No abstract

Objective: Skin microbiomes vary across individuals. They are known to play essential roles in maintaining homeostasis and preventing infectious pathogens.In recent years, cosmetic product development has begun to focus on the relationship between skin microbiomes and skin conditions. However, the statistical methods used in many studies include the standard t-test and small-scale correlation analysis, which do not take into account the internal correlation structure in data on skin microbiomes and skin features. In this study, we aimed to understand the relationship between skin microbiomes and skin features by analysing complex microbiomes and skin data. Methods:We obtained data on 19 skin characteristics and skin microbiomes based on 16s ribosomal RNA (16S rRNA) gene analysis of 276 healthy Japanese women. We then performed the principal component analysis (PCA), a method that takes into account the internal correlation structure, on 234 panels of them that did not contain outliers or missing values. We confirmed the relationship between skin microbiomes and skin features with principal component regression analysis and hierarchical clustering analysis (HCA). Results:The principal component regression analysis showed strong relationships between skin microbiomes and sebum-related skin characteristics and skin pH. In the HCA, the female panel was classified into two major groups based on the skin microbiome. Furthermore, there were significant differences in sebumrelated skin characteristics and the way skin condition changes with ageing between those groups, suggesting the possibility of measuring skin condition and age-related skin risk based on microbiome data. In addition, sebum-related characteristics differed significantly among middle-aged participants, suggesting a strong relationship between skin microbiomes and sebum-related characteristics. Conclusion:Analysis of skin condition and skin microbiome in Japanese women, taking into account the correlation between variables, showed that skin microbiome was significantly related to the number of pores and the amount of

Demands for the elimination and replacement of animal experiments for cosmetic safety assessment have increased in recent years. Evaluation of skin sensitization, however, is a critical issue in cosmetic safety assessment. The SH test is an in vitro skin sensitization test method that evaluates protein binding of chemical substances, which is an important event in skin sensitization. We previously verified the technical transferability and between-laboratory reproducibility of the SH test, a domestic test method for which no scientific research has been conducted, and improved the protocol, but also noted some unresolved issues. Therefore, in the present study, we successfully improved the operational efficiency and clarity of the final judgment of the SH test by (i) developing a new decision-making system that can make a final judgment without statistical processing, (ii) changing the statistical method, and (iii) evaluating and determining the maximum number of repetitions necessary for optimal efficiency. The improved SH test was verified by comparing it with existing test methods already adopted by the Organization for Economic Cooperation and Development. The results of this study demonstrated excellent performance of the improved SH test, with high reproducibility, reliable predictability, and good operational efficiency. The predictive performance of the improved method does not differ significantly from that of the conventional method, although it is clearer and more efficient. Therefore, the results of the present improved method are consistent with those obtained using the conventional method, with higher efficiency.