Evidence map›Paper›PMID 32697935›Full record

ReviewEuropean journal of rheumatology2020

Epigenetics and systemic sclerosis: An answer to disease onset and evolution?

Ahmad Ramahi, Nezam Altorok, Bashar Kahaleh

Open access · diamondAbstract readReview
In one paragraph

Review in European journal of rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Epigenetic Modifications in the Pathogenesis of Systemic Sclerosis.International journal of general medicine · 2022
    Review
  10. Review
  11. Article
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

3 authors at 1 institution in 1 country.

Ahmad RamahiDivision of Rheumatology and Immunology, Department of Internal Medicine, University of Toledo Medical Center, Toledo, OH, USA.ORCID https://orcid.org/0000-0003-4746-0744
Nezam AltorokDivision of Rheumatology and Immunology, Department of Internal Medicine, University of Toledo Medical Center, Toledo, OH, USA.ORCID https://orcid.org/0000-0003-4188-8926
Bashar KahalehDivision of Rheumatology and Immunology, Department of Internal Medicine, University of Toledo Medical Center, Toledo, OH, USA.ORCID https://orcid.org/0000-0003-4666-0250
University of Toledo Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing evidence that implicates epigenetic modification in the pathogenesis of systemic sclerosis (SSc). The complexity of epigenetic regulation and its dynamic nature complicate the investigation of its role in the disease. We will review the current literature for factors that link epigenetics to SSc by discussing DNA methylation, histone acetylation and methylation, and non-coding RNAs (ncRNAs), particularly microRNA changes in endothelial cells, fibroblasts (FBs), and lymphocytes. These three cell types are significantly involved in the early stages and throughout the course of the disease and are particularly vulnerable to epigenetic regulation. The pathogenesis of SSc is likely related to modifications of the epigenome by environmental signals in individuals with a specific genetic makeup. The epigenome is an attractive therapeutic target; however, successful epigenetics-based treatments require a better understanding of the molecular mechanisms controlling the epigenome and its alteration in the disease.

Identifiers

PMID32697935
PMCPMC7647676
OpenAlexW3044896022

What OpenQuestion holds

Textmetadata
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.