Evidence map›Paper›PMID 26235378›Full record

ArticleClinical immunology (Orlando, Fla.)2015

Specificity of antinuclear autoantibodies recognizing the dense fine speckled nuclear pattern: Preferential targeting of DFS70/LEDGFp75 over its interacting partner MeCP2.

Anamika Basu, Leanne Woods-Burnham, Greisha Ortiz, Leslimar Rios-Colon, Johnny Figueroa, Roger Albesa, Luis E Andrade, Michael Mahler, Carlos A Casiano

Open access · hybridAbstract read
In one paragraph

Article in Clinical immunology (Orlando, Fla.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. LEDGF/p75 Is Required for an Efficient DNA Damage Response.International journal of molecular sciences · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Anamika BasuCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Leanne Woods-BurnhamCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Greisha OrtizCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Leslimar Rios-ColonCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Johnny FigueroaCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Roger AlbesaDepartment of Research, Inova Diagnostics, Inc., San Diego, CA, USA.
Luis E AndradeRheumatology Division, Universidade Federal de Sao Paulo, Immunology Division, Fleury Medicine and Health Laboratories, Sao Paulo, Brazil.
Michael MahlerDepartment of Research, Inova Diagnostics, Inc., San Diego, CA, USA.
Carlos A CasianoCenter for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA; Department of Medicine, Division of Rheumatology, Loma Linda University School of Medicine, Loma Linda, CA, USA. Electronic address: ccasiano@llu.edu.
Loma Linda University · USNova Medical (United States) · USUniversidade Federal de São Paulo · BR

Funding

NIH-LLU Initiative for Maximizing Student DiversityR25GM060507 · NIGMS · LOMA LINDA UNIVERSITY · PI DE LEON, MARINO · 2001 to 2022
$11.3M
Research Training/Education CoreP20MD006988 · NIMHD · LOMA LINDA UNIVERSITY · PI CASIANO, CARLOS A. · 2012 to 2016
$6.2M
NIGMS NIH HHS R25 GM060507NIGMS NIH HHS R25GM060507NIMHD NIH HHS P20 MD006988NIMHD NIH HHS P20MD006988
6 · The paper itself

Abstract

Human antinuclear autoantibodies (ANAs) targeting the dense fine speckled (DFS) nuclear protein DFS70, commonly known as lens epithelium derived growth factor p75 (LEDGFp75), present a clinical puzzle since their significance remains elusive. While their frequencies are low in ANA-positive autoimmune rheumatic diseases, they are relatively elevated in clinical laboratory referrals, diverse inflammatory conditions, and 'apparently' healthy individuals. We reported previously that DFS70/LEDGFp75 is an autoantigen in prostate cancer that closely interacts with another 70kD DFS nuclear protein, methyl CpG binding protein 2 (MeCP2). This led us to investigate if anti-DFS sera exclusively target DFS70/LEDGFp75 or also recognize MeCP2. Using several complementary autoantibody detection platforms and cellular/molecular approaches we evaluated 65 human sera producing anti-DFS autoantibodies. Our results show that these antibodies are highly specific for DFS70/LEDGFp75 and do not target MeCP2. Establishing the specificity of anti-DFS autoantibodies has implications for increasing our understanding of their biological significance and clinical utility.

Indexed as

Adaptor Proteins, Signal TransducingAntibodies, AntinuclearAntibody SpecificityCell Line, TumorHumansImmunoblottingMethyl-CpG-Binding Protein 2Microscopy, ConfocalProtein BindingRNA InterferenceTranscription FactorsAdaptor Proteins, Signal TransducingAntibodies, AntinuclearMethyl-CpG-Binding Protein 2PSIP1 protein, humanTranscription FactorsAutoantibodiesAutoimmunityDense fine specklesDFS70LEDGFp75MeCP2

Identifiers

PMID26235378
PMCPMC4712632
OpenAlexW979024514

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.