Tacrolimus is the cornerstone immunosuppressant after liver transplantation, effectively reducing the risk of post-operative rejection. However, optimizing its clinical dosage remains a major challenge. Cytochrome P450 (CYP) 3A5 is the principal enzyme governing tacrolimus metabolism and therefore dominates the metabolic process of the drug. CYP3A5 genetic polymorphisms are a key determinant of inter-patient variability of metabolic capacities and adverse clinical outcomes. In this article the population-specific distribution of CYP3A5 polymorphisms, the principal factors modulating early tacrolimus metabolism after liver transplantation and the clinical implementation of genotype-guided individualized dosing regimens were summarized. The aim is to provide a theoretical foundation for precise tacrolimus dosing strategies in liver transplantation, explore the feasibility of personalized medication approaches, and promote the practice of precision medicine in the field of organ transplantation.

OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

OBJECTIVE: To prepare decellularized nerve grafts from alpha-1, 3-galactosyltransferase (GGTA1) gene-edited pigs and explore their biocompatibility for xenotransplantation. METHODS: The sciatic nerves from wild-type pigs and GGTA1 gene-edited pigs were obtained and underwent decellularization. The alpha-galactosidase (α-gal) content in the sciatic nerves of GGTA1 gene-edited pigs was detected by using IB4 fluorescence staining and ELISA method to verify the knockout status of the GGTA1 gene, and using human sciatic nerve as a control. HE staining and scanning electron microscopy observation were used to observe the structure of the nerve samples. Immunofluorescence staining and DNA content determination were used to evaluate the degree of decellularization of the nerve samples. Fourteen nude mice were taken, and subcutaneous capsules were prepared on both sides of the spine. Decellularized nerve samples of wild-type pigs ( n=7) and GGTA1 gene-edited pigs ( n=7) were randomly implanted in the subcutaneous capsules. Blood was drawn at 1, 3, 5, and 7 days after implantation to detect neutrophil counting. RESULTS: IB4 fluorescence staining and ELISA detection showed that GGTA1 gene was successfully knocked out in the nerves of GGTA1 gene-edited pigs. HE staining showed that the structure of the decellularized nerve from GGTA1 gene-edited pigs was well preserved; the nerve basement membrane tube structure was visible under scanning electron microscopy; no cell nuclei was observed, and the extracellular matrix components was retained in the nerve grafts by immunofluorescence staining; and the DNA content was significantly reduced when compared with the normal nerves ( P<0.05). In vivo experiments showed that the number of neutrophils in the two groups were similar at 1, 3, and 7 days after implantation, with no significant difference ( P>0.05); only at 5 days, the number of neutrophils was significantly lower in the GGTA1 gene-edited pigs than in the wild-type pigs ( P<0.05). CONCLUSION The decellularized nerve grafts from GGTA1 gene-edited pigs have well-preserved nerve structure, complete decellularization, retain the natural nerve basement membrane tube structure and components, and low immune response after xenotransplantation through in vitro experiments.
Animals ; Transplantation, Heterologous ; Galactosyltransferases/genetics* ; Sciatic Nerve/immunology* ; Swine ; Tissue Engineering/methods* ; Humans ; Graft Rejection/prevention & control* ; Gene Editing ; Mice ; Mice, Nude ; Heterografts/immunology* ; Animals, Genetically Modified ; Tissue Scaffolds ; Decellularized Extracellular Matrix

