ArticleSmart medicine2025
Mechanistic Insights Into Overloading-Induced Terminal Differentiation of TMJ Condylar Cartilage at the Single Cell Level.
Dian Zhou, Yiling Jiang, Yingcui Li, Huanyu Zeng, Xinchun Li, Yufang He, Xin Wang, Yiteng Liang, Vojtech Parizek, Ousheng Liu and 2 more
Abstract read
In one paragraphArticle in Smart medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Dian ZhouHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.ORCID https://orcid.org/0000-0003-1677-7802 Yiling JiangHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Yingcui LiDepartment of Biology University of Hartford West Hartford Connecticut USA.
Huanyu ZengHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Xinchun LiHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Yufang HeHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Xin WangHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Yiteng LiangHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Vojtech ParizekHradec Králové University Hospital Hradec Králové Czech Republic.
Ousheng LiuHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Zhangui TangHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Yueying ZhouHunan Key Laboratory of Oral Health Research Hunan 3D Printing Engineering Research Center of Oral Care Hunan Clinical Research Center of Oral Major Diseases and Oral Health Xiangya Stomatological Hospital Xiangya School of Stomatology Central South University Changsha China.
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
The incidence of temporomandibular joint (TMJ) degeneration has been steadily increasing, with overloading identified as a major risk factor. This condition often leads to condylar cartilage degeneration, significantly affecting patients' quality of life; however, the molecular mechanisms underlying this process remain poorly understood, and effective treatments are still lacking. We utilized single-nucleus RNA sequencing to analyze the condylar cartilage in an overloading mouse model. This approach enabled the identification of 11 distinct cell types within the condylar chondrocytes. Through the application of pseudotime trajectory Analysis and cellchat analyses, we identified the key gene Acvr1b and its associated signaling pathway, which are crucial for regulating the terminal differentiation of condylar chondrocytes. This study utilized single-nucleus RNA sequencing and in vitro validation to investigate the role of Acvr1b in TMJ cartilage degeneration under overloading stress. Our findings reveal key pathways involved in chondrocyte differentiation, providing a theoretical basis for the development of targeted therapeutic interventions.
Indexed as
Acvr1bcondylar cartilagesingle celltemporomandibular jointterminal differentiation
Identifiers
PMID40837199
PMCPMC12362756
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390