Review
Neurosciences
Yunsha Zhang, Lu Lian, Rong Fu, Jueling Liu, Xiaoqian Shan, Yang Jin, Shixin Xu
Summary: This review provides an overview of neuroinflammation mediated by microglia, highlighting the interactions between microglia and central nervous system cells in the context of ischemic stroke and discussing their impact on the course of the disease.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2022)
Review
Neurosciences
Lu Lian, Yunsha Zhang, Lu Liu, Liji Yang, Yichen Cai, Junping Zhang, Shixin Xu
Summary: Ischemic stroke is a common cause of death and disability globally, and neuroinflammation plays a significant role in the process. MicroRNAs may have regulatory effects on microglia-associated inflammation, making them potential therapeutic targets for improving stroke outcomes and modulating neuroinflammation.
FRONTIERS IN MOLECULAR NEUROSCIENCE
(2021)
Article
Biochemistry & Molecular Biology
Tianchi Tang, Xiongwei Wang, Enbo Qi, Shiting Li, Hui Sun
Summary: This study found that ginkgetin can promote M2 polarization of microglia through activating the PPAR gamma signaling pathway, inhibiting neuroinflammation and facilitating the recovery of neurological functions after ischemic stroke.
NEUROCHEMICAL RESEARCH
(2022)
Review
Immunology
Yongli Pan, Qingzheng Jiao, Wei Wei, Tianyang Zheng, Xinyu Yang, Wenqiang Xin
Summary: This review summarizes the therapeutic effects and action mechanisms of long noncoding RNAs (lncRNAs) on ischemia by regulating inflammation and microglial activation, especially in the context of neuroinflammation in ischemic stroke. Studies have shown that lncRNAs have the potential to modulate inflammation by inhibiting and activating various signaling pathways, such as microRNAs, NF-kappa B, and ERK.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Review
Immunology
Li Peng, Guangqiang Hu, Qianfang Yao, Jianming Wu, Ziyang He, Betty Yuen-Kwan Law, Guishan Hu, Xiaogang Zhou, Junrong Du, Anguo Wu, Lu Yu
Summary: This paper summarizes the beneficial and harmful effects of microglia in ischemic stroke (IS). Additionally, it discusses the interplay between microglia autophagy and ischemic inflammation, along with its application in IS treatment.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Pharmacology & Pharmacy
Yunnan Lu, Mingming Zhou, Yun Li, Yan Li, Ye Hua, Yi Fan
Summary: The study found that minocycline can promote microglial phenotype shift, reduce brain infarct volume, protect neurons from injury, and improve neurological functional recovery after AIS.
BIOCHEMICAL PHARMACOLOGY
(2021)
Review
Medicine, Research & Experimental
Weizhuo Lu, Zhiwu Chen, Jiyue Wen
Summary: Ischemic stroke is a common and serious disease, and neuroinflammation plays a crucial role in its progression. Microglia, astrocytes, and infiltrating immune cells are involved in the complicated neuroinflammation cascade, releasing different molecules that affect inflammation. Flavonoids, plant-specific compounds, have shown protective effects against cerebral ischemia injury by modulating the inflammatory responses.
BIOMEDICINE & PHARMACOTHERAPY
(2024)
Article
Chemistry, Multidisciplinary
Zhongding Li, Baohua Liu, Kate Lykke Lambertsen, Bettina Hjelm Clausen, Zhenhu Zhu, Xue Du, Yanqi Xu, Frantz Rom Poulsen, Bo Halle, Christian Bonde, Meng Chen, Xue Wang, Dirk Schlueter, Jingyong Huang, Ari Waisman, Weihong Song, Xu Wang
Summary: Deficiency of the ubiquitin-specific protease USP25 aggravates ischemic stroke injury by inhibiting microglia-mediated neuroinflammation. USP25 restricts the activation of NF-κB and MAPK signaling by regulating TAB2 through removing K63-specific polyubiquitin chains. The upregulation of USP25 in microglia suggests its clinical relevance in ischemic stroke.
Review
Neurosciences
Meiqian Qiu, En Xu, Lixuan Zhan
Summary: This review focuses on the role of microglia/macrophages (MMs)-mediated neuroinflammation in ischemic stroke, with emerging evidence suggesting the importance of epigenetic modifications in regulating MM polarization. The mechanisms of histone modification, non-coding RNA, and DNA methylation are discussed, highlighting the potential of epigenetic-mediated MM polarization as diagnostic and therapeutic targets for ischemic stroke. Identifying the underlying mechanisms between epigenetics and MM polarization may offer a promising treatment strategy for neuronal damage after cerebral ischemia.
FRONTIERS IN MOLECULAR NEUROSCIENCE
(2021)
Article
Biochemistry & Molecular Biology
Ping-long Fan, Sha-sha Wang, Shi-feng Chu, Nai-hong Chen
Summary: Stroke is the third leading cause of death and disability worldwide, with most cases being ischemic strokes. Ischemic stroke is not only caused by vascular occlusion, but also involves the dynamic interaction of the neurovascular unit. Microglia plays a significant role in post-stroke neuroinflammation at different stages.
