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Record W4319599460 · doi:10.1111/srt.13253

Fractional radiofrequency‐assisted delivery of fluorescent tracer dyes in ex vivo and in vivo skin: A proof‐of‐concept investigation using confocal microscopy

2023· letter· en· W4319599460 on OpenAlexaboutno aff
Gabriela Lladó Grove, Rikke Louise Christensen, Merete Hædersdal, Vinzent Kevin Ortner

Bibliographic record

VenueSkin Research and Technology · 2023
Typeletter
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsEx vivoBiomedical engineeringIn vivoMaterials scienceChemistryBiophysicsMedicine

Abstract

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Energy-based device-assisted drug delivery is a growing trend in dermatology, building on the concept of laser-assisted drug delivery to achieve enhanced passive diffusion of topically applied compounds through laser channels.1, 2 Much like an ablative fractional laser, fractional radiofrequency (FRF) creates grids of microthermal zones (MTZ) consisting of ablative craters surrounded by coagulation zones.2, 3 FRF-devices have been successfully used in the treatment of various skin conditions including scars, rhytids, and hyperpigmentation.4-6 In this descriptive proof-of-concept investigation, we sought to visualize FRF-induced tissue interactions and provide the first pre-clinical findings on FRF-assisted delivery of fluorescent tracer dyes in skin. The experimental study set-up included ex vivo porcine skin and healthy in vivo human skin. A commercially available FRF-device, Venus VivaMD (Venus Concept Inc, Toronto, Canada), was used. For both the ex vivo and the in vivo models, the device's maximal combined ablation and coagulation (271 V, 30 ms) settings were used with its standard high-energy applicator tip (80-pin tip; 124 mJ/pin). For ex vivo interventions, nine skin sites were examined. Immediately after FRF-treatment, the treated skin (n = 6) and the untreated control skin (n = 3) samples were placed in a Franz-cell setup (PermeGear Inc.). The setup consisted of a receiver chamber with 5.5 ml phosphate buffered saline (PBS), a donor chamber with 0.5 ml solution containing ATTO-647N, a fluorescent dye (carboxylic acid, λex = 646 nm, λem = 664 nm; ATTO-TEC), and distilled water (0.05% dimethyl sulfoxide) to a 10 μM concentration. After 20 hours incubation, 8 mm punch biopsies for 100 μm vertical cryosections were mounted on a bimodal ex vivo confocal microscope (EVCM; Vivascope2500, MAVIG GmbH) for combined reflectance (RCM, λem = 638 nm) and fluorescence microscopy (FCM, λem = 638 nm for ATTO-647N). For improved visualization of FRF-tissue interactions, acridine orange (AO) was applied for digital HE-staining (RCM: 638 nm, AO-FCM: 488 nm).7 In the experimental investigation of in vivo human skin, after informed consent, 30 skin sites were examined, including incubated FRF-treated (n = 19) and untreated control (n = 7) samples, as well as nonincubated FRF-treated autofluorescence controls (n = 4). Incubation was performed with an aqueous sodium fluorescein (NaFl, Combiflure, MW = 376.27 Da, 300 μl) solution for 2.5 hours in a customized skin-adhesive well of occlusive dressing (Tegaderm [3M], Duoderm [ConvaTec]). We employed an in vivo RCM-FCM (488-nm fluorescence, 785-nm reflectance) device (Vivascope Multilaser 1500, MAVIG GmbH) and collected stacks of horizontal images (VivaStack). Morphologic changes and local skin reactions (LSRs) were described qualitatively. Fiji Image J was used for qualitative description of FRF-tissue interactions and quantitation of fluorescence signal intensity (FI) in images of in vivo skin. Average FI per field view (500 × 500 μm) in each test area was measured per stack, consisting of 20 slices of 3 μm each, corresponding to a total depth of 60 μm. Statistics were performed in SPSS Statistics version 25 (IBM Corp.) for describing the FI (arbitrary units, AU). In the ex vivo porcine skin, subclinical FRF-tissue interactions were visualized by EVCM. Digitally-stained cross-sectional EVCM-images showed surface indentations and a slight increase in hyperreflectivity corresponding to a stronger digital Eosin signal. Focally enhanced uptake of ATTO-647N in FRF-treated sites was visible as pockets of increased FI in the epidermis and upper dermis (Figure 1). In control images, ATTO-647N signal appeared as a homogeneous layer, strictly confined to stratum corneum and epidermis. In in vivo human skin, we observed an immediate clinical response in all FRF-treated sites, and LSRs within the treatment areas were visible indentations as an MTZ-grid pattern and mild transient erythema and edema (Figure 1). In RCM images, FRF-tissue interactions appeared as cuboidal-to-cylindrical, hyporeflective surface indentations with sharply demarcated hyperreflective rim, similar to ablative laser-induced MTZ with a central ablation zone surrounded by a coagulation zone.7 Increased peak signal intensity in the coagulation zone surrounding the signal-free ablation zone was visualized together with a characteristic distribution of NaFI, progressively decreasing with depth. The mean NaFl signal intensity across all image stacks of FRF-treated skin was 30.5 AU, which was significantly higher (p < 0.01) than the mean FI of 8.4 AU in the intact skin, equivalent to an FI-increase of 263% with FRF-treatment. No significant autofluorescence in the treated, nonincubated sites was detected. This is the first proof-of-concept report of experimental FRF-assisted delivery of fluorescent tracer dyes into skin, using combined RCM-FCM. Enhanced uptake of two different fluorescence tracer dyes was visualized in all treated sites in both the ex vivo porcine skin and in vivo human skin models. These findings unfold the possibility to expand energy-based device-assisted drug delivery to also include FRF in a clinical setting. Additional studies assessing the vehicle compatibility, optimal settings, and clinical safety and efficacy are warranted before clinical implementation of FRF-assisted drug delivery. Furthermore, comparative studies of FRF and other energy-based devices for assisted drug delivery should be conducted in order to establish the optimal implementation of FRF in the field. In conclusion, our imaging investigation showed the impact of FRF-induced skin barrier disruption on the locally enhanced penetration of topically applied compounds. The authors would like to thank Uffe Olesen, Peter Philipsen, and Venus Concept Inc. for their assistance in this study. MH has received equipment and research grant from Venus Concept Inc. Other authors have no conflict of interest to declare. Informed consent was obtained. The data that support the findings of this study are available from the corresponding author upon reasonable request.

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 categoriesScience and technology studies, Research integrity
Consensus categoriesResearch integrity
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 score0.469
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
Bibliometrics0.0030.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.073
GPT teacher head0.374
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

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".

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Citations2
Published2023
Admission routes1
Has abstractyes

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