With the widespread use of antimicrobial agents, bacterial drug resistance has become an increasingly severe issue, posing significant challenges to global healthcare. Traditional Chinese medicine (TCM) has emerged as a research focus in the field of bacterial resistance due to its broad sources, high safety profile, low toxicity, and antimicrobial mechanisms distinct from those of chemical drugs. Studies have shown that various TCM herbs, such as Scutellaria baicalensis, exert antibacterial effects through multiple pathways, including disrupting the integrity of bacterial cell walls and membranes, inhibiting nucleic acid and protein synthesis, and impairing energy production and metabolism. Additionally, certain TCM herbs, including Scutellaria baicalensis, Coptis chinensis, and Fritillaria thunbergii, can reverse antimicrobial resistance by eliminating resistant plasmids, inhibiting bacterial efflux pump function, and suppressing β-lactamase activity. TCM holds promising potential for antibacterial applications and synergistically reversing antimicrobial resistance, though systematic analyses remain limited. This review summarizes the mechanisms of antibacterial action of TCM and current research on its synergistic use with antimicrobial agents to reverse drug resistance, aiming to provide insights for developing novel TCM-based antimicrobials and addressing bacterial resistance.

Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

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 ; Zebrafish ; Hair Cells, Auditory/physiology* ; Lateral Line System/cytology* ; Escape Reaction/physiology* ; Larva ; Mice ; Cisplatin/toxicity* ; Drug Evaluation, Preclinical/methods*

Objective : To investigate the role of enhancer of zeste homolog 2(EZH2)-trimethylated lysine 27 of histone H3(H3K27me3) axis in the dedifferentiation of thyroid cancer and its clinical value as a potential target for the treatment of anaplastic thyroid cancer(ATC). Methods : Immunohistochemical SP method was used to detect the expression of EZH2, H3K27me3, paired box gene 8(PAX8), thyroglobulin(TG) and thyroid transcription factor 1(TTF1) in ATC and papillary thyroid carcinoma(PTC) and their adjacent tissues. The relationship between EZH2 and thyroid differentiation markers(PAX8, TTF1, TG) was further analyzed by gene expression omnibus(GEO) database. ATC cell lines 8305C and BHT-101 were culturedin vitro. Real-time reverse transcription PCR(RT-qPCR) was used to detect the expression of thyroid differentiation markers(TTF1, PAX8) mRNA in ATC cell lines treated with EZH2 inhibitor(GSK126), and evaluate the potential therapeutic effect of GSK126in vitro. The effects of GSK126 and BRAF inhibitor vemurafenib on the proliferation of ATC cell lines were observed by cell proliferation assay. Results : The expression of EZH2 in ATC tissues was significantly higher than that in papillary thyroid carcinoma and adjacent tissues(P<0.05). The expression of H3K37me3 in ATC tissues was significantly lower than that in PTC tissues(P<0.05). EZH2 was negatively correlated with PAX8 and TG expression levels, but not with TTF1 expression level.In vitroexperiments, GSK126 could reverse the expression of thyroid differentiation markers PAX8 and TTF1 in ATC cell lines. GSK126 combined with BRAF inhibitor vemurafenib could significantly inhibit the growth of ATC cell lines. Conclusion The EZH2-H3K27me3 axis plays an important role in regulating thyroid specific markers, and the inhibition of EZH2 by small molecular compounds is a promising target for ATC treatment in the future.

In recent years, significant progress has been made in pharmacological research on the treatment of ischemic stroke with monomeric components of traditional Chinese medicine, among which flavonoids have shown good neuroprotective effects. This article reviews the regulatory role of flavonoids in the signaling pathway of ischemic brain injury.

Objective:To evaluate the efficacy and safety of Qingxuan Zhike granules in improving cough symptoms and shortening the course of influenza (wind-heat invading lung) in children.Methods:In this multicenter, randomized, controlled clinical trial, a total of 240 outpatient influenza patients from 7 hospitals, including the First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, from April 2023 to December 2023 were collected.The subjects were randomly divided into the control group and the experimental group via SAS software using the block randomization method.The differences between two groups were compared with t test, corrected t test and χ2 test.Subjects in the control group were given Oseltamivir phosphate granules, orally, twice a day (weight ≤15 kg, 30 mg/time; weight >15-23 kg, 45 mg/time; weight >23-40 kg, 60 mg/time; weight >40 kg, 75 mg/time; age≥13 years, 75 mg/time).In addition to Oseltamivir phosphate granules, subjects in the experimental group were also given Qingxuan Zhike granules, orally, 3 times a day (1-3 years old, 1/2 bag each time; >3-6 years old, 3/4 bag each time; >6-14 years old, 1 bag each time).After 5 days of treatment, the medication was suspended for 2 days.The effect of cough, antipyretic effect, clinical recovery rate, clinical recovery time, Canadian Acute Respiratory Illness and Flu Scale (CARIFS) score, traditional Chinese medicine (TCM) syndrome effect, complication rate, and adverse reactions were evaluated between the two groups. Results:Finally, 232 cases were included in the study, including 115 cases in the experimental group and 117 cases in the control group.Before and after treatment, there were no significant difference in CARIFS cough score between the experimental group and the control group (all P>0.05).After treatment, the change in CARIFS cough score in the experimental group [(-1.00±0.91) scores]was significantly higher than that in the control group [(-0.75±0.98) scores] ( t=-1.995, P=0.047).After treatment, the change in TCM syndrome cough score in the experimental group [(-1.69±1.51) scores] was significantly higher than that in the control group [(-0.97±1.63) scores] ( t′=-0.035, P=0.001).The time of complete regression of fever in the experimental group [(44.82±22.72) h] was shorter than that in the control group [(51.35±27.07) h], and the difference between the two groups was statistically significant ( t=-1.966, P=0.050).The fever score showed that the area under the curve between the CARIFS symptom fever score and time in the experimental group was 4.40±2.42, while that in the control group was 5.12±2.44, and the difference between the two groups was statistically significant ( t=-2.252, P=0.025).The clinical recovery rate was 93.91%(108/115) in the experimental group and 92.31%(108/117) in the control group, and there was no significant difference between the two groups ( χ2=0.233, P>0.05).The clinical recovery time in the experimental group [(2.93±1.21) d] was shorter than that in the control group [(3.29±1.15) d], and the difference between the two groups was statistically significant ( t=-2.279, P=0.024).After treatment, there was a significant difference in TCM syndrome score variation between the experimental group [(-12.00±4.13) scores] and the control group [(-10.85±4.31) scores] ( t′=-2.067, P=0.040).No complication occurred in both groups, and there was no significant difference in the incidence of adverse events between the two groups ( χ2=1.299, P>0.05). Conclusions:Qingxuan Zhike granules combined with Oseltamivir phosphate can effectively improve the cough symptoms associated with influenza in children, shorten the time and course of fever, and improve the TCM syndrome score; thus, they are safe in clinical application.

Recent advancement in natural language processing (NLP) and medical imaging empowers the wide applicability of deep learning models. These developments have increased not only data understanding, but also knowledge of state-of-the-art architectures and their real-world potentials. Medical imaging researchers have recognized the limitations of only targeting images, as well as the importance of integrating multimodal inputs into medical image analysis. The lack of comprehensive surveys of the current literature, however, impedes the progress of this domain. Existing research perspectives, as well as the architectures, tasks, datasets, and performance measures examined in the present literature, are reviewed in this work, and we also provide a brief description of possible future directions in the field, aiming to provide researchers and healthcare professionals with a detailed summary of existing academic research and to provide rational insights to facilitate future research.
Humans ; Natural Language Processing ; Surveys and Questionnaires