| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1002778922 |
| P356 | DOI | 10.1038/NATURE06882 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/nature06882 |
| P8608 | Fatcat ID | release_tejsa7avebhbbmg7ftaclyyqoa |
| P932 | PMC publication ID | 6556779 |
| P698 | PubMed publication ID | 18425110 |
| P5875 | ResearchGate publication ID | 5427848 |
| P50 | author | Jeremiah Stamler | Q6180986 |
| Jeremy K. Nicholson | Q18720163 | ||
| Elaine Holmes | Q28469525 | ||
| Ruey Leng Loo | Q42767855 | ||
| Queenie Chan | Q46760435 | ||
| Kirill Veselkov | Q50618679 | ||
| Paul Elliott | Q59262666 | ||
| Martha L. Daviglus | Q63255347 | ||
| Hirotsugu Ueshima | Q68566232 | ||
| Maria De Iorio | Q91730200 | ||
| Ivan Kok Seng Yap | Q92697715 | ||
| Liancheng Zhao | Q92753793 | ||
| Magda Bictash | Q117279653 | ||
| Hugo Kesteloot | Q117279661 | ||
| P2093 | author name string | Ian J Brown | |
| Tim Ebbels | |||
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| P433 | issue | 7193 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | phenotype | Q104053 |
| P304 | page(s) | 396-400 | |
| P577 | publication date | 2008-04-20 | |
| P1433 | published in | Nature | Q180445 |
| P1476 | title | Human metabolic phenotype diversity and its association with diet and blood pressure | |
| P478 | volume | 453 |
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| Q35398225 | Noninvasive analysis of metabolic changes following nutrient input into diverse fish species, as investigated by metabolic and microbial profiling approaches |
| Q37421650 | Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma. |
| Q37285874 | Nutrient Intake Is Associated with Longevity Characterization by Metabolites and Element Profiles of Healthy Centenarians. |
| Q99585659 | Nutriome-metabolome relationships provide insights into dietary intake and metabolism |
| Q27011617 | Obesity and psychotic disorders: uncovering common mechanisms through metabolomics |
| Q34183127 | Of monkeys and men: a metabolomic analysis of static and dynamic urinary metabolic phenotypes in two species |
| Q24316710 | Olfactory receptor responding to gut microbiota-derived signals plays a role in renin secretion and blood pressure regulation |
| Q26784904 | Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders |
| Q37670437 | Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology |
| Q38678269 | Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies |
| Q36589155 | Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling |
| Q33551563 | Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology |
| Q42935249 | Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS. |
| Q49849747 | Optimized Phenotypic Biomarker Discovery and Confounder Elimination via Covariate-Adjusted Projection to Latent Structures from Metabolic Spectroscopy Data. |
| Q31120773 | PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data |
| Q27318763 | PRECOG: a tool for automated extraction and visualization of fitness components in microbial growth phenomics |
| Q53930058 | Pathway Analysis and Metabolites Identification by Metabolomics of Etiolation Substrate from Fresh-Cut Chinese Water Chestnut (Eleocharis tuberosa). |
| Q35296821 | Perspectives for Metabolomics in Human Nutrition: An Overview. |
| Q36473120 | Pharmacometabolomic Assessments of Atenolol and Hydrochlorothiazide Treatment Reveal Novel Drug Response Phenotypes |
| Q37822760 | Pharmacometabonomics as an effector for personalized medicine. |
| Q36691608 | Phenolic acid concentrations in plasma and urine from men consuming green or black tea and potential chemopreventive properties for colon cancer |
| Q34150453 | Phenomics: the next challenge |
| Q35902748 | Phenotypic Characterization Analysis of Human Hepatocarcinoma by Urine Metabolomics Approach |
| Q48270857 | Phthalates, perfluoroalkyl acids, metals and organochlorines and reproductive function: a multipollutant assessment in Greenlandic, Polish and Ukrainian men. |
| Q36492341 | Plasma Lipid Profiling in a Rat Model of Hepatocellular Carcinoma: Potential Modulation Through Quinolone Administration |
| Q36328994 | Potential Impact and Study Considerations of Metabolomics in Cardiovascular Health and Disease: A Scientific Statement From the American Heart Association |
