NK-Like T Cells and Plasma Cytokines, but Not Anti-Viral Serology, Define Immune Fingerprints of Resilience and Mild Disability in Exceptional Aging
Figure 2
Group assignment of CHS All Stars elders based on 3MSE/ADL scores is discriminated by physical and immune parameters.
Discriminant function analysis was performed on collated physical, demographic, and immunological data (see Table 1 and Tables S1, S2, S3, S4). Using all variables, both simple and stepwise models showed significant separation between impaired and unimpaired groups around the centroid, indicated as the zero-mark on the x-axis (A). Using only immune variables (B), or T cell subset frequency (C), or receptor density on T cells (D) stepwise models showed significant separation between the two groups despite some overlap. When humoral factors were used only in the analysis, only a simple linear model could be constructed (E). Significant contributing variables to models shown in B, C, D were: gait speed (GS); the T cell subsets CD4+CD56+ (46), CD4+CD28nullCD56+CD57+ (4678), CD8+CD158e+ (8e), CD8+CD56+ (86), and CD8+CD28nullCD57+ (878); GMFI of CD57 on CD4 T cells (47 g); the GMFI of NKG2D (8 Dg) and NKG2A (8 Ag) on CD8 T cells; the GMFI (N6 g) and MFI (N6 m) of CD56 on DN T cells; the MFI of NKG2D on CD8 T cells (8 Dm); and the humoral factors GMCSF (GF), IFN-γ (IF), IL-6 (L6), and IL-12p70 (L12). The indicated p-values were based on χ2 test of Wilk's lambda discriminant statistic.