Lipidomics-based analysis of lipid differences between dry skin of women aged 22-28 years and 29-35 years.

BACKGROUND: The skin condition of women is different at different ages, and skin surface lipids are also different. According to the "7-7 theory" of the Huangdi Neijing, the physiological condition of women changes significantly every 7 years, and women aged 22-28 are in the "4-7" stage as mentioned in the "7-7 theory" of the Huangdi Neijing. Women's skin is in different states at different ages and produces different lipids. OBJECTIVES: To explore the key lipids that contribute to skin differences between women aged 22-28 and 29-35 years, and to explore the relationship with physiological parameters and daily routine. METHODS: Differential lipids were detected and screened between 22-28 year old (group D1) and 29-35 year old (group D2) dry-skinned women using UPLC-Q-TOF-MS and correlated between the two groups with questionnaires and physiological parameters based on basic information, lifestyle habits, work situation, and emotional stress. RESULTS: The results showed that all of the eight major classes of lipids had the highest expression in the D2 group, with the largest differences in glycerophospholipids, glycerol esters, and fatty acids. The BMI value of D2 group was higher than that of D1 group, the skin elasticity index (R2) and brightness index (L, a, ITA values) were lower than that of D1 group, and Cer (d18:0/16:0) was positively correlated with the R2, L, a, and ITA, and LMSP01080056 (N,N-dimethyl-Safingol) was positively correlated with the b-value, the LMSPGP03020013, LMSPGP03020014, LMSP03020024 were significantly negatively correlated with R2. CONCLUSIONS: Cer(d18:0/16:0) is a neurosphingol that inhibits elastase expression. N,N-dimethyl-Safingol readily undergoes oxidation to form yellow-brown solids. The macromolecular structure and excessive carbonyl structure of [LMGP0302] are susceptible to cross-linking and carbonyl stress reactions, which accelerate skin aging and reduce skin elasticity, and thus, they may be key lipids contributing to skin differences between the two age groups.

Machine learning assisted rational design of antimicrobial peptides based on human endogenous proteins and their applications for cosmetic preservative system optimization.

Preservatives are essential components in cosmetic products, but their safety issues have attracted widespread attention. There is an urgent need for safe and effective alternatives. Antimicrobial peptides (AMPs) are part of the innate immune system and have potent antimicrobial properties. Using machine learning-assisted rational design, we obtained a novel antibacterial peptide, IK-16-1, with significant antibacterial activity and maintaining safety based on ß-defensins. IK-16-1 has broad-spectrum antimicrobial properties against Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans, and has no haemolytic activity. The use of IK-16-1 holds promise in the cosmetics industry, since it can serve as a preservative synergist to reduce the amount of other preservatives in cosmetics. This study verified the feasibility of combining computational design with artificial intelligence prediction to design AMPs, achieving rapid screening and reducing development costs.

Analysis on the difference of skin surface lipids during blue light therapy for acne by lipidomics.

Acne is a chronic inflammatory skin disease of the sebaceous glands of the hair follicles, caused by a variety of factors and tends to recur, causing skin damage and psychological stress to patients. Blue light (415nm) is a popular physical therapy for acne, however, studies on the effects of blue light on skin surface lipids (SSL) have not been exhaustively reported. So, we want to investigate the difference in SSL before and after acne treatment with blue light and to reveal the potential mechanism of acne treatment with blue light from the lipid level. SSL samples were collected and physiological indicators (moisture content, transepidermal water loss (TEWL), sebum content and pH) were measured. By using ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) with multivariate data analysis methods to obtain specific information on the lipid composition. Analysis of the physiological index data showed a significant increase in moisture content (p = 0.042), pH (p = 0.000) and a significant decrease in sebum content(p = 0.008) in the after treatment area (AT group), while there was no significant change in TEWL values. A total of 2398 lipids were detected by lipidomics analysis and 25 differential lipids were screened. Triradylglycerols (TGs), isoprenoids and hopanoids being the potential differential lipids. Among the lipids associated with the skin barrier, only monounsaturated fatty acids (MUFA) (p = 0.045) were significantly increased. This study revealed significant changes in SSL after blue light treatment for acne, suggesting that blue light exposure may cause changes in the relative lipid content and redistribution of lipid components, and that whether it damages the skin barrier requires further study.

