Evidence map›Paper›PMID 27382982›Full record

ReviewNeuromolecular medicine2017

Epigenetic Modifications and Therapy in Multiple Sclerosis.

Saeed Aslani, Naser Jafari, Mohammad Reza Javan, Jafar Karami, Majid Ahmadi, Mahmoud Jafarnejad

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuromolecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
4.2field-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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Comparison of OX40 expression in patients with multiple sclerosis and neuromyelitis optica as an approach to diagnosis.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
    Article
  11. Article
  12. Review
  13. A review of possible therapies for multiple sclerosis.Molecular and cellular biochemistry · 2021
    Review
  14. Epigenetic Modifications and Therapy in Uveitis.Frontiers in cell and developmental biology · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

6 authors at 6 institutions in 2 countries.

Saeed AslaniDepartment of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Naser JafariMarkey Cancer Center, University of Kentucky, 741 South Limestone St. Biomedical Biological Research Building (BBSRB), 378D, Lexington, KY, 40506, USA. naser.jafari@uky.edu.
Mohammad Reza JavanDepartment of Immunology, Faculty of Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Jafar KaramiDepartment of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Majid AhmadiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahmoud JafarnejadDepartment of Pharmacology, School of Medicine, Ardabil University of Medical Science, Ardabil, Iran.
Ardabil University of Medical Sciences · IRIran University of Medical Sciences · IRTabriz University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of Kentucky · USZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breakthroughs in genetic studies, like whole human genome sequencing and genome-wide association studies (GWAS), have richened our knowledge of etiopathology of autoimmune diseases (AID) through discovery of genetic patterns. Nonetheless, the precise etiology of autoimmune diseases remains largely unknown. The lack of complete concordance of autoimmune disease in identical twins suggests that non-genetic factors also play a major role in determining disease susceptibility. Although there is no certain definition, epigenetics has been known as heritable alterations in gene function without changes in the nucleotide sequence. DNA methylation, histone modifications, and microRNA-associated gene expression suppression are the central mechanisms for epigenetic regulations. Multiple sclerosis (MS) is a disorder of the central nervous system (CNS), characterized by both inflammatory and neurodegenerative features. Although studies on epigenetic alterations in MS only began in the past decade, a mounting number of surveys suggest that epigenetic changes may be involved in the initiation and development of MS, probably through bridging the effects of environmental risk factors to genetics. Arming with clear understanding of epigenetic dysregulations underpins development of epigenetic therapies. Identifying agents inhibiting the enzymes controlling epigenetic modifications, particularly DNA methyltransferases and histone deacetylases, will be promising therapeutic tool toward MS. In the article underway, it is aimed to go through the recent progresses, attempting to disclose how epigenetics associates with the pathogenesis of MS and how can be used as therapeutic approach.

Indexed as

Epigenesis, GeneticAnimalsDiseases in TwinsDNA MethylationEncephalomyelitis, Autoimmune, ExperimentalEnzyme InhibitorsFemaleGene-Environment InteractionGene Expression RegulationGenetic Predisposition to DiseaseGenetic TherapyGenetic VectorsGenome-Wide Association StudyHistone CodeHistone Deacetylase InhibitorsHumansEnzyme InhibitorsHistone Deacetylase InhibitorsMicroRNAsEnvironmental factorsEpigenetic regulationEpigenetic therapyMultiple sclerosis

Identifiers

PMID27382982
OpenAlexW2466753021

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.