ArticleInternational endodontic journal2026
Long-Term Biobanked Dental Pulp Stem Cells Retain Angiogenic Potential for Vascularised Tissue Engineering-Laboratory Investigation.
Article in International endodontic journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Molecular Mechanisms and Clinical Applications of Neural Regeneration Through Dental Pulp Stem Cells.Stem cells international · 2026Review
- Optogenetic control of odontoblastic differentiation in dental pulp stem cells (DPSC).Journal of dental sciences · 2026Article
- Visible-light-triggered BMP-2 release from enzymatically crosslinked marine collagen-alginate hydrogel blends enhances osteogenesis in dental pulp stem cells.Frontiers in physiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
aimThis study aimed to evaluate whether human dental pulp stem cells (DPSCs), after long-term biobanking (7-8 years), retain their pro-angiogenic properties and can be used to engineer vascularised tissues, addressing their potential for clinical translation in regenerative dentistry. METHODOLOGY: Cryopreserved DPSCs from adolescent donors were recovered from biobanking and characterised for chromosomal integrity, MSC immunophenotype and multipotency. After conditioning in pro-angiogenic conditions in vitro, gene and protein expression were analysed by RT-qPCR array, flow cytometry and high-throughput immunophenotyping. Functional angiogenic capacity was assessed via in vitro tube formation, ex ovo CAM implantation assay, organ-on-chip perfusion model and long-term culture (45 days) in clinical-grade GelMA hydrogels, with and without HUVECs.
resultsBiobanked DPSCs retained MSC identity and multi-lineage differentiation potential. Pro-angiogenic/endothelial conditioning enhanced the expression of angiogenic/endothelial genes (PECAM1, VEGFR2, NRP1, ACE), yet most cells maintained a pericyte-like phenotype. Both naive and endothelial-conditioned DPSCs (i.e., naiveDPSCs and endoDPSCs, respectively) significantly enhanced vascular ingrowth in the CAM model. In the organ-on-chip system, naiveDPSCs formed perfusable vasculature with HUVECs and differentiated into perivascular cell types. Most notably, endoDPSCs alone successfully generated vascularised tissue with both CD31(+) and αSMA(+) cells present in GelMA hydrogels after prolonged stimulation.
conclusionLong-term biobanked DPSCs preserve their angiogenic potential and, following extended endothelial induction, can independently generate vascularised tissue in 3D in vitro culture models. This is the first report demonstrating the comprehensive pro-angiogenic characterisation and the feasibility of using biobanked DPSCs for vascularised tissue engineering, highlighting their strong clinical applicability for future regenerative therapies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.