Evidence map›Paper›PMID 32477000›Full record

ReviewCurrent genomics2019

Epigenetic Programming of Adipose Tissue in the Progeny of Obese Dams.

Simon Lecoutre, Kelvin H M Kwok, Paul Petrus, Mélanie Lambert, Christophe Breton

Open access · bronzeAbstract readReview
In one paragraph

Review in Current genomics, 2019. 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
1.1field-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

11 citing papers in PubMed, 11 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

5 authors at 2 institutions in 2 countries.

Simon LecoutreUniversity of Lille, EA4489, Equipe Malnutrition Maternelle et Programmation des Maladies Métaboliques, F-59000 Lille, France.
Kelvin H M KwokDepartment of Biosciences and Nutrition, Karolinska Insitutet, 141 86 Stockholm, Sweden.
Paul PetrusDepartment of Medicine (H7), Karolinska Institutet, 141 86 Stockholm, Sweden.
Mélanie LambertDepartment of Medicine (H7), Karolinska Institutet, 141 86 Stockholm, Sweden.
Christophe BretonUniversity of Lille, EA4489, Equipe Malnutrition Maternelle et Programmation des Maladies Métaboliques, F-59000 Lille, France.
Karolinska Institutet · SEUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the Developmental Origin of Health and Disease (DOHaD) concept, maternal obesity and the resulting accelerated growth in neonates predispose offspring to obesity and associated metabolic diseases that may persist across generations. In this context, the adipose tissue has emerged as an important player due to its involvement in metabolic health, and its high potential for plasticity and adaptation to environmental cues. Recent years have seen a growing interest in how maternal obesity induces long-lasting adipose tissue remodeling in offspring and how these modifications could be transmitted to subsequent generations in an inter- or transgenerational manner. In particular, epigenetic mechanisms are thought to be key players in the developmental programming of adipose tissue, which may partially mediate parts of the transgenerational inheritance of obesity. This review presents data supporting the role of maternal obesity in the developmental programming of adipose tissue through epigenetic mechanisms. Inter- and transgenerational effects on adipose tissue expansion are also discussed in this review.

Indexed as

developmental origin of health and diseaseepigenomefat expansiongene expressionmaternal obesityPerinatal period

Identifiers

PMID32477000
PMCPMC7235387
OpenAlexW2985436538

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.