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MINI REVIEW article

Front. Pharmacol.

Sec. Experimental Pharmacology and Drug Discovery

This article is part of the Research TopicAdvances in Biomarkers and Drug Targets: Harnessing Traditional and AI Approaches for Novel Therapeutic MechanismsView all 21 articles

Fatty Acid–Related Immune Network in Psoriasis: Metabolic Regulation of Innate and Adaptive Immunity

Provisionally accepted
  • Department of Dermatovenerology, West China Hospital of Sichuan University, Chengdu, China

The final, formatted version of the article will be published soon.

Psoriasis is a chronic inflammatory skin disorder driven by dysregulation of the Treg/Th17 axis, where enhanced Th17 activity promotes keratinocyte proliferation and inflammation, while impaired Treg function exacerbates immune dysregulation. Emerging evidence highlights peroxisome proliferator-activated receptor γ (PPARγ) as a key regulator of fatty acid oxidation (FAO), a metabolic pathway critical for Treg differentiation and function. PPARγ activation enhances FAO via upregulation of CD36, CPT1, and AMPK signaling, while suppressing glycolysis, thereby skewing the Treg/Th17 balance toward immune tolerance. Concurrently, short-chain fatty acids (SCFAs), microbial metabolites with immunomodulatory properties. ameliorate psoriatic inflammation by promoting Treg expansion, inhibiting Th17 polarization, and modulating innate immune cells (neutrophils, dendritic cells, and macrophages). SCFAs exert their effects through receptor-dependent signaling and epigenetic mechanisms (HDAC inhibition), while derivative compounds and probiotic interventions enhance therapeutic potential. This review summarizes mechanistic insights into PPARγ-driven FAO and SCFA-mediated immunomodulation, proposing novel metabolic and microbiome-targeted strategies for psoriasis treatment.

Keywords: fatty acid oxidation, Immunomodulation, Peroxisome proliferator-activated receptor γ, Psoriasis, short-chain fatty acids, Treg/Th17 axis

Received: 24 Oct 2025; Accepted: 02 Feb 2026.

Copyright: © 2026 Wen, Zhuo and Xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Siliang Xue

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