Exploration of potential lipid biomarkers for age-induced hair graying by lipidomic analyses of hair shaft roots with follicular tissue attached.

BACKGROUND: Age-induced hair graying (AIHG)is one of the visual hallmarks of aging, but its biological mechanism remains unclear. Changes in the hair-follicle lipid profiles associated with AIHG have not been defined. OBJECTIVES: To define the differences in the hair follicle lipid profiles of female black and gray/white hair follicles. METHODS: The lipid profile of hair follicles was determined by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Multivariate data analysis was used to determine changes in the lipid profiles in hair follicle roots. RESULTS: We identified the different lipids in hair follicle roots between black hair (HB) and white hair (HW) and analyzed the key lipids that contribute to the development of HW. The results showed that the total lipid content of the HW was significantly reduced. There were significant differences in sphingolipid content, with HB higher than HW. Two subclasses, glucosylceramide (GlcCer) and galactosylceramide, were significantly different. GlcCer, phosphatidylserine, and phosphatidic acid levels were higher in the HB group. The sphingolipid metabolism involved in GlcCer(d18:1/24:1[15Z]) is a statistically significant lipid metabolic pathway. CONCLUSION: Five major individual lipid candidates are involved in the production of AIHG. GlcCer shows a significant reduction in HW and is a potential target for further research into AIHG.

Lipidomics analysis of facial lipid biomarkers in females with self-perceived skin sensitivity.

Background and Aims: Self-perception of sensitive skin (SPSS) has several consequences, including skin barrier damage, which is prevented by barrier sebum. We analyzed lipidome profiles of skin surface lipids (SSLs) in patients with SPSS and healthy controls and explored the mechanism of action of potential lipid markers on the repair of damaged barrier cells to better understand SSL abnormity in these patients. Methods: Ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry was used to investigate SSL variations in major lipid classes, subclasses, and species. Reverse-transcription polymerase chain reaction (RT-PCR) was used to examine changes in intracellular gene expression following cell barrier damage repair by potential lipid markers. Results: There were significant differences in the lipidomes of individuals between groups. Individuals with SPSS showed significantly increased levels of two diacylglycerols and one very-short-chain free fatty acid and significantly decreased levels of three ceramides (Cers), four glycerophospholipids, and one very-long-chain free fatty acid. RT-PCR revealed that after damage repair by Cer/Glucosylceramide (GlcCer), the expression of two genes in the sterol regulatory element-binding protein and three in the peroxisome proliferator-activated receptor pathway significantly increased. Causes of skin barrier damage in patients with SPSS are related to the amount and type of lipids. Conclusion: Cer/GlcCer can promote lipid synthesis and secretion by upregulating lipid-related gene expression to repair barrier damage.

Exploration of Potential Biomarkers for Type 2 Diabetes by UPLC-QTOF-MS and WGCNA of Skin Surface Lipids.

BACKGROUND: Diabetes has become popular and has become one of the most important global health care challenges. Patients with diabetes have a high incidence of skin diseases. Cell and animal models are often used to study the skin conditions of people with diabetes. METHODS: In this study, a volunteer questionnaire survey, skin lipomics analysis based on ultra-high performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry (UPLC-QTOF-MS), and weighted gene co-expression network analysis (WGCNA) were used to study the differences in skin conditions and skin lipids of participants with type 2 diabetes mellitus (Group D) versus healthy individuals (Group H) and the correlation between these groups. The questionnaire was used to investigate personal basic, diabetes, and facial skin status information of 77 female volunteers aged 55-65 years old from the Peking University Shougang Hospital. The facial skin lipids of all volunteers were analysed by UPLC-QTOF-MS technique; the differential lipids between groups D and H were analysed by partial least-squared discriminant and univariate analysis. RESULTS: In total, 23 kinds of differential lipids were identified, all of which belonged to sphingolipids. The use of WGCNA combined clinical information with lipid analysis to study the relationship between glycosylated haemoglobin, skin pigmentation/non-pigmentation, and skin lipids. Two types of lipids were identified to distinguish between hub lipids of high and low glycosylated haemoglobin; 12 types of lipids were identified that could distinguish between the hub lipids of pigmented and non-pigmented participants (PLS-DA). CONCLUSION: The experimental results not only provide a reference for the diagnosis and classification of diabetes via analysing the skin lipids of patients, but also provides a theoretical basis for further study on the effects of diabetes on the skin of patients.

