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      Cathepsin A inhibition attenuates myocardial infarction-induced heart failure on the functional and proteomic levels

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          Abstract

          Background

          Myocardial infarction (MI) is a major cause of heart failure. The carboxypeptidase cathepsin A is a novel target in the treatment of cardiac failure. We aim to show that recently developed inhibitors of the protease cathepsin A attenuate post-MI heart failure.

          Methods

          Mice were subjected to permanent left anterior descending artery (LAD) ligation or sham operation. 24 h post–surgery, LAD-ligated animals were treated with daily doses of the cathepsin A inhibitor SAR1 or placebo. After 4 weeks, the three groups (sham, MI-placebo, MI-SAR1) were evaluated.

          Results

          Compared to sham-operated animals, placebo-treated mice showed significantly impaired cardiac function and increased plasma BNP levels. Cathepsin A inhibition prevented the increase of plasma BNP levels and displayed a trend towards improved cardiac functionality. Proteomic profiling was performed for the three groups (sham, MI-placebo, MI-SAR1). More than 100 proteins were significantly altered in placebo-treated LAD ligation compared to the sham operation, including known markers of cardiac failure as well as extracellular/matricellular proteins. This ensemble constitutes a proteome fingerprint of myocardial infarction induced by LAD ligation in mice. Cathepsin A inhibitor treatment normalized the marked increase of the muscle stress marker CA3 as well as of Igγ 2b and fatty acid synthase. For numerous further proteins, cathepsin A inhibition partially dampened the LAD ligation-induced proteome alterations.

          Conclusions

          Our proteomic and functional data suggest that cathepsin A inhibition has cardioprotective properties and support a beneficial effect of cathepsin A inhibition in the treatment of heart failure after myocardial infarction.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12967-016-0907-8) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          In silico prediction of protein-protein interactions in human macrophages

          Background: Protein-protein interaction (PPI) network analyses are highly valuable in deciphering and understanding the intricate organisation of cellular functions. Nevertheless, the majority of available protein-protein interaction networks are context-less, i.e. without any reference to the spatial, temporal or physiological conditions in which the interactions may occur. In this work, we are proposing a protocol to infer the most likely protein-protein interaction (PPI) network in human macrophages. Results: We integrated the PPI dataset from the Agile Protein Interaction DataAnalyzer (APID) with different meta-data to infer a contextualized macrophage-specific interactome using a combination of statistical methods. The obtained interactome is enriched in experimentally verified interactions and in proteins involved in macrophage-related biological processes (i.e. immune response activation, regulation of apoptosis). As a case study, we used the contextualized interactome to highlight the cellular processes induced upon Mycobacterium tuberculosis infection. Conclusion: Our work confirms that contextualizing interactomes improves the biological significance of bioinformatic analyses. More specifically, studying such inferred network rather than focusing at the gene expression level only, is informative on the processes involved in the host response. Indeed, important immune features such as apoptosis are solely highlighted when the spotlight is on the protein interaction level.
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            Left Ventricular Remodeling After Myocardial Infarction: Pathophysiology and Therapy

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              World Health Organization definition of myocardial infarction: 2008-09 revision.

              WHO has played a leading role in the formulation and promulgation of standard criteria for the diagnosis of coronary heart disease and myocardial infarction since early 1970s. The revised definition takes into consideration the following: well-resourced settings can use the ESC/ACC/AHA/WHF definition, which has new biomarkers as a compulsory feature; in resource-constrained settings, a typical biomarker pattern cannot be made a compulsory feature as the necessary assays may not be available; the definition must also have provision for diagnosing non-fatal events with incomplete information on cardiac biomarkers and the ECG; to facilitate epidemiologic monitoring definition must recognize fatal events with incomplete or no information on cardiac biomarkers and/or ECG and/or autopsy and/or coronary angiography. Category A definition is the same as ESC/ACC/AHA/WHF definition of MI, and can be applied to settings with no resource constraints. Category B definition of MI is to be applied whenever there is incomplete information on cardiac bio-markers together with symptoms of ischaemia and the development of unequivocal pathological Q waves. Category C definition (probable MI) is to be applied when individuals with MI may not satisfy Category A or B definitions because of delayed access to medical services and/or unavailability of electrocardiography and/or laboratory assay of cardiac biomarkers. In these situations, the term probable MI should be used when there is either ECG changes suggestive of MI or incomplete information on cardiac biomarkers in a person with symptoms of ischaemia with no evidence of a non-coronary reason. This article presents the 2008-09 revision of the World Health Organization (WHO) definition of myocardial infarction (MI) developed at a WHO expert consultation.
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                Author and article information

                Contributors
                agnese.petrera@mol-med.uni-freiburg.de
                Johann.Gassenhuber@sanofi.com
                Sven.Ruf@sanofi.com
                mailtodeepika@gmail.com
                Jennifer.Esser@universitaets-herzzentrum.de
                jasminhasmik.shahinian@usb.ch
                Thomas.Huebschle@sanofi.com
                hartmut.ruetten@sanofi.com
                Thorsten.Sadowski@sanofi.com
                +49 761 203 9615 , oliver.schilling@mol-med.uni-freiburg.de
                Journal
                J Transl Med
                J Transl Med
                Journal of Translational Medicine
                BioMed Central (London )
                1479-5876
                31 May 2016
                31 May 2016
                2016
                : 14
                : 153
                Affiliations
                [ ]Institute for Molecular Medicine and Cell Research, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany
                [ ]Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, 65926 Frankfurt Am Main, Germany
                [ ]Department of Cardiology and Angiology, University Heart Center Freiburg, University of Freiburg, Breisacher Strasse 33, 79106 Freiburg, Germany
                [ ]Department of Cardiac Surgery, University Hospital Basel, Spitalstrasse 21, Basel, Switzerland
                [ ]BIOSS Centre for Biological Signaling Studies, University of Freiburg, 79104 Freiburg, Germany
                [ ]German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
                Article
                907
                10.1186/s12967-016-0907-8
                4888645
                27246731
                2c15d8e0-a938-458c-8ccf-bdc74b02fafa
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 December 2015
                : 13 May 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: SCHI 871/2 and SCHI 871/5, SCHI 871/6, GR 1748/6, and INST 39/900-1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: ERC-2011- StG 282111-ProteaSys
                Award Recipient :
                Funded by: Excellence Initiative of the German Federal and State Governments
                Award ID: EXC 294, BIOSS
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Medicine
                cardiovascular diseases,heart failure,myocardial infarction,drug therapy,mouse model
                Medicine
                cardiovascular diseases, heart failure, myocardial infarction, drug therapy, mouse model

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