Background: Xiaochaihu capsules are a widely used traditional Chinese patent medicine. The extraction process, a critical step in their production, necessitates online monitoring to determine the levels of key indicators, thereby informing subsequent processing stages. Objective: The objective of this study was to establish online quantitative models for 6 key indicators (solid content, liquiritin, baicalin, wogonoside, glycyrrhizic acid, and saikosaponin B ) during the extraction process of Xiaochaihu capsules. This approach aims to provide a technical foundation for enhanced process control and to serve as a methodological reference for the application of multisource information fusion in monitoring the extraction of multi-herb traditional Chinese medicine formulations. Methods: Online quantitative models were developed based on multiple sensors, ultraviolet-visible spectroscopy (UV-Vis), and near-infrared spectroscopy (NIR) to monitor 6 indicators during the extraction process of Xiaochaihu capsules. Different preprocessing methods for spectroscopic data were optimized, and data fusion strategies were integrated to improve the predictive performance of the online quantitative models. Results: The optimal modeling strategies for the 6 indicators were as follows: for solid content, a second-order polynomial model was established using the measurement results from 2 sensors (pH and conductivity), with a predictive coefficient of determination (R ) of 0.9821. For baicalin, the optimal model was developed using UV-Vis spectra pretreated with the first derivative (1stD), achieving a predictive R of 0.9841. For wogonoside, modeling was also conducted after 1stD preprocessing of the UV-Vis spectra, yielding a predictive R of 0.9929. For liquiritin, a high-level fusion strategy combining UV-based feature extraction via the random frog (RF) algorithm and NIR-based feature extraction via competitive adaptive reweighted sampling (CARS) was used, achieving an R of 0.9406 in the validation set. For glycyrrhizic acid, the optimal approach involved a combination of UV-CARS feature extraction and NIR-RF feature extraction, coupled with high-level data fusion, resulting in an R of 0.9859 in the validation set. For saikosaponin B , the optimal scheme utilized UV-RF feature extraction combined with NIR-CARS feature extraction and high-level fusion (R = 0.7702 in the validation set). Conclusion: The integration of process analytical technologies and data fusion strategies enabled the successful establishment of online quantitative models for 6 indicators during the extraction process of Xiaochaihu capsules. Overall, the established online quantitative models effectively captured and reflected the dynamic changes of these indicators throughout the extraction process.

Objective To explore the optimization and effect analysis method of rational drug use pre-prescription review rule base for traditional Chinese medicine(TCM).Methods The rules for the modules including indications,dosage range,incompatibility,administration route and repeated drug use of TCM decoction pieces and Chinese patent medicine were set to improve pre-prescription review rule base.The prescription rationality rate and intervention effectiveness rate to evaluate effect by χ2 test before and after the system optimization.Results After the optimization of pre-prescription review rule base for TCM,the rate of prescription rationality of the hospital increased from approximately 78.19%to 94.50%,and the rate of intervention effectiveness increased from approximately 82.80%to 97.15%.There were statistically significant differences in prescription rationality and intervention effectiveness rate between pre-and post-optimization groups(P＜0.05).Conclusion According to the current pre-prescription status of the hospital,optimizing pre-prescription review rules of TCM can improve the applicability of the review system for TCM prescriptions,and enhance the pre-prescription accuracy and the level of rational medication.However,rules optimization on other modules still needs to be further improved.

