Molecular Nutrition Research—The Modern Way Of Performing Nutritional Science
Open accessAbstract
In spite of amazing progress in food supply and nutritional science, and a striking increase in life expectancy of approximately 2.5 months per year in many countries during the previous 150 years, modern nutritional research has a great potential of still contributing to improved health for future generations, granted that the revolutions in molecular and systems technologies are applied to nutritional questions. Descriptive and mechanistic studies using state of the art epidemiology, food intake registration, genomics with single nucleotide polymorphisms (SNPs) and epigenomics, transcriptomics, proteomics, metabolomics, advanced biostatistics, imaging, calorimetry, cell biology, challenge tests (meals, exercise, etc.), and integration of all data by systems biology, will provide insight on a much higher level than today in a field we may name molecular nutrition research. To take advantage of all the new technologies scientists should develop international collaboration and gather data in large open access databases like the suggested Nutritional Phenotype database (dbNP). This collaboration will promote standardization of procedures (SOP), and provide a possibility to use collected data in future research projects. The ultimate goals of future nutritional research are to understand the detailed mechanisms of action for how nutrients/foods interact with the body and thereby enhance health and treat diet-related diseases.
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The extent to which a nutrient regulates the stress response depends on its duration, the athlete's nutritional status, the type and intensity of exercise, the physiological status, and the gut microbiota composition and function.
“The extent to which a certain nutrient regulates the stress response depends on its duration, the athlete’s nutritional status as a whole, the type and intensity of the exercise, the physiological status, and the gut microbiota composition and function [110].”
From Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes (2016) · cites this paper as [110]
Individual genetic background and epigenetic profile make nutritional assessment difficult.
“Other factors that make nutritional assessment difficult are the individual's genetic background and epigenetic profile [110].”
From Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes (2016) · cites this paper as [110]
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Flagged first, then by citations
Research works printed but not linked: 1
- [106]German J.B. Gillies L.A. Smilowitz J.T. Zivkovic A.M. Watkins S.M. Lipidomics and lipid profiling in metabolomics Curr. Opin. Lipidol. 2007 18 66 71 17218835
Cited by
Sorted by citations
Clark, A., & Mach, N. (2016) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-016-0155-6 · Cited by 583 · see citing works
“The extent to which a certain nutrient regulates the stress response depends on its duration, the athlete’s nutritional status as a whole, the type and intensity of the exercise, the physiological status, and the gut microbiota composition and function [110].”
BackgroundTwin studies advance the understanding of gene-environment interplay in human nutrigenomics
Pallister, T., Spector, T. D., & Menni, C. (2014) · Nutrition Research Reviews · doi:10.1017/s095442241400016x · Cited by 20 · see citing works
- Authors
- Norheim, F., Gjelstad, I., Hjorth, M., Vinknes, K., Langleite, T., Holen, T., Jensen, J., Dalen, K., Karlsen, A., Kielland, A., Rustan, A., & Drevon, C.
- Affiliations
- University of Oslo (NO)
- Norwegian School of Sport Sciences (NO)
- Corresponding author
- Drevon, Christian
- ORCID
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2012-12-03
- Volume
- 4
- Issue
- 12
- Pages
- 1898-1944
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC3546614
- OpenAlex
- W2118429083
- Cited by
- 83
- References
- 224
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 3 · 2023: 9 · 2022: 10 · 2021: 2 · 2020: 3 · 2019: 5 · 2018: 2 · 2017: 8 · 2016: 6 · 2015: 13 · 2014: 11 · 2013: 6
- FWCI
- 1.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Life Sciences › Agricultural and Biological Sciences › Food Science › Nutrition, Health, and Society Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
- Keywords
- nutrition science, systems biology, single nucleotide polymorphisms, epigenomics, transcriptomics, proteomics, metabolomics, data standardization, international cooperation, diet-related diseases, life expectancy
- MeSH terms
- Diet, Humans, Nutritional Physiological Phenomena, Research Design, Nutritional Sciences, Nutrigenomics
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.
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