Table 1.
Differences between discrete categorised variable of the entire sample population.
Figure 1.
Effect of age on tissue lipid peroxidation in (A) males (B) females.
(A) Lipid peroxidation increases with age in male subjects. MDA levels in human tissue increased significantly with age in males aged between 0–77 years (Line a; p = 0.0003; n = 27). Line b shows post-pubescent (males only) data (p = 0.0044; n = 19). Spearman's correlation coefficient for the non-normally distributed population was r = 0.643 and r = 0.623 for line a, and line b respectively. An exponential (first-order) least squares fit was used to generate the nonlinear trend lines (line a and b). (B) Changes in lipid peroxidation with age in female subjects. The apparent increase in MDA levels in post-pubescent females (36–76 years) is not statistically significant (p = 0.3734; n = 22). Spearman's Correlation coefficient for a non-normally distributed population was 0.200. An exponential (first-order) least squares fit was used to generate the nonlinear trend line.
Figure 2.
Correlation between Phosphorylation of H2AX at Ser139 and age in both (A) Males (B) Females.
(A) Phosphorylated-H2AX as a marker for DNA damage in male subjects show a significant correlation with age. Line a represents the correlation for subjects aged between 0–77 years (p = 0.0095; n = 27). Line b shows post-pubescent data (males only) (p = 0.0286; n = 19). Pearson's Correlation coefficient for normally distributed data was r = 0.490 and r = 0.502 for line a, and line b respectively. An exponential (first-order) least squares fit was used to generate the nonlinear trend lines (line a and b). (B) Phosphorylated-H2AX as a marker for DNA damage in post-pubescent female subjects shows a significant positive correlation with age (36–76 years) (p = 0.003; n = 22). Pearson's Correlation coefficient for a normally distributed population was r = 0.600. An exponential (first-order) least squares fit was used to generate the nonlinear trend line.
Figure 3.
Correlation between PARP activity and aging in (A) Males (B) Females.
(A) PARP activity increases with age in male subjects. PARP activity increases significantly in male subjects aged between 0–77 years (line a; p<0.0001; n = 27). The data including the post-pubescent subjects (males only) shows no significant change in PARP activity with age (line b; p = 0.0913; n = 19). Pearson's correlation coefficient was a normally distributed population was r = 0.768 and r = 0.399 for line a, and line b respectively. An exponential (first-order) least squares fit was used to generate the nonlinear trend lines (line a and b). (B) PARP activity with age in female subjects (n = 27). The apparent increase in PARP activity with age (36–76 years) is not statistically significant in post-pubescent female subjects (p = 0.4390; n = 22). Spearman's Correlation coefficient for a non-normally distributed population was r = 0.174. An exponential (first-order) least squares fit was used to generate the nonlinear trend line.
Figure 4.
Correlation between NAD+ levels and Age in (A) Males (B) Females.
(A) NAD+ concentrations decline with age in males. NAD+ levels decreased significantly in males aged between 0–77 years (line a; p = 0.0007; n = 27). Pearson's correlation coefficient for a normally distributed population, r = −0.769. The post-pubescent data for male subjects also showed a decline in NAD+ levels with age (line b; r = −0.706; p = 0.0001; n = 19). An exponential (first-order) least squares fit was used to generate the nonlinear trend lines (line a and b). (B) NAD+ concentrations decreased significantly with age (36–76) in post-pubescent females (p = 0.01; n = 22). Pearson's correlation coefficient for a normally distributed population,r = −0.537. An exponential (first-order) least squares fit was used to generate the nonlinear trend line.
Figure 5.
Correlation between SIRT1 Activity and Age in (A) Males (B) Females.
(A) SIRT1 activity declines with age in post-pubescent males. The apparent negative correlation in SIRT1 activity with age in males aged between 0–77 years was not statistically significant (line a; p = 0.0385; n = 27). Spearman's correlation coefficient for a non-normally distributed population, r = −0.400. Line b represents the post-pubescent data shows a significant negative correlation with age (r = −0.612; p = 0.007; n = 19). An exponential (first-order) least squares fit was used to generate the nonlinear trend lines (line a and b). (B) Changes in SIRT1 with age in females. The apparent increase in PARP activity with age (36–76 years) is not statistically significant (p = 0.3743; n = 22). Spearman's correlation coefficient for a non-normally distributed population,r = 0.194. An exponential (first-order) least squares fit was used to generate the nonlinear trend line.
Figure 6.
(A) Lipid peroxidation increases significantly in parallel to increased DNA damage in post pubescent males (p<0.0001).
The subjects were aged between 15–77 years (n = 19). Spearman's correlation coefficient, r = 0.7209. An exponential (first-order) least squares fit was used to generate the nonlinear trend line. (B) PARP activity decreases in line with a decline in NAD+ levels in post pubescent male subjects (p = 0.0149). . The subjects were aged between 15–77 years (n = 19). Pearson's correlation coefficient,r = −0.5491 An exponential (first-order) least squares fit was used to generate the nonlinear trend line. (C) Correlation between NAD+ levels and SIRT1 activity in post pubescent male subjects. The subjects were aged between 15–77 years (n = 19). The correlation is not of statistical significance (p = 0.9829). Pearson's correlation coefficient,r = −0.005263.