1.Application of motor behavior evaluation method of zebrafish model in traditional Chinese medicine research.
Xin LI ; Qin-Qin LIANG ; Bing-Yue ZHANG ; Zhong-Shang XIA ; Gang BAI ; Zheng-Cai DU ; Er-Wei HAO ; Jia-Gang DENG ; Xiao-Tao HOU
China Journal of Chinese Materia Medica 2025;50(10):2631-2639
The zebrafish model has attracted much attention due to its strong reproductive ability, short research cycle, and ease of maintenance. It has always been an important vertebrate model system, often used to carry out human disease research. Its motor behavior features have the advantages of being simpler, more intuitive, and quantifiable. In recent years, it has received widespread attention in the study of traditional Chinese medicine(TCM)for the treatment of sleep disorders, neurodegenerative diseases, fatigue, epilepsy, and other diseases. This paper reviews the characteristics of zebrafish motor behavior and its applications in the pharmacodynamic verification and mechanism research of TCM extracts, active ingredients, and TCM compounds, as well as in active ingredient screening and safety evaluation. The paper also analyzes its advantages and disadvantages, with the aim of improving the breadth and depth of zebrafish and its motor behavior applications in the field of TCM research.
Zebrafish/physiology*
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Medicine, Chinese Traditional
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Drugs, Chinese Herbal/therapeutic use*
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Disease Models, Animal
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Drug Evaluation, Preclinical/methods*
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Animals
;
Sleep Wake Disorders/physiopathology*
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Epilepsy/physiopathology*
;
Neurodegenerative Diseases/physiopathology*
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Fatigue/physiopathology*
;
Behavior, Animal/physiology*
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Motor Activity/physiology*
2.A Novel Functional Method of Protector Screening for Zebrafish Lateral Line Hair Cells via the Acoustic Escape Response.
Ling ZHENG ; Qiaosen SHEN ; Tong ZHAO ; Qingsong LIU ; Zihao HUANG ; Feng ZHAO ; Mengqian ZHANG ; Yongdong SONG ; Daogong ZHANG ; Dong LIU ; Fangyi CHEN
Neuroscience Bulletin 2025;41(9):1537-1552
Zebrafish larvae are useful for identifying chemicals against lateral line (LL) hair cell (HC) damage and this type of chemical screen mainly focuses on searching for protectors against cell death. To expand the candidate pool of HC protectors, a self-built acoustic escape response (AER)-detecting system was developed to apply both low-frequency near-field sound transmission and AER image acquisition/processing modules. The device quickly confirmed the changed LL HC functions caused by most known ototoxins, protectors, and neural transmission modifiers, or knockdown of LL HC-expressing genes. With ten devices wired in tandem, five 'hit' chemicals were identified from 124 cyclin-dependent kinase inhibitors to partially restore cisplatin-damaged AER in less than a day. AS2863619, ribociclib, and SU9516 among the hits, protected the HCs in the mouse cochlea. Therefore, using free-swimming larval zebrafish, the self-made AER-detecting device can efficiently identify compounds that are protective against HC damage, including cell death and loss-of-function.
Animals
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Zebrafish
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Hair Cells, Auditory/physiology*
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Lateral Line System/cytology*
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Escape Reaction/physiology*
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Larva
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Mice
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Cisplatin/toxicity*
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Drug Evaluation, Preclinical/methods*
3.KG-CNNDTI: a knowledge graph-enhanced prediction model for drug-target interactions and application in virtual screening of natural products against Alzheimer's disease.
Chengyuan YUE ; Baiyu CHEN ; Long CHEN ; Le XIONG ; Changda GONG ; Ze WANG ; Guixia LIU ; Weihua LI ; Rui WANG ; Yun TANG
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1283-1292
Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy*
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Biological Products/therapeutic use*
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Humans
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Neural Networks, Computer
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Machine Learning
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Drug Discovery/methods*
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Algorithms
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Drug Evaluation, Preclinical/methods*
4.A DC-iDEP-based fast and high-resolution method for detection of LPS tolerance of RAW264.7 macrophages and screening of therapeutic agents.
