Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies

A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION

Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751 · see citing works

A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION

Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/y59-099 · Cited by 23,189 · see citing works

McCance and Widdowson's The Composition of Foods

England, P. H. (2002) · Royal Society of Chemistry eBooks · doi:10.1039/9781849735551 · Cited by 2,209 · see citing works

Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording.

Goldberg, G. R., Black, A., Jebb, S. A., Cole, T. J., Pr, M., Coward, W. A., & Prentice, A. M. (1991) · PubMed · Cited by 1,927 · see citing works

Empirically derived eating patterns using factor or cluster analysis: a review

Newby, P. K., & Tucker, K. L. (2004) · Nutrition Reviews · doi:10.1111/j.1753-4887.2004.tb00040.x · Cited by 1,248 · see citing works

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 · see citing works

Metabolomics: applications to food science and nutrition research

Wishart, D. S. (2008) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2008.03.003 · Cited by 672 · see citing works

Fatty acid content and composition of english beef, lamb and pork at retail

Enser, M. B., Hallett, K. G., Hewitt, B., Fursey, G. A. J., & Wood, J. D. (1996) · Meat Science · doi:10.1016/0309-1740(95)00037-2 · Cited by 595 · see citing works

Are dietary patterns useful for understanding the role of diet in chronic disease?

Jacques, P. F., & Tucker, K. L. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.1.1 · Cited by 584 · see citing works

Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research

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 · see citing works

Bias in dietary-report instruments and its implications for nutritional epidemiology

Kipnis, V., Midthune, D., Freedman, L. S., Bingham, S. A., Day, N., Ríboli, E., Ferrari, P., & Carroll, R. J. (2002) · Public Health Nutrition · doi:10.1079/phn2002383 · Cited by 482 · see citing works

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 · see citing works

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 · see citing works

Dietary patterns, approaches, and multicultural perspectiveThis is one of a selection of papers published in the CSCN–CSNS 2009 Conference, entitled Can we identify culture-specific healthful dietary patterns among diverse populations undergoing nutrition transition?

Tucker, K. L. (2010) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h10-010 · Cited by 298 · see citing works

Dietary patterns and 15-y risks of major coronary events, diabetes, and mortality

Brunner, E. J., Mosdøl, A., Witte, D. R., Martikainen, P., Stafford, M., Shipley, M. J., & Marmot, M. G. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.5.1414 · Cited by 280 · see citing works

Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption

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 · see citing works

A priori–defined dietary patterns and markers of cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis (MESA)

Nettleton, J. A., Schulze, M. B., Jiang, R., Jenny, N. S., Burke, G. L., & Jacobs, D. R. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.1.185 · Cited by 252 · see citing works

Metabonomics, dietary influences and cultural differences: a 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects

Lenz, E. M., Bright, J. D., Wilson, I. D., Hughes, A. M., Morrisson, J., Lindberg, H., & Lockton, A. (2004) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2004.08.002 · Cited by 248 · see citing works

Plasma phospholipid fatty acid profiles and their association with food intakes: results from a cross-sectional study within the European Prospective Investigation into Cancer and Nutrition

Saadatian-Elahi, M., Slimani, N., Chajès, V., Jenab, M., Goudable, J., Biessy, C., Ferrari, P., Byrnes, G., Autier, P., Peeters, P. H., et al. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26834 · Cited by 213 · see citing works

Identification of phenylacetic acid as a natural auxin in the shoots of higher plants

WIGHTMAN, F., & Lighty, D. L. (1982) · Physiologia Plantarum · doi:10.1111/j.1399-3054.1982.tb00278.x · Cited by 171 · see citing works

Plasma phospholipid fatty acid composition as a biomarker of habitual dietary fat intake in an ethnically diverse cohort

Hodge, A. M., Simpson, J. A., Gibson, R. A., Sinclair, A. J., Makrides, M., O’Dea, K., English, D. R., & Giles, G. G. (2006) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2006.04.005 · Cited by 164 · see citing works

