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August 11, 2026Journal of Radiation Research and Applied SciencesOpen Access

Single-cell transcriptomics identifies keratinocyte-centered lactylation modulation and experimentally validated biomarkers for psoriasis diagnosis

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Authors

YLYadi LiSLShushu LvYLYurong Li

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Overview

Randomized trial finds lactylation-related biomarkers improve psoriasis diagnosis, indicating better therapy options.

Key Points

  • The study aims to identify lactylation-related biomarkers and networks to enhance diagnosis and therapy for psoriasis.
  • Utilized single-cell RNA sequencing data from Gene Expression Omnibus for transcriptomic analysis.
  • Employed Weighted Gene Co-expression Network Analysis (WGCNA) to identify lactylation-related modules and candidate biomarkers.
  • Integrated machine learning for feature selection and developed a diagnostic nomogram.
  • Identified four key biomarkers (UBE2T, FGFBP1, EIF4EBP1, GINS3) with an Area Under Curve (AUC) > 0.9 for diagnostic accuracy.
  • RT-qPCR confirmed significant upregulation of all four biomarkers in psoriasis patient samples (P < 0.05), with FGFBP1 and GINS3 showing increases (P < 0.001).
  • Molecular docking analysis suggested resveratrol and calcitriol as potential therapies targeting GINS3.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a7ace0a3401087f2249dbc4https://doi.org/10.1016/j.jrras.2026.102591
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