Table 1.
Characteristics of the study population (n = 8,972).
Fig 1.
Distribution of MFI for five c-aAb in healthy blood donors.
Plasma samples from 8,972 healthy participants were diluted 10-fold and incubated with cytokine-conjugated MagPlex beads. High levels of c-aAb MFI signals were defined as the 99th MFI percentile (black lines), as described in materials and methods. White lines indicate median with interquartile range. One screening was performed per sample.
Table 2.
Distribution of c-aAb in the study population (n = 8,972).
Fig 2.
A pool of IgG derived from Danish blood donors (Privigen®) was serially diluted in assay buffer followed by incubation with cytokine-conjugated MagPlex beads and analysis on a Luminex 100 platform. The IgG pool c-aAb levels were analyzed at a final dilution range of 0.625 to 50 mg/ml. The data shown represent averages with SD for experiments with 3 individual lots of Privigen©.
Table 3.
Correlation of c-aAb levels.
Table 4.
Univariate and multivariate analysis of predictors of high levels of c-aAb*.
Fig 3.
Correlation between c-aAb positivity and epidemiological parameters.
Multivariate logistic regression analysis was used to investigate the predictors of high levels of individual c-aAb. Age, sex, obesity, smoking and CRP were used as independent variables and high levels of c-aAb as the dependent variable. For dichotomous variables high levels of c-aAb, female sex, active smoking and obesity were defined as “1”. Data are presented as OR with 95% confidence interval for age, sex, obesity, and smoking (panels A-D) as predictors of high levels of c-aAb. * denotes a p value of < 0.05, **p < 0.01, and *** P ≤ 0.001.
Fig 4.
A: Log-transformed CRP was used as the dependent variable in a series of linear regression analyses, with sex, age, obesity, active smoking and high levels of c-aAb as independent variables. High levels of c-aAb were defined as MFI values above the 99th percentile. Data are presented as regression coefficients with 95% confidence intervals. B: Participant status of being CRP-low (CRP < 0.1 mg/L) was used as the binary dependent variable in a series of logistic regression analyses, with sex, age, obesity, active smoking and high levels of c-aAb as independent variables. Data are presented as OR in favor of being CRP-low, with 95% confidence intervals. ***denotes a p value of ≤ 0.001.