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

The DOI matches its Crossref record; 238 of the 242 references it cites were found in a registry or an index.

Biomarkers of Nutrition and Health: New Tools for New Approaches

Open access

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

Open this paper in CoChat — free account

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.3390/nu11051092

Cites

238 of 238 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
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
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
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
Integrative single-cell analysis
Stuart, T., & Satija, R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0093-7 · Cited by 1,460
The emerging field of lipidomics
Wenk, M. R. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1776 · Cited by 1,362
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
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
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
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 1,173

Flagged first, then by citations

Show all 242 references

4 of the 242 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

Marshall, W.J., and Bangert, S.K. (2008). Clinical Biochemistry: Metabolic and Clinical Aspects, Churchill Livingstone/Elsevier.

Sorted by citations

RETRACTED: Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases
Bodaghi, A., Fattahi, N., & Ramazani, A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13323 · Cited by 371
Retracted
Toward the Definition of Personalized Nutrition: A Proposal by The American Nutrition Association
Bush, C. L., Blumberg, J. B., El‐Sohemy, A., Minich, D. M., Ordovás, J. M., Reed, D. G., & Behm, V. A. Y. (2019) · Journal of the American College of Nutrition · doi:10.1080/07315724.2019.1685332 · Cited by 259
Future lines of research on phase angle: Strengths and limitations
Bellido, D., García, C. G., Talluri, A., Lukaski, H. C., & García‐Almeida, J. M. (2023) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09803-7 · Cited by 230
Foodomics: A new approach in food quality and safety
Balkir, P., Kemahlıoğlu, K., & Yücel, U. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.11.028 · Cited by 156
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.2022.08.017 · Cited by 140
Common Limitations and Challenges of Dietary Clinical Trials for Translation into Clinical Practices
Mirmiran, P., Bahadoran, Z., & Gaeini, Z. (2021) · Intern J Endocrinol Metab · doi:10.5812/ijem.108170 · Cited by 125
Nutrition and Genetics in NAFLD: The Perfect Binomium
Meroni, M., Longo, M., Rustichelli, A., & Dongiovanni, P. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21082986 · Cited by 125
Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers
Lacalle-Bergeron, L., Izquierdo-Sandoval, D., Sancho, J. V., López, F. J., Hernández, F. J., & Portolés, T. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116161 · Cited by 120
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 96
Multi Omics Applications in Biological Systems
Reyes, C. D. G., Alejo‐Jacuinde, G., Sanchez, B. P., Chávez‐Reyes, J., Onigbinde, S. B., Mogut, D., Hernández‐Jasso, I., Calderón-Vallejo, D., Quintanar, J. L., & Mechref, Y. S. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46060345 · Cited by 87
Reproducibility and validity of diet quality scores derived from food-frequency questionnaires
Yue, Y., Yuan, C., Wang, D. D., Wang, M., Song, M., Shan, Z., Hu, F. B., ROSNER, B. A., Smith‐Warner, S. A., & Willett, W. C. (2021) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqab368 · Cited by 79
Breast Milk Supply of MicroRNA Associated with Leptin and Adiponectin Is Affected by Maternal Overweight/Obesity and Influences Infancy BMI
Zamanillo‐Campos, R., Sánchez, J., Serra, F. A., & Palou, A. (2019) · Nutrients · doi:10.3390/nu11112589 · Cited by 74
Self-citation
Detection of Early Disease Risk Factors Associated with Metabolic Syndrome: A New Era with the NMR Metabolomics Assessment
Hernández-Baixauli, J., Quesada‐Vázquez, S., Mariné-Casadó, R., Cardoso, K. G., Caimari, A., Bas-Prior, J. M. D., Escoté, X., & Baselga‐Escudero, L. (2020) · Nutrients · doi:10.3390/nu12030806 · Cited by 74
Dietary biomarkers—an update on their validity and applicability in epidemiological studies
Landberg, R., Karra, P., Hoobler, R., Loftfield, E., Huybrechts, I., Rattner, J. I., Noerman, S., Claeys, L., Neveu, V., Vidkjær, N. H., et al. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad119 · Cited by 76
Nanomaterial-enabled portable paper-based colorimetric and fluorometric devices: Progress in point-of-care diagnosis
Tandey, K., Shrivas, K. K., Sharma, A., Kant, T., Tejwani, A., Tikeshwari, Deb, M. K., Pervez, S., & Ghosh, K. K. (2024) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2024.215919 · Cited by 70
Nutritional Profile, Phytochemical Compounds, Biological Activities, and Utilisation of Onion Peel for Food Applications: A Review
Shabir, I., Pandey, V. K., Dar, A. H., Pandiselvam, R., Manzoor, S., Mir, S. A., Shams, R., Dash, K. K., Fayaz, U., Khan, S. A., et al. (2022) · Sustainability · doi:10.3390/su141911958 · Cited by 64
PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets
