BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Objective To analyze the clinical and therapeutic characteristics of Epstein-Barr virus (EBV)-negative posttransplant lymphoproliferative disease (PTLD) with diffuse large B-cell lymphoma (DLBCL) in the context of specific cases and literature. Methods A case of EBV-negative DLBCL (GCB type) after kidney transplantation is reported. The patient was a 45-year-old male who underwent living-related kidney transplantation in 2016 and has been receiving triple immunosuppressive therapy with tacrolimus, mycophenolate mofetil and methylprednisolone since then. In 2024, the patient presented with intermittent fever, night sweats and gastrointestinal symptoms. The diagnosis was confirmed by endoscopic pathology, immunohistochemical staining and positron emission tomography/computed tomography. The R-CDOP regimen (rituximab + cyclophosphamide + liposomal doxorubicin + vincristine + dexamethasone) was used for treatment. Results The patient was diagnosed with EBV-negative DLBCL (GCB type, Ann Arbor stage Ⅳ B). After 4 cycles of R-CDOP chemotherapy, the efficacy assessment was partial remission, and the transplant kidney function remained stable. Conclusions For EBV-negative PTLD after kidney transplantation, it is necessary to break through the "virus-dependent" diagnostic thinking. In clinical practice, the focus should be on protecting the transplant kidney, and individualized treatment plans should be developed for patients.

Traditional Chinese medicine （TCM） diagnostics is a discipline that studies the basic theories and fundamental skills of diagnostic methods， disease diagnosis， and differentiation in accordance with the theories of TCM. The artificial intelligence （AI） technology has gained remarkable achievements in the intelligentization of the four diagnostic methods in TCM and the standardization of differentiation and diagnosis. However， it still faces many challenges. The standardization of clinical data collection is difficult， and the data quality is uneven， which affects the usability of the data. The integration of the four diagnostic information is insufficient. Most instruments can only collect data from a single diagnostic method， lacking overall integrity. The scientific nature of the diagnostic model needs to be improved. The existing models lack dynamics and the reasoning logic of TCM differentiation. The accuracy of intelligent methods needs to be improved， and the existing evaluation indicators cannot fully reflect the practical application effect of the model. Furthermore， the relevant laws and regulations are still not perfect， and data security and patient privacy lack guarantees. The cultivation of compound talents is insufficient， and there is a lack of interdisciplinary talents who are proficient in both TCM and AI. On this basis， this paper expounded on the current development status， difficulties， and bottlenecks of AI in TCM diagnosis and then explored the development trend of AI in the field of TCM diagnosis. It proposed solutions such as optimizing the data collection process， constructing multimodal diagnostic models， facilitating multi-disciplinary exchanges and cooperation， improving laws and regulations， and cultivating compound talents. It is hoped that modern， standardized， normalized， and intelligent TCM diagnosis can be further promoted， thereby providing new impetus and methods for the inheritance and innovation of TCM.

Objective To compare the clinical characteristics of pneumococcal meningitis in different age groups, and to provide a basis for early diagnosis of pneumococcal meningitis. Methods Cerebrospinal fluid and/or serum samples were collected from 1742 suspected cases of meningitis in Baoji, Shaanxi Province from August 2013 to July 2019. Streptococcus pneumoniae was detected by isolation culture and real-time fluorescence quantitative polymerase chain reaction. Retrospective analysis of clinical manifestations, biochemical indicators and other information of laboratory confirmed cases was conducted by χ² test or Fisher's exact test. Results A total of 1742 samples of encephalitis or meningitis cases were detected, and 41 cases were confirmed as laboratory-confirmed Streptococcus pneumoniae infection. Among them, there were 12 cases (29.27%) in the infant group, 14 cases (34.15%) in the child group, and 15 cases (36.59%) in the adult group. The proportion of the adults with headache was significantly higher than that of the infants (χ²=11.408，P＜0.017). The proportion of the adults with consciousness disorder, elevated white blood cells and elevated neutrophils were significantly higher than those in the infant and the child groups（Fisher's exact test, P＜0.017；χ² =6.428，P＜0.017；χ² =10.898，P＜0.017；χ² =6.421，P＜0.017；χ² =9.758，P＜0.017；χ² =7.744，P＜0.017). The proportion of the infants with cerebrospinal fluid turbidity was significantly higher than that of the children (Fisher's exact test，P＜0.017). The proportion of the infants with decreased white blood cells and reduced glucose in cerebrospinal fluid was significantly higher than that of the children group and the adult group（Fisher's exact test, P＜0.001；Fisher's exact test, P＜0.001；Fisher's exact test, P＜0.017; Fisher's exact test, P＜0.017). Conclusion Most adult patients with pneumococcal meningitis have headache and consciousness disorders, with significantly increased proportion of white blood cells and neutrophils. Infant patients tend to have cloudy appearance of cerebrospinal fluid, leukopenia in blood, and decreased glucose in cerebrospinal fluid.

BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged course and a high mortality rate， posing a serious threat to human health and life. According to physician Sun Yikui's theory of "Mingmen Dongqi" （dynamic Qi of life gate） in the Ming Dynasty and the modern medicine concept of mitochondrial quality control （MQC）， this paper systematically explores the pathogenic mechanisms and evolutionary patterns of CHF， as well as its intrinsic connection with microstructural homeostasis， and further proposes potential traditional Chinese medicine （TCM） intervention strategies. CHF is often caused by damage to the heart Qi at the early stage. As the disease progresses， prolonged illness affects the kidneys， leading to the dynamic Qi decline of life gate. Further， it results in the failure of the functions of sustaining and consolidating， causing the disintegration of the physical form， which corresponds to mitochondrial kinetic disorders. The deficiency in primary driving force results in impaired Qi transformation， corresponding to mitochondrial autophagy dysfunction， forming a pathological transmission chain of "life gate-mitochondrion" that ultimately leads to myocardial structural disintegration and energy metabolism failure. Modern research indicates that patients with CHF exhibit significant MQC imbalance. Disrupted mitochondrial dynamics lead to network fragmentation， and impaired autophagy causes metabolic blockage， constituting the key microscopic mechanisms underlying ventricular remodeling and pump failure. Chinese herbal medicines， such as those with the effects of warming and tonifying kidney Yang or reinforcing healthy Qi， can intervene in multiple signaling pathways-including PTEN-inducible kinase 1 （PINK1）/Parkin and AMP-activated protein kinase/dynamin-related protein 1 （AMPK/Drp1）-to regulate mitochondrial dynamics and autophagy activity. This repairs damaged MQC networks and improves the microenvironment of myocardial energy metabolism. These intervention strategies align closely with the TCM therapeutic principles of warming and tonifying life gate， replenishing Qi， and activating blood， demonstrating the advantages of holistic regulation based on kidney-centered treatment and mitochondrial-targeted approaches. By integrating the "Mingmen Dongqi" theory with the MQC mechanism， this paper establishes a theoretical framework for the integrated prevention and treatment of CHF， offering new perspectives and insights for clinical practice and future research.

Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged course and a high mortality rate， posing a serious threat to human health and life. According to physician Sun Yikui's theory of "Mingmen Dongqi" （dynamic Qi of life gate） in the Ming Dynasty and the modern medicine concept of mitochondrial quality control （MQC）， this paper systematically explores the pathogenic mechanisms and evolutionary patterns of CHF， as well as its intrinsic connection with microstructural homeostasis， and further proposes potential traditional Chinese medicine （TCM） intervention strategies. CHF is often caused by damage to the heart Qi at the early stage. As the disease progresses， prolonged illness affects the kidneys， leading to the dynamic Qi decline of life gate. Further， it results in the failure of the functions of sustaining and consolidating， causing the disintegration of the physical form， which corresponds to mitochondrial kinetic disorders. The deficiency in primary driving force results in impaired Qi transformation， corresponding to mitochondrial autophagy dysfunction， forming a pathological transmission chain of "life gate-mitochondrion" that ultimately leads to myocardial structural disintegration and energy metabolism failure. Modern research indicates that patients with CHF exhibit significant MQC imbalance. Disrupted mitochondrial dynamics lead to network fragmentation， and impaired autophagy causes metabolic blockage， constituting the key microscopic mechanisms underlying ventricular remodeling and pump failure. Chinese herbal medicines， such as those with the effects of warming and tonifying kidney Yang or reinforcing healthy Qi， can intervene in multiple signaling pathways-including PTEN-inducible kinase 1 （PINK1）/Parkin and AMP-activated protein kinase/dynamin-related protein 1 （AMPK/Drp1）-to regulate mitochondrial dynamics and autophagy activity. This repairs damaged MQC networks and improves the microenvironment of myocardial energy metabolism. These intervention strategies align closely with the TCM therapeutic principles of warming and tonifying life gate， replenishing Qi， and activating blood， demonstrating the advantages of holistic regulation based on kidney-centered treatment and mitochondrial-targeted approaches. By integrating the "Mingmen Dongqi" theory with the MQC mechanism， this paper establishes a theoretical framework for the integrated prevention and treatment of CHF， offering new perspectives and insights for clinical practice and future research.

