The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods
Open accessAbstract
Background The lack of robust biological markers of dietary exposure hinders the quantitative understanding of causal relations between diet and health.Objective We aimed to develop an efficient procedure to discover metabolites in urine that may have future potential as biomarkers of acute exposure to foods of high public health importance.Design Twenty-four participants were provided with a test breakfast in which the cereal component of a standardized breakfast was replaced by 1 of 4 foods of high public health importance; 1.5-, 3-, and 4.5-h postprandial urine samples were collected. Flow infusion electrospray-ionization mass spectrometry followed by supervised multivariate data analysis was used to discover signals resulting from consumption of each test food.Results Fasted-state urine samples provided a universal comparator for food biomarker lead discovery in postprandial urine. The filtering of data features associated with consumption of the common components of the standardized breakfast improved discrimination models and readily identified metabolites that showed consumption of specific test foods. A combination of trimethylamine-N-oxide and 1-methylhistidine was associated with salmon consumption. Novel ascorbate derivatives were discovered in urine after consumption of either broccoli or raspberries. Sulphonated caffeic acid and sulphonated methyl-epicatechin concentrations increased dramatically after consumption of raspberries.Conclusions This biomarker lead discovery strategy can identify urinary metabolites associated with acute exposure to individual foods. Future studies are required to validate the specificity and utility of potential biomarkers in an epidemiologic context.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Direct flow injection-MS has also been used (82,114), which offers the advantage of high-throughput analysis, as would be required for large-scale epidemiologic studies.”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [82]
Citations
Cites
Fruit and vegetable intake and risk of major chronic disease
Hung, H.-C., Joshipura, K. J., Jiang, R., Hu, F. B., Hunter, D., Smith-Warner, S. A., Colditz, G. A., Rosner, B., Spiegelman, D., & Willett, W. C. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh296 · Cited by 1,327
Hooper, L., Kroon, P. A., Rimm, E. B., Cohn, J. S., Harvey, I., Le Cornu, K. A., Ryder, J. J., Hall, W. L., & Cassidy, A. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.1.38 · Cited by 1,097
Human metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054
Carr, A. C., & Frei, B. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.6.1086 · Cited by 940
Bingham, S. A., Gill, C., Welch, A., Day, K., Cassidy, A., Khaw, K. T., Sneyd, M. J., Key, T. J. A., Roe, L., & Day, N. E. (1994) · British Journal of Nutrition · doi:10.1079/bjn19940064 · Cited by 749
Bingham, S. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s137 · Cited by 634
Scalbert, A., Brennan, L., Fiehn, O., Hankemeier, T., Kristal, B. S., van Ommen, B., Pujos-Guillot, E., Verheij, E., Wishart, D., & Wopereis, S. (2009) · Metabolomics · doi:10.1007/s11306-009-0168-0 · Cited by 565
Heidemann, C., Schulze, M. B., Franco, O. H., van Dam, R. M., Mantzoros, C. S., & Hu, F. B. (2008) · Circulation · doi:10.1161/circulationaha.108.771881 · Cited by 509
Spencer, J., Mohsen, M. M. A. E., Minihane, A., & Mathers, J. (2007) · British Journal of Nutrition · doi:10.1017/s0007114507798938 · Cited by 481
Self-citationRiihinen, K., Kamal‐Eldin, A., & Törrönen, A. (2004) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf049450r · Cited by 466
Biomarkers in nutritional epidemiology: applications, needs and new horizons
Jenab, M., Slimani, N., Bictash, M., Ferrari, P., & Bingham, S. A. (2009) · Human Genetics · doi:10.1007/s00439-009-0662-5 · Cited by 448
Shaham, O., Wei, R., Wang, T. J., Ricciardi, C., Lewis, G. D., Vasan, R. S., Carr, S. A., Thadhani, R., Gerszten, R. E., & Mootha, V. K. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.50 · Cited by 399
Susceptibility of Human Metabolic Phenotypes to Dietary Modulation
Stella, C., Beckwith-Hall, B., Cloarec, O., Holmes, E., Lindon, J. C., Powell, J., van der Ouderaa, F., Bingham, S., Cross, A. J., & Nicholson, J. K. (2006) · Journal of Proteome Research · doi:10.1021/pr060265y · Cited by 376
CARNITINE METABOLISM AND ITS REGULATION IN MICROORGANISMS AND MAMMALS
