1. Introduction
This study was undertaken in response to an article published in the Journal of Drugs in Dermatology (JDD) September 2023 [
1], mainly related to the in vitro gene expression analysis segment. In that study, a three-dimensional (3D) full-thickness human skin model (EpiDermFT, MatTek Corporation, Ashland, MA, USA) was utilized with prior irradiation to simulate photodamaged skin. The test product, a topical firming and toning body lotion (FTB—SkinMedica
®, Allergan Aesthetics, an AbbVie Company, Irvine, CA, USA) and multiple comparator products were topically applied, including TransFORM Body Treatment with TriHex Technology
® (ATF—Alastin Skincare
®, a Galderma company, Fort Worth, TX, USA). The expression of various genes related to an extracellular matrix (ECM), angiogenesis, autophagy, etc.) was then measured after 24 h of incubation with the selected products using RT-PCR [
1].
The results showed only that the tested agent FTB upregulated all the reported genes, with a remarkable nonresponse or downregulation of genes across all the other eight competitors [
1]. The purpose of this study and publication is to highlight the previously reported conclusions based on data that are limited in their scope and reporting. In particular, the gene expression of peptides, small molecules, and complete formulations need multiple time points of examination in ex vivo models. This is to allow for absorption, signaling, and molecular responses to be recorded. Measurements solely at 24 h completely exclude the downstream effects that could take place in the few days following application. In addition, gene expression is only the first step in assessing actions of a formulation—examining the biologic changes, protein stimulation, and translational changes are a necessary extra step to validate the initial gene expression impressions. Countless studies have been published using ex vivo models and almost each one records data at more than one time point to allow for the changes listed above [
2,
3,
4,
5,
6].
When one product produces an isolated and unique response in a multitude of selected genes among a host of comparable products, this sets off alarm bells. Thus, we undertook this study to assess the reproducibility of the reported findings and further investigate gene upregulation at multiple time points to observe gene transcription effects. We then further validated these results by examining protein expression in an appropriate ex vivo model as the translational sequence to the gene response.
2. Materials and Methods
2.1. Ex Vivo Model and Treatments
All experiments were conducted by an independent laboratory, 3D Genomics (Carlsbad, CA, USA), using an established ex vivo model [
7]. Photodamaged skin derived from patients undergoing facelift procedures was used (study approved under Veritas Institutional Review Board—study ID # 3192). Discarded skin received within 2 h of surgery was used and processing was conducted under BSL2 laboratory conditions. The skin was washed in PBS and defatted, and the hairs were shaved using a scalpel. The skin was then cut into approximately 5 mm × 5 mm square pieces and placed into transwells suspended in six-well plates. About 2.0 ml of Skin Media (DMEM/F12 Media, Adenine (50 μM), CaCl2 (1.88 mM), T3 Tri-iodothyronine (0.02 nM), Insulin–Transferrin–Selenium–Ethanolamine (ITS-X), Antibiotic–Antimycotic/Penicillin/Streptomycin 1%, 2% Heat-Inactivated FBS, Glutagro 1%, and Gentamicin (0.01 mg/mL)) was added to each well, and about 200 μL to 300 μL was added to each transwell to surround the skin sample while maintaining an air-exposed epidermal surface. The media were changed daily. The skin in the transwell cultures was kept under standard conditions in the 37 °C 5% CO
2 incubator for about 72 h before initiating treatment. The study was conducted in 2 parts, including tissue staining and gene expression assessments. These studies aimed to replicate the in vitro parts from Makino et al.’s study in 2023 JDD using their product (FTB) compared to the Alastin body product (ATF-TransFORM).
Treatments were added each day. About 100 μL to 500 μL of each compound formulation (TransFORM and FTB) was placed on the surface of a sterile Petri plate. Skin was retrieved from the transwell culture plate and the formulation was gently applied to completely cover the epidermis and then returned to the transwell culture plate. This process was repeated daily for seven days. One set was left untreated as the baseline control. A total of 18 skin samples were processed, all from one individual. Twelve skin samples were used for the immunohistochemistry arm and six for the gene expression arm.
In contrast to the methodology described above, Makino et al. [
1] used a 3D full-thickness skin model treated with UV light. The control was treated with H
2O; FTB and TransFORM were applied topically to the other samples (15 μL) for 24 h, and RNA was harvested. The data were normalized to GAPDH. Our study used our established ex vivo model described above. The treatments were applied as described above. RNA was harvested on days 1 and 3, and the data were normalized to HPRT1.
2.2. Gene Expression Analysis
The skin samples (untreated and treated with TransFORM and FTB;
n = 2) were collected on days 1 (to compare to the Makino et al. 2023 [
1] study) and 3 (as an additional assessment). Upon removal from treatment, the tissue samples were washed in PBS and immediately stored in RNALater at −80 °C until all 18 samples were collected. RNA was prepared from each skin sample using the Qiagen RNEasy protocol. The mRNA was quantitated on the bioanalyzer.
