The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption
Open accessAbstract
Background New food biomarkers are needed to objectively evaluate the effect of diet on health and to check adherence to dietary recommendations and healthy eating patterns.Objective We developed a strategy for food biomarker discovery, which combined nutritional intervention with metabolic phenotyping and biomarker validation in a large-scale epidemiologic study.Design We administered a standardized diet to 8 individuals and established a putative urinary biomarker of fruit consumption by using (1)H nuclear magnetic resonance (NMR) spectroscopic profiling. The origin of the biomarker was confirmed by using targeted NMR spectroscopy of various fruit. Excretion kinetics of the biomarker were measured. The biomarker was validated by using urinary NMR spectra from UK participants of the INTERMAP (International Collaborative Study of Macronutrients, Micronutrients, and Blood Pressure) (n = 499) in which citrus consumption was ascertained from four 24-h dietary recalls per person. Finally, dietary patterns of citrus consumers (n = 787) and nonconsumers (n = 1211) were compared.Results We identified proline betaine as a putative biomarker of citrus consumption. High concentrations were observed only in citrus fruit. Most proline betaine was excreted < or =14 h after a first-order excretion profile. Biomarker validation in the epidemiologic data showed a sensitivity of 86.3% for elevated proline betaine excretion in participants who reported citrus consumption and a specificity of 90.6% (P < 0.0001). In comparison with noncitrus consumers, citrus consumers had lower intakes of fats, lower urinary sodium-potassium ratios, and higher intakes of vegetable protein, fiber, and most micronutrients.Conclusion The biomarker identification and validation strategy has the potential to identify biomarkers for healthier eating patterns associated with a reduced risk of major chronic diseases. The trials were registered at clinicaltrials.gov as NCT01102049 and NCT01102062.
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
“Metabolites such as S-methyl-L-cysteine sulfoxide or proline betaine as biomarkers of cruciferous vegetables or citrus fruit, respectively, could be identified in NMR studies on the basis of their characteristic chemical shifts (Table 3) (80,84).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [80]
In the citing paper
“For example, many studies have been conducted with oranges (Table 3), but a broad coverage of all citrus and many other fruit as well as kinetic studies have been necessary to interpret proline betaine as a short-term marker of citrus that is dominated by orange and orange juice intake (80).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [80]
Citations
Cites
Basic principles of ROC analysis
Metz, C. E. (1978) · Seminars in Nuclear Medicine · doi:10.1016/s0001-2998(78)80014-2 · Cited by 6,122
A Clinical Trial of the Effects of Dietary Patterns on Blood Pressure
Appel, L. J., Moore, T. J., Obarzanek, E., Vollmer, W. M., Svetkey, L. P., Sacks, F. M., Bray, G. A., Vogt, T. M., Cutler, J. A., Windhauser, M. M., et al. (1997) · New England Journal of Medicine · doi:10.1056/nejm199704173361601 · Cited by 5,981
Sacks, F. M., Svetkey, L. P., Vollmer, W. M., Appel, L. J., Bray, G. A., Harsha, D., Obarzanek, E., Conlin, P. R., Miller, E. R., Simons-Morton, D. G., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200101043440101 · Cited by 5,638
Nicholson, J. K., Lindon, J. C., & Holmes, E. C. (1999) · Xenobiotica · doi:10.1080/004982599238047 · Cited by 3,991
Self-citationDietary Reference Intakes for Vitamin C, Vitamin E, Selenium, and Carotenoids
Compounds, P. O. D. A. A. R., Nutrients, S. O. U. R. L. O., Intakes, S. O. I. A. U. O. D. R., Standing Committee on the Scientific Evaluation of Dietary Reference Intakes, Food and Nutrition Board, & Institute of Medicine (2000) · doi:10.17226/9810 · Cited by 2,034
