Biomarkers of Nutrition and Health: New Tools for New Approaches

Picó, Catalina; Serra, Francisca; Rodríguez, Ana María; Keijer, Jaap; Palou, Andreu

doi:10.3390/nu11051092

Cited by 287Nutrition, Genetics, and DiseaseNutritional Studies and DietMetabolomics and Mass Spectrometry Studies

Biomarkers of Nutrition and Health: New Tools for New Approaches

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Picó, Catalina, Serra, Francisca, Rodríguez, Ana María, Keijer, Jaap, Palou, Andreu·2019·Nutrients

DOI 10.3390/nu11051092PMC PMC6567133

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Abstract

A main challenge in nutritional studies is the valid and reliable assessment of food intake, as well as its effects on the body. Generally, food intake measurement is based on self-reported dietary intake questionnaires, which have inherent limitations. They can be overcome by the use of biomarkers, capable of objectively assessing food consumption without the bias of self-reported dietary assessment. Another major goal is to determine the biological effects of foods and their impact on health. Systems analysis of dynamic responses may help to identify biomarkers indicative of intake and effects on the body at the same time, possibly in relation to individuals’ health/disease states. Such biomarkers could be used to quantify intake and validate intake questionnaires, analyse physiological or pathological responses to certain food components or diets, identify persons with specific dietary deficiency, provide information on inter-individual variations or help to formulate personalized dietary recommendations to achieve optimal health for particular phenotypes, currently referred as “precision nutrition.” In this regard, holistic approaches using global analysis methods (omics approaches), capable of gathering high amounts of data, appear to be very useful to identify new biomarkers and to enhance our understanding of the role of food in health and disease.

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From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [23]
Section 2 (Biomarkers of Nutritional Status; page unavailable) links plasma cholesterol and triglycerides to cardiovascular disease, supporting the cardiovascular-risk part. Section 6.5 discusses lipidomics and lipid metabolism, but does not establish that the listed clinical lipid profile assesses fat metabolism; the paper also does not provide the cited cholesterol, LDL, HDL, or triglyceride cutoffs. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Elevated serum creatinine levels are indicative of decreased glomerular filtration rate (GFR) and may suggest acute or chronic kidney disease.
“Elevated serum creatinine levels are indicative of decreased glomerular filtration rate (GFR) and may suggest acute or chronic kidney disease.”
From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [23]
Section 4 says creatinine travels through the blood to the kidneys and is excreted in urine; Section 2 lists urinary creatinine as a proposed marker of meat and fish intake. Neither passage, nor the additional searches for GFR and kidney disease, addresses whether elevated serum creatinine indicates reduced filtration or suggests acute or chronic kidney disease. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured

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Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099 · see citing works
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143 · see citing works
Persistent epigenetic differences associated with prenatal exposure to famine in humans
Heijmans, B. T., Tobi, E. W., Stein, A. D., Putter, H., Blauw, G. J., Susser, E. S., Slagboom, P. E., & Lumey, L. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806560105 · Cited by 3,082 · see citing works
Metabolomics: the apogee of the omics trilogy
Patti, G. J., Yanes, Ó., & Siuzdak, G. E. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3314 · Cited by 2,605 · see citing works
Integrative single-cell analysis
Stuart, T., & Satija, R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0093-7 · Cited by 1,460 · see citing works
The emerging field of lipidomics
Wenk, M. R. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1776 · Cited by 1,325 · see citing works
Calorie Restriction-like Effects of 30 Days of Resveratrol Supplementation on Energy Metabolism and Metabolic Profile in Obese Humans
Timmers, S., Konings, E., Bilet, L., Houtkooper, R. H., van de Weijer, T., Goossens, G. H., Hoeks, J., van der Krieken, S., Ryu, D., Kersten, S., et al. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.10.002 · Cited by 1,320 · see citing works
Vitamin D for health: a global perspective
Hossein-nezhad, A., & Holick, M. F. (2013) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2013.05.011 · Cited by 1,298 · see citing works
Personal omics profiling reveals dynamic molecular and medical phenotypes
Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.009 · Cited by 1,291 · see citing works
DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific
Tobi, E. W., Lumey, L. H., Talens, R. P., Kremer, D., Putter, H., Stein, A. D., Slagboom, P. E., & Heijmans, B. T. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp353 · Cited by 1,157 · see citing works
Biomarkers of Nutrition for Development—Folate Review
Bailey, L. B., Stover, P. J., McNulty, H., Fenech, M. F., Gregory, J. F., Mills, J. L., Pfeiffer, C. M., Fazili, Z., Zhang, M., Ueland, P. M., et al. (2015) · Journal of Nutrition · doi:10.3945/jn.114.206599 · Cited by 1,147 · see citing works
Diet-Independent Correlations between Bacteria and Dysfunction of Gut, Adipose Tissue, and Liver: A Comprehensive Microbiota Analysis in Feces and Mucosa of the Ileum and Colon in Obese Mice with NAFLD
Gart, E., Lima, E. S., Schuren, F. H. J., de Ruiter, C., Attema, J., Verschuren, L., Keijer, J., Salic, K., Morrison, M. C., & Kleemann, R. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms20010001 · Cited by 1,098 · see citing works
Self-citation
Identification of a variant associated with adult-type hypolactasia
Enattah, N. S., Sahi, T., Savilahti, E., Terwilliger, J. D., Peltonen, L., & Järvelä, I. E. (2002) · Nature Genetics · doi:10.1038/ng826 · Cited by 1,029 · see citing works
The Biochemistry and Physiology of Mitochondrial Fatty Acid β-Oxidation and Its Genetic Disorders
Houten, S. M., Violante, S. N., Ventura, F. V., & Wanders, R. J. A. (2015) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105045 · Cited by 938 · see citing works
Metabolomics and Metabolic Diseases: Where Do We Stand?
