Article
Biochemistry & Molecular Biology
Ming Song, Jun Liu, Xin Zheng, Xin Zhou, Zehui Feng, Wei Hu
Summary: The study found that the expression of CEMIP was significantly elevated while miR-148a-3p level was downregulated in gastric cancer tissues and cell lines. miR-148a-3p suppressed the development of gastric cancer by inhibiting the expression of CEMIP.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2021)
Article
Immunology
Kai-Fu Wang, Zuo-Wei Shi, Da-Ming Dong
Summary: In this study, it was found that circATRNL1 is downregulated in IL-1 beta-treated chondrocytes, and its overexpression can improve cell apoptosis and ECM degradation. CircATRNL1 directly targets miR-153-3p, and miR-153-3p can reverse the inhibitory effects of circATRNL1 overexpression on inflammatory responses, cell apoptosis, and ECM degradation. KLF5 is a target of miR-153-3p.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2021)
Article
Oncology
Paula Gonzalez-Lopez, Marta Alvarez-Villarreal, Ruben Ruiz-Simon, Andrea R. Lopez-Pastor, Melina Vega de Ceniga, Leticia Esparza, Jose L. Martin-Ventura, Oscar Escribano, Almudena Gomez-Hernandez
Summary: MicroRNAs miR-15a-5p and miR-199a-3p are significantly decreased in aortic and carotid samples from atherosclerosis patients and mice. Overexpression of these miRNAs can reduce inflammation and progression of atherosclerosis. MiR-15a-5p may serve as a novel diagnostic biomarker for advanced atherosclerosis.
CLINICAL AND TRANSLATIONAL MEDICINE
(2023)
Article
Neurosciences
Yiwen Huang, Yuanyuan Wang, Xiaobin Liu, Yingjun Ouyang
Summary: In this study, it was found that post-ischemic stroke, HOTAIR absorbed miR-148a3p and upregulated KLF6 expression, promoting apoptosis and inflammation, exacerbating neurological injury.
BRAIN RESEARCH BULLETIN
(2021)
Article
Oncology
Elisa Martino, Anna Balestrieri, Francesca Aragona, Giovanna Bifulco, Luigi Mele, Giuseppe Campanile, Maria Luisa Balestrieri, Nunzia D'Onofrio
Summary: This study reports the antineoplastic effect of miR-148a-3p overexpression in a colorectal cancer (CRC) model, which occurs through apoptosis, mitochondrial impairment, lipid peroxidation, and ferroptosis sustained by the ACSL4/TFRC/Ferritin axis. The downregulation of SLC7A11 by miR-148a-3p may contribute to the cytotoxicity. These findings highlight the oncosuppressor role of miR-148a-3p and its potential as a diagnostic and therapeutic biomarker in CRC.
Article
Biochemistry & Molecular Biology
Carmen Ciavarella, Ilenia Motta, Francesco Vasuri, Silvia Fittipaldi, Sabrina Valente, Daniela Pollutri, Francesca Ricci, Mauro Gargiulo, Gianandrea Pasquinelli
Summary: The study reveals that End-MT serves as a crucial link between inflammation and vascular calcification. Moreover, miR-30a-5p and miR-30d can regulate both the End-MT and osteogenic processes, with an impact on key genes like SLUG, VIMENTIN, and RUNX-2.
Review
Immunology
Shuren Guo, Xiaohuan Mao, Jun Liu
Summary: CTRPs family members play critical roles in the development and progression of AS by influencing inflammatory response, modulating glucose and lipid metabolism, regulating endothelial functions, and the proliferation of vascular smooth muscle cells (VSMCs).
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Pharmacology & Pharmacy
Taiyue Li, Xiaoyi Yu, Xuerui Zhu, Yuanyuan Wen, Meizhen Zhu, Weiwei Cai, Bao Hou, Fei Xu, Liying Qiu
Summary: This study found that vaccarin can alleviate endothelial inflammatory injury in diabetes by mediating the miR-570-3p/HDAC1 pathway. The research provides new insights into the molecular mechanisms of diabetic endothelial dysfunction and vascular complications.
FRONTIERS IN PHARMACOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Yukihito Higashi
Summary: Oxidative stress and chronic inflammation play a crucial role in the development of atherosclerosis, as vascular endothelial dysfunction leads to its progression and forms a vicious cycle with oxidative stress and inflammation.