Study of the protective effects of cosmetic ingredients on the skin barrier, based on the expression of barrier-related genes and cytokines.

BACKGROUND: Sensitive skin is the result of a complex process that is closely linked to the damage of the skin barrier. There are no recognized methods for evaluating the efficacy of anti-allergy products. METHODS: In this study, a model of skin barrier damage was created by treating HaCaT cells with 60 µg/ml of sodium dodecyl sulfate for 48 h. The protective effects of nine cosmetic ingredients, including oat extract (S1), on the skin barrier were investigated based on the gene expression levels of aquaporin3 (AQP3), filaggrin (FLG), caspase-14 (CASP14), and human tissue kallikrein7 (KLK7), as well as those of various interleukins (IL) and vascular endothelial growth factor (VEGF). RESULTS: Among the nine ingredients, S1 had a good protective effect on the function of the skin barrier. It promoted the expression of AQP3, FLG, and CASP14, while inhibiting the expression of KLK7 in HaCaT cells, at a concentration of 0.06%. It also maintained IL-6, IL-8, and VEGF at appropriate levels while promoting the proliferation and differentiation of HaCaT cells. CONCLUSIONS: The above indicators allow for the preliminary establishment of a method to evaluate the efficacy of the barrier protection ability of sensitive skin.

Metabolomics study of fibroblasts damaged by UVB and BaP.

We have recently shown that both UVB and BaP can induce the production of ROS, apoptosis and even cancer. However, the differences in the metabolic profiles of skin damaged by UVB, BaP or UVB combined with BaP have not been studied. Therefore, we examined the metabolic changes in the human foreskin fibroblast injured by UVB or BaP or the combination of the two, using ultra performance liquid chromatography (UPLC) coupled with quadrupole time-of-flight mass spectrometry (qTOF-MS). 24 metabolites were altered in the UVB damage group, 25 in the BaP damage group, and 33 in the UVB combined with BaP group. These alterations indicated that the metabolic mechanisms of HFF-1 cells treated with UVB or BaP are related to multiple main metabolites including glycerophosphocholine (PC), lactosylceramide (LacCer), guanidinosuccinic acid (GSA), glutathione(GSH), and lysophosphatidylcholine (LysoPC) and the main mechanisms involved glycerophospholipid and glutathione metabolism. Thus, our report provided useful insight into the underlying mechanisms of UVB and BaP damage to skin cells.

Skin bacterial structure of young females in China: The relationship between skin bacterial structure and facial skin types.

BACKGROUND: Skin microbiota are involved in the skin physiological functions and are also affected by the skin physiological characteristics. OBJECTIVE: To better understand the skin microbial characteristics of facial cheek skin and the relationship with skin physiological characteristics. METHODS: By bacterial 16S rRNA gene sequencing, the authors studied the facial cheek skin microbial characteristics of 85 cases of young women aged 18-25 years. RESULTS: Healthy young woman's cheek skin bacterial composition was relatively stable. Dry skin has high bacterial diversity and richness, and oily skin has low bacterial diversity and richness. Cutibacterium was significantly enriched in oily skin and was significantly negatively correlated with other genera such as Streptococcus (r > 0.5). There were significant positive correlations among other genera of enrichment in dry and neutral skin such as Streptococcus and Rothia (r > 0.8). Skin sebum level was significantly negatively correlated with bacterial alpha diversity index. The combined abundance of Cutibacterium acnes and Staphylococcus epidermidis was significantly positively correlated with sebum secretion (r > 0.5). CONCLUSIONS: The skin sebum secretion and bacterial interaction were the important factors driving the young females' cheek skin bacterial community structure.

