4.7 Article

Conditional Deletion of Fgfr3 in Chondrocytes leads to Osteoarthritis-like Defects in Temporomandibular Joint of Adult Mice

Journal

SCIENTIFIC REPORTS
Volume 6, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep24039

Keywords

-

Funding

  1. National Natural Science Foundation of China [81170809, 81301593]
  2. Basic and Advanced Research Project in Chongqing [CSTC2013jcyjC0009]
  3. Special Funds for Major State Basic Research Program of China (973 program) [2014CB942904]

Ask authors/readers for more resources

Osteoarthritis (OA) in the temporomandibular joint (TMJ) is a common degenerative disease in adult, which is characterized by progressive destruction of the articular cartilage. To investigate the role of FGFR3 in the homeostasis of TMJ cartilage during adult stage, we generated Fgfr3(f/f); Col2a1-CreER(T2) (Fgfr3 cKO) mice, in which Fgfr3 was deleted in chondrocytes at 2 months of age. OA-like defects were observed in Fgfr3 cKO TMJ cartilage. Immunohistochemical staining and quantitative real-time PCR analyses revealed a significant increase in expressions of COL10, MMP13 and AMAMTS5. In addition, there was a sharp increase in chondrocyte apoptosis at the Fgfr3 cKO articular surface, which was accompanied by a down-regulation of lubricin expression. Importantly, the expressions of RUNX2 and Indian hedgehog (IHH) were up-regulated in Fgfr3 cKO TMJ. Primary Fgfr3 cKO chondrocytes were treated with IHH signaling inhibitor, which significantly reduced expressions of Runx2, Col10, Mmp13 and Adamts5. Furthermore, the IHH signaling inhibitor partially alleviated OA-like defects in the TMJ of Fgfr3 cKO mice, including restoration of lubricin expression and improvement of the integrity of the articular surface. In conclusion, our study proposes that FGFR3/IHH signaling pathway plays a critical role in maintaining the homeostasis of TMJ articular cartilage during adult stage.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Thermodynamics

Recent advances in visualization of pulsating heat pipes: A review

Zipei Su, Yanxin Hu, Shaobin Zheng, Tingting Wu, Kaizhao Liu, Minghan Zhu, Jin Huang

Summary: Due to its simple structure and excellent heat transfer performance, pulsating heat pipe (PHP) is widely used in different heat management fields. The complex heat transfer mechanism and various influencing factors make it difficult to predict the heat transfer performance of PHP. Therefore, a large number of visualization researches have been conducted to further improve the heat transfer mechanism and theory of PHP. This paper provides an overview of the latest progress in PHP visualization and summarizes and prospects the visualization studies of PHP with different visualization techniques, operating conditions, structural parameters, and working fluids, providing a reference for future visualization research.

APPLIED THERMAL ENGINEERING (2023)

Article Thermodynamics

Research on electrochemical characteristics and heat generating properties of power battery based on multi-time scales

Tingting Wu, Changhong Wang, Yanxin Hu, Zhixuan Liang, Changxiang Fan

Summary: In this study, a second-order equivalent circuit model considering the hysteresis effect of the battery was developed, and a combined EIS and HPPC characterization method was used for parameter identification. The results demonstrated that this method could accurately extract and analyze the battery parameters with different time scales. Additionally, it was found that the polarization internal resistance of the battery had a stronger temperature dependence, and the heat generation rate of the battery increased with decreasing temperature.

ENERGY (2023)

Article Physics, Multidisciplinary

Cluster-Based Structural Redundancy Identification for Neural Network Compression

Tingting Wu, Chunhe Song, Peng Zeng, Changqing Xia

Summary: This paper proposes a clustering-based redundancy identification framework for model pruning, which considers the perspective of structural redundancy. The framework performs cluster analysis on filters in each layer to generate similar sets with different functions, identifies redundant filters within these sets, and automatically determines the pruning rate of each layer. Extensive experiments on various benchmark network architectures and datasets demonstrate the effectiveness of the proposed framework.

ENTROPY (2023)

Article Environmental Sciences

Effects of air pollution and residential greenness on sleep disorder: A 8-year nationwide cohort study

Feifei Liu, Feng Zhou, Ke Zhang, Tingting Wu, Mengnan Pan, Xiangxiang Wang, Jiahui Tong, Zhongyang Chen, Hao Xiang

Summary: This study investigated the relationship between sleep disorders and environmental factors such as air pollution and greenness in middle-aged and elderly individuals in China. The results showed that air pollution was positively associated with sleep disorders and reduced sleep duration, while higher levels of greenness could protect sleep health from the side effects of air pollution.