Stefanidis, K., Tsatsou, D., Konstantinidis, D., Gymnopoulos, L. P., Daras, P., Wilson-Barnes, S., Hart, K. H., Cornelissen, V., Decorte, E., Lalama, E., et al. (2022) · Nutrients · doi:10.3390/nu14204435 · Cited by 62
Precision Nutrition Unveiled: Gene–Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management
Mansour, S., Alkhaaldi, S. M. I., Sammanasunathan, A. F., Ibrahim, S. M., Farhat, J., & Al‐Omari, B. (2024) · Nutrients · doi:10.3390/nu16050581 · Cited by 69
Conducting research on diet–microbiome interactions: A review of current challenges, essential methodological principles, and recommendations for best practice in study design
Shanahan, E. R., McMaster, J. J., & Staudacher, H. M. (2021) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12868 · Cited by 61
Coffee Silverskin Extract: Nutritional Value, Safety and Effect on Key Biological Functions
Iriondo-DeHond, A., Rios, M. B., Herrera, T., Rodriguez-Bertos, A., Nuñez, F., San Andres, M. I., Sanchez-Fortun, S., & del Castillo, M. D. (2019) · Nutrients · doi:10.3390/nu11112693 · Cited by 56
Effects of an Low carbohydrate/healthy fat/ketogenic Diet On Biomarkers of Health and symptoms, Anxiety and Depression in Parkinson’s Disease: A Pilot Study
Tidman, M. M., White, D. R., & White, T. A. (2022) · Neurodegenerative Disease Management · doi:10.2217/nmt-2021-0033 · Cited by 49
Personalized Nutrition and -Omics
Chaudhary, N., Kumar, V., Sangwan, P., Pant, N. C., Saxena, A., Joshi, S., & Yadav, A. N. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-100596-5.22880-1 · Cited by 55
Biomarkers of dietary patterns: a systematic review of randomized controlled trials
Liang, S., Nasir, R., Bell-Anderson, K. S., Toniutti, C., O’Leary, F., & Skilton, M. R. (2022) · Nutrition Reviews · doi:10.1093/nutrit/nuac009 · Cited by 47
What Makes Nutrition Research So Difficult to Conduct and Interpret?
Vitolins, M. Z., & Case, T. (2020) · Diabetes Spectrum · doi:10.2337/ds19-0077 · Cited by 45
Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies
Keijer, J., Escoté, X., Galmés, S., Palou-March, A., Serra, F. A., Aldubayan, M. A., Pigsborg, K., Magkos, F., Baker, E. J., Calder, P. C., et al. (2023) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2023.2198605 · Cited by 48
Self-citation
Nutritional and Environmental Contaminant Exposure: A Tale of Two Co-Existing Factors for Disease Risks
Huang, Y., & Fang, M. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c05658 · Cited by 44
The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center
Ulusoy, H. G., & Rakıcıoğlu, N. (2024) · Current Nutrition Reports · doi:10.1007/s13668-024-00550-y · Cited by 47
Personalized nutrition: perspectives on challenges, opportunities, and guiding principles for data use and fusion
Donovan, S. M., Abrahams, M., Anthony, J. C., Bao, Y., Barragán, M., Bermingham, K. M., Blander, G., Keck, A.-S., Lee, B. Y., Nieman, K. M., et al. (2025) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2025.2461237 · Cited by 48
SPR biosensing: Cancer diagnosis and biomarkers quantification
Swami, S., Kayenat, F., & Wajid, S. (2023) · Microchemical Journal · doi:10.1016/j.microc.2023.109792 · Cited by 39
Optimizing Maternal Nutrition: The Importance of a Tailored Approach
Brink, L., Bender, T. M., Davies, R., Luo, H., Miketinas, D. C., Shah, N., Loveridge, N., Gross, G., & Fawkes, N. (2022) · Current Developments in Nutrition · doi:10.1093/cdn/nzac118 · Cited by 51
The Future of Pharmacogenomics: Integrating Epigenetics, Nutrigenomics, and Beyond
Shaman, J. A. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14121121 · Cited by 42
Nutrigenomics in Regulating the Expression of Genes Related to Type 2 Diabetes Mellitus
Felisbino, K., Granzotti, J. G., Bello-Santos, L., & Guiloski, I. C. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.699220 · Cited by 43
Current challenges and future implications of exploiting the omics data into nutrigenetics and nutrigenomics for personalized diagnosis and nutrition-based care
Singh, V. M. (2023) · Nutrition · doi:10.1016/j.nut.2023.112002 · Cited by 41
Functional Biomarkers for the Selenium Status in a Human Nutritional Intervention Study
Müller, S., Dawczynski, C., Wiest, J., Stefan Lorkowski, A., Kipp, A. P., & Schwerdtle, T. (2020) · Nutrients · doi:10.3390/nu12030676 · Cited by 36
Associations of Pre- and Postnatal Air Pollution Exposures with Child Blood Pressure and Modification by Maternal Nutrition: A Prospective Study in the CANDLE Cohort
Ni, Y., Szpiro, A. A., Young, M. T., Loftus, C. T., Bush, N. R., LeWinn, K. Z., Sathyanarayana, S., Enquobahrie, D. A., Davis, R. L., Kratz, M., et al. (2021) · Environmental Health Perspectives · doi:10.1289/ehp7486 · Cited by 36
Development of Personalized Nutrition: Applications in Lactose Intolerance Diagnosis and Management
Porzi, M., Burton-Pimentel, K. J., Walther, B., & Vergères, G. (2021) · Nutrients · doi:10.3390/nu13051503 · Cited by 46
Impact of a keto diet on symptoms of Parkinson's disease, biomarkers, depression, anxiety and quality of life: a longitudinal study
Tidman, M. M., White, D. R., & White, T. A. (2024) · Neurodegenerative Disease Management · doi:10.1080/17582024.2024.2352394 · Cited by 34
Trace Mineral Imbalances in Global Health: Challenges, Biomarkers, and the Role of Serum Analysis
López‐Alonso, M., Fernández., I. R., & Miranda, M. (2025) · Nutrients · doi:10.3390/nu17132241 · Cited by 34