Dieterle, F., Ross, A., Schlotterbeck, G., & Senn, H. (2006) · Analytical Chemistry · doi:10.1021/ac051632c · Cited by 1,772
The Effect of Fruit and Vegetable Intake on Risk for Coronary Heart Disease
Joshipura, K. J., Hu, F. B., Manson, J. E., Stampfer, M. J., Rimm, E. B., Speizer, F. E., Colditz, G., Ascherio, A., Rosner, B., Spiegelman, D., et al. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-12-200106190-00010 · Cited by 1,396
Mente, A., de Koning, L., Shannon, H. S., & Anand, S. S. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.38 · Cited by 1,267
Epidemiologic evidence of the protective effect of fruit and vegetables on cancer risk
Ríboli, E., & Norat, T. (2003) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.3.559s · Cited by 1,173
Appel, L. J., Sacks, F. M., Carey, V. J., Obarzanek, E., Swain, J. F., Miller, E. R., Conlin, P. R., Erlinger, T. P., Rosner, B. A., Laranjo, N. M., et al. (2005) · JAMA · doi:10.1001/jama.294.19.2455 · Cited by 1,170
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
Wastewater-based epidemiology biomarkers: Past, present and future
Choi, P. M., Tscharke, B. J., Donner, E., O'Brien, J. W., Grant, S. C., Kaserzon, S. L., Mackie, R., O'Malley, E., Crosbie, N. D., Thomas, K. V., et al. (2018) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.06.004 · Cited by 486
Fingerprinting food: current technologies for the detection of food adulteration and contamination
Ellis, D. I., Brewster, V. L., Dunn, W. B., Allwood, J. W., Golovanov, A. P., & Goodacre, R. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35138b · Cited by 441
Use 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
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297
The biology of ergothioneine, an antioxidant nutraceutical
Borodina, I., Kenny, L. C., McCarthy, C. M., Paramasivan, K., Pretorius, E., Roberts, T. J., van der Hoek, S. A., & Kell, D. B. (2020) · Nutrition Research Reviews · doi:10.1017/s0954422419000301 · Cited by 296
Dietary biomarkers: advances, limitations and future directions
Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J. T., Serrano, E. L., & Davy, B. M. (2012) · Nutrition Journal · doi:10.1186/1475-2891-11-109 · Cited by 280
Computational and statistical analysis of metabolomics data
Ren, S., Hinzman, A. A., Kang, E. L., Szczesniak, R. D., & Lu, L. J. (2015) · Metabolomics · doi:10.1007/s11306-015-0823-6 · Cited by 282
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-citationNutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies
Ulaszewska, M., Weinert, C. H., Trimigno, A., Portmann, R., Andrés‐Lacueva, C., Badertscher, R., Brennan, L., Brunius, C. F., Bub, A., Capozzi, F., et al. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201800384 · Cited by 251
Emwas, A.-H. M., Luchinat, C., Turano, P., Tenori, L., Roy, R., Salek, R. M., Ryan, D., Merzaban, J. S., Kaddurah‐Daouk, R., Zeri, A. C. D. M., et al. (2014) · Metabolomics · doi:10.1007/s11306-014-0746-7 · Cited by 250
Benefits 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
Validation of biomarkers of food intake—critical assessment of candidate biomarkers
Dragsted, L. O., Gao, Q., Scalbert, A., Vergères, G., Kolehmainen, M., Manach, C., Brennan, L., Afman, L. A., Wishart, D. S., Andrés‐Lacueva, C., et al. (2018) · Genes & Nutrition · doi:10.1186/s12263-018-0603-9 · Cited by 237
Measuring the exposome: A powerful basis for evaluating environmental exposures and cancer risk
Wild, C. P., Scalbert, A., & Herceg, Z. (2013) · Environmental and Molecular Mutagenesis · doi:10.1002/em.21777 · Cited by 239
Identifying biomarkers of dietary patterns by using metabolomics
Playdon, M. C., Moore, S. C., Derkach, A., Reedy, J., Subar, A. F., Sampson, J. N., Albanes, D., Gu, F., Kontto, J. P., Lassale, C. M., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.144501 · Cited by 222
Urinary metabolic signatures of human adiposity
