Evidence map›Paper›PMID 20512524›Full record

ArticleMolecular and cellular biochemistry2010

Differential response of two models of genetically modified mice fed with high fat and cholesterol diets: relationship to the study of non-alcoholic steatohepatitis.

Fernando Rodríguez-Sanabria, Anna Rull, Gerard Aragonès, Raúl Beltrán-Debón, Carlos Alonso-Villaverde, Jordi Camps, Jorge Joven

Abstract read
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In one paragraph

Article in Molecular and cellular biochemistry, 2010. 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
0.9field-weighted citation impact, top 24% 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, 13 citations in OpenAlex.

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  8. Hepatic overexpression of SIRT1 in mice attenuates endoplasmic reticulum stress and insulin resistance in the liver.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2011
    Article
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

7 authors at 2 institutions in 1 country.

Fernando Rodríguez-SanabriaCentre de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Reus, Spain.
Anna Rull
Gerard Aragonès
Raúl Beltrán-Debón
Carlos Alonso-Villaverde
Jordi Camps
Jorge Joven
Universidad Rovira i Virgili · ESInstitut d'Investigació Sanitària Pere Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the molecular basis of the hepatic alterations associated to obesity is dependent on the availability of suitable animal models. Apolipoprotein E deficient mice (ApoE(-/-)) and LDL-receptor deficient mice (LDLr(-/-)) develop steatosis and steatohepatitis when given pro-atherogenic diets. However, previous data suggest that these two models are not completely interchangeable, and that their metabolic phenotype may partially differ in response to nutrient stimuli. The present study further investigates this question, by comparing changes in hepatic inflammation, lipoprotein metabolism, and their related gene expressions. LDLr(-/-) mice were more susceptible to the development of obesity and hepatic steatosis, while the ApoE(-/-) model increased the amount of macrophages and inflammatory nodules in the liver. These changes were accompanied by a differential expression of selected members of the MAPK family and PPARs in the liver.

Indexed as

Animals, Genetically ModifiedAnimalsApolipoproteins ECholesterol, DietaryDietary FatsFatty LiverMaleMiceMice, Inbred C57BLModels, AnimalReceptors, LDLApolipoproteins ECholesterol, DietaryDietary FatsReceptors, LDL

Identifiers

PMID20512524
OpenAlexW1969995816

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.