PPBP and DEFA1/DEFA3 genes in hyperlipidaemia as feasible synergistic inflammatory biomarkers for coronary heart disease

Table 3 Significant correlations between mRNA expression of gene profile

Gene	PPBP	DEFA1/DEFA3	HBA2	HBB	IL-1β	CCL3	CCL4	SOD2
PPBP		0.3633 (p = 0.0410)	0.4961 (p = 0.0028)	0.4261 (p = 0.0120)			0.3533 (p = 0.0437)	0.3780 (p = 0.0301)
DEFA1/ DEFA3	0.3633 (p = 0.0410)
HBA2	0.4961 (p = 0.0028)			0.8487 (p < 0.0001)		0.4138 (p = 0.0167)	0.4203 (p = 0.0133)	0.5560 (p = 0.0006)
HBB	0.4261 (p = 0.0120)		0.8487 (p < 0.0001)			0.3626 (p = 0.0381)	0.3595 (p = 0.0368)	0.4747 (p = 0.0046)
IL-1β						0.6199 (p < 0.0001)	0.7173 (p < 0.0001)	0.5514 (p = 0.0007)
CCL3			0.4138 (p = 0.0167)	0.3626 (p = 0.0381)	0.6199 (p < 0.0001)		0.6269 (p < 0.0001)	0.5587 (p = 0.0006)
CCL4	0.3533 (p = 0.0437)		0.4203 (p = 0.0133)	0.3595 (p = 0.0368)	0.7173 (p < 0.0001)	0.6269 (p < 0.0001)		0.8701 (p < 0.0001)
SOD2	0.3780 (p = 0.0301)		0.5560 (p = 0.0006)	0.4747 (p = 0.0046)	0.5514 (p = 0.0007)	0.5587 (p = 0.0006)	0.8701 (p < 0.0001)

The mRNA expressions of gene profile were non-parametric data (mean of fold change). Correlations (r_s) between the expressions were analyzed by the Rho-Spearman correlation analysis. The level was set at <0.05 at a 95% confidence interval. Only significant correlations were shown

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