Elliott, P., Posma, J. M., Chan, Q. M., García‐Pérez, I., Wijeyesekera, A., Bictash, M., Ebbels, T. M. D., Ueshima, H., Zhao, L., Horn, L. V., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa5680 · Cited by 211
Self-citationMachine Learning in Nutrition Research
Kirk, D., Kok, E. J., Tufano, M., Teki̇nerdoğan, B., Feskens, E. J. M., & Camps, G. (2022) · Advances in Nutrition · doi:10.1093/advances/nmac103 · Cited by 206
Nair, M. K., Augustine, L. F., & Konapur, A. (2016) · Frontiers in Public Health · doi:10.3389/fpubh.2015.00277 · Cited by 176
Human metabolic profiles are stably controlled by genetic and environmental variation
Nicholson, G., Rantalainen, M., Maher, A. D., Li, J. V., Malmodin, D., Ahmadi, K. R., Faber, J. H., Hallgrímsdóttir, I. B., Barrett, A., Toft, H., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.57 · Cited by 176
Self-citationComparing metabolite profiles of habitual diet in serum and urine
Playdon, M. C., Sampson, J. N., Cross, A. J., Sinha, R. R., Guertin, K. A., Moy, K. A., Rothman, N., Irwin, M. L., Mayne, S. T., Stolzenberg‐Solomon, R. Z., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.135301 · Cited by 175
Nutritional metabolomics and breast cancer risk in a prospective study
Playdon, M. C., Ziegler, R. G., Sampson, J. N., Stolzenberg‐Solomon, R. Z., Thompson, H. J., Irwin, M. L., Mayne, S. T., Hoover, R. N., & Moore, S. C. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.150912 · Cited by 165
Methodological considerations and future insights for 24-hour dietary recall assessment in children
Foster, E., & Bradley, J. (2017) · Nutrition Research · doi:10.1016/j.nutres.2017.11.001 · Cited by 172
Pujos-Guillot, E., Hubert, J., Martin, J.-F., Lyan, B., Quintana, M., Claude, S., Chabanas, B., Rothwell, J. A., Bennetau-Pelissero, C., Scalbert, A., et al. (2013) · Journal of Proteome Research · doi:10.1021/pr300997c · Cited by 166
Lin, Q., Wang, C., Dong, W., Jiang, Q., Wang, D., Li, S., Chen, M., Liu, C., Sun, C., & Chen, K. (2014) · Gene · doi:10.1016/j.gene.2014.10.025 · Cited by 158
Lloyd, A. J., Beckmann, M., Favé, G., Mathers, J. C., & Draper, J. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511001164 · Cited by 152
Determinants of the urinary and serum metabolome in children from six European populations
Lau, C. E., Siskos, A., Maître, L., Robinson, O., Athersuch, T. J., Want, E. J., Urquiza, J., Casas, M., Vafeiadi, M., Roumeliotaki, T., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1190-8 · Cited by 153
Perspective: Dietary Biomarkers of Intake and Exposure—Exploration with Omics Approaches
Maruvada, P., Lampe, J. W., Wishart, D. S., Barupal, D. K., Chester, D. N., Dodd, D., Djoumbou-Feunang, Y., Dorrestein, P. C., Dragsted, L. O., Draper, J., et al. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz075 · Cited by 156
Human metabolome variation along the upper intestinal tract
Folz, J., Culver, R. N., Morales, J. M., Grembi, J., Triadafilopoulos, G., Relman, D. A., Huang, K. C., Shalon, D., & Fiehn, O. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00777-z · Cited by 143
Edmands, W. M. B., Ferrari, P., Rothwell, J. A., Rinaldi, S., Slimani, N., Barupal, D. K., Biessy, C., Jenab, M., Clavel‐Chapelon, F., Fagherazzi, G., et al. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.101881 · Cited by 143
Application of NMR Metabolomics to Search for Human Disease Biomarkers
Gebregiworgis, T., & Powers, R. (2012) · Combinatorial Chemistry & High Throughput Screening · doi:10.2174/138620712802650522 · Cited by 141
Untargeted Metabolomics as a Screening Tool for Estimating Compliance to a Dietary Pattern
Andersen, M.-B. S., Rinnan, Å., Manach, C., Poulsen, S. K., Pujos‐Guillot, E., Larsen, T. M., Astrup, A. V., & Dragsted, L. O. (2014) · Journal of Proteome Research · doi:10.1021/pr400964s · Cited by 136
Rebholz, C. M., Lichtenstein, A. H., Zheng, Z., Appel, L. J., & Coresh, J. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy099 · Cited by 131
