Table 1.
LIPS diagnostic autoantibody characteristics in SLE.
Figure 1.
SLE autoantibody clusters in the pilot cohort.
A colored heat map was used to visualize the autoantibody titers in the SLE patients. Autoantibody titers were transformed to Z scores as described in the Materials and Methods and color coded as indicated by the scale at right, in which signal intensities from green to black indicate high and low titers, respectively. To segregate the SLE patients into clusters, the relative ratio (RR) of the sum titer of Sm-D3, RNP-A and RNP-70k divided by the sum titer of Ro52, Ro60 and La autoantibodies was calculated for each patient. Patients with a RR≥1 were assigned to the Sm/RNP cluster (top panel) while patients with a RR<1 were assigned to the Ro/La cluster (bottom panel). Patients with a pure Sm/RNP or pure Ro/La phenotype are indicated.
Table 2.
Sensitivity and specificity of Ruc-antigen fusions in an independent validation cohort.
Figure 2.
Validation of two major autoantibody clusters in SLE.
A second SLE cohort was analyzed for autoantibody titers. A heatmap was again constructed and antibody clusters were determined as in Figure 1. Similar to the prevalence seen in the first cohort, 47% of the SLE samples showed a Sm/RNP cluster phenotype and 51% showed a Ro/La cluster phenotype.
Table 3.
Percentage of patients in each cluster with specific clinical manifestations and autoantibodies.
Table 4.
Percentage of autoantibody positive patients by a given clinical manifestation.
Table 5.
Percentage of seropositive patients by ethnicity.
Table 6.
Percentage of seropositive patients by age group.
Table 7.
Percentage of seropositive patients by anti-dsDNA antibody status.
Figure 3.
Comparison of LIPS mixture test with the sum of the individual tests for SLE diagnosis.
Antibody titer data from the LIPS mixture test was plotted against the sum of the titer of the individual Ro52, Ro60, La, Sm-D3, RNP-A and RNP-70k autoantibody titers. Each circle represents an individual patient. Using the Spearman rank test, the correlation between the two tests was R = 0.95.