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Updated: Mar 20, 2026

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Cultivating a Three-dimensional Reconstructed Human Epidermis at a Large Scale
Published on: May 28, 2021
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A multi-strain human skin microbiome model provides a testbed for disease modeling
Angela L Maloney1, Tyler Crawford1, Jordan Hurlbut1
1Bioengineering Division, Draper, Cambridge, MA, United States.
Frontiers in Microbiomes
|March 19, 2026
Summary
Researchers developed a novel in vitro skin microbiome model using human keratinocytes and a six-strain consortium. This stable model allows studying host-microbe interactions and disease impacts on skin health.
Area of Science:
- Microbiology
- Dermatology
- Tissue Engineering
Background:
- The skin microbiome is crucial for skin health, influencing immunity and barrier function.
- Dysbiosis is linked to inflammatory skin diseases like atopic dermatitis and psoriasis.
- Current in vitro models lack the complexity and duration to study chronic disease states.
Purpose of the Study:
- To develop a stable, complex in vitro model of the human skin microbiome.
- To characterize host-microbe interactions and disease impacts over time.
- To provide a testbed for evaluating commensal influences and environmental factors.
Main Methods:
- Co-culture of a six-strain microbial consortium with primary human keratinocyte-derived tissue.
- Utilized an Air-Liquid Interface culture system for up to 7 days.
- Assessed tissue health via histology, gene expression, transepithelial electrical resistance (TEER), and microbial strain abundance using qPCR.
Main Results:
- The model formed complex skin tissue and maintained stable TEER.
- Up to five microbial strains remained viable on the tissue surface for 7 days, including Cutibacterium acnes.
- Disease-associated cytokines reduced tissue barrier function, and disease states altered microbial composition.
Conclusions:
- This in vitro model offers a robust platform for studying skin microbiome dynamics and host interactions.
- The model supports the growth of native skin strains like C. acnes under more natural conditions.
- It can be used to investigate the impact of disease states on the microbiome and vice versa.
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