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Table 4 Best combination of cytokines pattern able to predict IL-17 and of factors predicting the intima-media thickness

From: Is serum Interleukin-17 associated with early atherosclerosis in obese patients?

Dependent Y IL-17
Independent variables Coefficient Std. error β t P
IL-8 1.61 0.085 0.90 18.9 <0.0001
Eotaxin 0.28 0.074 0.39 3.79 0.0003
Variables not included in the model IL-6, TNF-α, CCL4/MIP1β
Zero order correlation coefficients:
IL-8: r 0.91, IL-6: r 0.67, TNF-α : r 0.87, CCL4/MIP1β: r 0.65, Eotaxin: r 0.47
Dependent Y IMT
Independent variables Coefficient Std. Error β t P
Eotaxin 0.00011 0.000039 0.30 2.8 0.0059
VAT 0.0046 0.0013 0.36 3.4 0.0010
Variables not included in the model: smoking status ,ferritin, HS grade at US, ImTG score at US, age, LDL,
Zero order correlation coefficients:
Eotaxin: r 0.27, VAT: r 0.33, ferritin: r 0.24, HS grade at US: r 0.29, ImTG score at US: r 0.25
The latter model adjusted for Age
Dependent Y IMT
Independent variables Coefficient Std. Error β t P
Eotaxin 0.0027 0.000032 0.32 2.8 0.0059
VAT 0.0014 0.0011 0.26 3.4 0.0010
AGE 0.0014 0.00023 0.58 6.20 <0.0001
  1. Zero order correlation coefficients: Eotaxin: r= 0.27, r= VAT: r= 0.33, Age r= 0.61.
  2. Multiple Regression Equations, Stepwise Method, using IMT or IL-17 as dependent variables. In blue is evidenced the regression line; in dark red the 95% prediction and in light red the 95% prediction. Chemokine (C-C motif) ligand 4 CCL4/MIP1β, Interferon-Gamma IFN-γ, Interleukin-17 IL-17, Interleukin-8 IL-8 C, Tumor Necrosis Factor alpha TNF-α, Interleukin-6 IL-6, Interleukin-17 IL-17.