Primate Monocytes - CD14, CD16 - Ziegler-Heitbrock

Integrated multi-dimensional analyses reveal a BTN3A2-centered diagnostic risk score and a monocyte-T cell axis as central drivers of dermatomyositis.

Abstract

BACKGROUND AND AIM: Dermatomyositis (DM) is an immune-mediated myopathy marked by chronic inflammation and heterogeneous clinical trajectories. The molecular determinants driving disease onset and progression remain poorly defined. This study aimed to construct a high-accuracy diagnostic risk model, identify causally relevant genes, and uncover cell-type-specific immune circuits contributing to DM pathogenesis, with emphasis on BTN3A2. METHODS: We integrated three bulk transcriptomic datasets to identify dysregulated genes and performed functional enrichment analyses. An 18-gene diagnostic risk score was generated using LASSO and validated externally. Summary-based Mendelian randomization with tissue-specific eQTLs was applied to identify causal genes. Single-cell RNA sequencing (GSE190684) was analyzed to map cellular heterogeneity, quantify risk-score and BTN3A2 distributions, and evaluate ligand-receptor communication across clinical states and expression subgroups. RESULTS: Bulk analyses identified 2,051 dysregulated genes enriched in antiviral responses, antigen presentation, and immune activation. Summary-data based Mendelian Randomization (SMR) uncovered 85 causal genes shared across skin and muscle, converging on MHC-related and autoimmune pathways. Integrating causal and transcriptional evidence yielded 16 core DM genes, highlighting BTN3A2 for its potential dual diagnostic and suggestive causal relevance. The 18-gene risk score demonstrated excellent predictive performance (AUC 0.957/0.724). Single-cell profiling revealed that both the risk score and BTN3A2 were predominantly enriched in CD14+/CD16+ monocytes and T-cell subsets. Cell-cell communication analysis identified a monocyte-derived LGALS9-CD44/CD45 signaling axis as the key interaction pathway distinguishing clinical states and risk groups. CONCLUSION: This multi-omics study establishes a precise diagnostic risk score and suggests that BTN3A2 may serve as a mechanistically relevant biomarker in DM. The discovery of an LGALS9-CD44/CD45 monocyte-T cell circuit provides new insight into DM immunopathology and highlights actionable targets for precision diagnosis and therapy. Key points An externally validated, high-accuracy 18-gene diagnostic risk score was established, providing a robust molecular tool for precision risk stratification in dermatomyositis. BTN3A2 emerged as a gene with both diagnostic significance and genetic causal relevance, positioning it as a pivotal regulator of dermatomyositis immunopathology. Single-cell RNA sequencing identified CD14+/CD16+ monocytes and T-cell subsets as the major cellular sources driving elevated risk and BTN3A2 overexpression, while intercellular communication analysis uncovered a monocyte-derived LGALS9-CD44/CD45 axis that mechanistically links genetic risk, transcriptional activation, and immune dysfunction. These findings delineate a mechanistic, multi-dimensional framework that integrates diagnostic markers, genetic susceptibility, and cell-cell signaling, offering translational insights for precision diagnostics and targeted immunotherapies in dermatomyositis.