OBJECTIVE: Since Omicron will likely persist, this trial evaluates the safety and efficacy of Shufeng Jiedu Granule (SFJDG) for mild Omicron infection, aims at finding new therapies especially for home-treated patients. METHODS: This randomized, double-blind, placebo-controlled, multi-center phase III trial involves 844 patients, divided into a treatment group (422) and control group (422). Participants will receive SFJDG or placebo for 7 d (1.2 g/bag, 2 bags, 3 times/d). Hospital evaluations will be done on days 1 and 8, with telephone assessments on days 3 and 5. Follow-up continues on days 10 and 14. Diary cards will track symptom scores and safety data. The primary outcome is the time to sustained clinical recovery from corona virus disease 2019 (COVID-19) symptoms. An interim analysis will occur after 70 % of patients complete follow-up, with Type I error correction (α1 = 0.015) at interim analysis based on O'Brien-Fleming-type cumulative error spending function. RESULTS: This phase III trial evaluates the efficacy and safety of SFJDG for mild COVID-19, focusing on real-world applicability for home-managed patients. The study's randomized, double-blind, placebo-controlled design ensures methodological rigor, while its comprehensive outcome measures address both symptom recovery and treatment safety. By emphasizing symptom resolution and recovery time, the trial aligns with the clinical priorities for managing mild cases of COVID-19. The findings could offer valuable insights into SFJDG's role in improving patient outcomes and addressing gaps left by existing antiviral therapies, particularly in symptom management. CONCLUSION The global risk assessment remains high due to the ongoing virulence of SARS-CoV-2 Omicron sub-lineages. This Phase III study adopts a robust methodology to investigate SFJDG as a treatment for mild COVID-19 as well as it's effectiveness and safety. Furthermore, this study aim to provide sufficient scientific evidence for the market registration of SFJDG especially for home-treated patients. If successful, SFJDG could be a meaningful addition to therapeutic options for mild infections, supporting public health strategies in managing the ongoing impact of SARS-CoV-2.

This research study focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both Na_V1.7, Na_V1.8, and Na_V1.9 and K_V7 channels, a crucial regulator in controlling NP symptoms. The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury (CCI) mouse model. The results demonstrated that E0199 significantly inhibited Na_V1.7, Na_V1.8, and Na_V1.9 channels with a particularly low half maximal inhibitory concentration (IC₅₀) for Na_V1.9 by promoting sodium channel inactivation, and also effectively increased K_V7.2/7.3, K_V7.2, and K_V7.5 channels, excluding K_V7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.

Cardiotoxicity is a critical issue in drug development that poses serious health risks, including potentially fatal arrhythmias. The human ether-à-go-go related gene (hERG) potassium channel, as one of the primary targets of cardiotoxicity, has garnered widespread attention. Traditional cardiotoxicity testing methods are expensive and time-consuming, making computational virtual screening a suitable alternative. In this study, we employed machine learning techniques utilizing molecular fingerprints and descriptors to predict the cardiotoxicity of compounds, with the aim of improving prediction accuracy and efficiency. We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms, including Gaussian naive Bayes (NB), random forest (RF), support vector machine (SVM), K-nearest neighbors (KNN), eXtreme gradient boosting (XGBoost), and Transformer models, to build predictive models. Our models demonstrated advanced predictive performance. The best machine learning model, XGBoost Morgan, achieved an accuracy (ACC) value of 0.84, and the deep learning model, Transformer_Morgan, achieved the best ACC value of 0.85, showing a high ability to distinguish between toxic and non-toxic compounds. On an external independent validation set, it achieved the best area under the curve (AUC) value of 0.93, surpassing ADMETlab3.0, Cardpred, and CardioDPi. In addition, we explored the integration of molecular descriptors and fingerprints to enhance model performance and found that ensemble methods, such as voting and stacking, provided slight improvements in model stability. Furthermore, the SHapley Additive exPlanations (SHAP) explanations revealed the relationship between benzene rings, fluorine-containing groups, NH groups, oxygen in ether groups, and cardiotoxicity, highlighting the importance of these features. This study not only improved the predictive accuracy of cardiotoxicity models but also promoted a more reliable and scientifically interpretable method for drug safety assessment. Using computational methods, this study facilitates a more efficient drug development process, reduces costs, and improves the safety of new drug candidates, ultimately benefiting medical and public health.

