Evidence map›Paper›PMID 40654481›Full record

ArticleJournal of dental sciences2025

Single-cell genomics reveals transcriptional heterogeneity and cellular crosstalk in salivary gland fibrosis.

Dan Liang, Wei Xu, Yifan Wu, Qicheng Ye, Wanlin Xu, Hao Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Dan LiangDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei XuDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
Yifan WuDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
Qicheng YeDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
Wanlin XuDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
Hao LuDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Disease, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Salivary gland fibrosis (SGF) is a prevalent condition associated with various pathological states. However, a detailed understanding of the single-cell transcriptional profiles and cell-cell communication networks in this context remains elusive. Therefore, we aimed to unveil the gene expression profiles and intercellular communication patterns in SGF. Materials and methods: We established fibrosis models of the submandibular gland (SMG) and generated a detailed single-cell transcriptomic atlas to investigate cellular heterogeneity and communication patterns. Utilizing CellChat, we dissected the intercellular dialogues within these fibrotic environments. Results: The analysis distinguished fifteen distinct cellular clusters, highlighting significant heterogeneity among fibroblasts in fibrotic SMGs compared to their healthy counterparts. This heterogeneity was linked to TGF-β signaling, collagen fibril assembly, and extracellular matrix organization. CellChat analyses uncovered enhanced cell-cell interactions, notably between fibroblasts and endothelial cells (ECs) via the Gas6-Axl signaling axis. Additionally, our data indicated the activation of cell adhesion molecules and Rap1 pathways in ECs within the fibrotic SMG microenvironment. Conclusion: This study offers an in-depth single-cell resolution perspective on the cellular and molecular changes in SMG fibrosis, identifying new potential therapeutic targets for this condition.

Indexed as

Endothelial cellSalivary gland fibrosisSingle-cell transcriptomics

Identifiers

PMID40654481
PMCPMC12254819

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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 OpenQuestion graph.