{"title":"Integrating nutritional biomarkers into precision nutrition research and practice","authors":"Ana Laura de la Garza","doi":"10.1016/j.cnd.2026.08.009","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Precision nutrition seeks to optimize dietary recommendations by integrating biological, clinical, and environmental determinants of individual variability. Nutritional biomarkers have emerged as essential tools to characterize dietary exposure, metabolic responses, and disease risk.</div></div><div>Precision nutrition seeks to optimize dietary recommendations by integrating biological, clinical, and environmental determinants of individual variability. Nutritional biomarkers have emerged as essential tools to characterize dietary exposure, metabolic responses, and disease risk.</div><div><h3>Methods</h3><div>This invited lecture synthesized evidence from human, clinical, and experimental studies examining the application of nutritional biomarkers in precision nutrition. Findings from fatty acid profiles from phospholipid (PL) and cholesterol ester (CE) fractions, gut microbiome, nutrigenetics, and ongoing multi-omics analyses were integrated to illustrate current applications and future directions.</div></div><div>This invited lecture synthesized evidence from human, clinical, and experimental studies examining the application of nutritional biomarkers in precision nutrition. Findings from fatty acid profiles from phospholipid (PL) and cholesterol ester (CE) fractions, gut microbiome, nutrigenetics, and ongoing multi-omics analyses were integrated to illustrate current applications and future directions.</div><div><h3>Results</h3><div>The evidence demonstrated that circulating fatty acid profiles, particularly within serum phospholipids and cholesteryl esters, objectively reflected dietary patterns and were associated with systemic inflammation, and metabolic risk. Experimental studies further showed that dietary modulation of the gut microbiota altered lipid metabolism, endotoxemia, inflammatory pathways, and host metabolic responses, highlighting the central role of microbiota-derived metabolites as emerging nutritional biomarkers. In addition, nutrigenetic evidence indicated that genetic variability contributes to heterogeneous responses to dietary interventions, supporting the incorporation of polygenic information into personalized nutrition strategies. Finally, ongoing analyses from the oriGen cohort illustrated how integrating nutritional biomarkers with anthropometric, clinical, and lifestyle data enables the characterization of distinct cardiometabolic and obesity phenotypes, providing a more comprehensive framework for predicting disease risk and therapeutic response.</div></div><div>The evidence demonstrated that circulating fatty acid profiles, particularly within serum phospholipids and cholesteryl esters, objectively reflected dietary patterns and were associated with systemic inflammation, and metabolic risk. Experimental studies further showed that dietary modulation of the gut microbiota altered lipid metabolism, endotoxemia, inflammatory pathways, and host metabolic responses, highlighting the central role of microbiota-derived metabolites as emerging nutritional biomarkers. In addition, nutrigenetic evidence indicated that genetic variability contributes to heterogeneous responses to dietary interventions, supporting the incorporation of polygenic information into personalized nutrition strategies. Finally, ongoing analyses from the oriGen cohort illustrated how integrating nutritional biomarkers with anthropometric, clinical, and lifestyle data enables the characterization of distinct cardiometabolic and obesity phenotypes, providing a more comprehensive framework for predicting disease risk and therapeutic response.</div><div><h3>Conclusions</h3><div>Nutritional biomarkers have evolved from complementary research tools to central components of precision nutrition. Their integration with multi-omics technologies and advanced analytical approaches, including artificial intelligence, provides unprecedented opportunities to improve dietary assessment, identify biologically meaningful metabolic phenotypes, predict individual responses to nutrition interventions, and facilitate the translation of precision nutrition into clinical practice. Future research should focus on validating integrated biomarker panels that support evidence-based, individualized dietary recommendations for the prevention and management of chronic metabolic diseases.</div></div><div>Nutritional biomarkers have evolved from complementary research tools to central components of precision nutrition. Their integration with multi-omics technologies and advanced analytical approaches, including artificial intelligence, provides unprecedented opportunities to improve dietary assessment, identify biologically meaningful metabolic phenotypes, predict individual responses to nutrition interventions, and facilitate the translation of precision nutrition into clinical practice. Future research should focus on validating integrated biomarker panels that support evidence-based, individualized dietary recommendations for the prevention and management of chronic metabolic diseases.</div>","PeriodicalId":43722,"journal":{"name":"CAHIERS DE NUTRITION ET DE DIETETIQUE","volume":"61 ","pages":"Pages e6-e7"},"PeriodicalIF":0.3000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAHIERS DE NUTRITION ET DE DIETETIQUE","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007996026000854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Precision nutrition seeks to optimize dietary recommendations by integrating biological, clinical, and environmental determinants of individual variability. Nutritional biomarkers have emerged as essential tools to characterize dietary exposure, metabolic responses, and disease risk.
