Evidence mapPaperPMID 40510239Full record

ReviewJournal of orthopaedic translation2025

From cells to clinic: Single-cell transcriptomics shaping the future of orthopedics.

Qiuyuan Wang, Moli Huang, Jiong Jiong Guo

Abstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors.

Qiuyuan WangDepartment of Orthopedics and Sports Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Moli HuangSchool of Biology and Basic Medical Sciences, Soochow University, Suzhou, 215123, China.
Jiong Jiong GuoDepartment of Orthopedics and Sports Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) technology hold significant potential for advancing orthopedic research. This review examines the impact of ScRNA-seq on the future development of orthopedic research and practice. In the study of osteoarthritis, scRNA-seq can finely characterize the changes in the subsets of chondrocytes and their role in disease progression. In rheumatoid arthritis, this technique reveals the complex heterogeneity and cell-to-cell interactions between fibroblasts and immune cells. ScRNA-seq offers insights into the heterogeneity of nucleus pulposus, annulus fibrosus, and endplate cells, providing a novel perspective on the pathological mechanisms of intervertebral disc degeneration. Single-cell analysis in osteosarcoma research has uncovered the complexity of the tumor microenvironment and mechanisms of immunosuppression. Through these studies, scRNA-seq enhances insights into disease pathogenesis and offers innoviate approaches for precision medicine and personalized treatment strategies. The Translational Potential of this Article: This article systematically reviews the cellular heterogeneity, molecular mechanisms and immune microenvironment of orthopedic diseases (such as osteoarthritis, rheumatoid arthritis, intervertebral disc degeneration, osteosarcoma) by single-cell RNA sequencing (scRNA-seq), which provides a theoretical basis for accurate diagnosis, new therapeutic target discovery (such as TRPV1, CXCR4) and individualized treatment strategies. The combination of multi-omics and spatial transcriptome technology is expected to accelerate clinical translation and optimize the diagnosis and treatment system of orthopedic diseases.

Indexed as

Intervertebral disc degenerationOrthopedicOsteoarthritisOsteosarcomaRheumatoid arthritisSingle-cell RNA sequencing

Identifiers

PMID40510239
PMCPMC12158553

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.