{"doi":"10.1073/pnas.1922559117","title":"Neuronal, stromal, and T-regulatory cell crosstalk in murine skeletal muscle","abstract":"A distinct population of Foxp3 + CD4 + regulatory T (Treg) cells promotes repair of acutely or chronically injured skeletal muscle. The accumulation of these cells depends critically on interleukin (IL)-33 produced by local mesenchymal stromal cells (mSCs). An intriguing physical association among muscle nerves, IL-33 + mSCs, and Tregs has been reported, and invites a deeper exploration of this cell triumvirate. Here we evidence a striking proximity between IL-33 + muscle mSCs and both large-fiber nerve bundles and small-fiber sensory neurons; report that muscle mSCs transcribe an array of genes encoding neuropeptides, neuropeptide receptors, and other nerve-related proteins; define muscle mSC subtypes that express both IL-33 and the receptor for the calcitonin-gene–related peptide (CGRP); and demonstrate that up- or down-tuning of CGRP signals augments or diminishes, respectively, IL-33 production by muscle mSCs and later accumulation of muscle Tregs. Indeed, a single injection of CGRP induced much of the genetic program elicited in mSCs early after acute skeletal muscle injury. These findings highlight neural/stromal/immune-cell crosstalk in tissue repair, suggesting future therapeutic approaches.","journal":"Proceedings of the National Academy of Sciences","year":2020,"id":65874,"datarank":0.6010999777848708,"base_score":4.007333185232471,"endowment":4.007333185232471,"self_citation_contribution":0.6010999777848708,"citation_network_contribution":0.0,"self_endowment_contribution":0.6010999777848708,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":54,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9525,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":239014,"name":"Omar Yaghi","orcid":null,"position":1,"is_corresponding":false},{"id":279519,"name":"Raúl G. Spallanzani","orcid":"0000-0001-5402-3687","position":2,"is_corresponding":false},{"id":348648,"name":"Xin Chen","orcid":"0000-0001-6212-2335","position":3,"is_corresponding":false},{"id":21637,"name":"David Zemmour","orcid":"0000-0002-0990-217X","position":4,"is_corresponding":false},{"id":348649,"name":"Nicole Y. Lai","orcid":"0000-0002-6927-4566","position":5,"is_corresponding":false},{"id":40859,"name":"Isaac M. Chiu","orcid":"0000-0002-0723-4841","position":6,"is_corresponding":false},{"id":18715,"name":"Christophe Benoıst","orcid":"0000-0003-1172-6555","position":7,"is_corresponding":false},{"id":37333,"name":"Diane Mathis","orcid":"0000-0002-6110-4626","position":8,"is_corresponding":false},{"id":349681,"name":"Kathy Wang","orcid":null,"position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T21:13:43.728351Z","pmid":"32102913","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":[]}