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. 2016 Jul 5;23(7):601–609. doi: 10.1128/CVI.00128-16

TABLE 3.

Principal component analysis of serum cytokine concentrations differentiating acute iNTS disease and convalescencea

Cytokine Analysis resultb
PC1iNTS PC2iNTS
LTA 0.94 −0.15
CSF1 0.92 −0.03
NGF 0.88 0
IL-3 0.85 0.1
CCL7 0.83 −0.03
LIF 0.83 −0.06
IFNα2 0.81 0
IL-2Ra 0.81 0.07
KITLG 0.81 0.1
IL-12p40 0.78 0.16
IL-18 0.77 0.07
CXCL9 0.72 0.1
CCL27 0.65 0.06
HGF 0.54 0.43
CXCL12 0.5 0.33
IL-1Ra 0.03 0.88
IL-6 0.06 0.85
CSF3 −0.05 0.77
IL-10 0.13 0.72
CXCL10 0.07 0.7
IL-15 −0.02 0.68
IL-8 0.24 0.6
CLEC11A 0.11 0.5
MIF 0.23 0.34
PDGFβ −0.12 −0.3
IL-5 0.04 0.01
IL-1α 0.18 0.33
Eigenvalue 10.26 5.62
Proportion variance 0.38 0.21
a

Measurements of 27 cytokines in 146 participant samples (73 matched acute- and convalescent-phase sample pairs) are included in the analysis.

b

For each PC, the factor loading of each cytokine included in the analysis is displayed. Factor loadings represent the correlation between each cytokine and a principal component, varying between −1 and +1. The larger the absolute value of a given factor loading, the greater importance of that cytokine to the principal component. We define influential cytokines for a given principal component as having a factor loading of >0.4 or <−0.4. Cytokines with loadings in excess of ±0.4 account for at least 16% of the variance in the principal component. Influential cytokines for each principal component are displayed in boldface.