Development of a skin microbiome diagnostic method to assess skin condition in healthy individuals : Application of research on skin microbiomes and skin condition / Yuki Kotakeyama in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE, Vol. 43, N° 6 (12/2021)  

[article]  inINTERNATIONAL JOURNAL OF COSMETIC SCIENCE > Vol. 43, N° 6 (12/2021) . - p. 677-690 Titre : Development of a skin microbiome diagnostic method to assess skin condition in healthy individuals : Application of research on skin microbiomes and skin condition Type de document : document électronique Auteurs : Yuki Kotakeyama, Auteur ; Rie Nakamura, Auteur ; Masaharu Kurosawa, Auteur ; Seiko Ota, Auteur ; Ruka Suzuki, Auteur ; Miki Nakanishi, Auteur ; Kohei Kanno, Auteur ; Kosuke Watanabe, Auteur ; Yukiko Ishitsuka, Auteur Année de publication : 2021 Article en page(s) : p. 677-690 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Acné L'acné (nom féminin) est une dermatose (maladie de la peau) inflammatoire des follicules pilosébacés (glandes sécrétant le sébum, à la racine des poils) avec formation de comédons. Cette maladie de la peau est représentée dans sa forme la plus fréquente par l'acné polymorphe juvénile qui touche les adolescents, mais qui ne résume pas toutes les acnés. Il existe aussi des acnés exogènes d'origine professionnelle, médicamenteuse, cosmétique... Dermo-cosmétologie Diagnostic biologique Microbiologie Microbiome -- Analyse Microbiome cutané Peau -- Physiologie Peau -- Rides Peau -- Soins et hygiène Pellicules (dermatologie) Rosacée La rosacée, connue aussi sous le nom de couperose, est une maladie cutanée incurable au départ bénigne qui se manifeste par des rougeurs chroniques au niveau du nez, des joues, parfois aussi au niveau du menton et du front. Ces symptômes s'accompagnent d'une sensation de picotement, notamment au niveau des yeux. De petits vaisseaux sanguins, caractéristiques des varicosités sont souvent visibles dans les zones touchées associées à des télangiectasies. La maladie est évolutive et peut provoquer des crises d'acné, notamment en cas de stress ou de fatigue, et, à un stade avancé, faire enfler le nez du sujet qui reste rouge et bosselé (rhinophyma). Lorsque la rosacée est à un stade plus avancé, ou soumise à différents facteurs, elle peut aussi durement affecter la vue du sujet qui en est atteint et un examen dermatologique est recommandé. Celle maladie se distingue de l'érythrose faciale qui est un érythème diffus disparaissant à la vitropression. Statistique Index. décimale : 668.5 Parfums et cosmétiques Résumé : - 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 sebum-related 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 sebum. Furthermore, it was suggested that the skin condition and the way the skin condition changes with ageing may differ depending on the type of skin microbiome. The finding of a relationship between skin condition and skin microbiome suggests the possibility of proposing a new beauty method focusing on the skin microbiome in the future. Note de contenu : - SUBJECTS AND METHODS : Study population - Acquisition of data on skin features - Acquisition of skin microbiome data and calculation - Computational analysis - Selection of microbiome genera for analysis - Statistical analysisPrincipal component analysis - Multivariable linear regression on skin features and skin microbiomes - Hierarchical clustering analysis and Mann–Whitney's analysis on skin features and skin microbiomes - RESULTS : Study population - Statistical analysis - Table 1 : Age and skin features of the study participants - Table 2 : Pearson's correlations derived from the principal component analysis of 19 skin features - Table 3 : Variances derived from the principal component analysis (PCA) of 19 skin features - Table 4 : Rotated components: eigenvector between 19 skin features and 9 main principal components (PCs) - Table 5 : Statistical associations between the main skin microbiome and skin feature score derived from the principal component analysis - Table 6 : Comparison of each skin feature by group (Mann– Whitney U test) - Table 7 : Comparison of each skin feature by group while taking age bias into account (Mann– Whitney U test) - Table 8 : Correlations between age and skin features in all panels and by microbiome type DOI : https://doi.org/10.1111/ics.12744 En ligne : https://drive.google.com/file/d/1ZvqY0QBBQSJcfM312AXpBvj9A3pruCs7/view?usp=shari [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=37049 [article]

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