As a new type of model organism， zebrafish is gradually gaining prominence in the field of scientific research. The unique biological characteristics and advantages of zebrafish make them play an increasingly important role in the quality evaluation of traditional Chinese medicine. Compared with other common experimental animals， zebrafish have a fast reproductive and growth speed and high embryo transparency， making them an ideal model for evaluating the quality of traditional Chinese medicine. This provides a new perspective and method for research on traditional Chinese medicine. With the growing global interest in traditional Chinese medicine， it has become crucial to find scientific and accurate methods to evaluate the quality and effectiveness of traditional Chinese medicine. The introduction of the zebrafish model has brought new breakthroughs in the quality evaluation of traditional Chinese medicine. To further promote the application of zebrafish in evaluating the quality of traditional Chinese medicine， this article systematically searched and sorted out the previous studies related to the application of zebrafish for this purpose since 2023. The commonly used disease models and indicators of zebrafish in evaluating the effectiveness of traditional Chinese medicine， as well as the mechanism of zebrafish in exploring the active ingredients of traditional Chinese medicine， were primarily reviewed. The application of zebrafish in evaluating the safety of traditional Chinese medicine and the typical examples in ensuring the quality of traditional Chinese medicine were demonstrated. The limitations encountered by zebrafish models in evaluating the quality of traditional Chinese medicine were highlighted. The resolution of these problems will help further improve the accuracy and reliability of zebrafish in evaluating the quality of traditional Chinese medicine. The article discussed the evaluation of effectiveness， safety， and quality control of zebrafish applied in traditional Chinese medicine， so as to provide a reference for establishing standards for traditional Chinese medicine and promoting its modernization in the future.

ObjectiveBased on the zebrafish model， the hepatotoxicity and anti-osteoporotic activity of evodiamine （EVO） were studied. The mechanism of EVO in treating osteoporosis was explored by using network pharmacology and real-time polymerase chain reaction（Real-time PCR）. MethodsThree days after fertilization （3 dpf）， zebrafish were randomly selected and exposed to different concentrations of EVO solution for 96 hours. The mortality rate of zebrafish at different concentrations was calculated at the exposure endpoint， and a "dose-toxicity" curve was drawn. The 10% lethal concentration （LC₁₀） was calculated. Liver phenotype， acridine orange staining， and pathological tissue sections of liver-transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP））］ were used to confirm hepatotoxicity of EVO. On this basis， prednisolone was used to create a model of osteoporosis in zebrafish. The skull development， area of the skull stained by alizarin red， and cumulative optical density were used as indicators to evaluate the anti-osteoporotic activity of EVO in a safe dose. Based on network pharmacology， the mechanism of action of EVO in the treatment of osteoporosis was predicted and verified through Real-time PCR. ResultsThe LC₁₀ of EVO on zebrafish （7 dpf） was determined to be 0.4 mg·L^-1. Compared with the control group， sublethal concentrations （10=0.36 mg·L^-1 and 1/2LC₁₀=0.18 mg·L^-1） significantly decreased the fluorescence area of zebrafish liver （P<0.05，P<0.01） and increased the number of liver cell apoptosis. The arrangement of liver tissue was disordered and loose， and the vacuole was obvious， especially in the 0.36 mg·L^-1 group. Compared with the control group， under safe dose conditions， 0.08 and 0.02 mg·L^-1 of EVO had no significant effect on the liver. Prednisolone administration significantly reduced the mineralization area and cumulative optical density of zebrafish skulls （P<0.01） compared with the control group. The mineralization area and cumulative optical density of zebrafish skulls in the 0.08 and 0.02 mg·L^-1 groups of EVO were significantly increased compared with the model group （P<0.01）. Network pharmacology prediction suggested that EVO may regulate key targets such as avian sarcoma viral oncogene homolog （SRC）， signal transducer and activator of transcription 3 （STAT3）， interleukin-8 （CXCL8） and tyrosine kinase receptor 2 （ERBB2） to regulate signaling pathways related to lipid and atherosclerosis in diabetic complications， as well as the regulation of inflammatory mediators of tryptophan （TRP） channels. Real-time PCR experiment results indicated that EVO could regulate the above-mentioned targets， as well as genes related to osteoblasts and osteoclasts. ConclusionExcessive doses of EVO can lead to hepatotoxicity in zebrafish. Under safe dosage conditions， EVO can regulate relevant targets to exert anti-osteoporotic activity， providing a reference for the clinical safe use of EVO and ideas for the development of new drugs for osteoporosis.

Lung cancer is the malignant tumor with the highest incidence and mortality rates globally. Current treatment methods for lung cancer primarily include surgery， chemotherapy， targeted therapy， and immunotherapy. However， the main limitations of these treatments are their side effects， the drug resistance， and the economic burden they impose. As a critical cancer pathway， the Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway regulates tumor occurrence and development through multiple mechanisms by influencing various downstream targets. Consequently， the JAK/STAT signaling pathway offers a promising avenue for lung cancer treatment research. Numerous studies have demonstrated that the JAK/STAT signaling pathway plays a key role in the proliferation and growth of lung cancer cells， angiogenesis， epithelial-mesenchymal transition （EMT）， metabolic alterations， remodeling of the immune microenvironment， and the development of treatment resistance. Traditional Chinese medicine （TCM） has garnered increasing attention due to its minimal side effects， low economic burden， and its potential to enhance efficacy and reduce toxicity when used in conjunction with Western medicine. In addition to traditional Chinese medicine compounds， a growing number of Chinese medicine monomers have come into the spotlight because of their more targeted effects. Numerous studies investigating the regulation of the JAK/STAT signaling pathway by TCM in the treatment of lung cancer have demonstrated that TCM can inhibit the proliferation and invasion of lung cancer cells， tumor angiogenesis， and EMT， improve the inflammatory and immunosuppressive microenvironments， and enhance treatment sensitivity by intervening in the JAK/STAT signaling pathway， thereby impeding the progression of lung cancer. In recent years， the research on the regulation of this pathway by TCM in the treatment of lung cancer has been updated rapidly. However， the summary of these studies has not been updated in time. This review summarizes and reflects on the recent research findings regarding the regulation of the JAK/STAT signaling pathway by TCM to intervene in lung cancer from three aspects， introducing the JAK/STAT pathway， elaborating the mechanism of this pathway in lung cancer， and exploring the intervention of TCM in the treatment of lung cancer through this pathway， to provide more reference for the treatment of lung cancer in the future.

