Sun Gyoo Park’s research while affiliated with LG Household & healthcare and other places

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Publications (64)


Skin color distribution of participants
a Three-dimensional distribution of quantitatively assessed skin color indices in the CIE LAB color space. Each dot corresponds to a study participant and its color represents the measured skin color for that person. The diagonal plane represents the regression plane for “L* ~ a* + b*”. b Distribution of L* (top), a* (middle), and b* (bottom). Histogram shows the frequency of each skin color trait, and dotted line represents the cumulative density. c Distribution of categorical skin color classified by individual typology angle (ITA°) value: ITA° = [ArcTan((L* − 50)/b*)] × (180/π). Each dot corresponds to a study participant and its color represents an average value of the measured skin color of both cheek areas for that person. Blue dotted line represents a horizontal line at L* = 50 and black dashed line represents the ITA° cutoff for categorical skin color.
GWAS of skin color traits with colocalization results and SNP-based heritability
a Manhattan plot with −log10 (P) is presented for CIE LAB values of skin color, and genes colocalized in skin tissues are presented below the Manhattan plot. P-values were estimated using a two-sided score test in BOLT-LMM. The red horizontal line corresponds to the genome-wide significance threshold (P = 5 × 10⁻⁸). Genes in green and purple represent previously reported and unreported loci, respectively. Green dots indicate significant loci in at least one GWAS. Boxes in yellow, red, and blue represent significant loci of L*, a*, and b*, respectively; solid boxes indicate genome-wide significant loci and boxes with colored borderlines indicate nominally significant loci (P < 2.17 × 10⁻³, Bonferroni’s correction for 23 significant loci). For the boxes above colocalized genes, solid boxes indicate that a gene was colocalized (PP.H4 > 0.8) with GWAS of the color-corresponding phenotype. b Incremental R² value, defined as the increase in adjusted R² from the linear regression model relative to that from the model with covariates only. The incremental R² of lead SNPs on previously reported loci and on all identified loci are left and right for each trait, respectively. c SNP-based heritability by age group. For each skin color trait, SNP-based heritability of “young age” (<37 years, N = 11,369), “middle age” (37–49 years, N = 17,011), and “old age” (>49 years, N = 14,390) groups are described in order from left to right. Error bars indicate standard errors (SNP-based heritability estimates ± standard error).
Single-cell level gene expression patterns of CIE LAB values-associated genes
a UMAP plot is shown for cell type identification. Cell types are identified with expression patterns of well-known cell type markers. Each color represents a cell type. b UMAP plot shows the overall expression patterns of CIE LAB-associated genes. Each cell is colored according to the average scaled expression of CIE LAB values-associated genes. c Dot plot of gene expression in cell types and additional evidence of each gene from the GWAS. Genes in purple represent those in previously unreported loci. The color of the circular dot represents the scaled average expression of each gene across cell types and size of the circular dot represents the percentage of cells expressing each gene within a particular cell type. Rhombic dots in yellow, red, and blue represent genes containing nonsynonymous variants associated with skin color, genes colocalized in skin tissue, or tissues other than skin, respectively. Abbreviations: Keratinocytes Diff. differentiated keratinocytes, Keratinocytes Undiff. undifferentiated keratinocytes, EC endothelial cells.
