Article
Genetics & Heredity
Lin Yang, Hong-Gang Sui, Meng-Meng Wang, Jia-Yin Li, Xiao-Feng He, Jing-Yuan Li, Xiao-Zeng Wang
Summary: Plasma levels of miR-30c-1-3p and MMP-9 may serve as candidate biomarkers for AAA progression.
JOURNAL OF MOLECULAR MEDICINE-JMM
(2022)
Article
Medicine, Research & Experimental
Serap Ozer Yaman, Asim Orem, Fulya Balaban Yucesan, Birgul Vanizor Kural, Cihan Orem
Summary: The study identified alterations in the expression levels of miR-122 and miR-33a, as well as the potential value of the miR-122/30c ratio in postprandial lipemia in subjects with normal and high postprandial response.
Article
Oncology
Xianting Sun, Jianchen Fang, Fen Ye, Shuxian Zhang, Honghui Huang, Jian Hou, Ting Wang
Summary: This study identified the existence of endothelial-to-mesenchymal transition (EndMT) in diffuse large B-cell lymphoma (DLBCL) associated endothelial cells and its clinical relevance. DLBCL cells were found to stimulate angiogenesis and EndMT of human umbilical vein endothelial cells (HUVECs). The molecular mechanisms underlying this process were also unveiled, with WNT10A/GSK3β/β-catenin/snail pathway playing vital roles in DLBCL-induced EndMT. These findings suggest that EndMT markers and WNT10A may serve as novel predictors of clinical outcome in DLBCL.
FRONTIERS IN ONCOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Neha S. Dole, Jihee Yoon, David A. Monteiro, Jason Yang, Courtney M. Mazur, Serra Kaya, Cassandra D. Belair, Tamara Alliston
Summary: This study investigated a microRNA-dependent mechanism mediating the crosstalk between TGF-β and Wnt signaling in osteocytes exposed to fluid shear stress, revealing that miR-100 integrates the functions of these two essential pathways by antagonizing Wnt signaling.
Article
Pathology
Adnan Mansoor, Hamza Kamran, Ariz Akhter, Rommel Seno, Emina E. Torlakovic, Tariq Mahmood Roshan, Meer-Taher Shabani-Rad, Ghaleb Elyamany, Parham Minoo, Douglas Stewart
Summary: In this study, the expression of Wnt and RAS pathway-related genes in PBL was examined and compared with ABC-DLBCL. The results showed significant upregulation of the RAS signaling pathway and elevated activity of the Wnt signaling pathway in PBL. Unlike ABC-DLBCL, the aberrant Wnt signaling activity in PBL was not associated with nuclear factor KB and B-cell receptor signaling. These findings suggest potential pathways to explore for improving prognosis in PBL patients through combined targeted therapies.
Article
Cell Biology
Zhengtong Lv, Jianlong Wang, Xuan Wang, Miao Mo, Guyu Tang, Haozhe Xu, Jianye Wang, Yuan Li, Ming Liu
Summary: A risk model containing nine ferroptosis-related genes was constructed in this study, demonstrating strong prognostic and therapeutic predictive power in prostate cancer. The higher risk score calculated by the model was significantly associated with adverse clinicopathological characteristics, immune infiltration, probability of biochemical recurrence, and treatment response in PCa. The findings provide new insights and potential clinical applications of ferroptosis in PCa.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Zeyuan Wang, Xianting Ran, Siyu Qian, Huting Hou, Meng Dong, Shaoxuan Wu, Mengjie Ding, Yue Zhang, Xudong Zhang, Mingzhi Zhang, Qingjiang Chen
Summary: The study revealed that GPNMB could partially activate the Wnt/beta-catenin signaling pathway by targeting YAP1 in DLBCL, thus participating in tumorigenesis.
ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
(2021)
Article
Anesthesiology
Felipe P. Rangel, Jose O. C. Auler Jr, Maria J. C. Carmona, Mauricio D. Cordeiro, William C. Nahas, Rafael F. Coelho, Claudia M. Simoes
Summary: Intraoperative opioid use does not affect biochemical recurrence rates and biochemical recurrence-free survival in patients with intermediate and high D'Amico risk prostate cancer undergoing radical prostatectomy. Factors such as obesity, high D'Amico risk, laparoscopic surgery, stage 3 tumor pathology, N1 status, and positive surgical margins are associated with shorter biochemical recurrence-free survival.
BRITISH JOURNAL OF ANAESTHESIA
(2021)
Article
Multidisciplinary Sciences
Xuan Wang, Jun Cai, Lei Zhao, Dejun Zhang, Guojie Xu, Jianli Hu, Tao Zhang, Min Jin
Summary: Research has shown that miR-9-5p directly targets NUMB, affecting the growth and migration properties of CD44(+) PCSCs, while overexpression of NUMB can overcome the effects of miR-9-5p, providing new insights into treating PCSCs and PCa metastasis.
SCIENTIFIC REPORTS
(2021)
Article
Medicine, General & Internal
Zichen Bian, Xinbo Huang, Yiding Chen, Jialin Meng, Xingliang Feng, Meng Zhang, Li Zhang, Jun Zhou, Chaozhao Liang
Summary: A fifteen-miRNA-based prediction signature was established to evaluate prognosis of prostate cancer patients by distinguishing risk levels and showing good predictive performance in different cohorts. Analysis of miRNA-mRNA network and pathways indicated enrichment of differences between two risk groups in tumor progression and drug resistance-related pathways.
INTERNATIONAL JOURNAL OF MEDICAL SCIENCES
(2021)
Article
Oncology
Gaohaer Kadeerhan, Bo Xue, Xiaolin Wu, Xiaofeng Hu, Jun Tian, Dongwen Wang
Summary: In this study, a robust 8-gene signature was established based on transcriptome profiles of prostate cancer for accurately predicting the risk of biochemical recurrence. PRAME, a risk-related gene, was found to be upregulated in high-risk prostate cancer samples and correlated with chemotherapeutic drug response. Knocking down PRAME reduced the proliferation, migration, and invasion of prostate cancer cells. This study provides a novel tool for stratifying high-risk prostate cancer patients and sheds light on the mechanism of prostate cancer progression.
AMERICAN JOURNAL OF CANCER RESEARCH
(2023)
Article
Cell Biology
Lifu Wang, Bo Yang, Ziguang Xu, Xiaoxia Song, Zhiquan Gong, Shuang Xue, Lingfei Kong
Summary: The study found that circNSUN2 is highly expressed in malignant lymphoma tissues and cell lines, and its inhibition can reduce proliferation and invasion of lymphoma.
Article
Cell Biology
Mahmood Yaseen Hachim, Noha Mousaad Elemam, Rakhee K. Ramakrishnan, Khuloud Bajbouj, Ronald Olivenstein, Ibrahim Yaseen Hachim, Saba Al Heialy, Qutayba Hamid, Hauke Busch, Rifat Hamoudi
Summary: Both canonical and non-canonical Wnt signaling pathways play a role in pulmonary disease pathogenesis and progression, making them a potential target for pharmaceutical management in severe asthma. The imbalanced Wnt signaling in bronchial epithelial cells of severe asthmatic patients contributes to the development of asthma, with distinct Wnt profiles associated with different asthma phenotypes.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Jaewoong Jang, Jaewon Song, Inae Sim, Young Kwon, Yoosik Yoon
Summary: This study evaluated the suppressive effect of Wnt signaling inhibitor, Wnt-C59, in the kidneys, lungs, and livers of endotoxemic mice as a model of sepsis. Wnt-C59 improved survival rate, reduced proinflammatory cytokine levels and organ damage biomarkers, and inhibited Wnt/beta-catenin pathway, leading to suppression of NF-kappa B activity and cytokine upregulation in multiple organs, suggesting its potential use in treating sepsis-related multiple-organ dysfunction.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Review
Medicine, General & Internal
Shangwei Zhong, Changhao Huang, Zhikang Chen, Zihua Chen, Jun-Li Luo
Summary: Castration-resistant prostate cancer (CRPC) develops from the transformation of androgen-dependent (AD) prostate cancer (PCa) to androgen-independent (AI) PCa under androgen deprivation therapy (ADT). This forced evolutionary process allows AI PCa cells to selectively and dominantly proliferate, making PCa cells and the tumor microenvironment (TME) adapt and reprogram under ADT. Currently, there are no effective therapeutic methods available for the treatment of CRPC, highlighting the importance of targeting inflammatory signaling for the emergence and maintenance of CRPC.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Economics
Kun Wang, Jianqiang Chen
Summary: This paper examines the impact of fraud deterrence on firms' innovation outputs. The study finds that fraud deterrence is positively related to firms' innovation outputs, especially when there is high information asymmetry or employee turnover.
