ObjectiveThis study aims to systematically analyze the blood-absorbed components and metabolic profiles of Xiebaisan（XBS） in normal and chronic bronchitis （CB） mice using ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， while comparing differences between the two states. MethodsThirty female BABL/c mice were randomly divided into the normal group， the normal drug administration group， the CB group， the CB drug administration group and the dexamethasone group， with 6 mice in each group. The CB mouse model was established by inducing with ovalbumin （OVA）. The mice in the normal drug administration group and the CB drug administration group started to be gavaged with XBS（13.2 g·kg^-1） from the 21^st day， and the dexamethasone group mice were simultaneously gavaged with dexamethasone （0.5 mg·kg^-1） until the end of the 35^th day of the experiment. Subsequently， serum samples were collected and evaluated for their efficacy， based on the pharmacological evaluation indicators， to determine the efficacy of XBS in treating CB. Then the UPLC-Q-Exactive Orbitrap MS was employed to identify and analyze the chemical constituents， blood-absorbed components， and metabolites of XBS. Chemometric analysis was conducted to reveal metabolic profile differences under "dual states". Concurrently， Real-time PCR technology was utilized to detect the expression levels of key liver metabolic enzymes CYP2E1， CYP3A1， UGT1A1， and UGT1A6. ResultsA total of 28 prototype components and 158 metabolites （including 48 phase Ⅰ metabolites and 110 phase Ⅱ metabolites） of XBS were unambiguously identified in the serum of normal mice. Additionally， a comprehensive characterization was performed on a total of 32 prototype components and 178 metabolites （including 50 phase Ⅰ metabolites and 128 phase Ⅱ metabolites） of XBS in the serum of CB mice. Among them， 27 prototype components were detected in both states， including 12 flavonoids， 2 alkaloids， 3 triterpenes， 4 organic acids， 3 amides， 1 stilbene and 2 other compounds. The chemometrics analysis revealed no significant difference in the prototype components and metabolites of XBS between normal and CB mice； however， there was a significant increase in the in-vivo exposure of XBS in CB mice. Compared to normal mice， the levels of phase Ⅰ metabolites such as oxidation， reduction and methylation of blood components of XBS as well as phase Ⅱ metabolites of glucuronidation showed significant changes in CB mice. Real-time PCR further confirmed that these alterations were attributed to the upregulation of CYP2E1 （P<0.05）， CYP3A1 （P>0.05）， UGT1A1 （P<0.01） and UGT1A6 （P<0.01） enzymes expression in the liver of CB mice. ConclusionThis study elucidated the disparities in the levels of the blood-absorbed components and metabolic profiles of XBS in normal and CB mice， especially in oxidation， reduction， methylation in phase Ⅰ metabolism and glucoaldehyde acidification in phase Ⅱ metabolism. And there are related to the differences in the expression levels of phase Ⅰ and phase Ⅱ metabolic enzymes CYP2E1， CYP3A1， UGT1A1 and UGT1A6 in the liver.

Objective To investigate the impact of two different algorithms, AAA and AXB, on the dose distribution of postoperative radiotherapy for left-sided breast cancer after breast-conserving surgery. Methods A total of 96 target volumes from patients who underwent breast-conserving surgery for left-sided breast cancer were selected for dose verification using a two-dimensional matrix system. The planned dose distributions were simulated using both AAA and AXB algorithms. Dosimetric differences in organs at risk and the target volumes were then compared to identify the algorithm that could reduce the radiation dose to organs at risk without compromising the dose distribution to the target volume. Dose verification was performed on the plans generated by both algorithms, and the pass rates of plans for each target volume using both algorithms were compared to provide a quantitative basis for the precise selection of subsequent radiotherapy plans. Results Both AAA and AXB plans met the radiotherapy requirements. The AXB algorithm demonstrated significant advantages in the D₉₈, D₂, homogeneity index, and conformity index for the planning target volume, as well as in the V₅ and V₂₀ for the left lung. The AXB algorithm showed advantages in the V₃₀ for the heart and the maximum and mean doses for the skin. With the 2 mm/2% criterion in dose verification, the gamma pass rate was higher for the AXB algorithm. Conclusion Through a comparative analysis of the two algorithms, this study revealed that the AXB algorithm offers certain advantages in the dose distribution of radiotherapy after breast-conserving surgery for left-sided breast cancer. These findings provide an important reference for the rational selection of algorithms in clinical practice and are expected to improve radiotherapy efficacy and patient prognosis.

