Unknown,Transcriptomics,Genomics,Proteomics

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Cardiac fibrosis in the BACHD mouse model of Huntingtonâs Disease

ABSTRACT: Aims: While Huntingtonâs disease is classified as a neurological disorder, HD patients exhibit a high incidence of cardiovascular events leading to heart failure and death. In this study, we sought to better understand the cardiovascular phenotype of HD using the BACHD mouse model. Methods and Results: The age-related decline in cardiovascular function was assessed by echocardiograms, electrocardiograms, histological and microarray analysis. We found that structural and functional differences between WT and BACHD hearts start at 3mo of age and continue throughout life. The aged BACHD mice develop cardiac fibrosis. The BACHD mice exhibited adaptive physiological changes to chronic isoproterenol challenge; however, the treatment exacerbated fibrotic lesions in the heart. Gene expression analysis indicates a strong tilt toward apoptosis in the young mutant tissue as well as changes in genes involved in cellular metabolism and proliferation. With age, the number of genes with altered expression increased with the largest changes occurring in the cardiovascular disease and cellular metabolism clusters. Conclusions: The BACHD model of HD exhibit a number of changes in cardiovascular function that start early in the disease progress and may provide an explanation for the higher CV risk in HD. These changes are consistent with dysfunction in ANS regulation although the hearts did respond adaptively to Î²-adrenergic challenge. Gene expression pattern changes are subtle but suggests biomarkers focusing on apoptosis, metabolism, immune function are worth further exploration. Microarray-based gene expression analysis in tissue from transgenic mice and controls at different ages

ORGANISM(S): Mus musculus

SUBMITTER: Giovanni Coppola

PROVIDER: E-GEOD-76593 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:McAuley2012 - Whole-body Cholesterol Metabolism Lipid metabolism has a key role to play in human longevity and healthy aging. A whole-body mathematical model of cholesterol metabolism that explores the changes in both the rate of intestinal cholesterol absorption and the hepatic rate of clearance of LDL-C from the plasma, has been presented here. The model showed that of these two mechanisms, changes to the rate of LDL-C removal from the plasma with age had the most significant effect on cholesterol metabolism. The original SBML model file was generated using MathSBML 2.5.1. This model is described in the article: A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation. Mc Auley MM, Wilkinson DJ, Jones JJ, Kirkwood TT. BMC Syst Biol. 2012 Oct 10;6(1):130. Abstract: BACKGROUND: Global demographic changes have stimulated marked interest in the process of ageing. There has been, and will continue to be, an unrelenting rise in the number of the oldest old ( >85 years of age). Together with an ageing population there comes an increase in the prevalence of age related disease. Of the diseases of ageing, cardiovascular disease (CVD) has by far the highest prevalence. It is regarded that a finely tuned lipid profile may help to prevent CVD as there is a long established relationship between alterations to lipid metabolism and CVD risk. In fact elevated plasma cholesterol, particularly Low Density Lipoprotein Cholesterol (LDL-C) has consistently stood out as a risk factor for having a cardiovascular event. Moreover it is widely acknowledged that LDL-C may rise with age in both sexes in a wide variety of groups. The aim of this work was to use a whole-body mathematical model to investigate why LDL-C rises with age, and to test the hypothesis that mechanistic changes to cholesterol absorption and LDL-C removal from the plasma are responsible for the rise. The whole-body mechanistic nature of the model differs from previous models of cholesterol metabolism which have either focused on intracellular cholesterol homeostasis or have concentrated on an isolated area of lipoprotein dynamics. The model integrates both current and previously published data relating to molecular biology, physiology, ageing and nutrition in an integrated fashion. RESULTS: The model was used to test the hypothesis that alterations to the rate of cholesterol absorption and changes to the rate of removal of LDL-C from the plasma are integral to understanding why LDL-C rises with age. The model demonstrates that increasing the rate of intestinal cholesterol absorption from 50% to 80% by age 65 years can result in an increase of LDL-C by as much as 34mg/dL in a hypothetical male subject. The model also shows that decreasing the rate of hepatic clearance of LDL-C gradually to 50% by age 65 years can result in an increase of LDL-C by as much as 116mg/dL. CONCLUSIONS: Our model clearly demonstrates that of the two putative mechanisms that have been implicated in the dysregulation of cholesterol metabolism with age, alterations to the removal rate of plasma LDL-C has the most significant impact on cholesterol metabolism and small changes to the number of hepatic LDL receptors can result in a significant rise in LDL-C. This first whole-body systems based model of cholesterol balance could potentially be used as a tool to further improve our understanding of whole-body cholesterol metabolism and its dysregulation with age. Furthermore, given further fine tuning the model may help to investigate potential dietary and lifestyle regimes that have the potential to mitigate the effects aging has on cholesterol metabolism. This model is hosted on BioModels Database and identified by: MODEL1206010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . 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.

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Cardiac fibrosis in the BACHD mouse model of Huntingtonâs Disease

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Cardiac fibrosis in the BACHD mouse model of Huntingtonâs Disease

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OmicsDI is part of the ELIXIR infrastructure

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Cardiac fibrosis in the BACHD mouse model of Huntingtonâs Disease