| Q38193578 | Potential input from metabolomics for exploring and understanding the links between environment and health. |
| Q37994122 | Potential role of metabolomic approaches for Chinese medicine syndromes and herbal medicine |
| Q38059646 | Power of metabolomics in diagnosis and biomarker discovery of hepatocellular carcinoma |
| Q100737071 | Predicting human health from biofluid-based metabolomics using machine learning |
| Q56974325 | Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry |
| Q35028758 | Profiles of Microbial Fatty Acids in the Human Metabolome are Disease-Specific. |
| Q44322742 | Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption |
| Q62737150 | Proof of concept for quantitative urine NMR metabolomics pipeline for large-scale epidemiology and genetics |
| Q92702072 | Protective Effects of Dietary MUFAs Mediating Metabolites against Hypertension Risk in the Korean Genome and Epidemiology Study |
| Q38089179 | Proteomics and metabolomics in inflammatory bowel disease |
| Q39088285 | Proteomics: Technologies and Their Applications. |
| Q47652764 | Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technologies |
| Q37087386 | Quantitative UPLC-MS/MS analysis of the gut microbial co-metabolites phenylacetylglutamine, 4-cresyl sulphate and hippurate in human urine: INTERMAP Study |
| Q36094206 | Quantitative assessment of the impact of the gut microbiota on lysine epsilon-acetylation of host proteins using gnotobiotic mice |
| Q38110171 | Recent advances in metabolomics in neurological disease, and future perspectives |
| Q30874878 | Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for young hypertensive men. |
| Q36752430 | Regulation of Vascular and Renal Function by Metabolite Receptors |
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| Q39630826 | Relation of unprocessed, processed red meat and poultry consumption to blood pressure in East Asian and Western adults |
| Q63352850 | Relations between dairy product intake and blood pressure: the INTERnational study on MAcro/micronutrients and blood Pressure. |
| Q91936739 | Relationship of reduced glomerular filtration rate with alterations in plasma free amino acids and uric acid evaluated in healthy control and hypertensive subjects |
| Q47725373 | Reliability of plasma polar metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry. |
| Q58691893 | Response of Cisplatin Resistant Skov-3 Cells to [Pt(-Acac)(γ-Acac)(DMS)] Treatment Revealed by a Metabolomic ¹H-NMR Study |
| Q38633424 | Role of metabolic phenotyping in understanding obesity and related conditions in Gulf Co-operation Council countries. |
| Q30559827 | SPE-NMR metabolite sub-profiling of urine. |
| Q38323899 | Sample size calculation in metabolic phenotyping studies |
| Q41922553 | Semi-quantitative and structural metabolic phenotyping by direct infusion ion trap mass spectrometry and its application in genetical metabolomics |
| Q94554525 | Sexual Dimorphism of Metabolomic Profile in Arterial Hypertension |
| Q35193531 | Shrinkage of the human core microbiome and a proposal for launching microbiome biobanks. |
| Q33858968 | Significance of Microbiota in Obesity and Metabolic Diseases and the Modulatory Potential by Medicinal Plant and Food Ingredients |
| Q89219133 | Simultaneous quantification of straight-chain and branched-chain short chain fatty acids by gas chromatography mass spectrometry |
| Q37810160 | Spectroscopic and statistical methods in metabonomics |
| Q57975695 | Standard operating procedures for pre-analytical handling of blood and urine for metabolomic studies and biobanks |
| Q28083342 | Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review |
| Q30810580 | Statistical HOmogeneous Cluster SpectroscopY (SHOCSY): an optimized statistical approach for clustering of ¹H NMR spectral data to reduce interference and enhance robust biomarkers selection |
| Q30790493 | Statistical methods for the analysis of high-throughput metabolomics data |
| Q58045557 | Subset Optimization by Reference Matching (STORM): An Optimized Statistical Approach for Recovery of Metabolic Biomarker Structural Information from 1H NMR Spectra of Biofluids |
