Evidence map›Paper›PMID 42228421›Full record

ArticleJCI insight2026

Mapping the plasma proteomic architecture of systemic lupus erythematosus.

Geoffrey Hd Leung, Charlotte Bottomley, Norzawani Buang, Robert T Maughan, Benjamin J Whittle, Boroumand Zeidaabadi, Yun-Ju Huang, Tabitha Turner-Stokes, Marie Condon, Liz Lightstone and 4 more

Abstract read
In one paragraph

Article in JCI insight, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Geoffrey Hd LeungDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Charlotte BottomleyDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Norzawani BuangDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Robert T MaughanDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Benjamin J WhittleDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Boroumand ZeidaabadiDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Yun-Ju HuangDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Tabitha Turner-StokesDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Marie CondonImperial Lupus Centre, Imperial College Healthcare NHS Trust, London, United Kingdom.
Liz LightstoneDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Tom CairnsImperial Lupus Centre, Imperial College Healthcare NHS Trust, London, United Kingdom.
Marina BottoDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Matthew C PickeringDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
James E PetersDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

AutoantibodiesLupus Erythematosus, SystemicProteomeProteomicsAdultAntibodies, AntinuclearCase-Control StudiesCytokinesFemaleHumansMaleMiddle AgedUbiquitinsAntibodies, AntinuclearAutoantibodiesCytokinesISG15 protein, humanProteomeUbiquitinsAutoimmunityClinical ResearchInflammationLupusProteomicsRheumatology

Identifiers

PMID42228421
PMCPMC13461151

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.