ArticleACS biomaterials science & engineering2021
Rat Calvarial Bone Regeneration by 3D-Printed β-Tricalcium Phosphate Incorporating MicroRNA-200c.
Article in ACS biomaterials science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Biologics for bone regeneration: advances in cell, protein, gene, and mRNA therapies.Bone research · 2026Review
- Strategic advances in Vat Photopolymerization for 3D printing of calcium phosphate-based bone scaffolds: A review.Bioactive materials · 2025Review
- Inhibition of craniosynostosis and premature suture fusion inScience advances · 2025Article
- Strategies for Craniofacial Tissue Engineering: Innovations for Scalable Bone Regeneration.Plastic and aesthetic research · 2025Article
- 3D-Printed Triply Periodic Minimal Surface Ceramic Scaffold Loaded With Bone Morphogenetic Protein-2 and Zoledronic for Cranium Defect Repairment.Journal of tissue engineering and regenerative medicine · 2025Article
- Mechanical and biological properties of 3D printed bone tissue engineering scaffolds.Frontiers in bioengineering and biotechnology · 2025Review
- MicroRNA-200c Release from Gelatin-Coated 3D-Printed PCL Scaffolds Enhances Bone Regeneration.ACS biomaterials science & engineering · 2024Article
- 3D-printed TCP-HA scaffolds delivering MicroRNA-302a-3p improve bone regeneration in a mouse calvarial model.BDJ open · 2023Article
- Bioactive Materials for Bone Regeneration: Biomolecules and Delivery Systems.ACS biomaterials science & engineering · 2023Review
- Exploring microRNAs in craniofacial regenerative medicine.Biochemical Society transactions · 2023Review
- Three-Dimensional Impression of Biomaterials for Alveolar Graft: Scoping Review.Journal of functional biomaterials · 2023Article
- Plasmid encodingNanomedicine (London, England) · 2022Article
- A Review of 3D Printed Bone Implants.Micromachines · 2022Review
- Clinically relevant preclinical animal models for testing novel cranio-maxillofacial bone 3D-printed biomaterials.Clinical and translational medicine · 2022Review
- MicroRNA-loaded biomaterials for osteogenesis.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Advanced fabrication methods for bone grafts designed to match defect sites that combine biodegradable, osteoconductive materials with potent, osteoinductive biologics would significantly impact the clinical treatment of large bone defects. In this study, we engineered synthetic bone grafts using a hybrid approach that combined three-dimensional (3D-)printed biodegradable, osteoconductive β-tricalcium phosphate (β-TCP) with osteoinductive microRNA(miR)-200c. 3D-printed β-TCP scaffolds were fabricated utilizing a suspension-enclosing projection-stereolithography (SEPS) process to produce constructs with reproducible microarchitectures that enhanced the osteoconductive properties of β-TCP. Collagen coating on 3D-printed β-TCP scaffolds slowed the release of plasmid DNA encoding
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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.