Article
Engineering, Biomedical
Binghui Jin, Yunru Yu, Xiangxiang Chen, Yanhong Yang, Yushan Xiong, Young Jun Im, Yuanjin Zhao, Jian Xiao
Summary: The study proposes a novel microtube for sciatic nerve regeneration using gradient decellularized porcine sciatic nerve extracellular matrix hydrogel (pDScNM-gel). The pDScNM is shown to enhance cell proliferation and migration, improve axon growth, and these effects can also be achieved through coculture in a gradient pDScNM microtube. In vivo sciatic nerve regeneration and functional recovery are demonstrated by assembling the gradient pDScNM microtubes with a medical silicon tube.
BIOACTIVE MATERIALS
(2023)
Article
Engineering, Biomedical
Shuai Wei, Qian Hu, Jianxiong Ma, Xiu Dai, Yu Sun, Gonghai Han, Haoye Meng, Wenjing Xu, Lei Zhang, Xinlong Ma, Jiang Peng, Yu Wang
Summary: Compared to conventional artificial nerve guide conduits, acellular nerve grafts derived from natural nerves have natural advantages. In this study, a composite technology based on supercritical carbon dioxide was used to process the peripheral nerve of a large mammal and obtain acellular nerve xenografts. The extracted grafts showed improved cell adhesion and proliferation, reduced inflammatory response, and promoted nerve regeneration.
BIOACTIVE MATERIALS
(2022)
Article
Cell & Tissue Engineering
Maki Ando, Ryosuke Ikeguchi, Tomoki Aoyama, Mai Tanaka, Takashi Noguchi, Yudai Miyazaki, Shizuka Akieda, Koichi Nakayama, Shuichi Matsuda
Summary: The study compared the long-term safety and nerve regeneration of Bio3D conduit with artificial nerve conduit and autologous nerve transplantation in treating rat sciatic nerve defect. Results showed that the Bio3D group exhibited significantly better nerve regeneration compared to the silicon group, and there was no significant difference between the Bio3D group and the nerve autograft group in all endpoints.
CELL TRANSPLANTATION
(2021)
Article
Biochemistry & Molecular Biology
Liangfu Jiang, Xingyu Ouyang, Dupiao Zhang, Gang Wang, Zhe Zhang, Wei Wang, Hede Yan
Summary: This study presents a Gel-Ppy modified nerve conduit with excellent biocompatibility and conductivity, and evaluates its performance in promoting nerve regeneration in vitro and in vivo. The results demonstrate that Gel-Ppy modified nerve conduit can significantly enhance Schwann cell proliferation, contribute to Schwann cell regeneration in vivo, and improve axon diameters and myelin sheath thickness, leading to the amelioration of muscle atrophy, nerve conduction, and motor function recovery. Further investigation indicates that the Gel-Ppy conduit facilitates nerve regeneration by upregulating the Rap1 pathway to induce neurite outgrowth. Therefore, Gel-Ppy modified nerve conduit can provide a favorable microenvironment for nerve regeneration and be popularized as a novel therapeutic strategy for peripheral nerve injury.
Article
Engineering, Biomedical
Devan L. Puhl, Jessica L. Funnell, Tanner D. Fink, Anuj Swaminathan, Martin Oudega, R. Helen Zha, Ryan J. Gilbert
Summary: Aligned electrospun fibers provide topographical cues and local therapeutic delivery to facilitate peripheral nerve regeneration. In this study, the first aligned electrospun fibers were developed to deliver pseudouridine-modified neurotrophin-3 mRNA to Schwann cells, resulting in increased NT-3 secretion and enhanced neurite outgrowth. This research demonstrates the potential benefits of electrospun fiber-mediated mRNA delivery platforms for neural tissue engineering.
ACTA BIOMATERIALIA
(2023)
Article
Chemistry, Medicinal
Haili Xiao, Chao Wei, Huiying Liu, Zhiqiang Li, Cihua Zheng, Jun Luo
Summary: The natural drug lentinan has been found to regulate autophagy, promoting the clearance of myelin debris and enhancing nerve regeneration. The study demonstrated that lentinan activates the AMPK/mTOR signaling pathway, accelerating autophagic flux and promoting the phagocytosis of myelin debris by Schwann cells. These findings suggest that lentinan may be a cost-effective and natural treatment for peripheral nerve injury.