APPLIED ECONOMICS LETTERS
(2023)
Review
Chemistry, Physical
Yang Zhao, Jiazhao Huang, Jianqiang Chen, Youwen Liu, Tianyou Zhai
Summary: Two-dimensional transition metal dichalcogenides (TMDs) have shown excellent catalytic performance for hydrogen evolution and are considered suitable substitutes for commercial Pt-based catalysts. Chemical vapor deposition (CVD) is an important technique for synthesizing controllable and high-purity TMDs for electrocatalysis and electronic devices. Recent research progress in CVD-grown TMDs nanosheets for electrocatalytic hydrogen evolution, including synthesis factors and engineering strategies, has been presented in this review.
Article
Computer Science, Artificial Intelligence
Xuedong He, Calvin Yu-Chian Chen
Summary: Most end-to-end discriminative trackers aim to improve performance by mining more representative target features, but it is challenging to obtain comprehensive features due to diverse challenges. To address this issue, we propose a novel feature enhancement module for richer and comprehensive feature representation, which is trainable end-to-end. Additionally, we use a metric learning method to devise a verifier for adaptive update of the sample memory and learning rate.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Physical
Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Calvin Yu -Chian Chen
Summary: This paper proposes a geometric interaction graph neural network (GIGN) that incorporates 3D structures and physical interactions for predicting protein-ligand binding affinities. GIGN achieves state-of-the-art performance on three external test sets, and the learned representations of protein-ligand complexes are biologically meaningful.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Business, Finance
Jianqiang Chen, Pei-Fang Hsieh, Kun Wang
Summary: This study examines the impact of infringement and counterfeiting on corporate innovation performance. A quasi-natural experiment is used to analyze the effects of the Chinese government's crackdown on intellectual property rights violations. The results show that after the implementation, companies in industries with high risk of intellectual property violations or imitation experience a significant increase in patent counts and citations, especially for financially strong and risk-taking firms. This event leads to increased R&D investment and a prioritization of invention patents over utility patents by firms.
FINANCE RESEARCH LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Qiujie Lv, Guanxing Chen, Haohuai He, Ziduo Yang, Lu Zhao, Hsin-Yi Chen, Calvin Yu-Chian Chen
Summary: Traditional Chinese Medicine (TCM) is a valuable resource for modern drug discovery. However, two challenges exist in applying AI-assisted drug discovery (AIDD) to guide TCM drug discovery: lack of standardized TCM-related information and AIDD's susceptibility to failures in out-of-domain data. To address these challenges, TCMBank, the largest systematic free TCM database, was developed as an extension of TCM Database@Taiwan. TCMBank provides comprehensive information on herbs, ingredients, targets, and diseases, and enables researchers to identify potential leads and drug repurposing through an ensemble learning-based drug discovery protocol. It offers a valuable tool for accelerating drug discovery using artificial intelligence.
