Figure 3

Heatmap and Principal Component Analysis (PCA) showing clusters of cellular aging markers (telomere length, telomerase activity and CDKN2A expression), inflammatory cytokines and anti-oxidant gene expression. (A) Heat-map displaying results of our hierarchical cluster analysis and differential expression level of grouped study variables at time points C-1, DT+1 and C+64. TL = telomere length, #LFT = liver function test abnormality score, CDKN2A = cyclin dependent kinase inhibitor 2A. (B) 2D PCA, separating cytokines, anti-oxidants, and TL during time points C-1 (red circles), DT+1 (green plus symbol), and C+64 (red dots). (C) K-mean cluster separating variables into three PC axes (Prin1-3) to visualize the separation between time point C-1 and C+64 (red circle) from DT+1 (green plus-symbol). Data visualization is based on analysis in Stata software (StataCorp. 2017, Stata Statistical Software: Release 15. College Station, TX: StataCorp LLCVersion 15).