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
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–130 of 130
Gowda, G. A. N., Alvarado, L. Z., & Raftery, D. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802928-2.00005-9 · Cited by 7
Nutritional Phenotype Databases and Integrated Nutrition: From Molecules to Populations
Gibney, M. J., McNulty, B. A., Ryan, M. F., & Walsh, M. C. (2014) · Advances in Nutrition · doi:10.3945/an.113.005496 · Cited by 6
Naturally Occurring Antioxidants
Ronzio, R. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-43044-9.00097-2 · Cited by 6
An Overview of Metabolic Phenotyping and Its Role in Systems Biology
Holmes, E. C., Wilson, I. D., & Lindon, J. C. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812293-8.00001-3 · Cited by 6
Vegetable Signatures Derived from Human Urinary Metabolomic Data in Controlled Feeding Studies
Lynn, K., Cheng, M., Yang, H., Liang, Y.-J., Kang, M.-J., Chen, F.-L., Shiao, M., & Pan, W. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00470 · Cited by 3
Lloyd, A. J., Zubair, H., Willis, N. D., Wilson, T., Xie, L., Tailliart, K., Chambers, E. S., García‐Pérez, I., Holmes, E. C., Frost, G. S., et al. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116002639 · Cited by 3
Self-citationDevelopment of a biomarker for sucrose intake based on metabolomics
Joosen, A. M. C. P., Clarke, M., Lodge, J. K., Mugridge, O., Frost, G. S., Engel, B., Taillart, K., Lloyd, A. J., Beckmann, M., & Draper, J. (2012) · Proceedings of The Nutrition Society · doi:10.1017/s0029665112002455 · Cited by 3
Self-citationEffects of Mediterranean Diet on the Metabolome
Martinez, J. A., Keun, H. C., & Siskos, A. (2016) · Springer eBooks · doi:10.1007/978-3-319-27969-5_10 · Cited by 3
Ms‐Based Metabolomics in Nutrition and Health Research
Ibáñez, C., & Simó, C. (2013) · Wiley eBooks · doi:10.1002/9781118537282.ch9 · Cited by 3
Andueza, N., Muñoz‐Prieto, D., Romo‐Hualde, A., Cuervo, M., & Navas‐Carretero, S. (2024) · Food Science & Nutrition · doi:10.1002/fsn3.4226 · Cited by 4
Daily Consumption of Kombucha Influences the Urinary and Plasma Metabolome in a Healthy Human Cohort
Lloyd, A. J., Nash, R. J., Taylor, A. N. W., Warren‐Walker, A., Davies, C., Martin, P. M., Moron‐Garcia, O. M., Watson, A., Lyons, L., Pavey, M. J., et al. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.71020 · Cited by 3
Self-citationUrinary Markers in Nutritional Studies
Price, M. Y., & Preedy, V. R. (2015) · Biomarkers in disease · doi:10.1007/978-94-007-7696-8_29 · Cited by 2
Food Constituent and Food Metabolite Databases
Foroutan, A., & Wishart, D. S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-100596-5.22772-8 · Cited by 2
Ocké, M., & Foster, E. (2017) · doi:10.1002/9781119141150.ch3 · Cited by 2
Population diet and stress estimates using wastewater based epidemiology
Choi, P. M. (2020) · The University of Queensland · doi:10.14264/uql.2020.788 · Cited by 2
Metabolic signatures related to diet in human urine and blood specimens
Lindelöf, M. (2012)
Human samples for health assessments
Whitfield, P. D., & Doherty, M. K. (2013) · Elsevier eBooks · doi:10.1533/9780857098818.2.83
Mathers, J. C., Hill, T. R., Foster, E., Adamson, A., Valentine, R. A., & Rugg-Gunn, A. J. (2014) · Nutrition Bulletin · doi:10.1111/nbu.12102
Self-citationSivasankaran, S. (2013) · CRC Press eBooks · doi:10.1201/b14663-20
Beckmann, M., Lloyd, A. J., Haldar, S., Seal, C. J., Brandt, K., Mathers, J. C., & Draper, J. (2013)
Self-citationA role for nutrition in healthy brain aging
Zamroziewicz, M. K. (2017) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Janssen, H. G., Davies, I. G., Richardson, L. D., Lloyd, A. J., Wilson, T., Beckmann, M., Draper, J., & Stevenson, L. (2018) · Proceedings of The Nutrition Society · doi:10.1017/s0029665118002380
Self-citationMetabolomic Approaches in Vitamin E Research
Lodge, J. K. (2019) · Springer eBooks · doi:10.1007/978-3-030-05315-4_8
Urinary Markers in Nutritional Studies
Price, M. Y., & Preedy, V. R. (2014) · Springer eBooks · doi:10.1007/978-94-007-7740-8_29-1
Intararuchikul, T. (2016) · Chula Digiverse · doi:10.58837/chula.the.2016.1598
Additional file 1 of Food intake biomarkers for berries and grapes
Ulaszewska, M., Garcia-Aloy, M., Vázquez-Manjarrez, N., Soria-Florido, M. T., Llorach, R., Mattivi, F., & Manach, C. (2020) · Figshare · doi:10.6084/m9.figshare.12997204
Delabrière, A. (2018) · theses.fr (ABES) · doi:10.70675/f4a2e680zfdaaz4d34za6f7z4644253ae172
Lefèvre‐Arbogast, S. (2019) · theses.fr (ABES) · doi:10.70675/6915e632z663fz4caaz9c7az455ad25755da
A metabolomic exploration of processed meat intake : dietary biomarkers and metabolic effects
Wedekind, R. (2020) · theses.fr (ABES) · doi:10.70675/9feb21c7z42f5z4b13z84edz05b650b15f0f
You, Z., Guo, A., Shi, C., Deng, J., Yao, J., Tu, J., Yang, J., Xing, S., & Fang, M. (2026) · Analytical Chemistry · doi:10.1021/acs.analchem.6c00179
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