Human Metabolic Phenotypes Link Directly to Specific Dietary Preferences in Healthy Individuals

Rezzi, S., Ramadan, Z., Martin, F., Fay, L. B., van Bladeren, P., Lindon, J. C., Nicholson, J. K., & Kochhar, S. (2007) · Journal of Proteome Research · doi:10.1021/pr070431h · Cited by 161 · see citing works

SYNTHESIS OF PHENYLACETYLGLUTAMINE BY HUMAN TISSUE

Moldave, K., & Meister, A. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)70632-7 · Cited by 151 · see citing works

Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods

Newby, P. K., Muller, D. C., & Tucker, K. L. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.3.759 · Cited by 140 · see citing works

Comparison of cluster and principal component analysis techniques to derive dietary patterns in Irish adults

Hearty, À. P., & Gibney, M. J. (2008) · British Journal Of Nutrition · doi:10.1017/s0007114508014128 · Cited by 130 · see citing works

Identification of separate acyl- CoA:glycine and acyl-CoA:L-glutamine N-acyltransferase activities in mitochondrial fractions from liver of rhesus monkey and man

Webster, L. T., Siddiqui, U. A., Lucas, S. V., Strong, J. M., & Mieyal, J. J. (1976) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)33444-0 · Cited by 129 · see citing works

Dietary patterns in middle-aged Irish men and women defined by cluster analysis

Villegas, R., Salim, A., Collins, M., Flynn, A., & Perry, I. J. (2004) · Public Health Nutrition · doi:10.1079/phn2004638 · Cited by 94 · see citing works

A metabonomic approach to the investigation of drug-induced phospholipidosis: an NMR spectroscopy and pattern recognition study

Nicholls, J. (2000) · Biomarkers · doi:10.1080/135475000750052420 · Cited by 87 · see citing works

Identification of biochemical changes in lactovegetarian urine using 1H NMR spectroscopy and pattern recognition

Xu, J., Yang, S., Cai, S., Dong, J., Li, X., & Chen, Z. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-009-3338-z · Cited by 85 · see citing works

Analysis of dietary patterns in epidemiological researchThis paper is one of a selection of papers published in the CSCN–CSNS 2009 Conference, entitled Are dietary patterns the best way to make nutrition recommendations for chronic disease prevention?

Slattery, M. L. (2010) · Applied Physiology Nutrition and Metabolism · doi:10.1139/h10-006 · Cited by 76 · see citing works

Cross-sectional association of dietary patterns with insulin-resistant phenotypes among adults without diabetes in the Framingham Offspring Study

Liu, E., McKeown, N. M., Newby, P. K., Meigs, J. B., Vasan, R. S., Quatromoni, P. A., D’Agostino, R. B., & Jacques, P. F. (2009) · British Journal Of Nutrition · doi:10.1017/s0007114509220836 · Cited by 58 · see citing works

Dietary patterns and cardiovascular risk markers in the UK Low Income Diet and Nutrition Survey

Hamer, M., & Mishra, G. D. (2009) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.05.002 · Cited by 55 · see citing works

Intakes of total fat, saturated, monounsaturated and polyunsaturated fatty acids in Irish children, teenagers and adults

Joyce, T., Wallace, A. J., McCarthy, S. N., & Gibney, M. J. (2008) · Public Health Nutrition · doi:10.1017/s1368980008002772 · Cited by 51 · see citing works

Influence of feeding on metabolite excretion evidenced by urine 1 H NMR spectral profiles: a comparison between subjects living in Rome and subjects living at arctic latitudes (Svaldbard)

Zuppi, C., Messana, I., Forni, F., Ferrari, F., Rossi, C., & Giardina, B. (1998) · Clinica Chimica Acta · doi:10.1016/s0009-8981(98)00132-6 · Cited by 46 · see citing works

Nutrition patterns and metabolic syndrome: A need for action in young adults (French Nutrition and Health Survey — ENNS, 2006–2007)