Newgard, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.018 · Cited by 756 · see citing works
Development of type 2 diabetes following intrauterine growth retardation in rats is associated with progressive epigenetic silencing of Pdx1
Park, J. H., Stoffers, D. A., Nicholls, R. D., & Simmons, R. A. (2008) · Journal of Clinical Investigation · doi:10.1172/jci33655 · Cited by 640 · see citing works
Biomarkers of Nutrition for Development (BOND)—Zinc Review
King, J. C., Brown, K. H., Gibson, R. S., Krebs, N. F., Lowe, N. M., Siekmann, J. H., & Raiten, D. J. (2016) · Journal of Nutrition · doi:10.3945/jn.115.220079 · Cited by 581 · see citing works
Shifts on Gut Microbiota Associated to Mediterranean Diet Adherence and Specific Dietary Intakes on General Adult Population
Garcia-Mantrana, I., Selma-Royo, M., Alcantara, C., & Collado, M. C. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00890 · Cited by 574 · see citing works
Higher Fecal Short-Chain Fatty Acid Levels Are Associated with Gut Microbiome Dysbiosis, Obesity, Hypertension and Cardiometabolic Disease Risk Factors
De la Cuesta-Zuluaga, J., Mueller, N., Álvarez-Quintero, R., Velásquez-Mejía, E., Sierra, J., Corrales-Agudelo, V., Carmona, J., Abad, J., & Escobar, J. (2018) · Nutrients · doi:10.3390/nu11010051 · Cited by 533 · 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 · cited 1× · see citing works
“1-Methylhistidine Urine Meat and oily fish consumption Original research [27,35,36] Reviewed in References [30,37]”
Method
Biomarkers of Fat and Fatty Acid Intake
Arab, L. (2003) · The Journal of Nutrition · doi:10.1093/jn/133.3.925s · Cited by 518 · see citing works
Maternal nutrition at conception modulates DNA methylation of human metastable epialleles
Dominguez-Salas, P., Moore, S. E., Baker, M. S., Bergen, A. W., Cox, S. E., Dyer, R. A., Fulford, A. J., Guan, Y., Laritsky, E., Silver, M. J., et al. (2014) · Nature Communications · doi:10.1038/ncomms4746 · Cited by 506 · see citing works
Gut microbiota composition and activity in relation to host metabolic phenotype and disease risk
Holmes, E., Li, J. V., Marchesi, J. R., & Nicholson, J. K. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.10.007 · Cited by 490 · see citing works
Season of Conception in Rural Gambia Affects DNA Methylation at Putative Human Metastable Epialleles
Waterland, R. A., Kellermayer, R., Laritsky, E., Rayco‐Solon, P., Harris, R. A., Travisano, M., Zhang, W., Torskaya, M. S., Zhang, J., Shen, L., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001252 · Cited by 454 · see citing works
Metabolism of Antioxidant and Chemopreventive Ellagitannins from Strawberries, Raspberries, Walnuts, and Oak-Aged Wine in Humans: Identification of Biomarkers and Individual Variability
Cerdá, B., Tomás-Barberán, F. A., & Espı́n, J. C. (2004) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf049144d · Cited by 448 · see citing works
MicroRNAs Are Absorbed in Biologically Meaningful Amounts from Nutritionally Relevant Doses of Cow Milk and Affect Gene Expression in Peripheral Blood Mononuclear Cells, HEK-293 Kidney Cell Cultures, and Mouse Livers
Baier, S. R., Nguyen, C., Xie, F., Wood, J. R., & Zempleni, J. (2014) · Journal of Nutrition · doi:10.3945/jn.114.196436 · Cited by 446 · see citing works
Direct RNA sequencing
Ozsolak, F., Platt, A. R., Jones, D. R., Reifenberger, J. G., Sass, L. E., McInerney, P., Thompson, J. F., Bowers, J., Jarosz, M., & Milos, P. M. (2009) · Nature · doi:10.1038/nature08390 · Cited by 433 · see citing works
Impact of maternal nutrition on breast-milk composition: a systematic review,
Bravi, F., Wiens, F., Decarli, A., Pont, A. D., Agostoni, C. V., & Ferraroni, M. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.120881 · Cited by 407 · see citing works
Precision Nutrition and the Microbiome, Part I: Current State of the Science
Mills, S., Stanton, C., Lane, J. A., Smith, G., & Ross, R. P. (2019) · Nutrients · doi:10.3390/nu11040923 · Cited by 406 · see citing works
Metabolite Profiling of Hydroxycinnamate Derivatives in Plasma and Urine after the Ingestion of Coffee by Humans: Identification of Biomarkers of Coffee Consumption
Stalmach, A., Mullen, W., Barron, D., Uchida, K., Yokota, T., Cavin, C., Steiling, H., Williamson, G., & Crozier, A. (2009) · Drug Metabolism and Disposition · doi:10.1124/dmd.109.028019 · Cited by 401 · see citing works
Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine
Hagan, S., Martin, E., & Enríquez‐de‐Salamanca, A. (2016) · The EPMA Journal · doi:10.1186/s13167-016-0065-3 · Cited by 401 · see citing works
Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
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 · see citing works
Biomarkers of Selenium Status
Combs, G. F. (2015) · Nutrients · doi:10.3390/nu7042209 · Cited by 386 · see citing works
Need for Technological Innovation in Dietary Assessment
Thompson, F. E., Subar, A. F., Loria, C. M., Reedy, J. L., & Baranowski, T. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.008 · Cited by 349 · see citing works
Mass spectrometric based approaches in urine metabolomics and biomarker discovery
Khamis, M. M., Adamko, D. J., & El‐Aneed, A. (2015) · Mass Spectrometry Reviews · doi:10.1002/mas.21455 · Cited by 344 · see citing works
Lipids Reprogram Metabolism to Become a Major Carbon Source for Histone Acetylation
McDonnell, E., Crown, S. B., Fox, D. B., Kitir, B., Ilkayeva, O., Olsen, C. A., Grimsrud, P. A., & Hirschey, M. D. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.10.012 · Cited by 343 · see citing works
Stabilization of mRNA Expression in Whole Blood Samples
Rainen, L., Oelmüller, U., Jurgensen, S. R., Wyrich, R., Ballas, C., Schram, J., Herdman, C. A., Bankaitis-Davis, D. M., Nicholls, N. J., Trollinger, D. B., et al. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.11.1883 · Cited by 330 · see citing works
Selenoproteins: Antioxidant selenoenzymes and beyond
Steinbrenner, H., Speckmann, B., & Klotz, L. (2016) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2015.06.024 · Cited by 327 · see citing works
Identification of urolithin a as a metabolite produced by human colon microflora from ellagic acid and related compounds
Cerdá, B., Periago, P., Espín, J. C., & Tomás-Barberán, F. A. (2005) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf050384i · Cited by 301 · see citing works
Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297 · see citing works
The peripheral-blood transcriptome: new insights into disease and risk assessment
Mohr, S., & Liew, C. (2007) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2007.08.003 · Cited by 294 · see citing works
High-fat diet induced obesity primes inflammation in adipose tissue prior to liver in C57BL/6j mice
van der Heijden, R. A., Sheedfar, F., Morrison, M. C., Hommelberg, P. P. H., Kor, D., Kloosterhuis, N., Gruben, N., Youssef, S. A., de Bruin, A., Hofker, M. H., et al. (2015) · Aging · doi:10.18632/aging.100738 · Cited by 288 · see citing works
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
Cornelis, M. C., Byrne, E. M., Esko, T., Nalls, M. A., Ganna, A., Paynter, N. P., Monda, K. L., Amin, N., Fischer, K., Renström, F., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.107 · Cited by 287 · see citing works
OMICS-driven biomarker discovery in nutrition and health
Kussmann, M., Raymond, F., & Affolter, M. (2006) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2006.02.014 · Cited by 286 · 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
Extracellular Vesicles in Cardiovascular Disease
Jansen, F., Nickenig, G., & Werner, N. (2017) · Circulation Research · doi:10.1161/circresaha.117.310752 · Cited by 279 · see citing works
Some Dietary Fibers Reduce the Absorption of Carotenoids in Women
Riedl, J., Linseisen, J., Hoffmann, J., & Wolfram, G. (1999) · Journal of Nutrition · doi:10.1093/jn/129.12.2170 · Cited by 265 · see citing works
Biological Activities of Extracellular Vesicles and Their Cargos from Bovine and Human Milk in Humans and Implications for Infants
Zempleni, J., Aguilar-Lozano, A., Sadri, M., Sukreet, S., Manca, S., Wu, D., Zhou, F., & Mutai, E. (2016) · Journal of Nutrition · doi:10.3945/jn.116.238949 · Cited by 261 · see citing works
Quantity and source of dietary protein influence metabolite production by gut microbiota and rectal mucosa gene expression: A randomized, parallel, double-blind trial in overweight humans
Beaumont, M., Portune, K. J., Steuer, N., Lan, A., Cerrudo, V., Audebert, M., Dumont, F., Mancano, G., Khodorova, N., Andriamihaja, M., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.158816 · Cited by 250 · see citing works
Biomarkers in nutritional epidemiology
Bingham, S. A. (2002) · Public Health Nutrition · doi:10.1079/phn2002368 · Cited by 246 · see citing works
The Psychosocial and Behavioral Characteristics Related to Energy Misreporting
Maurer, J., Taren, D. L., Teixeira, P. J., Thomson, C. A., Lohman, T. G., Going, S. B., & Houtkooper, L. B. (2006) · Nutrition Reviews · doi:10.1111/j.1753-4887.2006.tb00188.x · Cited by 244 · see citing works
Relationship of Lead and Cadmium to Essential Elements in Hair, Teeth, and Nails of Environmentally Exposed People
Nowak, B., & Chmielnicka, J. (2000) · Ecotoxicology and Environmental Safety · doi:10.1006/eesa.2000.1921 · Cited by 228 · see citing works
Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake
Tanaka, T., Ngwa, J. S., van Rooij, F. J., Zillikens, M. C., Wojczynski, M. K., Frazier-Wood, A. C., Houston, D. K., Kanoni, S., Lemaitre, R. N., Luan, J., et al. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.052183 · Cited by 226 · cited 1× · see citing works
“These developments have facilitated genomic wide association studies (GWAS), which have allowed the discovery of new genes and polymorphic variants associated with intake of specific foods, such as coffee [145] or different macronutrients [146].”