Objective:To explore the clinical distribution characteristics and changes of common inhalant allergens and food allergens in all outpatient and inpatient children visiting Shanghai Children′s Hospital from 2020 to 2024, and to provide a basis for the diagnosis, treatment and prevention of allergic diseases in children.Methods:A retrospective cohort study was conducted to retrospectively enroll all outpatient and inpatient children who visited Shanghai Children′s Hospital and underwent serum allergen-specific IgE (sIgE) antibody testing from January 2020 to August 2024, and the characteristics and changing trends of allergens in the past 5 years were analyzed. A total of 127 310 tests were included. There were 76 776 male tests (60.31%) and 50 534 female tests (39.69%). There were 27 392 tests (21.52%) aged 0-3 years (infant group), 51 596 tests (40.53%) aged 4-6 years (preschool group), 44 574 tests (35.01%) aged 7-12 years (school-age group), and 3 748 tests (2.94%) aged 13-18 years (adolescent group). The χ2 test was used for statistical analysis. Results:The difference in total positivity rate between different years was statistically significant ( χ2=2 907.478, P<0.001). The positive rates of inhalant allergens such as house dust, Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cockroach, cat dander, mugwort, Humulus scandens, mold fungi mix, and food allergens such as beef and mutton increased significantly with age (The χ2 values were 649.496, 3 414.686, 303.247, 1 277.408, 40.477, 189.952, 600.737, 203.198, and 15.301, respectively, and the P values were <0.001, <0.001, <0.001, <0.001, <0.001, <0.001,<0.001,<0.001, and 0.002, respectively). The positive rates of inhalant allergen such as Ambrosia elatior (1.59%) and food allergens such as egg white (17.36%), milk (30.48%), shrimp (8.27%), crab (8.13%), codfish (2.61%), salmon (0.66%), mytilus edulis (2.89%), lobster/scallop (5.27%), cashew nuts (5.09%), peanuts (3.54%), and soybean (1.73%) were highest at the age of 0-3 years and decreased significantly with age (The χ2 values were 10.365, 2 407.443, 139.085, 872.548, 870.245, 106.823, 47.674, 47.244, 559.422, 369.800, 384.788, 153.660, respectively, and the P values were 0.016, 0.000,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001, respectively). Inhaled allergens mainly have a greater impact on children with respiratory-related diseases such as allergic rhinitis and asthma, while food allergens mainly have a greater impact on children with atopic dermatitis/eczema. The positive rate of sIgE of various allergens in the allergic rhinitis combined asthma group were higher than that of allergic rhinitis alone, and the sIgE positive rate of total allergens and inhaled allergens was significantly higher than that of allergic rhinitis alone ( χ2=20.851, 39.155, the P values were both<0.001). Among them, the sIgE positive rate of Ambrosia elatior and cashew nuts showed significant difference ( χ2=5.044, 8.420, P=0.025, 0.004); and the sIgE positive rate of Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cat dander, grass pollens mix and mold fungi mix had extremely significant difference ( χ2=26.409, 25.990, 21.283, 16.411, the P values were all <0.001). The inhaled allergens and food allergens with the highest positive rates in the 5 years were Dermatophagoides pteronyssinus/ Dermatophagoides farinae (56.21%) and milk (47.47%), and as time went by, the positive rates gradually decreased. There is a moderate correlation between the three allergens of Ambrosia elatior, Amaranthus retroflexus, and tree pollens mix (0.55, 0.70, 0.63), and there is a moderate correlation between mango and tree pollens mix (0.50). Conclusion:Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cat dander, dog dander, egg white, and milk may be important allergens for children in Shanghai City from 2020 to 2024. The positive rates vary among different genders, age groups, and disease groups, but the positive rates of Dermatophagoides pteronyssinus/ Dermatophagoides farinae, milk and cat dander allergens remain in the top three.

Background and Aims:Chronic skin ulcers are a significant disease affecting patients'daily lives and psychological well-being.Abnormalities in the cells and extracellular matrix within the tissue may disrupt the balance of the microenvironment,hindering the normal skin repair process and leading to delayed healing of the ulcer.There is currently a lack of research on the mechanisms underlying the development of chronic ulcers and their diagnostic biomarkers.Single-cell sequencing,a newly developed high-throughput sequencing method in recent years,uses gene sequencing at the single-cell resolution to precisely reveal disease mechanisms and has been applied in various diseases.This study used single-cell transcriptome sequencing(scRNA-Seq)to investigate the cellular heterogeneity in chronic skin ulcer tissue to elucidate the potential molecular mechanisms behind delayed healing and provide new insights for clinical treatment.Methods:The scRNA-Seq technology was used to compare the differences in cell subpopulations and gene expression between chronic ulcer tissue and normal skin tissue.Single cells were sorted using a microfluidic platform,and cDNA libraries were constructed for subsequent differential gene analysis and functional enrichment analysis.Results:scRNA-Seq analysis revealed significant immune-metabolic remodeling features in chronic ulcer tissue:the number of B cells,monocytes,and macrophages in ulcer tissue increased by 2.1 to 3.5 times compared to the normal tissue control.This was accompanied by widespread activation of collagen synthesis genes(COL1A1/COL3A1)and synergistic suppression of immune regulators(e.g.,granzyme family GZMA/GZMB/H).Cross-cell subpopulation functional network analysis showed that hypoxia response mediated by the HIF-1 signaling pathway and PI3K/Akt pathway abnormalities formed a positive feedback loop,exacerbating the imbalance in the secretion of inflammatory factors(CXCL3/8,TGFBI)and compensatory upregulation of mitochondrial oxidative phosphorylation.Conclusion:Chronic skin ulcers exhibit significant differences in cellular heterogeneity and gene expression,suggesting that chronic ulcers are not simply tissue defects but a complex pathological process dominated by chronic inflammation and immune dysregulation.The coordinated dysregulation of multiple cell subpopulations in the ulcer microenvironment,along with persistent inflammatory responses and metabolic abnormalities,is interconnected through the HIF-1/TNF/MAPK pathway network.Downregulation of granzyme gene family members and abnormal histone modifications may contribute to immune clearance defects,providing a theoretical basis for developing novel therapies targeting epigenetic regulation or mitochondrial function.

