Daily Cosmetic Research Analysis
Analyzed 47 papers and selected 3 impactful papers.
Summary
Analyzed 47 papers and selected 3 impactful articles.
Selected Articles
1. Development of an ex vivo skin model for quantitative recovery and preservation of donor-specific human microbiota.
Using perfused human skin explants, the Perfex model transfers and preserves donor-specific skin microbiota over 48 hours without significant loss of diversity or cross-contamination, while maintaining tissue architecture. It enables controlled host–microbiota studies and preclinical testing of microbiome-targeted dermo-cosmetic interventions.
Impact: This is a methodological advance that bridges a critical gap between simple in vitro systems and in vivo skin, enabling donor-specific and spatially relevant microbiome studies for dermo-cosmetic development.
Clinical Implications: While preclinical, this platform can de-risk translational pipelines by screening microbiome-modulating topicals under human-relevant conditions and may support personalized dermo-cosmetic strategies based on donor-specific microbial signatures.
Key Findings
- Donor-specific microbiota signatures were preserved on perfused human skin explants for 48 hours with no significant alpha-diversity changes.
- Clustering and Bray–Curtis beta-diversity analyses maintained donor grouping, indicating minimal cross-contamination.
- Tissue architecture remained intact and innate immune markers were modulated, supporting physiological relevance.
Methodological Strengths
- Use of perfused human skin explants preserving tissue viability and architecture
- Paired donor-to-explant transfer with qPCR and 16S rRNA sequencing, plus histology and immunostaining
Limitations
- Short culture duration (48 hours) limits assessment of long-term stability
- Number of donors was small, potentially limiting generalizability
Future Directions: Extend culture duration, expand donor numbers and skin sites, and use the model to test interventions (e.g., prebiotics/probiotics, preservatives) with readouts spanning barrier function, immune tone, and spatial microbiota organization.
BACKGROUND: Through multi-omics approaches, our understanding of skin microbiota has substantially advanced. However, the development of reliable and physiologically relevant experimental models would greatly accelerate progress in microbiome-targeted science. Most investigations of skin microbiota rely on in vitro 2D models or reconstructed epidermis colonized with a limited number of strains, which do not reflect the complexity and the spatial microbial organization observed on in vivo skin. To overcome these limitations, we developed a model based on perfused human skin explants (Perfex model), that enables the transfer of complex bacterial communities from human volunteers onto ex vivo skin. RESULTS: After quantitative validation of recovered microbial DNA by qPCR from volunteers (V1-V2-V3) and corresponding inoculated explants (MV1-MV3), 16S rRNA gene sequencing was performed to assess whether microbiota transfer influenced community structure and diversity. No statistically significant differences in alpha-diversity were observed between original and transferred microbiota at the genus level, suggesting that the transfer procedure did not substantially alter overall community diversity. Clustering analysis revealed distinct grouping of samples according to donor origin, indicating that donor-specific microbial signatures were largely maintained on the explants after 48 hours. Control samples formed separate clusters, suggesting minimal background signal and supporting the absence of cross-contamination. These observations indicate that the model enables clear discrimination between the endogenous microbiota of the explants and the transferred microbiota, supporting the integrity of the experimental conditions. Beta-diversity analysis based on Bray-Curtis supported these findings. Across samples, microbial communities were characterized by the recurrent presence of common skin-associated genera such as Cutibacterium, Staphylococcus, and Corynebacterium. Histological analyses demonstrated preserved tissue architecture, while immunostaining revealed modulation of selected innate immune markers consistent with a localized skin response to microbial transfer. CONCLUSIONS: The Perfex model enables transfer of donor-specific skin microbiota to ex vivo human skin while preserving tissue integrity over short-term culture. This model provides a human-relevant platform for studying host-microbiota interactions under controlled conditions and for preclinical evaluation of microbiome-targeted therapies and dermo-cosmetic treatments.
2. Preexisting Depression or Anxiety is Associated with Increased Wound Complications Following Breast Reduction Surgery: A Real-World Cohort Study.
In a propensity-matched cohort of 31,692 women undergoing breast reduction, preexisting anxiety/depression was associated with significantly higher risks of early wound complications, infections, opioid use, hospitalization, and readmission, with effects persisting up to one year. Findings underscore the need for perioperative mental health assessment and tailored risk mitigation.
Impact: Large-scale, real-world evidence with rigorous matching quantifies a modifiable, non-surgical risk domain in aesthetic breast surgery, informing preoperative screening and counseling.
Clinical Implications: Incorporate routine screening for anxiety/depression, consider prehabilitation (psychological support, expectation management), and enhance postoperative monitoring and infection prevention in high-risk patients to reduce complications and readmissions.
Key Findings
- After 1:1 propensity score matching (15,846 per cohort), preexisting anxiety/depression increased 30-day risks of seroma (RR 1.895), hematoma (RR 1.508), wound dehiscence (RR 1.33), and surgical site infection (RR 1.495).
- Higher postoperative opioid use (RR 1.291), hospitalization (RR 1.77), and readmission (RR 1.857) were observed in the anxiety/depression cohort.
- Risk elevation persisted at 60 and 90 days and was consistent at 1 year, indicating durable impact.
