Rist M, Kulling S, Bub A, Watzl B. Dietary Pattern and Plasma BCAA-Variations in Healthy Men and Women—Results from the KarMeN Study. Nutrients 2018;10(5):623 View
  17. Roggensack T, Merz B, Dick N, Bub A, Krüger R. Targeted ultra‐performance liquid chromatography/tandem mass spectrometric quantification of methylated amines and selected amino acids in biofluids. Rapid Communications in Mass Spectrometry 2020;34(7) View
  18. Castro A, Signini É, De Oliveira J, Di Medeiros Leal M, Rehder-Santos P, Millan-Mattos J, Minatel V, Pantoni C, Oliveira R, Catai A, Ferreira A. The Aging Process: A Metabolomics Perspective. Molecules 2022;27(24):8656 View
  19. Dötsch A, Merz B, Louis S, Krems C, Herrmann M, Dörr C, Watzl B, Bub A, Straßburg A, Engelbert A. Assessment of Energy and Nutrient Intake and the Intestinal Microbiome (ErNst Study): Protocol and Methods of a Cross-sectional Human Observational Study. JMIR Research Protocols 2023;12:e42529 View
  20. Jeppesen M, Powers R. Multiplatform untargeted metabolomics. Magnetic Resonance in Chemistry 2023;61(12):628 View
  21. Sherlock L, Martin B, Behsangar S, Mok K. Application of novel AI-based algorithms to biobank data: uncovering of new features and linear relationships. Frontiers in Medicine 2023;10 View
  22. Ferrario P, Bub A, Frommherz L, Krüger R, Rist M, Watzl B. A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome. Metabolomics 2023;20(1) View
  23. Kistner S, Döring M, Krüger R, Rist M, Weinert C, Bunzel D, Merz B, Radloff K, Neumann R, Härtel S, Bub A. Sex-Specific Relationship between the Cardiorespiratory Fitness and Plasma Metabolite Patterns in Healthy Humans—Results of the KarMeN Study. Metabolites 2021;11(7):463 View