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. 2020 Mar 13;11:390. doi: 10.3389/fimmu.2020.00390

Table 2.

Factor extraction and variance analysis from a four principal factors solution.

Non-transmitter women Transmitter women Congenitally infected newborns
Molecular marker Commonality Unique Molecular marker Commonality Unique Molecular marker Commonality Unique
Factor 1 TNFα 0.17 0.82 TNFα 0.23 0.77 TNFα 0.24 0.76
IL-2 0.16 0.84 IFNγ 0.25 0.75 Lym 0.38 0.62
IL-5 0.25 0.75
Factor 2 IgG3 0.57 0.43 IgG4 0.51 0.49 IgG3 0.48 0.52
IL-8 (–) 0.4 0.6 CD19 0.29 0.71
Factor 3 IgG1 0.36 0.64 IL-6 0.46 0.54 IL-6 0.38 0.62
IgG2 0.34 0.66 IL-8 0.51 0.49 IL-8 0.23 0.77
IgG4 0.31 0.69 IgG4 0.35 0.65
Factor 4 CD8 0.35 0.65 CD19 0.32 0.68 CD3 0.44 0.56
IL-4 (–) 0.37 0.63 Lym 0.51 0.49 CD4 0.5 0.49

Variance analysis by the principal factor method. The total variance associated with each of the original variables is expressed as the portion of the variance in communality with other markers, explained by a common factor or the portion of unique variance which has nothing in common with any other variable. The unique factor includes the inherent variability for each variable. (–) negative loading, see Table 1.