PHYTOTHERAPY RESEARCH
(2023)
Review
Health Care Sciences & Services
Maximilian Mayrhofer-Schmid, Tess T. Klemm, Martin Aman, Ulrich Kneser, Kyle R. Eberlin, Leila Harhaus, Arne H. Boecker
Summary: Wrapping peripheral nerves can prevent scar tissue formation and adhesions, but the optimal material and technique have yet to be determined. Further research is needed to identify the most effective nerve wrapping method for clinical practice.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Biotechnology & Applied Microbiology
Yingshuai Wang, Tao Yu, Feihu Hu
Summary: This study explores the application of miRNAs and exosomes in peripheral nerve regeneration and finds that a hypocapnia environment can enhance exosome function. By delivering miR-218 through engineered exosomes, sciatic nerve regeneration can be facilitated, and hypocapnia stimuli-responsive exosomes show better results.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Vahid Zolfagharzadeh, Jafar Ai, Hadi Soltani, Sajad Hassanzadeh, Mehdi Khanmohammadi
Summary: We developed injectable biomimetic microspheres for repairing sciatic tissue using a microfluidic device. The microspheres, loaded with insulin, were fabricated using laccase-mediated crosslinking. The physical properties of the microspheres, such as swelling rate and release rate, showed that they were suitable for tissue engineering and drug delivery systems. The microspheres also demonstrated cytocompatibility and promoted nerve regeneration in a rat model, resulting in improved functional characteristics of the sciatic tissue.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Cell Biology
Bo Wang, Chang-Feng Lu, Zhong-Yang Liu, Shuai Han, Pi Wei, Dian-Ying Zhang, Yu-Hui Kou, Bao-Guo Jiang
Summary: A novel nerve graft composed of chitin scaffolds and a small autologous nerve was used to repair sciatic nerve defects in rats, and it effectively facilitated nerve regeneration and restored neurological function, suggesting its potential as a new option for tissue-engineered nerve scaffolds.
NEURAL REGENERATION RESEARCH
(2022)
Article
Clinical Neurology
Xuezhen Shen, Feng Qu, Yilun Pei, Simeng Lei, Suhang Xia, Jing Liang, Shan Li, Xun Sun, Liang Liu
Summary: This study demonstrates that the combined application of functionalized self-assembling peptide gels and chitosan nerve conduits accelerates nerve healing and enhances morphological repair, providing a promising therapy for peripheral nerve regeneration.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Barbara Rangel da Silva, Ricardo A. de Melo Reis, Victor Tulio Ribeiro-Resende
Summary: The vascular and nervous systems have similarities and play complex roles in providing oxygen and nutrients to cells. They are both highly branched networks that often grow close to each other during development. Recent studies have focused on their relationship in peripheral nervous system regeneration, where endothelial cells guide the formation of Bungner bands that support axonal regeneration.
MOLECULAR NEUROBIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Yao Wang, Zongliang Xiong, Chong Zhou, Qiyuan Zhang, Shuang Liu, Sainan Dong, Xiaowen Jiang, Wenhui Yu
Summary: The study demonstrates that AKBA has a pro-recovery effect on sciatic nerve injury by promoting axon regeneration and improving cellular components of myelin sheath. AKBA regulates the expression of CDC42, Rac1, RhoA, and Rictor, which play important roles in nerve repair.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
Sevin Ferdowsi, Arash Abdolmaleki, Asadollah Asadi, Saber Zahri
Summary: In a rat model of sciatic nerve injury, azithromycin treatment accelerated nerve regeneration and improved motor and sensory function recovery.