Background
Biomarkers of Nutrient Exposure and Status in One-Carbon (Methyl) Metabolism
Mason, J. B. (2003) · Journal of Nutrition · doi:10.1093/jn/133.3.941s · Cited by 226 · see citing works
Literacy and Body Fatness are Associated with Underreporting of Energy Intake in US Low-Income Women Using the Multiple-Pass 24-hour Recall
Johnson, R. K., Soultanakis, R. P., & Matthews, D. E. (1998) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(98)00263-6 · Cited by 221 · 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
Biologic and Methodologic Issues for Nutritional Biomarkers
Potischman, N. A. (2003) · Journal of Nutrition · doi:10.1093/jn/133.3.875s · Cited by 203 · see citing works
Comparison of in vitro, animal, and clinical determinations of iron bioavailability: International Nutritional Anemia Consultative Group Task Force report on iron bioavailability
Forbes, A. L., Arnaud, M. J., Chichester, C. O., Cook, J. D., Harrison, B. N., Hurrell, R. F., Kahn, S. G., Morris, E. R., Tanner, J. T., & Whittaker, P. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.2.225 · Cited by 184 · see citing works
Gene expression of peripheral blood mononuclear cells as a tool in dietary intervention studies: What do we know so far?
de Mello, V. D., Kolehmanien, M., Schwab, U., Pulkkinen, L., & Uusitupa, M. I. J. (2012) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201100685 · Cited by 182 · see citing works
New windows into the brain: Central nervous system-derived extracellular vesicles in blood
Shi, M., Sheng, L., Stewart, T., Zabetian, C. P., & Zhang, J. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.01.005 · Cited by 181 · see citing works
Extracellular vesicles in cardiovascular diseases
Fu, S., Zhang, Y., Li, Y., Luo, L., Zhao, Y., & Yao, Y. (2020) · Cell Death Discovery · doi:10.1038/s41420-020-00305-y · Cited by 175 · see citing works
A Beginner’s Guide to Analysis of RNA Sequencing Data
Koch, C. M., Chiu, S. F., Akbarpour, M., Bharat, A., Ridge, K. M., Bartom, E. T., & Winter, D. R. (2018) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2017-0430tr · Cited by 174 · see citing works
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 · see citing works
Guide for Current Nutrigenetic, Nutrigenomic, and Nutriepigenetic Approaches for Precision Nutrition Involving the Prevention and Management of Chronic Diseases Associated with Obesity
Ramos-López, O., Milagro, F. I., Allayee, H., Chmurzyńska, A., Choi, M. S., Curi, R., Caterina, R. D., Ferguson, L. R., Goñi, L., Kang, J. X., et al. (2017) · Lifestyle Genomics · doi:10.1159/000477729 · Cited by 172 · see citing works
Challenging homeostasis to define biomarkers for nutrition related health
van Ommen, B., Keijer, J., Heil, S. G., & Kaput, J. (2009) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.200800390 · Cited by 167 · see citing works
Self-citation
Metabolic Inputs into the Epigenome
Sharma, U., & Rando, O. J. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.003 · Cited by 167 · see citing works
Extracellular Vesicle-Mediated Cell–Cell Communication in the Nervous System: Focus on Neurological Diseases
Bavisotto, C. C., Scalia, F., Marino, A., Carlisi, D., Bucchieri, F., de Macario, E. C., Macario, A. J. L., Cappello, F., & Campanella, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20020434 · Cited by 166 · see citing works
Nutrition, microRNAs, and Human Health
Cui, J., Zhou, B., Ross, S. A., & Zempleni, J. (2017) · Advances in Nutrition · doi:10.3945/an.116.013839 · Cited by 160 · see citing works
Importance of food composition data to nutrition and public health
Elmadfa, I., & Meyer, A. L. (2010) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2010.202 · Cited by 158 · see citing works
Saliva as a non-invasive diagnostic tool for inflammation and insulin-resistance
Desai, G. S. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i6.730 · Cited by 158 · see citing works
Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption
Lloyd, A. J., Beckmann, M., Favé, G., Mathers, J. C., & Draper, J. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511001164 · Cited by 152 · see citing works
Determinants of selenium status in healthy adults
Combs, G. F., Watts, J. C., Jackson, M. I., Johnson, L. K., Zeng, H., Scheett, A. J., Uthus, E. O., Schomburg, L., Hoeg, A., Hoefig, C. S., et al. (2011) · Nutrition Journal · doi:10.1186/1475-2891-10-75 · Cited by 151 · see citing works
The estimation of food portion sizes: a comparison between using descriptions of portion sizes and a photographic food atlas by children and adults
Frobisher, C., & Maxwell, S. M. (2003) · Journal of Human Nutrition and Dietetics · doi:10.1046/j.1365-277x.2003.00434.x · Cited by 151 · see citing works
Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countries
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 141 · see citing works
The Metabolism of Dietary Polyphenols and the Relevance to Circulating Levels of Conjugated Metabolites
Rechner, A. R., Kuhnle, G., Hu, H., Roedig‐Penman, A., van den Braak, M. H., Moore, K. P., & Rice-Evans, C. A. (2002) · Free Radical Research · doi:10.1080/246-1071576021000016472 · Cited by 140 · see citing works
Use of Urine Biomarkers to Assess Sodium Intake: Challenges and Opportunities
Cogswell, M. E., Maalouf, J., Elliott, P., Loria, C. M., Patel, S., & Bowman, B. A. (2015) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071714-034322 · Cited by 140 · see citing works
Measurement of caffeic and ferulic acid equivalents in plasma after coffee consumption: Small intestine and colon are key sites for coffee metabolism
Renouf, M., Guy, P. A., Marmet, C., Fraering, A.-L., Longet, K., Moulin, J., Enslen, M., Barron, D., Dionisi, F., Cavin, C., et al. (2009) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.200900056 · Cited by 137 · see citing works
Towards utilization of the human genome and microbiome for personalized nutrition
Bashiardes, S., Godneva, A., Elinav, E., & Segal, E. (2017) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2017.11.013 · Cited by 137 · see citing works
Present Status and Perspectives on the Use of Alkylresorcinols as Biomarkers of Wholegrain Wheat and Rye Intake
Ross, A. B. (2012) · Journal of Nutrition and Metabolism · doi:10.1155/2012/462967 · Cited by 136 · see citing works
MicroRNAs from plants to animals, do they define a new messenger for communication?