Letter
Biochemistry & Molecular Biology
Qiujie Lv, Guanxing Chen, Haohuai He, Ziduo Yang, Lu Zhao, Kang Zhang, Calvin Yu-Chian Chen
SIGNAL TRANSDUCTION AND TARGETED THERAPY
(2023)
Article
Computer Science, Artificial Intelligence
Qiujie Lv, Guanxing Chen, Ziduo Yang, Weihe Zhong, Calvin Yu-Chian Chen
Summary: Finding candidate molecules with favorable pharmacological activity, low toxicity, and proper pharmacokinetic properties is an important task in drug discovery. Deep neural networks have made impressive progress in accelerating and improving drug discovery, but they rely on a large amount of label data. Applying deep neural networks for low-data drug discovery is still a challenge.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Chemistry, Physical
Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Calvin Yu-Chian Chen
Summary: This paper proposes a geometric interaction graph neural network (GIGN) that incorporates 3D structures and physical interactions for predicting protein-ligand binding affinities. GIGN achieves state-of-the-art performance on three external test sets and its predictions are shown to be biologically meaningful through visualization of learned representations of protein-ligand complexes.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Computer Science, Artificial Intelligence
Zhenchao Tang, Guanxing Chen, Hualin Yang, Weihe Zhong, Calvin Yu-Chian Chen
Summary: This article introduces a pluggable substructure interaction module called DSIL-DDI, which can learn domain-invariant representations of DDI from the source domain. It improves the generalization and interpretability of DDI prediction modeling and provides valuable insights for OOD DDI predictions.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yiyang Yin, Shuangling Luo, Jun Zhou, Liang Kang, Calvin Yu-Chian Chen
Summary: Medical image segmentation is crucial for modern healthcare systems, especially in reducing surgical risks and planning treatments. Transanal total mesorectal excision (TaTME) has become an important method for treating colon and rectum cancers. Real-time instance segmentation during TaTME surgeries can assist surgeons in minimizing risks. However, the dynamic variations in TaTME images pose challenges for accurate instance segmentation.
Article
Computer Science, Artificial Intelligence
Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen
Summary: This study proposes a progressive learning multi-scale feature blending model for image deraining tasks. The model utilizes detail dilation and texture extraction to improve the restoration of rainy images. Experimental results show that the model achieves near state-of-the-art performance in rain removal tasks and exhibits better rain removal realism.
Article
Chemistry, Physical
Tiejun Dong, Ziduo Yang, Jun Zhou, Calvin Yu-Chian Chen
Summary: This article introduces a novel geometric graph network called FlexPose, which is capable of directly modeling flexible protein-ligand complex structures. The model outperforms popular docking tools and recent deep learning methods, especially in tasks involving protein conformation changes. It also provides affinity estimation and model confidence for post-analysis.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Automation & Control Systems
Guanxing Chen, Haohuai He, Calvin Yu-Chian Chen
Summary: This study constructs a drug-target affinity dataset for two novel therapeutic targets for CRC and designs a deep learning-based MFAE model. The model simulates complex drug-target interactions through hierarchical feature extraction and multilevel feature aggregation and enhancement. Evaluation demonstrates the model's superior predictive accuracy, and fine-tuning enhances its performance. Two potential repurposing candidates are identified through virtual screening.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingwen Huang, Guanxing Chen, Haiqing Liu, Wei Jiang, Siyao Mai, Lingli Zhang, Hong Zeng, Shaoxu Wu, Calvin Yu-Chian Chen, Zhuo Wu
Summary: This study developed a non-invasive automated machine learning (AutoML) model to differentiate urothelial carcinoma with squamous differentiation (UC w/SD) from pure urothelial carcinoma (UC) in patients with muscle-invasive bladder carcinoma (MIBC). The model showed robust differentiation capabilities in both training and test sets, making it a potentially useful tool for pre-operative diagnosis.
EUROPEAN RADIOLOGY
(2023)