To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

[Objective] To explore the clinical significance and application value of establishing a database for red blood cell alloantibody detection. [Methods] Patients who were scheduled for blood transfusion in our hospital from January 1, 2020 to May 1, 2024 were selected as the research subjects. A red blood cell alloantibody detection database was established using Microsoft Office Excel software to register the detection data of patients' alloantibodies and antibodies of undetermined specificity (AUS). A retrospective analysis was conducted on the clinical characteristics, antibody distribution, antibody decay and repeat positivity of the patients in the database. The LISS-IAT method was routinely used for antibody screening and identification. [Results] Among the alloantibodies, the Rh blood group system had the highest detection rate, followed by antibodies of the MNS blood group system and the Lewis blood group system. The predominant antibody in the Rh blood group system was anti-E. In the univariate analysis, the positivity of antibody was significantly associated with the patient's gender, age, blood transfusion history, pregnancy history and type of disease (all P<0.001). In the database, 48 patients experienced antibody decay, accounting for 15.24%(48/315), with an average time span of antibody decay ranging from 22 to 1 324 days. Six cases showed repeat positivity after decay, which were related to blood transfusions. The shortest interval between blood transfusions that led to antibody repeat positivity was 3 days, and the longest interval was 427 days. Among 58 cases with AUS, 3 converted into alloantibodies, among which 2 were anti-E and 1 was anti-Lea. [Conclusion] Establishing a red blood cell alloantibody detection database is an effective way to guide ambiguous cross-matching in clinical practice and is also an effective measure for the management of transfusion risks.

ObjectiveTo investigate the epidemiological feature of Mpox infection and genetic characteristics of Mpox viruses (MPXVs), so as to understand the etiological evolution of the pathogen. MethodsThe cases infected with MPXVs were originated from Changning District, Shanghai from July 20 to August 24 in 2023. Epidemiological investigations were conducted, and throat swabs, anal swabs, or vesicle fluid were collected for MPXVs nucleic acid testing. High-throughput sequencing was performed using Miniseq of the Illumina sequencing platform, and thereafter the sequences were concatenated and analyzed using the online analysis tool Nextclade. An evolutionary tree was constructed using the MEGA 11 software. ResultsAll 8 cases were male, with an average age of (35.76±7.00) years. Among them, 6 cases were identified through active hospital visits, and 2 cases were discovered during contact tracing for Mpox cases. Within the 21 days preceding the disease onset, all cases had male-male sexual behaviors, and the incubation period ranged from 6 to 10 days. 3 cases had a history of sexually transmitted diseases (STDs). MPXVs nucleic acid testing indicated that the detection rate of MPXVs was found to be 25.00% for throat swabs, 87.50% for anal swabs, and 100.00% for vesicle fluid, with statistically significant differences (χ²=11.052, P=0.004). Sequencing analyses using the online tool Nextclade indicated that all 8 MPXVs belonged to the West African clade Ⅱb, 4 MPXVs were classified as C.1 sub-lineages, and 4 MPXVs were identified as C.1.1 sub-lineages. Phylogenetic analysis using MEGA 11 indicated that 5 MPXVs were classified as Lineage C.1.1, closely related to the prevalent strains in Portugal and other European regions. ConclusionThe MPXVs sequences from Changning District are clssified into clade Ⅱb, lineage C.1.1. The detection rates of vesicle fluid and anal swabs for MPXVs are significantly higher than that of throat swabs.

Objective:To establish a quality control method for Aiye standard decoction.Methods:The ultra performance liquid chromatogrphy (UPLC) column Waters ACQUITY HSS T3 C18 (2.1 mm×150 mm,1.8 μm) was used to gradient elution by acetonitrile and 0.1% formic acid in water. 16 batches of Aiye standard decoction fingerprints were established by UPLC and the common peaks were determined in the fingerprints. The contents of 12 components were determined. The 16 batches of Aiye standard decoction were analyzed by similarity calculation, hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) for analysis of differential components of Artemisiae Argyi Folium from different origins.Results:A total of 13 common peaks were marked in the fingerprints of 16 batches of Aiye standard decoction, 12 of which were identified by comparison with reference substance, including chlorogenic acid, sochlorogenic acid A, neochlorogenic acid, cryptochlorogenic acid, caffeic acid,1,3-O-Dicaffeoylquinic acid, schaftoside, isochlorogenic acid B,1,5-O-Dicaffeoylquinic acid, isochlorogenic acid C, jaceosidin and eupatilin. Similarity evaluation, PCA and HCA all classified the 16 batches of Aiye standard decoction into 2 categories. Orthogonal partial least squares discriminant analysis screened 5 differential biomarkers from 13 common peaks. The content determination results showed that the phenolic compounds and flavonoids in samples from Hubei were significantly higher than that in samples from other areas.Conclusion:This method can effectively analyze the differences in the quality of Aiye standard decoction from different origins, and provide reference for the formulation of quality standards for Aiye standard decoction and related preparations.

Objective:To establish a method for the determination of triterpenes and nucleosides in Poria based on HPLC; To accurately determine the various bioactive components in Poria.Methods:Similarity evaluation, clustering analysis and principal component analysis were used to analyze the similarities and differences of different medicinal parts of Poria, and the key chromatographic peaks that could reflect the characteristics were found.Results:The Poricoic acid A and dehydroeburiconic acid could be used as the identification basis for Poriae Cutis and White Poria; at the same time, Polyporenic acid C, dehydropachymic acid and dehydrotrametenolic acid could be used to evaluate Rubra Poria and Poriae Cutis; uridine, guanosine and adenosine may be essential ingredients for evaluating the quality of White Poria, Poriae Cutis and Rubra Poria. In different medicinal parts of Poria, the triterpenes were showed significant differences; by contrary, there were little differences among the same medicinal parts.Conclusion:This study reveals the quality differences between different medicinal parts of Poria, which can provide a scientific basis for the rational application and pharmacodynamic standardization of Poria.

ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

To analyze the effect of diagnosis related group(DRG) reform in 2022 and its impact on patients in different departments, and create a policy environment that promotes the implementation of DRG.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.

Objective:To investigate the distribution characteristics of body height, body weight and body mass index (BMI) in children aged 3-17 years in China.Methods:Data were obtained from the National Nutrition and Health Systematic Survey in 0-18 years old children in China. The study selected 70 853 children aged 3-17 years from 28 urban and rural survey sites in 14 provinces (autonomous regions and municipalities) in 7 regions of China with multi-stage stratified cluster random sampling. M ( Q1, Q3) was used to describe the region, age and gender specific body height, body weight and BMI in the children aged 3-17 years. Wilcoxon rank sum test was used to compare the body height, body weight, and BMI between boys and girls in same age group. Kruskal-Wallis H rank sum test was used to compare the body height, body weight and BMI among boys in different age groups and among girls in different age groups, as well as among boys in same age group and among girls in same age group from different regions, and DSCF method was used for further pairwise comparisons. Results:In this study, the median body height and body weight were 172.0 cm and 62.9 kg in 17-year-old boys and 160.0 cm and 53.7 kg in 17-year-old girls. The median for children's body height, body weight, and BMI in most age groups were higher in northeastern and northern China than in southern China, and the differences could be observed until age 17 years. The differences in body weight and BMI in children in northeastern and northern China were greater in Q3 than in Q1 compared with southern China. Conclusions:The body height of children aged 3-17 years continues to increase in China. Northeastern and northern China have more children with higher bodyweight, showing an obvious body weight increase trend, to which close attention needs to be paid.