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Transcriptomic alterations in the heart of non-obese type 2 diabetic Goto-Kakizaki rats

Overview of attention for article published in Cardiovascular Diabetology, August 2016
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Title
Transcriptomic alterations in the heart of non-obese type 2 diabetic Goto-Kakizaki rats
Published in
Cardiovascular Diabetology, August 2016
DOI 10.1186/s12933-016-0424-3
Pubmed ID
Authors

Márta Sárközy, Gergő Szűcs, Veronika Fekete, Márton Pipicz, Katalin Éder, Renáta Gáspár, Andrea Sója, Judit Pipis, Péter Ferdinandy, Csaba Csonka, Tamás Csont

Abstract

There is a spectacular rise in the global prevalence of type 2 diabetes mellitus (T2DM) due to the worldwide obesity epidemic. However, a significant proportion of T2DM patients are non-obese and they also have an increased risk of cardiovascular diseases. As the Goto-Kakizaki (GK) rat is a well-known model of non-obese T2DM, the goal of this study was to investigate the effect of non-obese T2DM on cardiac alterations of the transcriptome in GK rats. Fasting blood glucose, serum insulin and cholesterol levels were measured at 7, 11, and 15 weeks of age in male GK and control rats. Oral glucose tolerance test and pancreatic insulin level measurements were performed at 11 weeks of age. At week 15, total RNA was isolated from the myocardium and assayed by rat oligonucleotide microarray for 41,012 genes, and then expression of selected genes was confirmed by qRT-PCR. Gene ontology and protein-protein network analyses were performed to demonstrate potentially characteristic gene alterations and key genes in non-obese T2DM. Fasting blood glucose, serum insulin and cholesterol levels were significantly increased, glucose tolerance and insulin sensitivity were significantly impaired in GK rats as compared to controls. In hearts of GK rats, 204 genes showed significant up-regulation and 303 genes showed down-regulation as compared to controls according to microarray analysis. Genes with significantly altered expression in the heart due to non-obese T2DM includes functional clusters of metabolism (e.g. Cyp2e1, Akr1b10), signal transduction (e.g. Dpp4, Stat3), receptors and ion channels (e.g. Sln, Chrng), membrane and structural proteins (e.g. Tnni1, Mylk2, Col8a1, Adam33), cell growth and differentiation (e.g. Gpc3, Jund), immune response (e.g. C3, C4a), and others (e.g. Lrp8, Msln, Klkc1, Epn3). Gene ontology analysis revealed several significantly enriched functional inter-relationships between genes influenced by non-obese T2DM. Protein-protein interaction analysis demonstrated that Stat is a potential key gene influenced by non-obese T2DM. Non-obese T2DM alters cardiac gene expression profile. The altered genes may be involved in the development of cardiac pathologies and could be potential therapeutic targets in non-obese T2DM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 8 19%
Student > Bachelor 6 14%
Student > Master 6 14%
Student > Doctoral Student 2 5%
Other 7 17%
Unknown 5 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Medicine and Dentistry 8 19%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 2 5%
Social Sciences 2 5%
Other 11 26%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2016.
All research outputs
#20,337,210
of 22,882,389 outputs
Outputs from Cardiovascular Diabetology
#1,220
of 1,386 outputs
Outputs of similar age
#321,923
of 366,897 outputs
Outputs of similar age from Cardiovascular Diabetology
#28
of 32 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.