Evidence map›Paper›PMID 33572862›Full record

ReviewInternational journal of molecular sciences2021

Imprinted Genes and Multiple Sclerosis: What Do We Know?

Natalia Baulina, Ivan Kiselev, Olga Favorova

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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.

Natalia BaulinaInstitute of Translational Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia.ORCID 0000-0001-8767-2958
Ivan KiselevInstitute of Translational Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia.ORCID 0000-0003-3366-4113
Olga FavorovaInstitute of Translational Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia.
Pirogov Russian National Research Medical University · RU

Funding

Russian Science Foundation 20-75-00046
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic autoimmune neurodegenerative disease of the central nervous system that arises from interplay between non-genetic and genetic risk factors. The epigenetics functions as a link between these factors, affecting gene expression in response to external influence, and therefore should be extensively studied to improve the knowledge of MS molecular mechanisms. Among others, the epigenetic mechanisms underlie the establishment of parent-of-origin effects that appear as phenotypic differences depending on whether the allele was inherited from the mother or father. The most well described manifestation of parent-of-origin effects is genomic imprinting that causes monoallelic gene expression. It becomes more obvious that disturbances in imprinted genes at the least affecting their expression do occur in MS and may be involved in its pathogenesis. In this review we will focus on the potential role of imprinted genes in MS pathogenesis.

Indexed as

Genetic LociGenomic ImprintingAnimalsCalcium-Binding ProteinsEpigenesis, GeneticHumansIodide PeroxidaseMembrane ProteinsMicroRNAsMultiple SclerosisCalcium-Binding ProteinsDLK1 protein, humanIodide Peroxidaseiodothyronine deiodinase type IIIMembrane ProteinsMicroRNAsDLK1-DIO3 locusgenomic imprintingmiRNAmultiple sclerosisparent-of-origin effect

Identifiers

PMID33572862
PMCPMC7866243
OpenAlexW3126399661

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.