OBJECTIVE To establish management index system for rational drug use of key monitoring drugs， and provide reference for the management of key monitoring drugs in the hospitals. METHODS First， the management index system for rational drug use of key monitoring drugs was drafted by collecting the evidence from related medical literature. Next， using a modified Delphi method， twenty experienced experts from the fields of pharmacy， medical practice， healthcare insurance， and finance were selected to participate in two rounds of questionnaire consultations. Based on the expert enthusiasm coefficient， authority coefficient， degree of opinion concentration， and degree of coordination， the final indicators were determined to establish a management index system for rational drug use of key monitored drugs in medical institutions. RESULTS The expert enthusiasm coefficients reached 100% in both rounds of consultation. In first-level， second-level and third-level indicators， the authority coefficients of experts were 0.89， 0.86 and 0.87， and coordination coefficients of the experts in importance score were 0.300 （P＜ 0.05）， 0.125 （P＜0.05） and 0.139 （P＜0.05）， respectively. The average score for the importance of all indicators reached over 3.5， in which the full score ratio ranged from 35% to 100%. Except that the variation coefficient of a third-level indicator “number of specifications purchased for key monitored drugs” was 0.26， the variation coefficients of rest indicators were less than or equal to 0.25. Based on the results of expert consultation， final version of the management index system established in this study， including two first-level indicators （drug procurement and use， and rational drug use）， five second-level indicators （such as the accessibility， cost-effectiveness） and twenty third-level indicators （such as the number of specifications purchased for key monitored drugs， the increase in the cost of key monitored drugs）. CONCLUSIONS The management index system established in this study possesses high reliability and strong operability， and may provide a reference for the management of key monitoring drugs in the hospitals.

As a traditional nutritional and healthy cash crop in China, tea has certain significance in promoting human health and preventing and controlling chronic diseases. Studies have shown that the nutritional health effect of tea is due to its rich functional components, mainly including tea polyphenols, tea pigments, tea polysaccharides, theanine, alkaloids and other bioactive substances. At present, researchers from the academic circles have continuously carried out animal and human experiments on the health effects of various functional components of tea, which has accumulated abundant research data and materials. Based on this, this article reviews the literature on the nutritional and health effects of the main functional components of tea, and adopts the method of evidence-based research to screen and extract relevant data for qualitative and quantitative meta-analysis. Subsequently, the nutritional health effects of the five functional components of tea, namely tea polyphenols, tea pigments, tea polysaccharides, theanine, and alkaloids, are summarized and outlined. Studies have shown that tea polyphenols, tea pigments, tea polysaccharides, theanine and alkaloids have different health effects and are expected to play their unique roles in promoting human health and preventing and controlling diseases.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Autoimmune hepatitis （AIH） is an autoimmune disease characterized by liver parenchymal destruction and chronic fibrosis， and it is often mediated by T cells. The pathogenesis of AIH involves multiple factors， including sex， region， environmental factors， and genetic susceptibility. A notable predisposition is observed in female individuals， and the incidence rate of AIH in female individuals is significantly higher than that in male individuals. This sex difference is associated with various factors， and sex hormones may be an important cause of the female predominance of AIH， although the specific mechanisms remain unclear. An in-depth understanding of the mechanism of action of sex hormones in the pathogenesis of AIH will help to better understand the pathogenesis of the disease and may provide important clues for developing future treatment methods and prevention strategies. This article reviews the mechanism of action of estrogen and androgen in regulating the pathogenesis of AIH by regulating T cells， in order to provide new ideas and directions for further exploring the potential role of sex hormones in the etiology of autoimmune diseases.

ObjectiveHepatocyte nuclear factor 4-alpha (HNF4A) is a critical transcription factor in the liver and pancreas. Dysfunctions of HNF4A lead to maturity onset diabetes of the young 1 (MODY1). Notably, MODY1 patients with HNF4A pathogenic mutations exhibit decreased responses to arginine and reduced plasma triglyceride levels, but the mechanisms remain unclear. This study aims to investigate the potential target genes transcriptionally regulated by HNF4A and explore its role in these metabolic pathways. MethodsA stable 293T cell line expressing the HNF1A reporter was overexpressed with HNF4A. RNA sequencing (RNA-seq) was performed to analyze transcriptional differences. Transcription factor binding site prediction was then conducted to identify HNF4A binding motifs in the promoter regions of relevant target genes. ResultsRNA-seq results revealed a significant upregulation of transmembrane 4 L six family member 5 (TM4SF5) mRNA in HNF4A-overexpressing cells. Transcription factor binding predictions suggested the presence of five potential HNF4A binding motifs in the TM4SF5 promoter. Finally, we confirmed that the DR1 site in the -57 to -48 region of the TM4SF5 promoter is the key binding motif for HNF4A. ConclusionThis study identified TM4SF5 as a target gene of HNF4A and determined the key binding motif involved in its regulation. Given the role of TM4SF5 as an arginine sensor in mTOR signaling activation and triglyceride secretion, which closely aligns with phenotypes observed in MODY1 patients, our findings provide novel insights into the possible mechanisms by which HNF4A regulates triglyceride secretion in the liver and arginine-stimulated insulin secretion in the pancreas.