ENVIRONMENTAL RESEARCH (2023)

Article Biochemistry & Molecular Biology

The Males Absent on the First (MOF) Mediated Acetylation Alters the Protein Stability and Transcriptional Activity of YY1 in HCT116 Cells

Tingting Wu, Bingxin Zhao, Chengyu Cai, Yuyang Chen, Yujuan Miao, Jinmeng Chu, Yi Sui, Fuqiang Li, Wenqi Chen, Yong Cai, Fei Wang, Jingji Jin

Summary: Yin Yang 1 (YY1) is a transcription factor that controls gene expression and plays a crucial role in various cancers. The MOF-containing MSL HAT complex was found to regulate YY1 stability and transcriptional activity in an acetylation-dependent manner. Acetylation by MOF promoted the degradation of YY1 through the ubiquitin-proteasome pathway. The acetylation-ubiquitin mode of YY1 was found to be important for tumor cell proliferation.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Computer Science, Artificial Intelligence

Model pruning based on filter similarity for edge device deployment

Tingting Wu, Chunhe Song, Peng Zeng

Summary: This article introduces a novel and efficient pruning method based on filter similarity, which evaluates the similarity between filters instead of the importance of individual filters. The proposed method calculates pairwise filter similarity in a convolutional layer and obtains the similarity distribution. Filters with high similarity to others are then deleted or set to zero. The algorithm does not require a specified pruning rate for each layer and achieves satisfactory tradeoff between accuracy and memory in different scenarios through iterative pruning strategies.

FRONTIERS IN NEUROROBOTICS (2023)

Article Computer Science, Information Systems

FedCos: A Scene-Adaptive Enhancement for Federated Learning

Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu

Summary: Federated learning (FL) training on distributed edge devices has been an area of interest. The heterogeneity of client data affects the performance of FL. We propose FedCos, which reduces the directional inconsistency of local models with a cosine-similarity penalty. Experimental results show that FedCos outperforms baselines in various FL scenarios and improves communication efficiency by 2-5 times.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Materials Science, Multidisciplinary

Fast Li+-conducting Zr4+-based oxychloride electrolyte with good thermal and solvent stability

Bing Li, Yutao Li, Hong-Shen Zhang, Ting-Ting Wu, Sijie Guo, An-Min Cao

Summary: Li2ZrCl6 is a low-cost Li+-conducting chloride electrolyte with a trigonal structure that is stable at high voltages and compatible with high-voltage cathodes. However, its low room-temperature ionic conductivity, poor stability in different solvents and at high temperatures limit its application in next-generation all-solid-state batteries. In this study, new oxychloride electrolytes were prepared with different molar ratios of Li2O, ZrCl4, and LiCl, replacing Cl- with O2- anion to optimize the electrolyte performance. The introduction of Li2O greatly improved the conductivity and stability of the electrolyte, enabling the stable cycling of all-solid-state Li-In/LiCoO2 batteries.

SCIENCE CHINA-MATERIALS (2023)

Article Chemistry, Physical

Surface engineering of LiCoO2 by a multifunctional nanoshell for stable 4.6V electrochemical performance

Si-Dong Zhang, Mu-Yao Qi, Sijie Guo, Yong-Gang Sun, Ting-Ting Wu, Hong-Shen Zhang, Si-Qi Lu, Fanqi Meng, Qinghua Zhang, Lin Gu, Zhiwei Zhao, Zhangquan Peng, Hongchang Jin, Hengxing Ji, Ying-Rui Lu, Ting-Shan Chan, Ran Duan, An-Min Cao

Summary: A multifunctional shell of MgO/Li3PO4 was successfully fabricated on the surface of 4.6 V LiCoO2 cathode, which effectively stabilized the cathode by inhibiting interfacial side reactions and structure degradation. The shell not only prevented capacity decay but also improved Li+ transfer rate, leading to a high reversible capacity and outstanding rate capability.

