Plasma levels of eight different mediators and their potential as biomarkers of various clinical malaria conditions in African children

Table 4 Assessment by principal component analyses of the association between eight plasma proteins and clinical malaria condition

	Factor 1	Factor 2	Eigenvalues	Proportion (%)	Cumulative %
A
Fractalkine	0.85545	−0.11784	3.3656	42.070	42.070
MIG	0.73788	0.39620	1.1835	14.793	56.863
Neopterin	0.70432	−0.43758	1.0940	13.676	70.539
CD14	0.62246	−0.25274	0.7673	9.592	80.130
sTREM-1	0.56695	0.61686	0.6733	8.417	88.547
CD163	0.53826	0.23644	0.4064	5.080	93.627
suPAR	0.10568	0.46070	0.3428	4.286	97.913
PTX3	−0.76387	0.32950	0.1670	2.087	100.000
B
suPAR	0.88028	0.03387	2.5280	31.600	31.600
PTX3	0.76330	−0.15305	1.2911	16.139	47.738
sTREM-1	0.74615	−0.13346	1.1018	13.773	61.511
sCD14	0.34031	−0.46342	0.8155	10.193	71.705
sCD163	0.32028	0.63252	0.7944	9.930	81.635
MIG	0.06559	0.44941	0.6824	8.529	90.165
Neopterin	−0.43095	0.33440	0.4736	5.920	96.085
Fractalkine	−0.45310	−0.56576	0.3132	3.915	100.000
C
Neopterin	0.93285	−0.17805	3.1726	39.658	39.658
sTREM-1	0.76040	0.18134	1.2971	16.214	55.871
suPAR	0.57427	0.57156	0.9591	11.988	67.860
MIG/CXCL9	0.48202	0.36299	0.8547	10.684	78.544
PTX3	−0.14160	0.69833	0.7624	9.530	88.074
sCD163	−0.29783	0.47885	0.5191	6.489	94.563
sCD14	−0.47978	0.17089	0.3726	4.658	99.221
Fractalkine	−0.90726	0.16699	0.0623	0.779	100.000

The main associations found between biomarkers and clinical outcomes using rescaled variables for PCA analyses are indicated and sorted out for each clinical malaria condition
The combination of Fractalkine, MIG/CXCL9 and neopterin was the best predictor of AM condition (A). The combination of suPAR, PTX3 and sTREM-1 was the best indicator of the UM condition (B) whereas that of neopterin, suPAR and Fractalkine was strongly predictive of SM–CM conditions (C)
In each Table, two columns (Factor 1 and 2) indicate the correlation coefficients determined between each vector and the main component. Eight values are associated with vectors and the proportion (%) reflects how much of the variance is explained by each vector. The last column indicates the cumulative percentage of the variance explained by the different vectors sorted out by decreasing order of the corresponding eigenvalues

ISSN: 1475-2875