NEUROCHEMICAL RESEARCH
(2023)
Article
Cell Biology
Bruno Henrique de Melo Lima, Andre Luis Bombeiro, Luciana Politti Cartarozzi, Alexandre Leite Rodrigues De Oliveira
Summary: The expression of MHC-I and other related molecules following peripheral nerve injury is associated with the recovery of neurons, glial cells, sensorimotor function, gait, and nociceptive threshold in mice. Different strains of mice exhibit varying recovery capacities.
Article
Biochemistry & Molecular Biology
Chun-Rui Yang, Hong-Jun Ding, Miao Yu, Fiona-H Zhou, Chen-Yang Han, Rui Liang, Xiao-Yang Zhang, Xiang-Lian Zhang, Fan-Jie Meng, Shuo Wang, De-Dong Li, Wei-Zong Sun, Bin Meng, Xin-Fu Zhou
Summary: The proBDNF/p75NTR signaling pathway plays an important role in inflammatory arthritis pain and rheumatoid arthritis (RA). The expression levels of p75NTR and proBDNF are significantly increased in RA patients compared to healthy donors, and they are positively correlated with Disease Activity Score. In a mouse model, blocking the pathway with p75ECD-Fc effectively blocks inflammatory responses and relieves pain.
Article
Biochemistry & Molecular Biology
Donghui Liu, Grigori Rychkov, Plinio Hurtado, Hai-Yun Luo, Tao Zhang, Larisa Bobrovskaya, Xin-Fu Zhou
Summary: This study demonstrates the successful conversion of human fibroblasts into induced neural stem cells (iNSCs) using small molecules. The iNSCs derived from fibroblasts have similar gene expression profiles to genuine NSCs, and have the ability to proliferate and differentiate into glial cells and functional neurons.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Neurosciences
Shaun Cade, Xin-Fu Zhou, Larisa Bobrovskaya
Summary: Alzheimer's disease is a neurodegenerative condition that predominantly affects elderly individuals. There is currently no definitive treatment to halt its progression. One therapeutic strategy involves targeting synaptic plasticity mechanisms to regenerate lost synapses. However, the molecular mechanisms that render the aging brain susceptible to synaptic dysfunction in Alzheimer's disease remain unresolved.
REVIEWS IN THE NEUROSCIENCES
(2022)
Article
Multidisciplinary Sciences
Wei-Yun Shen, Cong Luo, Plinio Reinaldo Hurtado, Xiao-Jing Liu, Ru-Yi Luo, Hui Li, Zhao-Lan Hu, Jun-Mei Xu, Elizabeth J. Coulson, Ming Zhao, Xin-Fu Zhou, Ru-Ping Dai
Summary: This study found that the inappropriate expansion of antibody-secreting cells (ASCs) in systemic lupus erythematosus (SLE) is associated with the signaling of brain-derived neurotrophic factor precursor (proBDNF) and its receptor p75(NTR). By inhibiting proBDNF, p75(NTR), or specifically knocking out p75(NTR) in CD19(+) B cells, lupus mice can be treated, reducing the production of autoantibodies and kidney injury.
