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Record W4412152366 · doi:10.1007/s10266-025-01146-w

Dexamethasone/β-cyclodextrin inclusion complex hydrogel for vital pulp therapy

2025· article· en· W4412152366 on OpenAlexaff
Saidah Tootla, Isaac Jordão de Souza Araújo, Arwa Daghrery, Marco C. Bottino

Bibliographic record

VenueOdontology · 2025
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsUniversity of Saskatchewan
FundersNational Institute of Dental and Craniofacial ResearchNational Institutes of Health
KeywordsCyclodextrinOral and maxillofacial surgeryDexamethasoneChemistryBeta-CyclodextrinsPulp (tooth)Inclusion (mineral)PharmacologyMedicineAnesthesiaDentistryInternal medicineChromatographyMineralogy

Abstract

fetched live from OpenAlex

Targeting inflammation and mineralization responses in a controlled manner for vital pulp therapies is a challenging task. Here, we prepared dexamethasone-β-cyclodextrin (DEX/ICD) inclusion complex-loaded hydrogels for pulp-dentin complex regeneration. The formation of the DEX/ICD inclusion complex was verified using Fourier-transformed infrared spectroscopy (FTIR) and X-ray diffraction (XRD). Pristine dexamethasone (DEX) and DEX/ICD were added to methacrylated gelatin (GelMA) hydrogels at a concentration of 1%. Pristine GelMA serves as the control. Drug-loaded hydrogels were evaluated for mechanical properties (n = 10/group), swelling and enzymatic degradation (n = 5/group), and drug release (n = 3/group). Cell proliferation, cell morphology, and mineralization assays were conducted using SHEDs. Cell proliferation was assessed on days 1, 3, and 7 using the MTS assay (n = 6/group). Cell morphology was analyzed via fluorescence microscopy using phalloidin and DAPI. A mineralization assay was performed using Alizarin Red at 14 and 21 days (n = 4/group). One-way ANOVA and Tukey's (α = 0.05) post-hoc tests were applied for statistical analysis. FTIR and XRD data confirmed the formation of the DEX/ICD complex. No statistical differences were found in mechanical properties, swelling, and degradation after incorporating DEX or DEX/ICD. DEX/ICD-loaded hydrogels consistently released dexamethasone, peaking at day 14, and maintained stability until day 21. DEX-loaded GelMA release decreased after day 7. DEX/ICD-loaded GelMA exhibited higher cell proliferation than DEX-loaded GelMA on day 7 (p < 0.05), with no statistical differences observed for days 1 and 3 (p > 0.05). The hydrogels did not compromise cell morphology. DEX/ICD-loaded GelMA significantly enhanced mineralization potential (p < 0.05). The β-CD inclusion complex optimized dexamethasone delivery, and DEX/ICD-containing GelMA enhances the proliferation and mineralization capacity of dental stem cells. DEX/ICD-loaded GelMA is a promising injectable material for halting inflammation and could potentially induce mineralized tissue formation in pulp capping strategies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.346
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes1
Has abstractyes

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