Macrophages are innate immune cells connected with the development of inflammation. Retinoic acid has previously been proved to have anti-inflammatory and anti-arthritic properties. However, the exact mechanism through which retinoic acid modulates arthritis remains unclear. This study aimed to investigate whether retinoic acid ameliorates rheumatoid arthritis by modulating macrophage polarization. This study used retinoic acid to treat mice with adjuvant arthritis and evaluated anti-inflammatory effects by arthritis score, thermal nociceptive sensitization test, histopathologic examination and immunofluorescence assays. In addition, its specific anti-arthritic mechanism was investigated by flow cytometry, cell transfection and inflammatory signaling pathway assays in RAW264.7 macrophages in vitro. Retinoic acid significantly relieved joint pain and attenuated inflammatory cell infiltration in mice. Furthermore, this treatment modulated peritoneal macrophage polarization, increased levels of arginase 1, as well as decreased inducible nitric oxide synthase expression. In vitro, we verified that retinoic acid promotes macrophage transition from the M1 to M2 type by upregulating mitogen-activated protein kinase (MAPK) phosphatase 1 (MKP-1) expression and inhibiting P38, JNK and ERK phosphorylation in lipopolysaccharide-stimulated RAW264.7 cells. Notably, the therapeutic effects of retinoic acid were inhibited by MKP-1 knockdown. Retinoic acid exerts a significant therapeutic effect on adjuvant arthritis in mice by regulating macrophage polarization through the MKP-1/MAPK pathway, and play an important role in the treatment of rheumatic diseases.

Macrophages are innate immune cells connected with the development of inflammation. Retinoic acid has previously been proved to have anti-inflammatory and anti-arthritic properties. However, the exact mechanism through which retinoic acid modulates arthritis remains unclear. This study aimed to investigate whether retinoic acid ameliorates rheumatoid arthritis by modulating macrophage polarization. This study used retinoic acid to treat mice with adjuvant arthritis and evaluated anti-inflammatory effects by arthritis score, thermal nociceptive sensitization test, histopathologic examination and immunofluorescence assays. In addition, its specific anti-arthritic mechanism was investigated by flow cytometry, cell transfection and inflammatory signaling pathway assays in RAW264.7 macrophages in vitro. Retinoic acid significantly relieved joint pain and attenuated inflammatory cell infiltration in mice. Furthermore, this treatment modulated peritoneal macrophage polarization, increased levels of arginase 1, as well as decreased inducible nitric oxide synthase expression. In vitro, we verified that retinoic acid promotes macrophage transition from the M1 to M2 type by upregulating mitogen-activated protein kinase (MAPK) phosphatase 1 (MKP-1) expression and inhibiting P38, JNK and ERK phosphorylation in lipopolysaccharide-stimulated RAW264.7 cells. Notably, the therapeutic effects of retinoic acid were inhibited by MKP-1 knockdown. Retinoic acid exerts a significant therapeutic effect on adjuvant arthritis in mice by regulating macrophage polarization through the MKP-1/MAPK pathway, and play an important role in the treatment of rheumatic diseases.

FU Qingzhu Nyuke·Zhongzi is a concentrated manifestation of Fu′s academic thoughts of promoting conception (Zhongzi), which affects the treatment of infertility in later generations. However, the Zhongzi chapter is named after "symptoms" and is not divided into chapters according to "syndromes, "limiting the clinical application of Fu′s thoughts of Zhongzi. The "qi circle in round" theory is the crystallization of HUANG Yuanyu′s academic thinking, advocating for qi transformation, emphasizing middle qi, and considering the four phenomena. This theory highlights the role of middle qi in the rise, fall, and circulation of disease development. The "qi cycle in round" theory, a comprehensive view of Fu′s Zhongzi chapter, reveals that FU Qingzhu emphasizes the transformation of visceral qi in diagnosing and treating infertility, focusing on the spleen, liver, and kidneys. His prescription aims to restore the overall qi mechanism of the body, highlighting the circulation of middle earth and the dredging of meridians, aligning perfectly with the theory of the "qi cycle in round." Therefore, this article argues from the perspective of the "qi cycle in round, "deconstructing the pathogenesis of Fu′s infertility based on the dereliction of spleen earth, stagnation of liver wood, and kidney yin and yang deficiency. It reorganizes Fu′s formula system of Zhongzi by mediating middle earth, soothing liver depression, and regulating kidney function, summarizing the characteristics of Fu′s thoughts of Zhongzi with the aid of qi around the waist and navel, simultaneous treatment of conqenital and acquired essence, and restriction and generation of five phases. Based on the "qi cycle in round" theory, this study explores Fu′s academic thoughts of Zhongzi to strengthen the organic integration of Fu′s academic thoughts of Zhongzi with the theory of "qi cycle in round, "providing new perspectives for the study and inheritance of Fu′s academic thoughts of Zhongzi.