Evidence map›Paper›PMID 31752186›Full record

ReviewInternational journal of molecular sciences2019

An Update on Antibodies to Necleosome Components as Biomarkers of Sistemic Lupus Erythematosus and of Lupus Flares.

Gian Marco Ghiggeri, Matteo D'Alessandro, Domenico Bartolomeo, Maria Ludovica Degl'Innocenti, Alberto Magnasco, Francesca Lugani, Marco Prunotto, Maurizio Bruschi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Mono a Mano: ZBP1's Love-Hate Relationship with the Kissing Virus.International journal of molecular sciences · 2022
    Review
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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

8 authors at 2 institutions in 2 countries.

Gian Marco GhiggeriDivision of Nephrology, Dialysis and Transplantation, Istituto G. Gaslini, Largo G. Gaslini 5, 16147 Genoa, Italy.
Matteo D'AlessandroDivision of Nephrology, Dialysis and Transplantation, Istituto G. Gaslini, Largo G. Gaslini 5, 16147 Genoa, Italy.
Domenico BartolomeoDivision of Nephrology, Dialysis and Transplantation, Istituto G. Gaslini, Largo G. Gaslini 5, 16147 Genoa, Italy.
Maria Ludovica Degl'InnocentiDivision of Nephrology, Dialysis and Transplantation, Istituto G. Gaslini, Largo G. Gaslini 5, 16147 Genoa, Italy.
Alberto MagnascoDivision of Nephrology, Dialysis and Transplantation, Istituto G. Gaslini, Largo G. Gaslini 5, 16147 Genoa, Italy.
Francesca LuganiLaboratory of Molecular Nephrology, Scientific Institute for Research and Health Care, IRCCS IstitutoGianninaGaslini, 16147 Genoa, Italy.
Marco PrunottoSchool of Pharmaceutical Sciences, University of Geneva, 1211 Geneva, Switzerland.ORCID 0000-0002-0203-0129
Maurizio BruschiLaboratory of Molecular Nephrology, Scientific Institute for Research and Health Care, IRCCS IstitutoGianninaGaslini, 16147 Genoa, Italy.
Istituto Giannina Gaslini · ITUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disease with variable clinical expression. It is a potentially devastating condition affecting mostly women and leading to clinically unpredictable outcomes. Remission and flares may, in fact, alternate over time and a mild involvement limited to few articular sites may be followed by severe and widespread organ damage. SLE is the prototype of any autoimmune condition and has, for this reason, attracted the interest of basic immunologists. Therapies have evolved over time and clinical prognosis has, in parallel, been improved. What clinicians still lack is the possibility to use biomarkers of the disease as predictors of outcome and, in this area, several studies are trying to find solutions. Circulating autoantibodies are clearly a milestone of clinical research and the concrete possibility is to integrate, in the future, classical markers of activation (like C3) with target organ autoantibodies. Anti-dsDNA antibodies represent a basic point in any predictive attempt in SLE and should be considered the benchmark for any innovative proposal in the wide field of target organ pathologies related to SLE. DNA is part of the nucleosome that is the basic unit of chromatin. It consists of DNA wrapped around a histone octamer made of 2 copies each of Histone 2A, 2B, 3, and 4. The nucleosome has a plastic organization that varies over time and has the potential to stimulate the formation of antibodies directed to the whole structure (anti-nucleosome) or its parts (anti-dsDNA and anti-Histones). Here, we present an updated review of the literature on antibodies directed to the nucleosome and the nucleosome constituents, i.e., DNA and Histones. Wetriedto merge the data first published more than twenty years ago with more recent results to create a balanced bridge between old dogma and more recent research that could serve as a stimulus to reconsider mechanisms for SLE. The formation of large networks would provide the chance of studying large cohorts of patients and confirm what already presented in small sample size during the last years.

Indexed as

Antibodies, AntinuclearBiomarkersDNAFemaleHistonesHumansLupus Erythematosus, SystemicMaleNucleosomesSymptom Flare UpAntibodies, AntinuclearBiomarkersDNAHistonesNucleosomesant-dsDNA antibodiesanti-nucleosomeanti-Histone antibodiesbiomarkerssystemic lupus erythematosus

Identifiers

PMID31752186
PMCPMC6888059
OpenAlexW2988839841

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.