Evidence map›Paper›PMID 41421796›Full record

ArticleAnnals of medicine2025

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

Qingtao Ni, Gaohua Han, Chi Pan

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qingtao NiDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Gaohua HanDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Chi PanDepartment of General Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPlasma cell mastitis (PCM) is a non-bacterial inflammatory breast disorder affecting young and middle-aged nonpregnant and nonlactating women. However, a comprehensive and systematic analysis of PCM has not been conducted. METHODS AND

resultsComprehensive cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) analysis was performed on 10,185 cells derived from PCM tissue to generate a highly detailed transcriptomic atlas. Thirteen distinct clusters were identified, and eight cell types were successfully annotated, including endothelial cells, common myeloid progenitor cells and neutrophils. Additionally, the overall alterations in immune cell composition in PCM patients were evaluated. Furthermore, differentially expressed genes between normal and PCM samples were assessed, and functional enrichment analysis was conducted. Finally, cellular communication and interaction were analysed to determine cell-to-cell communications.

conclusionThis study significantly contributes to the field of PCM, presenting a systematic and valuable perspective that serves as a fundamental resource for further exploration of the cellular and molecular mechanisms, pathogenesis of associated diseases and potential interventions.

Indexed as

Cellular MicroenvironmentMastitisPlasma CellsTranscriptomeAdultCell CommunicationFemaleGene Expression ProfilingHumansMiddle AgedNeutrophilsSingle-Cell Analysisimmune microenvironmentplasma cell mastitissignalling pathwaySingle-cell transcriptomics

Identifiers

PMID41421796
PMCPMC11702992

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.