ObjectiveBased on a new method for animal model evaluation， this study aims to analyze the characteristics of diseases and syndromes of existing animal models of attention deficit hyperactivity disorder （ADHD） from both traditional Chinese medicine （TCM） and western medical perspectives and propose suggestions for improvement. MethodsA systematic search of the China National Knowledge Infrastructure （CNKI） and PubMed was conducted for literature on ADHD animal models. According to TCM and western medical diagnostic criteria， core and accompanying symptoms of the models were assigned with scores to comprehensively evaluate the clinical consistency. ResultsThe selection of experimental animals for ADHD models primarily involved rodents， with modeling methods including genetic， chemical induction， and environmental induction. The average consistency of clinical diseases and syndromes with TCM and western medicine was 45.19% and 49.42%， respectively. The spontaneously hypertensive （SHR） rats and nicotine/smoking models had the highest consistency with TCM， while the social isolation models had the highest consistency with western medicine. Most models were guided by western medicine theories， which can meet the surface validity and structural validity requirements of western medicine but lacked precise differentiation of TCM syndromes. ConclusionExisting ADHD animal models primarily focus on a single genotype or environmental factor， lacking comprehensive consideration of multigenic interactions and environmental factors. Moreover， the selection of model evaluation indicators is relatively singular， primarily focusing on "disease" indicators， while TCM "syndrome" indicators have not been fully considered. It is recommended to introduce a "formula-to-syndrome" approach in the preparation of TCM models for ADHD and establish and improve an evaluation system of animal models combining diseases and syndromes， so as to provide a solid foundation for future experimental research.

Chinese medicinal materials serve as the material foundation of traditional Chinese medicine （TCM） culture. The sustainable development of Chinese medicinal material resources is a focal point in the modernization of TCM. With the increasing scarcity of Chinese medicinal material resources， the expansion of new Chinese medicinal material resources has become a crucial means for the sustainable utilization of these resources. New Chinese medicinal material resources refer to natural resources that have been newly discovered or developed， possessing potential medicinal value or healthcare functions， which fall outside the traditional application scope of herbal medicines. These resources have not yet been widely recognized or applied within the framework of traditional TCM theory. They specifically include artificial substitutes for endangered medicinal materials， new medicinal parts of medicinal plants， medicinal materials with expanded clinical applications， and foreign medicinal resources. The rational compatability and formulation of new Chinese medicinal material resources are essential pathways for integrating them into the TCM system. Due to the weak foundational research on new Chinese medicinal material resources in China， the characteristics of these resources that align with the TCM theory are not yet fully understood， posing numerous constraints on formulating prescriptions based on the traditional compatibility principles of TCM. This paper integrates the traditional formulation theory of TCM with modern data integration methods， proposing four formulation models for new TCM resources： synergistic compatibility， substitutive compatibility， symptom-based compatibility， and efficacy semantic compatibility. These models provide new insights for the application of new Chinese medicinal material resources， not only facilitating their rational use in clinical practice but also offering theoretical support for the development and compatibility research of these resources.

ObjectiveBased on a new method for animal model evaluation， this study aims to analyze the characteristics of diseases and syndromes of existing animal models of attention deficit hyperactivity disorder （ADHD） from both traditional Chinese medicine （TCM） and western medical perspectives and propose suggestions for improvement. MethodsA systematic search of the China National Knowledge Infrastructure （CNKI） and PubMed was conducted for literature on ADHD animal models. According to TCM and western medical diagnostic criteria， core and accompanying symptoms of the models were assigned with scores to comprehensively evaluate the clinical consistency. ResultsThe selection of experimental animals for ADHD models primarily involved rodents， with modeling methods including genetic， chemical induction， and environmental induction. The average consistency of clinical diseases and syndromes with TCM and western medicine was 45.19% and 49.42%， respectively. The spontaneously hypertensive （SHR） rats and nicotine/smoking models had the highest consistency with TCM， while the social isolation models had the highest consistency with western medicine. Most models were guided by western medicine theories， which can meet the surface validity and structural validity requirements of western medicine but lacked precise differentiation of TCM syndromes. ConclusionExisting ADHD animal models primarily focus on a single genotype or environmental factor， lacking comprehensive consideration of multigenic interactions and environmental factors. Moreover， the selection of model evaluation indicators is relatively singular， primarily focusing on "disease" indicators， while TCM "syndrome" indicators have not been fully considered. It is recommended to introduce a "formula-to-syndrome" approach in the preparation of TCM models for ADHD and establish and improve an evaluation system of animal models combining diseases and syndromes， so as to provide a solid foundation for future experimental research.

Chinese medicinal materials serve as the material foundation of traditional Chinese medicine （TCM） culture. The sustainable development of Chinese medicinal material resources is a focal point in the modernization of TCM. With the increasing scarcity of Chinese medicinal material resources， the expansion of new Chinese medicinal material resources has become a crucial means for the sustainable utilization of these resources. New Chinese medicinal material resources refer to natural resources that have been newly discovered or developed， possessing potential medicinal value or healthcare functions， which fall outside the traditional application scope of herbal medicines. These resources have not yet been widely recognized or applied within the framework of traditional TCM theory. They specifically include artificial substitutes for endangered medicinal materials， new medicinal parts of medicinal plants， medicinal materials with expanded clinical applications， and foreign medicinal resources. The rational compatability and formulation of new Chinese medicinal material resources are essential pathways for integrating them into the TCM system. Due to the weak foundational research on new Chinese medicinal material resources in China， the characteristics of these resources that align with the TCM theory are not yet fully understood， posing numerous constraints on formulating prescriptions based on the traditional compatibility principles of TCM. This paper integrates the traditional formulation theory of TCM with modern data integration methods， proposing four formulation models for new TCM resources： synergistic compatibility， substitutive compatibility， symptom-based compatibility， and efficacy semantic compatibility. These models provide new insights for the application of new Chinese medicinal material resources， not only facilitating their rational use in clinical practice but also offering theoretical support for the development and compatibility research of these resources.