Evidence map›Paper›PMID 33083882›Full record

ArticleDoklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections2020

Gender-Dependent Effect of Maternal Methyl-Enriched Diet on the Expression of Genetic Absence Epilepsy and Comorbid Depression in Adult Offspring of WAG/Rij Rats.

K Yu Sarkisova, A V Gabova, E A Fedosova, A B Shatskova

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Article in Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections, 2020. 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
1.4field-weighted citation impact, top 18% 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, 8 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

K Yu SarkisovaInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 117485, Moscow, Russia. karine.online@yandex.ru.
A V GabovaInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 117485, Moscow, Russia.
E A FedosovaInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 117485, Moscow, Russia.
A B ShatskovaInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 117485, Moscow, Russia.
Institute of Higher Nervous Activity and Neurophysiology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study it has been shown for the first time that maternal methyl-enriched diet (choline, betaine, folic acid, vitamin B12, L-methionine, zinc) during perinatal period reduces the expression of genetic absence epilepsy and comorbid depression in adult offspring of WAG/Rij rats. This beneficial effect was more pronounced in males compared with females. It is assumed that epigenetic modifications induced by maternal methyl-enriched diet in the offspring at the early stages of ontogenesis might be a possible mechanism underlying the correction of genetically-based pathologic phenotype in WAG/Rij rats. Results suggest that methyl-enriched diet during perinatal period can be potentially used for mitigation or prevention epileptogenesis and depression-like comorbid disorders in people genetically predisposed to absence epilepsy.

Indexed as

Sex CharacteristicsAnimalsDepressionDisease Models, AnimalEpigenesis, GeneticEpilepsy, AbsenceFemaleHumansMaleMaternal Nutritional Physiological PhenomenaPregnancyRatsabsence epilepsycomorbid depressioneffect on offspringfemalesgenetic modelmalesmaternal methyl-enriched diet

Identifiers

PMID33083882
OpenAlexW3094403082

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.