Julia, C., Vernay, M., Salanave, B., Deschamps, V., Malon, A., Oleko, A., Herçberg, S., & Castetbon, K. (2010) · Preventive Medicine · doi:10.1016/j.ypmed.2010.09.009 · Cited by 27 · see citing works

The influence of fish, meat and polyunsaturated fat intakes on platelet phospholipid polyunsaturated fatty acids in male Melbourne Chinese and Caucasian

Li, D., Zhang, H., Hsu‐Hage, B. H. ‐., Wahlqvist, M., & Sinclair, A. (2001) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601269 · Cited by 23 · see citing works

Gut microbiota composition correlates with diet and health in the elderly

Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314 · see citing works

Understanding the role of gut microbiome–host metabolic signal disruption in health and disease

Holmes, E., Li, J. V., Athanasiou, T., Ashrafian, H., & Nicholson, J. K. (2011) · Trends in Microbiology · doi:10.1016/j.tim.2011.05.006 · Cited by 541 · see citing works

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 · see citing works

Glycine Metabolism and Its Alterations in Obesity and Metabolic Diseases

Alves, A., Bassot, A., Bulteau, A., Pirola, L., & Morio, B. (2019) · Nutrients · doi:10.3390/nu11061356 · Cited by 371 · see citing works

The Mediterranean diet, plasma metabolome, and cardiovascular disease risk

Li, J., Guasch‐Ferré, M., Chung, W., Ruiz‐Canela, M., Toledo, E., Corella, D., Bhupathiraju, S. N., Tobias, D. K., Tabung, F. K., Hu, J., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa209 · Cited by 364 · see citing works

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 · see citing works

Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations

Guertin, K. A., Moore, S. C., Sampson, J. N., Huang, W., Xiao, Q., Stolzenberg‐Solomon, R. Z., Sinha, R. R., & Cross, A. J. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.078758 · Cited by 282 · see citing works

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 266 · see citing works

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 263 · see citing works

The Human Milk Metabolome Reveals Diverse Oligosaccharide Profiles

Smilowitz, J. T., O’Sullivan, A. M., Barile, D., German, J. B., Lönnerdal, B. L., & Slupsky, C. M. (2013) · Journal of Nutrition · doi:10.3945/jn.113.178772 · Cited by 260 · see citing works

Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies

Jin, Q., & Ma, R. C. W. (2021) · Cells · doi:10.3390/cells10112832 · Cited by 252 · see citing works

Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial

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 244 · see citing works

Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review

Emwas, A.-H. M., Luchinat, C., Turano, P., Tenori, L., Roy, R., Salek, R. M., Ryan, D., Merzaban, J. S., Kaddurah-Daouk, R. F., Zeri, A. C. D. M., et al. (2014) · Metabolomics · doi:10.1007/s11306-014-0746-7 · Cited by 237 · see citing works

Toward a New Philosophy of Preventive Nutrition: From a Reductionist to a Holistic Paradigm to Improve Nutritional Recommendations

Fardet, A., & Rock, E. (2014) · Advances in Nutrition · doi:10.3945/an.114.006122 · Cited by 238 · see citing works

Metabolomics and Cardiovascular Biomarker Discovery

Rhee, E. P., & Gerszten, R. E. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2011.169573 · Cited by 232 · see citing works

Dietary Intake Following Experimentally Restricted Sleep in Adolescents

Beebe, D. W., Simon, S., Summer, S., Hemmer, S., Strotman, D., & Dolan, L. M. (2013) · Sleep · doi:10.5665/sleep.2704 · Cited by 232 · see citing works

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 228 · see citing works

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 · see citing works

A metabolomic study of biomarkers of meat and fish intake

Cheung, W., Keski-Rahkonen, P., Assi, N., Ferrari, P., Freisling, H., Rinaldi, S., Slimani, N., Zamora-Ros, R., Rundle, M., Frost, G., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.146639 · Cited by 206 · see citing works

