Towards the next generation of in silico modelling of dynamic host-microbiota interactions in the skin
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
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 modelling 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 modelling. 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.
Date Issued
2025-09-01
Date Acceptance
2025-04-29
Citation
JID Innovations, 2025, 5 (5)
ISSN
2667-0267
Publisher
Elsevier
Journal / Book Title
JID Innovations
Volume
5
Issue
5
Copyright Statement
ª 2025 The Authors. Published by Elsevier Inc. on behalf of the Society for Investigative Dermatology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
10.1016/j.xjidi.2025.100385
Subjects
In silico modeling, skin disease, skin microbiome, time-course data, validation ABM, agent-based model
AD, atopic dermatitis
AMP, antimicrobial peptide
CoNS, coagulase-negative Staphylococci
GEM, genomescale metabolic model
HSE, human skin equivalent
ODE, ordinary differential equation
QSP, quantitative systems pharmacology
SA, Staphylococcus aureus
SE, Staphylococcus epidermidis
Publication Status
Published
Article Number
100385
Date Publish Online
2025-05-14