{"doi":"10.4049/jimmunol.202.supp.54.14","title":"Comparing mast cell immunometabolism shifts induced by IgE mediated and non-IgE mediated degranulation","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Mast cells are immune effector cells with the ability to immediately release an array of pre-formed mediators in response to various stimuli, a process termed degranulation. Degranulation is generally divided into two categories: IgE mediated and non-IgE mediated. Non-IgE mast cell degranulation occurs in response to various environmental agents without prior IgE sensitization often making it difficult to identify the causative agent in patients. To better understand non-IgE mast cell degranulation, we characterized and compared metabolic shifts in response to both mechanisms of degranulation (IgE vs non-IgE) in bone marrow-derived mast cells (BMMCs) grown from C57BL/6 mice. Compound 48/80 and silver nanoparticles were used to trigger non-IgE degranulation. To explore metabolic changes in BMMCs, we used Seahorse XF technology to measure: 1) respiratory mitochondrial metabolism, 2) anaerobic glycolytic metabolism, and 3) performed a phenotype stress test to define metabolic pathways. The mito stress test revealed a decrease in respiration for both mechanisms of degranulation but was consistently lower for non-IgE triggers. Secondly, we observed an increase in glycolysis from both mechanisms which was more prominent in non-IgE degranulation. However, there was a complete depletion of glycolytic reserve with non-IgE degranulation that did not occur with IgE mediated degranulation. The cell phenotype test revealed that BMMCs shift towards glycolysis when activated via a non-IgE pathway more prominently than via an IgE-pathway. In conclusion, mast cell metabolism varies significantly between IgE and non-IgE degranulation with an apparent shift towards glycolytic dependence for non-IgE activated mast cells.</jats:p>","journal":"The Journal of Immunology","year":2019,"id":681697,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1461854,"name":"Colin C Anderson","orcid":null,"position":1,"is_corresponding":false},{"id":1781068,"name":"James R Roede","orcid":null,"position":2,"is_corresponding":false},{"id":1781069,"name":"Jared M Brown","orcid":null,"position":3,"is_corresponding":false},{"id":1781067,"name":"Ryan P Mendoza","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Comparing mast cell immunometabolism shifts induced by IgE mediated and non-IgE mediated degranulation","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Mast cells are immune effector cells with the ability to immediately release an array of pre-formed mediators in response to various stimuli, a process termed degranulation. Degranulation is generally divided into two categories: IgE mediated and non-IgE mediated. Non-IgE mast cell degranulation occurs in response to various environmental agents without prior IgE sensitization often making it difficult to identify the causative agent in patients. To better understand non-IgE mast cell degranulation, we characterized and compared metabolic shifts in response to both mechanisms of degranulation (IgE vs non-IgE) in bone marrow-derived mast cells (BMMCs) grown from C57BL/6 mice. Compound 48/80 and silver nanoparticles were used to trigger non-IgE degranulation. To explore metabolic changes in BMMCs, we used Seahorse XF technology to measure: 1) respiratory mitochondrial metabolism, 2) anaerobic glycolytic metabolism, and 3) performed a phenotype stress test to define metabolic pathways. The mito stress test revealed a decrease in respiration for both mechanisms of degranulation but was consistently lower for non-IgE triggers. Secondly, we observed an increase in glycolysis from both mechanisms which was more prominent in non-IgE degranulation. However, there was a complete depletion of glycolytic reserve with non-IgE degranulation that did not occur with IgE mediated degranulation. The cell phenotype test revealed that BMMCs shift towards glycolysis when activated via a non-IgE pathway more prominently than via an IgE-pathway. In conclusion, mast cell metabolism varies significantly between IgE and non-IgE degranulation with an apparent shift towards glycolytic dependence for non-IgE activated mast cells.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26207759","pmcid":null,"openalex_id":null,"authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"https://academic.oup.com/pages/standard-publication-reuse-rights","oa_locations":[{"url":"https://academic.oup.com/jimmunol/article/202/1_Supplement/54.14/7957004","host_type":"publisher"}],"fields_of_study":[],"mesh_terms":[],"keywords":[],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-17T18:27:36.662449Z","pmid":null,"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":[]}