Evidence map›Paper›PMID 27853271›Full record

ArticleScientific reports2016

Foetal programming by methyl donor deficiency produces steato-hepatitis in rats exposed to high fat diet.

Anaïs Bison, Aude Marchal-Bressenot, Zhen Li, Ilef Elamouri, Eva Feigerlova, Lu Peng, Remi Houlgatte, Bernard Beck, Gregory Pourié, Jean-Marc Alberto and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 20 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

15 authors at 1 institution in 1 country.

Anaïs BisonInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Aude Marchal-BressenotInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Zhen LiInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Ilef ElamouriInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Eva FeigerlovaInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Lu PengInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Remi HoulgatteInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Bernard BeckInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Gregory PouriéInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Jean-Marc AlbertoInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Remy UmoretInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Guillaume ConroyInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Jean-Pierre BronowickiInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Jean-Louis GuéantInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Rosa-Maria Guéant-RodriguezInserm U954, Nutrition-Genetics-Environmental Risk Exposure (N-GERE), University of Lorraine, BP 184, 54511, Vandœuvre-lès-Nancy, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic steatohepatitis (NASH) is a manifestation of metabolic syndrome, which emerges as a major public health problem. Deficiency in methyl donors (folate and vitamin B12) during gestation and lactation is frequent in humans and produces foetal programming effects of metabolic syndrome, with small birth weight and liver steatosis at day 21 (d21), in rat pups. We investigated the effects of fetal programming on liver of rats born from deficient mothers (iMDD) and subsequently subjected to normal diet after d21 and high fat diet (HF) after d50. We observed increased abdominal fat, ASAT/ALAT ratio and angiotensin blood level, but no histological liver abnormality in d50 iMDD rats. In contrast, d185 iMDD/HF animals had hallmarks of steato-hepatitis, with increased markers of inflammation and fibrosis (caspase1, cleaved IL-1β, α1(I) and α2(I) collagens and α-SMA), insulin resistance (HOMA-IR and Glut 2) and expression of genes involved in stellate cell stimulation and remodelling and key genes triggering NASH pathomechanisms (transforming growth factor beta super family, angiotensin and angiotensin receptor type 1). Our data showed a foetal programming effect of MDD on liver inflammation and fibrosis, which suggests investigating whether MDD during pregnancy is a risk factor of NASH in populations subsequently exposed to HF diet.

Indexed as

FetusNon-alcoholic Fatty Liver DiseasePrenatal Exposure Delayed EffectsAnimalsDietary FatsFemaleFetal DevelopmentMaternal ExposurePregnancyRatsDietary Fats

Identifiers

PMID27853271
PMCPMC5112564
OpenAlexW2551839637

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.