Literature DB >> 25451387

Gene reprogramming in exercise-induced cardiac hypertrophy in swine: A transcriptional genomics approach.

Diederik W D Kuster1, Daphne Merkus2, Lau A Blonden2, Andreas Kremer3, Wilfred F J van IJcken4, Adrie J M Verhoeven5, Dirk J Duncker6.   

Abstract

Cardiac hypertrophy of the left ventricle (LV) in response to dynamic exercise-training (EX) is a beneficial adaptation to increased workload, and is thought to result from genetic reprogramming. We aimed to determine which transcription factors (TFs) are involved in this genetic reprogramming of the LV in swine induced by exercise-training. Swine underwent 3-6 weeks of dynamic EX, resulting in a 16% increase of LV weight/body weight ratio compared to sedentary animals (P=0.03). Hemodynamic analysis showed an increased stroke volume index (stroke volume/body weight +35%; P=0.02). Microarray-analysis of LV tissue identified 339 upregulated and 408 downregulated genes (false discovery rate<0.05). Of the human homologues of the differentially expressed genes, promoter regions were searched for TF consensus binding sites (TFBSs). For upregulated and downregulated genes, 17 and 24 TFBSs were overrepresented by >1.5-fold (P<0.01), respectively. In DNA-binding assays, using LV nuclear protein extracts and protein/DNA array, signal intensity changes >2-fold were observed for 23 TF-specific DNA probes. Matching results in TFBS and protein/DNA array analyses were obtained for transcription factors YY1 (Yin Yang 1), PAX6 (paired box 6) and GR (glucocorticoid receptor). Notably, PAX6 and GR show lower signals in TFBS and protein/DNA array analyses upon exercise-training, whereas we previously showed higher signals for these factors in the remodeled LV of swine post-myocardial infarction (MI). In conclusion, we have identified transcription factors that may drive the genetic reprogramming underlying exercise-training induced LV hypertrophy in swine. PAX6 and GR are among the transcription factors that are oppositely regulated in LV hypertrophy after exercise-training and MI. These proteins may be at the base of the differences between pathological and physiological hypertrophy.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Animal models of human disease; Cardiac hypertrophy; Exercise training; Microarray; Physiological hypertrophy; Transcription factors

Mesh:

Substances:

Year:  2014        PMID: 25451387     DOI: 10.1016/j.yjmcc.2014.10.006

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN: 0022-2828            Impact factor:   5.000


  5 in total

Review 1.  Aerobic exercise training promotes physiological cardiac remodeling involving a set of microRNAs.

Authors:  Tiago Fernandes; Valério G Baraúna; Carlos E Negrão; M Ian Phillips; Edilamar M Oliveira
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-06-12       Impact factor: 4.733

2.  Corticosteroid Receptors in Cardiac Health and Disease.

Authors:  Jessica R Ivy; Gillian A Gray; Megan C Holmes; Martin A Denvir; Karen E Chapman
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

3.  Guiding the failing heart to exercise.

Authors:  S Gielen; D Merkus; D J Duncker
Journal:  Neth Heart J       Date:  2015-01       Impact factor: 2.380

Review 4.  Inter-individual variation in adaptations to endurance and resistance exercise training: genetic approaches towards understanding a complex phenotype.

Authors:  Heather L Vellers; Steven R Kleeberger; J Timothy Lightfoot
Journal:  Mamm Genome       Date:  2018-01-22       Impact factor: 2.957

5.  H3K27ac acetylome signatures reveal the epigenomic reorganization in remodeled non-failing human hearts.

Authors:  Jiayi Pei; Magdalena Harakalova; Thomas A Treibel; R Thomas Lumbers; Bastiaan J Boukens; Igor R Efimov; Jip T van Dinter; Arantxa González; Begoña López; Hamid El Azzouzi; Noortje van den Dungen; Christian G M van Dijk; Merle M Krebber; Hester M den Ruijter; Gerard Pasterkamp; Dirk J Duncker; Edward E S Nieuwenhuis; Roel de Weger; Manon M Huibers; Aryan Vink; Jason H Moore; James C Moon; Marianne C Verhaar; Georgios Kararigas; Michal Mokry; Folkert W Asselbergs; Caroline Cheng
Journal:  Clin Epigenetics       Date:  2020-07-14       Impact factor: 6.551

  5 in total

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