Li, Z., Xu, R., & Li, N. (2018) · Nutrition & Metabolism · doi:10.1186/s12986-018-0305-8 · Cited by 134 · see citing works
Analysis of Compounds in Human Breath after Ingestion of Garlic Using Proton-Transfer-Reaction Mass Spectrometry
Taucher, J., Hansel, A., Jordan, A., & Lindinger, W. (1996) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf960640e · Cited by 133 · see citing works
Phenotypic flexibility as key factor in the human nutrition and health relationship
van Ommen, B., van der Greef, J., Ordovas, J. M., & Daniel, H. (2014) · Genes & Nutrition · doi:10.1007/s12263-014-0423-5 · Cited by 133 · 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
Biomarkers of meat intake and the application of nutrigenomics
Dragsted, L. O. (2009) · Meat Science · doi:10.1016/j.meatsci.2009.08.028 · Cited by 129 · see citing works
Expression of Adipose MicroRNAs Is Sensitive to Dietary Conjugated Linoleic Acid Treatment in Mice
Parra, P., Serra, F. A., & Palou, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013005 · Cited by 129 · see citing works
Self-citation
The Emerging Role of microRNAs and Nutrition in Modulating Health and Disease
Ross, S. A., & Davis, C. D. (2014) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071813-105729 · Cited by 127 · see citing works
Plant Ferritin—A Source of Iron to Prevent Its Deficiency
Zielińska‐Dawidziak, M. (2015) · Nutrients · doi:10.3390/nu7021184 · Cited by 123 · see citing works
Unraveling the molecular repertoire of tears as a source of biomarkers: Beyond ocular diseases
Pieragostino, D., D’Alessandro, M., di Ioia, M., Ilio, C. D., Sacchetta, P., & Boccio, P. D. (2014) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201400084 · Cited by 122 · see citing works
Dietary methods and biomarkers of omega 3 fatty acids: a systematic review
Serra‐Majem, L., Nissensohn, M., Øverby, N. C., & Fekete, K. (2012) · British Journal Of Nutrition · doi:10.1017/s000711451200147x · Cited by 120 · see citing works
MicroRNAs and other non-coding RNAs in adipose tissue and obesity: emerging roles as biomarkers and therapeutic targets
Lorente‐Cebrián, S., González‐Muniesa, P., Milagro, F. I., & Martínez, J. A. (2019) · Clinical Science · doi:10.1042/cs20180890 · Cited by 120 · see citing works
Acute anti‐hyperglycaemic effects of an unripe apple preparation containing phlorizin in healthy volunteers: a preliminary study
Makarova, E., Górnaś, P., Konrāde, I., Tirzīte, D., Cirule, H., Gulbe, A., Pugajeva, I., Segliņa, D., & Dambrova, M. (2014) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.6779 · Cited by 117 · see citing works
Four selenoproteins, protein biosynthesis, and Wnt signalling are particularly sensitive to limited selenium intake in mouse colon
Kipp, A. P., Banning, A., van Schothorst, E. M., Méplan, C., Schomburg, L., Evelo, C. T., Coort, S. L., Gaj, S., Keijer, J., Hesketh, J. E., et al. (2009) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.200900105 · Cited by 117 · see citing works
Self-citation
Executive summary—Biomarkers of Nutrition for Development: Building a Consensus
Raiten, D. J., Namaste, S. M. L., Brabin, B. J., Combs, G. F., L’Abbé, M. R., Wasantwisut, E., & Darnton‐Hill, I. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.008227 · Cited by 117 · see citing works
Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge
Wopereis, S., Stroeve, J. H. M., Stafleu, A., Bakker, G. C. M., Burggraaf, J., van Erk, M. J., Pellis, L., Boessen, R., Kardinaal, A. A. F., & van Ommen, B. (2017) · Genes & Nutrition · doi:10.1186/s12263-017-0570-6 · Cited by 116 · see citing works
Nutrigenomics in the modern era
Mathers, J. C. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s002966511600080x · Cited by 111 · 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
Metabolomics‐Based Dietary Biomarkers in Nutritional Epidemiology—Current Status and Future Opportunities
Brennan, L., & Hu, F. B. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201701064 · Cited by 108 · see citing works
Human tear proteomics and peptidomics in ophthalmology: Toward the translation of proteomic biomarkers into clinical practice
Azkargorta, M., Soria, J. M., Acera, A., Iloro, I., & Elortza, F. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.05.006 · Cited by 104 · see citing works
Determination of Allicin, S-Allylcysteine and Volatile Metabolites of Garlic in Breath, Plasma or Simulated Gastric Fluids
Rosen, R. T., Hiserodt, R. D., Fukuda, E. K., Ruiz, R. J., Zhou, Z., Lech, J. W., Rosen, S. L., & Hartman, T. G. (2001) · Journal of Nutrition · doi:10.1093/jn/131.3.968s · Cited by 104 · see citing works
Plasma alkylresorcinols as a biomarker of whole-grain food consumption in a large population: results from the WHOLEheart Intervention Study
Ross, A. B., Bourgeois, A., Macharia, H. N., Kochhar, S., Jebb, S. A., Brownlee, I. A., & Seal, C. J. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.008508 · Cited by 103 · see citing works
Vitamin C – A new player in regulation of the cancer epigenome
Gillberg, L., Ørskov, A. D., Liu, M., Harsløf, L. B. S., Jones, P. A., & Grønbæk, K. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2017.11.001 · Cited by 100 · 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
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 99 · see citing works
Metabolic Programming in the Immediate Postnatal Life
Patel, M., & Srinivasan, M. (2011) · Annals of Nutrition and Metabolism · doi:10.1159/000328040 · Cited by 96 · see citing works
How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
Molin, A. D., & Camillo, B. D. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby007 · Cited by 94 · see citing works
Breath analysis as a potential diagnostic tool for tuberculosis
Kolk, A. H. J., van Berkel, J. J. B. N., Claassens, M. M., Walters, E. G., Kuijper, S., Dallinga, J. W., & van Schooten, F. (2012) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.11.0576 · Cited by 93 · see citing works
Food intake biomarkers for apple, pear, and stone fruit
Ulaszewska, M., Vázquez-Manjarrez, N., Garcia‐Aloy, M., Llorach, R., Mattivi, F., Dragsted, L. O., Praticò, G., & Manach, C. (2018) · Genes & Nutrition · doi:10.1186/s12263-018-0620-8 · Cited by 92 · see citing works
Proteomic Biomarker Discovery in 1000 Human Plasma Samples with Mass Spectrometry
Cominetti, O., Galindo, A. N., Corthésy, J., Moreno, S. O., Irincheeva, I., Valsesia, A., Astrup, A. V., Saris, W. H. M., Hager, J., Kussmann, M., et al. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00901 · Cited by 91 · see citing works
The future of nutrition: Nutrigenomics and nutrigenetics in obesity and cardiovascular diseases
Peña-Romero, A. C., Navas-Carrillo, D., Marín, F. R., & Orenes‐Piñero, E. (2017) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2017.1349731 · Cited by 90 · see citing works
Vitamin B3 and sirtuin function
Denu, J. M. (2005) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2005.07.004 · Cited by 89 · see citing works
Circulating profiling reveals the effect of a polyunsaturated fatty acid-enriched diet on common microRNAs.
Ortega, F., Cardona-Alvarado, M., Mercader, J., Moreno-Navarrete, J., Moreno, M., Sabater, M., Fuentes-Batllevell, N., Ramírez-Chávez, E., Ricart, W., Molina-Torres, J., et al. (2015) · Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2015.05.001 · Cited by 87 · see citing works
Microbiome and metabolome data integration provides insight into health and disease
Shaffer, M., Armstrong, A. J. S., Phelan, V. V., Reisdorph, N. A., & Lozupone, C. (2017) · Translational research · doi:10.1016/j.trsl.2017.07.001 · Cited by 85 · see citing works
Untargeted Metabolomics Identifies Novel Potential Biomarkers of Habitual Food Intake in a Cross-Sectional Study of Postmenopausal Women
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 85 · see citing works
Phylloquinone intake and risk of cardiovascular diseases in men
Erkkilä, A. T., Booth, S. L., Hu, F. B., Jacques, P. F., & Lichtenstein, A. H. (2006) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2006.03.008 · Cited by 85 · see citing works
Selenium and Chronic Diseases: A Nutritional Genomics Perspective
Méplan, C. (2015) · Nutrients · doi:10.3390/nu7053621 · Cited by 84 · see citing works
Impact of sirtuin-1 expression on H3K56 acetylation and oxidative stress: a double-blind randomized controlled trial with resveratrol supplementation
Bo, S., Togliatto, G., Gambino, R., Ponzo, V., Lombardo, G., Rosato, R., Cassader, M., & Brizzi, M. F. (2018) · Acta Diabetologica · doi:10.1007/s00592-017-1097-4 · Cited by 84 · see citing works
Variability of gene expression profiles in human blood and lymphoblastoid cell lines
Min, J. L., Barrett, A., Watts, T., Pettersson, F. H., Lockstone, H. E., Lindgren, C. M., Taylor, J. M., Allen, M., Zondervan, K. T., & McCarthy, M. I. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-96 · Cited by 84 · see citing works
Limitations of alignment-free tools in total RNA-seq quantification
Wu, D. C., Yao, J., Ho, K. S., Lambowitz, A. M., & Wilke, C. O. (2018) · BMC Genomics · doi:10.1186/s12864-018-4869-5 · Cited by 83 · see citing works
Leptin as a breast milk component for the prevention of obesity
Palou, M., Picó, C., & Palou, A. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nuy046 · Cited by 82 · see citing works
Self-citation
Vitamin E Metabolic Effects and Genetic Variants: A Challenge for Precision Nutrition in Obesity and Associated Disturbances
Galmés, S., Serra, F. A., & Palou, A. (2018) · Nutrients · doi:10.3390/nu10121919 · Cited by 82 · see citing works
Self-citation
Integrated Lipidomics and Metabolomics Analysis of Tears in Multiple Sclerosis: An Insight into Diagnostic Potential of Lacrimal Fluid
Cicalini, I., Rossi, C., Pieragostino, D., Agnifili, L., Mastropasqua, L., di Ioia, M., Luca, G. D., ONOFRJ, M. C., Federici, L., & Boccio, P. D. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061265 · Cited by 82 · see citing works
Biomarkers: background, classification and guidelines for applications in nutritional epidemiology.
