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 module and a renal-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 interferon-stimulated protein levels (e.g., MX1, ISG15, 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.
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
Usage data is cumulative from June 2026 through June 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 385 | 0 |
| 172 | 0 | |
| Supplemental data | 99 | 0 |
| Citation downloads | 90 | 0 |
| Totals | 746 | 0 |
| Total Views | 746 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.