Single-cell transcriptomics reveals an abnormal immune microenvironment in plasma cell mastitis

Qingtao Ni1, Gaohua Han1, Chi Pan2

  • 1Department of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.

Annals of Medicine
|December 20, 2025
PubMed

Insights

This study provides a detailed cellular and molecular analysis of plasma cell mastitis (PCM), revealing key immune cell alterations and gene expression changes. The findings offer a foundational resource for understanding PCM pathogenesis and developing new treatments.

Area of Science:

  • Immunology
  • Genomics
  • Cell Biology

Background:

  • Plasma cell mastitis (PCM) is a non-bacterial inflammatory breast disorder affecting women of reproductive age.
  • A comprehensive analysis of the cellular and molecular landscape of PCM is lacking.

Purpose of the Study:

  • To conduct a systematic, high-resolution analysis of the cellular and molecular characteristics of plasma cell mastitis.
  • To identify key cell types, gene expression patterns, and cellular interactions in PCM tissue.

Main Methods:

  • Utilized Comprehensive Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) on 10,185 cells from PCM tissue.
  • Performed differential gene expression analysis, functional enrichment, and cellular communication analysis.

Main Results:

  • Generated a detailed transcriptomic atlas of PCM, identifying thirteen distinct cell clusters and annotating eight cell types, including endothelial cells, common myeloid progenitor cells, and neutrophils.
  • Revealed significant alterations in immune cell composition and differential gene expression between normal and PCM samples.
  • Analyzed cellular communication networks to understand cell-to-cell interactions within the PCM microenvironment.

Conclusions:

  • This study presents a systematic and valuable perspective on the cellular and molecular mechanisms underlying plasma cell mastitis.
  • The generated data serves as a fundamental resource for future research into PCM pathogenesis, associated diseases, and potential therapeutic interventions.
Abstract