OBJECTIVE To optimize the extraction process of Shenye buyi formula. METHODS Based on the quality by design （QbD） concept， the contents of rutin， nuciferine， sinapine thiocyanate， liquiritin，and glycyrrhizic acid ammonium salt， as well as the extract yield， were selected as the critical quality attributes （CQAs） for the extraction process of Shenye buyi formula. The fishbone diagram combined with the failure model and effect analysis method was adopted to determine the water addition， extraction time and extraction times as critical process parameters （CPPs）. High-performance liquid chromatography was employed to detect the contents of rutin， nuciferine， sinapine thiocyanate， liquiritin， and glycyrrhizic acid ammonium salt. The analytic hierarchy process-entropy weight method was used to comprehensively assign weights to the content of the five components including rutin and the extract yield. The Box-Behnken response surface method was employed to fit the mathematical model between CQAs and CPPs， screen the operational space of the extraction process， and validate it. RESULTS The optimal operational space of the extraction process was 9.5 to 12 times the amount of water added， the extraction time was 1 to 1.7 hours， and the extraction times were 3. Upon verification，the comprehensive scores of the optimal extraction process within the operational space were 89.79 and 84.93， respectively. CONCLUSIONS The extraction process of the Shenye buyi formula can be applied to the development and production of its granule preparations.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

ObjectiveTo analyze the epidemiological and etiological characteristics of hand-foot-and-mouth disease (HFMD) in Jinjiang District of Chengdu City from 2014 to 2024, and to provide a reference basis for HFMD prevention and control. MethodsA retrospective study was conducted to collect confirmed and clinically diagnosed cases of HFMD in Jinjiang District from January 1, 2014 to December 31, 2024. Descriptive epidemiological methods were used to analyze the distribution of cases by person, time, and place. Joinpoint regression models were applied to examine trends for incidence and severe case rates, while seasonal patterns were analyzed using the seasonal index method. Chi-square tests were used for comparing rates, Mann-Whitney U tests were applied for comparing two groups with skewed distributions, and Kruskal-Wallis H rank-sum tests were used for multiple groups with skewed distributions. Pathogen characteristics were primarily analyzed using descriptive statistics. ResultsA total of 15 561 HFMD cases were reported from 2014 to 2024. The annual crude incidence rate ranged from 51.32/100 000 to 502.50/100 000, the age-standardized incidence rate ranged from 55.56/100 000 to 721.07/100 000, peaking in 2018, and the overall epidemic intensity generally showed an alternating-year pattern of intensification. A total of 85 severe cases were reported, showing a declining trend in the severe case rate (APC=AAPC=-37.57%, 95%CI∶ -51.49%‒21.33%， P<0.01). Severe cases were most common in the 1‑year‑old age group (43.53%), with a median age of 1.88 years. Recurrent infections accounted for 1 245 cases (8.00%), with 96.73% of these being reinfections. The median age at first infection for recurrent cases was 1.98 years, significantly lower than that of single-infection cases (2.69 years, P<0.001), and the median interval between consecutive infections was 1.19 years. The disease exhibited a bimodal seasonal pattern, with epidemic peaks occurring from May to July and from October to December, however, summer peaks extending into autumn were observed in 2018 and 2023. There were statistically significant differences in age distribution across different years (H=467.51, P<0.001), with the median age increasing from 2.25 years in 2018 to 4.18 years in 2024, and the interquartile range widening from 1.84 to 3.78 years. Since its initial detection in 2017, CVA6 has been identified annually, showing a peak proportion of 87.50% in 2023 and a second peak of 68.18% in 2018. CVA10 was detected during 2021‒2023, peaking at 18.75% in 2021 and decreasing to 14.29% in 2022. Male incidence rates were consistently higher than female rates each year (P<0.05). The proportion of males in the reinfection group was significantly higher than that in the single-infection group (χ²=9.951, P=0.002). Pathogen analyses showed that CVA16 was detected annually, EV71 detection declined fluctuantly and was not detected after 2022. CVA6 was first detected in 2017 and rapidly increased in prevalence, reaching 87.50% in 2023 and becoming the dominant strain. Among severe cases, EV71 accounted for the highest proportion (52.63%), while CVA16 was most common in non-severe cases (41.60%). There was a statistically significant difference in pathogen composition between severe and non-severe cases (χ²=10.402,P=0.011). ConclusionThe epidemiological profile of HFMD undergoes continuous changes over time. It is necessary to strengthen routine surveillance, with particular attention to changes in the pathogen spectrum and age distribution, so as to provide evidence for precise prevention and control measures and the adjustment of vaccination strategies.