| Q43232007 | Symposium 2: Modern approaches to nutritional research challenges: Targeted and non-targeted approaches for metabolite profiling in nutritional research |
| Q28474093 | Systematic NMR analysis of stable isotope labeled metabolite mixtures in plant and animal systems: coarse grained views of metabolic pathways |
| Q34437046 | Systematic variations associated with renal disease uncovered by parallel metabolomics of urine and serum |
| Q57012121 | Systems Biology in Food and Nutrition Research |
| Q35619563 | Systems biology of host-microbe metabolomics |
| Q47647280 | Systems biology: Metabonomics |
| Q24288895 | Systems medicine: the future of medical genomics and healthcare |
| Q34078891 | Systems parasitology: effects of Fasciola hepatica on the neurochemical profile in the rat brain |
| Q28834334 | Systems-Wide High-Dimensional Data Acquisition and Informatics Using Structural Mass Spectrometry Strategies |
| Q96220346 | TMAO, a seafood-derived molecule, produces diuresis and reduces mortality in heart failure rats |
| Q36984097 | Targeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometry |
| Q37776403 | The Application of Metabonomics to Predict Drug-Induced Liver Injury |
| Q90460676 | The Association between Alcohol Consumption and Serum Metabolites and the Modifying Effect of Smoking |
| Q35711077 | The Extended Nutrigenomics - Understanding the Interplay between the Genomes of Food, Gut Microbes, and Human Host |
| Q39263759 | The Gut, Its Microbiome, and Hypertension. |
| Q91343733 | The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases |
| Q26739993 | The Metabolic Role of Gut Microbiota in the Development of Nonalcoholic Fatty Liver Disease and Cardiovascular Disease |
| Q37229051 | The Pakistan Risk of Myocardial Infarction Study: a resource for the study of genetic, lifestyle and other determinants of myocardial infarction in South Asia |
| Q40140466 | The Plasma and Serum Metabotyping of Hepatocellular Carcinoma in a Nigerian and Egyptian Cohort using Proton Nuclear Magnetic Resonance Spectroscopy. |
| Q38610340 | The Progress of Metabolomics Study in Traditional Chinese Medicine Research |
| Q64244255 | The Relationship between Platelet Count and Host Gut Microbiota: A Population-Based Retrospective Cross-Sectional Study |
| Q90813747 | The application of artificial neural networks in metabolomics: a historical perspective |
| Q53435133 | The application of micro-coil NMR probe technology to metabolomics of urine and serum. |
| Q91542623 | The association of fish consumption and its urinary metabolites with cardiovascular risk factors: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP) |
| Q37055585 | The association of plasma lactate with incident cardiovascular outcomes: the ARIC Study |
| Q34007629 | The blood exposome and its role in discovering causes of disease |
| Q38694550 | The choice of amniotic fluid in metabolomics for the monitoring of fetus health. |
| Q52363678 | The crucial role of multiomic approach in cancer research and clinically relevant outcomes. |
| Q26748672 | The effects of antibiotics on the microbiome throughout development and alternative approaches for therapeutic modulation |
| Q39561828 | The exposome in practice: Design of the EXPOsOMICS project. |
| Q35156452 | The food metabolome: a window over dietary exposure |
| Q42265319 | The gut microbiome in atherosclerotic cardiovascular disease. |
| Q34348985 | The gut microbiota, environment and diseases of modern society |
| Q37848454 | The host selects mucosal and luminal associations of coevolved gut microorganisms: a novel concept |
| Q26995303 | The human gut microbiome and body metabolism: implications for obesity and diabetes |
| Q46584685 | The human gut microbiome and its dysfunctions through the meta-omics prism |
| Q37216858 | The human gut microbiome: implications for future health care |
| Q24649671 | The human intestinal microbiome: a new frontier of human biology |
| Q33851068 | The human milk metabolome reveals diverse oligosaccharide profiles |
| Q35235820 | The impact of eating frequency and time of intake on nutrient quality and Body Mass Index: the INTERMAP Study, a Population-Based Study |
