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Updated: Jan 16, 2026

A Gut-on-a-Chip Model to Study the Gut Microbiome-Nervous System Axis
Published on: July 28, 2023
The gut‑skin axis: Emerging insights in understanding and treating skin diseases through gut microbiome modulation
Yuantong Zhao1, Chenchen Yu1, Jingyu Zhang2
1Department of Immunology, School of Medicine, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Abstract:
Emerging evidence indicates a significant association between the composition and functionality of the gut microbiome and various skin disorders, including psoriasis, atopic dermatitis, acne and several dermatological conditions. The gut‑skin axis theory describes a complex bidirectional communication network between the gut and the skin, providing mechanistic insights into the pathogenesis of certain cutaneous diseases. Specifically, the gut microbiome influences skin health through the regulation of systemic immunity, inflammatory responses and metabolic pathways. Advances in high‑throughput sequencing and bioinformatics technologies have substantially enhanced the understanding of the role of the gut microbiome in skin pathology. Clinical and preclinical studies have demonstrated that restoring gut microbial homeostasis via interventions such as faecal microbiota transplantation, probiotics and prebiotics can ameliorate symptoms of skin diseases. Furthermore, personalized microbiome‑based therapies, next‑generation probiotics and dietary modifications hold promise for refining gut‑skin interactions and advancing precision medicine in dermatology. Therapeutic strategies targeting the gut‑skin axis offer novel avenues for innovative dermatological treatments, with future breakthroughs potentially involving microbial community engineering, postbiotics and artificial intelligence in microbiome‑related diagnostics. This narrative review summarizes recent advances in gut‑skin axis research, explores its potential in the prevention and management of selected dermatoses and discusses future trends and scientific developments in the field.
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