Vázquez‐Fresno, R., Llorach, R., Urpí-Sardà, M., Lupianez-Barbero, A., Estruch, R., Corella, D., Fitó, M., Arós, F., Ruiz‐Canela, M., Salas‐Salvadó, J., et al. (2014) · Journal of Proteome Research · doi:10.1021/pr5007894 · Cited by 137
Lloyd, A. J., Favé, G., Beckmann, M., Lin, W., Tailliart, K., Xie, L., Mathers, J. C., & Draper, J. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.017921 · Cited by 130
Stability and Robustness of Human Metabolic Phenotypes in Response to Sequential Food Challenges
Heinzmann, S. S., Merrifield, C. A., Rezzi, S., Kochhar, S., Lindon, J. C., Holmes, E. C., & Nicholson, J. K. (2011) · Journal of Proteome Research · doi:10.1021/pr2005764 · Cited by 128
Self-citationYap, I. K. S., Brown, I., Chan, Q. M., Wijeyesekera, A., García‐Pérez, I., Bictash, M., Loo, R. L., Chadeau‐Hyam, M., Ebbels, T. M. D., Iorio, M. D., et al. (2010) · Journal of Proteome Research · doi:10.1021/pr100798r · Cited by 126
Self-citationEdmands, W. M. B., Beckonert, O. P., Stella, C., Campbell, A., Lake, B. G., Lindon, J. C., Holmes, E., & Gooderham, N. J. (2011) · Journal of Proteome Research · doi:10.1021/pr200326k · Cited by 119
Self-citationA review of pharmacological and pharmacokinetic properties of stachydrine
Cheng, F., Zhou, Y., Wang, M., Guo, C., Cao, Z., Zhang, R., & Peng, C. Y. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104755 · Cited by 119
NMR-based metabolomics: From sample preparation to applications in nutrition research
Brennan, L. (2014) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2014.09.001 · Cited by 115
Nutritional biomarkers for objective dietary assessment
Kuhnle, G. (2012) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.5631 · Cited by 108
Clinical metabolomics paves the way towards future healthcare strategies
Collino, S., Martin, F., & Rezzi, S. (2012) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2012.04216.x · Cited by 113
Metabolomics as a tool in nutritional research
Gibbons, H., O’Gorman, A., & Brennan, L. (2014) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000140 · Cited by 112
Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review
Rafiq, T., Azab, S. M., Teo, K. K., Thabane, L., Anand, S. S., Morrison, K. M., de Souza, R. J., & Britz‐McKibbin, P. (2021) · Advances in Nutrition · doi:10.1093/advances/nmab054 · Cited by 110
Lampe, J. W., Navarro, S. L., Hullar, M. A. J., & Shojaie, A. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665113000025 · Cited by 110
Metabolomics and microbiomes as potential tools to evaluate the effects of the Mediterranean diet
Jin, Q., Black, A., Kales, S. N., Vattem, D., Ruiz-Canela, M., & Sotos-Prieto, M. (2019) · Nutrients · doi:10.3390/nu11010207 · Cited by 100
A primer to nutritional metabolomics by NMR spectroscopy and chemometrics
Savorani, F., Rasmussen, M. A., Mikkelsen, M. S., & Engelsen, S. B. (2012) · Food Research International · doi:10.1016/j.foodres.2012.12.025 · Cited by 103
Metabolomics in nutrition research: current status and perspectives
Brennan, L. (2013) · Biochemical Society Transactions · doi:10.1042/bst20120350 · Cited by 107
A scheme for a flexible classification of dietary and health biomarkers
Gao, Q., Praticò, G., Scalbert, A., Vergères, G., Kolehmainen, M., Manach, C., Brennan, L., Afman, L. A., Wishart, D. S., Andrés‐Lacueva, C., et al. (2017) · Genes & Nutrition · doi:10.1186/s12263-017-0587-x · Cited by 103
Andersen, M.-B. S., Kristensen, M., Manach, C., Pujos‐Guillot, E., Poulsen, S. K., Larsen, T. M., Astrup, A. V., & Dragsted, L. O. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7498-5 · Cited by 97
Fruits and vegetables: measuring intake and encouraging increased consumption
Woodside, J. V., Young, I. S., & McKinley, M. C. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665112003059 · Cited by 90
