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      Variable outcomes of human heart attack recapitulated in genetically diverse mice

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          Abstract

          Clinical variation in patient responses to myocardial infarction (MI) has been difficult to model in laboratory animals. To assess the genetic basis of variation in outcomes after heart attack, we characterized responses to acute MI in the Collaborative Cross (CC), a multi-parental panel of genetically diverse mouse strains. Striking differences in post-MI functional, morphological, and myocardial scar features were detected across 32 CC founder and recombinant inbred strains. Transcriptomic analyses revealed a plausible link between increased intrinsic cardiac oxidative phosphorylation levels and MI-induced heart failure. The emergence of significant quantitative trait loci for several post-MI traits indicates that utilizing CC strains is a valid approach for gene network discovery in cardiovascular disease, enabling more accurate clinical risk assessment and prediction.

          Cardiology: Genetically diverse mice show human-like responses to heart attack

          Mice from a genetically diverse panel of inbred strains show a variety of biological outcomes after a heart attack (myocardial infarction), just as humans do. This ‘Collaborative Cross’ mouse resource—which is already widely used in other disciplines of biomedical research—thus provides a tractable system for investigating the genetic factors contributing to acute and chronic presentations of heart disease. Ekaterina Salimova from Monash University in Clayton, Australia, and colleagues experimentally induced myocardial infarctions in the 32 founder or recombinant strains from the Collaborative Cross. They documented large differences in survival, cardiac dilation and scar size among different strains. Gene expression profiling and quantitative trait locus mapping revealed a large number of candidate genes and molecular pathways linked to adverse outcomes. These could offer promising drug targets for treating the damage wrought by heart attacks.

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          Most cited references47

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          DAVID: Database for Annotation, Visualization, and Integrated Discovery.

          Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. The distributed nature of biological knowledge frequently requires researchers to navigate through numerous web-accessible databases gathering information one gene at a time. A more judicious approach is to provide query-based access to an integrated database that disseminates biologically rich information across large datasets and displays graphic summaries of functional information. Database for Annotation, Visualization, and Integrated Discovery (DAVID; http://www.david.niaid.nih.gov) addresses this need via four web-based analysis modules: 1) Annotation Tool - rapidly appends descriptive data from several public databases to lists of genes; 2) GoCharts - assigns genes to Gene Ontology functional categories based on user selected classifications and term specificity level; 3) KeggCharts - assigns genes to KEGG metabolic processes and enables users to view genes in the context of biochemical pathway maps; and 4) DomainCharts - groups genes according to PFAM conserved protein domains. Analysis results and graphical displays remain dynamically linked to primary data and external data repositories, thereby furnishing in-depth as well as broad-based data coverage. The functionality provided by DAVID accelerates the analysis of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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            A Dynamic Protein Interaction Landscape of the Human Centrosome-Cilium Interface.

            The centrosome is the primary microtubule organizing center of the cells and templates the formation of cilia, thereby operating at a nexus of critical cellular functions. Here, we use proximity-dependent biotinylation (BioID) to map the centrosome-cilium interface; with 58 bait proteins we generate a protein topology network comprising >7,000 interactions. Analysis of interaction profiles coupled with high resolution phenotypic profiling implicates a number of protein modules in centriole duplication, ciliogenesis, and centriolar satellite biogenesis and highlights extensive interplay between these processes. By monitoring dynamic changes in the centrosome-cilium protein interaction landscape during ciliogenesis, we also identify satellite proteins that support cilia formation. Systematic profiling of proximity interactions combined with functional analysis thus provides a rich resource for better understanding human centrosome and cilia biology. Similar strategies may be applied to other complex biological structures or pathways.
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              Left ventricular remodeling in heart failure: current concepts in clinical significance and assessment.

              Ventricular remodeling, first described in animal models of left ventricular (LV) stress and injury, occurs progressively in untreated patients after large myocardial infarction and in those with dilated forms of cardiomyopathy. The gross pathologic changes of increased LV volume and perturbation in the normal elliptical LV chamber configuration is driven, on a histologic level, by myocyte hypertrophy and apoptosis and by increased interstitial collagen. Each of the techniques used for tracking this process-echocardiography, radionuclide ventriculography, and cardiac magnetic resonance-carries advantages and disadvantages. Numerous investigations have demonstrated the value of LV volume measurement at a single time-point and over time in predicting clinical outcomes in patients with heart failure and in those after myocardial infarction. The structural pattern of LV remodeling and evidence of scarring on cardiac magnetic resonance have additional prognostic value. Beyond the impact of abnormal cardiac structure on cardiovascular events, the relationship between LV remodeling and clinical outcomes is likely linked through common local and systemic factors driving vascular as well as myocardial pathology. As demonstrated by a recent meta-analysis of heart failure trials, LV volume stands out among surrogate markers as strongly correlating with the impact of a particular drug or device therapy on patient survival. These findings substantiate the importance of ventricular remodeling as central in the pathophysiology of advancing heart failure and support the role of measures of LV remodeling in the clinical investigation of novel heart failure treatments. 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                ekaterina.salimova@monash.edu
                nadia.rosenthal@jax.org
                Journal
                NPJ Regen Med
                NPJ Regen Med
                NPJ Regenerative Medicine
                Nature Publishing Group UK (London )
                2057-3995
                4 March 2019
                4 March 2019
                2019
                : 4
                : 5
                Affiliations
                [1 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Australian Regenerative Medicine Institute, , Monash University, ; Clayton, VIC Australia
                [2 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Monash Biomedical Imaging, , Monash University, ; Clayton, VIC Australia
                [3 ]ISNI 0000 0004 1936 7910, GRID grid.1012.2, Faculty of Health and Medical Sciences, School of Biomedical Sciences, , The University of Western Australia, ; Perth, WA Australia
                [4 ]ISNI 0000 0004 1936 7910, GRID grid.1012.2, QEII Medical Centre, Nedlands and Centre for Medical Research, , Harry Perkins Institute of Medical Research, The University of Western Australia, ; Perth, WA Australia
                [5 ]ISNI 0000 0004 0453 2856, GRID grid.413880.6, Office of Population Health Genomics, Division of Public and Aboriginal Health, , Western Australian Department of Health, ; East Perth, WA Australia
                [6 ]ISNI 0000 0000 9136 933X, GRID grid.27755.32, Departments of Biomedical Engineering and Medicine, and Robert M. Berne Cardiovascular Research Center, , University of Virginia, ; Charlottesville, VA USA
                [7 ]ISNI 0000 0004 0374 0039, GRID grid.249880.f, The Jackson Laboratory, ; Bar Harbor, ME USA
                [8 ]ISNI 0000 0004 0389 4302, GRID grid.1038.a, School of Medical and Health Science, , Edith Cowan University, ; Joondalup, Australia
                [9 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, National Heart and Lung Institute, , Imperial College London, ; London, UK
                Author information
                http://orcid.org/0000-0002-4362-7108
                http://orcid.org/0000-0003-0311-1948
                Article
                67
                10.1038/s41536-019-0067-6
                6399323
                30622740
                0870721b-a273-4118-83bb-81337afb6782
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 June 2018
                : 10 January 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000923, Department of Education and Training | Australian Research Council (ARC);
                Award ID: FT100100734
                Award ID: SR1100102
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100007393, Association Française contre les Myopathies (French Association against Muscular Dystrophies);
                Award ID: 17822
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: R01HL116449
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
                Award ID: 1049980
                Award ID: 1069173
                Award ID: 1037321
                Award ID: 546133
                Award Recipient :
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                © The Author(s) 2019

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