Abstract
Aoife O’Gorman, Helena Gibbons, Lorraine Brennan
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
europepmc
Confidence 96%
unpaywall
Confidence 95%
openalex
Confidence 95%
No local reference links have been materialized yet.
10.1016/j.jbiotec.2006.02.014
10.1016/j.jbiotec.2006.02.014
Diet, nutrition and the prevention of excess weight gain and obesity
2004
Bias in dietary-report instruments and its implications for nutritional epidemiology
10.1079/phn2002383 · 2002
Limitations of the various methods for collecting dietary intake data
10.1159/000177635 · 1991
Energy expenditure measured by doubly labeled water, activity recall, and diet records in the rural elderly
10.1016/s0899-9007(02)00804-3 · 2002
Validity of self-reported energy intake in lean and obese young women, using two nutrient databases, compared with total energy expenditure assessed by doubly labeled water
10.1038/sj.ejcn.1601249 · 2001
Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records
10.1079/bjn19940064 · 1994
Assessment of dietary intake: NuGO symposium report
10.1007/s12263-010-0175-9 · 2010
Biomarkers of the intake of dietary polyphenols: strengths, limitations and application in nutrition research
10.1017/s0007114507798938 · 2008
doaj
Confidence 92%
datacite
Confidence 0%
Biomarkers in nutritional epidemiology: applications, needs and new horizons
10.1007/s00439-009-0662-5 · 2009
Biomarkers in nutritional epidemiology
10.1079/phn2002368 · 2002
Biologic and methodologic issues for nutritional biomarkers
10.1093/jn/133.3.875s · 2003
Application of phenolic biomarkers in epidemiology: past, present, and future
10.1021/jf204742e · 2012
Biomarkers of nutritional exposure and nutritional status: An overview
10.1093/jn/133.3.873s · 2003
Urinary sucrose and fructose as biomarkers for sugar consumption
10.1158/1055-9965.epi-04-0827 · 2005
Biomarkers of fruit and vegetable intake in human intervention studies: A systematic review
10.1080/10408398.2010.482217 · 2011
Metabolic profiling strategy for discovery of nutritional biomarkers: proline and betaine as a marker of citrus consumption
10.3945/ajcn.2010.29672 · 2010
10.1016/j.tplants.2004.07.004
10.1016/j.tplants.2004.07.004
10.1023/a:1013713905833
10.1023/a:1013713905833
Metabolomics and systems biology: making sense of the soup
10.1016/j.mib.2004.04.012 · 2004
10.1016/s0031-9422(02)00708-2
10.1016/s0031-9422(02)00708-2
10.1007/s11306-005-1102-8
10.1007/s11306-005-1102-8
10.1038/nrd1157
10.1038/nrd1157
Assessment of analutical reproducibility of 1H NMR spectroscopy based metabonomics for large scale epidemiological research: the INTERMAP study
10.1021/ac0517085 · 2006
Measurement of dietary exposure a challenging problem which may be overcome thanks to metabolomics?
10.1007/s12263-009-0120-y · 2009
On using principal components before separating a mixture of two multivariate normal distributions
10.2307/2347949 · 1983
10.1002/0471721182
10.1002/0471721182 · 2000
Probabilistic principal component analysis
10.1111/1467-9868.00196 · 1999
Probabilistic principal component analysis for metabolomic data
10.1186/1471-2105-11-571 · 2010
Assessment of PLSDA cross validation
10.1007/s11306-007-0099-6 · 2008
10.1023/a:1010933404324
10.1023/a:1010933404324
Prediction of breast cancer by profiling urinary RNA metabolites using Support Vector Machine-based feature selection
10.1186/1471-2407-9-104 · 2009
A novel R-package graphic user for the analysis of metabonomic profiles
10.1186/1471-2105-10-363 · 2009
Bioinformatics tools for mass spectrometry-based metabolomic data processing and analysis
10.2174/157489312799304431 · 2012
Knowledge discovery in metabolomics: an overview of MS data handling
10.1002/jssc.200900609 · 2010
Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods
10.3945/ajcn.111.017921 · 2011
Identification of human urinary biomarkers of cruciferous vegetable consumption by metabonomic profiling
10.1021/pr200326k · 2011
Variation in the human lipidome associated with coffee consumption as revealed by quantitative targeted metabolomics
10.1002/mnfr.200900116 · 2009
Metabolite profiling of hydroxycinnamate derivatives in plasma and urine after the ingestion of coffee by humans: identification of biomarkers of coffee consumption
10.1124/dmd.109.028019 · 2009
Flavanoid metabolites in human plasma and urine after the consumption of red onions; analysis by liquid chromatography with photodiode array and full scan tandem mass spectrometric detection
10.1016/s0021-9673(04)01476-1 · 2004
Questionnaire-based self-reported nutrition habits associate with serum metabolism revealed by quantitative targeted metabolomics
10.1007/s10654-010-9524-7 · doi-reference
Chemometric strategies to assess metabonomic imprinting of food habits in epidemiological studies
10.1016/j.chemolab.2010.06.001 · doi-reference
Pharmacokinetics of gallic acid and its relative bioavailability from tea in healthy humans
10.1093/jn/131.4.1207 · doi-reference
Novel biomarkers of the metabolism of caffeic acid derivatives in vivo
10.1016/s0891-5849(01)00506-8 · doi-reference
Phenolic metabolites as biomarkers for tea- and coffee-derived polyphenol exposure in human subjects
10.1079/bjn20031046 · doi-reference
Analysis of catechins from green and black tea in humans: a specific and sensitive colorimetric assay of total catechins in biological fluids
10.3109/09637489709028587 · doi-reference
Gallic acid metabolites are markers of black tea in humans
10.1021/jf000089s · doi-reference
Absorption and antioxidant effects of quercetin from onions, in man
10.1038/sj.ejcn.1600682 · doi-reference
Fruit and vegetables: Think variety, go ahead, eat!