Precision nutrition seeks to optimize dietary recommendations by integrating biological, clinical, and environmental determinants of individual variability. Nutritional biomarkers have emerged as essential tools to characterize dietary exposure, metabolic responses, and disease risk.
Methods
This invited lecture synthesized evidence from human, clinical, and experimental studies examining the application of nutritional biomarkers in precision nutrition. Findings from fatty acid profiles from phospholipid (PL) and cholesterol ester (CE) fractions, gut microbiome, nutrigenetics, and ongoing multi-omics analyses were integrated to illustrate current applications and future directions.
This invited lecture synthesized evidence from human, clinical, and experimental studies examining the application of nutritional biomarkers in precision nutrition. Findings from fatty acid profiles from phospholipid (PL) and cholesterol ester (CE) fractions, gut microbiome, nutrigenetics, and ongoing multi-omics analyses were integrated to illustrate current applications and future directions.
Results
The evidence demonstrated that circulating fatty acid profiles, particularly within serum phospholipids and cholesteryl esters, objectively reflected dietary patterns and were associated with systemic inflammation, and metabolic risk. Experimental studies further showed that dietary modulation of the gut microbiota altered lipid metabolism, endotoxemia, inflammatory pathways, and host metabolic responses, highlighting the central role of microbiota-derived metabolites as emerging nutritional biomarkers. In addition, nutrigenetic evidence indicated that genetic variability contributes to heterogeneous responses to dietary interventions, supporting the incorporation of polygenic information into personalized nutrition strategies. Finally, ongoing analyses from the oriGen cohort illustrated how integrating nutritional biomarkers with anthropometric, clinical, and lifestyle data enables the characterization of distinct cardiometabolic and obesity phenotypes, providing a more comprehensive framework for predicting disease risk and therapeutic response.
The evidence demonstrated that circulating fatty acid profiles, particularly within serum phospholipids and cholesteryl esters, objectively reflected dietary patterns and were associated with systemic inflammation, and metabolic risk. Experimental studies further showed that dietary modulation of the gut microbiota altered lipid metabolism, endotoxemia, inflammatory pathways, and host metabolic responses, highlighting the central role of microbiota-derived metabolites as emerging nutritional biomarkers. In addition, nutrigenetic evidence indicated that genetic variability contributes to heterogeneous responses to dietary interventions, supporting the incorporation of polygenic information into personalized nutrition strategies. Finally, ongoing analyses from the oriGen cohort illustrated how integrating nutritional biomarkers with anthropometric, clinical, and lifestyle data enables the characterization of distinct cardiometabolic and obesity phenotypes, providing a more comprehensive framework for predicting disease risk and therapeutic response.
Conclusions
Nutritional biomarkers have evolved from complementary research tools to central components of precision nutrition. Their integration with multi-omics technologies and advanced analytical approaches, including artificial intelligence, provides unprecedented opportunities to improve dietary assessment, identify biologically meaningful metabolic phenotypes, predict individual responses to nutrition interventions, and facilitate the translation of precision nutrition into clinical practice. Future research should focus on validating integrated biomarker panels that support evidence-based, individualized dietary recommendations for the prevention and management of chronic metabolic diseases.
Nutritional biomarkers have evolved from complementary research tools to central components of precision nutrition. Their integration with multi-omics technologies and advanced analytical approaches, including artificial intelligence, provides unprecedented opportunities to improve dietary assessment, identify biologically meaningful metabolic phenotypes, predict individual responses to nutrition interventions, and facilitate the translation of precision nutrition into clinical practice. Future research should focus on validating integrated biomarker panels that support evidence-based, individualized dietary recommendations for the prevention and management of chronic metabolic diseases.
期刊介绍:
Les Cahiers de nutrition et de diététique sont le lieu de communication reconnu pour les médecins spécialistes de la nutrition, les diététiciens, les professionnels et les chercheurs de agro-alimentaire, les enseignants et les étudiants. Les Cahiers de nutrition et de diététique abordent les sujets se rapportant à la biologie générale, à la médecine et à la nutrition, aux aliments, aux comportements alimentaires, à la diététique pratique, ainsi que des thèmes variés : activité physique, apports nutritionnels conseillés, dénutrition, alcool, obésité de enfant, aliments à effet santé, plaisir alimentaire, restauration collective, goûters et collations, allergies alimentaires...