Signals of polygenic adaptation for L* across the 1000 Genomes Project phase 3 populations
a Distribution of the estimated genetic score for L* across the 1000 Genomes Project populations and results for polygenic adaptation based on the current GWAS (top) and the UK Biobank European GWAS (bottom). A test statistic for overdispersion of genetic scores (Qx) and P-values are presented at the top of each plot (two-sided). b Estimated genetic scores for L* based on the current GWAS are plotted against environmental factors: the absolute latitude of each population (left) and annual solar radiation (right). The regression lines (dashed lines) show the linearity between the genetic score (y-axis) and environmental factors (x-axis). Spearman’s correlation (rs) and P-values are presented at the top of each plot. The P-value of Spearman’s correlation coefficient was estimated using a two-sided test under the null distribution of all possible permutations. Abbreviations: AFR African, AMR admixed American, EAS East Asian, EUR European, SAS South Asian, ACB African Caribbean in Barbados, ASW African Ancestry in Southwest USA, ESN Esan in Nigeria, GWD Gambian in Western Division, Mandinka, LWK Luhya in Webuye, Kenya, MSL Mende in Sierra Leone, YRI Yoruba in Ibadan, Nigeria, CLM Colombian in Medellín, Colombia, MXL Mexican Ancestry in Los Angeles, CA, USA, PEL Peruvian in Lima, Peru, PUR Puerto Rican in Puerto Rico, CDX Chinese Dai in Xishuangbanna, China, CHB Han Chinese in Beijing, China, CHS Southern Han Chinese, China, JPT Japanese in Tokyo, Japan, KHV Kinh in Ho Chi Minh City, Vietnam, KOR Korean in the current study, CEU Utah residents with ancestry from Northern and Western Europe, FIN Finnish in Finland, GBR, British from England and Scotland, IBS Iberian Populations in Spain, TSI Toscani in Italy, UKBB European in the UK Biobank, BEB Bengali in Bangladesh, GIH Gujarati Indians in Houston, Texas, USA, ITU Indian Telugu in the UK, PJL Punjabi in Lahore, Pakistan, STU Sri Lankan Tamil in the UK.
Comparison of lead variants for L* and polygenic score performance with the UK Biobank
a Comparison of lead variants for L* from the current GWAS with the UK Biobank European GWAS (top left) and East Asian GWAS (top right), and comparison of lead variants for light skin from the UK Biobank European GWAS with the current GWAS (bottom left) and UK Biobank East Asian GWAS (bottom right). Dots in red, yellow, and gray represent genome-wide significant (P < 5 × 10⁻⁸), nominally significant (P < 2.17 × 10⁻³, Bonferroni’s correction for 23 significant loci), and non-significant variants in the compared GWASs, respectively. Dots in black represent variants without results in the compared GWASs and are plotted along the x-axis. Colocalized genes in skin tissues are marked with an asterisk. Spearman’s correlation (rs) between effect sizes (β) of variants without black dots is presented at the top of each plot. b Distribution of polygenic score in the UK Biobank East Asian sample. The polygenic scores were calculated with weights from the current GWAS (top) and the UK Biobank European GWAS (bottom). For each decile or quartile of the polygenic score distribution, the proportion of participants who answered dark, intermediate, and light skin color is presented in order from left to right. Spearman’s correlation (rs) between the residual of polygenic score (adjusted for age, sex, and the first 10 PCs) and skin color and P-values are presented at the top of each plot. The P-value of Spearman’s correlation coefficient was estimated using a two-sided test under the null distribution of all possible permutations.