BACKGROUND:Meningeal lymphatic vessels can drain cerebral spinal fluid and amyloid β-protein,promoting T lymphocyte to transport and home to deep cervical lymph nodes.A simple,quick and definite method of dural separation and accurate localization of deep cervical lymph nodes can provide strong support for the study of neurodegenerative diseases.OBJECTIVE:To establish a convenient and practical method for exfoliating dural and deep cervical lymph nodes.METHODS:ICR mice,3 months old,were taken,anesthetized and injected with Evans blue and tracer in the occipital pool for localizing deep cervical lymph nodes.A midline incision of about 3 cm in length was made about 5 mm above the clavicle,the superficial fat and fascia were bluntly separated,and the lateral sternocleidomastoid muscle was pulled to expose the deep cervical lymph nodes,which were removed under a stereomicroscope and frozen at-80℃.Subsequently,the mouse head was cut and the skin and muscles of the head were separated to expose the entire skull structure.The skull and brain tissue were separated from the foramen magnum along the lower parietal bone with scissors,and the complete skull top was obtained.The skull was sequentially fixed in 40 g/L paraformaldehyde solution for 24 hours,120 g/L paraformaldehyde for 24 hours,and 120 g/L paraformaldehyde for 10,20,30,and 40 minutes,and the dural structure was stripped.The drainage capacity of meningeal lymphatic vessels and deep cervical lymphatic vessels was verified by tracer,and the meningeal lymphatic vessels were identified by the lymphatic vessel endothelial hyaluronan receptor 1 using the immunofluorescence method.RESULTS AND CONCLUSION:(1)Obvious blue staining was observed in deep cervical lymph nodes 15 minutes after Evans blue staining.(2)The skull was sampled and fixed in 120 g/L paraformaldehyde for 24 hours,resulting in a less tight connection between the dura mater and the skull,and easier stripping of the dural structures with an intact shape.The dura mater fixed at 120 g/L concentration was more resilient and remained more intact during peeling compared with the conventional 40 g/L concentration;120 g/L paraformaldehyde fixed meninges for a short time,and 30-40 minutes was preferred.(3)The frozen section of deep cervical lymph nodes showed the presence of the tracer,complete meningeal lymphatic vessels were visible in the dura mater,and the tracer was observed at the tail of lymphatic vessels.Immunofluorescence staining for endothelial hyaluronan receptor 1 was positive in the deep cervical lymph nodes and dural lymphatics.In summary,the best peeling concentration and time is 120 g/L paraformaldehyde fixed for 24 hours.At this concentration,the dura mater has a stretched morphology,a better toughness,and is more intact after peeling,which is conducive to later use.Verified by Evans blue,tracers and immunofluorescence,deep cervical lymph nodes are located accurately,which can be used as a basis for the study of various neurodegenerative diseases.

