Inflammatory Biomarker Levels and Vaccine Response

This study was conducted as part of a parent grantwhich examined the relationship between components of sleep and antibody responses to the flu vaccine in a population of 392 nurses working at two large hospitals. During/after sleep data was collected, nurses had blood drawn at four time points: immediately pre-vaccination, 1-, 6-, and 11-months post vaccine to obtain serum for detection of anti-influenza antibodies measured with an HI (hemagglutination inhibition) assay. Additionally, the inflammatory biomarkers IL6, IL1-β, TNF-α and CRP were measured at the pre-vaccine time point only to determine any correlation between the markers and antibody response. Data was analyzed using a hierarchical regression. In the first step, analyses assessed whether each change/average in cytokines over the one-month period had an impact on vaccine response for each of the four viral strains in the flu vaccine. In a second step, analyses assessed whether variables such as insomnia, stress, age, smoking, BMI, and race had any impact on vaccine response beyond the effects exerted through inflammation. The change in association (β) between the primary independent variable and primary dependent variable were examined in order to determine whether there are any suppression effects caused by baseline covariates on the relationship between inflammation changes or averages and antibody response. No relationship was discovered between circulating inflammatory changes or circulating inflammatory averages and antibody response. There was a weak correlation between CRP at Timepoint A and CRP at Timepoint B. No relationship was observed between age and circulating inflammation. The lack of relationship was likely due to the use of circulating inflammatory biomarkers; this may be an insufficient approach to determine chronic inflammatory status.