Rebouche, C. J., & Seim, H. (1998) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.18.1.39 · Cited by 362
Chlorogenic Acid Compounds from Coffee Are Differentially Absorbed and Metabolized in Humans ,
Monteiro, M., Farah, A., Perrone, D., Trugo, L. C., & Donangelo, C. (2007) · The Journal of Nutrition · doi:10.1093/jn/137.10.2196 · Cited by 324
Zafrilla, P., Ferreres, F., & Tomás-Barberán, F. A. (2001) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf010192x · Cited by 315
Piskuła, M. K., & Terao, J. (1998) · Journal of Nutrition · doi:10.1093/jn/128.7.1172 · Cited by 312
Dietary patterns and breast cancer risk: a systematic review and meta-analysis
Brennan, S., Cantwell, M. M., Cardwell, C. R., Velentzis, L. S., & Woodside, J. V. (2010) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28796 · Cited by 298
Walsh, M. C., Brennan, L., Malthouse, J. P. G., Roche, H. M., & Gibney, M. J. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.3.531 · Cited by 297
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297
Heinzmann, S. S., Brown, I. J., Chan, Q., Bictash, M., Dumas, M.-E., Kochhar, S., Stamler, J., Holmes, E., Elliott, P., & Nicholson, J. K. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29672 · Cited by 271
Evidence of different metabolic phenotypes in humans
Assfalg, M., Bertini, I., Colangiuli, D., Luchinat, C., Schäfer, H., Schütz, B., & Spraul, M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705685105 · Cited by 256
Ascorbate Metabolism and Its Regulation in Animals
Bánhegyi, G., Braun, L., Csala, M., Puskás, F., & Mandl, J. (1997) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(97)00062-2 · Cited by 249
Which Plasma Antioxidants Are Most Related to Fruit and Vegetable Consumption?
Block, G., Norkus, E. P., Hudes, M. L., Mandel, S., & Helzlsouer, K. J. (2001) · American Journal of Epidemiology · doi:10.1093/aje/154.12.1113 · Cited by 186
Development of Food Intake Patterns for the MyPyramid Food Guidance System
Britten, P., Marcoe, K., Yamini, S., & Davis, C. A. (2006) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2006.08.007 · Cited by 183
Urpí-Sardà, M., Monagas, M., Khan, N., Llorach, R., Lamuela-Raventós, R. M., Jáuregui, O., Estruch, R., Izquierdo-Pulido, M., & Andrés‐Lacueva, C. (2009) · Journal of Chromatography A · doi:10.1016/j.chroma.2009.07.058 · Cited by 182
Kawai, T., & Sakaguchi, M. (1996) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408399609527725 · Cited by 182
Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods
Mennen, L. I., Sapinho, D., Ito, H., Bertrais, S., Galan, P., Hercberg, S., & Scalbert, A. (2006) · British Journal Of Nutrition · doi:10.1079/bjn20061808 · Cited by 174
Draper, J., Enot, D. P., Parker, D., Beckmann, M., Snowdon, S., Lin, W., & Zubair, H. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-227 · Cited by 169
Self-citationLloyd, A. J., Beckmann, M., Favé, G., Mathers, J. C., & Draper, J. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511001164 · Cited by 152
Self-citationJia, L., Liu, X., Bai, Y. Y., Li, S. H., Sun, K., He, C., & Hui, R. (2010) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28202 · Cited by 152
Mullen, W., Boitier, A., Stewart, A. J., & Crozier, A. (2004) · Journal of Chromatography A · doi:10.1016/j.chroma.2004.08.117 · Cited by 149
Beckmann, M., Parker, D., Enot, D. P., Duval, E., & Draper, J. (2008) · Nature Protocols · doi:10.1038/nprot.2007.500 · Cited by 136
Self-citationBiomarkers of meat intake and the application of nutrigenomics
Dragsted, L. O. (2009) · Meat Science · doi:10.1016/j.meatsci.2009.08.028 · Cited by 131
Dehghan, M., Akhtar‐Danesh, N., McMillan, C. R., & Thabane, L. (2007) · Nutrition Journal · doi:10.1186/1475-2891-6-41 · Cited by 118
Enot, D. P., Lin, W., Beckmann, M., Parker, D., Overy, D. P., & Draper, J. (2008) · Nature Protocols · doi:10.1038/nprot.2007.511 · Cited by 114
Self-citationMullen, W., Boitier, A., STEWART, A., et al. (2004) · Journal of Chromatography A · doi:10.1016/s0021-9673(04)01476-1 · Cited by 111
Aristoy, M., & Toldrá, F. (2003) · Meat Science · doi:10.1016/j.meatsci.2003.10.008 · Cited by 106
Sang, S., Lee, M., Yang, I., Buckley, B., & Yang, C. S. (2008) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.3546 · Cited by 94
Tribe, D. E., & Gordon, J. G. (1955) · British Journal Of Nutrition · doi:10.1079/bjn19550003 · Cited by 87
Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?
