Excessive mechanical stimulation is considered an important factor in the destruction of chondrocytes. Focal adhesion kinase (FAK) is non-receptor tyrosine kinase related to a number of different signaling proteins. Little is known about the function of FAK in chondrocytes under mechanical stimulation. In the present study, we investigated the function of FAK in mechanical signal transduction and the mechanism through which cyclic tensile strain (CTS) induces expression of inflammation-related factors. Mouse ATDC5 chondrogenic cells were subjected to CTS of 0.5 Hz to 10% cell elongation with an FAK inhibitor. The expression of genes encoding COX-2, IL-1β, and TNF-α was examined using real-time RT-PCR after CTS application with FAK inhibitor. Phosphorylation of p-38, ERK, and JNK was analyzed by Western blotting. Differences in COX-2 expression following pretreatment with FAK, p-38, ERK, and JNK inhibitors were compared by Western blotting. We found that CTS increased the expression of genes encoding COX-2, IL-1β, and TNF-α and activated the phosphorylation of FAK, p-38, ERK, and JNK. Pretreatment with an FAK inhibitor for 2 h reduced the expression of genes encoding COX-2, IL-1β, and TNF-α induced by CTS-associated inflammation and decreased phosphorylation of FAK, p-38, ERK, and JNK. Pretreatment with FAK, p-38, ERK, and JNK inhibitors markedly suppressed COX-2 and IL-1β protein expression. In conclusion, FAK appears to regulate inflammation in chondrocytes under CTS via MAPK pathways.
Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients with temporomandibular disorders includes patients with different forms of articular disc displacement and deformation. Here, we propose a fully automated articular disc detection and segmentation system to support the diagnosis of temporomandibular disorder on magnetic resonance imaging. This system uses deep learning-based semantic segmentation approaches. The study included a total of 217 magnetic resonance images from 10 patients with anterior displacement of the articular disc and 10 healthy control subjects with normal articular discs. These images were used to evaluate three deep learning-based semantic segmentation approaches: our proposed convolutional neural network encoder-decoder named 3DiscNet (Detection for Displaced articular DISC using convolutional neural NETwork), U-Net, and SegNet-Basic. Of the three algorithms, 3DiscNet and SegNet-Basic showed comparably good metrics (Dice coefficient, sensitivity, and positive predictive value). This study provides a proof-of-concept for a fully automated deep learning-based segmentation methodology for articular discs on magnetic resonance images, and obtained promising initial results, indicating that the method could potentially be used in clinical practice for the assessment of temporomandibular disorders.
Background Angiopoietin-like protein 2 (ANGPTL2) is a secreted molecule with numerous physiologic and pathologic functions, for example, in angiogenesis, hematopoiesis, and tumorigenesis. Although recent studies implicated ANGPTL2 in chronic inflammation in mouse peritoneal macrophages, human ligamentum flavum fibroblasts, and human retinal microvascular endothelial cells, the mechanism underlying ANGPTL2-associated inflammation in chondrocytes remains unclear. Therefore, it was investigated whether ANGPTL2 is expressed in or functions in chondrocytes. Methods Expression of ANGPTL2 and its receptor, integrin α5β1 were examined over time in ATDC5 cells using real-time RT-PCR (reverse transcription–polymerase chain reaction) analysis. ATDC5 cells were then incubated with or without ANGPTL2 for 3 hours, and expression of the IL-1β, TNF-α, COX-2, aggrecanase (ADAMTS)-5, matrix metalloproteinase (MMP)-3, and MMP-13 genes were examined using real-time RT-PCR. Additionally, phosphorylation of ERK, JNK, p38, Akt, and NF-κB was examined by western blotting. Furthermore, it was also investigated for the effect of anti-integrin α5β1 antibody on the expression of inflammatory markers and intracellular signaling pathways. Results ANGPTL2 induced the phosphorylation of all 3 MAPKs, Akt, and NF-κB and dramatically upregulated the expression of inflammation-related factor genes. Inhibiting the activation of integrin α5β1 suppressed these reactions. Conclusion ANGPTL2 may induce inflammatory factors by stimulating the integrin α5β1/MAPKs, Akt, and NF-κB signaling pathway.
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