ReviewJournal of translational autoimmunity2025
Autoantibodies in systemic sclerosis: From disease bystanders to pathogenic players.
Review in Journal of translational autoimmunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Recent Advances in Biomarkers of Systemic Sclerosis-Associated Interstitial Lung Disease: Clinical Relevance and Therapeutic Perspectives.Life (Basel, Switzerland) · 2026Review
- Targeting FcRn for immunomodulation: a promising therapy in autoimmune inflammatory rheumatic diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Review
- Bispecific T cell engagers for treatment-refractory autoimmune connective tissue diseases.Nature medicine · 2026Article
- Mechanisms of fibrotic tissue remodelling: insights from systemic sclerosis.Nature reviews. Rheumatology · 2026Review
- Functional Roles of the Complement Immune System in Cardiac Inflammation and Hypertrophy.International journal of molecular sciences · 2025Review
- Sex differences in systemic sclerosis: from pathogenesis to clinical manifestations and treatment.Therapeutic advances in musculoskeletal disease · 2025Review
- Anti-CENP-A/B reactivity in samples exhibiting the centromere HEp-2 pattern is associated with a lower frequency of interstitial lung disease in limited cutaneous systemic sclerosis patients.Journal of circulating biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autoantibodies (Aab) are recognized as key indicators in the diagnosis, classification, and monitoring of systemic autoimmune diseases (AID). Recent studies have expanded knowledge through the discovery of new antigenic targets, advanced methods for measuring Aab levels, and understanding their possible pathogenic roles in AID. This narrative review uses systemic sclerosis (SSc) as an example to highlight the importance of Aab associated with HEp-2 immunofluorescence assay positivity (traditionally referred as antinuclear antibodies [ANA]), exploring recent developments in the field. Firstly, we outline the various types of ANA found in SSc and their links with specific disease features. Newly discovered antibodies shed light on SSc cases where Aab had previously gone unidentified. Secondly, we emphasize the necessity for novel quantitative techniques to track Aab levels over time by gathering data regarding the timing of Aab occurrence relative to SSc symptoms and the relationships between Aab concentrations and disease severity. Finally, we discuss the experimental findings suggesting a potential direct role of Aab in the development of SSc. The advancements surrounding Aab provide insights into new disease mechanisms and may lead to innovative diagnostic and treatment approaches.
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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.