Lee Jamie, Wu Hiu Lam Athena, Mannan Ahmad A, Nakamura Yuumi, Amagai Masayuki, Irvine Alan D, Tanaka Reiko J
Department of Bioengineering, Imperial College London, London, United Kingdom.
Cutaneous Allergy and Host Defense, Immunology Frontier Research Center, The University of Osaka, Osaka, Japan.
JID Innov. 2025 May 14;5(5):100385. doi: 10.1016/j.xjidi.2025.100385. eCollection 2025 Sep.
Understanding how the skin microbiota contributes to skin health and disease requires knowledge of the dynamic interactions between the skin and its resident microbes. In silico modeling complements in vivo and in vitro experiments by enabling a systems-level understanding of dynamic skin-microbiota interactions. However, the number of published in silico skin microbiota models remains limited. This paper provides the first comprehensive exploration of in silico skin microbiota modeling. We identify current challenges, learn from leading experimental validation approaches adopted in in silico gut microbiota research, and propose ways to enhance the predictive power of in silico skin microbiota models.
要了解皮肤微生物群如何影响皮肤健康与疾病，需要掌握皮肤与其常驻微生物之间的动态相互作用。计算机模拟建模通过实现对皮肤-微生物群动态相互作用的系统层面理解，对体内和体外实验起到补充作用。然而，已发表的计算机模拟皮肤微生物群模型数量仍然有限。本文首次对计算机模拟皮肤微生物群建模进行了全面探索。我们识别了当前面临的挑战，借鉴了计算机模拟肠道微生物群研究中采用的领先实验验证方法，并提出了增强计算机模拟皮肤微生物群模型预测能力的方法。
