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. 2023 Apr 12;11:1074274. doi: 10.3389/fpubh.2023.1074274

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, 2022, 27, 32, 35, 40, 45, 54), PCA (3, 4, 10, 16, 18, 19, 2326, 2830, 35, 40, 45, 54), KDM (3, 34, 35, 40, 45, 54)
Non-redundant variables MLR (35, 40, 45), PCA (4, 10, 16, 25, 26, 2831, 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, 3739, 4244, 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)