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Record W4407424045 · doi:10.1021/acsabm.4c01452

Poloxamer 407-Based Hydrogels Containing Rutin Increase the In Vitro and In Vivo Wound Healing Phenomena

2025· article· en· W4407424045 on OpenAlexaff
Elena Giuliano, Agnese Gagliardi, Anam Farhan, Silvia Voci, Nicola Costa, Stefania Bulotta, Vincenzo Mollace, Ernesto Palma, Muhammad Majid, Donato Cosco

Bibliographic record

VenueACS Applied Bio Materials · 2025
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsCentre for Drug Research and Development
FundersMinistero dell'Università e della Ricerca
KeywordsWound healingSelf-healing hydrogelsIn vivoPoloxamerRutinIn vitroChemistryPoloxamer 407PharmacologyMedicineBiochemistryBiologySurgeryPolymer chemistryBiotechnologyCopolymerPolymer

Abstract

fetched live from OpenAlex

Rutin is a flavonoid glycoside found in many plants, known for its various pharmacological properties. However, its therapeutic potential is limited by its low water solubility, which restricts its bioavailability. Poloxamer 407 (P407) is a multifunctional excipient, which has proven effective in delivering poorly water-soluble drugs and promoting the healing process. Based on this information, this study investigates the wound healing potential of rutin-loaded P407 hydrogels, as an innovative pharmaceutical formulation. In vitro scratch assays on human keratinocytes revealed that combining rutin with P407 significantly enhances cell proliferation as compared to the single components. Moreover, the proposed hydrogel improved wound healing more effectively in rats than the free drug or the commercial wound dressing DuoDERM. Histological analyses confirmed that the formulation increased epithelialization and collagen synthesis in injured epidermises. These findings provide a strong rationale for the use of rutin-loaded P407 hydrogels for the treatment of skin injuries.

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: Observational · Consensus signal: none
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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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 designObservational
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

Citations7
Published2025
Admission routes1
Has abstractyes

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