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January 25, 2026Endocrine Metabolic & Immune Disorders - Drug Targets

Single-Cell RNA Sequencing Revealing Dysregulated Perturbations of Tregs in Psoriasis and Construction of a Treg-Related Diagnostic Model via a 101- Combination Machine Learning Computational Framework

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Authors

ZHZhihao HuangYSYuan SuiSLShengxiu Liu

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Overview

Using machine learning, this study identifies regulatory T cell disruptions in psoriasis, suggesting new diagnostic approaches.

Key Points

  • The research aims to explore dysfunction in regulatory T cells (Tregs) in psoriasis and to develop a diagnostic model based on gene signatures.
  • Analysis of scRNA-seq data from skin samples of psoriasis patients and healthy controls
  • Utilization of pseudotime and cell-cell communication analyses to study Treg origins and interactions
  • Application of hdWGCNA, LASSO, and XGBoost for identifying critical Treg-associated gene signatures
  • Construction of a diagnostic model using different machine learning algorithms
  • Identification of five key Treg-related genes linked to psoriasis
  • Significant upregulation of metabolic reprogramming genes in psoriatic lesions
  • Positive correlation between Treg gene signature scores and psoriasis severity scores (PASI)
  • Demonstration of impaired Treg functionality and engagement in autocrine signaling in psoriasis.
  • Successful validation of gene expression in a psoriasis-mimetic model

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6975b2aefeba4585c2d6e296https://doi.org/10.2174/0118715303430490251129080240
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Single-cell analysis and machine learning identify psoriasis-associated CD8+ T cells serve as biomarker for psoriasis2024 · 6 citations
  2. 2Transcriptomic characterization of key psoriasis-associated genes based on single-cell RNA-seq and machine learning2026
  3. 3Discovery of biomarkers in the psoriasis through machine learning and dynamic immune infiltration in three types of skin lesions2024 · 19 citations
  4. 4Single-cell multi-omics of ribosome biogenesis-related genes reveals immune microenvironment in psoriasis and constructs a diagnostic model2025 · 1 citations
  5. 5Single-cell transcriptomics identifies keratinocyte-centered lactylation modulation and experimentally validated biomarkers for psoriasis diagnosis2026