{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T18:07:05Z","timestamp":1791828425120,"version":"4.3.4"},"reference-count":147,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"European Union Next Generation"},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Recovery and Resilience Mechanism"},{"name":"Development of Biomarkers for All"},{"name":"Synergic R&D Projects in New and Emerging Scientific Areas"},{"name":"Frontier of Science and Interdisciplinary Nature of the Community of Madrid","award":["METAINFLAMATION-Y2020\/BIO-6600"],"award-info":[{"award-number":["METAINFLAMATION-Y2020\/BIO-6600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To conduct an exhaustive scoping search of existing literature, incorporating diverse bibliographic sources to elucidate the relationships between metabolite biomarkers in human fluids and dietary intake.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The search for biomarkers linked to specific dietary food intake holds immense significance for precision health and nutrition research. Using objective methods to track food consumption through metabolites offers a more accurate way to provide dietary advice and prescriptions on healthy dietary patterns by healthcare professionals. An extensive investigation was conducted on biomarkers associated with the consumption of several food groups and consumption patterns. Evidence is integrated from observational studies, systematic reviews, and meta-analyses to achieve precision nutrition and metabolism personalization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Tailored search strategies were applied across databases and gray literature, yielding 158 primary research articles that met strict inclusion criteria. The collected data underwent rigorous analysis using STATA and Python tools. Biomarker\u2013food associations were categorized into 5 groups: cereals and grains, dairy products, protein-rich foods, plant-based foods, and a miscellaneous group. Specific cutoff points (\u22653 or \u22654 bibliographic appearances) were established to identify reliable biomarkers indicative of dietary consumption.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Key metabolites in plasma, serum, and urine revealed intake from different food groups. For cereals and grains, 3-(3,5-dihydroxyphenyl) propanoic acid glucuronide and 3,5-dihydroxybenzoic acid were significant. Omega-3 fatty acids and specific amino acids showcased dairy and protein foods consumption. Nuts and seafood were linked to hypaphorine and trimethylamine N-oxide. The miscellaneous group featured compounds like theobromine, 7-methylxanthine, caffeine, quinic acid, paraxanthine, and theophylline associated with coffee intake.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Data collected from this research demonstrate potential for incorporating precision nutrition into clinical settings and nutritional advice based on accurate estimation of food intake. By customizing dietary recommendations based on individualized metabolic profiles, this approach could significantly improve personalized food consumption health prescriptions and support integrating multiple nutritional data.<\/jats:p>\n                    <jats:p>This article is part of a Nutrition Reviews special collection on Precision Nutrition.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/nutrit\/nuae133","type":"journal-article","created":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T11:58:07Z","timestamp":1724759887000},"page":"925-942","source":"Crossref","is-referenced-by-count":15,"title":["Exhaustive Search of Dietary Intake Biomarkers as Objective Tools for Personalized Nutrimetabolomics and Precision Nutrition Implementation"],"prefix":"10.1093","volume":"83","author":[{"given":"Victor","family":"de la O","sequence":"first","affiliation":[{"name":"Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies) , 28040, Madrid,","place":["Spain"]},{"name":"Faculty of Health Sciences, International University of La Rioja , 26006, Logro\u00f1o,","place":["Spain"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9467-2788","authenticated-orcid":false,"given":"Edwin","family":"Fern\u00e1ndez-Cruz","sequence":"additional","affiliation":[{"name":"Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies) , 28040, Madrid,","place":["Spain"]},{"name":"Faculty of Health Sciences, International University of La Rioja , 26006, Logro\u00f1o,","place":["Spain"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Vald\u00e9s","sequence":"additional","affiliation":[{"name":"Foodomics Lab, Institute of Food Science Research , Spanish National Research Council, 28049, Madrid,","place":["Spain"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro","family":"Cifuentes","sequence":"additional","affiliation":[{"name":"Foodomics Lab, Institute of Food Science Research , Spanish National Research Council, 28049, Madrid,","place":["Spain"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janette","family":"Walton","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, Munster Technological University , Cork,","place":["Republic of Ireland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J Alfredo","family":"Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies) , 28040, Madrid,","place":["Spain"]},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red Fisiopatolog\u00eda de la Obesidad y la Nutrici\u00f3n, Instituto de Salud Carlos III , 28049, 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