10.1093/ajcn/87.1.5 · doi-reference
Is plasma vitamin C an appropriate marker of vitamin C intake? A systematic review and meta-analysis
10.1186/1475-2891-6-41 · doi-reference
INTERMAP: background, aims, design, methods and descriptive statistics (dietary)
10.1038/sj.jhh.1001603 · doi-reference
Assessment of the effect of high or low protein diet on the human urine metabolome as measured by NMR
10.3390/nu4020112 · doi-reference
Urinary excretion of 1-methylhistidine: a qualitative indicator of exogenous 3-methylhistidine and intake of meats from various sources
10.1016/0026-0495(87)90245-9 · doi-reference
Biomarkers of meat intake and the application of nutrigenomics
10.1016/j.meatsci.2009.08.028 · doi-reference
Urinary excretion of methylamines in men with varying intake of fish from the Baltic sea
10.1080/15287399409531853 · doi-reference
Nuclear magnetic resonance spectroscopic based studies of the metabolism of black tea polyphenols in humans
10.1021/jf048439o · doi-reference
Metabonomics Approach To Determine Metabolic Differences between Green Tea and Black Tea Consumption
10.1021/jf061016x · doi-reference
Structural Elucidation and Quantification of Phenolic Conjugates Present in Human Urine after Tea Intake
10.1021/ac3017339 · doi-reference
Consumption of both black tea and green tea results in an increase in the excretion of hippuric acid into urine
10.1093/ajcn/81.1.256s · doi-reference
First identification of dimethoxycinnamic acids in human plasma after coffee intake by liquid chromatography-mass spectrometry
10.1016/j.chroma.2010.11.076 · doi-reference
Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption
10.1017/s0007114511001164 · doi-reference
Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods
10.1079/bjn20061808 · doi-reference
Influence of feeding on metabolite excretion evidenced by urine 1H NMR spectral profiles: a comparison between subjects living in Rome and subjects living at arctic latitudes (Svaldbard)
10.1016/s0009-8981(98)00132-6 · doi-reference
Metabonomics, dietary influences and cultural differences: a 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects
10.1016/j.jpba.2004.08.002 · doi-reference
Validation of 1H NMR spectroscopy as an analytical tool for methylamine metabolites in urine
10.1016/j.cca.2005.09.004 · doi-reference
10.1038/nature06882
10.1038/nature06882 · doi-reference
Hydroxyproline-containing dipeptides and tripeptides quantified at high concentration in human blood after oral administration of gelatin hydrolysate
10.3109/09637480903257711 · doi-reference
Heterocyclic aromatic amines in human urine following a fried meat meal
10.1016/s0278-6915(97)00112-9 · doi-reference
Excretion of the N2-glucuronide conjugate of 2-hydroxyamino-1-methyl-6-phenylimidazo[4,5–6] pyridine and its relationship to CYP1A2 and NAT2 activity levels in humans
10.1093/carcin/23.5.831 · doi-reference
PhIP metabolites in human urine after consumption of well-cooked chicken
10.1016/j.jchromb.2003.09.032 · doi-reference
2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) level in human hair as biomarkers for dietary grilled/stir-fried meat and fish intake
10.1016/j.mrgentox.2005.09.008 · doi-reference
Urinary 1-methylhistidine is a marker of meat consumption in black and white California seventh-day adventists
10.1093/aje/152.8.752 · doi-reference
10.1021/jf047934h
10.1021/jf047934h · doi-reference
An NMR-based metabonomic investigation on effects of milk and meat protein diets given to 8-year-old boys
10.1017/s0007114507450322 · doi-reference
10.1007/s00216-009-3338-z
10.1007/s00216-009-3338-z · doi-reference
Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies1–3
10.3945/ajcn.110.000950 · doi-reference
Urinary biomarkers of meat consumption
10.1158/1055-9965.epi-11-0048 · doi-reference
Susceptibility of human metabobolic phenotypes to dietary modulation
10.1021/pr060265y · doi-reference