| scholarly article | Q13442814 |
| P356 | DOI | 10.1038/EJCN.2013.147 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/ejcn.2013.147 |
| P698 | PubMed publication ID | 23942179 |
| P50 | author | Heiner Boeing | Q28356191 |
| Matthias B Schulze | Q37612247 | ||
| Tobias Pischon | Q43420911 | ||
| Cornelia Prehn | Q47357490 | ||
| P2093 | author name string | J Adamski | |
| D Drogan | |||
| A Floegel | |||
| A von Ruesten | |||
| P2860 | cites work | Epigenetic mechanisms for nutrition determinants of later health outcomes | Q24650907 |
| The human plasma lipidome | Q26830940 | ||
| A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance | Q28240815 | ||
| Mechanisms of blood glucose homeostasis | Q28329652 | ||
| Plasma metabolomic profiles reflective of glucose homeostasis in non-diabetic and type 2 diabetic obese African-American women | Q28476486 | ||
| Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting | Q28748492 | ||
| Metabolite profiles and the risk of developing diabetes | Q29615359 | ||
| EPIC-Germany--A source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition | Q33791266 | ||
| Recruitment procedures of EPIC-Germany. European Investigation into Cancer and Nutrition | Q33791272 | ||
| Reliability of serum metabolite concentrations over a 4-month period using a targeted metabolomic approach | Q33941155 | ||
| New hypotheses for the health-protective mechanisms of whole-grain cereals: what is beyond fibre? | Q34121906 | ||
| Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis | Q34207235 | ||
| Effects of eating fresh lean pork on cardiometabolic health parameters | Q36126425 | ||
| Novel biomarkers for pre-diabetes identified by metabolomics | Q36321634 | ||
| Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach | Q36560652 | ||
| A dietary pattern derived to correlate with estrogens and risk of postmenopausal breast cancer | Q36615875 | ||
| Phosphatidylcholine and choline homeostasis. | Q37060124 | ||
| Tea consumption and risk of type 2 diabetes: a meta-analysis of cohort studies | Q37160374 | ||
| Plasma acylcarnitine profiles suggest incomplete long-chain fatty acid beta-oxidation and altered tricarboxylic acid cycle activity in type 2 diabetic African-American women. | Q37271487 | ||
| Food patterns associated with blood lipids are predictive of coronary heart disease: the Whitehall II study | Q37459504 | ||
| L-carnitine--metabolic functions and meaning in humans life | Q37874328 | ||
| Phosphatidylcholine biosynthesis and lipoprotein metabolism | Q37943137 | ||
| Greater whole-grain intake is associated with lower risk of type 2 diabetes, cardiovascular disease, and weight gain | Q38014819 | ||
| Lipidomics in nutrition and food research. | Q38081867 | ||
| Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition | Q38558353 | ||
| Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics | Q39811810 | ||
| Butter, margarine and serum lipoproteins | Q41495172 | ||
| Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study | Q43572680 | ||
| Increased beef consumption increases apolipoprotein A-I but not serum cholesterol of mildly hypercholesterolemic men with different levels of habitual beef intake. | Q43928617 | ||
| Application of a new statistical method to derive dietary patterns in nutritional epidemiology | Q44884897 | ||
| Diet and risk of chronic diseases: results from the first 8 years of follow-up in the EPIC-Potsdam study. | Q46009511 | ||
| Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies | Q46576542 | ||
| Liver enzymes and incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study | Q46696572 | ||
| Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population | Q47950605 | ||
| Heritability of plasma amino acid levels in different nutritional states. | Q51488843 | ||
| A choline-deficient diet exacerbates fatty liver but attenuates insulin resistance and glucose intolerance in mice fed a high-fat diet. | Q51495633 | ||
| Dietary patterns, subclinical inflammation, incident coronary heart disease and mortality in middle-aged men from the MONICA/KORA Augsburg cohort study. | Q51581795 | ||
| Metabolomics and human nutrition. | Q51763931 | ||
| The relative validity of vitamin intakes derived from a food frequency questionnaire compared to 24-hour recalls and biological measurements: results from the EPIC pilot study in Germany. European Prospective Investigation into Cancer and Nutrition. | Q52005057 | ||
| Reproducibility and relative validity of energy and macronutrient intake of a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition. | Q52005059 | ||
| Procedure for tissue sample preparation and metabolite extraction for high-throughput targeted metabolomics | Q59157191 | ||
| Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled | Q73026230 | ||
| Evaluation of a biological marker of dairy fat intake | Q77078007 | ||
