{"doi":"10.1042/cs20230804","title":"Myeloid cell-specific deletion of epidermal growth factor receptor aggravates acute cardiac injury","abstract":"Myeloid cells, including macrophages, play important roles as first responders to cardiac injury and stress. Epidermal growth factor receptor (EGFR) has been identified as a mediator of macrophage responsiveness to select diseases, though its impact on cardiac function or remodeling following acute ischemic injury is unknown. We aimed to define the role of myeloid cell-specific EGFR in the regulation of cardiac function and remodeling following acute myocardial infarction (MI)-induced injury. Floxed EGFR mice were bred with homozygous LysM-Cre (LMC) transgenic mice to yield myeloid-specific EGFR knockout (mKO) mice. Via echocardiography, immunohistochemistry, RNA sequencing and flow cytometry, the impact of myeloid cell-specific EGFR deletion on cardiac structure and function was assessed at baseline and following injury. Compared with LMC controls, myeloid cell-specific EGFR deletion led to an increase in cardiomyocyte hypertrophy at baseline. Bulk RNASeq analysis of isolated cardiac Cd11b+ myeloid cells revealed substantial changes in mKO cell transcripts at baseline, particularly in relation to predicted decreases in neovascularization. In response to myocardial infarction, mKO mice experienced a hastened decline in cardiac function with isolated cardiac Cd11b+ myeloid cells expressing decreased levels of the pro-reparative mediators Vegfa and Il10, which coincided with enhanced cardiac hypertrophy and decreased capillary density. Overall, loss of EGFR qualitatively alters cardiac resident macrophages that promotes a low level of basal stress and a more rapid decrease in cardiac function along with worsened repair following acute ischemic injury.","journal":"Clinical Science","year":2023,"id":382463,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9602,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":520476,"name":"Tapas Kumar Nayak","orcid":"0000-0002-2155-1093","position":1,"is_corresponding":false},{"id":712914,"name":"Viren Patwa","orcid":"0000-0001-5146-150X","position":2,"is_corresponding":false},{"id":1148965,"name":"David Teplitsky","orcid":"0000-0002-8408-084X","position":3,"is_corresponding":false},{"id":484239,"name":"Erin McEachern","orcid":"0000-0003-1574-1189","position":4,"is_corresponding":false},{"id":540407,"name":"Rhonda L. Carter","orcid":null,"position":5,"is_corresponding":false},{"id":1001962,"name":"Heli Xu","orcid":null,"position":6,"is_corresponding":false},{"id":244554,"name":"Erhe Gao","orcid":"0000-0002-5151-7857","position":7,"is_corresponding":false},{"id":376535,"name":"Yan Zhou","orcid":"0000-0002-8698-0040","position":8,"is_corresponding":false},{"id":422361,"name":"Douglas G. Tilley","orcid":"0000-0002-9681-3377","position":9,"is_corresponding":false},{"id":460899,"name":"Ama Dedo Okyere","orcid":"0000-0002-4723-9495","position":0,"is_corresponding":true}],"reference_count":61,"raw_metadata":null,"created_at":"2026-07-19T01:17:20.969491Z","pmid":"37728308","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}