Evidence map›Paper›PMID 26684450›Full record

ArticleDiabetologia2016

LXRα improves myocardial glucose tolerance and reduces cardiac hypertrophy in a mouse model of obesity-induced type 2 diabetes.

Megan V Cannon, Herman H W Silljé, Jürgen W A Sijbesma, Mohsin A F Khan, Knut R Steffensen, Wiek H van Gilst, Rudolf A de Boer

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  3. Exploring the mechanisms connecting the sympathetic nervous system and type 2 diabetes: Focus on renal denervation.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
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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

7 authors at 2 institutions in 2 countries.

Megan V CannonUniversity of Groningen, University Medical Center Groningen, Department of Cardiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
Herman H W SilljéUniversity of Groningen, University Medical Center Groningen, Department of Cardiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
Jürgen W A SijbesmaUniversity of Groningen, University Medical Center Groningen, Department of Nuclear Medicine, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
Mohsin A F KhanUniversity of Groningen, University Medical Center Groningen, Department of Cardiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
Knut R SteffensenDivision of Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Wiek H van GilstUniversity of Groningen, University Medical Center Groningen, Department of Cardiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
Rudolf A de BoerUniversity of Groningen, University Medical Center Groningen, Department of Cardiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands. r.a.de.boer@umcg.nl.
University Medical Center Groningen · NLKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisDiabetic cardiomyopathy is a myocardial disease triggered by impaired insulin signalling, increased fatty acid uptake and diminished glucose utilisation. Liver X receptors (LXRs) are key transcriptional regulators of metabolic homeostasis. However, their effect in the diabetic heart is largely unknown.

methodsWe cloned murine Lxrα (also known as Nr1h3) behind the α-myosin heavy chain (αMhc; also known as Myh6) promoter to create transgenic (Lxrα-Tg) mice and transgene-negative littermates (wild-type [WT]). A mouse model of type 2 diabetes was induced by a high-fat diet (HFD, 60% energy from fat) over 16 weeks and compared with a low-fat diet (10% energy from fat). A mouse model of type 1 diabetes was induced via streptozotocin injection over 12 weeks.

resultsHFD manifested comparable increases in body weight, plasma triacylglycerol and insulin resistance per OGTT in Lxrα-Tg and WT mice. HFD significantly increased left ventricular weight by 21% in WT hearts, but only by 5% in Lxrα-Tg. To elucidate metabolic effects in the heart, microPET (positron emission tomography) imaging revealed that cardiac glucose uptake was increased by 1.4-fold in WT mice on an HFD, but further augmented by 1.7-fold in Lxrα-Tg hearts, in part through 5' adenosine monophosphate-activated protein kinase (AMPK) phosphorylation and restoration of glucose transporter 4 (GLUT4). By contrast, streptozotocin-induced ablation of insulin signalling diminished cardiac glucose uptake levels and caused cardiac dysfunction, indicating that insulin may be important in LXRα-mediated glucose uptake. Chromatin immunoprecipitation assays identified natriuretic peptides, atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP), as potential direct targets of cardiac LXRα overexpression. CONCLUSIONS/

interpretationCardiac-specific LXRα overexpression ameliorates the progression of HFD-induced left ventricular hypertrophy in association with increased glucose reliance and natriuretic peptide signalling during the early phase of diabetic cardiomyopathy. These findings implicate a potential protective role for LXR in targeting metabolic disturbances underlying diabetes.

Indexed as

AnimalsCardiomegalyChromatin ImmunoprecipitationDiabetes Mellitus, Type 2Diet, High-FatDisease Models, AnimalLiver X ReceptorsMiceMice, TransgenicMyocardiumObesityLiver X ReceptorsDiabetic cardiomyopathyLeft ventricular hypertrophyLiver X receptorNatriuretic peptides

Identifiers

PMID26684450
PMCPMC4742491
OpenAlexW2275422262

What OpenQuestion holds

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LicenceCC BY
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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.