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Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color
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June 2024

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142 Reads

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4 Citations

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Dan Say Kim

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Evidence for adaptation of human skin color to regional ultraviolet radiation suggests shared and distinct genetic variants across populations. However, skin color evolution and genetics in East Asians are understudied. We quantified skin color in 48,433 East Asians using image analysis and identified associated genetic variants and potential causal genes for skin color as well as their polygenic interplay with sun exposure. This genome-wide association study (GWAS) identified 12 known and 11 previously unreported loci and SNP-based heritability was 23–24%. Potential causal genes were determined through the identification of nonsynonymous variants, colocalization with gene expression in skin tissues, and expression levels in melanocytes. Genomic loci associated with pigmentation in East Asians substantially diverged from European populations, and we detected signatures of polygenic adaptation. This large GWAS for objectively quantified skin color in an East Asian population improves understanding of the genetic architecture and polygenic adaptation of skin color and prioritizes potential causal genes.

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The Clean Beauty Trend Among Millennial and Generation Z Consumers: Assessing the Safety, Ethicality, and Sustainability Attributes of Cosmetic Products

May 2024

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4,303 Reads

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6 Citations

The concept of clean beauty lacks a precise definition and its defining attributes remain unclear. This study assesses the impact of clean beauty on Millennial and Generation Z consumers, identifies its main attributes, and provides a new index for determining products’cleanness. To this end, 120 Korean participants were recruited; they used 10 cosmetic products and completed relevant questionnaires. Clean beauty awareness and product satisfaction were assessed from the cognitive and emotional perspectives. The Reliable Cleanness Score (RCS) was calculated using emotional product satisfaction. Participants’ preference for clean beauty products was correlated with engaged cosmetic shopping behaviors. The key clean beauty attributes were sustainability, safety, and ethicality—in that order. Machine learning-based regression analysis showed that objective and subjective data could be used to calculate the RCS, resulting in an R² value of .721. With the results of this study, manufacturers, retailers, and consumers will be able to predict RCS.


Novel human skin surface antimicrobial peptide quantification method using a skin patch test chamber: A pilot study

July 2022

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23 Reads

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2 Citations

Introduction: Antimicrobial peptides (AMPs) on the skin surface are related to the innate immunity of the skin in preventing external infection. Skin rinsing and tape stripping (TS) are acceptable methods for analyzing AMPs on the skin surface but have limitations, such as causing skin damage. In this study, we proposed a non-invasive method to measure AMPs on the skin surface with minimal skin damage. Methods: Using the patch test assay, we aimed to analyze the skin surface human β-defensin (hBDs) levels without damaging the skin barrier. The concentrations of hBDs on the skin surface were evaluated through the skin patch testing of 13 healthy subjects, and hBD-1 concentrations were compared with those obtained using the TS method in this proof-of-concept study. In addition, changes in skin physiology and concentration of hBDs under 1% sodium lauryl sulfate stimulation were monitored in 14 healthy subjects (8 young and 6 elderly subjects) for 150 h. Results: The correlation between the two methods had a Pearson's coefficient of 0.640, and skin patch analysis led to a relatively less impaired barrier with no significant increase in transepidermal water loss after analysis. Age-specific comparisons suggested that higher skin surface hBD-2 concentrations were present in the young group as compared with the elderly group. Skin surface expression of hBD-2 after skin barrier disruption was also higher in the young group. Conclusion: Our findings show that skin patch analysis is a convenient method to analyze hBDs on the skin surface. hBDs are factors of innate immunity that can be used as an index to predict a decreased chemical immune response of skin due to aging.



Genome-wide association study identifies multiple genetic loci for skin color in Korean women

October 2021

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75 Reads

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13 Citations

Journal of Investigative Dermatology

Human skin color is largely determined by genetic factors. Recent genome-wide association studies (GWAS) have reported several genetic variants associated with skin color, mostly in European and African populations. In this study, we performed GWAS in 17,019 Korean women to identify genetic variants associated with facial skin color, quantitatively measured as CIELAB color index. We identified variants in three, one, and six genomic loci associated with facial skin color index L*, a*, and b* values, respectively, and replicated the associations (combined analysis P-value < 5.0 × 10-8). The significant loci included variants in known genes (OCA2 rs74653330, BNC2 rs16935073, rs72620727 near KITLG, and SLC6A17 rs6689641) and to our knowledge previously unreported genes (SCARB1 rs10846744, SYN2 rs12629034, and LINC00486 rs6543678). This is GWAS to elucidate genetic variants of facial skin color in a Korean female population. Further functional characterizations of the investigated genes are warranted to elucidate their contribution to skin pigmentation-related traits.


