Table 2.
The selection criteria for aging biomarkers among MLR, PCA, and KDM.
| Selection criteria | Assessment Methods |
|---|---|
| Significantly correlated with CA | MLR (3, 13, 14, 20–22, 27, 32, 35, 40, 45, 54), PCA (3, 4, 10, 16, 18, 19, 23–26, 28–30, 35, 40, 45, 54), KDM (3, 34, 35, 40, 45, 54) |
| Non-redundant variables | MLR (35, 40, 45), PCA (4, 10, 16, 25, 26, 28–31, 35, 36, 40, 45), KDM (35, 40, 43, 45) |
| Used in previous studies | MLR (3, 22, 27, 32, 54), PCA (3, 54), KDM (3, 33, 37–39, 42–44, 48, 54) |
| Monitors the underlying mechanisms of the aging process rather than the effects of disease | MLR (20, 32, 35, 40), PCA (29, 31, 35, 40), KDM (35, 40, 43) |
| Repeatable measurements | MLR (14, 35), PCA (35, 46), KDM (35, 38, 46) |
| Reflects different organs or physiological functions | MLR (13, 15, 54), PCA (15, 23, 54), KDM (38, 54) |
| Variables with higher loadings within the first principal component | MLR (3, 15), PCA (3, 10, 15), KDM (3) |
| Test results can be quantified | MLR (35), PCA (16, 30, 31, 35, 46), KDM (35, 46) |