ArticleAmerican journal of translational research2019
Dental pulp stem cells expressing SIRT1 improve new bone formation during distraction osteogenesis.
Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- The research landscape and trends of dental pulp stem cell studies (2010-2025): A bibliometric analysis.Regenerative therapy · 2025Article
- Potential of Dental Pulp Stem Cell Exosomes: Unveiling miRNA-Driven Regenerative Mechanisms.International dental journal · 2025Review
- Stem Cells and Bone Tissue Engineering.Life (Basel, Switzerland) · 2024Review
- Mesenchymal stromal cells for bone trauma, defects, and disease: Considerations for manufacturing, clinical translation, and effective treatments.Bone reports · 2023Article
- Application of Dental Pulp Stem Cells for Bone and Neural Tissue Regeneration in Oral and Maxillofacial Region.Stem cells international · 2023Review
- Black Phosphorus Nanoparticles Promote Osteogenic Differentiation of EMSCs Through Upregulated TG2 Expression.Nanoscale research letters · 2021Article
- Angiogenesis in Regenerative Dentistry: Are We Far Enough for Therapy?International journal of molecular sciences · 2021Review
- Epigenetic Regulation of Dental Pulp Stem Cell Fate.Stem cells international · 2020Review
- Downregulation of microRNA-16-5p accelerates fracture healing by promoting proliferation and inhibiting apoptosis of osteoblasts in patients with traumatic brain injury.American journal of translational research · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Distraction osteogenesis (DO) is one of the most promising reconstructive methods for repairing large craniofacial defects or growth deficiencies through bone regeneration, but it is also a challenge because of an undesirably long process and its complications, which limit its application in clinical practice. The transplantation of mesenchymal stem cells (MSCs) is regarded as an innovative approach to accelerate bone regeneration. Dental pulp stem cells (DPSCs) have shown some advantages over other human adult MSCs, and DPSCs have been regarded as one of the most promising cell sources used in the endogenous tissue engineering. Furthermore, using stem cells modified by gene engineering in DO has been reported in previous studies. It has been shown that Sirtuin-1 (SIRT1) can directly regulate the differentiation of MSCs into osteoblasts. In this study, DPSCs expressing SIRT1 were prepared and their effects on the new bone formation were further investigated in rabbits with tibia. Rabbits were injected with the adenovirus (Adv)-SIRT1-green fluorescent protein (GFP)-transfected DPSCs (overexpression group, Group OE), Adv-GFP transfected DPSCs (negative control group, Group NC) or physiologic saline (control group, Groups CON) into the distraction gap. The new bone tissues in the distraction gap were harvested 8 weeks later, and subjected to by radiographic examination, micro-CT evaluation, and histological and mechanical testing. The better bone formation, the highest bone mineral density (BMD) and the highest bone mineral content (BMC) were observed in the OE group. In conclusion, SIRT1-modified DPSCs in DO was more effective to promote new bone formation during DO, which provides evidence for further investigation about the role of of SIRT1 in the DO.
Indexed as
Identifiers
30899383PMC6413255W2982149038What 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.