Comparison of skin microbiome composition following use of the skincare product. (a) The number of observed OTUs. (b) Shannon diversity index. Relative abundance of bacteria at (c) order level and (d) genus level. Relative abundance of (e) Cutibacterium and (f) Staphylococcus in skin sample. *p < 0.05, **p < 0.01, ***p < 0.005
Changes to the bacterial network after use of the skincare product. (a) Bacterial co‐occurrence network. The size of each node is proportional to the relative abundance, node color represents bacterial module identity, and edge color indicates Spearman's correlation coefficient. (b) Correlation heatmap showing co‐occurrence patterns between bacteria
Comparison of skin biophysical parameters measured on the cheek. (a) Hydration level. (b) Texture level. (c) Sebum amount. (d) pH. **p < 0.01, ***p < 0.005
Dissimilarity of skin microbiota. (a) Canonical correspondence analysis (CCA) plot of skin microbiota. The points and arrows indicate each sample and skin biophysical parameters, respectively. (b) Clustering dendrogram of microbiota based on the Bray‐Curtis distance
Correlation between skin microbiota and skin biophysical parameters. (a) Order level. (b) Genus level. Node colors in each network correspond to (a) phylum and (b) order level. Edge colors indicate Spearman's correlation coefficient
Effect of the skincare product on facial skin microbial structure and biophysical parameters: A pilot study

October 2021

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335 Reads

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21 Citations

The daily use of skincare products affects both the facial skin microbial structure and its biophysical properties. Based on the canonical correspondence analysis plot, after the use of a skincare product, the skin microbiomes were significantly separated from the initial skin microbiome. Moreover, the study showed a significant correlation between skin microbial community and skin biophysical parameters such as skin hydration and texture, suggesting a relationship between these factors. Abstract Daily use of cosmetics is known to affect the skin microbiome. This study aimed to determine the bacterial community structure and skin biophysical parameters following the daily application of a skincare product on the face. Twenty-five Korean women, who used the same skincare product for four weeks participated in the study. During this period, skin hydration, texture, sebum content, and pH were measured, and skin swab samples were collected on the cheeks. The microbiota was analyzed using the MiSeq system. Through these experiments, bacterial diversity in facial skin increased and the microbial community changed after four weeks of skincare product application. The relative abundance of Cutibacterium and Staphylococcus increased, significant changes in specific bacterial modules of the skin microbial network were observed, and skin hydration and texture improved. It was suggested that daily use of skincare products could affect the microbial structure of facial skin as well as the biophysical properties of the facial skin. These findings expand our understanding of the role of skincare products on the skin environment.


Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering

August 2021

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236 Reads

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8 Citations

Background Skin pores are structural features of the skin, which tend to change as the skin ages. Since previous studies measured pores two‐dimensionally, precise measurements using three‐dimensional imaging were needed to comprehensively understand skin pores. This study aimed to determine the patterns behind the changes in skin pores during one's lifetime and to identify new characteristics of the pores in aged. Materials and Methods Skin surface profiles were measured three‐dimensionally from the cheeks of 101 Korean women from February to March 2020 to analyze the exact state of their pores. The researchers performed K‐means clustering to classify the skin pores, and topographical features of pores were analyzed as well. Statistical analyses were performed to verify the differences in the skin pore characteristics among clusters and the correlation between clusters and ages. Results Skin pores were classified into five groups based on size, density, and elongation. The skin conditions of the cluster groups were well correlated with aging, despite excluding age as a factor in pore classification. Adjacent skin pores tend to connect in the elderly. Conclusion Skin pores become larger and longer over time. Skin pores connect together in the elderly, which might be related to wrinkle formation. This phenomenon strongly suggests skin pores as a characteristic of aging skin and as a potential target for anti‐aging treatment.


Device used to measure skin elasticity based on the elastic angle. (A) The user drops the ball by operating a switch, and the ball draws a curve and collides with the subject's cheek on the right side (yellow rectangle: electromagnet switch). (B) A tripod and iPhone SE are installed in front of the device to record the movement of the ball. (C) The schematization for the elastic angle, the maximum angle at which the ball bounces. SE, Special Edition
Images for comparison of the elastic angle in two different age groups. (A) The elastic angle (angle in red circle) of the 20s group is significantly higher than that of the ≥50s group (B). Results were statistically compared using post hoc analysis with Bonferroni correction (P < .001)
Correlation between age and the elastic angle. The distribution between age and the elastic angle is negatively and significantly correlated. (Pearson correlation coefficient: r = −.799, P < .001)
Correlations between the calculated Ballistometer® measurements and the elastic angle. The distributions between the elastic angle and Ballistometer® measurements show a negative correlation with (A) alpha and positive correlations with (B) mean CoR and (C) area. All correlation coefficients are significant (Pearson correlation coefficient: r = −.570, P < .001 for Alpha; r = .602, P < .001 for mean CoR; r = .535, P < .001 for area). CoR, coefficient of restitution; AU, arbitrary unit
Validation of the elastic angle for quantitative and visible evaluation of skin elasticity in vivo