NEUROCHEMISTRY INTERNATIONAL
(2023)
Article
Immunology
Chunlei Xing, Juan Lv, Zhihui Zhu, Wei Cong, Huihui Bian, Chenxi Zhang, Ruxin Gu, Dagui Chen, Xiying Tan, Li Su, Yu Zhang
Summary: Stroke, especially ischemic stroke, is a major cause of neurological morbidity and mortality worldwide. This study demonstrated that Gelsevirine (Gs), an alkaloid from Gelsemium elegans, has a protective effect on stroke by reducing neuroinflammation through downregulating the JAK2-STAT3 signal pathway.
FRONTIERS IN IMMUNOLOGY
(2023)
Review
Neurosciences
Zhen Liang, Yingyue Lou, Yulei Hao, Hui Li, Jiachun Feng, Songyan Liu
Summary: Ischemic stroke is a major cause of severe disability and death worldwide. Neuroinflammation post-stroke, involving microglia and astrocytes, has gained increasing attention as a potential therapeutic target. Microglia and astrocytes play different roles in different stages of ischemic stroke, contributing to both neuroinflammatory injury aggravation and alleviation. Understanding the interaction between astrocytes and microglia can provide insights into the underlying mechanisms of ischemic stroke and aid in the development of new therapeutic interventions.
CURRENT NEUROPHARMACOLOGY
(2023)
Article
Genetics & Heredity
Bin Han, Wei Jiang, Pan Cui, Kai Zheng, Chun Dang, Junjie Wang, He Li, Lin Chen, Rongxin Zhang, Qing Mei Wang, Zhenyu Ju, Junwei Hao
Summary: In this study, it was found that PGC-1 alpha expression in microglia was increased shortly after ischemic stroke, leading to reduced neurological deficits and decreased production of proinflammatory cytokines. Additionally, PGC-1 alpha promoted autophagy and mitophagy through ULK1, ultimately reducing NLRP3 activation.
Article
Immunology
Wen-Qi Li, Zong-Shi Qin, Shuang Chen, Dan Cheng, Si-Chang Yang, Yuen Man Mandy Choi, Buggic Chu, Wei-Hai Zhou, Zhang-Jin Zhang
Summary: Hirudin has anti-inflammatory effects and can improve brain damage in a middle cerebral artery occlusion/reperfusion mouse model of acute ischemic stroke.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2022)
Review
Cell Biology
Teng Wan, Yunling Huang, Xiaoyu Gao, Wanpeng Wu, Weiming Guo
Summary: Exosomes are important vehicles for intercellular signaling and play a significant role in stroke regulation. There is a close link between microglia polarization and exosomes, where exosome inclusions such as microRNAs play a crucial role in regulating microglia polarization.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Management
Yupeng Zhou, Minghao Liu, Feifei Ma, Na Luo, Minghao Yin
Summary: Optimizations in supply chain management have significant impacts on enterprise development and people's livelihood. In this study, an algorithmic approach is used to solve the supply marketing order allocation problem (SMOAP) which aims to maximize platform benefits. Experimental results confirm the effectiveness of the proposed method in addressing real-world order allocation issues.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Computer Science, Artificial Intelligence
Yupeng Zhou, Mingjie Fan, Xiaofan Liu, Xin Xu, Yiyuan Wang, Minghao Yin
Summary: The mathematical formulation of the maximum weighted set k-covering problem is given for the first time in this paper, and a novel master-apprentice evolutionary algorithm is proposed to solve this problem. Experimental results show that the proposed algorithm performs the best among all competitors.