Article
Dentistry, Oral Surgery & Medicine
Liyuan Yu, Kai Xia, Jing Zhou, Zhiai Hu, Xing Yin, Chenchen Zhou, Shujuan Zou, Jun Liu
Summary: The circRNA circ_0003204 is found to regulate osteogenic differentiation of human adipose-derived stem cells (hASCs) through the miR-370-3p/HDAC4 axis, playing an important role in bone defect repair.
INTERNATIONAL JOURNAL OF ORAL SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Lu Liang, Wen-yan Xu, Ao Shen, Hui-yu Cen, Zhi-jun Chen, Lin Tan, Ling-min Zhang, Yu Zhang, Ji-jun Fu, Ai-ping Qin, Xue-ping Lei, Song-pei Li, Yu-yan Qin, Jiong-hua Huang, Xi-yong Yu
Summary: The methylation of miR-148a-3p promoter is associated with the clinical features of LUAD, and hypermethylation of miR-148a-3p is closely related to lymph node metastasis. miR-148a-3p inhibits the growth, migration, invasion, and cytoskeleton reorganization of lung adenocarcinoma cells by targeting MAP3K9 and suppressing the epithelial-mesenchymal transition. This study suggests that miR-148a-3p and MAP3K9 may serve as novel therapeutic targets for LUAD treatment with potential clinical applications.
ACTA PHARMACOLOGICA SINICA
(2022)
Article
Environmental Sciences
Qing Li, Tianyi Wang, Ximin Wang, Xin-Yu Ge, Tao Yang, Guang Bai, Wei Wang
Summary: This study found that circular RNAs (circRNAs) are associated with the regulation of sepsis-induced acute kidney injury (AKI), but the specific function of circITCH in the development of sepsis-induced AKI is still unclear. The levels of circITCH, miR-579-3p, and ZEB2 were examined, and the roles of circITCH in cell viability, apoptosis, and inflammation were evaluated in LPS-treated HK-2 cells. CircITCH overexpression restored cell viability, inhibited apoptosis and inflammatory cytokine production in LPS-treated HK-2 cells by negatively regulating miR-579-3p and upregulating ZEB2 expression. This study provides a theoretical basis for AKI therapy by demonstrating the protective role of circITCH in LPS-induced HK-2 cell injury.
ENVIRONMENTAL TOXICOLOGY
(2023)
Article
Hematology
Maryam Ghashghaei, Cong Truc Le, Haya Shaalan, Leo Escano, Marty Yue, Aaremish Arsalan, Arefeh Rouhi, Tuan Anh Nguyen, Ly P. Vu
Summary: Regulation of gene expression at the RNA level plays a crucial role in cancer. However, the posttranscriptional pathways involved in tumor formation are still not well understood. In this study, researchers identified a functional pathway involving miR-148a-3p, RNA helicase DDX6, and the downstream target TXNIP in acute myeloid leukemia (AML). The depletion of DDX6 led to cell cycle arrest, apoptosis, and differentiation, delaying leukemia development. This study highlights the potential therapeutic target of the regulatory link between miR-148a-3p and DDX6 in leukemia treatment.
Article
Geriatrics & Gerontology
Yanhui Cui, Xueqin Wang, Fengyu Lin, Wen Li, Yuhao Zhao, Fei Zhu, Hang Yang, Mingjun Rao, Yi li, Huaying Liang, Minhui Dai, Ben Liu, Lingli Chen, Duoduo Han, Rongli Lu, Wenzhong Peng, Yan Zhang, Chao Song, Yanwei Luo, Pinhua Pan
Summary: The study revealed that miR-29a-3p is downregulated in ARDS patients and ALI model mice, and its regulation of inflammatory factors helps reduce lung injury by decreasing alveolar epithelial cell death, presenting a potential therapeutic target for ALI/ARDS.