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 207 · see citing works

Polyunsaturated fatty acids metabolism, purine metabolism and inosine as potential independent diagnostic biomarkers for major depressive disorder in children and adolescents

Zhou, X., Liu, L., Lan, X., Cohen, D., Zhang, Y., Ravindran, A. V., Yuan, S., Zheng, P., Coghill, D., Yang, L., et al. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0047-z · Cited by 182 · see citing works

Comparing 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 · see citing works

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 · see citing works

Application of Urinary Polyphenol Biomarkers Measured by Liquid Chromatography Tandem Mass Spectrometry to Assess Polyphenol Intake and Their Association with Overweight and Obesity in Free-Living Healthy Subjects

Yang, R., Xiu, H., Zhou, Q., Sun, L., Mu, H., Li, H., Wang, S., Li, X., Chen, W., & Dong, J. (2019) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2019/4809836 · Cited by 166 · see citing works

Nontargeted Metabolite Profiling Discriminates Diet-Specific Biomarkers for Consumption of Whole Grains, Fatty Fish, and Bilberries in a Randomized Controlled Trial

Hanhineva, K., Lankinen, M. A., Pedret, A., Schwab, U., Kolehmainen, M., Paananen, J., de Mello, V. D., Solà, R., Lehtonen, M., Poutanen, K. S., et al. (2014) · Journal of Nutrition · doi:10.3945/jn.114.196840 · Cited by 160 · see citing works

Invited review: The anti-inflammatory properties of dairy lipids

Lordan, R., & Zabetakis, I. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12224 · Cited by 146 · see citing works

Paving the Way to Precision Nutrition Through Metabolomics

Tebani, A., & Bekri, S. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00041 · Cited by 143 · see citing works

Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort

Schmidt, J. A., Rinaldi, S., Ferrari, P., Carayol, M., Achaintre, D., Scalbert, A., Cross, A. J., Gunter, M. J., Fensom, G. K., Appleby, P. N., et al. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.111989 · Cited by 140 · see citing works

Diurnal rhythms in the human urine metabolome during sleep and total sleep deprivation

Giskeødegård, G. F., Davies, S. K., Revell, V. L., Keun, H., & Skene, D. J. (2015) · Scientific Reports · doi:10.1038/srep14843 · Cited by 135 · see citing works

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 132 · see citing works

Variation of serum metabolites related to habitual diet: a targeted metabolomic approach in EPIC-Potsdam

Floegel, A., von Ruesten, A., Drogan, D., Schulze, M. B., Prehn, C. P., Adamski, J., Pischon, T., & Boeing, H. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.147 · Cited by 132 · see citing works

Metabolomic Pattern Analysis after Mediterranean Diet Intervention in a Nondiabetic Population: A 1- and 3-Year Follow-up in the PREDIMED Study

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 131 · see citing works

Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods

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 · see citing works

Targeted metabolomics profiles are strongly correlated with nutritional patterns in women

Menni, C., Zhai, G., MacGregor, A. J., Prehn, C. P., Römisch‐Margl, W., Suhre, K., Adamski, J., Cassidy, A., Illig, T., Spector, T. D., et al. (2012) · Metabolomics · doi:10.1007/s11306-012-0469-6 · Cited by 126 · see citing works

Advances in dietary pattern analysis in nutritional epidemiology

Schulz, C., Oluwagbemigun, K., & Nöthlings, U. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02545-9 · Cited by 128 · see citing works

Biomarkers of meat and seafood intake: an extensive literature review

Cuparencu, C., Praticò, G., Hemeryck, L., Harsha, P. S. C. S., Noerman, S., Rombouts, C., Xi, M., Vanhaecke, L., Hanhineva, K., Brennan, L., et al. (2019) · Genes & Nutrition · doi:10.1186/s12263-019-0656-4 · Cited by 122 · see citing works

Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes

Wittenbecher, C., Mühlenbruch, K., Kröger, J., Jacobs, S., Kuxhaus, O., Floegel, A., Fritsche, A., Pischon, T., Prehn, C., Adamski, J., et al. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.099150 · Cited by 120 · see citing works

Food metabolomics: from farm to human

Kim, S., Kim, J., Yun, E. J., & Kim, K. H. (2015) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2015.09.004 · Cited by 120 · see citing works

Global Dietary Surveillance: Data Gaps and Challenges

Micha, R., Coates, J., Leclercq, C., Charrondière, U. R., & Mozaffarian, D. (2018) · Food and Nutrition Bulletin · doi:10.1177/0379572117752986 · Cited by 117 · see citing works

Identification of human urinary biomarkers of cruciferous vegetable consumption by metabonomic profiling

Edmands, 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 · see citing works

The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy mis-reporting

Devlin, U., McNulty, B. A., Nugent, A. P., & Gibney, M. J. (2012) · Proceedings of The Nutrition Society · doi:10.1017/s0029665112000729 · Cited by 119 · see citing works

Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins

Pallister, T., Jennings, A., Mohney, R. P., Yarand, D., Mangino, M., Cassidy, A., MacGregor, A. J., Spector, T. D., & Menni, C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158568 · Cited by 117 · see citing works

Metabolomic profiles as reliable biomarkers of dietary composition

Esko, T., Hirschhorn, J. N., Feldman, H. A., Hsu, Y.-H. H., Deik, A., Clish, C. B., Ebbeling, C. B., & Ludwig, D. S. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.144428 · Cited by 115 · see citing works

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 112 · see citing works

Dietary bioactive ingredients to modulate the gut microbiota-derived metabolite TMAO. New opportunities for functional food development

Simó, C., & García‐Cañas, V. (2020) · Food & Function · doi:10.1039/d0fo01237h · Cited by 110 · see citing works

Serum Metabolic Profiling in Inflammatory Bowel Disease

Williams, H. R. T., Willsmore, J., Cox, I. J., Walker, D. G., Cobbold, J., Taylor-Robinson, S. D., & Orchard, T. R. (2012) · Digestive Diseases and Sciences · doi:10.1007/s10620-012-2127-2 · Cited by 110 · see citing works

An Emerging Role for Metabolomics in Nutrition Science

Astarita, G., & Langridge, J. (2013) · Lifestyle Genomics · doi:10.1159/000354403 · Cited by 109 · see citing works

Life-history stage determines the diet of ectoparasitic mites on their honey bee hosts

Han, B., Wu, J., Wei, Q., Liu, F., Cui, L., Rueppell, O., & Xu, S. (2024) · Nature Communications · doi:10.1038/s41467-024-44915-x · Cited by 107 · see citing works

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 105 · see citing works

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 · see citing works

Metabolomics in nutrition research: current status and perspectives

Brennan, L. (2013) · Biochemical Society Transactions · doi:10.1042/bst20120350 · Cited by 100 · see citing works

The metabolic signature associated with the Western dietary pattern: a cross-sectional study

Bouchard‐Mercier, A., Rudkowska, I., Lemieux, S., Couture, P., & Vohl, M. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-158 · Cited by 97 · see citing works

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 · see citing works

Food Preference Patterns in a UK Twin Cohort

Pallister, T., Sharafi, M., Lachance, G., Pirastu, N., Mohney, R. P., MacGregor, A. J., Feskens, E. J. M., Duffy, V. B., Spector, T. D., & Menni, C. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.69 · Cited by 90 · see citing works

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 91 · see citing works

Circulating Pro- and Anti-Inflammatory Metabolites and Its Potential Role in Rheumatoid Arthritis Pathogenesis

Coras, R., Murillo‐Saich, J., & Gumá, M. (2020) · Cells · doi:10.3390/cells9040827 · Cited by 85 · see citing works

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 84 · see citing works

Metabonomic analysis of serum of workers occupationally exposed to arsenic, cadmium and lead for biomarker research: A preliminary study