Chinese Journal of Biotechnology 2024;40(11):4149-4156
Sepsis is a leading life-threatening problem in intensive care medicine. The recent studies have given insights into the transition from inflammation to long-term immunosuppression in sepsis. This condition might cause physiological changes that comprise the lipopolysaccharide (LPS) tolerance. Most studies about the LPS tolerance focus on the reduced ability of macrophages to secrete pro-inflammatory cytokines. Although this method has identified various molecular changes, it remains ambiguous since changes in the whole cell population are measured as an average and markers are required for cell recognition. A fast and label-free method is in demand to detect cell tolerance and screen therapeutic agents that might reverse the process. In this study, direct current insulator-based dielectrophoresis (DC-iDEP) was used to characterize the biophysical properties (EKMr) of inflamed cells, LPS-tolerant cells, and cells treated with therapeutic agents. The results showed that the EKMr of these cells was 4.28×108, 3.13×108, and 4.25×108 V/m2, respectively, suggesting that the established method was useful in distinguishing LPS-tolerant cells. The device holds the promise to be applied in medical diagnosis and medicine screening.
Lipopolysaccharides/pharmacology*
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Animals
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Mice
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Macrophages/metabolism*
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Immune Tolerance/drug effects*
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RAW 264.7 Cells
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Drug Evaluation, Preclinical
5.Establishment of Patient-Derived Xenograft (PDX) Zebrafish Model of Multiple Myeloma and Its Application in Drug Screening.
Zhen YU ; Ying LI ; Ke-Fei WANG ; Lu WANG ; Mu HAO
Journal of Experimental Hematology 2023;31(6):1745-1749
OBJECTIVE:
To establish a MM patient-derived tumor xenograft model (MM-PDX) in zebrafish, and to evaluate the anti-myeloma activity of indirubin-3'-monoxime(I3MO) using this model.
METHODS:
Zebrafish embryos 2 days after fertilization were transplanted with fluorescence labeled myeloma primary tumor cells, the survival of primary tumor cells in zebrafish was observed at 0,16 and 24 hours after cell injection. The zebrafish embryos after tumor cell transplantation were randomly divided into control group, BTZ treatment and I3MO treatment group. Before and 24 hours after treatment with BTZ and I3MO, the positive area with calcein or Dil in zebrafish were observed under fluorescence microscope to reflect the survival of tumor cells, and it was verified.
RESULTS:
MM patient derived tumor cells survived in zebrafish. The construction of MM-PDX was successful. Compared with control group, the fluo- rescence area of the BTZ and I3MO treatment groups in zebrafish were significantly decreased(P<0.05), and BTZ and I3MO significantly inhibited the survival of MM cells in zebrafish.
CONCLUSION
MM-PDX model was successfully established. Zebrafish model derived from tumor cells of MM patients can be used as a tool for drug screening of MM.
Animals
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Humans
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Bortezomib/therapeutic use*
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Cell Line, Tumor
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Disease Models, Animal
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Drug Evaluation, Preclinical
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Heterografts
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Multiple Myeloma/pathology*
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Xenograft Model Antitumor Assays
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Zebrafish
6.Advances of using microfluidic chips for research and diagnosis of pulmonary inflammatory diseases.
Taoran XIA ; Wei ZOU ; Jing LIU
Chinese Journal of Biotechnology 2021;37(11):3905-3914
Microfluidic chip technology integrates the sample preparation, reaction, separation and detection on a chip. It consists a network of microchannels, which controls the whole system through fluid. With the advantages of portability, high throughput, and the ability to simulate the microenvironment in vivo, it has a broad application prospect in the research of disease diagnosis, pathogenesis and drug screening. Pulmonary inflammatory disease is a common disease usually caused by bacterial, viral and fungal infections. Early pneumonia is often difficult to diagnose due to lack of obvious respiratory symptoms or the symptoms are mostly atypical, but the disease progresses rapidly. Recently, microfluidic chip technology has been increasingly used to the study of pulmonary inflammatory diseases. In particular, it has been used to develop a "lung-on-a-chip" model, which can reproduce the key structure, function and mechanical properties of human alveolar capillary interface (i.e., the basic functional unit of a living lung), and well simulate the alveoli in vitro. Compared with the cell and animal models, this multifunctional micro experimental platform has great advantages. This article summarizes the advances of using microfluidic chips for the research and diagnosis of pulmonary inflammatory diseases, with the aim to provide new ideas for researchers in this area.
