The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Dietary biomarkers: advances, limitations and future directions
Open accessAbstract
The subjective nature of self-reported dietary intake assessment methods presents numerous challenges to obtaining accurate dietary intake and nutritional status. This limitation can be overcome by the use of dietary biomarkers, which are able to objectively assess dietary consumption (or exposure) without the bias of self-reported dietary intake errors. The need for dietary biomarkers was addressed by the Institute of Medicine, who recognized the lack of nutritional biomarkers as a knowledge gap requiring future research. The purpose of this article is to review existing literature on currently available dietary biomarkers, including novel biomarkers of specific foods and dietary components, and assess the validity, reliability and sensitivity of the markers. This review revealed several biomarkers in need of additional validation research; research is also needed to produce sensitive, specific, cost-effective and noninvasive dietary biomarkers. The emerging field of metabolomics may help to advance the development of food/nutrient biomarkers, yet advances in food metabolome databases are needed. The availability of biomarkers that estimate intake of specific foods and dietary components could greatly enhance nutritional research targeting compliance to national recommendations as well as direct associations with disease outcomes. More research is necessary to refine existing biomarkers by accounting for confounding factors, to establish new indicators of specific food intake, and to develop techniques that are cost-effective, noninvasive, rapid and accurate measures of nutritional status.
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Polyphenols: Food sources and bioavailability
Manach, C., Scalbert, A., Morand, C., Rémésy, C., & Jiménez, L. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.5.727 · Cited by 8,175
Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., Willis, G., Islam, N. G., Baranowski, T., McNutt, S., et al. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.04.016 · Cited by 934
Biomarkers in nutritional epidemiology: applications, needs and new horizons
Jenab, M., Slimani, N., Bictash, M., Ferrari, P., & Bingham, S. A. (2009) · Human Genetics · doi:10.1007/s00439-009-0662-5 · Cited by 448
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
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297
Heinzmann, S. S., Brown, I. J., Chan, Q., Bictash, M., Dumas, M.-E., Kochhar, S., Stamler, J., Holmes, E., Elliott, P., & Nicholson, J. K. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29672 · Cited by 271
Frobisher, C., & Maxwell, S. M. (2003) · Journal of Human Nutrition and Dietetics · doi:10.1046/j.1365-277x.2003.00434.x · Cited by 151
Llorach, R., Urpi-Sarda, M., Jauregui, O., Monagas, M., & Andres-Lacueva, C. (2009) · Journal of Proteome Research · doi:10.1021/pr900470a · Cited by 144
Water and Food Consumption Patterns of U.S. Adults from 1999 to 2001
Popkin, B. M., Barclay, D. V., & Nielsen, S. J. (2005) · Obesity Research · doi:10.1038/oby.2005.266 · Cited by 104
Consumption of sugars and body weight.
Van Baak, M. A., & Astrup, A. (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00561.x · Cited by 103 · cited 1×
“Yet, significant evidence is needed to directly link SSB and added sugar intake to obesity and other co-morbidities such as hypertension, diabetes and cardiovascular disease [26-28].”
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Cited by
Nutrition and prevention of cognitive impairment
Scarmeas, N., Anastasiou, C. A., & Yannakoulia, M. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30338-7 · Cited by 612
Dietary interventions for obesity: clinical and mechanistic findings.
Chao, A. M., Quigley, K. M., & Wadden, T. A. (2021) · Journal of Clinical Investigation · doi:10.1172/jci140065 · Cited by 257
De Filippis, F., Vannini, L., La Storia, A., Laghi, L., Piombino, P., Stellato, G., Serrazanetti, D. I., Gozzi, G., Turroni, S., Ferrocino, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112373 · Cited by 146
Opie, R. S., O'Neil, A., Jacka, F. N., Pizzinga, J., & Itsiopoulos, C. (2018) · Nutritional Neuroscience · doi:10.1080/1028415x.2017.1312841 · Cited by 130
Maternal Fatty Acid Status During Pregnancy and Child Autistic Traits: The Generation R Study
Steenweg-de Graaff, J., Tiemeier, H., Ghassabian, A., Rijlaarsdam, J., Jaddoe, V. W. V., Verhulst, F. C., & Roza, S. J. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv263 · Cited by 49
Metadata
- Authors
- Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J., Serrano, E., & Davy, B. M.
- Venue
- Nutrition Journal
- Published
- 2012-12
- Volume
- 11
- Issue
- 1
- Pages
- 109-109
- ISSN
- 1475-2891 (ISSN-L)
- OpenAlex
- W2104893499
- Cited by
- 268
- References
- 11
- FWCI
- 14.18
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J., Serrano, E., & Davy, B. M. (2012). Dietary biomarkers: advances, limitations and future directions. Nutrition Journal. https://doi.org/10.1186/1475-2891-11-109
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