Corella, D., & Ordovás, J. M. (2015) · PubMed · doi:10.3305/nh.2015.31.sup3.8765 · Cited by 80 · see citing works
Metabonomics of Newborn Screening Dried Blood Spot Samples: A Novel Approach in the Screening and Diagnostics of Inborn Errors of Metabolism
Dénes, J., Szabó, E., Robinette, S. L., Szatmári, I., Szönyi, L., Kreuder, J. G., Rauterberg, E. W., & Takáts, Z. (2012) · Analytical Chemistry · doi:10.1021/ac302527m · Cited by 79 · see citing works
Impairment of lysophospholipid metabolism in obesity: altered plasma profile and desensitization to the modulatory properties of n–3 polyunsaturated fatty acids in a randomized controlled trial
Bas-Prior, J. M. D., Caimari, A., Rodriguez-Naranjo, M. I., Childs, C. E., Paras-Chavez, C., West, A. L., Miles, E. A., Arola, L., & Calder, P. C. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.130872 · Cited by 79 · see citing works
Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham Heart Study
Joehanes, R., Johnson, A. D., Barb, J. J., Raghavachari, N., Liu, P., Woodhouse, K. A., O’Donnell, C. J., Munson, P. J., & Levy, D. A. (2011) · Physiological Genomics · doi:10.1152/physiolgenomics.00130.2011 · Cited by 78 · see citing works
Degradation and antioxidant activities of peptides and zinc–peptide complexes during in vitro gastrointestinal digestion
Wang, C., Лі, Б., Wang, B., & Xie, N. (2014) · Food Chemistry · doi:10.1016/j.foodchem.2014.10.066 · Cited by 77 · see citing works
Mercury in Saliva and Feces after Removal of Amalgam Fillings
Bjorkman, L. L., Sandborgh‐Englund, G., & Ekstrand, J. (1997) · Toxicology and Applied Pharmacology · doi:10.1006/taap.1997.8128 · Cited by 77 · see citing works
Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study
Bouchard‐Mercier, A., Paradis, A.-M., Rudkowska, I., Lemieux, S., Couture, P., & Vohl, M. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-24 · Cited by 76 · see citing works
DNA methylation in obesity and type 2 diabetes
de Mello, V. D., Pulkkinen, L., Lalli, M., Kolehmainen, M., Pihlajamäki, J., & Uusitupa, M. I. J. (2014) · Annals of Medicine · doi:10.3109/07853890.2013.857259 · Cited by 76 · see citing works
Metabolomics of fecal samples: A practical consideration
Matysik, S., Roy, C. I. L., Liebisch, G., & Claus, S. P. (2016) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2016.05.011 · Cited by 76 · see citing works
ω-3 Tear Film Lipids Correlate With Clinical Measures of Dry Eye
Walter, S. D., Gronert, K., McClellan, A. L., Levitt, R. C., Sarantopoulos, K. D., & Galor, A. (2016) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.16-19131 · Cited by 76 · see citing works
Advances in Understanding the Molecular Basis of the Mediterranean Diet Effect
Corella, D., Coltell, Ó., Macián, F., & Ordovás, J. M. (2018) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-032217-020802 · Cited by 74 · see citing works
Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery
Praticò, G., Gao, Q., Scalbert, A., Vergères, G., Kolehmainen, M., Manach, C., Brennan, L., Harsha, P. S. C. S., Afman, L. A., Wishart, D. S., et al. (2018) · Genes & Nutrition · doi:10.1186/s12263-018-0592-8 · Cited by 74 · see citing works
Biomarkers of legume intake in human intervention and observational studies: a systematic review
Harsha, P. S. C. S., Wahab, R. A., Garcia‐Aloy, M., Madrid-Gambín, F., Estruel‐Amades, S., Watzl, B., Andrés‐Lacueva, C., & Brennan, L. (2018) · Genes & Nutrition · doi:10.1186/s12263-018-0614-6 · Cited by 74 · see citing works
Protective effects of leptin during the suckling period against later obesity may be associated with changes in promoter methylation of the hypothalamic pro-opiomelanocortin gene
Palou, M., Picó, C., McKay, J. A., Sánchez, J., Priego, T., Mathers, J. C., & Palou, A. (2011) · British Journal Of Nutrition · doi:10.1017/s0007114511000973 · Cited by 74 · see citing works
Self-citation
Early environmental factors, alteration of epigenetic marks and metabolic disease susceptibility
Portha, B., Fournier, A., Kioon, M. D. A., Mezger, V., & Movassat, J. (2013) · Biochimie · doi:10.1016/j.biochi.2013.10.003 · Cited by 73 · see citing works
Urinary 1-methylhistidine is a marker of meat consumption in black and in white California Seventh-day Adventists
Myint, T. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.8.752 · 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
Preservation of Metabolic Flexibility in Skeletal Muscle by a Combined Use of n-3 PUFA and Rosiglitazone in Dietary Obese Mice
Horakova, O., Medříková, D., van Schothorst, E. M., Bunschoten, A., Flachs, P., Kůs, V., Kuda, O., Bardová, K., Janovská, P., Hensler, M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043764 · Cited by 70 · see citing works
Self-citation
Use of hair analysis for evaluating mercury intoxication of the human body: A review
Katz, S. A., & Katz, R. B. (1992) · Journal of Applied Toxicology · doi:10.1002/jat.2550120203 · Cited by 70 · see citing works
Response of apolipoprotein E*3‐Leiden transgenic mice to dietary fatty acids: combining liver proteomics with physiological data
de Roos, B., Duivenvoorden, I., Rucklidge, G. J., Reid, M., Ross, K., Lamers, R.-J. A. N., Voshol, P. J., Havekes, L. M., & Teusink, B. (2005) · The FASEB Journal · doi:10.1096/fj.04-2974fje · Cited by 70 · see citing works
Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples
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 69 · see citing works
Peripheral blood mononuclear cells: a potential source of homeostatic imbalance markers associated with obesity development
Oliver, P., Reynés, B., Caimari, A., & Palou, A. (2013) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-013-1246-8 · Cited by 69 · see citing works
Self-citation
Novel omics technologies in nutrition research
Zhang, X., Yap, Y., Wei, D., Chen, G., & Chen, F. (2007) · Biotechnology Advances · doi:10.1016/j.biotechadv.2007.11.002 · Cited by 68 · see citing works
Milk fat biomarkers and cardiometabolic disease
Risérus, U., & Marklund, M. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000381 · Cited by 68 · see citing works
Mito-Nuclear Communication by Mitochondrial Metabolites and Its Regulation by B-Vitamins
Janssen, J. J. E., Grefte, S., Keijer, J., & de Boer, V. C. J. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00078 · Cited by 68 · see citing works
Self-citation
Metabolomics-Based Analysis of Banana and Pear Ingestion on Exercise Performance and Recovery
Nieman, D. C., Gillitt, N. D., Sha, W., Meaney, M. P., John, C. S., Pappan, K. L., & Kinchen, J. M. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00909 · Cited by 67 · see citing works
Clinical impact of human breast milk metabolomics
Marincola, F. C., Dessì, A., Corbu, S., Reali, A., & Fanos, V. (2015) · Clinica Chimica Acta · doi:10.1016/j.cca.2015.02.021 · Cited by 66 · see citing works
Epigenomic profiling indicates a role for DNA methylation in early postnatal liver development
Waterland, R. A., Kellermayer, R., Rached, M.-T., Tatevian, N., Gomes, M. V., Zhang, J., Zhang, L., Chakravarty, A., Zhu, W., Laritsky, E., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp241 · Cited by 65 · see citing works
Genotype–Phenotype Associations: Modulation by Diet and Obesity
Ordovás, J. M. (2008) · Obesity · doi:10.1038/oby.2008.515 · 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
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 · see citing works
Effects of short‐ and long‐term Mediterranean‐based dietary treatment on plasma LC‐QTOF/MS metabolic profiling of subjects with metabolic syndrome features: The Metabolic Syndrome Reduction in Navarra (RESMENA) randomized controlled trial
Bondia‐Pons, I., Martínez, J. A., de la Iglesia, R., Lopez‐Legarrea, P., Poutanen, K. S., Hanhineva, K., & Zulet, M. Á. (2015) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201400309 · Cited by 62 · see citing works
Vesicle-MaNiA: extracellular vesicles in liquid biopsy and cancer
Torrano, V., Royo, F., Peinado, H., Loizaga‐Iriarte, A., Unda, M., Falcón‐Pérez, J. M., & Carracedo, A. (2016) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2016.06.003 · Cited by 62 · see citing works
Nutritional aspects of metabolic inflammation in relation to health—insights from transcriptomic biomarkers in PBMC of fatty acids and polyphenols
Afman, L. A., Milenković, D., & Roche, H. M. (2014) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201300559 · Cited by 61 · see citing works
Meta-analysis of genome-wide association studies for circulating phylloquinone concentrations
Dashti, H. S., Shea, M. K., Smith, C. E., Tanaka, T., Hruby, A., Richardson, K., Wang, T. J., Nalls, M. A., Guo, X., Liu, Y., et al. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.093146 · Cited by 61 · 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
A Review of Cutoffs for Nutritional Biomarkers.
