{"doi":"10.1002/jcp.30486","title":"1,25‐Dihydroxyvitamin D<sub>3</sub> and dietary vitamin D reduce inflammation in mice lacking intestinal epithelial cell Rab11a","abstract":"Abstract A number of studies have examined the effects of 1,25‐dihydroxyvitamin D 3 (1,25(OH) 2 D 3 ) on intestinal inflammation driven by immune cells, while little information is currently available about its impact on inflammation caused by intestinal epithelial cell (IEC) defects. Mice lacking IEC‐specific Rab11a a recycling endosome small GTPase resulted in increased epithelial cell production of inflammatory cytokines, notably IL‐6 and early onset of enteritis. To determine whether vitamin D supplementation may benefit hosts with epithelial cell‐originated mucosal inflammation, we evaluated in vivo effects of injected 1,25(OH) 2 D 3 or dietary supplement of a high dose of vitamin D on the gut phenotypes of IEC‐specific Rab11a knockout mice ( Rab11a ΔIEC ). 1,25(OH) 2 D 3 administered at 25 ng, two doses per mouse, by intraperitoneal injection, reduced inflammatory cytokine production in knockout mice compared to vehicle‐injected mice. Remarkably, feeding mice with dietary vitamin D supplementation at 20,000 IU/kg spanning fetal and postnatal developmental stages led to improved bodyweights, reduced immune cell infiltration, and decreased inflammatory cytokines. We found that these vitamin D effects were accompanied by decreased NF‐κB (p65) in the knockout intestinal epithelia, reduced tissue‐resident macrophages, and partial restoration of epithelial morphology. Our study suggests that dietary vitamin D supplementation may prevent and limit intestinal inflammation in hosts with high susceptibility to chronic inflammation.","journal":"Journal of Cellular Physiology","year":2021,"id":199198,"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":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9537,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":241166,"name":"Juan Flores","orcid":"0000-0002-9997-8927","position":1,"is_corresponding":false},{"id":243730,"name":"Iyshwarya Balasubramanian","orcid":null,"position":2,"is_corresponding":false},{"id":241165,"name":"Sheila Bandyopadhyay","orcid":"0000-0002-1827-9324","position":3,"is_corresponding":false},{"id":775649,"name":"Ivor Joseph","orcid":null,"position":4,"is_corresponding":false},{"id":775650,"name":"Jared Bianchi‐Smak","orcid":null,"position":5,"is_corresponding":false},{"id":372729,"name":"Puneet Dhawan","orcid":null,"position":6,"is_corresponding":false},{"id":775651,"name":"Derya M. Mücahit","orcid":null,"position":7,"is_corresponding":false},{"id":241162,"name":"Shiyan Yu","orcid":"0000-0001-8550-7078","position":8,"is_corresponding":false},{"id":371187,"name":"Sylvia Christakos","orcid":"0000-0001-9148-5549","position":9,"is_corresponding":false},{"id":241180,"name":"Nan Gao","orcid":"0000-0003-4264-7438","position":10,"is_corresponding":false},{"id":548811,"name":"Sayantani Goswami","orcid":"0009-0000-0128-7902","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-18T23:50:36.595945Z","pmid":"34192357","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":[]}