JCI - Identification of autoantibody clusters that best predict lupus disease activity using glomerular proteome arrays

Identification of autoantibody clusters that best predict lupus disease activity using glomerular proteome arrays

Quan Li Zhen, Chun Xie, Tianfu Wu, Meggan Mackay, Cynthia Aranow, Chaim Putterman, Chandra Mohan

J Clin Invest. 2005; 115(12):3428–3439 doi:10.1172/JCI23587

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Figure 7

The strongest IgM antiglomerular reactivities in human lupus sera. (A) Sera from 11 healthy adults, 37 lupus patients with varying degrees of disease (see Table 1), and 5 RA patients were applied to the glomerular proteome arrays as shown in Figure 1A and developed using Cy3-labeled anti-human IgM. The relative fluorescence intensities for each Ag are depicted using a green/black/red heat map and clustered Ag-wise as described in the legend to Figure 2B. Indicated on the left are a panel of Ags that clustered together, most likely serving as targets for polyreactive Abs. Depicted results are representative of 2 independent experiments using the same sera but fresh arrays. Two additional SLE columns have been included which show results from 2 duplicated samples. (B) For each normal control (n = 11; white dots), RA control (n = 5; black dots), and lupus patient (n = 37; blue dots, total SLEDAI score 0–8; red dots, total SLEDAI score >8), the mean serum IgM anti-DNA reactivity (y axis) was derived by averaging the observed reactivity to ssDNA, dsDNA, and chromatin on the arrays and scatter plotted against the average extent of serum IgM polyreactivity (x axis) to the bottom-most 26 array Ags clustered together in the heat map shown in A. The dotted lines were arbitrarily set to distinguish patients with high IgM anti-DNA Abs and/or high IgM polyreactivity in their sera.