{"doi":"10.1093/gerona/glaa049","title":"Deletion of PPARγ in Mesenchymal Lineage Cells Protects Against Aging-Induced Cortical Bone Loss in Mice","abstract":"Bone loss in aging is linked with chronic low-grade inflammation and the accumulation of marrowfat in animals and humans. Peroxisome proliferator-activated receptor gamma (PPARγ), an adipogenic regulator, plays key roles in these biological processes. However, studies of the roles of PPARγ in age-related bone loss and inflammation are lacking. We hypothesized that deletion of PPARγ in bone marrow mesenchymal lineage cells would reduce bone loss with aging, potentially through a reduction in fat-generated inflammatory responses and an increase in osteoblastic activity. In the present study, we show that mice deficient of PPARγ in Dermo1-expressing mesenchymal lineage cells (Dermo1-Cre:PPARγ fl/fl) have reduced fat mass and increased cortical bone thickness but that deficiency of PPARγ had limited effect on protection of trabecular bone with aging as demonstrated by dual-energy X-ray absorptiometry, µCT, and histomorphometric analyses. Conditional knockout of PPARγ reduced serum concentrations of adipokines, including adiponectin, resistin, and leptin, and reduced marrow stromal cell expression levels of inflammation-related genes. Inflammation genes involved in the interferon signaling pathway were reduced the most. These results demonstrate that disruption of the master adipogenic regulator, PPARγ, has a certain protective effect on aging-induced bone loss, suggesting that regulation of adipose function and modulation of interferon signaling are among the key mechanisms by which PPARγ regulates bone homeostasis during aging process.","journal":"The Journals of Gerontology Series A","year":2020,"id":70878,"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":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9504,"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":375542,"name":"Kehong Ding","orcid":null,"position":1,"is_corresponding":false},{"id":374667,"name":"Guodong Pan","orcid":"0000-0003-0594-4492","position":2,"is_corresponding":false},{"id":375543,"name":"Raysa Rosario","orcid":null,"position":3,"is_corresponding":false},{"id":374668,"name":"Yun Su","orcid":"0000-0002-7943-0649","position":4,"is_corresponding":false},{"id":375544,"name":"Yong-Gang Bao","orcid":null,"position":5,"is_corresponding":false},{"id":375545,"name":"Hongyan Zhou","orcid":null,"position":6,"is_corresponding":false},{"id":374669,"name":"Jianru Xu","orcid":"0009-0001-0279-5957","position":7,"is_corresponding":false},{"id":375546,"name":"Meghan E McGee Lawrence","orcid":null,"position":8,"is_corresponding":false},{"id":266798,"name":"Mark W. Hamrick","orcid":"0000-0003-2246-3121","position":9,"is_corresponding":false},{"id":264783,"name":"Carlos M. Isales","orcid":"0000-0002-4480-3484","position":10,"is_corresponding":false},{"id":340571,"name":"Xingming Shi","orcid":"0000-0003-4920-0989","position":11,"is_corresponding":false},{"id":371578,"name":"Jay Cao","orcid":"0000-0002-5453-0176","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-18T21:43:32.585486Z","pmid":"32060555","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":[]}