ArticleClinical & translational immunology2024
Siglec-1, an easy and contributory inflammation marker in rheumatology.
Article in Clinical & translational immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Estrogen Stabilizes Interferon-Inducible Genes During Skeletal Muscle Regeneration.Biological research for nursing · 2026Article
- Immunological and pathological roles of Siglecs: a molecular review.Frontiers in immunology · 2026Review
- A fresh look at immunocytometry's role in personalized rheumatology.Rheumatology (Oxford, England) · 2025Article
- Targeting interferon responses in juvenile dermatomyositis: Siglec-1 as an in vitro biomarker for JAK inhibitor efficacy.Rheumatology (Oxford, England) · 2025Article
- From DGCR8 expression analysis to diseased pathways in 22q11.2 deletion syndrome.Frontiers in immunology · 2025Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Inflammatory markers such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) are poorly informative about interferon (IFN)-related disorders. In these conditions, the measure of the interferon score (IS), obtained by measuring the expression of IFN-stimulated genes, has been proposed. Flow cytometry-based assays measuring sialic-acid-binding Ig-like lectin 1 (Siglec-1) expression could be a more practical tool for evaluating IFN-inflammation. The study compared Siglec-1 measures with IS and other inflammatory indexes. We compared Siglec-1 measures with IS and other inflammatory indexes in real-world paediatric rheumatology experience. Methods: We recruited patients with immuno-rheumatological conditions, acute infectious illness and patients undergoing orthopaedic surgery as controls. Siglec-1 expression was measured in all samples, and IS, ESR and CRP were also recorded if available. Results: Overall, 98 subjects were enrolled in the study, with a total of 104 measures of Siglec-1. Compared with IS, Siglec-1 expression showed good accuracy (86.0%), specificity (72.7%) and sensitivity (85.7%). The measure of the percentage of Siglec-1-positive cells performed best at low levels of IFN-inflammation, while the measure of mean fluorescence intensity performed best at higher levels. Conclusion: Siglec-1 measurement by flow cytometry is an easy tool to detect IFN-related inflammation, even in subjects with normal results of common inflammation indexes.
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