Evidence map›Paper›PMID 39720254›Full record

ArticleFrontiers in endocrinology2024

Single-cell profiling uncovers synovial fibroblast subpopulations associated with chondrocyte injury in osteoarthritis.

Zezhong Liu, Yongqi Sun, Jiaoyi Pan, Kechun Guo, Zhi Tang, Xiaofeng Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Zezhong Liu *Spinal Surgery, Zhejiang Chinese Medical University Affiliated Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, China.
Yongqi SunThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jiaoyi PanThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Kechun GuoThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Zhi Tang *Bonesetting Center, Xiangtan Chinese Medicine Hospital, Xiangtan, Hunan, China.
Xiaofeng Wang *Spinal Surgery, Zhejiang Chinese Medical University Affiliated Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chondrocytes and synovial cells participate in the pathogenesis of osteoarthritis (OA). Nonetheless, the interactions and correlations between OA synovial cells and chondrocytes remain unclear. This study aims to elucidate the interactions and correlations between OA synovial cells and chondrocytes, so as to deepen understanding of OA pathogenesis. Methods: Single-cell sequencing analysis was employed to analyze clusters of synovial and chondrocyte cells within the OA dataset. Through cell interaction analysis, the potential interactions between these two cell types were further explored. Differential gene expression analysis was used to examine the differences among synovial-related cell clusters. Results: The study identified specific characteristics of synovial fibroblasts through single-cell sequencing analysis. Subsequent cell interaction analysis revealed interactions and correlations between synovial fibroblast clusters and cell clusters in both damaged and non-damaged cartilages. Conclusion: Our study elucidated the interactions and correlations between OA synovial cells and chondrocytes.

Indexed as

ChondrocytesFibroblastsOsteoarthritisSingle-Cell AnalysisSynovial MembraneCell ProliferationFemaleGene Expression ProfilingHumansMalechondrocytesinteractionosteoarthritispathogenesissynovial fibroblasts

Identifiers

PMID39720254
PMCPMC11666364

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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.