ArticleCell proliferation2022
Dental pulp stem cells-based therapy for the oviduct injury via immunomodulation and angiogenesis in vivo.
Article in Cell proliferation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 8 citations in OpenAlex.
- miR-3614-5p prevents endothelial differentiation and angiogenesis in human exfoliated deciduous teeth by targeting lysophosphatidic acid receptor 2.In vitro cellular & developmental biology. Animal · 2026Article
- Engineered Sustainable Mxene-PVA Hydrogel as an Inspiring Co-Delivery Carrier for Targeting Solid Tumors.Pharmaceutics · 2025Article
- Photosensitive Hydrogels Encapsulating DPSCs and AgNPs for Dental Pulp Regeneration.International dental journal · 2024Article
- Inhibitory effects of the nanoscale lysate derived from xenogenic dental pulp stem cells in lung cancer models.Journal of nanobiotechnology · 2023Article
- Dental pulp stem cells-based therapy for the oviduct injury via immunomodulation and angiogenesis in vivo.Cell proliferation · 2022Article
- Temperature- and pH-responsive injectable chitosan hydrogels loaded with doxorubicin and curcumin as long-lasting release platforms for the treatment of solid tumors.Frontiers in bioengineering and biotechnology · 2022Article
- Revolutionary Regeneration Therapy Utilizing Dental Stem Cells and State-of-the-Art Nanotechnology Devices to Heal Injured Teeth and Tissues.Avicenna journal of medical biotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
objectivesAs a result of the current limitation of therapeutic strategies, the repair and regeneration of oviduct injuries required an alternative treatment. We present a novel approach to treat oviduct injuries through a dental pulp stem cells (DPSCs)-based therapy. MATERIALS AND
methodsIn vitro and in vivo models have been established. Immunofluorescence staining, flow cytometry and enzyme-linked immunosorbent assay (ELISA) analysis were used to investigate the features and angiogenic properties of DPSCs, as well as their impact on macrophages, in vitro. For the in vivo experiment with female SD rat model, immunohistochemical staining and ELISA analysis were used to assess the effects of DPSCs on the repair and regeneration of damaged oviducts.
resultsThe present data showed that intraperitoneal injection of DPSCs reduced the expression of IL-6 and TNF-α to inhibit the immunoreaction in injured sites, as well as increased the expression of VEGF to promote the in situ formation of vessel-like structures, thus the repair and recovery process could be initiated.
conclusionsWe concluded that DPSCs-based therapy could be a novel potential technique for restoring the structure and function of damaged oviduct by enhancing immuno-regulated effect and promoting angiogenic property.
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.