Article
Computer Science, Artificial Intelligence
Fengmei Jin, Wen Hua, Thomas Zhou, Jiajie Xu, Matteo Francia, Maria E. Orlowska, Xiaofang Zhou
Summary: This paper investigates the problem of spatiotemporal entity linking using trajectory-based matching. It proposes an approach that utilizes effective and concise signatures extracted from trajectories for linking. The paper introduces several representation strategies and quantitative criteria for signature construction, as well as optimization methods for improving accuracy and efficiency. Extensive experiments on real-world datasets demonstrate the superiority of the proposed approach.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng
Summary: With the rise of GPS-enabled smartphones and social media platforms, geo-social networks have become popular tools for businesses to promote their products or services. This paper proposes a Similarity-aware Influence Maximization (SIM) model that takes into account users' spatio-temporal behavior to maximize the spread of influence. Extensive experiments demonstrate the efficiency and effectiveness of the proposed model.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Engineering, Civil
Dan He, Thomas Zhou, Xiaofang Zhou, Jiwon Kim
Summary: We study the k Maximum Trajectory Coverage Query, aiming to find k routes in a public transport system that can serve the maximum number of users with given journey trajectories. Existing studies only consider independent service without transfers, which leads to inferior results. To address this, we propose a greedy algorithm that considers both independent and aggregative services and outperforms competitors by up to 60% in accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Mengxuan Zhang, Lei Li, Goce Trajcevski, Andreas Zufle, Xiaofang Zhou
Summary: This paper discusses the challenges and methods for shortest path computation in frequently evolving small-world networks. By adopting Parallel Shortest-distance Labeling (PSL) as the construction method for 2-hop labeling and designing update mechanisms, the query efficiency and index maintenance effectiveness are improved.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou
Summary: One-class collaborative filtering (OCCF) problems are common in recommendation systems, but suffer from data sparsity and lack of negative items. To address these challenges, a ranking-based implicit regularizer is proposed and used in a framework to improve recommendation quality. Efficient algorithms are developed to optimize model parameters and extensive evaluations are conducted on multiple datasets.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Information Systems
Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
Summary: This article proposes an Edge-Enhanced Global Disentangled Graph Neural Network (EGD-GNN) model to capture the relation information between items for global item representation and local user intention learning. Experimental results show that our model can achieve a significant improvement over state-of-the-art baselines and effectively distinguish item features.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2023)
Article
Computer Science, Artificial Intelligence
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Summary: Dynamic graphs are graphs whose structure changes over time. Existing approaches only consider dynamic graphs as a sequence of changes in vertex connections, ignoring the asynchronous nature of the dynamics where the evolution of each local structure starts at different times and lasts for various durations. To address this, we propose a novel representation of dynamic graphs as temporal edge sequences associated with joining time of vertices (ToV) and timespan of edges (ToE). We also introduce a time-aware Transformer to embed the dynamic connections and ToEs into learned vertex representations, along with encoding time-sensitive information. Our approach outperforms the state-of-the-art in various graph mining tasks and is efficient for embedding large-scale dynamic graphs.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou
Summary: Sequential recommendation has become crucial in various Internet applications. Existing methods overlook the transition patterns between the features of items, while our proposed model enhances recommendation performance through learning feature-level and item-level sequences.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou
Summary: This study highlights the importance of finding suitable individuals to answer questions using short content and identifies the challenges involved. The authors propose a novel embedding approach and recommendation system to overcome these challenges, and provide experimental results to demonstrate its effectiveness.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
Summary: This paper proposes a novel indexing approach called LIMS, which uses data clustering, pivot-based data transformation techniques, and learned indexes to support efficient similarity query processing in metric spaces. LIMS partitions the underlying data into clusters with relatively uniform data distribution and utilizes a small number of pivots for data redistribution. Similar data are mapped into compact regions with totally ordinal mapped values. Machine learning models approximate the position of each data record on disk, and efficient algorithms are designed for range queries, nearest neighbor queries, and index maintenance with dynamic updates.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou
Summary: In spatial crowdsourcing, mobile users are involved in spatio-temporal tasks that require travel to specific locations. The task assignment in spatial crowdsourcing is a challenging problem that needs to be addressed to maximize profits. This study introduces a profit-driven task assignment problem and proposes various algorithms, including an optimal algorithm based on tree decomposition and greedy algorithms based on random tuning optimization. Additionally, a heuristic algorithm based on ant colony optimization is provided to balance effectiveness and efficiency. Extensive experiments using real and synthetic data are conducted to evaluate the proposed methods.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Medicine, Research & Experimental
Yuwen Zhu, Yan Guo, Yujia Xue, Anqi Zhou, Ying Chen, Yifei Chen, Xiulian Miao, Fangqiao Lv
Summary: BRG1 plays an important role in HSC-myofibroblast transition and targeting it could be a reasonable strategy for liver fibrosis intervention.
