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303 results on '"Shen, Yuntian"'

20. adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

Author

Wang, Xuhong, Du, Ying, Lin, Shijie, Cui, Ping, Shen, Yuntian, and Yang, Yupu

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning
Abstract

Recently, deep generative models have become increasingly popular in unsupervised anomaly detection. However, deep generative models aim at recovering the data distribution rather than detecting anomalies. Besides, deep generative models have the risk of overfitting training samples, which has disastrous effects on anomaly detection performance. To solve the above two problems, we propose a Self-adversarial Variational Autoencoder with a Gaussian anomaly prior assumption. We assume that both the anomalous and the normal prior distribution are Gaussian and have overlaps in the latent space. Therefore, a Gaussian transformer net T is trained to synthesize anomalous but near-normal latent variables. Keeping the original training objective of Variational Autoencoder, besides, the generator G tries to distinguish between the normal latent variables and the anomalous ones synthesized by T, and the encoder E is trained to discriminate whether the output of G is real. These new objectives we added not only give both G and E the ability to discriminate but also introduce additional regularization to prevent overfitting. Compared with the SOTA baselines, the proposed model achieves significant improvements in extensive experiments. Datasets and our model are available at a Github repository., Comment: This paper has been accepted by Knowledge-based Systems

Published
2019
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25. hBMSC-EVs alleviate weightlessness-induced skeletal muscle atrophy by suppressing oxidative stress and inflammation.

Author

Chang, Mengyuan, Liu, Ruiqi, Chen, Bingqian, Xu, Jin, Wang, Wei, Ji, Yanan, Gao, Zihui, Liu, Boya, Yao, Xinlei, Sun, Hualin, Xu, Feng, and Shen, Yuntian

Subjects
MUSCULAR atrophy, MYOSITIS, MESENCHYMAL stem cells, SIRTUINS, WESTERN immunoblotting, PROTEOLYSIS, AUTOPHAGY, HINDLIMB, SOLEUS muscle
Abstract

Background: Muscle disuse and offloading in microgravity are likely the primary factors mediating spaceflight-induced muscle atrophy, for which there is currently no effective treatment other than exercise. Extracellular vesicles derived from bone marrow mesenchymal stem cells (BMSC-EVs) possess anti-inflammatory and antioxidant properties, offering a potential strategy for combating weightless muscular atrophy. Methods: In this study, human BMSCs-EVs (hBMSC-EVs) were isolated using super-centrifugation and characterized. C2C12 myotube nutrition-deprivation and mice tail suspension models were established. Subsequently, the diameter of C2C12 myotubes, Soleus mass, cross-sectional area (CSA) of muscle fibers, and grip strength in mice were assessed to investigate the impact of hBMSC-EVs on muscle atrophy. Immunostaining, transmission electron microscopy observation, and western blot analysis were employed to assess the impact of hBMSC-EVs on muscle fiber types, ROS levels, inflammation, ubiquitin–proteasome system activity, and autophagy lysosome pathway activation in skeletal muscle atrophy. Results: The active hBMSC-EVs can be internalized by C2C12 myotubes and skeletal muscle. hBMSC-EVs can effectively reduce C2C12 myotube atrophy caused by nutritional deprivation, with a concentration of 10 × 108 particles/mL showing the best effect (P < 0.001). Additionally, hBMSC-EVs can down-regulate the protein levels associated with UPS and oxidative stress. Moreover, intravenous administration of hBMSC-EVs at a concentration of 1 × 1010 particles/mL can effectively reverse the reduction in soleus mass (P < 0.001), CSA (P < 0.01), and grip strength (P < 0.001) in mice caused by weightlessness. They demonstrate the ability to inhibit protein degradation mediated by UPS and autophagy lysosome pathway, along with the suppression of oxidative stress and inflammatory responses. Furthermore, hBMSC-EVs impede the transition of slow muscle fibers to fast muscle fibers via upregulation of Sirt1 and PGC-1α protein levels. Conclusions: Our findings indicate that hBMSC-EVs are capable of inhibiting excessive activation of the UPS and autophagy lysosome pathway, suppressing oxidative stress and inflammatory response, reversing muscle fiber type transformation, effectively delaying hindlimb unloading-induced muscle atrophy and enhancing muscle function. Our study has further advanced the understanding of the molecular mechanism underlying muscle atrophy in weightlessness and has demonstrated the protective effect of hBMSC-EVs on muscle atrophy. [ABSTRACT FROM AUTHOR]

Published
2025
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41. Potential Therapeutic Strategies for Skeletal Muscle Atrophy

Author

Huang, Li, primary, Li, Ming, additional, Deng, Chunyan, additional, Qiu, Jiayi, additional, Wang, Kexin, additional, Chang, Mengyuan, additional, Zhou, Songlin, additional, Gu, Yun, additional, Shen, Yuntian, additional, Wang, Wei, additional, Huang, Ziwei, additional, and Sun, Hualin, additional

Published
2022
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48. Inflammation: Roles in Skeletal Muscle Atrophy

Author

Ji, Yanan, primary, Li, Ming, additional, Chang, Mengyuan, additional, Liu, Ruiqi, additional, Qiu, Jiayi, additional, Wang, Kexin, additional, Deng, Chunyan, additional, Shen, Yuntian, additional, Zhu, Jianwei, additional, Wang, Wei, additional, Xu, Lingchi, additional, and Sun, Hualin, additional

Published
2022
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