ArticleCentral-European journal of immunology2016
Confirmation of anti-DFS70 antibodies is needed in routine clinical samples with DFS staining pattern.
Article in Central-European journal of immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Clinical significance of anti-dense fine speckled 70 antibodies in dense fine speckled immunofluorescence positive patients, systemic autoimmune rheumatic diseases, and controls.The Indian journal of medical research · 2026Article
- CytoBead ANA 2 assay - a novel method for the detection of antinuclear antibodies.Scientific reports · 2025Article
- Evaluation of Positive Cases for Dense Fine Speckled (DFS) Immunofluorescence Pattern and Anti-DFS70 Antibodies.Pakistan journal of medical sciences · 2025Article
- Article
- The Prevalence and Clinical Relevance of the DFS Immunofluorescence Staining Pattern in a Large ANA-Positive Cohort.Frontiers in medicine · 2022Article
- Relationship Between Anti-DFS70 Autoantibodies and Oxidative Stress.Biomarker insights · 2022Article
- Twenty years of research on the DFS70/LEDGF autoantibody-autoantigen system: many lessons learned but still many questions.Auto- immunity highlights · 2020Review
- Investigation of anti-DFS70 antibody in patients with systemic autoimmune rheumatic diseases.Clinical rheumatology · 2019Article
- Improved accuracy in DFS pattern interpretation using a novel HEp-2 ELITE system.Clinical rheumatology · 2019Article
- Clinical significance of anti-dense fine speckled 70 antibody in patients with fibromyalgia.The Korean journal of internal medicine · 2019Article
- Simultaneous Distinction of Monospecific and Mixed DFS70 Patterns During ANA Screening with a Novel HEp-2 ELITE/DFS70 Knockout Substrate.Journal of visualized experiments : JoVE · 2018Article
- Recognition and Relevance of Anti-DFS70 Autoantibodies in Routine Antinuclear Autoantibodies Testing at a Community Hospital.Frontiers in medicine · 2018Article
- Detection of autoantibodies to DSF70/LEDGFp75 in Mexican Hispanics using multiple complementary assay platforms.Auto- immunity highlights · 2017Article
- Analysis of DFS70 pattern and impact on ANA screening using a novel HEp-2 ELITE/DFS70 knockout substrate.Auto- immunity highlights · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecognition of nuclear dense fine speckled (DFS) pattern by indirect immunofluorescence (IIF) is not easy. Thus, confirming the presence of these antibodies might be needed. In this study, we aimed to determine the frequency of DFS pattern in our diagnostic laboratory and to investigate the presence of anti-DFS70 antibodies in samples showing DFS pattern by two commercially available research kits retrospectively. MATERIAL AND
methodsSeventy-four sequential serum samples with DFS pattern on HEp2010 cell substrates by IIF were included in this study. The semiquantitative DFS70 ELISA Kit (MBL International Corporation, Woburn, UK) was used for detection of anti-DFS70 antibodies in these samples. Twenty selected samples were tested for the presence of anti-DFS70 antibodies using ANA Line Immunoassay (LIA) (Immco Diagnostics, New York, USA).
resultsSixty-two (83.8%) of 74 serum samples were found positive with ELISA, when 15 U/ml was taken as a reference value. Among 18 samples that were found positive by ELISA, five were negative for anti-DFS70 antibodies by LIA, while 13 were found positive. The lowest ELISA result of the sample that was positive by LIA was found to be 45.3 U/ml. When 45.3 U/ml was considered as a reference value, 45 (60.8%) of 74 serum samples were positive by ELISA. Nineteen of 20 patients had no SARD, while one had systemic lupus erythematosus (SLE).
conclusionsDFS pattern should be confirmed with an objective method such as ELISA, LIA, or IB. We think that confirmation tests for detection of anti-DFS70 antibodies should be included in diagnostic algorithms.
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