| Could exposure assessment problems give us wrong answers to nutrition and cancer questions? | Q80952573 | ||
| Dietary protein quality and malnutrition in Africa | Q85306854 | ||
| P433 | issue | 10 | |
| P304 | page(s) | 1100-1108 | |
| P577 | publication date | 2013-08-14 | |
| P1433 | published in | European Journal of Clinical Nutrition | Q15756702 |
| P1476 | title | Variation of serum metabolites related to habitual diet: a targeted metabolomic approach in EPIC-Potsdam. | |
| P478 | volume | 67 |
| Q55314521 | Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies. |
| Q61817179 | Associations Between Dietary Protein Sources, Plasma BCAA and Short-Chain Acylcarnitine Levels in Adults |
| Q37061182 | Associations of anthropometric markers with serum metabolites using a targeted metabolomics approach: results of the EPIC-potsdam study |
| Q57064967 | Biomarker of food intake for assessing the consumption of dairy and egg products |
| Q36064059 | Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins. |
| Q39502852 | Comparing metabolite profiles of habitual diet in serum and urine |
| Q38801039 | Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies |
| Q38580222 | Current Trends and Innovations in Bioanalytical Techniques of Metabolomics |
| Q54963308 | Dietary Pattern and Plasma BCAA-Variations in Healthy Men and Women-Results from the KarMeN Study. |
| Q90028835 | Dietary Patterns Are Associated with Serum Metabolite Patterns and Their Association Is Influenced by Gut Bacteria among Older German Adults |
| Q38975128 | Discovery of urinary biomarkers of whole grain rye intake in free-living subjects using nontargeted LC-MS metabolite profiling. |
| Q50314093 | Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery. |
| Q37709537 | High sensitivity C-reactive protein (Hs-CRP) remains highly stable in long-term archived human serum |
| Q91802252 | High-Intensity Interval Training Decreases Resting Urinary Hypoxanthine Concentration in Young Active Men-A Metabolomic Approach |
| Q40404158 | Identifying biomarkers of dietary patterns by using metabolomics. |
| Q33846409 | Importance of metabolomics analyses of maternal parameters and their influence on fetal growth |
| Q34499595 | Linking diet, physical activity, cardiorespiratory fitness and obesity to serum metabolite networks: findings from a population-based study |
| Q38345748 | Lipidomic analysis of serum from high fat diet induced obese mice |
| Q89165734 | Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort |
| Q42236698 | Metabolites of milk intake: a metabolomic approach in UK twins with findings replicated in two European cohorts. |
| Q51198648 | Metabolomic profiles as reliable biomarkers of dietary composition. |
| Q38674220 | Metabolomic-based identification of clusters that reflect dietary patterns |
| Q56089108 | Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review |
| Q38843495 | Metabolomics as a tool in the identification of dietary biomarkers |
| Q58419488 | Metabolomics for Biomarkers of Type 2 Diabetes Mellitus: Advances and Nutritional Intervention Trends |
| Q34087177 | Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations. |
| Q35525760 | Metabolomics in the developmental origins of obesity and its cardiometabolic consequences |
| Q64063368 | Paving the Way to Precision Nutrition Through Metabolomics |
| Q93035840 | Plasma Acylcarnitines and Risk of Type 2 Diabetes in a Mediterranean Population at High Cardiovascular Risk |
| Q57174283 | Plasma metabolites associated with healthy Nordic dietary indexes and risk of type 2 diabetes-a nested case-control study in a Swedish population |
| Q50046253 | Precision nutrition for prevention and management of type 2 diabetes. |
| Q55381581 | Serum metabolite profile associated with incident type 2 diabetes in Koreans: findings from the Korean Genome and Epidemiology Study. |
| Q89133539 | Sex consideration in diet-biomarker-related indices: a systematic review |
| Q39985836 | The Healthy Core Metabolism: A New Paradigm for Primary Preventive Nutrition |
| Q37139537 | The Karlsruhe Metabolomics and Nutrition (KarMeN) Study: Protocol and Methods of a Cross-Sectional Study to Characterize the Metabolome of Healthy Men and Women |
| Q58774700 | The human metabolic profile reflects macro- and micronutrient intake distinctly according to fasting time |
| Q38770050 | The role of metabolomics in determination of new dietary biomarkers |
| Q30250086 | The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples. |
| Q37640243 | Untargeted metabolomics of colonic digests reveals kynurenine pathway metabolites, dityrosine and 3-dehydroxycarnitine as red versus white meat discriminating metabolites |
| Q47781484 | Use of Metabolomics in Improving Assessment of Dietary Intake |
| Q53406687 | Whole grains beyond fibre: what can metabolomics tell us about mechanisms? |
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