Animals
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Drug Evaluation, Preclinical
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Humans
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Lung
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Microfluidic Analytical Techniques
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Microfluidics
7.High-throughput screening identifies established drugs as SARS-CoV-2 PLpro inhibitors.
Yao ZHAO ; Xiaoyu DU ; Yinkai DUAN ; Xiaoyan PAN ; Yifang SUN ; Tian YOU ; Lin HAN ; Zhenming JIN ; Weijuan SHANG ; Jing YU ; Hangtian GUO ; Qianying LIU ; Yan WU ; Chao PENG ; Jun WANG ; Chenghao ZHU ; Xiuna YANG ; Kailin YANG ; Ying LEI ; Luke W GUDDAT ; Wenqing XU ; Gengfu XIAO ; Lei SUN ; Leike ZHANG ; Zihe RAO ; Haitao YANG
Protein & Cell 2021;12(11):877-888
A new coronavirus (SARS-CoV-2) has been identified as the etiologic agent for the COVID-19 outbreak. Currently, effective treatment options remain very limited for this disease; therefore, there is an urgent need to identify new anti-COVID-19 agents. In this study, we screened over 6,000 compounds that included approved drugs, drug candidates in clinical trials, and pharmacologically active compounds to identify leads that target the SARS-CoV-2 papain-like protease (PLpro). Together with main protease (M
Antiviral Agents/therapeutic use*
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Binding Sites
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COVID-19/virology*
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Coronavirus Papain-Like Proteases/metabolism*
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Crystallography, X-Ray
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Drug Evaluation, Preclinical
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Drug Repositioning
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High-Throughput Screening Assays/methods*
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Humans
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Imidazoles/therapeutic use*
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Inhibitory Concentration 50
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Molecular Dynamics Simulation
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Mutagenesis, Site-Directed
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Naphthoquinones/therapeutic use*
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Protease Inhibitors/therapeutic use*
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Protein Structure, Tertiary
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Recombinant Proteins/isolation & purification*
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SARS-CoV-2/isolation & purification*
8.Study on liver diseases with zebrafish as an important tool.
Zhi-Qi LI ; Yue XU ; Xia ZHAO ; Zhe JIA ; Zhao-Yi WANG ; Dan FENG ; Cui-Bai LI ; Zhi-Qiang MA ; Chong-Jun ZHAO ; Rui-Chao LIN
China Journal of Chinese Materia Medica 2021;46(2):320-332
With the increasing incidence of hepatobiliary diseases, it is particularly important to understand the role of molecular, cellular and physiological factors in the clinical diagnosis and treatment with traditional Chinese medicine(TCM) in the development of liver disease. Appropriate animal models can help us identify the possible mechanisms of relevant diseases. Danio rerio(zebrafish) model was traditionally used to study embryonic development, and has been gradually used in screening and evaluation of liver diseases and relevant drug in recent years. Zebrafish embryos develop rapidly and the digestive organs of 5-day-old juvenile fish are all mature. At this stage, they may develop hepatobiliary diseases induced by developmental defects or compounds. Zebrafish liver is similar to human liver in cell composition, function, signal transduction, response to injury and cell process mediating liver disease. Furthermore, due to the high conservation of genes and proteins between humans and zebrafish, zebrafish becomes an alternative system for studying basic mechanisms of liver disease. Therefore, genetic screening could be performed to identify new genes involving specific disease processes, and chemical screening could be made for drugs in specific processes. This paper briefly introduced the experimental properties of zebrafish as model system, emphasized the study progress of zebrafish models for pathological mechanism of liver diseases, especially fatty liver, and drug screening and evaluation, so as to provide ideas and techniques for the future liver toxicity assessment of TCM.