ENERGY STORAGE MATERIALS (2023)

Article Chemistry, Physical

Integrated Surface Modulation of Ultrahigh Ni Cathode Materials for Improved Battery Performance

Mu-Yao Qi, Si-Dong Zhang, Sijie Guo, Peng-Xiang Ji, Jian-Jun Mao, Ting-Ting Wu, Si-Qi Lu, Xing Zhang, Shu-Guang Chen, Dong Su, Guan-Hua Chen, An-Min Cao

Summary: In this study, surface modulation was used to stabilize the Ni-rich layered cathode and improve its cycle stability and rate capability. A wet-chemistry process was developed to deposit uniform ZrO(OH)(2) nanoshells and Li2ZrO3 nanoparticles on the surface of Ni0.905Co0.095(OH)(2)(NC0.9-OH) hydroxide precursors. This surface control technique achieved an optimized balance between surface stabilization and charge transfer, resulting in exceptional capacity retention and rate capability.

SMALL METHODS (2023)

Article Oncology

Genetic variants influenced the risk of bleeding and pharmacodynamics of rivaroxaban in patients with nonvalvular atrial fibrillation: A multicentre prospective cohort study

Qian Xiang, Zhe Wang, Guangyan Mu, Qiufen Xie, Zhiyan Liu, Shuang Zhou, Hanxu Zhang, Zining Wang, Jie Jiang, Kun Hu, Yatong Zhang, Zinan Zhao, Dongdong Yuan, Liping Guo, Tingting Wu, Jinhua Zhang, Na Wang, Jing Xiang, Zhichun Gu, Jianjun Sun, Yimin Cui

Summary: This study aimed to identify genetic variants associated with the variability of pharmacodynamics and bleeding risk of rivaroxbaban in patients with nonvalvular atrial fibrillation (NVAF). The peak anti-FXa level was significantly related to bleeding events within 12 months. SUSD3 rs76292544 was associated with 12-month bleeding events and five SNPs (NCMAP rs4553122, PRF1 rs885821, PRKAG2 rs12703159, rs13224758, and POU2F3 rs2298579) were associated with peak anti-FXa level.

CLINICAL AND TRANSLATIONAL MEDICINE (2023)

Article Computer Science, Artificial Intelligence

Efficient federated learning on resource-constrained edge devices based on model pruning

Tingting Wu, Chunhe Song, Peng Zeng

Summary: This paper proposes an efficient federated training framework based on model pruning to address the problem of insufficient computing and communication resources in edge devices. The framework dynamically selects neurons or convolution kernels before global model release, prunes a current optimal subnet, and then issues the compressed model for training. The framework also introduces a new parameter aggregation update scheme to reduce the error caused by pruning.

COMPLEX & INTELLIGENT SYSTEMS (2023)

Article Computer Science, Theory & Methods

Dynamic layer-wise sparsification for distributed deep learning

Hao Zhang, Tingting Wu, Zhifeng Ma, Feng Li, Jie Liu

Summary: Distributed stochastic gradient descent (SGD) algorithms are commonly used to speed up deep learning model training by employing multiple computational devices in parallel. Top-k sparsification is an effective method to reduce communication overhead, but traditional implementations have limitations in training efficiency and model performance. This paper introduces a Dynamic Layer-wise Sparsification (DLS) mechanism and its extensions, DLS(s), which balances efficiency and performance by adjusting sparsity ratios of layers. Experimental results show that DLS(s) outperforms existing methods in terms of both performance and training time.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2023)

Article Thermodynamics

Flexible solid-solid phase change materials with high stability for thermal management

Tingting Wu, Changhong Wang, Yanxin Hu, Xiaoxing Zeng, Mengjie Song

Summary: Phase change materials (PCM) are considered a promising technology for battery thermal management. However, the migration of microscopic components and brittle fracture hinder their application. This paper prepared a polyurethane (PU) PCM and identified PU400 as the best choice with a latent heat of 98.8 J/g and strain of 10% by weighing the relationship between thermal storage capacity and mechanical properties. The use of hydroxylated carbon nanotubes (CNT-OH) improved the heat transfer performance, with a thermal conductivity of 1.3 W/(m·K) at 5% CNT-OH content.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2023)

Article Environmental Sciences

Digital economy and green total factor productivity-based on the empirical research on the resource-based cities

Shi Chen, Yang Yang, Tingting Wu

Summary: This paper selects 248 resource-based cities in China from 2011 to 2019 as research objects to test the relationship between digital economy and regional green total factor productivity. The findings show that there is a nonlinear relationship between the two, with an inverted U-shape. The digital economy can influence regional green total factor productivity through the path transmission mechanism of regional technological innovation, industrial structure, and environmental regulation. The effect of the digital economy on regional green total factor productivity is heterogeneous, especially in the eastern region and cities with high human capital level.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

No Data Available