Dudka, I., Kossowska, B., Senhadri, H., Latajka, R., Hajek, J., Andrzejak, R., Antonowicz−Juchniewicz, J., & Gancarz, R. A. (2014) · Environment International · doi:10.1016/j.envint.2014.03.015 · Cited by 82 · see citing works

Evidence of a DHA Signature in the Lipidome and Metabolome of Human Hepatocytes

Ghini, V., Nunzio, M. D., Tenori, L., Valli, V., Danesi, F., Capozzi, F., Luchinat, C., & Bordoni, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18020359 · Cited by 80 · see citing works

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 78 · see citing works

Untargeted metabolomics of colonic digests reveals kynurenine pathway metabolites, dityrosine and 3-dehydroxycarnitine as red versus white meat discriminating metabolites

Rombouts, C., Hemeryck, L., HECKE, T. V., SMET, S. D., Vos, W. H. D., & Vanhaecke, L. (2017) · Scientific Reports · doi:10.1038/srep42514 · Cited by 74 · see citing works

Whey Protein Supplementation Does Not Alter Plasma Branched-Chained Amino Acid Profiles but Results in Unique Metabolomics Patterns in Obese Women Enrolled in an 8-Week Weight Loss Trial

Piccolo, B. D., Comerford, K. B., Karakas, S. E., Knotts, T. A., Fiehn, O., & Adams, S. H. (2015) · Journal of Nutrition · doi:10.3945/jn.114.203943 · Cited by 74 · see citing works

Dietary patterns and ethnicity are associated with distinct plasma proteomic groups

García‐Bailo, B., Brenner, D. R., Nielsen, D. E., Lee, H., Domański, D., Kuzyk, M. A., Borchers, C. H., Badawi, A. F., Karmali, M. A., & El‐Sohemy, A. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.022657 · Cited by 73 · see citing works

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 72 · see citing works

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 · see citing works

What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation

Rollo, M. E., Williams, R. L., Burrows, T. L., Kirkpatrick, S. I., Bucher, T., & Collins, C. E. (2016) · Current Nutrition Reports · doi:10.1007/s13668-016-0182-6 · Cited by 71 · see citing works

Personalised Interventions—A Precision Approach for the Next Generation of Dietary Intervention Studies

de Roos, B., & Brennan, L. (2017) · Nutrients · doi:10.3390/nu9080847 · Cited by 70 · see citing works

Metabolomic markers of healthy dietary patterns in US postmenopausal women

McCullough, M. L., Maliniak, M. L., Stevens, V. L., Carter, B. D., Hodge, R. A., & Wang, Y. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy385 · Cited by 68 · see citing works

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 67 · see citing works

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 67 · see citing works

Dietary metabolic signatures and cardiometabolic risk

Shah, R. V., Steffen, L. M., Nayor, M. G., Reis, J. P., Jacobs, D. R., Allen, N. B., Lloyd‐Jones, D. M., Meyer, K. A., Cole, J. B., Piaggi, P., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehac446 · Cited by 67 · see citing works

A Healthy Dietary Pattern Reduces Lung Cancer Risk: A Systematic Review and Meta-Analysis

Sun, Y., Li, Z., Li, J., Li, Z., & Han, J. (2016) · Nutrients · doi:10.3390/nu8030134 · Cited by 65 · see citing works

Metabolomic Phenotyping Validates the Infant Rhesus Monkey as a Model of Human Infant Metabolism

O’Sullivan, A. M., He, X., McNiven, E. M. S., Hinde, K., Haggarty, N. W., Lönnerdal, B. L., & Slupsky, C. M. (2012) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e31827e1f07 · Cited by 64 · see citing works

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 64 · see citing works

Serum metabolite profile associated with incident type 2 diabetes in Koreans: findings from the Korean Genome and Epidemiology Study

Yang, S. J., Kwak, S., Jo, G., Song, T., & Shin, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-26320-9 · Cited by 64 · see citing works

