{"doi":"10.3390/ijms26146734","title":"microRNA-200c Mitigates Pulpitis and Promotes Dentin Regeneration","abstract":"MicroRNA (miR)-200c enhances osteogenesis, modulates inflammation, and participates in dentin development. This study was to investigate the beneficial potential of miR-200c in vital pulp therapy (VPT) by mitigating pulpitis and promoting dentin regeneration. We explored the miR-200c variations in inflamed pulp tissues from patients with symptomatic irreversible pulpitis and primary human dental pulp-derived cells (DPCs) challenged with P.g. lipopolysaccharide (Pg-LPS). We further assessed the functions of overexpression of miR-200c on odontogenic differentiation, pulpal inflammation, and dentin regeneration in vitro and in vivo. Our findings revealed a noteworthy downregulation of miR-200c expression in inflamed pulp tissues and primary human DPCs. Through the overexpression of miR-200c via transfecting plasmid DNA (pDNA), we observed a substantial downregulation of proinflammatory cytokines interleukin (IL)-6 and IL-8 in human DPCs. Furthermore, this overexpression significantly enhanced the transcript and protein levels of odontogenic differentiation markers, including Runt-related transcription factor (Runx)2, osteocalcin (OCN), dentin matrix protein (DMP)1, and dentin sialophosphoprotein (DSPP). In a rat model of pulpitis induced by Pg-LPS, we demonstrated notable benefits by local application of pDNA encoding miR-200c delivered by CaCO3-based nanoparticles to reduce pulpal inflammation and promote dentin formation. These results underscore the significant impact of locally applied miR-200c in modulating pulpal inflammation and facilitating dentin repair, showcasing its ability to improve VPT outcomes.","journal":"International Journal of Molecular Sciences","year":2025,"id":570292,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9672,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":934682,"name":"Chawin Upara","orcid":"0000-0001-8934-1618","position":1,"is_corresponding":false},{"id":1099792,"name":"Matthew T. Remy","orcid":"0000-0001-9217-9703","position":2,"is_corresponding":false},{"id":1475630,"name":"Long Jiang","orcid":"0000-0002-6388-7046","position":3,"is_corresponding":false},{"id":495434,"name":"Jue Hu","orcid":"0000-0003-4714-8187","position":4,"is_corresponding":false},{"id":1475925,"name":"Kittiphoj Tikkhanarak","orcid":null,"position":5,"is_corresponding":false},{"id":1475631,"name":"Bruno Neves Cavalcanti","orcid":"0000-0002-0455-4823","position":6,"is_corresponding":false},{"id":495435,"name":"Hongli Sun","orcid":"0000-0001-8398-3011","position":7,"is_corresponding":false},{"id":512339,"name":"Fabrício B. Teixeira","orcid":"0000-0003-2790-3499","position":8,"is_corresponding":false},{"id":636510,"name":"Liu Hong","orcid":"0000-0003-0308-5049","position":9,"is_corresponding":false},{"id":695413,"name":"Tadkamol Krongbaramee","orcid":"0000-0002-1755-1381","position":0,"is_corresponding":true}],"reference_count":53,"raw_metadata":null,"created_at":"2026-07-19T02:57:07.857542Z","pmid":"40724983","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":[]}