Literature DB >> 28235788

A systems genetics approach identifies Trp53inp2 as a link between cardiomyocyte glucose utilization and hypertrophic response.

Marcus M Seldin1, Eric D Kim1, Milagros C Romay1, Shen Li1, Christoph D Rau2, Jessica J Wang1, Karthickeyan Chella Krishnan1, Yibin Wang2, Arjun Deb1, Aldons J Lusis3.   

Abstract

Cardiac failure has been widely associated with an increase in glucose utilization. The aim of our study was to identify factors that mechanistically bridge this link between hyperglycemia and heart failure. Here, we screened the Hybrid Mouse Diversity Panel (HMDP) for substrate-specific cardiomyocyte candidates based on heart transcriptional profile and circulating nutrients. Next, we utilized an in vitro model of rat cardiomyocytes to demonstrate that the gene expression changes were in direct response to substrate abundance. After overlaying candidates of interest with a separate HMDP study evaluating isoproterenol-induced heart failure, we chose to focus on the gene Trp53inp2 as a cardiomyocyte glucose utilization-specific factor. Trp53inp2 gene knockdown in rat cardiomyocytes reduced expression and protein abundance of key glycolytic enzymes. This resulted in reduction of both glucose uptake and glycogen content in cardiomyocytes stimulated with isoproterenol. Furthermore, this reduction effectively blunted the capacity of glucose and isoprotereonol to synergistically induce hypertrophic gene expression and cell size expansion. We conclude that Trp53inp2 serves as regulator of cardiomyocyte glycolytic activity and can consequently regulate hypertrophic response in the context of elevated glucose content.NEW & NOTEWORTHY Here, we apply a novel method for screening transcripts based on a substrate-specific expression pattern to identify Trp53inp2 as an induced cardiomyocyte glucose utilization factor. We further show that reducing expression of the gene could effectively blunt hypertrophic response in the context of elevated glucose content.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  Trp53inp2; glucose; hypertrophy; metabolic shift

Mesh:

Substances:

Year:  2017        PMID: 28235788      PMCID: PMC5407157          DOI: 10.1152/ajpheart.00068.2016

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  71 in total

Review 1.  Cardiac energy metabolism homeostasis: role of cytosolic calcium.

Authors:  Robert S Balaban
Journal:  J Mol Cell Cardiol       Date:  2002-10       Impact factor: 5.000

Review 2.  Cardiac metabolism in heart failure: implications beyond ATP production.

Authors:  Torsten Doenst; Tien Dung Nguyen; E Dale Abel
Journal:  Circ Res       Date:  2013-08-30       Impact factor: 17.367

Review 3.  Autophagy and metabolism.

Authors:  Joshua D Rabinowitz; Eileen White
Journal:  Science       Date:  2010-12-03       Impact factor: 47.728

Review 4.  Postprandial blood glucose as a risk factor for cardiovascular disease in Type II diabetes: the epidemiological evidence.

Authors:  E Bonora; M Muggeo
Journal:  Diabetologia       Date:  2001-12       Impact factor: 10.122

5.  Glycemic control and heart failure among adult patients with diabetes.

Authors:  C Iribarren; A J Karter; A S Go; A Ferrara; J Y Liu; S Sidney; J V Selby
Journal:  Circulation       Date:  2001-06-05       Impact factor: 29.690

6.  Diacylglycerol and fatty acids synergistically increase cardiomyocyte contraction via activation of PKC.

Authors:  Y Pi; J W Walker
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-07       Impact factor: 4.733

7.  Malonyl-CoA metabolism in cardiac myocytes.

Authors:  C Hamilton; E D Saggerson
Journal:  Biochem J       Date:  2000-08-15       Impact factor: 3.857

Review 8.  Energy metabolism in heart failure.

Authors:  Renée Ventura-Clapier; Anne Garnier; Vladimir Veksler
Journal:  J Physiol       Date:  2003-12-05       Impact factor: 5.182

9.  High glucose stimulates aldosterone-induced hypertrophy via type I mineralocorticoid receptors in neonatal rat cardiomyocytes.

Authors:  A Sato; J W Funder
Journal:  Endocrinology       Date:  1996-10       Impact factor: 4.736

10.  Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction.

Authors:  Jian Ye; George Coulouris; Irena Zaretskaya; Ioana Cutcutache; Steve Rozen; Thomas L Madden
Journal:  BMC Bioinformatics       Date:  2012-06-18       Impact factor: 3.169

View more
  6 in total

1.  Statistical considerations in reporting cardiovascular research.

Authors:  Merry L Lindsey; Gillian A Gray; Susan K Wood; Douglas Curran-Everett
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-07-20       Impact factor: 4.733

2.  Gene-by-Sex Interactions in Mitochondrial Functions and Cardio-Metabolic Traits.

Authors:  Frode Norheim; Yehudit Hasin-Brumshtein; Laurent Vergnes; Karthickeyan Chella Krishnan; Calvin Pan; Marcus M Seldin; Simon T Hui; Margarete Mehrabian; Zhiqiang Zhou; Sonul Gupta; Brian W Parks; Axel Walch; Karen Reue; Susanna M Hofmann; Arthur P Arnold; Aldons J Lusis
Journal:  Cell Metab       Date:  2019-01-10       Impact factor: 27.287

3.  Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.

Authors:  Karen C Clark; Anne E Kwitek
Journal:  Compr Physiol       Date:  2021-12-29       Impact factor: 8.915

4.  Sex-specific genetic regulation of adipose mitochondria and metabolic syndrome by Ndufv2.

Authors:  Laurent Vergnes; Rebeca Acín-Pérez; Karthickeyan Chella Krishnan; Linsey Stiles; Michael Shum; Lijiang Ma; Etienne Mouisel; Calvin Pan; Timothy M Moore; Miklós Péterfy; Casey E Romanoski; Karen Reue; Johan L M Björkegren; Markku Laakso; Marc Liesa; Aldons J Lusis
Journal:  Nat Metab       Date:  2021-10-25

5.  Guidelines for measuring cardiac physiology in mice.

Authors:  Merry L Lindsey; Zamaneh Kassiri; Jitka A I Virag; Lisandra E de Castro Brás; Marielle Scherrer-Crosbie
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-01-05       Impact factor: 4.733

6.  Guidelines for experimental models of myocardial ischemia and infarction.

Authors:  Merry L Lindsey; Roberto Bolli; John M Canty; Xiao-Jun Du; Nikolaos G Frangogiannis; Stefan Frantz; Robert G Gourdie; Jeffrey W Holmes; Steven P Jones; Robert A Kloner; David J Lefer; Ronglih Liao; Elizabeth Murphy; Peipei Ping; Karin Przyklenk; Fabio A Recchia; Lisa Schwartz Longacre; Crystal M Ripplinger; Jennifer E Van Eyk; Gerd Heusch
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-01-12       Impact factor: 4.733

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.