Raghavan, R., Sakr-Ashour, F. A., & Bailey, R. L. (2016) · Advances in Nutrition · doi:10.3945/an.115.009951 · Cited by 59 · see citing works
Changes in vitamin D target gene expression in adipose tissue monitor the vitamin D response of human individuals
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Wierdsma, N., Peters, J., de van der Schueren, M. A. E., Mulder, C. J. J., Metgod, I., & Bodegraven, A. A. V. (2013) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12113 · Cited by 47 · see citing works
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Self-citation
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Self-citation
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Jandke, J., & Spiteller, G. (1987) · Journal of Chromatography B Biomedical Sciences and Applications · doi:10.1016/0378-4347(87)80373-0 · Cited by 41 · see citing works
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Self-citation
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Self-citation
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Pennant, M. E., Steur, M., Moore, C. S., Butterworth, A. S., & Johnson, L. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114515003165 · Cited by 37 · see citing works
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Marcotegui, A. R., Olivera-Olmedo, J. E., Valverde-Visus, F. S., Palacios-Sarrasqueta, M., Grijalba-Uche, A., & García-Merlo, S. (1998) · Clinical Chemistry · doi:10.1093/clinchem/44.7.1540 · Cited by 37 · see citing works
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Self-citation
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Self-citation
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Self-citation
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Self-citation
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Odriozola, L., & Corrales, F. J. (2015) · International Journal of Food Sciences and Nutrition · doi:10.3109/09637486.2015.1038224 · Cited by 30 · see citing works
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Self-citation
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Martı́nez-Poveda, B., Torres‐Vargas, J. A., Ocaña, M. D. C. O., García‐Caballero, M., Medina, M. Á., & Quesada, A. R. (2019) · Nutrients · doi:10.3390/nu11092036 · Cited by 34 · see citing works
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Pokushalov, E., Ponomarenko, A., Shrainer, E., Kudlay, D. A., & Miller, R. (2024) · Nutrients · doi:10.3390/nu16234033 · Cited by 35 · see citing works
Dietary Modulation of Metabolic Health: From Bioactive Compounds to Personalized Nutrition
Leziak, A., Lipina, J., Reclik, M., & Kocełak, P. (2025) · Metabolites · doi:10.3390/metabo15090624 · Cited by 36 · see citing works
Reprint of: Precision nutrition: A review of current approaches and future endeavors
Livingstone, K. M., Ramos-López, O., Përusse, L., Kato, H., Ordovás, J. M., & Martínez, J. A. (2022) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2022.10.010 · Cited by 30 · see citing works
Foodomics: A sustainable approach for the specific nutrition and diets for human health
Mahato, D. K., Kamle, M., Pandhi, S., Pandey, S., Gupta, A., Paul, V., Kalsi, R., Agrawal, S., Islam, D., Khare, S., et al. (2024) · Food Chemistry X · doi:10.1016/j.fochx.2024.101872 · Cited by 30 · see citing works
Foodomics in health: Advanced techniques for studying the bioactive role of foods
Ortea, I. (2022) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2022.116589 · Cited by 29 · see citing works
DNA methylation of hypertension-related genes and effect of riboflavin supplementation in adults stratified by genotype for the MTHFR C677T polymorphism
Amenyah, S., Ward, M., McMahon, A., Deane, J., McNulty, H., Hughes, C., Strain, J., Horigan, G., Purvis, J., Walsh, C. P., et al. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2020.09.011 · Cited by 29 · see citing works
A review on rutin-loaded nanocarriers: Fundamentals, bioavailability, application in functional foods, and challenges
Rashidinejad, A., Dima, C. V., Karaça, A. C., & Jafari, S. M. (2024) · European Polymer Journal · doi:10.1016/j.eurpolymj.2024.113385 · Cited by 29 · see citing works
Metabolomic Profile of Different Dietary Patterns and Their Association with Frailty Index in Community-Dwelling Older Men and Women
Tanaka, T., Talegawkar, S. A., Jin, Y., Candia, J., Tian, Q., Moaddel, R., Simonsick, E. M., & Ferrucci, L. (2022) · Nutrients · doi:10.3390/nu14112237 · Cited by 27 · see citing works
Vegetarian diets, circulating miRNA expression and healthspan in subjects living in the Blue Zone
Liu, T., Gatto, N. M., Chen, Z., Qiu, H., Lee, G., Duerksen-Hughes, P., Fraser, G., & Wang, C. (2020) · Precision Clinical Medicine · doi:10.1093/pcmedi/pbaa037 · Cited by 26 · see citing works
Healthy Eating Index and Nutrition Biomarkers among Army Soldiers and Civilian Control Group Indicate an Intervention Is Necessary to Raise Omega-3 Index and Vitamin D and Improve Diet Quality
Rittenhouse, M. A., Scott, J. M., & Deuster, P. A. (2020) · Nutrients · doi:10.3390/nu13010122 · Cited by 26 · see citing works
Decentralized vitamin C & D dual biosensor chip: Toward personalized immune system support
Montiel, V. R., Sempionatto, J. R., Vargas, E., Bailey, E., May, J., Bulbarello, A., Düsterloh, A., Matusheski, N. V., & Wang, J. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113590 · Cited by 26 · see citing works
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Tidman, M. M. (2022) · Cureus · doi:10.7759/cureus.23684 · Cited by 26 · see citing works
Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan
Shibutami, E., Ishii, R., Harada, S., Kurihara, A., Kuwabara, K., Kato, S., Iida, M., Akiyama, M. O., Sugiyama, D., Hirayama, A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246456 · Cited by 26 · see citing works
A Decision Framework for Selecting Critically Important Nutrients from Aquatic Foods
Zamborain‐Mason, J., Viana, D. F., Nicholas, K., Jackson, E. D., Koehn, J. Z., Passarelli, S., Yoo, S., Zhang, A. W., Davin, H. C., Duggan, C., et al. (2023) · Current Environmental Health Reports · doi:10.1007/s40572-023-00397-5 · Cited by 27 · see citing works
Food Diary, Food Frequency Questionnaire, and 24-Hour Dietary Recall
Saravia, L., Moliterno, P., Skapino, E., & Moreno, L. A. (2022) · Methods and protocols in food science · doi:10.1007/978-1-0716-2345-9_15 · Cited by 25 · see citing works
AI-Driven Personalized Nutrition Apps and Platforms for Enhanced Diet and Wellness
Prasad, G., Padhiary, M., Hoque, A., & Kumar, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9025-2.ch006 · Cited by 26 · see citing works
Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health
Masania, J., Faustmann, G., Anwar, A., Hafner-Gießauf, H., Rajpoot, N., Grabher, J., Rajpoot, K., Tiran, B., Obermayer-Pietsch, B. M., Winklhofer‐Roob, B. M., et al. (2019) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2019/4851323 · Cited by 25 · see citing works
Extracellular flux analyses reveal differences in mitochondrial PBMC metabolism between high-fit and low-fit females
Janssen, J. J. E., Lagerwaard, B., Porbahaie, M., Nieuwenhuizen, A. G., Savelkoul, H. F. J., van Neerven, R. J. J., Keijer, J., & de Boer, V. C. J. (2022) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00365.2021 · Cited by 25 · see citing works
Self-citation
A Scoping Review of the Application of Metabolomics in Nutrition Research: The Literature Survey 2000–2019
Shibutami, E., & Takebayashi, T. (2021) · Nutrients · doi:10.3390/nu13113760 · Cited by 24 · see citing works
Minimally invasive biomarkers in human and non‐human primate evolutionary biology: Tools for understanding variation and adaptation
Urlacher, S., Kim, E. Y., Luan, T., Young, L. J., & Adjetey, B. (2022) · American Journal of Human Biology · doi:10.1002/ajhb.23811 · Cited by 21 · see citing works
Ultra-processed food consumption and associations with biomarkers of nutrition and inflammation in pregnancy: The Norwegian Environmental Biobank
Kelsey, P. T., Papadopoulou, E., Borge, T. C., Dahl, C., Brantsæter, A. L., Erlund, I., Meltzer, H. M., Haug, L. S., & Caspersen, I. H. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1052001 · Cited by 24 · see citing works
Precision Nutrition and Metabolic Syndrome Management
González‐Muniesa, P., & Martínez, J. A. (2019) · Nutrients · doi:10.3390/nu11102411 · Cited by 24 · see citing works
Standardization of laboratory practices and reporting of biomarker data in clinical nutrition research
O’Callaghan, K. M., & Roth, D. E. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa036 · Cited by 23 · see citing works
Adherence to the Mediterranean diet assessed by a novel dietary biomarker score and mortality in older adults: the InCHIANTI cohort study
Hidalgo‐Liberona, N., Meroño, T., Zamora‐Ros, R., Rabassa, M., Semba, R. D., Tanaka, T., Bandinelli, S., Ferrucci, L., Andrés‐Lacueva, C., & Cherubini, A. (2021) · BMC Medicine · doi:10.1186/s12916-021-02154-7 · Cited by 23 · see citing works
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Dembedza, V. P., Chopera, P., Mapara, J. C., Mpofu-Hamadziripi, N., Kembo, G., & Macheka, L. (2023) · BMC Nutrition · doi:10.1186/s40795-023-00679-z · Cited by 23 · see citing works
Nutrition as a driver and outcome of agroecology
van Zutphen, K. G., van den Berg, S., Gavin-Smith, B., Imbo, E., Kraemer, K., Monroy-Gomez, J., Pannatier, M., Prytherch, H., Six, J., Thoennissen, C., et al. (2022) · Nature Food · doi:10.1038/s43016-022-00631-7 · Cited by 22 · see citing works
Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students
Radtke, M. D., Chodur, G., Bissell, M. C. S., Kemp, L. C., Medici, V., Steinberg, F. M., & Scherr, R. E. (2023) · Nutrients · doi:10.3390/nu15020409 · Cited by 24 · see citing works
Human‐based new approach methodologies to accelerate advances in nutrition research
Cassotta, M., Cianciosi, D., Elexpuru-Zabaleta, M., Elío, I., Cano, S. S., Giampieri, F., & Battino, M. A. (2024) · Food Frontiers · doi:10.1002/fft2.369 · Cited by 23 · see citing works
Novel standardized method for extracellular flux analysis of oxidative and glycolytic metabolism in peripheral blood mononuclear cells
Janssen, J. J. E., Lagerwaard, B., Bunschoten, A., Savelkoul, H. F. J., van Neerven, R. J. J., Keijer, J., & de Boer, V. C. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-81217-4 · Cited by 22 · see citing works
Self-citation
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McKay, G. J., Lyner, N., Linden, G. J., Kee, F., Moitry, M., Biasch, K., Amouyel, P., Dallongeville, J., Bongard, V., Ferrières, J., et al. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02455-2 · Cited by 22 · see citing works
Mass Spectrometry–Based Analysis of Urinary Biomarkers for Dietary Tomato Intake
Hövelmann, Y., Lewin, L. L., Steinert, K., Hübner, F., & Humpf, H. (2020) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202000011 · Cited by 21 · see citing works
Development and Relative Validity of a Semiquantitative Food Frequency Questionnaire to Estimate Dietary Intake among a Multi-Ethnic Population in the Malaysian Cohort Project
Shahar, S., Shahril, M. R., Abdullah, N., Borhanuddin, B., Kamaruddin, M. A., Yusuf, N. A. M., Dauni, A., Rosli, H., Zainuddin, N. S., & Jamal, R. (2021) · Nutrients · doi:10.3390/nu13041163 · Cited by 21 · see citing works
A Need for a Paradigm Shift in Healthy Nutrition Research
Aleta, A., Brighenti, F., Jolliet, O., Meijaard, E., Shamir, R., Moreno, Y., & Rasetti, M. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.881465 · Cited by 21 · see citing works
Levels of n-3 and n-6 Fatty Acids in Maternal Erythrocytes during Pregnancy and in Human Milk and Its Association with Perinatal Mental Health
Urech, C., Eussen, S. R. B. M., Alder, J., Stahl, B., Boehm, G., Bitzer, J., Bartke, N., & Hoesli, I. M. (2020) · Nutrients · doi:10.3390/nu12092773 · Cited by 21 · see citing works
Identification of potential human urinary biomarkers for tomato juice intake by mass spectrometry-based metabolomics
Hövelmann, Y., Jagels, A., Schmid, R., Hübner, F., & Humpf, H. (2019) · European Journal of Nutrition · doi:10.1007/s00394-019-01935-4 · Cited by 21 · see citing works
Dietary Patterns Associated With Anti-inflammatory Effects: An Umbrella Review of Systematic Reviews and Meta-analyses
Reyneke, G. L., Lambert, K., & Beck, E. J. (2025) · Nutrition Reviews · doi:10.1093/nutrit/nuaf104 · Cited by 21 · see citing works
Sources of Variation in Food-Related Metabolites during Pregnancy
Rafiq, T., Azab, S. M., Anand, S. S., Thabane, L., Shanmuganathan, M., Morrison, K. M., Atkinson, S. A., Stearns, J. C., Teo, K. K., Britz‐McKibbin, P., et al. (2022) · Nutrients · doi:10.3390/nu14122503 · Cited by 20 · see citing works
National Food Intake Assessment: Technologies to Advance Traditional Methods
Moshfegh, A. J., Rhodes, D. G., & Martin, C. (2022) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-062320-110636 · Cited by 20 · see citing works
The Exposome in the Era of the Quantified Self
Zhang, X., Gao, P., & Snyder, M. P. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-012721-122807 · Cited by 21 · see citing works
Gut Microbiota for Health: How Can Diet Maintain A Healthy Gut Microbiota?
