{"doi":"10.1016/j.cmet.2024.07.017","title":"Obesity intensifies sex-specific interferon signaling to selectively worsen central nervous system autoimmunity in females","abstract":"Obesity has been implicated in the rise of autoimmunity in women. We report that obesity induces a serum protein signature that is associated with T helper 1 (Th1), interleukin (IL)-17, and multiple sclerosis (MS) signaling pathways selectively in human females. Females, but not male mice, subjected to diet-induced overweightness/obesity (DIO) exhibited upregulated Th1/IL-17 inflammation in the central nervous system during experimental autoimmune encephalomyelitis, a model of MS. This was associated with worsened disability and a heightened expansion of myelin-specific Th1 cells in the peripheral lymphoid organs. Moreover, at steady state, DIO increased serum levels of interferon (IFN)-α and potentiated STAT1 expression and IFN-γ production by naive CD4 + T cells uniquely in female mice. This T cell phenotype was driven by increased adiposity and was prevented by the removal of ovaries or knockdown of the type I IFN receptor in T cells. Our findings offer a mechanistic explanation of how obesity enhances autoimmunity.","journal":"Cell Metabolism","year":2024,"id":430806,"datarank":0.44166584687496613,"base_score":2.9444389791664403,"endowment":2.9444389791664403,"self_citation_contribution":0.44166584687496613,"citation_network_contribution":0.0,"self_endowment_contribution":0.44166584687496613,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9566,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1234146,"name":"Jeeyoon Jennifer Ahn","orcid":"0000-0002-1431-6351","position":1,"is_corresponding":false},{"id":281377,"name":"Saurabh Gawde","orcid":"0000-0002-8644-2277","position":2,"is_corresponding":false},{"id":1234147,"name":"Carmen C. Ucciferri","orcid":"0000-0002-2883-5953","position":3,"is_corresponding":false},{"id":1234148,"name":"Nuria Álvarez‐Sánchez","orcid":"0000-0002-1313-0440","position":4,"is_corresponding":false},{"id":228649,"name":"Xavier S. Revelo","orcid":"0000-0002-2754-509X","position":5,"is_corresponding":false},{"id":1234149,"name":"Natalie Stickle","orcid":"0000-0003-4822-0347","position":6,"is_corresponding":false},{"id":1234617,"name":"Kaylea Massey","orcid":null,"position":7,"is_corresponding":false},{"id":247693,"name":"David G. Brooks","orcid":"0000-0001-7763-8764","position":8,"is_corresponding":false},{"id":226232,"name":"Joel M. Guthridge","orcid":"0000-0002-9308-237X","position":9,"is_corresponding":false},{"id":1049683,"name":"Gabriel Pardo","orcid":"0000-0002-2207-3708","position":10,"is_corresponding":false},{"id":270369,"name":"Daniel A. Winer","orcid":"0000-0002-8702-0957","position":11,"is_corresponding":false},{"id":281381,"name":"Robert C. Axtell","orcid":"0000-0002-1435-4753","position":12,"is_corresponding":false},{"id":757427,"name":"Shannon E. Dunn","orcid":"0000-0002-6878-0563","position":13,"is_corresponding":false},{"id":1234145,"name":"Brendan Cordeiro","orcid":"0000-0001-5677-0686","position":0,"is_corresponding":true}],"reference_count":85,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:59:20.861374Z","pmid":"39168127","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":[]}