Favé, G., Beckmann, M., Draper, J., & Mathers, J. C. (2009) · Genes & Nutrition · doi:10.1007/s12263-009-0120-y · Cited by 79
Self-citationAssessment of dietary intake: NuGO symposium report
Penn, L., Boeing, H., Boushey, C. J., Dragsted, L. O., Kaput, J., Scalbert, A., Welch, A. A., & Mathers, J. C. (2010) · Genes & Nutrition · doi:10.1007/s12263-010-0175-9 · Cited by 78
Self-citationAnserine and carnosine determination in meat samples by pure micellar liquid chromatography
Gil‐Agustí, M., Esteve‐Romero, J. S., & Carda‐Broch, S. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.11.075 · Cited by 76
Favé, G., Beckmann, M., Lloyd, A. J., Zhou, S., Harold, G., Lin, W., Tailliart, K., Xie, L., Draper, J., & Mathers, J. C. (2011) · Metabolomics · doi:10.1007/s11306-011-0289-0 · Cited by 72
Self-citationAtkinson, W., Downer, P., Lever, M., Chambers, S. T., & George, P. M. (2007) · European Journal of Nutrition · doi:10.1007/s00394-007-0684-5 · Cited by 54
Distribution of free l-histidine and related dipeptides in the muscle of fresh-water fishes
Abe, H. (1983) · Comparative Biochemistry and Physiology Part B Comparative Biochemistry · doi:10.1016/0305-0491(83)90167-0 · Cited by 53
Abe, H., Okuma, E., Hideo, S., Akio, M., & YOSHIUE, S. (1993) · International Journal of Biochemistry · doi:10.1016/0020-711x(93)90074-o · Cited by 48
Holmes, M. D., Powell, I. J., Campos, H., Stampfer, M. J., Giovannucci, E. L., & Willett, W. C. (2007) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602641 · Cited by 48
Beckmann, M., Enot, D. P., Overy, D. P., Scott, I. M., Jones, P. G., Allaway, D., & Draper, J. (2009) · British Journal Of Nutrition · doi:10.1017/s000711450999300x · Cited by 39
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The food metabolome: a window over dietary exposure
Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., van der Hooft, J. J., & Wishart, D. S. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076133 · Cited by 519
Self-citationUse of Metabolomics in Improving Assessment of Dietary Intake
Guasch‐Ferré, M., Bhupathiraju, S. N., & Hu, F. B. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2017.272344 · Cited by 327
Biomarkers of Nutrition and Health: New Tools for New Approaches
Picó, C., Serra, F., Rodríguez, A. M., Keijer, J., & Palou, A. (2019) · Nutrients · doi:10.3390/nu11051092 · Cited by 287
García‐Pérez, I., Posma, J. M., Gibson, R., Chambers, E. S., Hansen, T. H., Vestergaard, H., Hansen, T. F., Beckmann, M., Pedersen, O. B., Elliott, P., et al. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30419-3 · Cited by 251
Self-citationBenefits of the Mediterranean diet: Epidemiological and molecular aspects
Serra‐Majem, L., Román‐Viñas, B., Sánchez‐Villegas, A., Guasch‐Ferré, M., Corella, D., & Vecchia, C. L. (2019) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2019.06.001 · Cited by 259
Metadata
- Authors
- Lloyd, A. J., Favé, G., Beckmann, M., Lin, W., Tailliart, K., Xie, L., Mathers, J. C., & Draper, J.
- Affiliations
- Aberystwyth University (GB)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 94
- Issue
- 4
- Pages
- 981-991
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2096891019
- Cited by
- 130
- References
- 48
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 16 · 2019: 13 · 2018: 12 · 2017: 15 · 2016: 13 · 2015: 7 · 2014: 13 · 2013: 19 · 2012: 9
- FWCI
- 5.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- urinary metabolites, salmon consumption, trimethylamine N-oxide, 1-methylhistidine, broccoli, raspberry, biomarker discovery
- MeSH terms
- Animals, Diet, Food, Humans, Kinetics, Gas Chromatography-Mass Spectrometry, ROC Curve, Biomarkers, Multivariate Analysis, Urinalysis, Postprandial Period, Spectrometry, Mass, Electrospray Ionization, Metabolomics, Metabolome, Data Mining
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review