Article
Medicine, General & Internal
Wenjing Zhang, Bingshi Liu, Yanfang Wang, Lixian Sun Phd, Chao Liu, Haoran Zhang, Wei Qin, Jingyi Liu, Leng Han, Weichao Shan
Summary: In this study, the expression and role of microRNA-195-3p and brain-derived neurotrophic factor (BDNF) in hypoxic-treated human umbilical vein endothelial cells (HUVECs) were investigated. It was found that microRNA-195-3p and BDNF levels were upregulated and apoptosis was increased under hypoxic conditions. Additionally, BDNF/P-ERK1/2 was shown to regulate the expression of mitochondrial apoptosis pathway proteins Bcl-2/BAX. The results suggest that therapeutic intervention targeting the microRNA-195-3p/BDNF/P-ERK1/2/Bcl-2/BAX axis could be a new treatment strategy for coronary heart disease (CHD).
Article
Computer Science, Artificial Intelligence
Jialin Liu, Fei Chao, Chih-Min Lin, Changle Zhou, Changjing Shang
Summary: This paper introduces dynamic kernel convolutional neural networks (DK-CNNs) and explains how they enhance the expressive capacity of convolutional operations by extending a latent dimension. DK convolution analyzes fixed features with a latent variable, leading to better performance compared to regular CNNs.
Article
Computer Science, Interdisciplinary Applications
Jun Li, Pei Yuan, Xiaojuan Hu, Jingbin Huang, Longtao Cui, Ji Cui, Xuxiang Ma, Tao Jiang, Xinghua Yao, Jiacai Li, Yulin Shi, Zijuan Bi, Yu Wang, Hongyuan Fu, Jue Wang, Yenting Lin, ChingHsuan Pai, Xiaojing Guo, Changle Zhou, Liping Tu, Jiatuo Xu
Summary: The study established a noninvasive diabetes risk prediction model based on tongue features fusion using machine learning techniques. The model showed excellent performance in predicting the risk of prediabetes and diabetes. The study provides a feasible method for effective early diagnosis of prediabetes and diabetes, proving the potential of tongue image information as a marker for disease detection.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Jun Li, Qingguang Chen, Xiaojuan Hu, Pei Yuan, Longtao Cui, Liping Tu, Ji Cui, Jingbin Huang, Tao Jiang, Xuxiang Ma, Xinghua Yao, Changle Zhou, Hao Lu, Jiatuo Xu
Summary: The study aimed to establish a predictive model for evaluating individuals with high blood glucose levels using a combination of TCM tongue diagnosis and machine learning techniques. The results showed that the risk prediction model had high accuracy and performance in both the test and validation sets, with Stacking and ResNet50 models recommended for their non-invasive operation, ease of use, high precision, low false positive rate, and low misdiagnosis rate in detecting hyperglycemia and critical blood glucose levels.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2021)
Article
Mathematical & Computational Biology
Siyuan Zang, Xiaojun Ding, Meihong Wu, Changle Zhou
Summary: This paper proposes a method for single-trial ERP detection and estimation based on EEG signal classification. The method uses a linear generated EEG model to model the amplitude and latency of ERPs, avoiding invalid assumptions made by other methods. Three machine learning models were examined and the best performing model was selected for detection. The results show that the proposed method is more effective and has good generalization ability.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2022)
Article
Automation & Control Systems
Xin Zhang, Changle Zhou, Fei Chao, Chih-Min Lin, Longzhi Yang, Changjing Shang, Qiang Shen
Summary: This article presents a calibration method for low-cost IMU to improve accuracy by effectively deriving the nonlinear scale factors of the sensors. The validation on both synthetic and real-world data sets showed significantly smaller errors in acceleration and angular velocity compared to existing approaches, demonstrating a remarkable improvement of 64.12% and 47.90%, respectively.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Chemistry, Multidisciplinary
Peng Gao, Changle Zhou, Chaofan Lian, Xuefei Wang, Weigang Wang
Summary: This study investigated the application of an impinger for brown carbon (BrC) collection during biomass burning (BB) experiments. The results showed that BrC samples collected by the impinger method had similar properties to those collected by the quartz filter method, and the impinger was effective in concentrating methanol-insoluble substances from the smoke plume.