Article
Medicine, Research & Experimental
Liu Ye, Beibei Liu, Jingling Huang, Xiaolin Zhao, Yuan Wang, Yungen Xu, Shuping Wang
Summary: Doublecortin-like kinase 1 (DCLK1) is a significant prooncogenic factor that is strongly associated with the malignant progression and clinical prognosis of various cancers. DCLK1 plays important roles in stem cell marker regulation, tumor cell reprogramming, and immune evasion. However, the exact biological functions of DCLK1, especially the disparities between its alpha- and beta-form transcripts in cancer progression, remain ambiguous.
Article
Medicine, Research & Experimental
Jiahui Yang, Xiaoyu Chen, Tianjing Liu, Yongyan Shi
Summary: This article reviews the role of bile acids in necrotizing enterocolitis (NEC) and their potential therapeutic value. The dysregulation of bile acids is associated with intestinal injury, and inflammatory factors in the liver also play a crucial role in regulating bile acid transport. The bile acid metabolic pathway is important for regulating intestinal microbiota, cell proliferation, and barrier protection.
Review
Medicine, Research & Experimental
Zhenzheng Zhu, Yuemiao Xu, Yuwei Xia, Xinru Jia, Yixin Chen, Yuyue Liu, Leyin Zhang, Hui Chai, Leitao Sun
Summary: Bile acid, as the final product of cholesterol breakdown, plays a complex regulatory and signaling role in human metabolism. Research suggests that it has the potential to enhance metabolism and regulate chronic metabolic diseases through various pathways. The interaction between bile acid and gut microbiota is also of great significance.
Article
Medicine, Research & Experimental
Xin He, Hong-Xu Zhou, Xian Fu, Kai-Di Ni, Ai-Zhi Lin, Ling-Tong Zhang, Hou-Hua Yin, Qing Jiang, Xue Zhou, Yi-Wen Meng, Jun-Yan Liu
Summary: DON exposure causes an increase in deoxycholic acid (DCA), which contributes to intestinal injury. DCA may be a potential therapeutic target for DON enterotoxicity.
Article
Medicine, Research & Experimental
Zhitao Wang, Heng Ma, Abdul Nasir, Sufang Liu, Zhisong Li, Feng Tao, Qian Bai
Summary: This study reveals the involvement of TET1-mediated epigenetic regulation in chronic TMJ pain through trigeminal TNF alpha signaling.
Article
Medicine, Research & Experimental
Lu Yu, Hao Ran, Yaru Lu, Qian Ma, Huan Huang, Weibin Liu
Summary: This study found that the HIF-1 alpha inhibitor BAY 87-2243 can alleviate the symptoms of the Experimental Autoimmune Myasthenia Gravis (EAMG) inflammation model. BAY 87-2243 can restore the balance of CD4(+)T cell subsets, reduce the production of pro-inflammatory cytokines, and act as both an immune imbalance regulator and anti-inflammatory.
Article
Medicine, Research & Experimental
Alex Peralvarez-Marin, Montse Sole, Judith Serrano, Alice Taddeucci, Belen Perez, Clara Penas, Gemma Manich, Marcel Jimenez, Pilar D'Ocon, Francesc Jimenez-Altayo
Summary: This study provides the first evidence that TRPV2 channels may modulate vascular tone by balancing opposing inputs from the endothelium and smooth muscle, leading to net vasodilation. The amplification of TRPV2 channel-induced activity by NO emphasizes the pathophysiological relevance of these findings.
Article
Medicine, Research & Experimental
Amin Ullah, Jing Zhao, Jiakun Li, Rajeev K. Singla, Bairong Shen
Summary: Gastric cancer is the fifth-most prevalent and second-most deadly cancer worldwide. Late onset of symptoms makes early detection important. CXC chemokines play an important role in the pathological process of gastric cancer, but their exact role in diagnosis and prognosis is not fully understood. Inhibiting CXC chemokines shows promise as a targeted therapy.
Article
Medicine, Research & Experimental
Menna S. Zeyada, Salma M. Eraky, Mamdouh M. El-Shishtawy
Summary: The current study demonstrates the prophylactic and antifibrotic effects of Trig against BLM-induced PF by targeting multiple signaling pathways. The combination of Trig and Pirf may be a promising approach to enhance Pirf's anti-fibrotic effect.
