Evidence map›Paper›PMID 40722047›Full record

ArticleMilitary Medical Research2025

Accelerating cartilage regeneration with DNA-SF hydrogel sustained release system-based cartilage organoids.

Cong-Yi Shen, Qi-Rong Zhou, Xiang Wu, Xin-Yu Han, Qin Zhang, Xiao Chen, Yu-Xiao Lai, Long Bai, Ying-Ying Jing, Jian-Hua Wang and 3 more

Abstract read
In one paragraph

Article in Military Medical Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Liquid-Responsive Shape-Memory Nanofiber-Reinforced Scaffolds for Cartilage Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  11. Bioactive materials · 2026
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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

13 authors.

Cong-Yi Shen *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Qi-Rong Zhou *Department of Orthopedics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Xiang Wu *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Xin-Yu Han *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Qin ZhangInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Xiao ChenInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Yu-Xiao LaiCentre for Translational Medicine Research and Development, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China.
Long BaiInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Ying-Ying JingInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jian-Hua WangDepartment of Orthopedics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China. shwangjianhua@gmail.com.
Cheng-Long WangDepartment of Orthopedics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China. wangorth@163.com.
Zhen GengInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China. nanboshan1987@163.com.
Jia-Can SuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China. drsujiacan@163.com.ORCID 0000-0001-7080-263X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCartilage repair remains a considerable challenge in regenerative medicine. Despite extensive research on biomaterials for cartilage repair in recent years, issues such as prolonged repair cycles and suboptimal outcomes persist. Organoids, miniature three-dimensional (3D) tissue structures derived from the directed differentiation of stem or progenitor cells, mimic the structure and function of natural organs. Therefore, the construction of cartilage organoids (COs) holds great promise as a novel strategy for cartilage repair.

methodsThis study employed a digital light processing system to perform 3D bioprinting of a DNA-silk fibroin (DNA-SF) hydrogel sustained-release system (DSRGT) with bone-marrow mesenchymal stem cells (BMSCs) to construct millimeter-scale cerebral organoids. COs at different developmental stages were characterized, and the COs with the best cartilage phenotype were selected for in vivo cartilage repair in a rat articular cartilage defect model.

resultsThis study developed a DSRGT by covalently grafting glucosamine (which promotes cartilage matrix synthesis) and TD-198946 (which promotes chondrogenic differentiation) onto a hydrogel using acrylic acid-polyethylene glycol-N-hydroxysuccinimide (AC-PEG-NHS). In vitro, 4-week COs exhibited higher SRY-box transcription factor 9 (SOX9), type II collagen (Col II), and aggrecan (ACAN) expression and lower type I collagen (Col I) and type X collagen (Col X) expression, indicating that 4 weeks is the optimal culture duration for hyaline cartilage development. In vivo, the mitogen-activated protein kinase (MAPK) signaling pathway was upregulated in 4-week COs, enabling cartilage repair within 8 weeks. Transcriptomic analysis revealed that cartilage regenerated with 4-week COs presented gene expression profiles resembling those of healthy cartilage.

conclusionsThis study employs DSRGT to construct COs, providing an innovative strategy for the regeneration of cartilage defects.

Indexed as

CartilageOrganoidsRegenerationAnimalsCartilage, ArticularDNAHydrogelsMesenchymal Stem CellsRatsTissue EngineeringDNAHydrogelsCartilage organoid (COs)Cartilage repairChondrogenesisDNA-silk fibroin hydrogelGlucosamineTD-198946

Identifiers

PMID40722047
PMCPMC12302690

What OpenQuestion holds

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LicenceCC BY
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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.