Animals
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Drug Evaluation, Preclinical
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Humans
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Liver
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Liver Diseases/genetics*
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Medicine, Chinese Traditional
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Zebrafish/genetics*
9.Potential treatment of COVID-19 by inhibitors of human dihydroorotate dehydrogenase.
Protein & Cell 2020;11(10):699-702
Animals
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Betacoronavirus
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Coronavirus Infections
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drug therapy
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Drug Discovery
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Drug Evaluation, Preclinical
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Enzyme Inhibitors
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therapeutic use
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Humans
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Mice
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Molecular Structure
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Orthomyxoviridae Infections
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drug therapy
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Oseltamivir
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therapeutic use
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Oxidoreductases
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antagonists & inhibitors
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Pandemics
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Pneumonia, Viral
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drug therapy
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Pyrimidines
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biosynthesis
10.Novel and potent inhibitors targeting DHODH are broad-spectrum antivirals against RNA viruses including newly-emerged coronavirus SARS-CoV-2.
Rui XIONG ; Leike ZHANG ; Shiliang LI ; Yuan SUN ; Minyi DING ; Yong WANG ; Yongliang ZHAO ; Yan WU ; Weijuan SHANG ; Xiaming JIANG ; Jiwei SHAN ; Zihao SHEN ; Yi TONG ; Liuxin XU ; Yu CHEN ; Yingle LIU ; Gang ZOU ; Dimitri LAVILLETE ; Zhenjiang ZHAO ; Rui WANG ; Lili ZHU ; Gengfu XIAO ; Ke LAN ; Honglin LI ; Ke XU
Protein & Cell 2020;11(10):723-739
Emerging and re-emerging RNA viruses occasionally cause epidemics and pandemics worldwide, such as the on-going outbreak of the novel coronavirus SARS-CoV-2. Herein, we identified two potent inhibitors of human DHODH, S312 and S416, with favorable drug-likeness and pharmacokinetic profiles, which all showed broad-spectrum antiviral effects against various RNA viruses, including influenza A virus, Zika virus, Ebola virus, and particularly against SARS-CoV-2. Notably, S416 is reported to be the most potent inhibitor so far with an EC of 17 nmol/L and an SI value of 10,505.88 in infected cells. Our results are the first to validate that DHODH is an attractive host target through high antiviral efficacy in vivo and low virus replication in DHODH knock-out cells. This work demonstrates that both S312/S416 and old drugs (Leflunomide/Teriflunomide) with dual actions of antiviral and immuno-regulation may have clinical potentials to cure SARS-CoV-2 or other RNA viruses circulating worldwide, no matter such viruses are mutated or not.
Animals
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Antiviral Agents
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pharmacology
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therapeutic use
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Betacoronavirus
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drug effects
;
physiology
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Binding Sites
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drug effects
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Cell Line
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Coronavirus Infections
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drug therapy
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virology
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Crotonates
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pharmacology
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Cytokine Release Syndrome
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drug therapy
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Drug Evaluation, Preclinical
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Gene Knockout Techniques
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Humans
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Influenza A virus
;
drug effects
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Leflunomide
;
pharmacology
;
Mice
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Mice, Inbred BALB C
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Orthomyxoviridae Infections
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drug therapy
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Oseltamivir
;
therapeutic use
;
Oxidoreductases
;
antagonists & inhibitors
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metabolism
;
Pandemics
;
Pneumonia, Viral
;
drug therapy
;
virology
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Protein Binding
;
drug effects
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Pyrimidines
;
biosynthesis
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RNA Viruses
;
drug effects
;
physiology
;
Structure-Activity Relationship
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Toluidines
;
pharmacology
;
Ubiquinone
;
metabolism
;
Virus Replication
;
drug effects

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