ArticleFrontiers in immunology2025
Single-cell RNA sequencing analysis reveals cell landscape and gene signatures associated with granulomatous lobular mastitis.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Inflammasome-derived biomarkers in wound healing: linking tissue repair, chronic inflammation, fibrosis, and precision therapeutics.Molecular biology reports · 2026Review
- An endocrine microbe immunity framework for granulomatous mastitis toward phenotype-oriented interpretation.iScience · 2026Review
- Prolactin-Linked Plasma Cell-Macrophage Immune Phenotype in Synchronous Bilateral Plasma Cell Mastitis: A Two-Center Prediction Study with Tissue Correspondence.International journal of women's health · 2026Article
- Tuoli Tounong decoction promotes lesion resolution in granulomatous lobular mastitis by remodeling a Caspase-8-associated PANoptosis-like cell death network.Frontiers in immunology · 2026Article
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Authors and funding
8 authors.
Funding
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Abstract
Background: Granulomatous lobular mastitis (GLM) is a refractory chronic inflammatory breast disease characterized by granuloma formation and recurrent abscesses, yet its molecular pathogenesis remains poorly understood. To address this knowledge gap, we aimed to systematically compare the immune microenvironment between GLM and healthy breast tissues, reveal disease-associated cellular subpopulations, and characterize key dysregulated genes and pathways driving GLM pathogenesis. Methods: We performed single-cell RNA sequencing (scRNA-seq) on breast tissue samples from 3 patients with GLM and 3 healthy controls. The sequencing data were subjected to cell clustering, cell abundance comparison, and differential gene analysis to assess immune microenvironment differences. We performed macrophage subtyping and revealed differentially expressed genes. Using GO/KEGG analysis, we characterized signaling pathway disparities in M1 macrophages to investigate potential pathogenic mechanisms. Results: 11 major cell types were detected through scRNA-seq. In GLM tissues, immune cell infiltration was significantly increased ( Conclusion: To our knowledge, this is the first scRNA-seq study of GLM, identifying 11 major cellular populations and implicating macrophages-especially M1 subtype-as central to disease immunopathology. We report dysregulated expression of CD64, NADPH oxidase components, and TRAIL, prompting the hypothesis that phagocytic function may be impaired and nominating this axis as a potential therapeutic target.
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