Gibbons, H., Michielsen, C. C. J. R., Rundle, M., Frost, G. S., McNulty, B. A., Nugent, A. P., Walton, J., Flynn, A., Gibney, M. J., & Brennan, L. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700037 · Cited by 89
Nutrimetabolomic Strategies To Develop New Biomarkers of Intake and Health Effects
Llorach, R., Garcia‐Aloy, M., Tulipani, S., Vázquez‐Fresno, R., & Andrés‐Lacueva, C. (2012) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf301142b · Cited by 95
Wang, Y., Gapstur, S. M., Carter, B. D., Hartman, T. J., Stevens, V. L., Gaudet, M. M., & McCullough, M. L. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy027 · Cited by 86
Coras, R., Murillo‐Saich, J., & Gumá, M. (2020) · Cells · doi:10.3390/cells9040827 · Cited by 90
Recent Advances in the Application of Metabolomics for Nutrition and Health
González-Peña, D., & Brennan, L. (2019) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-032818-121715 · Cited by 89
Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging
Zamroziewicz, M. K., & Barbey, A. K. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00240 · Cited by 83
Münger, L. H., Trimigno, A., Picone, G., Freiburghaus, C., Pimentel, G., Burton, K. J., Pralong, F. P., Vionnet, N., Capozzi, F., Badertscher, R., et al. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00319 · Cited by 79
Nutriome–metabolome relationships provide insights into dietary intake and metabolism
Posma, J. M., García‐Pérez, I., Frost, G. S., Aljuraiban, G. S., Chan, Q. M., Horn, L. V., Daviglus, M. L., Stamler, J., Holmes, E. C., Elliott, P., et al. (2020) · Nature Food · doi:10.1038/s43016-020-0093-y · Cited by 70
Self-citationNutrigenomics: lessons learned and future perspectives
Brennan, L., & de Roos, B. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa366 · Cited by 73
METABOLOMICS IN THE IDENTIFICATION OF BIOMARKERS OF DIETARY INTAKE
O’Gorman, A., Gibbons, H., & Brennan, L. (2013) · Computational and Structural Biotechnology Journal · doi:10.5936/csbj.201301004 · Cited by 80
2-Furoylglycine as a Candidate Biomarker of Coffee Consumption
Heinzmann, S. S., Holmes, E. C., Kochhar, S., Nicholson, J. K., & Schmitt‐Kopplin, P. (2015) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5b03040 · Cited by 71
Self-citationBiomarker of food intake for assessing the consumption of dairy and egg products
Münger, L. H., Garcia‐Aloy, M., Vázquez‐Fresno, R., Gille, D., Rosana, A. R. R., Passerini, A., Soria-Florido, M. T., Pimentel, G., Sajed, T., Wishart, D. S., et al. (2018) · Genes & Nutrition · doi:10.1186/s12263-018-0615-5 · Cited by 69
A metabolomics approach to the identification of biomarkers of sugar-sweetened beverage intake
Gibbons, H., McNulty, B. A., Nugent, A. P., Walton, J., Flynn, A., Gibney, M. J., & Brennan, L. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.095604 · Cited by 68
Metabolomics as a tool in the identification of dietary biomarkers
Gibbons, H., & Brennan, L. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s002966511600032x · Cited by 73
Mayneris‐Perxachs, J., Lima, A. Â. M., Guerrant, R. L., Leite, Á. M., Moura, A. D., Lima, N. L., Soares, A. M., Havt, A., Moore, S. R., Pinkerton, R., et al. (2016) · Scientific Reports · doi:10.1038/srep19780 · Cited by 69
Detection of Foodborne Pathogens Using Proteomics and Metabolomics-Based Approaches
Jadhav, S. R., Shah, R., Karpe, A. V., Morrison, P. D., Kouremenos, K. A., Beale, D. J., & Palombo, E. A. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.03132 · Cited by 65
Data-driven strategy for the discovery of potential urinary biomarkers of habitual dietary exposure
Lloyd, A. J., Beckmann, M., Haldar, S., Seal, C. J., Brandt, K., & Draper, J. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.048033 · Cited by 66
Use of biomarkers to assess fruit and vegetable intake
Woodside, J. V., Draper, J., Lloyd, A., & McKinley, M. C. (2017) · Proceedings of The Nutrition Society · doi:10.1017/s0029665117000325 · Cited by 64
