Literature DB >> 28770702

Prevalence of anti-DFS70 antibodies in patients with and without systemic autoimmune rheumatic diseases.

Ora Shovman1, Boris Gilburd2, Chen Chayat2, Howard Amital3, Pnina Langevitz4, Abdulla Watad5, Adi Guy5, Dolores Perez2, Danielle Azoulay2, Miri Blank6, Yael Segal6, Chelsea Bentow7, Michael Mahler7, Yehuda Shoenfeld8.   

Abstract

OBJECTIVES: Autoantibodies to the dense fine speckled 70 (DFS70) antigen are common among antinuclear antibodies (ANA) positive healthy individuals (HI). We assessed the prevalence of anti-DFS70 antibodies in patients with and without ANA-associated rheumatic diseases (AARDs) by two methods: chemiluminescent immunoassay (CIA) and an indirect immunofluorescence (IIF) assay based on immunoadsorption for DFS70.
METHODS: Fifty-one ANA-positive sera samples from patients with confirmed clinical diagnosis of AARD, 92 samples from HI and 85 samples submitted to a reference laboratory for routine ANA testing were evaluated for the presence of anti-DFS70 antibodies. The samples were evaluated by QUANTA Flash DFS70 CIA using BIO-FLASH instrument and by NOVA Lite selected HEp-2 kit on NOVA View - an automated IIF system. Sera with DFS positive pattern were pre-absorbed with highly purified human DFS70 antigen, and then tested again.
RESULTS: Twenty-four samples (10.5%) tested by QUANTA Flash DFS70 CIA were positive for anti-DFS70 antibodies. The prevalence of monospecific anti-DFS70 antibodies was significantly higher in healthy subjects than in patients with AARDs (10.9% vs. 1.9%, p=0.02). The frequency of anti-DFS70 antibodies in samples submitted for routine ANA testing was 15.2%. A very good agreement was found between CIA and the DFS pattern identified by the automated HEp-2 IIF (kappa=0.97). In 80% of the samples obtained from patients without AARDs, immunoadsorption effectively inhibited the anti-DFS70 antibodies.
CONCLUSIONS: The data confirm that mono-specific anti-DFS70 antibodies are a strong discriminator between ANA positive HI and AARD patients, and their evaluation should be included in ANA testing algorithms.

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Year:  2017        PMID: 28770702

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  11 in total

1.  Improved accuracy in DFS pattern interpretation using a novel HEp-2 ELITE system.

Authors:  Maria Infantino; O Shovman; B Gilburd; M Manfredi; V Grossi; Maurizio Benucci; A Damiani; D Chimenti; K Malyavantham; Y Shoenfeld
Journal:  Clin Rheumatol       Date:  2019-01-07       Impact factor: 2.980

Review 2.  Autoantibodies Associated With Connective Tissue Diseases: What Meaning for Clinicians?

Authors:  Kevin Didier; Loïs Bolko; Delphine Giusti; Segolene Toquet; Ailsa Robbins; Frank Antonicelli; Amelie Servettaz
Journal:  Front Immunol       Date:  2018-03-26       Impact factor: 7.561

3.  Recognition and Relevance of Anti-DFS70 Autoantibodies in Routine Antinuclear Autoantibodies Testing at a Community Hospital.

Authors:  John B Carter; Sara Carter; Sandra Saschenbrecker; Bruce E Goeckeritz
Journal:  Front Med (Lausanne)       Date:  2018-04-09

4.  Anti-DFS70 Antibodies Among Patient and Healthy Population Cohorts in China: Results From a Multicenter Training Program Showing Spontaneous Abortion and Pediatric Systemic Autoimmune Rheumatic Diseases Are Common in Anti-DFS70 Positive Patients.

Authors:  Bing Zheng; Zhiqing Wang; Rodrigo A Mora; Aiping Liu; Chihui Li; Dengtao Liu; Fuying Zhai; Huiyuan Liu; Huiyun Gong; Jiaye Zhou; Jing Liu; Li Chen; Lijun Wu; Lin Yuan; Lina Ying; Loujian Jie; Meifang He; Meng Hao; Ping Xu; Qiuwei Lu; Shanshan Han; Shishi Chen; Shuimian Chen; Shunfei Zhu; Weihua Sun; Xiaoying Guo; Yajuan Chen; Yan Wang; Yemin Qu; Zhen Li; Zhenzhen Niu; Zhongyan Han; Edward K L Chan
Journal:  Front Immunol       Date:  2020-10-02       Impact factor: 7.561

5.  Prevalence of anti-dense fine speckled 70 antibodies in healthy individuals and patients with antinuclear antibody-associated autoimmune rheumatic diseases in Japan.

Authors:  Nobuhide Hayashi; Kenichi Uto; Akiko Imanishi; Daisuke Sugiyama; Akio Morinobu; Jun Saegusa
Journal:  Medicine (Baltimore)       Date:  2021-03-05       Impact factor: 1.817

Review 6.  Assessment of antinuclear antibodies (ANA): National recommendations on behalf of the Croatian society of medical biochemistry and laboratory medicine.

Authors:  Andrea Tešija Kuna; Lovorka Đerek; Vedrana Drvar; Ana Kozmar; Katarina Gugo
Journal:  Biochem Med (Zagreb)       Date:  2021-04-15       Impact factor: 2.313

7.  Analysis of the impact of sex and age on the variation in the prevalence of antinuclear autoantibodies in Polish population: a nationwide observational, cross-sectional study.

Authors:  Paweł Krzemień; Sławomir Kasperczyk; Maciej Banach; Aleksandra Kasperczyk; Michał Dobrakowski; Tomasz Tomasik; Adam Windak; Mirosław Mastej; Alberico Catapano; Kausik K Ray; Dimitri P Mikhailidis; Peter P Toth; George Howard; Gregory Y H Lip; Maciej Tomaszewski; Fadi J Charchar; Naveed Sattar; Bryan Williams; Thomas M MacDonald; Peter E Penson; Jacek J Jóźwiak
Journal:  Rheumatol Int       Date:  2021-11-10       Impact factor: 2.631

8.  Low Prevalence of Anti-DFS70 Antibodies in Children With ANA-Associated Autoimmune Disease.

Authors:  Mirjam Freudenhammer; Ulrich Salzer; Aileen Heselich; Markus Hufnagel; Ales Janda
Journal:  Front Pediatr       Date:  2022-03-22       Impact factor: 3.418

Review 9.  Twenty years of research on the DFS70/LEDGF autoantibody-autoantigen system: many lessons learned but still many questions.

Authors:  Greisha L Ortiz-Hernandez; Evelyn S Sanchez-Hernandez; Carlos A Casiano
Journal:  Auto Immun Highlights       Date:  2020-02-03

10.  Serological abnormalities that predict progression to systemic autoimmune rheumatic diseases in antinuclear antibody-positive individuals.

Authors:  Carolina Muñoz-Grajales; Stephenie D Prokopec; Sindhu R Johnson; Zahi Touma; Zareen Ahmad; Dennisse Bonilla; Linda Hiraki; Arthur Bookman; Paul C Boutros; Andrzej Chruscinski; Joan Wither
Journal:  Rheumatology (Oxford)       Date:  2022-03-02       Impact factor: 7.046

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