Exploration of potential lipid biomarkers for premature canities by UPLC-QTOF-MS analyses of hair follicle roots.

BACKGROUND: The rate of premature greying, referred to as canities, varies among populations, and effective treatments are lacking. However, few studies at the molecular level have been reported. OBJECTIVES: Comparing lipid profiles of individuals with premature canities and healthy volunteers to explore the mechanism of premature canities. METHODS: Ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to detect lipids in the hair follicle root. Multivariate data analysis was used to show lipid changes in follicle roots. RESULTS: We identified lipids in the hair follicle root that differ between black and white hair and analysed key lipids contributing to white hair development. We divided the samples into three groups: PC-WH (Premature canities-White hair), PC-PH (Premature canities-Pigmented hair), Control-PH (Pigmented hair). Phosphatidylethanolamine (PE), phosphatidylcholine (PC), vitamin D3 (VD3) and cholesterol in Control-PH were higher than those in PC-WH. Sphingomyelin (SP), phosphatidic acid (PA), VD3 and diglyceride (DG) were lower in PC-WH than in PC-PH. Levels of VD3 were highest in Control-PH, gradually decreased as the severity of PC-PH increased and were lowest in PC-WH. CONCLUSION: There are 7 main class candidate compounds involved in the generation of white hair. VD3 showed a substantial decrease in white hair and was a potential target for further studies of premature canities.

Skin surface lipidomics revealed the correlation between lipidomic profile and grade in adolescent acne.

BACKGROUND: Acne is a multifactorial skin disorder frequently observed during adolescence with different grades of severity. The crucial factors of acne are the increase of lipids secretion and the change of composition on the skin surface lipid (SSL). However, there are no studies on the changes of lipid composition and content between different grades of adolescent acne in lesional skin and nonlesionsal skin. AIMS: This study was to investigate correlation in the composition of SSL and different grades in order to understand the tendency of SSL alterations in this disease for successful acne management and prevention. METHODS: A powerful analytical technique, UPLC-QTOF-MS, and multivariate data analysis were used to investigate SSL variations of lipid main classes, subclasses, and species. RESULTS: The results indicated that sphinganine, triradylglycerols (TG), and phytosphingosine were important in adolescent acne development. The average fatty acids (FAs) chain length in patients with acne showed significantly shortened trend from mild to moderate adolescent acne. Additionally, the relative average content of TG, diglyceride (DG), FA, ceramides (Cers), and the level of unsaturated FAs significantly increased from mild to moderate adolescent acne. Interestingly, our results demonstrated that the phytosphingosine and sphinganine showed an increasing trend in mild acne groups, but decreasing trend in lesional skin of moderate group. CONCLUSIONS: Lipidomics analysis suggested that the variation of TG, phytosphingosine, and sphinganine was closely related to the occurrence severity of acne in adolescent.

Delineation of the Crucial Evolutionary Amino Acid Sites in Trehalose-6-Phosphate Synthase From Higher Plants.

Trehalose-6-phosphate synthase (TPS) is a key enzyme in the biosynthesis of trehalose, with its direct product, trehalose-6-phosphate, playing important roles in regulating whole-plant carbohydrate allocation and utilization. Genes encoding TPS constitute a multigene family in which functional divergence appears to have occurred repeatedly. To identify the crucial evolutionary amino acid sites of TPS in higher plants, a series of bioinformatics tools were applied to investigate the phylogenetic relationships, functional divergence, positive selection, and co-evolution of TPS proteins. First, we identified 150 TPS genes from 13 higher plant species. Phylogenetic analysis placed these TPS proteins into 2 clades: clades A and B, of which clade B could be further divided into 4 subclades (B1-B4). This classification was supported by the intron-exon structures, with more introns present in clade A. Next, detection of the critical functionally divergent amino acid sites resulted in the isolation of a total of 286 sites reflecting nonredundant radical shifts in amino acid properties with a high posterior probability cutoff among subclades. In addition, positively selected sites were identified using a codon substitution model, from which 46 amino acid sites were isolated as exhibiting positive selection at a significant level. Moreover, 18 amino acid sites were highlighted both for functional divergence and positive selection; these may thus potentially represent crucial evolutionary sites in the TPS family. Further co-evolutionary analysis revealed 3 pairs of sites: 11S and 12H, 33S and 34N, and 109G and 110E as demonstrating co-evolution. Finally, the 18 crucial evolutionary amino acid sites were mapped in the 3-dimensional structure. A total of 77 sites harboring functionally and structurally important residues of TPS proteins were found by using the CLIPS-4D online tool; notably, no overlap was observed with the identified crucial evolutionary sites, providing positive evidence supporting their designation. A total of 18 sites were isolated as key amino acids by using multiple bioinformatics tools based on their concomitant functional divergence and positive selection. Almost all these key sites are located in 2 domains of this protein family where they exhibit no overlap with the structurally and functionally conserved sites. These results will provide an improved understanding of the complexity of the TPS gene family and of its function and evolution in higher plants. Moreover, this knowledge may facilitate the exploitation of these sites for protein engineering applications.

Lipidomics analysis of facial skin surface lipids between forehead and cheek: Association between lipidome, TEWL, and pH.

BACKGROUND: Regional differences in skin characteristics are well known. Significant differences in skin physiology between the forehead and cheek have also been reported. However, there are few studies based on lipidomics at the molecular level. Additionally, there is no study focusing on the lipid profile variations of skin surface lipid (SSL) in forehead and cheek. PURPOSE: This study analyzed the differences in facial SSL between forehead and cheek of men aged 18-25 years to explain the distinct physiological parameters between forehead and cheek resulting in different skin status. METHODS: Facial SSL was identified by ultra-performance liquid chromatography-quadrupole time of flight-mass spectrometry (UPLC-QTOF-MS). Multivariate data analysis was used to investigate the SSL difference in forehead and cheek. RESULTS: Significant differences in facial SSL composition were detected between the forehead and cheek. Multivariate data analysis suggested that 21 entities contributed most significantly toward the discrimination and phosphatidylserines (PS) constituted the majority of differentiating lipid species. Subsequent analysis showed a marked increase in the amounts of unsaturated and saturated free fatty acids (FFAs), and a significant increase in average FFAs chain length in the forehead as compared to that in the cheek. CONCLUSIONS: Phosphatidylserines exposure might be one of the most important reasons for the increased amount of forehead SSL secretion. The different FFAs chain length and FFAs content lead to altered skin barrier functions in forehead and cheek, consequently resulting in altered trans-epidermal water loss (TEWL) and pH at the two anatomical sites.

Prediction of neonatal acne based on maternal lipidomic profiling.

BACKGROUND: Neonatal acne occurs in the first few weeks after birth. Some lesions are more serious and leave scars. Maternal surface skin lipids (SSL) have a strong correlation with SSL of infants. The establishment of prediction rank model based on maternal SSL is essential to the prevention and treatment of neonatal acne. METHOD: Surface skin lipids samples were collected from the mothers (M) of 56 neonatal acne patients and the mothers (HM) of 19 healthy infants. Surface skin lipids from the right forehead were collected using a noninvasive method. UPLC-QTOF-MS was applied to detect SSL. Partial least squares discriminant analysis and receiver operating characteristic (ROC) analysis were performed to screen and validate potential lipids. Random forest (RF) and ROC analysis were used to establish a prediction model and evaluate its accuracy. RESULTS: Sixteen altered potential lipids belonging to fatty acids, sphingomyelins, and glycerides were associated with M. M had less lipids than HM. Spearman's correlation of 16 lipids revealed 9 with high correlation. They were chosen as characteristic values of the RF prediction model. And the model showed an average accuracy of 98% in the validation set. CONCLUSION: We have established an RF model for predicting neonatal acne and have shown that high skin barrier-related lipids were markers for predicting neonatal acne.

Cheek Microbial Communities Vary in Young Children with Atopic Dermatitis in China.

BACKGROUND: Atopic dermatitis (AD) is a chronic, recurrent skin condition with recently increased incidence in younger children. AD development has been correlated with the skin microbiome, and Staphylococcus aureus enrichment causes significant increases in skin lesions. OBJECTIVE: Our objectives were to compare the microbial diversity of the cheek skin of children with or without AD aged 0-1 years in China, and to determine whether 4 types of skin-isolated bacteria could inhibit S. aureus in vitro. METHODS: The skin microbial samples of cheek skin of children were sequenced by 16S rRNA V1-V2 region. Four skin isolated bacterial fermentation supernatants were tested for effects on S. aureus growth, membrane formation, and induction of cytokine secretion from HaCaT cells. RESULTS: Bacterial diversity decreased significantly in skin with severe AD compared to healthy skin (p < 0.01). Seven phyla had content >1%, 4 of which differed in AD (p < 0.05). 38 genera had content >1%, 15 differed (p < 0.05). Differences in 8 species were observed (p < 0.05). In vitro antibacterial and cellular experiments showed that S. aureus growth, biofilm formation, and induction of interleukin (IL)-1α and IL-6 secretion from HaCaT cells were significantly inhibited by Klebsiella oxytoca, Kocuria rhizophila, and Staphylococcus epidermidis culture supernatants (p < 0.05). CONCLUSION: Skin microbiome changes in children varied with age and with AD. There were complex interactions between skin isolated bacteria and S. aureus which could inhibit S. aureus growth and biofilm formation in vitro, suggesting that these microorganisms could be used in AD treatment.

Phytohalomonas tamaricis gen. nov., sp. nov., an endophytic bacterium isolated from Tamarix ramosissima roots growing in Kumtag desert.

A gram-stain-negative, aerobic, non-spore-forming, rod-shaped, non-motile bacterium strain R4HLG17T was isolated from Tamarix ramosissima roots growing in Kumtag desert. The strain grew at salinities of 0-16% (w/v) NaCl (optimum 5-6%), pH 5-9 (optimum 7) and at 16-45 °C. Based on 16S rRNA gene sequence similarity, strain R4HLG17T belonged to the family Halomonadaceae and was most closely related to Halomonas lutea DSM 23508T(95.1%), followed by Halotalea alkalilenta AW-7T(94.8%), Salinicola acroporae S4-41T(94.8%), Salinicola halophilus CG4.1T(94.6%), and Larsenimonas salina M1-18T(94.4%). Multilocus sequence analysis (MLSA) based on the partial sequences of 16S rRNA, atpA, gyrB, rpoD, and secA genes indicated that the strain R4HLG17T formed an independent and monophyletic branch related to other genera of Halomonadaceae, supporting its placement as a new genus in this family. The draft genome of strain R4HLG17T was 3.6 Mb with a total G + C content of 55.1%. The average nucleotide identity to Halomonas lutea DSM 23508T was 83.5%. Q-9 was detected as the major respiratory quinone and summed feature 8 (C18:1ω7c/C18:1ω6c), summed feature 3 (C16:1ω7c/C16:1ω6c), and C16:0 as predominant cellular fatty acids. On the basis of chemotaxonomic, phylogenetic, and phenotypic evidence, strain R4HLG17T is concluded to represent a novel species of a new genus within Halomonadaceae, for which the name Phytohalomonas tamaricis gen. nov., sp. nov., is proposed. The type strain is R4HLG17T (=ACCC 19929T=KCTC 52415T).

Lentinan inhibits oxidative stress and inflammatory cytokine production induced by benzo(a)pyrene in human keratinocytes.

BACKGROUND: Benzo(a)pyrene, a major environmental pollutant, is known to accelerate skin aging through oxidative stress, increase the production of inflammatory mediators, and cause skin cancer. Lentinan, prepared from Lentinus edodes (Shiitake mushroom), has been reported to exhibit anti-coagulant, anti-viral, anti-cancer, anti-tumor, and anti-coagulant effects. However, the effect of lentinan on human keratinocytes treated with benzo(a)pyrene is unknown. AIMS: The aim of this study was to explore whether lentinan inhibits benzo(a)pyrene-induced oxidative stress and inflammatory cytokine production in human keratinocytes. METHODS: We investigated the effect of lentinan on benzo(a)pyrene-induced oxidative stress indicators (malondialdehyde, superoxide dismutase, and glutathione peroxidase) in human immortalized keratinocytes (HaCaT cells). We also assessed the production of inflammatory factors interleukin-8 and chemokine ligand-2 induced by benzo(a)pyrene exposure at both mRNA and protein levels. RESULTS: Lentinan inhibited oxidative stress induced by benzo(a)pyrene, as shown by the concentration-dependent reduction in reactive oxygen species in HaCaT cells. In addition, malondialdehyde levels were reduced to 53% of those of cells treated with benzo(a)pyrene without lentinan. The activities of superoxide dismutase and glutathione peroxidase were approximately 18- and 2.7-fold higher in benzo(a)pyrene-treated cells with lentinan than in those without lentinan. Moreover, lentinan significantly reduced interleukin-8 and chemokine ligand-2 mRNA and protein levels. CONCLUSIONS: These findings suggest that lentinan has two biological activities that are potentially useful for managing inflammatory skin diseases or disorders related to oxidative stress induced by benzo(a)pyrene. Therefore, cosmetics containing L edodes have promising dermatological applications, with potential utility in protecting the skin against environmental pollutants.

Online comment-based prediction of cosmetic ingredient's sensory irritation using gradient boosting algorithm.

BACKGROUND: The worldwide prevalence of "sensitive skin" group is estimated at being close to 40%. The main trigger for sensitive skin is the misuse of cosmetics products. Majority of the in vitro studies on cosmetic ingredients developed for topical application to the skin are not able to describe sensory irritation, such as stinging, burning, itching, and tingling. Besides, most of the in vivo tests often encounter problems such as limited number of subjects and usage scenarios deviate from reality. OBJECTIVE: A gradient boosting algorithm is adopted in our context to integrate multisource of information including skin types, sensory response, and cosmetics ingredients to predict sensory irritation. METHOD: In this study, online comments were preprocessed to construct a multi-dimensional structured data including skin types, sensory response, and cosmetics ingredients. A gradient boosting regression model was developed where sensory response was predicted based on the abovementioned structured input. The predictions were validated by in vivo test and were shown favorably when comparing with the state-of-the-art results from related works. RESULT: 46 007 samples were collected after data cleaning and were used in model developing. Results showed that the model was capable to predict the sensory response of 16 skin types to different ingredients (R = 0.71, P < 10-10 ). In addition, this model was validated using data from in vivo studies and presented a value of 75% on specificity, 88.9% on sensitivity, and 82.4% on accuracy. CONCLUSION: Our approach that is based on a variant of the gradient boosting algorithm provided an adequate solution for understanding the sensory irritation of cosmetic ingredients.

Application of lipidomics to reveal differences of facial skin surface lipids between atopic dermatitis and healthy infants.

BACKGROUND: The current knowledge about potential risk factors for atopic dermatitis (AD) is primarily based on the structure and function of the stratum corneum, which is characterized by osmotic defects and abnormal antibacterial function. There are no studies on the difference between facial lipids in infants with AD and healthy infants. AIMS: We sought to explore significantly different lipid markers for infants with AD presenting with lesions and healthy infants aged 0-2 years to guide treatment strategies. METHODS: Twenty-eight patient infants with AD and 32 healthy infants were recruited. Each infant received its surface skin lipids (SSL) on the right cheek. The components of skin lipids were measured by ultra-performance liquid chromatography-quadrupoletime-of-flight mass spectrometry (UPLC-Q-TOF-MS) to explore significantly different lipid markers by analyzing the detection results using orthogonal partial least squares analysis(OPLS-DA). RESULTS: There were clear distinctions in the components of SSL between the two groups. Twenty-nine significantly different lipid markers (P ≤ .05) were found. CONCLUSION: This study confirmed that there were significant differences in the components of the SSL between AD infants with lesions and healthy infants, but also found lipid types, lipid contents, and lipid structures as AD-related risks.