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Record W4293457849 · doi:10.1111/iej.13823

Poly(caprolactone)‐aligned nanofibers associated with fibronectin‐loaded collagen hydrogel as a potent bioactive scaffold for cell‐free regenerative endodontics

2022· article· en· W4293457849 on OpenAlexaff
Maria Luísa Leite, Rafael Antônio de Oliveira Ribeiro, Diana Gabriela Soares, Josimeri Hebling, Carlos Alberto de Souza Costa

Bibliographic record

VenueInternational Endodontic Journal · 2022
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsUniversity of British Columbia
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsRegeneration (biology)FibronectinScaffoldMaterials scienceElectrospinningNanofiberPulp (tooth)CaprolactoneDentistryBiomedical engineeringChemistryCellMedicineCell biologyComposite materialBiochemistryBiologyPolymer

Abstract

fetched live from OpenAlex

AIM: Guided tissue regeneration has been considered a promising strategy to replace conventional endodontic therapy of teeth with incomplete root formation. Therefore, the objective of this study was to develop a tubular scaffold (TB-SC) with poly (caprolactone)-aligned nanofibres associated with a fibronectin (FN)-loaded collagen hydrogel and assess the pulp regeneration potential mediated by human apical papilla cells (hAPCs) using an in vitro model of teeth with incomplete root formation. METHODOLOGY: Aligned nanofibre strips based on 10% poly(caprolactone) (PCL) were synthesized with the electrospinning technique to produce the TB-SCs. These were submitted to different treatments, according to the following groups: TB-SC (negative control): TB-SC without treatment; TB-SC + FN (positive control): TB-SC coated with 10 μg/ml of FN; TB-SC + H: TB-SC associated with collagen hydrogel; TB-SC + HFN: TB-SC associated with FN-loaded collagen hydrogel. Then, the biomaterials were inserted into cylindrical devices to mimic the regenerative therapy of teeth with incomplete root formation. The hAPCs were seeded on the upper surface of the TB-SCs associated or not with any treatment, and cell migration/proliferation and the gene expression of markers related to pulp regeneration (ITGA5, ITGAV, COL1A1 and COL1A3) were evaluated. The data were submitted to anova/Tukey's tests (α = 5%). RESULTS: Higher values of cell migration/proliferation and gene expression of all markers tested were observed in groups TB-SC + FN, TB-SC + H, and TB-SC + HFN compared with the TB-SC group (p < .05). The hAPCs in the TB-SC + HFN group showed the highest values of cell proliferation and gene expression of COL1A1 and COL3A1 (p < .05), as well as superior cell migration results to groups TB-SC and TB-SC + H (p < .05). CONCLUSION: Aligned nanofibre scaffolds associated with the FN-loaded collagen hydrogel enhanced the migration and proliferation of hAPCs and gene expression of pulp regeneration markers. Therefore, the use of these biomaterials may be considered an interesting strategy for regenerative pulp therapy of teeth with incomplete root formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.255
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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