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Tianyi Wu,Wenxiao Qi,Haojie Shan,Bin Tu,Shilin Jiang,Ye Lu,Feng Wang 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.4
Background: During the pathogenesis of tendinopathy, the chronic inflammation caused by the injury and apoptosis leads to the generation of scars. Ginsenoside Rg1 (Rg1) is extracted from ginseng and has anti-inflammatory effects. Rg1 is a unique phytoestrogen that can activate the estrogen response element. This research aimed to explore whether Rg1 can function in the process of tendon repair through the estrogen receptor. Methods: In this research, the effects of Rg1 were evaluated in tenocytes and in a rat model of Achilles tendinitis (AT). Protein levels were shown by western blotting. qRT-PCR was employed for evaluating mRNA levels. Cell proliferation was evaluated through EdU assay and cell migration was evaluated by transwell assay and scratch test assay. Results: Rg1 up-regulated the expression of matrix-related factors and function of tendon in AT rat model. Rg1 reduced early inflammatory response and apoptosis in the tendon tissue of AT rat model. Rg1 promoted tenocyte migration and proliferation. The effects of Rg1 on tenocytes were inhibited by ICI182780. Rg1 activates the insulin-like growth factor-I receptor (IGF1R) and MAPK signaling pathway. Conclusion: Rg1 promotes injured tendon healing in AT rat model through IGF1R and MAPK signaling pathway activation.
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Combining Ultrasound-Mediated Intracellular Delivery with Microfluidics in Various Applications
Huang Guangyong,Lin Lin,Wu Shixiong,Dang Haojie,Cheng Xuesong,Liu Ying,You Hui 한국바이오칩학회 2024 BioChip Journal Vol.18 No.1
Ultrasound-mediated intracellular delivery is one of the popular technologies based on membrane rupture at present. To date, ultrasound directly acts on a large number of cells to achieve cargo delivery and has been widely used in drug deliv-ery, disease therapy and other fields. However, the existing macroscopic methods can no longer meet the requirements of accurate tracking and analysis and are prone to extensive cell damage and even death. With the rapid advancements in microfl uidic technologies, the combination of ultrasound and microfluidics (CUM) technology can effectively improve the delivery efficiency and cell survival rates. This new technology has rapidly become a new direction and focus of research. Thus, we analysed the mechanism of sonoporation and the effect of acoustic waves in a microfluidic channel. In addition, we reviewed the application of these new technologies in terms of structure and fabrication of ultrasound transducers and microfl uidic devices. As regards our main objective, we hope to help researchers better understand the future developments and the challenges of new technologies. With this review, researchers can promote the development of new technologies to solve the current challenges of intracellular delivery and advance clinical applications.
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Qingcheng Meng,Lei Hu,Da Wan,Mingjian Li,Haojie Wu,Xin Qi,Yongding Tian 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.12
Cracks are important indexes to evaluate the health status of concrete structures. To accurately and automatically identify the cracks of concrete structures, and solve the time-consuming and labor-intensive limits of manual detection methods, this paper proposed an image-based concrete cracks identification method based on a lightweight Convolutional Neural Network, which includes three modules: crack classification, semantic segmentation and quantitative calculation of crack geometric size. Firstly, the S_MobileNet was used to classify cracks, exclude irrelevant regions, and reduce the interference of non-crack images; Secondly, the optimized method SM-UNet based on the U-Net network was employed to segment the detected crack image at the pixel level; Finally, based on the results of crack semantic segmentation, image post-processing technology was used to realize the quantitative calculation of crack geometric size parameters, which provides a basis for crack damage assessment of concrete structures. The experimental results show that this study provides a solution for the automatic detection of crack images and high-precision measurement of crack size, which has an important value in scientific research and engineering application.
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