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Distinct mural cells and fibroblasts drive fibrochondrogenesis in retrodiscal tissue following temporomandibular joint disc displacement
Wenlin Yuan, Yilin Chen, Ruojin Yan, Wei Liu, Chenyu Wang, Ying Wang, Qiaoli Dai, Wen Li, Mengqi Zhu, Xiao Chen, Jiejun Shi
Wenlin Yuan, Yilin Chen, Ruojin Yan, Wei Liu, Chenyu Wang, Ying Wang, Qiaoli Dai, Wen Li, Mengqi Zhu, Xiao Chen, Jiejun Shi
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Research Article Bone biology Cell biology

Distinct mural cells and fibroblasts drive fibrochondrogenesis in retrodiscal tissue following temporomandibular joint disc displacement

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Abstract

Adaptive remodeling of retrodiscal tissue following anterior disc displacement (ADD) of the temporomandibular joint (TMJ) has been recognized for decades, yet the underlying cellular dynamics and molecular mechanisms remain unclear. Using a porcine ADD model, this study investigated the cellular and molecular basis driving retrodiscal tissue adaptation. Histological staining revealed adaptive remodeling of retrodiscal tissue after ADD induction, with dense connective tissue and cartilaginous masses replacing loose connective tissue. Single-cell RNA-Seq captured pronounced fibroblast expansion during tissue remodeling, notably the FB2 subcluster with high developmental potential, and the emergence of a mural cell subcluster, MC4, associated with extracellular matrix (ECM) remodeling. CellChat analysis highlighted MC4-FB2 crosstalk via FGF2 and BMP5 signaling. The combination of pathway-aware multilayered hierarchical network (P-NET) and Seurat with drug database screening identified 5 promising compounds. Among them, zaprinast demonstrated the most robust effects by enhancing the remodeling capability of fibroblasts in vitro and alleviated TMJ deformation in vivo. Collectively, fibroblast activation is pivotal for early retrodiscal tissue adaptation after ADD, which is driven by MC4-derived FGF2/BMP5 signaling. Zaprinast treatment potentiates this remodeling process. These findings provide potentially new insights into the cellular basis of TMJ adaptation and identify potential therapeutic targets for ADD management.

Authors

Wenlin Yuan, Yilin Chen, Ruojin Yan, Wei Liu, Chenyu Wang, Ying Wang, Qiaoli Dai, Wen Li, Mengqi Zhu, Xiao Chen, Jiejun Shi

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Figure 2

Characterization of FB subtypes participating in adaptive remodeling of the RT.

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Characterization of FB subtypes participating in adaptive remodeling of ...
(A) Dimension reduction presentation of combined single-cell transcriptome data of FB cluster from TMJ discs and RTs of all groups. Six subclusters of FBs are identified and visualized by a t-distributed stochastic neighbor embedding (t-SNE) plot. (B) Dimension reduction presentation of single-cell transcriptome data of FB cluster in sham, ADD, and CADD groups from TMJ discs and RTs via t-SNE, displayed separately by tissue origins and groups. (C) Bar graph shows the fraction of FB subclusters by tissue origins and groups. (D) Violin plots show the expression of differentially expressed genes (DEGs) in different FB subclusters. Expression values are normalized. (E) Dot plot of Gene Ontology (GO) Biological Process enrichment analysis of DEGs in different FB subclusters. (F) Expression of extracellular matrix (ECM) markers in different FB clusters. Monocle analysis shows the trajectory order of FBs colored by pseudo-time value (G) and cell type (H). (I) Density distribution of FB subclusters along pseudo-time. (J) Representative images of TMJ discs and RTs subjected to immunofluorescence staining for APOE in different groups and quantification (K); 3 random fields were selected from each of the 2 pig samples for measurement. Statistical significance was determined by 1-way ANOVA. Data represent mean ± SD. *P < 0.05, ***P < 0.001. Green, APOE; blue, DAPI; white arrowhead, cells expressing APOE. Scale bars: 100 μm.

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ISSN 2379-3708

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