BACKGROUND:Studies have shown that immune cells are involved in all processes of ischemic stroke,in which cuproptosis also plays a key role.OBJECTIVE:To screen diagnostic biomarkers related to the progression of ischemic stroke through bioinformatics,and analyze and validate cuproptosis-related genes closely related to the occurrence and development of ischemic stroke.METHODS:The GSE16561 microarray was obtained from the GEO database,containing data from 39 cases of ischemic stroke(ischemic stroke group)and 24 controls(control group).Differentially expressed genes from the ischemic stroke microarray data were analyzed.Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed.By using LASSO and Random Forest methods,key genes affecting the occurrence and development of ischemic stroke were screened,and a diagnostic model was established and validated.Differential gene analysis was performed through immune cell infiltration and weighted gene co expression network.The differentially expressed immune-related genes were intersected with cuproptosis genes to obtain the hub genes related to cuproptosis immunity.In vitro cell experiments were conducted to divide rat hippocampal neurons into a normal group and an ischemic stroke group,and qPCR experiments were performed to verify the results.RESULTS AND CONCLUSION:(1)573 differentially expressed genes were obtained by differential analysis.Differentially expressed genes were mainly enriched in biological processes,such as positive regulation of immune response,and signaling pathways such as lipid and atherosclerosis.(2)Machine learning methods were used to screen diagnostic genes such as MFN2,PKM2,CREG1,and FOXO3A,which may have some diagnostic value for ischemic stroke.(3)Immune infiltration analysis revealed resting plasma cells,NK cells,macrophages,etc.,indicating that immune cells play a certain role in the pathogenesis of ischemic stroke.(4)Weighted gene co-expression network analysis combined with immune infiltration analysis obtained 118 key module genes,which were intersected with cuproptosis genes to obtain 2 cuproptosis and immune characteristic genes.The correlation analysis between four diagnostic genes and Hub genes showed that the expression of FOXO3A and MFN2,PKM2 and BCL2L1,MTF1 and MFN2,ATP7B and BCL2L1 were correlated.(5)The qPCR results showed significant differences in the genes MTF1 and ATP7B between the ischemic stroke group and the blank group.To conclude,ATP7B and MTF1 can serve as characteristic genes for cuproptosis in ischemic stroke.It is possible to improve ischemic stroke by intervening in ATP7B and MTF1 to regulate cuproptosis.

Objective:To establish a similarity measurement model for patients with dentofacial deformity based on 3D craniofacial features and to validate the similarity results with quantifying subjec-tive expert scoring.Methods:In the study,52 cases of patients with skeletal Class Ⅲ malocclusions who underwent bimaxillary surgery and preoperative orthodontic treatment at Peking University School and Hospital of Stomatology from January 2020 to December 2022,including 26 males and 26 females,were selected and divided into 2 groups by sex.One patient in each group was randomly selected as a reference sample,and the others were set as test samples.Three senior surgeons rated the similarity scores between the test samples and the reference sample.Similarity scores ranged from 1 to 10,where 1 was completely different,and 10 was exactly the same.Scores larger than 7.5 was considered as clinical-ly similar.Preoperative cone beam computed tomography(CBCT)and 3D facial images of the patients were collected.The three-dimensional hard and soft tissue features,including distances,angles and 3D point cloud features were extracted.The similarity measurement model was then established to fit with the experts'similarity scoring by feature selection algorithm and linear regression model.To verify the relia-bility of the model,14 new patients were selected and input to similarity measurement model for finding similar cases.The similarity scoring of these similar cases were rated by experts,and used to evaluate the reliability of the model.Results:The similarity metric models indicated that the features of the middle and lower craniofacial features were the main features to influence the craniofacial similarity.The main features that were related to the expert's similarity scoring included distance of anterior nasal spine-menton(ANS-Me),distance of right upper canion point-Frankfurt horizontal plane(U3RH),distance of left superior point of the condyle-left gonion(CoL-GoL),distance of left gonion-menton(CoL-Me),dis-tance of pogonion-midsagittal plane(Pog-MSP),distance of right alar base-left alar base(AlR-AlL),angle of pronasale-soft tissue pogonion-labrale inferius(Pn-Pog'-Li),distance of trichion-right tragus(Tri-TraR),distance of left exocanthion-left alar base(ExL-AlL),lower 1/3 of skeletal face,middle and lower 2/3 of skeletal face and upper lip region of soft tissue.Fourteen new patients were chosen to evaluate the model.The similar cases selected by the model had an average experts'similarity scoring of 7.627±0.711,which was not significantly different with 7.5.Conclusion:The similarity measurement model established by this model could find the similar cases which highly matched experts'subjective simi-larity scoring.The study could be further used for similar cases retrieval in skeletal Ⅲ malocclusion patients.

