Evidence map›Paper›PMID 40059139›Full record

ArticleJournal of orthopaedic surgery and research2025

Effects of TGF-β3 on meniscus repair using human amniotic epithelial cells.

Yupeng He, Ya Li, Xiaodong Zhi, Yuqiang Zhang, Wei Wang

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yupeng He *First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121,000, China.
Ya Li *First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121,000, China.
Xiaodong ZhiFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121,000, China.
Yuqiang ZhangFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121,000, China. zhangyuqiang1981@163.com.
Wei WangFirst Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121,000, China. JYDGYS@126.com.

Funding

Preclinical study on the application of hAECs (hAECs EXOs) for knee joint repair via tissue engineering regenerative medicine grant number 2020002Study on the risk correlation of osteoporotic vertebral compression fractures based on radiomics combined with biomarker detection grant number LJ212410160006
6 · The paper itself

Abstract

backgroundMeniscus injury is one of the most common knee diseases, which is managed through conservative and surgical treatments. In recent years, biotherapy has shown great potential to treat various symptoms caused by meniscus injury repair. Human amniotic epithelial cells (hAECs), which are easy to acquire, non-tumorigenic, and high tri-lineage differentiation potential, are a promising cell source for biotherapy and tissue engineering applications. Studies have demonstrated that the Transforming Growth Factor-β3 (TGF-β3) can facilitate chondrocyte differentiation and maturation.

methodsBoth in vitro test and in vivo test were employed. In the in vitro test, human amniotic epithelial cells (hAECs), human amniotic mesenchymal stem cells (hAMCs), and fibrochondrocytes (FCs) were extracted and identified by flow cytometry and immunohistochemistry (IHC). These cells were treated with TGF-β3 for one week, followed by IHC staining and qPCR to explore TGF-β3-induced fibrocartilage formation in hAECs. In the in vivo tests, a meniscus injury model was established based on rabbits, and the Sham, the control (normal saline), and the hAECs + TGF-β3 groups were used. Additionally, the meniscus was collected and checked through general examination and IHC analysis 90 d after surgery.

resultsRoutine transcriptome analysis confirmed that TGF-β3 induced the differentiation of amniotic epithelial cells (hAECs) into fibrochondrocytes through the Wnt signaling pathway. This finding was corroborated using Western blot (WB) and quantitative PCR (QPCR). Among the five experimental groups, the highest expression of target proteins and genes was detected in hAECs + TGF-β3 group, followed by the hAECs + hAMCs + TGF-β3 group, the hAMCs + TGF-β3 group, the hAECs + FCs group, and the FCs group. The observed differences were statistically significant (P < 0.05). In vivo, treatment with hAECs + TGF-β3 facilitated effective repair of damaged menisci.

conclusionshAECs + TGF-β3 can potentially promote the healing of meniscus injuries, laying the foundation for further research to promote its clinical translation.

trial registrationNot applicable.

Indexed as

AmnionEpithelial CellsTibial Meniscus InjuriesTransforming Growth Factor beta3Wound HealingAnimalsCell DifferentiationCells, CulturedFemaleHumansMesenchymal Stem CellsRabbitsTissue EngineeringTransforming Growth Factor beta3BiotherapyHuman amniotic epithelial cells (hAECs)Meniscus injuryTGF-β3

Identifiers

PMID40059139
PMCPMC11892189

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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.