Evidence map›Paper›PMID 33328862›Full record

ArticleFrontiers in neuroscience2020

Anticonvulsants and Chromatin-Genes Expression: A Systems Biology Investigation.

Thayne Woycinck Kowalski, Julia do Amaral Gomes, Mariléa Furtado Feira, Ágata de Vargas Dupont, Mariana Recamonde-Mendoza, Fernanda Sales Luiz Vianna

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Thayne Woycinck KowalskiPostgraduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Julia do Amaral GomesPostgraduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Mariléa Furtado FeiraPostgraduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Ágata de Vargas DupontLaboratory of Immunobiology and Immunogenetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Mariana Recamonde-MendozaBioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Fernanda Sales Luiz ViannaPostgraduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BRNational Institute of Science and Technology for Software Engineering · BRNational Institute on Population Medical Genetics · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryofetal development is a critical process that needs a strict epigenetic control, however, perturbations in this balance might lead to the occurrence of congenital anomalies. It is known that anticonvulsants potentially affect epigenetics-related genes, however, it is not comprehended whether this unbalance could explain the anticonvulsants-induced fetal syndromes. In the present study, we aimed to evaluate the expression of epigenetics-related genes in valproic acid, carbamazepine, or phenytoin exposure. We selected these three anticonvulsants exposure assays, which used murine or human embryonic stem-cells and were publicly available in genomic databases. We performed a differential gene expression (DGE) and weighted gene co-expression network analysis (WGCNA), focusing on epigenetics-related genes. Few epigenetics genes were differentially expressed in the anticonvulsants' exposure, however, the WGCNA strategy demonstrated a high enrichment of chromatin remodeling genes for the three drugs. We also identified an association of 46 genes related to Fetal Valproate Syndrome, containing

Indexed as

antiepilepticsepigeneticsfetal hydantoin syndromefetal valproate syndromephenytointeratogenvalproic acidWGCNA

Identifiers

PMID33328862
PMCPMC7732676
OpenAlexW3106902240

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.