To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

Arsenic trioxide (ATO) serves as a component of traditional Chinese medicine and a modern anticancer agent, demonstrating remarkable efficacy in the long-term treatment of acute promyelocytic leukemia. With increasing research into its application in solid tumors, ATO's diverse mechanisms of action and potential clinical value have attracted widespread attention. ATO can inhibit tumor cell proliferation by inducing various forms of cell death, such as apoptosis, autophagy, pyroptosis, necroptosis, and ferroptosis, as well as by regulating cell differentiation. Moreover, its modulatory effects on the tumor immune microenvironment provide a new aspectto its antitumor activity. Nevertheless, the clinical application of ATO in solid tumors faces challenges such as low bioavailability, inadequate targeting, and adverse effects. The development of nanocarriers and targeted delivery systems has emerged asa key strategy for enhancing the therapeutic efficacy of ATO. This review systematically summarizes the multiple mechanisms of action of ATO in solid tumors and recent advances in nanodelivery technologies, explores the potential of ATO-based combination therapies, and discusses future directions, aiming to provide a theoretical foundation and practical guidance for the clinical application of ATO in solid tumors.

The application of immunosuppressants has significantly reduced the incidence rate of rejection reaction after liver transplantation， but the clinical efficacy of immunosuppressants is greatly affected by individual differences between patients. This article systematically reviews the recent research advances in the interaction between immunosuppressants and gut microbiota， with a focus on the regulatory role and mechanism of intestinal microflora communities on the efficacy of immunosuppressants. Studies have shown that intestinal microbiome is one of the key factors influencing the efficacy of immunosuppressive therapy after liver transplantation. This review aims to provide a theoretical basis for in-depth research in this field and provide new insights for developing individualized immunosuppressive treatment regimens based on the regulation of intestinal microflora.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

Infectious disease animal models serve as indispensable tools for understanding the transmission patterns,pathogenesis,and anti-infective medicine.During the preparation and application of infectious animal disease models,situations inevitably arise that violate animal welfare and ethics,such as animal pain,suffering,and distress.Considering the biosafety factors,animal mortality is still used as the experimental endpoint in most experiments on infectious animals,which poses extremely high requirements for animal welfare and ethics.It is imperative to establish guiding principles or norms for the welfare and ethics of infectious animal experiments.Based on the fundamental principles of the welfare and ethics of experimental animals,this paper explores the special welfare and ethical requirements in infectious animal experiments.It emphasizes that infectious animal experiments should fully consider the balance among the scientific objectives of the research plan,animal welfare and ethics,and occupational health and safety of personnel.Based on literature research and comparative analysis of the welfare and ethical requirements of conventional animal experiments,special welfare and ethics requirements for infectious animal experiments are proposed,including personnel requirements,experimental animal selection standards,living environment management and equipment,special care and veterinary care,and humane endpoints.Personnel are required to undergo effective biosafety training,and sufficient authority should be granted to the Institutional Animal Care and Use Committee(IACUC),veterinarians,and veterinary technicians to ensure the implementation of animal welfare and ethics practices.The selection of laboratory animals should fully consider the requirements of research objectives,welfare,ethics,and biosafety,with the susceptibility and body size of laboratory animals being the key concerns in high-level biosafety laboratories.It is also clarified that the humane endpoint is an indispensable element of welfare and ethics in infectious animal experiments.Environmental enrichment and special care are necessary guarantees for achieving animal welfare and ethics.Therefore,this study can serve as a reference for relevant work.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective:To construct a updating decision model of medical equipment based on multi-criteria,so as to provide scientific guidance for decision of management departments for medical equipment.Methods:To establish an evaluation index system for updating medical equipment,and evaluate the importance of expert,and transform weight language of expert index into intuitionistic fuzzy numbers,and use the Intuitionistic Fuzzy Weighted Average(IFWA)operator to aggregate qualitative indicators,and construct an initial decision matrix by integrating quantitative data,and apply the Tomadade Decis?o Iterativa Multicritério(TODIM)method to conduct prioritization for medical equipment that was waiting update.Four B-ultrasound equipment that were waiting for update in Peking University First Hospital from January 2023 to December 2023 were selected,and they were labeled respectively as A1,A2,A3 and A4 for priority ranking to conduct update.Results:The obtained comprehensive scores of A1,A2,A3 and A4 were respectively 0.617,0,0.714 and 1.000 through intuitionistic fuzzy theory and TODIM calculations.The priority ranking for updated equipment was ε(a4)＞ε(a3)＞ε(a1)＞ε(a2),indicating that medical equipment A4 was the highest-priority equipment for update.The result was consistent with actual operation that A4 equipment had been scrapped for disposal as scheme in April,2024.Conclusion:The model of updating decision for medical equipment on the basis of the intuitionistic fuzzy TODIM,can effectively avoid the subjectivity of medical institutes in updating equipment and solve the problem of multi-criteria decision-making in updating medical equipment.