Evidence map›Paper›PMID 41234689›Full record

ReviewFrontiers in physiology2025

Single-cell sequencing reveals cellular heterogeneity and molecular mechanisms in tendon and enthesis injury repair.

Tingming Pan, Zhong Dong, Hongjie Zhang, Fengmin Yang, Yating Chen

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The Role of Phagocytic Cells in the Achilles Tendon.International journal of molecular sciences · 2026
    Review
  3. Article
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

5 authors.

Tingming PanDepartment of Orthopedics, Fujian Provincial Second People's Hospital, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Zhong DongDepartment of Orthopedics, Fujian Provincial Second People's Hospital, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Hongjie ZhangDepartment of Orthopedics, Fujian Provincial Second People's Hospital, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Fengmin YangDepartment of Orthopedics, Fujian Provincial Second People's Hospital, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yating ChenDepartment of Orthopedics, Fujian Provincial Second People's Hospital, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tendon and enthesis injuries represent a significant global health challenge, severely impairing patient mobility and self-care abilities while imposing substantial medical burdens. Main Body: Poor clinical outcomes in tendon healing stem from the complex enthesis, which involves diverse cell types and signaling pathways. Recent advances in single-cell sequencing technologies have revealed detailed cellular diversity and function in tendon and tendon-bone healing. Using multimodal integration, researchers have identified precise subpopulations of tendon and enthesis cells. They have also clarified cell-to-cell crosstalk and mapped differentiation paths during healing. Conclusion: These new findings, guided by emerging methodological advancements. They offer innovative perspectives for developing targeted clinical interventions for tendon and enthesis injury.

Indexed as

cellular interactionsenthesis healingimmune regulationsingle-cell sequencingtendon healing

Identifiers

PMID41234689
PMCPMC12605242

What Socratic holds

Textmetadata
LicenceCC BY
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.