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Table 2 Correlation between Baseline Markers.

From: Identification of serum biomarkers for aging and anabolic response

 

Leptin

IL5

MCP1

VEGF

PIIINP

PDGFBB

IGF1

Eotaxin

IL7

IP10

MIP1β

IL12(p40)

Leptin

 

0.50

-0.28

0.09

0.16

0.10

-0.26

0.02

0.11

-0.06

-0.11

-0.15

IL5

0.50

 

0.42

0.50

0.04

0.01

-0.23

0.00

0.09

0.02

-0.15

-0.18

MCP1

-0.28

0.42

 

-0.04

0.10

-0.07

-0.57

-0.30

-0.04

0.65

0.54

-0.06

VEGF

0.09

0.50

-0.04

 

-0.34

0.51

0.29

0.50

0.35

0.34

0.14

-0.43

PIIINP

0.16

0.04

0.10

-0.34

 

0.46

0.34

0.44

0.57

0.71

0.43

0.62

PDGFBB

0.10

0.01

-0.07

0.51

0.46

 

0.62

0.68

0.85

0.79

0.82

0.85

IGF1

-0.26

-0.23

-0.57

0.29

0.34

0.62

 

0.43

0.54

0.52

0.62

0.69

Eotaxin

0.02

0.00

-0.30

0.50

0.44

0.68

0.43

 

0.75

0.82

0.64

0.69

IL7

0.11

0.09

-0.04

0.35

0.57

0.85

0.54

0.75

 

0.69

0.67

0.65

IP10

-0.06

0.02

0.65

0.34

0.71

0.79

0.52

0.82

0.69

 

0.73

0.80

MIP1β

-0.11

-0.15

0.54

0.14

0.43

0.82

0.62

0.64

0.67

0.73

 

0.89

IL-12(p40)

-0.15

-0.18

-0.06

-0.43

0.62

0.85

0.69

0.69

0.65

0.80

0.89

 
  1. A pairwise Pearson's correlation was done to evaluate the relationship between biomarker levels in the young and old subjects combined. The r2 values for each pairwise correlation is shown. The r2 values ≥ 0.75 were used to identify networks using Ingenuity Pathway Analysis (IPA). In data not shown Akt, NFκB and TGFβ pathways were common among these biomarkers.