June 2021

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93 Reads

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1 Citation

Background Reduction in skin elasticity due to aging causes skin sagging and wrinkles. Although there are various objective and reliable techniques for measuring skin elasticity, it is difficult to obtain a visual representation of skin elasticity with them. Therefore, we developed a novel device, the Swing anglemeter, and analyzed its effectiveness for measuring skin elasticity of the cheek. Materials and Methods Forty-five healthy Korean women (age, 23-60 years) participated. The Swing anglemeter works by dropping a rubber ball on a subject's cheek, which draws a curve as it collides with the cheek. After recording the movement of the ball using the slow-motion function on a mobile phone, we defined the maximum angle at which the ball bounces off the skin as the elastic angle, using frame-by-frame video analysis. Changes in the elastic angle were assessed according to age, and correlation with the Ballistometer® results (Dia-stron Ltd., Andover, UK) was analyzed for validation. Results Elastic angles differed significantly (P < .001) according to age. A negative correlation was found between the elastic angle and age (r = −.799, P < .001). Compared with the Ballistometer® measurements, the elastic angle was negatively correlated with alpha (r = −.570, P < .001); it was positively correlated with the mean coefficient of restitution and area (r = .602, P < .001 and r = .535, P < .001, respectively). Conclusion The elastic angle is a useful parameter for reflecting skin elasticity, both quantitatively and visually. Our method can help subjects understand their skin elasticity status. Therefore, we expect the device will be utilized in various fields within the cosmetic industry.


Synthesis of Retinol-Loaded Lipid Nanocarrier via Vacuum Emulsification to Improve Topical Skin Delivery

March 2021

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224 Reads

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25 Citations

Retinol has been widely used as an anti-wrinkle active ingredient in cosmetic fields. However, the oxidation of retinol by air was one of the critical problems for application in the skincare field. In this study, Retinol-loaded lipid nanocarriers were prepared via the vacuum emulsification method to increase the stability of retinol vulnerable to air and optimized encapsulation conditions and to increase the penetration efficiency into skin. Optimizing the components of lipid nanocarriers, gradients of carbon chain C8-22 using various lipid species which made the amorphous structure and enough spaces to load retinol inside the capsules were estimated from the lower enthalpy change and peak shift in DSC analysis. The vacuum-assisted lipid nanocarriers (VLN) could help suppress oxidation, which could have advantages to increase the thermal stability of retinol. The retinol-loaded VLN (VLN-ROL) had narrow size distribution under 0.3 PDI value, under 200 nm scaled particle size, and fully negative surface charge of about -50 mV for the electrostatic repulsion to avoid aggregation phenomenon among the lipid nanoparticles. It maintained 90% or more retinol concentration after 4 weeks of storage at 25, 40 and 50 °C and kept stable. The VLN-ROL-containing cream showed improved penetration efficiency applied to porcine skins compared to the commercial retinol 10S from BASF. The total amount of retinol into the skin of VLN-ROL (0.1% of retinol) was enhanced by about 2.2-fold (2.86 ± 0.23 μg) higher than that in 0.1% of bare retinol (about 1.29 ± 0.09 μg). In addition, applied on a 3D Human skin model, the epidermal thickness and the relative percentage of dermal collagen area effectively increased compared to the control and retinol, respectively. Additionally, the level of secreted IL-1α was lower and epidermal damage was weaker than commercial product A. This retinol-loaded lipid nanocarrier could be a potentially superior material for cosmetics and biomedical research.


