TABLE 1.
Control | AD | p-value | |
N | 33 (47.2% Male) | 22 (22.7% Male) | |
Aβ1-40 (pg/ml) | 10863.7 ± 4014.6 | 15413.9 ± 8628.6 | 5.2 × 10–3 |
Aβ1-42 (pg/ml) | 943.4 ± 287.6 | 465.7 ± 137.9 | <1.0 × 10–4 |
p-Tau (pg/ml) | 51.2 ± 30.9 | 93.7 ± 43.2 | 2.9 × 10–3 |
Total-Tau (pg/ml) | 282.3 ± 194.6 | 717.4 ± 507.9 | 3.0 × 10–4 |
Aβ1-42∗10/Aβ1-40 | 0.9 ± 0.2 | 0.39 ± 0.2 | <1.0 × 10–4 |
Least squares multiple regression analysis was used to analyze the relationship between the dependent variables (biomarkers) and the independent variables (age, gender, disease). A p < 0.05 was considered statistically significant.