Pan L, Li C, Yang L (2026)
Publication Type: Journal article
Publication year: 2026
Pages Range: 1-17
DOI: 10.1159/000551293
Abstract – Introduction: Alopecia areata (AA) is an autoimmune hair-loss disorder driven by aberrant T-cell activation and immune-epithelial crosstalk. To identify actionable upstream regulators, we established a proteome-anchored multi-omics framework integrating genetic instruments, lesional transcriptomics, and single-cell immune profiling. Methods: Putative causal plasma proteins were prioritized using cis-protein quantitative trait loci-based inference across two large proteomic datasets (UKB-PPP and deCODE). Candidates were validated by differential expression in AA lesions, protein-interaction networks, and cell-type-resolved expression from scalp single-cell RNA-seq. Druggability was assessed using curated pharmacological resources, and PheWAS evaluated safety-relevant pleiotropy. Results: The pipeline identified 206 and 169 AA-associated proteins, with CD28, GZMB, and CD1C emerging as convergent immune regulators. Single-cell data showed enrichment of CD28+ effector T cells and CD1C+ myeloid subsets in lesions, linking circulating protein signals with local inflammation. Transcriptomic patterns implicated IL-2-modulated CD28 signaling and antihistamine-responsive pathways. Druggability analyses highlighted belatacept, a CD28-blocking biologic, while PheWAS indicated minimal adverse-phenotype enrichment. Conclusion: This proteome-driven framework uncovers druggable immune regulators of AA, positioning CD28 as an actionable target with a favorable safety profile and providing a generalizable strategy for autoimmune target discovery.
APA:
Pan, L., Li, C., & Yang, L. (2026). Plasma Proteome-Driven Identification of Druggable Immune Regulators of Alopecia Areata, Validated by Transcriptome and Single-Cell Mapping. , 1-17. https://doi.org/10.1159/000551293
MLA:
Pan, Lingfeng, Caihong Li, and Liehao Yang. "Plasma Proteome-Driven Identification of Druggable Immune Regulators of Alopecia Areata, Validated by Transcriptome and Single-Cell Mapping." (2026): 1-17.
BibTeX: Download