Peptides Derived from Mycobacterium leprae ML1601c Discriminate between Leprosy Patients and Healthy Endemic Controls

Table 2

Use of factor analysis for grouping together peptides and protein inducing similar patterns of IFN-γ responses*.

	Factor 1	Factor 2	Factor 3
p11	0.9630	0.0767	0.1875
p12	0.9401	0.0452	0.1643
p13	0.9219	0.0913	0.2498
p14	0.7010	0.0961	0.3563
p15	0.1877	−0.0058	0.9473
p16	0.9243	0.0214	0.1205
p17	0.1487	0.9606	0.0324
p18	0.5554	−0.0218	0.3223
p19	0.7157	−0.0095	0.3751
p20	0.3068	0.0327	0.8787
p3	0.9524	0.0701	0.1830
ML1601c	−0.0081	0.9788	−0.0103

*Values indicative of high correlation of a peptide IFN-γ response with one factor are depicted in bold. Factor analysis of the IFN-γ responses induced by the ML1601c protein and ML1601c peptides was performed with IFN-γ values observed in MB, PB, HHC, TB, and EC (STATISTICA, data analysis software system, version 9). The 3 factors are new and independent variables that capture the characteristics of the original variables (IFN-γ responses to the peptides and ML1601c protein in the different groups). The factor loadings indicative of the correlation of the IFN-γ responses induced by a peptide with each factor are shown. The 0.80000 value was arbitrarily selected for indicating a high correlation of one peptide with a given factor.