Development of the facial glycation imaging system for in situ human face skin glycation index measurement

February 2021

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109 Reads

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8 Citations

Background The accumulation of advanced glycation end products has been proposed as a causative agent of skin aging, but there are no conventional devices for quantifying advanced glycation end‐product accumulation in facial skin. Aims This study aimed to develop a convenient and accurate in situ advanced glycation end‐product measurement system for the human face. Methods We developed a facial glycation imaging system, which consisted of illumination (white light‐emitting diode, ultraviolet light‐emitting diode) and image acquisition modules to capture face images. Advanced glycation end product–related autofluorescence and total skin reflectance were calculated to obtain the skin glycation index using an image analysis algorithm. Correlations between the skin glycation index and facial skin elasticity and age were examined in 36 healthy Korean women. Results The facial glycation imaging system was validated against a volar forearm skin autofluorescence measurement device, that is, the AGE Reader mu, with forearm skin glycation index (R = 0.64, P < .01). Cheek elasticity was negatively correlated with cheek skin glycation index (R = −0.56, R = −0.57, and R = −0.61, P < .01 for R2, R5, and R7, respectively). Age was significantly correlated with forearm skin glycation index (R = 0.44, P < .01) and cheek skin glycation index (R = 0.48, P < .01). Conclusion We successfully developed a novel in situ facial skin glycation index measurement device. Our convenient and accurate system enables in situ skin glycation index monitoring for skin aging studies such as those on anti‐glycation cosmetics.


Citations (39)


... Participants were asked to gently wipe their lips with a paper towel to remove any impurities and then relax for 10 min to adjust to the condition in the room. For the second part of the study, the facial images of 1,000 individuals, consisting of 500 men and 500 women, were included, all of whom were recruited in our previous study 30 . Consequently, a total of 1,055 individuals were involved in this study. ...

Reference:

Image based quantification method reveals differential patterns of lip desquamation associated with age and sex
Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color

... avoidance of potentially harmful chemicals, and sustainability in production processes. 2 Consumers in this demographic are drawn to products that claim to be "non-toxic," "natural," or "organic," though these terms are often loosely regulated. The trend also includes a preference for cruelty-free and environmentally friendly practices, reflecting broader societal concerns about climate change and animal welfare. ...

The Clean Beauty Trend Among Millennial and Generation Z Consumers: Assessing the Safety, Ethicality, and Sustainability Attributes of Cosmetic Products

... Invasive Candida infection [78] Resisting viruses Blocking viral DNA replication and downregulating CXCR4 Acquired immunodeficiency syndrome [79] Relieving tissue pathological changes Immune influence on tissue cytokine response Acute respiratory syndrome [80] TA B L E 3 The location, composition, expression, and function of different subtypes of common β-defensins in the human body. [43] , respiratory tract [44] , kidneys [45] , female reproductive tract [46] , etc Depression [47] , Alzheimer's disease [47] , Beckett's disease [48] , vitiligo [49] , bladder cancer [50] , etc hBD2 8p23.1-p22 A cationic short peptide composed of 41 amino acid residues, with a 3-bundle layered structure and 3 disulfide bonds Blood vessels [51] , digestive tract [52] , skin [53] , etc Basal cell carcinoma [54] , acute graftversus-host disease [55] , necrotizing enterocolitis [56] , erosive oral lichen planus [57] , etc hBD3 8p23 A cationic short peptide composed of 45 amino acid residues, with 1 α-helix, 3 antiparallel β-sheets, and 6 conserved cysteine residues Epithelium or skin [58] , oral cavity [59] , skeletal muscle [60] , tonsils [61] , etc ...

Novel human skin surface antimicrobial peptide quantification method using a skin patch test chamber: A pilot study
  • Citing Article
  • July 2022

... Recent studies have used genome-wide association studies (GWAS) to identify genetic markers associated with facial wrinkles [19,20], and some of these markers have been subjected to functional studies and gene regulation to determine whether they improve wrinkles [21,22]. Among the GWAS-identified genes implicated in wrinkle formation, we aimed to investigate the relationship between sphingosine 1-phosphate (S1P) phosphatase 2 (SGPP2), the gene encoding SGPP2 involved in inflammatory signaling [23], and the enlargement of pores, including elongation and wrinkle formation. ...

