ArticleJMIR research protocols2016
The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women.
Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Validating a Multibiomarker Panel for the Assessment of Quantity and Quality of Plant Foods in the Diet (PLAENTI): Protocol for a Parallel Group-Designed Randomized Controlled Trial.JMIR research protocols · 2026Trial
- Metabolomics and Human Health: Progress, Insights, Challenges and the Concept of a Healthy Metabolome.Biomolecules · 2026Review
- A Sugaromics Method for Combined Targeted and Untargeted Sugar Profiling: Fit-for-Purpose Validation of a Quantitative GC × GC-MS Approach.Analytical chemistry · 2026Article
- Proteomics and Metabolomics-Based Investigation of Local Microenvironmental Changes in Sensitized Acupoint Compared to Non-Sensitized Point Among Patients with Chronic Atrophic Gastritis: A Cross-Sectional Study Protocol.Journal of pain research · 2026Article
- Urinary excretion of low- and no-calorie sweeteners (LNCS) and associated food sources, as observed in the German cross-sectional KarMeN-study.European journal of nutrition · 2025Article
- Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023Review
- A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- 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 · 2023Article
- Application of novel AI-based algorithms to biobank data: uncovering of new features and linear relationships.Frontiers in medicine · 2023Article
- The Aging Process: A Metabolomics Perspective.Molecules (Basel, Switzerland) · 2022Article
- Sex-Specific Relationship between the Cardiorespiratory Fitness and Plasma Metabolite Patterns in Healthy Humans-Results of the KarMeN Study.Metabolites · 2021Article
- Article
- 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 · 2020Article
- 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 · 2019Article
- Advances in the application of comprehensive two-dimensional gas chromatography in metabolomics.Trends in analytical chemistry : TRAC · 2018Article
- The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study.The American journal of clinical nutrition · 2018Article
- Dietary Pattern and Plasma BCAA-Variations in Healthy Men and Women-Results from the KarMeN Study.Nutrients · 2018Article
- Irisin, physical activity and fitness status in healthy humans: No association under resting conditions in a cross-sectional study.PloS one · 2018Article
- Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study.PloS one · 2017Article
- The human plasma-metabolome: Reference values in 800 French healthy volunteers; impact of cholesterol, gender and age.PloS one · 2017Article
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10 authors.
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Abstract
backgroundThe human metabolome is influenced by various intrinsic and extrinsic factors. A precondition to identify such biomarkers is the comprehensive understanding of the composition and variability of the metabolome of healthy humans. Sample handling aspects have an important impact on the composition of the metabolome; therefore, it is crucial for any metabolomics study to standardize protocols on sample collection, preanalytical sample handling, storage, and analytics to keep the nonbiological variability as low as possible.
objectiveThe main objective of the KarMeN study is to analyze the human metabolome in blood and urine by targeted and untargeted metabolite profiling (gas chromatography-mass spectrometry [GC-MS], GC×GC-MS, liquid chromatography-mass spectrometry [LC-MS/MS], and(1)H nuclear magnetic resonance [NMR] spectroscopy) and to determine the impact of sex, age, body composition, diet, and physical activity on metabolite profiles of healthy women and men. Here, we report the outline of the study protocol with special regard to all aspects that should be considered in studies applying metabolomics.
methodsHealthy men and women, aged 18 years or older, were recruited. In addition to a number of anthropometric (height, weight, body mass index, waist circumference, body composition), clinical (blood pressure, electrocardiogram, blood and urine clinical chemistry) and functional parameters (lung function, arterial stiffness), resting metabolic rate, physical activity, fitness, and dietary intake were assessed, and 24-hour urine, fasting spot urine, and plasma samples were collected. Standard operating procedures were established for all steps of the study design. Using different analytical techniques (LC-MS, GC×GC-MS,(1)H NMR spectroscopy), metabolite profiles of urine and plasma were determined. Data will be analyzed using univariate and multivariate as well as predictive modeling methods.
resultsThe project was funded in 2011 and enrollment was carried out between March 2012 and July 2013. A total of 301 volunteers were eligible to participate in the study. Metabolite profiling of plasma and urine samples has been completed and data analysis is currently underway.
conclusionsWe established the KarMeN study applying a broad set of clinical and physiological examinations with a high degree of standardization. Our experimental approach of combining scheduled timing of examinations and sampling with the multiplatform approach (GC×GC-MS, GC-MS, LC-MS/MS, and(1)H NMR spectroscopy) will enable us to differentiate between current and long-term effects of diet and physical activity on metabolite profiles, while enabling us at the same time to consider confounders such as age and sex in the KarMeN study.
trial registrationGerman Clinical Trials Register DRKS00004890; https://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00004890 (Archived by WebCite at http://www.webcitation.org/6iyM8dMtx).
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