The Mediterranean Diet, a Rich Source of Angiopreventive Compounds in Cancer
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
Biomarker-Guided Dietary Supplementation: A Narrative Review of Precision in Personalized Nutrition
Pokushalov, E., Ponomarenko, A., Shrainer, E., Kudlay, D. A., & Miller, R. (2024) · Nutrients · doi:10.3390/nu16234033 · Cited by 39
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
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 31
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 31
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 30
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
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
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
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
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
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
Effects of a Ketogenic Diet on Symptoms, Biomarkers, Depression, and Anxiety in Parkinson’s Disease: A Case Study
Tidman, M. M. (2022) · Cureus · doi:10.7759/cureus.23684 · Cited by 26
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
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
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 27
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
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
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
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 25
Minimally invasive biomarkers in human and non‐human primate evolutionary biology: Tools for understanding variation and adaptation
Urlacher, S. S., Kim, E. Y., Luan, T., Young, L. J., & Adjetey, B. (2022) · American Journal of Human Biology · doi:10.1002/ajhb.23811 · Cited by 23
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 27
Precision Nutrition and Metabolic Syndrome Management
González‐Muniesa, P., & Martínez, J. A. (2019) · Nutrients · doi:10.3390/nu11102411 · Cited by 24
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
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
The relationship between climate change induced natural disasters and selected nutrition outcomes: a case of cyclone Idai, Zimbabwe
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
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
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 25
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
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
Self-citation
Association of low plasma antioxidant levels with all-cause mortality and coronary events in healthy middle-aged men from France and Northern Ireland in the PRIME study
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 21
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
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
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
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 24
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 22
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 24
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
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
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 22
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 21
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 20
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
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
Poor Dietary Quality and Patterns Are Associated with Higher Perceived Stress among Women of Reproductive Age in the UK
Khaled, K., Hundley, V. A., & Tsofliou, F. (2021) · Nutrients · doi:10.3390/nu13082588 · Cited by 21
The potential of salivary biomarkers of nutritional status and dietary intake: A Systematic Review
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
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 19
Changes in human milk fatty acid composition and maternal lifestyle-related factors over a decade: a comparison between the two Ulm Birth Cohort Studies
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 19
Biomarkers and Fatty Fish Intake: A Randomized Controlled Trial in Norwegian Preschool Children
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
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
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
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
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 18
Biological determinants of blood-based biomarker levels in Alzheimer’s disease: role of nutrition, inflammation, and metabolic factors
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 21
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 18
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
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
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
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
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
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
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

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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Biomarkers of Nutrition and Health: New Tools for New Approaches

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks