Search

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. [ABSTRACT FROM AUTHOR]

Background: Epigenetics has recently evolved from a collection of diverse phenomena to a defined and far‐reaching field of study. Epigenetic modifications of the genome, such as DNA methylation and histone modifications, have been reported to play a role in some skin diseases or cancer. Aims: The purpose of this article was to review the development of epigenetic in recent decades and their applications in dermatological research. Methods: An extensive literature search was conducted on epigenetic modifications since the first research on epigenetic. Results: This article summarizes the concept and development of epigenetics, as well as the process and principle of epigenetic modifications such as DNA methylation, histone modification, and non‐coding RNA. Their application in some skin diseases and cosmetic research and development is also summarized. Conclusions: This information will help to understand the mechanisms of epigenetics and some non‐coding RNA, the discovery of the related drugs, and provide new insights for skin health management and cosmetic research and development. [ABSTRACT FROM AUTHOR]

Background: "Omics" are usually based on the use of high‐throughput analysis methods for global analysis of biological samples and the discovery of biomarkers, and may provide new insights into biological phenomena. Over the last few years, the development of omics technologies has considerably accelerated the pace of dermatological research. Aims: The purpose of this article was to review the development of omics in recent decades and their application in dermatological research. Methods: An extensive literature search was conducted on omics technologies since the first research on omics. Results: This article summarizes the history and main research methods of the six omics technologies, including genomics, transcriptomics, proteomics, metabolomics, lipidomics, and microbiomics. Their application in certain skin diseases and cosmetics research and development are also summarized. Conclusions: This information will help to understand the mechanism of some skin diseases and the discovery of potential biomarkers, and provide new insights for skin health management and cosmetics research and development. [ABSTRACT FROM AUTHOR]

Background: Infantile acne refers to a skin disease that usually occurs on the face from 6 weeks to 1 year old, and the etiology of infantile acne is different from that of puberty acne. The change of skin surface lipid (SSL) is an important factor in the occurrence of acne. Objectives: Comparison of facial skin lipid changes in healthy and acne‐prone infants, screening for possible groupings of substances, to explore factors associated with the development of acne in infants, such as gender and frequency of face washing. Methods: A questionnaire was used to obtain information about the infant, facial lipids were affixed with adhesive tape, and the samples were analyzed using Ultraperformance liquid chromatography‐quadrupole time‐of‐flight mass spectrometry (UPLC‐QTOF‐MS), with subsequent data analyzed by single‐factor and multifactor analysis. Results: It was observed that some lipids followed the trend of lipid master classes, subclasses and were significantly different. Galactosylceramides, glycosylceramides and phosphatidylethanolamine were screened as the majority of differentiating lipid species. Additionally, it was emphasized that the frequency of face washing and parent's acne was independent with the severity of acne in infant by clinical characteristics, whereas the skin type and gender can affect the severity of acne statistically. Conclusions: Facial lipids change significantly between infantile acne and healthy infants, suggesting that qualitative and quantitative changes in lipids are strongly associated with the development of acne and may exacerbate the environment in which acne occurs. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Sensitive skin refers to skin that tends to be highly responsive to stimuli such as physical, chemical, and psychological. Psychological factors play an important role in the pathology of sensitive skin. Objective: This study investigated lipid difference between sensitive skin caused by psychological stress and normal skin, followed by construction of a support vector machine (SVM). Methods: A noninvasive method was used to collect lipid samples from the skin surface. Ultra‐performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC‐Q‐TOF‐MS) technique and partial least squares‐discriminant analysis (PLS‐DA) was used to screen for differential lipids. A correlation analysis was performed on differential lipids, and a support vector model was established based on the differential lipids. Results: Twelve differential lipids were obtained, and the most differentiating species were triacylglycerols (TGs), followed by monounsaturated fatty acids (MUFAs), saturated fatty acids (SFAs), diacylglycerols (DGs), and 6‐hydroxysphingosine levels. Triglyceride, SFA, and MUFA species showed a high correlation, and the support vector machine (SVM) differentiation model based on differential lipids had a 100% accuracy rate. Conclusion: Psychological stress may cause damage to the permeability and antimicrobial barriers of the skin, thereby resulting in sensitive skin. Differentiation models based on SVMs have good prospects for distinguishing sensitive skin caused by psychological stress. [ABSTRACT FROM AUTHOR]