Published on 15.07.16 in Vol 5, No 3 (2016): Jul-Sept
Works citing "The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women"
According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.5792):
(note that this is only a small subset of citations)
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Rist MJ, Roth A, Frommherz L, Weinert CH, Krüger R, Merz B, Bunzel D, Mack C, Egert B, Bub A, Görling B, Tzvetkova P, Luy B, Hoffmann I, Kulling SE, 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
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Mack CI, Ferrario PG, Weinert CH, Egert B, Hoefle AS, Lee Y, Skurk T, Kulling SE, Daniel H. Exploring the Diversity of Sugar Compounds in Healthy, Prediabetic, and Diabetic Volunteers. Molecular Nutrition & Food Research 2020;64(9)
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Ulaszewska MM, Weinert CH, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R, Brennan L, Brunius C, Bub A, Capozzi F, Cialiè Rosso M, Cordero CE, Daniel H, Durand S, Egert B, Ferrario PG, Feskens EJ, Franceschi P, Garcia‐Aloy M, Giacomoni F, Giesbertz P, González‐Domínguez R, Hanhineva K, Hemeryck LY, Kopka J, Kulling SE, Llorach R, Manach C, Mattivi F, Migné C, Münger LH, Ott B, Picone G, Pimentel G, Pujos‐Guillot E, Riccadonna S, Rist MJ, Rombouts C, Rubert J, Skurk T, Sri Harsha PSC, 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)
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Soukup ST, Merz B, Bub A, Hoffmann I, Watzl B, Steinberg P, Kulling SE. 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
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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
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Kistner S, Rist MJ, 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
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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
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Krüger R, Merz B, Rist MJ, Ferrario PG, Bub A, Kulling SE, 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)
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Vázquez-Manjarrez N, Weinert CH, Ulaszewska MM, Mack CI, Micheau P, Pétéra M, Durand S, Pujos-Guillot E, Egert B, Mattivi F, Bub A, Dragsted LO, Kulling SE, 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
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Mack CI, Weinert CH, Egert B, Ferrario PG, Bub A, Hoffmann I, Watzl B, Daniel H, Kulling SE. The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study. The American Journal of Clinical Nutrition 2018;108(3):502
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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
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Higgins Keppler EA, Jenkins CL, Davis TJ, Bean HD. Advances in the application of comprehensive two-dimensional gas chromatography in metabolomics. TrAC Trends in Analytical Chemistry 2018;109:275
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Mack CI, Egert B, Liberto E, Weinert CH, Bub A, Hoffmann I, Bicchi C, Kulling SE, Cordero C. Robust Markers of Coffee Consumption Identified Among the Volatile Organic Compounds in Human Urine. Molecular Nutrition & Food Research 2019;63(10)
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Brouwer-Brolsma EM, Brennan L, Drevon CA, van Kranen H, Manach C, Dragsted LO, Roche HM, Andres-Lacueva C, Bakker SJL, Bouwman J, Capozzi F, De Saeger S, Gundersen TE, Kolehmainen M, Kulling SE, Landberg R, Linseisen J, Mattivi F, Mensink RP, Scaccini C, Skurk T, Tetens I, Vergeres G, Wishart DS, Scalbert A, Feskens EJM. 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
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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
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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
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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)
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Castro A, Signini F, De Oliveira JM, Di Medeiros Leal MCB, Rehder-Santos P, Millan-Mattos JC, Minatel V, Pantoni CBF, Oliveira RV, Catai AM, Ferreira AG. The Aging Process: A Metabolomics Perspective. Molecules 2022;27(24):8656
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Dötsch A, Merz B, Louis S, Krems C, Herrmann M, Dörr C, Watzl B, Bub A, Straßburg A, Engelbert AK. 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
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Jeppesen MJ, Powers R. Multiplatform untargeted metabolomics. Magnetic Resonance in Chemistry 2023;61(12):628
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Sherlock L, Martin BR, Behsangar S, Mok KH. Application of novel AI-based algorithms to biobank data: uncovering of new features and linear relationships. Frontiers in Medicine 2023;10
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Ferrario PG, Bub A, Frommherz L, Krüger R, Rist MJ, Watzl B. A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome. Metabolomics 2023;20(1)
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