APPLIED INTELLIGENCE
(2023)
Article
Engineering, Environmental
Liyan Wang, Bowei Li, Jianan Wang, Ji Qi, Jinhua Li, Jiping Ma, Lingxin Chen
Summary: A novel rotary cloth/paper hybrid microfluidic analytical device was proposed for simultaneous detection of mercury and lead ions through the synergy of fluorescence sensing cloth-based component and rotary paper-based microfluidic analytical device. This method achieved low detection limits and improved portability, showing great potential for point-of-care testing of heavy metal ions in environmental monitoring fields.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Biochemistry & Molecular Biology
Agus Salim, Ramyar Molania, Jianan Wang, Alysha De Livera, Rachel Thijssen, Terence P. Speed
Summary: Normalization of single cell RNA-seq data is challenging and the performance of different methods varies greatly between datasets. We propose RUV-III-NB, a method that can remove unwanted variation from both cell embedding and gene-level counts, considering potential association with biology. The method performs consistently and is not sensitive to the number of contributing factors.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Lu Jiang, Yuqi Wang, Shasha Xie, Jun Wu, Minghao Yin, Jianan Wang
Summary: In this paper, the problem of course mismatch in recommending courses to a group of students on online tutoring platforms is solved. A group recommendation model considering the preferences of each user in the group is developed, leading to improved student participation.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Jiejiang Chen, Shaowei Cai, Yiyuan Wang, Wenhao Xu, Jia Ji, Minghao Yin
Summary: The minimum weight dominating set (MWDS) problem is an important generalization of the minimum dominating set problem. In this study, we propose an efficient local search scheme and three novel ideas to improve performance, resulting in the DeepOpt-MWDS algorithm. Extensive experiments show that DeepOpt-MWDS performs better than state-of-the-art algorithms and achieves the best solutions on large-scale graphs.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Biochemical Research Methods
Xiaosa Zhao, Jun Wu, Xiaowei Zhao, Minghao Yin
Summary: This study proposes a new multi-view contrastive heterogeneous graph attention network (GAT) method for predicting lncRNA-disease associations. The method constructs two view graphs using rich biological data sources and designs a cross-contrastive learning task to guide graph embeddings. Experimental results show the effectiveness of this method.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Computer Science, Information Systems
Shiwei Pan, Yiming Ma, Yiyuan Wang, Zhiguo Zhou, Jinchao Ji, Minghao Yin, Shuli Hu
Summary: This work presents an improved master-apprentice evolutionary algorithm, MAE-PB, for solving the MIDS problem. The algorithm combines a construction function for generating initial solutions and candidate solution restarting. It uses a multiple neighborhood-based local search algorithm, a recombination strategy based on master and apprentice solutions, and a perturbation strategy for improving solution quality. Computational results on benchmarks and real-world applications demonstrate the high performance of the MAE-PB algorithm.
FRONTIERS OF COMPUTER SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin
Summary: In this article, the authors study the recommendation of knowledge concepts in MOOCs in an explainable manner. They address the challenges of designing an appropriate data structure to capture complex relationships, modeling student interactions with knowledge concepts, and providing explainable recommendation results. They propose a reinforcement learning method integrated with a MOOC knowledge graph and demonstrate its effectiveness through extensive experiments on a real-world MOOC dataset.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2023)
Article
Biochemical Research Methods
Qiao Ning, Yaomiao Zhao, Jun Gao, Chen Chen, Xiang Li, Tingting Li, Minghao Yin
Summary: In recent years, numerous experiments have shown the significant regulatory roles of microRNAs (miRNAs) in cells, and their abnormal expression is associated with specific diseases. Therefore, investigating the link between miRNAs and diseases is highly valuable for disease prevention and treatment. This study proposes a novel method, AMHMDA, based on Attention aware Multi-view similarity networks and Hypergraph learning for MiRNA-Disease Associations identification.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rui Sun, Jieyu Wu, Chenghou Jin, Yiyuan Wang, Wenbo Zhou, Minghao Yin
Summary: This paper proposes an efficient local search algorithm based on three main ideas to solve MPIDS problems with different scale instances. The experimental results show that the proposed algorithm performs much better than several state-of-the-art MPIDS algorithms in terms of solution quality.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Jun Wu, Chu-Min Li, Luzhi Wang, Shuli Hu, Peng Zhao, Minghao Yin
Summary: This paper focuses on the problem of finding cohesive groups in a graph, which is important for various real-world applications. The existing methods of searching for cliques are not effective in finding cohesive groups due to their strictness. To address this issue, the Simplified Diversified Top-k s-Plex (S-DTKSP) problem is proposed in this paper. An integer linear programming and an iterated local search algorithm with a tabu strategy are proposed to solve the S-DTKSP problem effectively. Experimental results demonstrate the superiority of the proposed approaches over baseline algorithms.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Dangdang Niu, Xiaolin Nie, Lilin Zhang, Hongming Zhang, Minghao Yin
Summary: This paper introduces a 0-1 integer linear programming (ILP) model and a framework of greedy randomized adaptive search procedure (GRASP) to solve the minimum weakly connected dominating set problem (MWCDSP). By introducing two novel local search procedures and incorporating greedy functions and a tabu strategy, an improved GRASP algorithm is proposed. Experimental results demonstrate the superior performance of this algorithm over other competitors.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Dangdang Niu, Bin Liu, Minghao Yin, Yupeng Zhou
Summary: In this paper, an efficient local search algorithm named LSGCR_DTP is proposed to solve the dominating tree problem (DTP). The algorithm incorporates four new strategies to improve its efficiency and outperform existing DTP solvers.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematical & Computational Biology
Jun Wu, Mingjie Fan, Yang Liu, Yupeng Zhou, Nan Yang, Minghao Yin
Summary: This paper proposes a hybrid ant colony algorithm called DHS-ACO to solve the winner determination problem in combinatorial auctions. By combining local search and ant colony algorithm, and adopting tabu search and deep scoring strategies, it achieves better performance than existing algorithms.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
