Performance of cytokine models in predicting SLE activity

Table 3 The correlation of serum biomarkers in all SLE patients (N = 124)

Biomarkers		C3	C4	Anti-DNA	IFN-α	MCP-1	IL-6	IL-8	IL-18
C3	R	–	0.718	−0.324	− 0.363	−0.122	− 0.214	−0.242	− 0.130
C3	P	–	*******	**	*******	ns	ns	ns	ns
C4	R	0.718	–	−0.220	−0.244	− 0039	− 0.113	−0.157	− 0.051
C4	P	*******	–	ns	ns	ns	ns	ns	ns
Anti-dsDNA	R	−0.324	−0.220	–	0.323	0.292	0.125	0.201	0.177
Anti-dsDNA	P	**	ns	–	**	*	ns	ns	ns
IFN-α	R	−0.363	−0.244	0.323	–	0.450	0.653	0.721	0.602
IFN-α	P	*******	ns	**	–	*******	*******	*******	*******
MCP-1	R	−0.122	−0039	0.292	0.450	–	0.330	0.470	0.412
MCP-1	P	ns	ns	*	*******	–	**	*******	*******
IL-6	R	−0.214	−0.113	0.125	0.653	0.330	–	0.784	0.712
IL-6	P	ns	ns	ns	*******	**	–	*******	*******
IL-8	R	−0.242	−0.157	0.201	0.721	0.470	0.784	–	0.720
IL-8	P	ns	ns	ns	*******	*******	*******	–	*******
IL-18	R	−0.130	−0.051	0.177	0.602	0.412	0.712	0.720	–
IL-18	P	ns	ns	ns	*******	*******	*******	*******	–

R = correlation coefficient; *p < 0.05, **p < 0.01, p*** < 0.001, ns non-significant (Bonferroni correction)

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