Identification of serum biomarkers for aging and anabolic response

Immunity & Ageing

Table 2 Correlation between Baseline Markers.

	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*

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.