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Monitoring immune modulation by nutrition in the general population: identifying and substantiating effects on human health
Open accessAbstract
Optimal functioning of the immune system is crucial to human health, and nutrition is one of the major exogenous factors modulating different aspects of immune function. Currently, no single marker is available to predict the effect of a dietary intervention on different aspects of immune function. To provide further guidance on the assessment and interpretation of the modulation of immune functions due to nutrition in the general population, International Life Sciences Institute Europe commissioned a group of experts from academia, government and the food industry to prepare a guidance document. A draft of this paper was refined at a workshop involving additional experts. First, the expert group defined criteria to evaluate the usefulness of immune function markers. Over seventy-five markers were scored within the context of three distinct immune system functions: defence against pathogens; avoidance or mitigation of allergy; control of low-grade (metabolic) inflammation. The most useful markers were subsequently classified depending on whether they by themselves signify clinical relevance and/or involvement of immune function. Next, five theoretical scenarios were drafted describing potential changes in the values of markers compared with a relevant reference range. Finally, all elements were combined, providing a framework to aid the design and interpretation of studies assessing the effects of nutrition on immune function. This stepwise approach offers a clear rationale for selecting markers for future trials and provides a framework for the interpretation of outcomes. A similar stepwise approach may also be useful to rationalise the selection and interpretation of markers for other physiological processes critical to the maintenance of health and well-being.
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The development, maintenance and optional functioning of immune cells is dependent on adequate nutrition, evident at all stages of life.
“The development, maintenance and optional functioning of immune cells is dependent on adequate nutrition, evident at all stages of life [4,5,33,49,69].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [69]
As no single biomarker exists that accurately reflects the effects of supplementation on the immune response, clinical outcomes are instead used to determine the effectiveness of supplementation.
“As no single biomarker exists that accurately reflects the effects of supplementation on the immune response, clinical outcomes are instead used to determine the effectiveness of supplementation [49,69].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [69]
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Valdés‐Ramos, R., Martínez‐Carrillo, B. E., Aranda-González, I. I., López, A. L. G., Pardo-Morales, R. V., Tlatempa‐Sotelo, P., & Luna, R. A. J. (2010) · Proceedings of The Nutrition Society · doi:10.1017/s0029665110002533 · Cited by 67
Flagged first, then by citations
Research works printed but not linked: 7
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- Rechkemmer, 2002, Use of fecal water as a biomarker in dietary intervention studies, J Nutr, 132, 3537S
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Cited by
Sorted by citations
Immune function and micronutrient requirements change over the life course
Maggini, S., Pierre, A., & Calder, P. C. (2018) · Nutrients · doi:10.3390/nu10101531 · Cited by 710
Self-citationNutritional considerations for healthy aging and reduction in age-related chronic disease
Shlisky, J., Bloom, D. E., Beaudreault, A. R., Tucker, K. L., Keller, H. H., Freund-Levi, Y., Fielding, R. A., Cheng, F. W., Jensen, G. L., Wu, D., et al. (2017) · Advances in Nutrition · doi:10.3945/an.116.013474 · Cited by 462
Dietary phytochemicals and neuro-inflammaging: from mechanistic insights to translational challenges
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Nutrigerontology: a key for achieving successful ageing and longevity
Aiello, A., Accardi, G., Candore, G., Carruba, G., Davinelli, S., Passarino, G., Scapagnini, G., Vasto, S., & Caruso, C. (2016) · Immunity & Ageing · doi:10.1186/s12979-016-0071-2 · Cited by 69
Calder, P. C., Kreider, R. B., & McKay, D. L. (2025) · Nutrients · doi:10.3390/nu17020279 · Cited by 16
Self-citation
Metadata
- Authors
- Albers, R., Bourdet-Sicard, R., Braun, D., Calder, P. C., Herz, U., Lambert, C., Lenoir-Wijnkoop, I., Méheust, A., Ouwehand, A., Phothirath, P., Sako, T., Salminen, S., Siemensma, A., van Loveren, H., & Sack, U.
- Affiliations
- Unilever Research and Development Vlaardingen (NL)
- University of Southampton (GB)
- Centre Hospitalier Universitaire de Saint-Étienne (FR)
- International Life Sciences Institute Europe (BE)
- DuPont (Finland) (FI)
- Nestlé (Switzerland) (CH)
- Yakult (Netherlands) (NL)
- University of Turku (FI)
- FrieslandCampina (Netherlands) (NL)
- Leipzig University (DE)
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-08-01
- Volume
- 110
- Issue
- S2
- Pages
- S1-S30
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- PMC
- PMC3734536
- OpenAlex
- W2169076799
- Cited by
- 150
- References
- 305
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 12 · 2023: 8 · 2022: 14 · 2021: 13 · 2020: 12 · 2019: 10 · 2018: 12 · 2017: 15 · 2016: 13 · 2015: 15 · 2014: 14 · 2013: 2
- FWCI
- 14.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- British Journal Of Nutrition (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- reroDoc Digital Library (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, cc-by-nc-sa)
- ePrints Soton (University of Southampton) (submittedVersion)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Mead Johnson Nutrition
- Danone
- Loughborough University
- Universiteit Utrecht
- Consiglio Nazionale delle Ricerche
- Università di Bologna
- Université de Lausanne
- FrieslandCampina
- Wageningen University and Research
- DSM Nutritional Products
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
- Keywords
- immune function, nutrition, dietary intervention, pathogen defense, allergy, metabolic inflammation, marker selection, research design, outcome interpretation, general population
- MeSH terms
- Health Status, Humans, Hypersensitivity, Immune System, Infections, Inflammation, Nutritional Physiological Phenomena, Research Design, Biomarkers, Outcome Assessment, Health Care, Guidelines as Topic
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 ›
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