Objective:To investigate the impact of immunosuppressive therapy on the severity of SARS-CoV-2 infection and cytokine levels in pediatric patients with kidney diseases.Methods:A retrospective analysis was conducted on the clinical data of 40 hospitalized pediatric patients who were diagnosed with SARS-CoV-2 infection at the 900th Hospital of PLA Joint Logistic Support Force from December 2022 to February 2023. Based on their immunosuppressive status prior to SARS-CoV-2 infection, these patients were categorized into immunosuppressive group and non-immunosuppressive group. Independent sample t-tests, Mann-Whitney U tests, and χ2 test were employed to compare the clinical baseline characteristics and laboratory data, the severity of SARS-CoV-2 infection, and the levels of cytokines between the 2 groups. Results:Among the 40 patients, 11 were in the immunosuppressive group (aged 13 (8, 14) years, 9 males and 2 females) and 29 in the non-immunosuppressive group (aged 2 (1, 4) years, 15 males and 14 females). In the immunosuppressive group, 2 were asymptomatic cases, 8 were mild cases, and 1 was moderate case, and there was no severe or critical cases. In the non-immunosuppressive group, 8 were mild cases, 5 were moderate, 15 were severe cases, 1 was critical case, and no asymptomatic cases. The underlying diseases in the immunosuppressive group included nephrotic syndrome (6 cases), IgA vasculitis nephritis (2 cases), lupus nephritis (1 case), post-renal transplantation (1 case), and renal failure (1 case), with a mean total immunosuppression score (TIS) of (3.6±1.4) points. In the non-immunosuppressive group, 2 patients had a history of epilepsy, and the remaining 27 cases had no underlying conditions, all with TIS scores of 0. Compared to the children in the non-immunosuppressive group, those in the immunosuppressive group were more likely to exhibit asymptomatic or mild infection, with lower risks of severe disease, cytokine storm, fever, and cough, but a higher risk of fatigue ( OR=1.22, 2.66, 0.48, 0.12, 0.12, 0.13, 1.22; 95% CI 0.93-1.62, 0.99-7.15, 0.33-0.70, 0.03-0.57, 0.03-0.57, 0.03-0.65, 0.93-1.62; all P<0.05). The levels of cytokine IL-6, interferon-α and interferon-γ in the immunosuppressive group were all lower than those in the non-immunosuppressive group ( Z=2.23, 2.51, 2.92, respectively; all P<0.05). Conclusion:Pediatric patients with kidney diseases receiving appropriate immunosuppressive therapy may mitigate the severity of SARS-CoV-2 infection by suppressing the expression of cytokines.

Anaplastic lymphoma kinase (ALK) rearranged renal cell carcinoma (ALK-RCC) is an exceedingly rare malignancy, recently classified as a distinct molecular entity in the 5th edition of the WHO classification for urinary and male genital tumors. Due to its non-specific clinical symptoms and diverse histopathological patterns, accurate diagnosis is difficult. This paper reports a case of ALK-RCC with morphology and immunophenotype resembling papillary renal cell carcinoma. After second-generation sequencing, EML4-ALK gene fusion was found, and positive staining for ALK was confirmed by immunohistochemistry subsequently. Following informed consent from the patient, targeted therapy with crizotinib was initiated. During a 17-month follow-up period, no recurrence or metastasis was observed.