Sybr green qPCR oligos was purchased from Integrated DNA Technologies for 12 genes (
Table 1), with the oligo sequences indicated by the human gene names. The Takara OneStep RT-PCR kit was used to determine the Ct values of the 18 RNA samples × 11 genes in a single 384-well plate for all reactions. HPRT1 was used as the housekeeping gene. The ΔΔCt method was used to quantify the gene expression after normalizing to the housekeeping gene (HPRT1).
2.3. Immunofluorescence
The treated skin samples were retrieved after 3 days and 7 days of treatment. There was a total of 6 skin samples (2 each for untreated, TransFORM, and FTB) for each time point. The retrieved skin samples were washed twice in PBS and then fixed in 10% neutral buffered formalin (“NBF”) for 24 h at 4 °C. The skin was then washed in PBS and stored in 70% ethanol. After all the samples were collected, they were paraffin-embedded and sectioned for immunostaining. The slides were stained with an anti-tropoelastin antibody (Elastin Products Co., St. Louis, MO 65066, USA). The primary antibody was detected with a fluor-conjugated secondary (anti-rabbit 647) (Jackson Immunoresearch, West Grove, PA 19390, USA). Sections were counterstained with DAPI (ThermoFisher, Waltham, MA 02454, USA) and imaged on a Zeiss Axio Observer running Zeiss Zen software Version 3.10, 339949 Singapore
3. Results
3.1. ECM Gene Expression Analysis and Comparison
At 24 h, COL1A1 expression on the models treated with FTB was very similar between our study and the previous report (~3.75-fold greater than control). However, after TransFORM treatment, we found a ~2.8-fold increase, and Makino et al. [
1]. reported that COL1A1 expression did not change with TransFORM treatment.
At day 3, we discovered that COL1A1 expression was maintained for TransFORM and diminished to the baseline for FTB-treated skin, respectively (
Figure 1A).
COL3A1 expression at 24 h after treatment with FTB and TransFORM was not different from that of the untreated group in the current study. However, Makino et al. reported a >3-fold upregulation with FTB and a downregulation with TransFORM. At day 3, we observed a slight increase with TransFORM and an evident downregulation with FTB (
Figure 1B). Makino et al. reported the COL5 upregulation of >1.5-fold and >2-fold for TransFORM and FTB, respectively, at 24 h. Our data revealed a 1.2-fold upregulation with TransFORM and a downregulation with FTB. At day 3, both treatments showed reduced gene expression compared to the control, and the downregulation with FTB was greater than at 24 h (
Figure 1C).
At 24 h, TransFORM and FTB upregulated ELN (1.8-fold and 3.1-fold, respectively) in our study. In contrast, Makino et al. demonstrated a lower level of upregulation with FTB and a downregulation with TransFORM. After 3 days, ELN was still upregulated (1.3-fold) with TransFORM, whereas it was downregulated with FTB and was similar to control (
Figure 1D).
3.2. Lymphatic Vessel and Autophagy Gene Expression Analysis and Comparison
At 24 h, VEGFC expression was downregulated with TransFORM in our study and by Makino et al. at a similar level. With FTB, Makino et al. reported an upregulation (>1.25-fold), and our results demonstrated no difference compared to the control. At day 3, TransFORM upregulated VEGFC (1.6-fold), while FTB remained unchanged compared to the control (
Figure 2A).
Makino et al. reported that at 24 h, both TransFORM and FTB upregulated ATG7 and ATG12, but the upregulation with FTB was greater for both genes (
Figure 2B,C). In contrast, ATG7 was slightly downregulated for both TransFORM and FTB (
Figure 2B), while ATG12 was upregulated by both, mirroring the Makino et al. findings (
Figure 2C). At day 3, the downregulation was potentiated for both treatments for ATG7, and the levels for ATG12 were similar for both treatments when compared to the 24 h results (
Figure 2B,C).
At 24 h, Makino et al. reported an upregulation of BECN1 with FTB and a downregulation with TransFORM. Our study revealed the opposite trend. After 3 days, BECN1 remained upregulated with TransFORM and was further downregulated with FTB (
Figure 2D).
3.3. Proteosome Gene Expression Analysis and Comparison
After 24 h with TransFORM treatment, the upregulation of POMP observed by Makino et al. and our group was similar. In contrast, with FTB, we found an upregulation of 1.3-fold, and Makino et al. reported an increase of >2.0-fold. After 3 days, the upregulation of POMP via both treatments we observed at 24 h was potentiated (
Figure 3A).
In our study, PSMB5 was unchanged with TransFORM and FTB after 24 h. In contrast, Makino et al. demonstrated a downregulation with TransFORM and an upregulation with FTB (>2-fold). After 3 days, both treatments increased the expression of PSMB5 (
Figure 3B). PSMB6 was downregulated with TransFORM in both our study and as reported by Makino et al. at 24 h. However, with FTB, we found no change compared to the control, and Makino et al. demonstrated an upregulation (>1.5-fold). After 3 days, PSMB6 was slightly upregulated with TransFORM and exponentially downregulated with FTB (
Figure 3C).