Balancing the Equation: A Natural History of Trimethylamine and Trimethylamine-N-oxide

Loo, R. L., Chan, Q. M., Nicholson, J. K., & Holmes, E. C. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00851 · Cited by 60 · see citing works

The 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 · see citing works

Evaluation of serum amino acid profiles’ utility in non-small cell lung cancer detection in Polish population

Klupczyńska, A., Dereziński, P., Dyszkiewicz, W., Pawlak, K., Kasprzyk, M., & Kokot, Z. J. (2016) · Lung Cancer · doi:10.1016/j.lungcan.2016.04.008 · Cited by 59 · see citing works

Analytical metabolomics: nutritional opportunities for personalized health

McNiven, E. M. S., German, J. B., & Slupsky, C. M. (2011) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2011.05.016 · Cited by 58 · see citing works

Nutrient Patterns and Their Food Sources in an International Study Setting: Report from the EPIC Study

Moskal, A., Pisa, P. T., Ferrari, P., Byrnes, G. B., Freisling, H., Boutron‐Ruault, M., Cadeau, C., Nailler, L., Wendt, A. T., Kuhn, T. E., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098647 · Cited by 56 · see citing works

Integrated Analytical and Statistical Two-Dimensional Spectroscopy Strategy for Metabolite Identification: Application to Dietary Biomarkers

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 55 · see citing works

Hydroxylated phenylacetamides derived from bioactive benzoxazinoids are bioavailable in humans after habitual consumption of whole grain sourdough rye bread

Beckmann, M., Lloyd, A. J., Haldar, S., Seal, C., Brandt, K., & Draper, J. (2013) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201200777 · Cited by 55 · see citing works

Targeted plasma metabolome response to variations in dietary glycemic load in a randomized, controlled, crossover feeding trial in healthy adults

Barton, S., Navarro, S. L., Buas, M. F., Schwarz, Y., Gu, H., Djukovic, D., Raftery, D., Kratz, M., Neuhouser, M. L., & Lampe, J. W. (2015) · Food & Function · doi:10.1039/c5fo00287g · Cited by 55 · see citing works

Considerations in selection of diet assessment methods for examining the effect of nutrition on cognition

Zuniga, K. E., & McAuley, E. (2014) · The journal of nutrition health & aging · doi:10.1007/s12603-014-0566-5 · Cited by 55 · see citing works

Bitter Taste Perception and Dietary Intake Patterns in Irish Children

O'Brien, S. A., Feeney, E. L., Scannell, A. G. M., Markey, A., & Gibney, E. R. (2013) · Lifestyle Genomics · doi:10.1159/000348442 · Cited by 55 · see citing works

Nutritional biomarkers and foodomic methodologies for qualitative and quantitative analysis of bioactive ingredients in dietary intervention studies

Puiggròs, F., Solà, R., Bladé, C., Salvadó, M. J., & Arola, L. (2011) · Journal of Chromatography A · doi:10.1016/j.chroma.2011.08.051 · Cited by 54 · see citing works

Nutrimetabonomics:Applications for Nutritional Sciences, with Specific Reference to Gut Microbial Interactions

Claus, S. P., & Swann, J. R. (2013) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-030212-182612 · Cited by 53 · see citing works

Role of metabolomics in identification of biomarkers related to food intake

Collins, C., McNamara, A. E., & Brennan, L. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s002966511900048x · Cited by 51 · see citing works

Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes

Antwi, J. (2023) · Current Nutrition Reports · doi:10.1007/s13668-023-00491-y · Cited by 50 · see citing works

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 · see citing works

Nutrient Patterns and Their Association with Socio-Demographic, Lifestyle Factors and Obesity Risk in Rural South African Adolescents

Pisa, P. T., Pedro, T. M., Kahn, K., Tollman, S. M., Pettifor, J. M., & Norris, S. A. (2015) · Nutrients · doi:10.3390/nu7053464 · Cited by 47 · see citing works

