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Accurate and Simple Measurement of the Pro-inflammatory Cytokine IL-1β using a Whole Blood Stimulation Assay
Published on: March 2, 2011
Measurement of cytokines in clinical samples using immunoassays: problems and pitfalls
1ICRF Cancer Medicine Research Unit, St James's University Hospital, Leeds, UK.
Insights
Measuring cytokines in body fluids requires careful consideration of influencing factors. This review highlights key variables like assay properties and biological influences to improve data quality and interpretation in clinical studies.
Area of Science:
- Immunology and Clinical Chemistry
- Biomarker Discovery and Validation
Background:
- Growing interest in cytokines for disease pathogenesis has led to increased measurement in biological samples.
- Significant disparities exist in cytokine measurement studies due to low awareness of influencing factors.
Purpose of the Study:
- To review factors influencing cytokine measurements in clinical samples.
- To improve the quality and interpretation of cytokine data in research and clinical settings.
Main Methods:
- Literature review of factors affecting cytokine assay results.
- Discussion of assay properties (standardization, specificity) and biological influences (age, sex, diurnal rhythm).
Main Results:
- Identified numerous factors impacting cytokine measurement accuracy and reproducibility.
- Highlighted the need for minimum assay evaluation, including recovery, parallelity, and reproducibility studies.
Conclusions:
- Increased awareness of influencing factors is crucial for enhancing cytokine measurement quality.
- Standardized evaluation of assays and consideration of biological variability will improve data reliability and clinical interpretation.
Abstract:
With the explosion in interest in cytokines and an increasing understanding of their possible involvement in the pathogenesis of many diseases, the number of studies measuring cytokines in body fluids has increased markedly over the last 5 to 10 years. However, it is readily apparent from the literature that the level of awareness of the many factors that can potentially influence the results obtained is very low. Such factors are likely to contribute considerably to the disparities seen among similar types of study. These include assay properties such as standardization and specificity, type of sample and sample handling, and many biological influences such as age, sex, ethnic background, and diurnal rhythmicity. Clearly, it is not possible to control for all these factors, but a minimum evaluation of assays should be carried out as described, including recovery and parallelity studies using relevant samples and the establishment of reproducibility and normal healthy population levels. An awareness of these factors, which is the purpose of this review, may hopefully lead to an improvement in the quality of studies incorporating the measurement of cytokines in clinical samples and should aid in the interpretation of the data.
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