Assessment of skin barrier function using skin images with topological data analysis

Keita Koseki, Hiroshi Kawasaki, Toru Atsugi, Miki Nakanishi, Makoto Mizuno, Eiji Naru, Tamotsu Ebihara, Masayuki Amagai, Eiryo Kawakami

研究成果: Article査読

7 被引用数 (Scopus)


Recent developments of molecular biology have revealed diverse mechanisms of skin diseases, and precision medicine considering these mechanisms requires the frequent objective evaluation of skin phenotypes. Transepidermal water loss (TEWL) is commonly used for evaluating skin barrier function; however, direct measurement of TEWL is time-consuming and is not convenient for daily clinical practice. Here, we propose a new skin barrier assessment method using skin images with topological data analysis (TDA). TDA enabled efficient identification of structural features from a skin image taken by a microscope. These features reflected the regularity of the skin texture. We found a significant correlation between the topological features and TEWL. Moreover, using the features as input, we trained machine-learning models to predict TEWL and obtained good accuracy (R2 = 0.524). Our results suggest that assessment of skin barrier function by topological image analysis is promising.

ジャーナルnpj Systems Biology and Applications
出版ステータスPublished - 2020 12月

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 生化学、遺伝学、分子生物学(全般)
  • 創薬
  • コンピュータ サイエンスの応用
  • 応用数学


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