{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Singh K"],"funding":["British Heart Foundation","Wellcome Trust"],"pagination":["640837"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7973371"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12"],"pubmed_abstract":["Inflammatory cardiomyopathy covers a group of diseases characterized by inflammation and dysfunction of the heart muscle. The immunosuppressive agents such as prednisolone, azathioprine and cyclosporine are modestly effective treatments, but a molecular rationale underpinning such therapy or the development of new therapeutic strategies is lacking. We aimed to develop a network-based approach to identify therapeutic targets for inflammatory cardiomyopathy from the evolving myocardial transcriptome in a mouse model of the disease. We performed bulk RNA sequencing of hearts at early, mid and late time points from mice with experimental autoimmune myocarditis. We identified a cascade of pathway-level events involving early activation of cytokine and chemokine-signaling pathways that precede l"],"journal":["Frontiers in immunology"],"pubmed_title":["Transcriptomic Analysis of Inflammatory Cardiomyopathy Identifies Molecular Signatures of Disease and Informs <i>in silico</i> Prediction of a Network-Based Rationale for Therapy."],"pmcid":["PMC7973371"],"funding_grant_id":["RG/18/1/33351","203141/Z/16/Z","204969/Z/16/Z","CH/09/003/26631","PG/16/100/32632","RE/13/1/30181","090532/Z/09/Z"],"pubmed_authors":["Fang H","Wright B","Lockstone H","Williams RO","Knight JC","Singh K","Bhattacharya S","Cihakova D","Davies G"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptomic Analysis of Inflammatory Cardiomyopathy Identifies Molecular Signatures of Disease and Informs <i>in silico</i> Prediction of a Network-Based Rationale for Therapy.","description":"Inflammatory cardiomyopathy covers a group of diseases characterized by inflammation and dysfunction of the heart muscle. The immunosuppressive agents such as prednisolone, azathioprine and cyclosporine are modestly effective treatments, but a molecular rationale underpinning such therapy or the development of new therapeutic strategies is lacking. We aimed to develop a network-based approach to identify therapeutic targets for inflammatory cardiomyopathy from the evolving myocardial transcriptome in a mouse model of the disease. We performed bulk RNA sequencing of hearts at early, mid and late time points from mice with experimental autoimmune myocarditis. We identified a cascade of pathway-level events involving early activation of cytokine and chemokine-signaling pathways that precede l","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2026-05-01T17:34:55.242Z","creation":"2024-11-21T10:23:53.377Z"},"accession":"S-EPMC7973371","cross_references":{"pubmed":["33746983"],"doi":["10.3389/fimmu.2021.640837"]}}