Ferraris, C., Elli, M., & Tagliabue, A. (2020) · Nutrients · doi:10.3390/nu12113596 · Cited by 20 · see citing works
Exploring Biomarkers for Malaria: Advances in Early Detection and Asymptomatic Diagnosis
Harmonis, J. A., Kusuma, S. A. F., Rukayadi, Y., & Hasanah, A. N. (2025) · Biosensors · doi:10.3390/bios15020106 · Cited by 19 · see citing works
Quality Specific Associations of Carbohydrate Consumption and Frailty Index
Tanaka, T., Kafyra, M., Jin, Y., Chia, C. W., Dedoussis, G. V., Talegawkar, S. A., & Ferrucci, L. (2022) · Nutrients · doi:10.3390/nu14235072 · Cited by 19 · see citing works
Ultra-Performance Liquid Chromatography-Ion Mobility Separation-Quadruple Time-of-Flight MS (UHPLC-IMS-QTOF MS) Metabolomics for Short-Term Biomarker Discovery of Orange Intake: A Randomized, Controlled Crossover Study
Lacalle-Bergeron, L., Portolés, T., López, F. J., Sancho, J. V., Ortega‐Azorín, C., Asensio, E. M., Coltell, Ó., & Corella, D. (2020) · Nutrients · doi:10.3390/nu12071916 · Cited by 19 · see citing works
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Khaled, K., Hundley, V. A., & Tsofliou, F. (2021) · Nutrients · doi:10.3390/nu13082588 · Cited by 19 · see citing works
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Logan, D., Wallace, S. M., Woodside, J. V., & McKenna, G. J. (2021) · Journal of Dentistry · doi:10.1016/j.jdent.2021.103840 · Cited by 20 · see citing works
Serum biomarkers for nutritional status as predictors in COVID-19 patients before and after vaccination
Vaz‐Rodrigues, R., Mazuecos, L., Villar, M., Urra, J. M., Gortázar, C., & de la Fuente, J. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105412 · Cited by 17 · see citing works
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Siziba, L. P., Lorenz, L., Brenner, H., Carr, P. R., Stahl, B., Mank, M., Marosvölgyi, T., Décsi, T., Szabó, É., Rothenbacher, D., et al. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520004006 · Cited by 17 · see citing works
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Solvik, B. S., Øyen, J., Kvestad, I., Markhus, M. W., Ueland, P. M., McCann, A., & Strand, T. A. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab112 · Cited by 17 · see citing works
Feature selection approaches identify potential plasma metabolites in postmenopausal osteoporosis patients
Wang, J., Wang, Y., Zeng, Y. H., & Huang, D. (2022) · Metabolomics · doi:10.1007/s11306-022-01937-0 · Cited by 16 · see citing works
Contribution of natural food environments to nutritional intake and biomarker status: insights from the women of indigenous santhal communities of Jharkhand, India
Singh, A., Dhasmana, A., Bandhu, A., Kapoor, R., Sivasankar, B., & Ghosh‐Jerath, S. (2023) · BMC Nutrition · doi:10.1186/s40795-023-00669-1 · Cited by 16 · see citing works
Exhaustive Search of Dietary Intake Biomarkers as Objective Tools for Personalized Nutrimetabolomics and Precision Nutrition Implementation
Víctor de la, O., Cruz, E. F., Valdés, A., Cifuentes, A., Walton, J., & Martínez, J. A. (2024) · Nutrition Reviews · doi:10.1093/nutrit/nuae133 · Cited by 15 · see citing works
The role of β-hydroxybutyrate testing in ketogenic metabolic therapies
Fante, C., Spritzler, F., Calabrese, L. V., Laurent, N., Roberts, C. G. P., & Deloudi, S. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1629921 · Cited by 17 · see citing works
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Inamdar, A., Bugadannavar, P., Palled, M. S., Umarani, S., Salve, P. S., Gurupadayya, B., Patil, P. D., & Sharma, H. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1614962 · Cited by 15 · see citing works
Metabolome biomarkers linking dietary fibre intake with cardiometabolic effects: results from the Danish Diet, Cancer and Health-Next Generations MAX study
Unión-Caballero, A., Meroño, T., Zamora‐Ros, R., Rostgaard‐Hansen, A. L., Miñarro, A., Sánchez‐Pla, Á., Estanyol-Torres, N., Martínez‐Huélamo, M., Cubedo, M., González‐Domínguez, R., et al. (2024) · Food & Function · doi:10.1039/d3fo04763f · Cited by 15 · see citing works
Metagenome-assembled genomes for biomarkers of bio-functionalities in Laal dahi, an Indian ethnic fermented milk product
Shangpliang, H. N. J., & Tamang, J. P. (2023) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2023.110300 · Cited by 13 · see citing works
MicroRNAs and the Mediterranean diet: a nutri-omics perspective for lung cancer
Cuttano, R., Mazzarelli, F., Afanga, M. K., Bianchi, F., & Dama, E. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05454-7 · Cited by 14 · see citing works
Precision or Personalized Nutrition: A Bibliometric Analysis
Hinojosa-Nogueira, D., Subiri-Verdugo, A., Díaz-Perdigones, C. M., Rodríguez-Muñoz, A., Vilches-Pérez, A., Mela, V., Tinahones, F. J., & Moreno‐Indias, I. (2024) · Nutrients · doi:10.3390/nu16172922 · Cited by 14 · see citing works
An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford
Chen, X., Johnson, E., Kulkarni, A., Ding, C., Ranelli, N., Chen, Y., & Xu, R. (2021) · Nutrients · doi:10.3390/nu13114132 · Cited by 13 · see citing works
Nutritional redundancy in the human diet and its application in phenotype association studies
Wang, X., Hu, Y., Menichetti, G., Grodstein, F., Bhupathiraju, S. N., Sun, Q., Zhang, X., Hu, F. B., Weiss, S. T., & Liu, Y. (2023) · Nature Communications · doi:10.1038/s41467-023-39836-0 · Cited by 12 · see citing works
Increased Risk of High Body Fat and Altered Lipid Metabolism Associated to Suboptimal Consumption of Vitamin A Is Modulated by Genetic Variants rs5888 (SCARB1), rs1800629 (UCP1) and rs659366 (UCP2)
Galmés, S., Palou, A., & Serra, F. A. (2020) · Nutrients · doi:10.3390/nu12092588 · Cited by 13 · see citing works
Self-citation
Correction: Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan
Shibutami, E., Ishii, R., Harada, S., Kurihara, A., Kuwabara, K., Kato, S., Iida, M., Akiyama, M. O., Sugiyama, D., Hirayama, A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250864 · Cited by 13 · see citing works

Towards nutrition with precision: unlocking biomarkers as dietary assessment tools
Cuparencu, C., Bulmuş-Tüccar, T., Stanstrup, J., La Barbera, G., Roager, H. M., & Dragsted, L. O. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01067-y · Cited by 77 · see citing works
REVIEW Dietary biomarkers: advances, limitations and future directions Open Access
Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J., Serrano, E. L., & Davy, B. M. (2014)
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 · see citing works
Biomarkers of food intake: current status and future opportunities
Brennan, L. (2025) · Proceedings of The Nutrition Society · doi:10.1017/s0029665125000084 · Cited by 7 · 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

Authors: Picó, C., Serra, F., Rodríguez, A. M., Keijer, J., & Palou, A.
Affiliations: Centro de Investigación Biomédica en Red (ES)
Wageningen University & Research (NL)
Corresponding author: Serra, Francisca
ORCID: Picó, Catalina
Serra, Francisca
Rodríguez, Ana María
Keijer, Jaap
Palou, Andreu
Venue: Nutrients
Publisher: MDPI AG
Published: 2019-05-16
Volume: 11
Issue: 5
Pages: 1092
ISSN: 2072-6643 (ISSN-L)
DOI: 10.3390/nu11051092
PMC: PMC6567133
OpenAlex: W2945004919
Cited by: 287
References: 242
Citations by year: 2026: 35 · 2025: 42 · 2024: 49 · 2023: 33 · 2022: 50 · 2021: 39 · 2020: 27 · 2019: 11 · 2018: 1
FWCI: 4.21
Type: journal article
Language: en
Open access: gold
dx.doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Nutrients (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Docusalut (Conselleria de Salut i Consum del Govern de les Illes Balears) (submittedVersion, cc-by)
Hispana (submittedVersion, cc-by)
Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
Funders: Ministerio de Ciencia, Innovación y Universidades (PGC2018-097436-B-I00, PGC 2018)
European Commission (HORIZON2020, 818318)
Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición
Instituto de Salud Carlos III
Agencia Estatal de Investigación (PGC2018‐097436‐B‐I00)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
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
Keywords: dietary biomarkers, dietary assessment, biomarker validation, dietary deficiency, personalized nutrition, omics approaches, systems analysis, interindividual variability
MeSH terms: Blood Glucose, Humans, Insulin, Nutritional Status, Biomarkers, Nutrition Assessment

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