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Mapping the plasma proteomic architecture of systemic lupus erythematosus
Geoffrey H.D. Leung, Charlotte Bottomley, Norzawani Buang, Robert T. Maughan, Benjamin J. Whittle, Boroumand Zeidaabadi, Yun-Ju Huang, Tabitha Turner-Stokes, Marie Condon, Liz Lightstone, Tom Cairns, Marina Botto, Matthew C. Pickering, James E. Peters
Geoffrey H.D. Leung, Charlotte Bottomley, Norzawani Buang, Robert T. Maughan, Benjamin J. Whittle, Boroumand Zeidaabadi, Yun-Ju Huang, Tabitha Turner-Stokes, Marie Condon, Liz Lightstone, Tom Cairns, Marina Botto, Matthew C. Pickering, James E. Peters
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Research Article Clinical Research Inflammation

Mapping the plasma proteomic architecture of systemic lupus erythematosus

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Abstract

Systemic lupus erythematosus (SLE) is a heterogeneous systemic autoimmune disease, yet the molecular basis underlying this variability remains incompletely understood. We profiled the plasma proteome in 260 SLE patients and 86 healthy volunteers (HVs) using the SomaScan v4.1 platform, quantifying 7,288 analytes corresponding to 6,595 unique proteins. We identified 215 proteins that were robustly differentially abundant between SLE patients and HVs in both discovery (n = 207 SLE, n = 45 HVs) and validation sets (n = 53 SLE, n = 41 HVs). Within-cases analyses identified 421 proteins associated with disease activity. Network-based clustering delineated correlated protein modules, including an interferon-associated (IFN-associated) module and a kidney-associated module. Autoantibody-stratified analyses further uncovered distinct proteomic endotypes; positivity for antibodies targeting RNA-binding proteins (anti-Sm, anti–Ro-60, anti-RNP68, anti–RNP-A) was associated with increased IFN-stimulated protein levels (e.g., MX1, ISG15, and CXCL10), independent of disease activity. Anti-Sm, anti–RNP-A, and anti-Ro52 antibodies were associated with reduced plasma levels of their respective autoantigens. Anti-dsDNA antibodies were associated with elevated levels of CD40 ligand (CD40LG) and the neutrophil protease, proteinase-3. Moreover, we identified an association between CD40LG and disease activity specific to the anti-dsDNA–positive subgroup. Together, these data define plasma protein signatures of SLE and disease activity, highlight autoantibody-specific molecular phenotypes, and provide a basis for precision medicine.

Authors

Geoffrey H.D. Leung, Charlotte Bottomley, Norzawani Buang, Robert T. Maughan, Benjamin J. Whittle, Boroumand Zeidaabadi, Yun-Ju Huang, Tabitha Turner-Stokes, Marie Condon, Liz Lightstone, Tom Cairns, Marina Botto, Matthew C. Pickering, James E. Peters

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Figure 6

Proteins associated with anti-dsDNA autoantibodies.

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Proteins associated with anti-dsDNA autoantibodies.
(A) Proteins differe...
(A) Proteins differentially abundant in anti-dsDNA–positive (n = 70) versus anti-dsDNA–negative (n = 140) SLE samples, without adjustment for disease activity. Each point represents a protein. Red, significantly upregulated; blue, significantly downregulated; gray, nonsignificant. (B) As for A, but after adjustment for disease activity. (C) Examples of proteins associated with anti-dsDNA antibodies independent of disease activity. Protein levels in anti-dsDNA antibody–positive and –negative samples are shown stratified by disease activity. (D) The association of plasma CD40LG with disease activity is restricted to anti-dsDNA–positive individuals. SLEDAI-2K modified to exclude anti-dsDNA antibody status from the score. Each point represents an SLE sample. Solid line represents the line of best fit from linear regression. Protein levels in C and D have been adjusted for batch and sex. PBH, Benjamini-Hochberg–corrected P value; CI, confidence interval.

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