Methodological Strengths
- Large real-world dataset with 1:1 propensity score matching to balance baseline characteristics
- Multiple postoperative timepoints (30/60/90 days and 1 year) for durability assessment
Limitations
- Retrospective design subject to residual confounding and coding biases
- Lack of granular variables (e.g., resection weight, smoking status, perioperative antibiotics) may affect risk estimates
Future Directions: Prospective studies to test whether preoperative mental health interventions reduce complications; integrate psychosocial metrics into surgical risk calculators; explore mechanisms linking psych disorders to wound biology.
BACKGROUND: Breast reduction surgery is the primary treatment for macromastia, yet the impact of preexisting anxiety and depressive disorders (ADD) in candidates for this procedure has not been thoroughly investigated. This study aimed to evaluate the association between preexisting ADD and the incidence of both short-term and long-term complications after breast reduction surgery. METHODS: This retrospective cohort study used data obtained from the TriNetX Global Collaborative Network to identify female patients over 18 years who had breast reduction. These patients were divided into two cohorts based on the presence or absence of ADD diagnosis. To reduce baseline differences and balance characteristics of the cohorts, we applied a propensity score matching. The primary objectives were short postoperative complications at 30, 60, and 90 days. Secondary objectives were long-term complications after 1 year. RESULTS: Each cohort included 15,846 patients after 1:1 PSM analysis. Thirty days after surgery, patients with preexisting ADD were associated with significantly higher risks of seroma (Relative Risk [RR] 1.895, CI 1.43-2.5); hematoma (RR 1.508, CI 1.2-1.88); wound dehiscence (RR 1.33, CI 1.12-1.57); surgical site infection (RR 1.495, CI 1.24-1.79); postoperative opioid use (RR 1.291, CI 1.25-1.34); inpatient hospitalization (RR 1.77, CI 1.505-2.101); readmission (RR 1.857, CI 1.46-2.35); and any surgical site complications (RR 1.358, CI 1.23-1.50) compared to the control cohort. These findings persisted after 60 and 90 days of surgery. Comparable results were noted for long-term outcomes within 1 year of surgery. CONCLUSION: Patients with preexisting anxiety or depression disorders demonstrated higher rates of short-term postoperative outcomes after breast reduction procedure. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
3. Artificial Intelligence-assisted Multimodal Quantification of Facial Pore Reduction After Microneedling With Adipose-derived Stem Cell Exosomes.
In 30 subjects treated with three microneedling sessions plus topical adipose-derived stem cell exosomes, a triad of 3D imaging, surface roughness mapping, and AI segmentation consistently detected improvements in pore metrics and skin texture across facial regions. The study establishes a practical, objective framework for outcome quantification in aesthetic dermatology.
Impact: Introduces a multimodal, AI-enabled measurement pipeline that addresses a key evidence gap—objective, reproducible pore outcome assessment—potentially standardizing evaluation across studies and products.
Clinical Implications: Clinicians can adopt standardized imaging and AI segmentation to objectively track pore and texture changes, improving patient counseling and comparative effectiveness assessments; however, controlled trials are needed to isolate ASCE+ contribution beyond microneedling.
Key Findings
- A three-platform analytic pipeline (3D imaging, roughness mapping, AI segmentation) consistently detected pore and texture improvements after three ASCE+-assisted microneedling sessions.
- Standardized acquisition (LifeViz Mini) enabled region-specific pore scoring across six facial zones.
- Demonstrated feasibility of AI-assisted, reproducible outcome quantification in aesthetic dermatology.
Methodological Strengths
- Triangulation of outcomes using three independent analytic modalities
- Standardized, controlled imaging workflow enhancing reproducibility
Limitations
- Single-arm study without a microneedling-alone or placebo control
- Sample size of 30 and short-term evaluation limit generalizability and durability assessment
Future Directions: Randomized controlled trials comparing ASCE+ versus microneedling alone with longer follow-up; validation of AI metrics across devices and skin phototypes; inclusion of patient-reported outcomes.
BACKGROUND: Enlarged facial pores are a common cosmetic concern, exacerbated by age-related collagen degradation and sebaceous hyperactivity. Despite clinical demand, objective quantification methods for pore improvement remain limited. This study used 3 independent analytical platforms-QuantifiCare 3-dimensional (3D) imaging, Gwyddion-based surface roughness analysis, and artificial intelligence (AI)-assisted image segmentation-to evaluate the efficacy of microneedling combined with adipose-derived stem cell exosome (ASCE+) therapy. METHODS: Thirty subjects underwent 3 sessions of microneedling with topical ASCE+ application. Standardized high-resolution facial images were obtained via the LifeViz Mini system under controlled lighting and positioning. QuantifiCare software generated regional pore scores across 6 facial zones. Gwyddion software quantified 3D surface roughness ( RESULTS: QuantifiCare pore scores significantly increased across all regions ( CONCLUSIONS: This is the first study to integrate 3D imaging, roughness mapping, and AI segmentation for pore analysis after microneedling and exosome therapy. The combined modality demonstrates significant improvement in pore architecture and skin texture, highlighting its utility in aesthetic dermatology.