ArticlePloS one2025
Enhancing gutta-percha with silver mesoporous calcium silicate nanoparticles for advanced endodontic applications.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Sealing Ability of Polydopamine-Coated Gutta-Percha With Bioceramic Sealer: An In Vitro Study.International journal of dentistry · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study aimed to develop a modified gutta-percha (GP) multifunctional endodontic material by incorporating mesoporous calcium silicate nanoparticles (MCSNs) or silver-incorporated mesoporous calcium silicate nanoparticles (Ag-MCSNs) as bioactive nanoparticle fillers to enhance bioactivity, biomineralization, and radiopacity while achieving low cytotoxicity and improved antibacterial activity. METHODOLOGY: MCSNs and Ag-MCSNs were synthesized and incorporated into GP at concentrations of 1%, 5%, and 10% by weight. The chemical and structural characterization of the new GP materials was performed using Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), energy-dispersive spectrometry (EDS), and field emission-scanning electron microscopy (FE-SEM) to assess filler distribution. Biomineralization was evaluated using XRD, EDS, and scanning electron microscopy (SEM). Ion release, pH changes, MTT assays, and culture-based techniques were employed to assess bioactivity, biocompatibility, and antibacterial properties. Finally, radiopacity testing was conducted.
resultsAll samples of the newly developed GP exhibited uniform particle distribution within the GP matrix. Bioactivity and biomineralization tests revealed hydroxyapatite (HA) layer precipitation at 3, 7, 14, and 28 days, with maximum HA formation observed with prolonged immersion. Samples containing MCSNs or Ag-MCSNs created a weakly alkaline microenvironment initially, maintaining a suitable pH over time. All groups demonstrated non-cytotoxicity, with cell viability exceeding 70%. Antibacterial tests showed larger inhibition zones in all experimental groups compared to the control, with GP containing 10% MCSNs or Ag-MCSNs exhibiting the highest antibacterial activity, particularly Ag-MCSNs. Radiopacity tests indicated no significant difference between the experimental and control groups.
conclusionGutta-percha materials incorporated with 10% MCSNs or Ag-MCSNs demonstrated enhanced bioactivity, biomineralization, and antibacterial properties compared to the control GP, while maintaining suitable levels of biocompatibility in accordance with ISO 10993/2009 standards. The incorporation of Ag-MCSNs significantly improved antibacterial effects, particularly against Enterococcus faecalis, and increased radiopacity, making it a promising material for root canal therapy.
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.