Identification of Genetic Loci Associated with Facial Wrinkles in a Large Korean Population
  • Citing Article
  • April 2022

Journal of Investigative Dermatology

... These findings demonstrate that OCA2 is a promising target for the development of efficacious cosmetics and therapeutics designed to treat hyperpigmentation. correlation with the *L (skin brightness) and *b (skin yellowness) parameters of the CIELAB indices, commonly used to measure skin tone [7]. Other SNPs, such as rs11855019 and rs12913832 have been linked to an increased prevalence of freckles [8,9]. ...

Genome-wide association study identifies multiple genetic loci for skin color in Korean women
  • Citing Article
  • October 2021

Journal of Investigative Dermatology

... What is novel about our data is that this investigation has provided insights into the direct implications of skincare product use for the skin's microbiota and pH balance, while most previous studies on skincare products have predominantly focused on the skin's surface characteristics, such as hydration or wrinkles. To our knowledge, the evidence based on data that report on cosmetic skincare products and the skin microbiome is growing but still limited [38,[46][47][48][49]. In contrast, there are limited data on the relation of cosmetic product pH to microbiome diversity. ...

Effect of the skincare product on facial skin microbial structure and biophysical parameters: A pilot study

... Interestingly, while clinical measurements show men develop more severe upper facial signs, their perceived aging remains more associated with lower facial changes-presenting an inverse relationship between anatomical aging and perceptual aging cues across genders [20]. Enlarged pores are not merely a textural concern but serve as early morphological markers of agingprogressive pore elongation, expansion, and coalescence directly contribute to pre-wrinkle formation and ultimately exacerbate wrinkle severity [21][22][23][24]. Research indicates that the highest prediction accuracy (lowest MAE) is achieved for hands in the 30-40 age group and for facial images in the 20-45 age range [25]. ...

Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering

... 6 Pada stabilitas nya, retinol memiliki beberapa tantangan tersendiri karena retinol yang cenderung tidak stabil di bawah cahaya dan paparan udara sehingga akan menyebabkan retinol mudah terdegradasi dan mengalami penurunan aktivitas antioksidan dan mengalami perubahan kondisi fisik seperti terjadinya perubahan warna, bau, dan bentuk serta cemaran mikroba pada sediaan yang menjadi tanda bahwa stabilitas retinol menurun. 7 Pada sediaan retinol, terdapat beberapa faktor yang dapat mempengaruhi kestabilannya seperti formulasi, nilai pH, penyimpanan, wadah kemasan, cahaya, panas, dan antioksidan. 8 Sifat dan stabilitas fisik sediaan retinol topikal akan mempengaruhi stabilitas kimia retinol itu sendiri yaitu dapat menentukan pelepasan zat aktif ketika diaplikasikan ke permukaan kulit, sehingga retinol dapat memberikan efek terapeutik secara maksimal dan juga terhindar dari efek samping yang toksik seperti terjadinya iritasi lokal, yaitu eritema, rasa terbakar, perih, mengelupas, dan kulit kering atau xerotik. ...

Synthesis of Retinol-Loaded Lipid Nanocarrier via Vacuum Emulsification to Improve Topical Skin Delivery

... Moreover, there are few reports measuring skin firmness after monopolar RF treatment. In the present study, we critically evaluated the existing evidence for the utility of monopolar RF in facial rejuvenation and measured skin firmness, facial pores, fine wrinkles, and skin tone using a facial aging measurement device [8,9]. Moreover, we performed regular follow-ups for 6 months to determine how long the effect of a single monopolar RF treatment lasts. ...

Development of the facial glycation imaging system for in situ human face skin glycation index measurement

... Varying guidelines on mask usage have led to reduced acceptance among the public [10]. A Korean study indicated that females are more prone to mask-induced skin changes [11]. ...

Influence of quarantine mask use on skin characteristics: One of the changes in our life caused by the COVID‐19 pandemic