Loo, R. L., Zou, X., Appel, L. J., Nicholson, J. K., & Holmes, E. C. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx072 · Cited by 63
Self-citationThe role of metabolomics in determination of new dietary biomarkers
O’Gorman, A., & Brennan, L. (2017) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116002974 · Cited by 61
Stachydrine ameliorates high-glucose induced endothelial cell senescence and SIRT1 downregulation
Servillo, L., D’Onofrio, N., Longobardi, L., Sirangelo, I., Giovane, A., Cautela, D., Castaldo, D., Giordano, A., & Balestrieri, M. L. (2013) · Journal of Cellular Biochemistry · doi:10.1002/jcb.24598 · Cited by 60
Low, D. Y., Lefèvre‐Arbogast, S., González‐Domínguez, R., Urpí-Sardà, M., Micheau, P., Pétéra, M., Centeno, D., Durand, S., Pujos‐Guillot, E., Kőrösi, A., et al. (2019) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900177 · Cited by 63
Posma, J. M., García‐Pérez, I., Heaton, J. C., Burdisso, P., Mathers, J. C., Draper, J., Lewis, M. R., Lindon, J. C., Frost, G. S., Holmes, E. C., et al. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03324 · Cited by 56
Self-citationZuniga, K. E., & McAuley, E. (2014) · The journal of nutrition health & aging · doi:10.1007/s12603-014-0566-5 · Cited by 55
Garcia‐Aloy, M., Llorach, R., Urpí-Sardà, M., Jáuregui, O., Corella, D., Ruiz‐Canela, M., Salas‐Salvadó, J., Fitó, M., Ros, E., Estruch, R., et al. (2014) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201400434 · Cited by 58
Lang, R., Lang, T., Bader, M., Beusch, A., Schlagbauer, V., & Hofmann, T. F. (2017) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.6b05824 · Cited by 55
Claus, S. P., & Swann, J. R. (2013) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-030212-182612 · Cited by 58
Zhao, Y., Li, B., Wang, G., Ge, S., Ximing, L., Xu, G., & Liu, H. (2019) · Molecules · doi:10.3390/molecules24142660 · Cited by 52
Translational Cancer Research: Balancing Prevention and Treatment to Combat Cancer Globally
Wild, C. P., Bucher, J. R., de Jong, B. W. D., Dillner, J., von Gertten, C., Groopman, J. D., Herceg, Z., Holmes, E. C., Holmila, R. J., Olsen, J. H., et al. (2014) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dju353 · Cited by 50
Self-citationPosma, J. M., García‐Pérez, I., Ebbels, T. M. D., Lindon, J. C., Stamler, J., Elliott, P., Holmes, E. C., & Nicholson, J. K. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00879 · Cited by 51
Self-citationLiu, H., Garrett, T. J., Su, Z., Khoo, C., & Gu, L. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.03.007 · Cited by 49
Do food and stress biomarkers work for wastewater-based epidemiology? A critical evaluation
Choi, P. M., Bowes, D. A., O'Brien, J. W., Li, J., Halden, R. U., Jiang, G., Thomas, K. V., & Mueller, J. F. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139654 · Cited by 49
García‐Pérez, I., Posma, J. M., Chambers, E. S., Nicholson, J. K., Mathers, J. C., Beckmann, M., Draper, J., Holmes, E. C., & Frost, G. S. (2016) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5b05878 · Cited by 51
Self-citationExploring stachydrine: from natural occurrence to biological activities and metabolic pathways
He, Z., Li, P., Liu, P., & Xu, P. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1442879 · Cited by 48
Swann, J. R., Rajilić-Stojanović, M. D., Salonen, A., Sakwińska, O., Gill, C. M., Meynier, A., Fança‐Berthon, P., Schelkle, B., Segata, N., Shortt, C., et al. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02232-1 · Cited by 48
Ulaszewska, M., Trôst, K., Stanstrup, J., Tuohy, K. M., Franceschi, P., Chong, M. F., George, T. W., Minihane, A. M., Lovegrove, J. A., & Mattivi, F. (2016) · Metabolomics · doi:10.1007/s11306-015-0935-z · Cited by 47
Wellington, N., Shanmuganathan, M., de Souza, R. J., Zulyniak, M. A., Azab, S. M., Bloomfield, J., Mell, A., Ly, R., Desai, D., Anand, S. S., et al. (2019) · Nutrients · doi:10.3390/nu11102407 · Cited by 44
Urinary biomarkers of dietary intake: a review