Objective To explore characteristics of patients with drug-induced liver injury(DILI),suspected drugs and outcomes,and to provide reference for clinical standard use of drugs and reduce adverse reactions of DILI.Methods Retrospective analysis of adverse drug reactions of 281 patients with DILI in Suzhou Hospital of Integrated Traditional Chinese and Western Medicine from 2016 to 2023.Age,sex,severity,clinical manifestations,clinical classification,Roussel Uclaf causality assessment method(RUCAM)score,injury degree,combination,disease type,suspected drugs and outcomes of patiengs were statistically analyzed.Results Among 281 patients with DILI,there were 83 general ADRs cases and 198 serious ADRs cases.In terms of clinical manifestations,main manifestations were yellow skin sclera,poor appetite,fatigue and so on.In terms of injury degree,156 cases suffered mild liver injury,121 cases suffered moderate liver injury,and 4 cases suffered severe liver injury.There were 164 cases of combined drug use and 117 cases of single drug use.The top diseases of patients were tumor,respiratory disease,tuberculosis infection and so on.Among the suspected drugs,the top three drugs were Chinese medicine,anti-tumor drugs and anti-tuberculosis drugs in order,and there were significant differences between different types of suspected drugs and whether they were used in combination(P＜0.05).There were significant differences in clinical classification and effectiveness(P＜0.05).Conclusion Chinese medicine,anti-tumor drugs and anti-tuberculosis drugs are relatively easy to cause DILI.The type of liver cell damage,combination of drugs,types of diseases,and underlying diseases all affect the occurrence of DILI.

BACKGROUND:Studies have shown that immune cells are involved in all processes of ischemic stroke,in which cuproptosis also plays a key role.OBJECTIVE:To screen diagnostic biomarkers related to the progression of ischemic stroke through bioinformatics,and analyze and validate cuproptosis-related genes closely related to the occurrence and development of ischemic stroke.METHODS:The GSE16561 microarray was obtained from the GEO database,containing data from 39 cases of ischemic stroke(ischemic stroke group)and 24 controls(control group).Differentially expressed genes from the ischemic stroke microarray data were analyzed.Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed.By using LASSO and Random Forest methods,key genes affecting the occurrence and development of ischemic stroke were screened,and a diagnostic model was established and validated.Differential gene analysis was performed through immune cell infiltration and weighted gene co expression network.The differentially expressed immune-related genes were intersected with cuproptosis genes to obtain the hub genes related to cuproptosis immunity.In vitro cell experiments were conducted to divide rat hippocampal neurons into a normal group and an ischemic stroke group,and qPCR experiments were performed to verify the results.RESULTS AND CONCLUSION:(1)573 differentially expressed genes were obtained by differential analysis.Differentially expressed genes were mainly enriched in biological processes,such as positive regulation of immune response,and signaling pathways such as lipid and atherosclerosis.(2)Machine learning methods were used to screen diagnostic genes such as MFN2,PKM2,CREG1,and FOXO3A,which may have some diagnostic value for ischemic stroke.(3)Immune infiltration analysis revealed resting plasma cells,NK cells,macrophages,etc.,indicating that immune cells play a certain role in the pathogenesis of ischemic stroke.(4)Weighted gene co-expression network analysis combined with immune infiltration analysis obtained 118 key module genes,which were intersected with cuproptosis genes to obtain 2 cuproptosis and immune characteristic genes.The correlation analysis between four diagnostic genes and Hub genes showed that the expression of FOXO3A and MFN2,PKM2 and BCL2L1,MTF1 and MFN2,ATP7B and BCL2L1 were correlated.(5)The qPCR results showed significant differences in the genes MTF1 and ATP7B between the ischemic stroke group and the blank group.To conclude,ATP7B and MTF1 can serve as characteristic genes for cuproptosis in ischemic stroke.It is possible to improve ischemic stroke by intervening in ATP7B and MTF1 to regulate cuproptosis.