Objective: To investigate the knowledge and behaviors related to hepatitis B prevention and control among carriers of hepatitis B surface antigen (HBsAg), so as to provide the basis for conducting health education and interventions for HBsAg carriers. Methods: Based on the seroepidemiological survey of hepatitis B among individuals aged 1 to 69 years in Shaanxi Province, HBsAg carriers were selected as the study subjects. Basic information, knowledge and behaviors about hepatitis B prevention and control were collected through questionnaire surveys. The awareness of hepatitis B prevention and control knowledge and related behaviors among HBsAg carriers were analyzed. Results: A total of 107 HBsAg carriers were enrolled, including 52 males (48.60%) and 55 females (51.40%), and had a median age of 47.04 (interquartile range, 19.78) years. The awareness of hepatitis B prevention and control knowledge ranged from 56.07% to 87.85% among HBsAg carriers, with the highest awareness for "hepatitis B vaccination can effectively prevent hepatitis B "(87.85%), and the lowest awareness for "sharing meals with HBsAg carriers or hepatitis B patients will not lead to infection" (56.07%) and "hepatitis B can be treated with antiviral drugs" (61.68%). The proportions of those who did not seek medical consultation, undergo regular check-ups, or receive treatment were relatively high, at 65.42%, 72.90% and 77.57%, respectively. Conclusions The awareness of hepatitis B transmission routes and treatment-related knowledge among HBsAg carriers is relatively low, and their medical-seeking behaviors are relatively passive. There is a need to enhance the dissemination of hepatitis B prevention and control knowledge, improve medical-seeking behaviors, and reduce the risk of hepatitis B virus transmission.

ObjectiveTo understand the current status of Cronobacter sakazakii (Cronobacter spp.) infection and its molecular epidemiological characteristics among patients with diarrhea, so as to provide evidence for the prevention and control of diarrhea disease caused by infection with Cronobacter spp. in Changping District, Beijing. Methods760 stool samples were collected from the diarrhea patients in a sentinel hospital in 2019, for the detection of Cronobacter spp., Salmonella, diarrheogenic Escherichia coli (DEC), and Vibrio Parahaemolyticus. Meanwhile, drug sensitivity experiment and pulsed-field gel electrophoresis (PFGE) typing analysis were conducted on the Cronobacter spp. strains isolated. ResultsA total of 20 Cronobacter spp. strains (2.63%) were isolated, with a lower detection rate than that of Salmonella and Vibrio Parahaemolyticus (χ²=9.052, P=0.011). However, there were no statistically significant differences between the detection rates in Cronobacter spp. and DEC (χ²=1.076, P=0.300). Seasonal characterization analysis showed that Cronobacter spp. could be detected in spring (1.00%), summer (4.17%), autumn (3.00%) and winter (1.67%), and the differences were statistically significant (χ²=662.700, P<0.001). The PFGE analysis showed that 20 PFGE banding patterns were found in 20 Cronobacter spp. strains, with a similarity coefficient ranging from 56.30% to 90.09% and a diverse PFGE banding pattern. The drug sensitivity experiment results showed that 18 (90.00%) strains were resistant to cefazolin, and2 (10.00%) strains were intermediate. While, as for cefoxitin, 2 (10.00%) strains were resistant to it, and 5 (25.00%) strains were intermediate. All the 20 strains were 100.00% sensitive to the other 11 antibiotics. ConclusionIn the study, Cronobacter spp. is detected in all seasons through the year, with a high resistance rate to cefazolin, no multi-drug resistant bacteria appeared, and diverse PFGE banding patterns.