3.4. Ex Vivo Translational Results
On day 3, both TransFORM and FTB showed enhanced elastin in the papillary dermis. However, TransFORM showed elastin fibers extending into the dermoepidermal junction (DEJ). The gap in the DEJ in the nontreated skin is similar to the gap after treatment with FTB (
Figure 4), whereas the sample treated with TransFORM shows a more intact and tighter DEJ.
On day 7, both TransFORM and FTB showed enhanced elastin staining in the papillary dermis, slightly denser than on day 3. For FTB, the gap in the DEJ remained. For TransFORM, elastin fibers were in the DEJ as on day 3, and there was an enhanced cellular accumulation in the dermis, likely a fibroblast cellular proliferative response. In addition, very significant DEJ undulation was apparent only in the TransFORM group, indicating healthy rejuvenation of the area (
Figure 5).
4. Discussion
Gene transcription studies in ex vivo models need to be carefully designed to not favor one comparator over another. Some questions, among others, are as follows: Has the study agent been optimized to suit this particular model? Have sufficient time points been selected to account for differing modes of action of different formulations? Are the absorption parameters of the model adequate to test all comparators?
To avoid these pitfalls, we selected an ex vivo model that already comprises photodamaged skin (face-lift patients), obviating the need to use acute UV stress exposure in non-sun-damaged (abdominal skin) models. The acute UV light exposure model differs from chronic sun damage and exposes formulations to unique stressors not necessarily relatable to normal physiological situations.
It is imperative to re-examine the study’s model and design when only one agent out of many other comparators appears to succeed in upregulating multiple genes. This suggests parameters within the design that favor that test agent. This study bears out this suggestion, and we have demonstrated that almost all reported results differed when examined at multiple time points in a more physiologically matched ex vivo model.
In this study, the gene expression studies were selected or ‘superselected’ in accordance with those chosen by authors of the previous paper [
1]. We excluded many other possible gene differentiators that may have favored TransFORM over FTB and merely recapitulated those reported in the previous study. It is apparent that by measuring the gene expressions at two time points, day 1 and day 3, a more comprehensive picture is obtained. It is also evident that the 3-day time point dramatically alters the comparison picture with TransFORM in the cases of collagen, elastin, VEGFC, and many autophagic genes, outperforming FTB in most cases. This was not reflected in the previous study, and thus, false conclusions were drawn. This situation of single time points is not new, and we have had to previously dispute similar single time points used as comparators with similar incorrect conclusions drawn from those studies [
8].
To further elucidate the formulation’s activity, longer-term ex vivo histological analyses were carried out to determine the translational component of the gene upregulation. Tropoelastin staining was carried out to assess the stimulation of this protein, a vital component of a body product expected to aid in skin tightening. It is evident that although both products stimulated elastin, TransFORM promotes elastin to inhabit the DEJ at day 3, filling this gap far more efficiently than FTB. On day 7, the pattern was maintained with increased rete peg folding and an increased fibroblast presence (DAPI stain) in the dermis, representing a more regenerative ECM milieu.
In the photodamaged control model, the DEJ demonstrates a flattened and irregular morphology characterized by the retractions of the rete pegs or epidermal undulations, indicative of aged skin. Conversely, in the skin ex vivo model treated with TransFORM, alterations at the DEJ level became notably accentuated by day 7, with the undulations showing early signs of becoming more prominent. The rete pegs are essential for enhancing the mechanical characteristics of the skin and preserving homeostasis [
9,
10]. This observation coincides with a discernible increase in DAPI and tropoelastin staining, indicative of heightened cellular regeneration and proliferation processes.
Contrary to the observed trends in the skin ex vivo model treated with TransFORM, the skin ex vivo model treated with FTB presents a departure from these changes. Instead, after FTB treatment, the tissue exhibited a flattened DEJ morphology, accompanied by a thinning of the epidermal layer and a notable reduction in DAPI staining intensity by day 7.
5. Conclusions
It behooves us as scientists to methodically question results that appear to be significantly slanted in one direction. In this study, we repeated gene expression analysis in previously selected genes and followed this with an ex vivo analysis of histological changes comparing two formulations. It is apparent that by adding extra examination points and re-examining the data, the previously published study is questionable in its conclusions. In the current model, the TransFORM body product outperformed FTB in almost all parameters measured, both from a gene expression standpoint and based on the histological changes observed in an appropriate ex vivo model.
Author Contributions
Conceptualization, A.D.W. and M.E.Z.; methodology, A.D.W. and M.E.Z.; validation, M.E.Z.; formal analysis, M.E.Z.; data curation, A.D.W. and M.E.Z.; writing—original draft preparation, A.D.W., M.E.Z. and F.S.; writing—review and editing, F.S.; supervision, A.D.W.; project administration, A.D.W. and F.S.; funding acquisition, A.D.W. and F.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Alastin Skincare 2024, a Galderma company.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of Veritas Institutional Review Board study (protocol code 3192 initial approval date 20 February 2023).
Informed Consent Statement
Not applicable.
Data Availability Statement
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author/s.
Conflicts of Interest
All authors are employees of Galderma. However, these studies were carried out by 3D Genomics (Carlsbad, CA, USA), an independent company.
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