Clarke, E. D., Rollo, M. E., Pezdirc, K., Collins, C. E., & Haslam, R. L. (2019) · Nutrition Reviews · doi:10.1093/nutrit/nuz048 · Cited by 48
Metabolomics—The new frontier in food safety and quality research
Pinu, F. R. (2015) · Food Research International · doi:10.1016/j.foodres.2015.03.028 · Cited by 43
Garcia‐Aloy, M., Rabassa, M., Casas‐Agustench, P., Hidalgo‐Liberona, N., Llorach, R., & Andrés‐Lacueva, C. (2017) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2017.04.013 · Cited by 43
Almanza‐Aguilera, E., Urpí-Sardà, M., Llorach, R., Vázquez‐Fresno, R., Garcia‐Aloy, M., Carmona, F., Sánchez‐Pla, Á., Madrid-Gambín, F., Estruch, R., Corella, D., et al. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.06.001 · Cited by 44
Zhao, H., Liu, M., Lv, Y., & Fang, M. (2021) · Environment International · doi:10.1016/j.envint.2021.106893 · Cited by 43
Rangel-Huerta, Ó. D., Aguilera, C. M., Pérez-de-la-Cruz, A. J., Vallejo, F., Tomás-Barberán, F. A., Gil, Á., & Mesa, M. D. (2016) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600120 · Cited by 43
Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes
Kim, H., & Rebholz, C. M. (2021) · Current Atherosclerosis Reports · doi:10.1007/s11883-021-00921-8 · Cited by 43
Vázquez‐Fresno, R., Llorach, R., Urpí-Sardà, M., Khymenets, O., Bulló, M., Corella, D., Fitó, M., Martínez‐González, M. Á., Estruch, R., & Andrés‐Lacueva, C. (2014) · Metabolomics · doi:10.1007/s11306-014-0735-x · Cited by 39
Wang, M., Yang, X., Wang, F., Li, R., Ning, H., Na, L., Huang, Y., Song, Y., Liu, L., Pan, H., et al. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-86 · Cited by 39
González‐Domínguez, R., Castellano‐Escuder, P., Carmona, F., Lefèvre‐Arbogast, S., Low, D. Y., Preez, A. D., Ruigrok, S. R., Manach, C., Urpí-Sardà, M., Kőrösi, A., et al. (2021) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202100606 · Cited by 39
Habitual dietary intake impacts on the lipidomic profile
O’Gorman, A., Morris, C., Ryan, M. M., O’Grada, C. M., Roche, H. M., Gibney, E. R., Gibney, M. J., & Brennan, L. (2014) · Journal of Chromatography B · doi:10.1016/j.jchromb.2014.01.032 · Cited by 39
Pekkinen, J., Rosa‐Sibakov, N., Micard, V., Keski‐Rahkonen, P., Lehtonen, M., Poutanen, K. S., Mykkänen, H. M., & Hanhineva, K. (2015) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201500066 · Cited by 36
Nutrikinetics: Concept, technologies, applications, perspectives
van Duynhoven, J., van Velzen, E. J. J., Westerhuis, J. A., Foltz, M., Jacobs, D. M., & Smilde, A. K. (2012) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2012.01.004 · Cited by 36
Metadata
- Authors
- Heinzmann, S. S., Brown, I. J., Chan, Q., Bictash, M., Dumas, M.-E., Kochhar, S., Stamler, J., Holmes, E., Elliott, P., & Nicholson, J. K.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Elliott, Paul
- Nicholson, Jeremy K
- ORCID
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 92
- Issue
- 2
- Pages
- 436-443
- ISSN
- 0002-9165 (ISSN-L)
- PMC
- PMC2904656
- OpenAlex
- W2120929142
- Cited by
- 271
- References
- 53
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 14 · 2023: 10 · 2022: 13 · 2021: 19 · 2020: 26 · 2019: 18 · 2018: 22 · 2017: 29 · 2016: 16 · 2015: 16 · 2014: 22 · 2013: 18 · 2012: 18
- FWCI
- 14.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL050490, R01HL50490, R01HL084228)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Biochemistry (medical) › Phytochemicals and Antioxidant Activities
- Keywords
- proline betaine, citrus consumption, urinary biomarkers, metabolic phenotyping, dietary adherence, excretion kinetics, dietary habits, fruit consumption, INTERMAP, healthy eating patterns
- MeSH terms
- Adult, Citrus, Diet, Female, Fruit, Humans, Male, Middle Aged, Magnetic Resonance Spectroscopy, Nutritional Status, Proline, Biomarkers, Multivariate Analysis, Plant Preparations
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