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Pregestational Diabetes Alters Cardiac changes

ABSTRACT: Objective: To evaluate the altered expression of genes due to hyperglycaemia during foetal development in heart. Methods: To understand the molecular defects in the two-days old neonatal rats, diabetic female rats were bred with healthy male rats and collected two days old hearts from neonates. Heart mRNA profiles of two-day-old neonatal rats were generated by RNA sequencing, in quadruplicate, using Illumina HiSeq. Results: Using an optimized data analysis workflow, we mapped about 27 million sequence reads per sample to the rat genome (build Rnor_6.0) and identified 25456 transcripts in the heart of the neonatal rats. Approximately 4% of the transcripts showed differential expression between the Control and PGDM (pregestational diabetes mellitus) heart, with a fold change ≥2 and p value <0.05. Conclusions: Transcriptomic profiling of the RNA-seq data revealed that several of the altered genes were associated with cardiac pathogenesis in neonatal heart during PGDM.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE196242 | GEO | 2022/07/01

REPOSITORIES: GEO

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Project description:This a model from the article: Mathematical model of the neonatal mouse ventricular action potential. Wang LJ, Sobie EA. Am J Physiol Heart Circ Physiol. (2008) 294(6) pp H2565-75; 18408122 , Abstract: Therapies for heart disease are based largely on our understanding of the adult myocardium. The dramatic differences in action potential (AP) shape between neonatal and adult cardiac myocytes, however, indicate that a different set of molecular interactions in neonatal myocytes necessitates different treatment for newborns. Computational modeling is useful for synthesizing data to determine how interactions between components lead to systems-level behavior, but this technique has not been used extensively to study neonatal heart cell function. We created a mathematical model of the neonatal (day 1) mouse myocyte by modifying, on the basis of experimental data, the densities and/or formulations of ion transport mechanisms in an adult cell model. The new model reproduces the characteristic AP shape of neonatal cells, with a brief plateau phase and longer duration than the adult (action potential duration at 80% repolarization = 60.1 vs. 12.6 ms). The simulation results are consistent with experimental data, including 1) decreased density and altered inactivation of transient outward K+ currents, 2) increased delayed rectifier K+ currents, 3) Ca2+ entry through T-type as well as L-type Ca2+ channels, 4) increased Ca2+ influx through Na+/Ca2+ exchange, and 5) Ca2+ transients resulting from transmembrane Ca2+ entry rather than release from the sarcoplasmic reticulum (SR). Simulations performed with the model generated novel predictions, including increased SR Ca2+ leak and elevated intracellular Na+ concentration in neonatal compared with adult myocytes. This new model can therefore be used for testing hypotheses and obtaining a better quantitative understanding of differences between neonatal and adult physiology. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Wang_Sobie 2008, version01 The original CellML model was created by: Lloyd, Catherine, May c.lloyd(at)auckland.ac.nz The University of Auckland Auckland Bioengineering Institute This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

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Pregestational Diabetes Alters Cardiac changes

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