{"doi":"10.1002/jbm.b.34554","title":"Extracellular matrix decorated polycaprolactone scaffolds for improved mesenchymal stem/stromal cell osteogenesis towards a patient‐tailored bone tissue engineering approach","abstract":"The clinical demand for tissue-engineered bone is growing due to the increase of non-union fractures and delayed healing in an aging population. Herein, we present a method combining additive manufacturing (AM) techniques with cell-derived extracellular matrix (ECM) to generate structurally well-defined bioactive scaffolds for bone tissue engineering (BTE). In this work, highly porous three-dimensional polycaprolactone (PCL) scaffolds with desired size and architecture were fabricated by fused deposition modeling and subsequently decorated with human mesenchymal stem/stromal cell (MSC)-derived ECM produced in situ. The successful deposition of MSC-derived ECM onto PCL scaffolds (PCL-MSC ECM) was confirmed after decellularization using scanning electron microscopy, elemental analysis, and immunofluorescence. The presence of cell-derived ECM within the PCL scaffolds significantly enhanced MSC attachment and proliferation, with and without osteogenic supplementation. Additionally, under osteogenic induction, PCL-MSC ECM scaffolds promoted significantly higher calcium deposition and elevated relative expression of bone-specific genes, particularly the gene encoding osteopontin, when compared to pristine scaffolds. Overall, our results demonstrated the favorable effects of combining MSC-derived ECM and AM-based scaffolds on the osteogenic differentiation of MSC, resulting from a closer mimicry of the native bone niche. This strategy is highly promising for the development of novel personalized BTE approaches enabling the fabrication of patient defect-tailored scaffolds with enhanced biological performance and osteoinductive properties.","journal":"Journal of Biomedical Materials Research Part B Applied Biomaterials","year":2020,"id":64971,"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":66,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9568,"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":343729,"name":"Marta S. Carvalho","orcid":"0000-0003-1026-1995","position":1,"is_corresponding":false},{"id":343730,"name":"Ranodhi N. Udangawa","orcid":"0000-0001-7482-7260","position":2,"is_corresponding":false},{"id":343731,"name":"Carla Moura","orcid":"0000-0003-2610-1005","position":3,"is_corresponding":false},{"id":304860,"name":"Joaquim M. S. Cabral","orcid":"0000-0002-2405-5845","position":4,"is_corresponding":false},{"id":343732,"name":"Cláudia L. da Silva","orcid":"0000-0002-1091-7651","position":5,"is_corresponding":false},{"id":304861,"name":"Frederico Castelo Ferreira","orcid":"0000-0001-5177-6237","position":6,"is_corresponding":false},{"id":343733,"name":"Deepak Vashishth","orcid":"0000-0001-5712-0167","position":7,"is_corresponding":false},{"id":286697,"name":"Robert J. Linhardt","orcid":"0000-0003-2219-5833","position":8,"is_corresponding":false},{"id":343728,"name":"João C. Silva","orcid":"0000-0003-4773-6771","position":0,"is_corresponding":true}],"reference_count":68,"raw_metadata":null,"created_at":"2026-07-18T21:13:23.327603Z","pmid":"31916699","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":[]}