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A Consideration of Biomarkers to be Used for Evaluation of Inflammation in Human Nutritional Studies
Open accessAbstract
To monitor inflammation in a meaningful way, the markers used must be valid: they must reflect the inflammatory process under study and they must be predictive of future health status. In 2009, the Nutrition and Immunity Task Force of the International Life Sciences Institute, European Branch, organized an expert group to attempt to identify robust and predictive markers, or patterns or clusters of markers, which can be used to assess inflammation in human nutrition studies in the general population. Inflammation is a normal process and there are a number of cells and mediators involved. These markers are involved in, or are produced as a result of, the inflammatory process irrespective of its trigger and its location and are common to all inflammatory situations. Currently, there is no consensus as to which markers of inflammation best represent low-grade inflammation or differentiate between acute and chronic inflammation or between the various phases of inflammatory responses. There are a number of modifying factors that affect the concentration of an inflammatory marker at a given time, including age, diet and body fatness, among others. Measuring the concentration of inflammatory markers in the bloodstream under basal conditions is probably less informative compared with data related to the concentration change in response to a challenge. A number of inflammatory challenges have been described. However, many of these challenges are poorly standardised. Patterns and clusters may be important as robust biomarkers of inflammation. Therefore, it is likely that a combination of multiple inflammatory markers and integrated readouts based upon kinetic analysis following defined challenges will be the most informative biomarker of inflammation.
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“the presence of certain social, psychological, environmental and biological factors has been linked to the prevention of resolution of acute inflammation and, in turn, the promotion of a state of low-grade, non-infective (that is, ‘sterile’) systemic chronic inflammation (SCI)”
From Chronic inflammation in the etiology of disease across the life span (2019) · cites this paper as [16]
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Metadata
- Authors
- Calder, P. C., Ahluwalia, N., Albers, R., Bosco, N., Bourdet-Sicard, R., Haller, D., Holgate, S. T., Jönsson, L. S., Latulippe, M. E., Marcos, A., Moreines, J., M'Rini, C., Müller, M., Pawelec, G., van Neerven, R. J. J., Watzl, B., & Zhao, J.
- Affiliations
- University of Southampton (GB)
- Inserm (FR)
- NutriLeads (Netherlands) (NL)
- Nestlé (Switzerland) (CH)
- Technical University of Munich (DE)
- International Life Sciences Institute Europe (BE)
- Consejo Superior de Investigaciones Científicas (ES)
- Pfizer (United States) (US)
- Wageningen University & Research (NL)
- University of Tübingen (DE)
- Max Rubner Institut (DE)
- Yakult (Netherlands) (NL)
- ORCID
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-01-23
- Volume
- 109
- Issue
- S1
- Pages
- S1-S34
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2134634767
- Cited by
- 425
- References
- 345
- Citations by year
- 2026: 25 · 2025: 36 · 2024: 28 · 2023: 48 · 2022: 47 · 2021: 44 · 2020: 42 · 2019: 35 · 2018: 25 · 2017: 23 · 2016: 22 · 2015: 23 · 2014: 20 · 2013: 7
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal Of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, other-oa)
- ePrints Soton (University of Southampton) (submittedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- OpenAgrar (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Pfizer
- University of Missouri
- Danone
- National Institute for Health and Care Research (NF-SI-0510-10021)
- Bangor University
- Universidad de Córdoba
- FrieslandCampina
- Consejo Superior de Investigaciones Científicas
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
- Keywords
- inflammatory markers, low-grade inflammation, biomarker standardization, kinetic analysis, predictive biomarkers, nutrition and immunity
- MeSH terms
- Diet, Food, Humans, Inflammation, Nutritional Physiological Phenomena, Biomarkers
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