Evidence map›Paper›PMID 39867946›Full record

ArticleJournal of inflammation research2025

Single-Cell RNA-Seq Uncovers Cellular Heterogeneity from Deep Fascia in Necrotizing Fasciitis Patients.

Tao Wang, Liping Zhang, Wei Chen, Yubin Long, Yingze Zhang, Ling Wang, Zhiyong Hou

Abstract read
In one paragraph

Article in Journal of inflammation research, 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. Review
  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

7 authors.

Tao Wang *Department of Lower Limb Trauma, Beijing Jishuitan Hospital, Guizhou Hospital, Guiyang, Guizhou, People's Republic of China.
Liping Zhang *Department of Physiology, Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Wei ChenDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yubin LongDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yingze ZhangDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Ling WangDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Zhiyong HouDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Necrotizing fasciitis (NF) is a scarce but potentially life-threatening infection. However, no research has reported the cellular heterogeneity in patients with NF. We aim to investigate the change of cells from deep fascia in response to NF by single-cell RNA-seq. Methods: Fascia samples from NF patients (NF group, NG, n = 3) and volunteer (control group, CG, n = 4) were obtained and we utilized scRNA-seq to observe the variation of cells and differentially expressed genes. Then, multiplex staining and multispectral imaging and immunohistochemistry were used to be further verified. Results: Our findings showed that three fibroblast subclusters (antigen-presenting Fib, mesenchymal Fib, and myoFib) and three macrophage subclusters (SPP1 Conclusion: Our findings revealed the potential anti-infection role of deep fascia during the procession of NF, helping us understand the immunologic function of fascia and provide novel insights for its therapeutic strategies for NF.

Indexed as

deep fasciafibroblastM1/M2 polarizationnecrotizing fasciitissingle-cell RNA-seq

Identifiers

PMID39867946
PMCPMC11766720

What OpenQuestion 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 OpenQuestion graph.