ArticleInflammation and regeneration2025
Anti-survival of motor neuron antibodies in rheumatic and musculoskeletal diseases: prevalence, clinical associations, and biomarker potential, with novel insights into disease activity in SLE.
Article in Inflammation and regeneration, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundAnti-survival of motor neuron (SMN) antibodies have recently been identified in rheumatic and musculoskeletal diseases (RMDs), notably mixed connective tissue disease (MCTD). However, their immunological characteristics, prevalence, and clinical relevance beyond MCTD remain poorly understood. This study aimed to elucidate the clinical significance of anti-SMN antibodies in a wide spectrum of RMDs.
methodsWe assessed anti-SMN antibodies and antibody-producing cells using Western blotting and immunofluorescence staining with recombinant SMN complexes. Serum anti-SMN antibody titers were measured using a recombinant SMN complex-bound magnetic bead assay in 906 serum samples from patients with 16 types of RMDs and healthy controls. Clinical associations and treatment responses were analyzed.
resultsWestern blotting using patients' sera confirmed SMN-specific antibodies. Immunofluorescence staining identified anti-SMN antibody-producing plasma cells in an MCTD patient's lymph node. Anti-SMN antibodies were detected in 36.7% of MCTD, 10.6% of systemic lupus erythematosus (SLE), and 2.4% of systemic sclerosis patients, while none of the healthy controls were positive. Antibody titers were higher against the SMN complex than individual components, highlighting the importance of the complex structure. In MCTD, antibody positivity was strongly correlated with interstitial lung disease (90.9% vs. 36.8%, P = .013). In SLE, antibody-positive patients had significantly lower white blood cell counts and complement levels, higher anti-ds-DNA antibody titer, and higher prevalence of serositis (35.0% vs. 11.3%), gastrointestinal involvement (15.0% vs. 2.4%), nephritis (70.0% vs. 30.4%), and higher median SLE Disease Activity Index scores (19.5 vs. 5.0) compared to antibody-negative patients (all P < .05). Antibody titers decreased after treatment (- 71.5% at 3 months, P = .010) and increased upon relapse.
conclusionsAnti-SMN antibodies are prevalent in MCTD and SLE. Consistent with prior studies, their titers in MCTD were associated with distinct clinical features. Importantly, we newly demonstrate that in SLE, anti-SMN antibody levels correlate with immune complex-related manifestations and disease activity, providing a novel and clinically significant insight. These findings highlight their potential as biomarkers for disease stratification, organ involvement, and monitoring disease progression in RMDs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.