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Título: | A CONSIDERATION OF BIOMARKERS TO BE USED FOR EVALUATION OF INFLAMMATION IN HUMAN NUTRITIONAL STUDIES |
Autor: | Calder, P. C.; Marcos, Ascensión CSIC ORCID | Palabras clave: | Chemokine Cytokine Leukocyte Acute phase Inflammation |
Fecha de publicación: | 16-sep-2013 | Resumen: | Background and objectives: Inflammation is a normal process and there are a number of cells and mediators involved. They are common to all inflammatory diseases and inflammatory responses, and to both high-grade and low-grade inflammation. Despite great advances linking nutrition to inflammatory processes, there is no consensus as to which markers of inflammation best represent low-grade inflammation or differentiate among acute and chronic inflammation or between the initiation, propagation and resolution phases of inflammatory responses. Methods: To provide state-of-the science guidance, the ILSI Europe Nutrition and Immunity Task Force commissioned an Expert Group on Biomarkers of Inflammation, with the aim to evaluate the suitability of inflammatory markers in studies evaluating the impact of nutrition. For this project, the Expert Group identified 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. Results: Guidance for use of markers in nutrition research: There are a number of modifying factors that affect the concentration of an inflammatory marker at a given time; these modifying factors include age, body fatness, physical (in)activity, sex, smoking, genetics and microbiota composition. Probably most informative is measuring concentration changes in response to a challenge. A number of inflammatory challenges reflecting metabolic stress, infection, and tissue damage have been described. However, many of these challenges are poorly standardised. Patterns and clusters may be important as robust biomarkers of inflammation. Conclusions: The review provides guidance for future studies in the general population, specifically noting that challenge models and cluster analyses seem promising but require rigorous standardisation and testing in prospective cohorts to assess their predictive value. Overall, the guidance contributes to a better understanding of the current limitations and opportunities for assessing inflammation. | URI: | http://hdl.handle.net/10261/87980 |
Aparece en las colecciones: | (ICTAN) Comunicaciones congresos |
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