| Q34534064 | The impact of free or standardized lifestyle and urine sampling protocol on metabolome recognition accuracy |
| Q37475152 | The impact of new research technologies on our understanding of environmental causes of disease: the concept of clinical vulnerability |
| Q37590649 | The marriage of nutrigenomics with the microbiome: the case of infant-associated bifidobacteria and milk |
| Q91899358 | The metabolome: A key measure for exposome research in epidemiology |
| Q35701279 | The promise of metabolic phenotyping in gastroenterology and hepatology |
| Q51343204 | The relationship between aerobic fitness level and metabolic profiles in healthy adults. |
| Q38124828 | The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies. |
| Q35670842 | The serum metabolite response to diet intervention with probiotic acidified milk in irritable bowel syndrome patients is indistinguishable from that of non-probiotic acidified milk by 1H NMR-based metabonomic analysis |
| Q51766766 | The urinary phenolic acid profile varies between younger and older adults after a polyphenol-rich meal despite limited differences in in vitro colonic catabolism. |
| Q57956277 | The urinary proteome and metabonome differ from normal in adults with mitochondrial disease |
| Q40586088 | Total, insoluble and soluble dietary fibre intake in relation to blood pressure: the INTERMAP Study. |
| Q38269544 | Toward a road map for global -omics: a primer on -omic technologies |
| Q56430935 | Towards an Evolutionary Model of Animal-Associated Microbiomes |
| Q24289420 | Toxicogenomic profiling of chemically exposed humans in risk assessment |
| Q57064143 | Traceability of "Tuscan PGI" Extra Virgin Olive Oils by ¹H NMR Metabolic Profiles Collection and Analysis |
| Q58040335 | UPLC-MS metabolic profiling of second trimester amniotic fluid and maternal urine and comparison with NMR spectral profiling for the identification of pregnancy disorder biomarkers |
| Q56983809 | Ultra-Performance Liquid Chromatography-High-Resolution Mass Spectrometry and Direct Infusion-High-Resolution Mass Spectrometry for Combined Exploratory and Targeted Metabolic Profiling of Human Urine |
| Q37914111 | Ultra-performance liquid chromatography coupled to mass spectrometry as a sensitive and powerful technology for metabolomic studies |
| Q34625918 | Unbiased approaches to biomarker discovery in neurodegenerative diseases |
| Q43519636 | Unraveling the concentration-dependent metabolic response of Pseudomonas sp. HF-1 to nicotine stress by ¹H NMR-based metabolomics |
| Q61801245 | Untargeted Mass Spectrometry Lipidomics identifies correlation between serum sphingomyelins and plasma cholesterol |
| Q30277666 | Urinary N-methylnicotinamide and β-aminoisobutyric acid predict catch-up growth in undernourished Brazilian children |
| Q33637950 | Urinary metabolic phenotyping the slc26a6 (chloride-oxalate exchanger) null mouse model |
| Q33888932 | Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother-child cohort study |
| Q29380743 | Urinary metabolic signatures of human adiposity |
| Q50305926 | Urinary p-cresol is elevated in young French children with autism spectrum disorder: a replication study. |
| Q51172157 | Urine Metabolomics in Hypertension Research. |
| Q36144160 | Urine metabolomics analysis for biomarker discovery and detection of jaundice syndrome in patients with liver disease |
| Q37772447 | Using metabolomic analysis to understand inflammatory bowel diseases. |
| Q30832947 | Validated and predictive processing of gas chromatography-mass spectrometry based metabolomics data for large scale screening studies, diagnostics and metabolite pattern verification |
| Q34119409 | Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes |
| Q38283650 | Volatile compound fingerprinting of mixed-culture fermentations. |
| Q38393076 | Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics |
| Q28754891 | Worlds within worlds: evolution of the vertebrate gut microbiota |
| Q37912165 | Xenobiotic metabolomics: major impact on the metabolome |
| Q57812685 | ¹H NMR Spectroscopy and MVA to Evaluate the Effects of Caulerpin-Based Diet on Lipid Profiles |
| Q37855850 | ¹H NMR-based metabonomics for investigating diabetes |
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