Objective To investigate the effect of sodium-glucose cotransporter 2 inhibitor (empagliflozin, EMPA) on myocardial remodeling in a mouse uremic cardiomyopathy (UCM) model induced by 5/6 nephrectomy, through the phosphatidylinositol 3 kinase (PI3K)/protein kinase B (PKB/AKT)/p65 signaling pathway. Methods The animals were divided into three groups: Sham group (n=6), UCM group (n=8), and UCM＋EMPA group (n=8). A UCM model was established in C57BL/6N mice using the 5/6 nephrectomy. Starting from 5 weeks post-surgery, EMPA or a placebo was administered. After 16 weeks, blood pressure, serum creatinine, blood urea nitrogen, 24-hour urine glucose and urine sodium were measured. Cardiac structure and function were assessed by echocardiography. Hematoxylin-eosin (HE) staining and Masson trichrome staining were used to observe pathological changes in the heart and kidneys. Wheat germ agglutinin (WGA) staining was used to evaluate myocardial hypertrophy. The real-time quantitative PCR (RT-qPCR) was used to detect the expression levels of myocardial hypertrophy- and fibrosis-related mRNAs. Western blotting was used to detect the expression levels of PI3K, AKT and p65 in myocardial tissues. Results After 16 weeks, UCM group exhibited significantly higher blood pressure, serum creatinine, blood urea nitrogen than sham group (P＜0.01); UCM＋EMPA group exhibited lower blood pressure, serum creatinine, blood urea nitrogen, and higher 24 h urine sodium and glucose than UCM group (P＜0.05). Echocardiographic results showed ventricular remodeling in the UCM group, evidenced by left ventricular wall thickening, left ventricular enlargement, increased left ventricular mass, and decreased systolic function (P＜0.05); ventricular remodeling was alleviated (P＜0.05), though there was no significant improvement in systolic function in UCM＋EMPA group. HE and Masson stainings revealed myocardial degeneration, necrosis, and interstitial fibrosis in UCM group (P＜0.01); the myocardial pathology improved with reduced collagen deposition in UCM＋EMPA group (P＜0.01). WGA staining confirmed myocardial hypertrophy in UCM group (P＜0.01), while myocardial hypertrophy was alleviated in UCM＋EMPA group (P＜0.01). RT-qPCR results showed myocardial hypertrophy- and fibrosis-related genes (NPPA, NPPB, MYH7, COL1A1, COL3A1, TGF-β1) were upregulated in UCM group (P＜0.05), but downregulated in UCM＋EMPA group. Western blotting showed PI3K, p-AKT/AKT ratio, and p-p65/p65 ratio were increased in UCM group, but decreased in UCM＋EMPA group (P＜0.05). Conclusion EMPA can improve myocardial hypertrophy and fibrosis in the UCM mouse model, and it may play the role through inhibiting the PI3K/AKT/p65 signaling pathway.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Social robots play an important role in the field of medical companionship， providing services such as companion communication， drug monitoring， and rehabilitation guidance for the elderly and other subjects. However， social robots also pose the risk of deceiving medical users. Although certain forms of social robots’ deception can be used for therapeutic purposes， unethical deception can have adverse consequences for patients， doctors， and even society. These risks include causing patients to develop attachment disorders， violating their privacy， endangering their health， and even undermining the credibility of the healthcare system. Faced with the deception problem of social robots， starting from relational theory， medical artificial intelligence developers can conduct ethical regulation from the following two paths. First， social robots should be ethically programmed， including embedding programs for limiting benevolent lies， implementing informed consent principles， and ensuring information accuracy. Second， the deceptive behaviors of social robots should be controlled， requiring developers to take full-process supervision responsibility， design medical social robots that can supervise each other， and participate in formulating quality standards and evidence mechanisms for deception issues.

The fungal bioluminescence pathway (FBP) is a metabolic pathway responsible for the generation of bioluminescence derived from fungi. This pathway utilizes caffeic acid as the substrate, generating a high-energy intermediate, and the decomposition of which yields green fluorescence with a wavelength of approximately 520 nm. The FBP is evolutionally conserved in luminescent fungal groups. Unlike other bioluminescent systems, the FBP is particularly suitable for engineering applications in eukaryotic organisms, especially in plants. Currently, metabolically engineered luminescent plants are able to emit visible light to illuminate its surroundings, which can be visualized clearly in the dark. The fungal bioluminescent system could be explored in various applications in molecular biology, biosensors and glowing ornamental plants, and even green lighting along city streets.
Luminescence ; Light ; Fluorescence ; Eukaryota ; Green Light