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Record W4413778207 · doi:10.1097/dss.0000000000004804

A Histological Study of a Novel Pneumatic-Mechanical Microneedle-Assisted Topical Cutaneous Delivery System

2025· article· en· W4413778207 on OpenAlexaff
Jessica Parmar, Payam Abrishami, Mathew Mosher, Douglas C. Wu

Bibliographic record

VenueDermatologic Surgery · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsMedicineDelivery systemDermatologyBiomedical engineeringSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Device-assisted drug delivery (DADD) involves a device modality that facilitates the penetration of topical substances across the intact stratum corneum barrier. OBJECTIVE: This study analyzes the efficacy of a novel pneumatic-mechanical microneedle tip technology ("fusion tip") in assisting the transcutaneous delivery of fibroblast-stimulating substances including small particle hyaluronic acid (SPHA), large particle hyaluronic acid (LPHA), calcium hydroxylapatite (CaHA), and poly-L-lactic acid (PLLA). METHODS MATERIALS: The subject was a 34-year-old otherwise healthy woman. Subject abdominal skin preplanned for subsequent abdominoplasty was treated with pneumatic-mechanical and sham control tips in test spots to topically deliver liquid SPHA, LPHA, CaHA, and PLLA at 0.5 and 2.5 mm treatment depths. Immediately after and 1 week post-treatment, 3 mm punch biopsies were obtained for histological analysis. RESULTS: All substances showed demonstrable drug delivery with both tips except LPHA. Deeper needle depths improved delivery. The pneumatic-mechanical tip enhanced delivery of SPHA and PLLA both immediately postprocedure and at the 7-day follow-up. Calcium hydroxylapatite delivery was similar between the 2 tips, other than increased delivery at 0.5 mm depth immediately postprocedure with the pneumatic-mechanical tip. CONCLUSION: Microneedling is an effective method of DADD, with the pneumatic-mechanical tip improving delivery for most test substances.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.131
GPT teacher head0.391
Teacher spread0.261 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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