Evidence map›Paper›PMID 37317049›Full record

ReviewCell proliferation2023

Single-cell RNA sequencing in osteoarthritis.

Yuyuan Gu, Yan Hu, Hao Zhang, Sicheng Wang, Ke Xu, Jiacan Su

Open access · goldAbstract readReview
In one paragraph

Review in Cell proliferation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yuyuan GuInstitute of Translational Medicine, Shanghai University, Shanghai, China.
Yan HuInstitute of Translational Medicine, Shanghai University, Shanghai, China.
Hao ZhangInstitute of Translational Medicine, Shanghai University, Shanghai, China.
Sicheng WangInstitute of Translational Medicine, Shanghai University, Shanghai, China.
Ke XuInstitute of Translational Medicine, Shanghai University, Shanghai, China.
Jiacan SuInstitute of Translational Medicine, Shanghai University, Shanghai, China.ORCID https://orcid.org/0000-0001-7080-263X
Shanghai University · CN

Funding

Key Project of the National Natural Science Foundation of China 82230071National Key R&D Program of China Stem Cell and Translational Research 2018YFC2001500National Natural Science Foundation of China 82172098
6 · The paper itself

Abstract

Osteoarthritis is a progressive and heterogeneous joint disease with complex pathogenesis. The various phenotypes associated with each patient suggest that better subgrouping of tissues associated with genotypes in different phases of osteoarthritis may provide new insights into the onset and progression of the disease. Recently, single-cell RNA sequencing was used to describe osteoarthritis pathogenesis on a high-resolution view surpassing traditional technologies. Herein, this review summarizes the microstructural changes in articular cartilage, meniscus, synovium and subchondral bone that are mainly due to crosstalk amongst chondrocytes, osteoblasts, fibroblasts and endothelial cells during osteoarthritis progression. Next, we focus on the promising targets discovered by single-cell RNA sequencing and its potential applications in target drugs and tissue engineering. Additionally, the limited amount of research on the evaluation of bone-related biomaterials is reviewed. Based on the pre-clinical findings, we elaborate on the potential clinical values of single-cell RNA sequencing for the therapeutic strategies of osteoarthritis. Finally, a perspective on the future development of patient-centred medicine for osteoarthritis therapy combining other single-cell multi-omics technologies is discussed. This review will provide new insights into osteoarthritis pathogenesis on a cellular level and the field of applications of single-cell RNA sequencing in personalized therapeutics for osteoarthritis in the future.

Indexed as

Cartilage, ArticularOsteoarthritisBone and BonesChondrocytesEndothelial CellsHumansSequence Analysis, RNA

Identifiers

PMID37317049
PMCPMC10693192
OpenAlexW4380730812

What OpenQuestion 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 OpenQuestion graph.