ACS EARTH AND SPACE CHEMISTRY
(2022)
Article
Integrative & Complementary Medicine
Jun Li, Longtao Cui, Liping Tu, Xiaojuan Hu, Sihan Wang, Yulin Shi, Jiayi Liu, Changle Zhou, Yongzhi Li, Jingbin Huang, Jiatuo Xu
Summary: This study aims to investigate the distribution law of tongue features in diabetic patients and provide a diagnostic basis for individualized treatment using traditional Chinese medicine (TCM). Tongue images of diabetic patients were collected using a tongue diagnosis instrument and analyzed using the Tongue Diagnosis Analysis System (TDAS) to calculate color features, texture features, and tongue coating ratio features. Clustering analysis and self-organizing maps were used to analyze tongue feature distribution. The results showed significant differences between different clusters. The machine vision analysis based on unsupervised machine learning was found to be an important tool for identifying disease states in diabetic patients based on fine tongue features. It provides a diagnostic basis for the development of designated TCM treatment plans for diabetes.
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2022)
Article
Biology
Jun Li, Jingbin Huang, Tao Jiang, Liping Tu, Longtao Cui, Ji Cui, Xuxiang Ma, Xinghua Yao, Yulin Shi, Sihan Wang, Yu Wang, Jiayi Liu, Yongzhi Li, Changle Zhou, Xiaojuan Hu, Jiatuo Xu
Summary: This study achieved fine classification of diabetic population based on tongue images data, providing diagnostic basis for individualized treatment plans and promoting objective and standardized development of TCM diagnosis. The proposed method combined unsupervised, self-supervised, and supervised learning, achieving state-of-the-art results and offering new ideas for promoting the standardization of TCM diagnosis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Integrative & Complementary Medicine
Tao Jiang, Zhou Lu, Xiaojuan Hu, Lingzhi Zeng, Xuxiang Ma, Jingbin Huang, Ji Cui, Liping Tu, Changle Zhou, Xinghua Yao, Jiatuo Xu
Summary: This study explored the application of deep learning techniques in tongue image analyses, focusing on the identification of tongue shape and texture features. The deep learning model Faster R-CNN was utilized to classify tongue images, achieving high accuracy. The study also revealed the relationships between tongue features and gender, age, and metabolic diseases based on medical checkup participants.
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2022)
Article
Computer Science, Information Systems
Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Longzhi Yang, Xiang Chang, Changjing Shang, Qiang Shen
Summary: This article discusses the negative effects of the approximation inaccuracy in reinforcement learning algorithms on algorithm convergence. To mitigate the impact of approximation error, the error controlled actor-critic (ECAC) approach is proposed, which limits the approximation error within the value function. Experimental results demonstrate that the proposed actor-critic approach reduces approximation error and outperforms previous model-free RL algorithms.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Zi-Qi Wang, Li -Jiang Li, Fei Chao, Chih-Min Lin, Longzhi Yang, Changle Zhou, Xiang Chang, Changjing Shang, Qiang Shen
Summary: This paper proposes a novel brain emotional neural network that addresses the co-existence of non-linearity and uncertainty in nonlinear systems. The proposed network integrates a Type 2 wavelet neural network, a recurrent mechanism, and a brain emotional learning system to achieve optimal performance under uncertain environments.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ruiqi Wu, Fei Chao, Changle Zhou, Yuxuan Huang, Longzhi Yang, Chih-Min Lin, Xiang Chang, Qiang Shen, Changjing Shang
Summary: This article proposes a developmental evolutionary learning framework that enables a robot to gradually learn to write Chinese strokes. By utilizing developmental constraints and an evolutionary algorithm, the robot achieves good writing quality.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Computer Science, Information Systems
Rui Li, Xiaofei Jia, Changle Zhou, Junsong Zhang
Summary: This study examines the aesthetic experience of Chinese cursive-style calligraphy using brain functional network analysis. The results demonstrate that the brain functional network undergoes dynamic reconfiguration during the aesthetic experience of Chinese calligraphy, while also exhibiting similarities with Western art.
VISUAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Zeyang Zhang, Yidong Chen, Changle Zhou
Summary: This paper proposes a new deep learning model called SGBAN, which achieves higher performance and a more compact architecture on specific tasks. The model is constructed by progressively extending a fully connected network, making it more efficient compared to traditional neural architecture search methods. Experimental results demonstrate the effectiveness of SGBAN on various classification tasks, showing equivalent optimization ability and significant improvements in accuracy and parameter efficiency.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Tian-jian Luo, Changle Zhou
Summary: This study investigates the impact of movement discrepancy on the human mirror neuron system and finds that different speed discrepancies can improve brain lateralization.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
