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      Clearance of senescent cells during cardiac ischemia–reperfusion injury improves recovery

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          Abstract

          A key component of cardiac ischemia–reperfusion injury (IRI) is the increased generation of reactive oxygen species, leading to enhanced inflammation and tissue dysfunction in patients following intervention for myocardial infarction. In this study, we hypothesized that oxidative stress, due to ischemia–reperfusion, induces senescence which contributes to the pathophysiology of cardiac IRI. We demonstrate that IRI induces cellular senescence in both cardiomyocytes and interstitial cell populations and treatment with the senolytic drug navitoclax after ischemia–reperfusion improves left ventricular function, increases myocardial vascularization, and decreases scar size. SWATH‐MS‐based proteomics revealed that biological processes associated with fibrosis and inflammation that were increased following ischemia–reperfusion were attenuated upon senescent cell clearance. Furthermore, navitoclax treatment reduced the expression of pro‐inflammatory, profibrotic, and anti‐angiogenic cytokines, including interferon gamma‐induced protein‐10, TGF‐β3, interleukin‐11, interleukin‐16, and fractalkine. Our study provides proof‐of‐concept evidence that cellular senescence contributes to impaired heart function and adverse remodeling following cardiac ischemia–reperfusion. We also establish that post‐IRI the SASP plays a considerable role in the inflammatory response. Subsequently, senolytic treatment, at a clinically feasible time‐point, attenuates multiple components of this response and improves clinically important parameters. Thus, cellular senescence represents a potential novel therapeutic avenue to improve patient outcomes following cardiac ischemia–reperfusion.

          Abstract

          Myocardial infarction and subsequent ischemia–reperfusion injury initiate senescence in multiple cell populations in the peri‐infarct region of the myocardium. Production of the SASP drives myocardial inflammation which promotes myocardial remodeling and inhibits angiogenesis. Treatment with the senolytic navitoclax reduced myocardial senescence and the associated SASP, resulting in a reduced scar size and increased vascularization which ultimately improved cardiac function.

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          Most cited references59

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          STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

          Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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            The Perseus computational platform for comprehensive analysis of (prote)omics data.

            A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry-based analysis. We developed the Perseus software platform (http://www.perseus-framework.org) to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
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              The senescence-associated secretory phenotype: the dark side of tumor suppression.

              Cellular senescence is a tumor-suppressive mechanism that permanently arrests cells at risk for malignant transformation. However, accumulating evidence shows that senescent cells can have deleterious effects on the tissue microenvironment. The most significant of these effects is the acquisition of a senescence-associated secretory phenotype (SASP) that turns senescent fibroblasts into proinflammatory cells that have the ability to promote tumor progression.
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                Author and article information

                Contributors
                Gavin.richardson@ncl.ac.uk
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                29 September 2020
                October 2020
                : 19
                : 10 ( doiID: 10.1111/acel.v19.10 )
                : e13249
                Affiliations
                [ 1 ] Biosciences Institute Newcastle University Newcastle upon Tyne UK
                [ 2 ] School of Environmental Sciences Faculty of Science Agriculture & Engineering Newcastle University Newcastle upon Tyne UK
                [ 3 ] Faculty of Pharmacy Charles University Prague Czech Republic
                [ 4 ] School of Medicine Dentistry and Biomedical Sciences Centre for Experimental Medicine Institute for Health Sciences Queen`s University Belfast Belfast UK
                [ 5 ] INSERM I2MC University of Toulouse Toulouse France
                [ 6 ] Translational and Clinical Research Newcastle University Newcastle upon Tyne UK
                [ 7 ] Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA
                Author notes
                [*] [* ] Correspondence

                Gavin D. Richardson, Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE1 3BZ UK.

                Email: Gavin.richardson@ 123456ncl.ac.uk

                Author information
                https://orcid.org/0000-0002-4999-4427
                https://orcid.org/0000-0002-8539-4971
                https://orcid.org/0000-0001-9163-9560
                https://orcid.org/0000-0002-9307-7175
                https://orcid.org/0000-0002-8514-7196
                https://orcid.org/0000-0003-4286-4811
                https://orcid.org/0000-0003-4001-1727
                https://orcid.org/0000-0002-9229-1161
                https://orcid.org/0000-0002-1765-0283
                https://orcid.org/0000-0002-3655-7754
                https://orcid.org/0000-0002-2750-2444
                https://orcid.org/0000-0001-6522-1363
                https://orcid.org/0000-0001-8765-1890
                https://orcid.org/0000-0002-2310-9987
                Article
                ACEL13249
                10.1111/acel.13249
                7576252
                32996233
                56965aae-401f-4c7e-932a-f77cee3f38c3
                © 2020 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 June 2020
                : 02 September 2020
                : 13 September 2020
                Page count
                Figures: 5, Tables: 0, Pages: 15, Words: 9463
                Funding
                Funded by: Wellcome Trust , open-funder-registry 10.13039/100010269;
                Funded by: Ted Nash Long Life Foundation
                Funded by: Newcastle Healthcare Charity
                Funded by: British Heart Foundation , open-funder-registry 10.13039/501100000274;
                Award ID: PG/14/86/31177
                Award ID: PG/18/25/33587
                Award ID: PG/18/57/33941
                Award ID: PG/19/15/34269
                Categories
                Original Paper
                Original Paper
                Custom metadata
                2.0
                October 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.3 mode:remove_FC converted:21.10.2020

                Cell biology
                cardiac,ischemia–reperfusion,remodeling,senescence,senolytic
                Cell biology
                cardiac, ischemia–reperfusion, remodeling, senescence, senolytic

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