Dietary exposure biomarker-lead discovery based on metabolomics analysis of urine samples

Beckmann, M., Lloyd, A. J., Haldar, S., Favé, G., Seal, C. J., Brandt, K., Mathers, J. C., & Draper, J. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665113001237 · Cited by 47 · see citing works

Comparing the metabolic profiles of raw and cooked pufferfish (Takifugu flavidus) meat by NMR assessment

Yang, L., Dai, B., Ayed, C., & Liu, Y. (2019) · Food Chemistry · doi:10.1016/j.foodchem.2019.03.128 · Cited by 46 · see citing works

Combined effects of a high-fat diet and chronic valproic acid treatment on hepatic steatosis and hepatotoxicity in rats

Zhang, L., Liu, L.-S., Chu, X.-M., Xie, H., Cao, L., Guo, C., Aa, J., Cao, B., Li, M.-J., Wang, G., et al. (2014) · Acta Pharmacologica Sinica · doi:10.1038/aps.2013.135 · Cited by 45 · see citing works

Identification of Altered Metabolomic Profiles Following a Panchakarma-based Ayurvedic Intervention in Healthy Subjects: The Self-Directed Biological Transformation Initiative (SBTI)

Peterson, C. T., Lucas, J. E., John‐Williams, L. S., Thompson, J. W., Moseley, M. A., Patel, S., Peterson, S. N., Porter, V., Schadt, E. E., Mills, P. J., et al. (2016) · Scientific Reports · doi:10.1038/srep32609 · Cited by 45 · see citing works

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 45 · see citing works

Identification of urinary biomarkers after consumption of sea buckthorn and strawberry, by untargeted LC–MS metabolomics: a meal study in adult men

Cuparencu, C., Andersen, M.-B. S., Gürdeniz, G., Schou, S. S., Mortensen, M. W., Raben, A., Astrup, A. V., & Dragsted, L. O. (2016) · Metabolomics · doi:10.1007/s11306-015-0934-0 · Cited by 43 · see citing works

Microbial metabolites are associated with a high adherence to a Mediterranean dietary pattern using a 1H-NMR-based untargeted metabolomics approach

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 42 · see citing works

Biomarkers of Individual Foods, and Separation of Diets Using Untargeted LC–MS‐based Plasma Metabolomics in a Randomized Controlled Trial

Acar, E., Gürdeniz, G., Khakimov, B., Savorani, F., Poulsen, S. K., Larsen, T. M., Engelsen, S. B., Astrup, A. V., & Dragsted, L. O. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201800215 · Cited by 43 · see citing works

A metabolomic study of red and processed meat intake and acylcarnitine concentrations in human urine and blood

Wedekind, R., Kiss, A., Keski‐Rahkonen, P., Viallon, V., Rothwell, J. A., Cross, A. J., Rostgaard‐Hansen, A. L., Sandanger, T. M., Jakszyn, P. G., Schmidt, J. A., et al. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa140 · Cited by 41 · see citing works

Metabolomic based identification of clusters that reflect dietary patterns

Gibbons, H., Carr, E., Frost, G. S., McNulty, B. A., Nugent, A. P., Walton, J., Flynn, A., Gibney, M. J., & Brennan, L. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116001907

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 307 · see citing works

Identification of blood biomarkers of a healthy dietary pattern as facilitated by cluster analysis in patients from the MEDDINI study: a pilot randomised trial

Macias, S., Yilmaz, A., Kirma, J., Moore, S. E., McKinley, M. C., McKeown, P., Woodside, J. V., Graham, S. F., & Green, B. D. (2026) · Journal of Nutritional Science · doi:10.1017/jns.2026.10115

Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort

Winkvist, A., Johansson, I., Ellegård, L., & Lindqvist, H. M. (2024) · Nutrition Journal · doi:10.1186/s12937-024-00929-1 · Cited by 2 · see citing works

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 105 · see citing works