Background and Aims:Chronic skin ulcers are a significant disease affecting patients'daily lives and psychological well-being.Abnormalities in the cells and extracellular matrix within the tissue may disrupt the balance of the microenvironment,hindering the normal skin repair process and leading to delayed healing of the ulcer.There is currently a lack of research on the mechanisms underlying the development of chronic ulcers and their diagnostic biomarkers.Single-cell sequencing,a newly developed high-throughput sequencing method in recent years,uses gene sequencing at the single-cell resolution to precisely reveal disease mechanisms and has been applied in various diseases.This study used single-cell transcriptome sequencing(scRNA-Seq)to investigate the cellular heterogeneity in chronic skin ulcer tissue to elucidate the potential molecular mechanisms behind delayed healing and provide new insights for clinical treatment.Methods:The scRNA-Seq technology was used to compare the differences in cell subpopulations and gene expression between chronic ulcer tissue and normal skin tissue.Single cells were sorted using a microfluidic platform,and cDNA libraries were constructed for subsequent differential gene analysis and functional enrichment analysis.Results:scRNA-Seq analysis revealed significant immune-metabolic remodeling features in chronic ulcer tissue:the number of B cells,monocytes,and macrophages in ulcer tissue increased by 2.1 to 3.5 times compared to the normal tissue control.This was accompanied by widespread activation of collagen synthesis genes(COL1A1/COL3A1)and synergistic suppression of immune regulators(e.g.,granzyme family GZMA/GZMB/H).Cross-cell subpopulation functional network analysis showed that hypoxia response mediated by the HIF-1 signaling pathway and PI3K/Akt pathway abnormalities formed a positive feedback loop,exacerbating the imbalance in the secretion of inflammatory factors(CXCL3/8,TGFBI)and compensatory upregulation of mitochondrial oxidative phosphorylation.Conclusion:Chronic skin ulcers exhibit significant differences in cellular heterogeneity and gene expression,suggesting that chronic ulcers are not simply tissue defects but a complex pathological process dominated by chronic inflammation and immune dysregulation.The coordinated dysregulation of multiple cell subpopulations in the ulcer microenvironment,along with persistent inflammatory responses and metabolic abnormalities,is interconnected through the HIF-1/TNF/MAPK pathway network.Downregulation of granzyme gene family members and abnormal histone modifications may contribute to immune clearance defects,providing a theoretical basis for developing novel therapies targeting epigenetic regulation or mitochondrial function.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene

Objective:To explore the clinical distribution characteristics and changes of common inhalant allergens and food allergens in all outpatient and inpatient children visiting Shanghai Children′s Hospital from 2020 to 2024, and to provide a basis for the diagnosis, treatment and prevention of allergic diseases in children.Methods:A retrospective cohort study was conducted to retrospectively enroll all outpatient and inpatient children who visited Shanghai Children′s Hospital and underwent serum allergen-specific IgE (sIgE) antibody testing from January 2020 to August 2024, and the characteristics and changing trends of allergens in the past 5 years were analyzed. A total of 127 310 tests were included. There were 76 776 male tests (60.31%) and 50 534 female tests (39.69%). There were 27 392 tests (21.52%) aged 0-3 years (infant group), 51 596 tests (40.53%) aged 4-6 years (preschool group), 44 574 tests (35.01%) aged 7-12 years (school-age group), and 3 748 tests (2.94%) aged 13-18 years (adolescent group). The χ2 test was used for statistical analysis. Results:The difference in total positivity rate between different years was statistically significant ( χ2=2 907.478, P<0.001). The positive rates of inhalant allergens such as house dust, Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cockroach, cat dander, mugwort, Humulus scandens, mold fungi mix, and food allergens such as beef and mutton increased significantly with age (The χ2 values were 649.496, 3 414.686, 303.247, 1 277.408, 40.477, 189.952, 600.737, 203.198, and 15.301, respectively, and the P values were <0.001, <0.001, <0.001, <0.001, <0.001, <0.001,<0.001,<0.001, and 0.002, respectively). The positive rates of inhalant allergen such as Ambrosia elatior (1.59%) and food allergens such as egg white (17.36%), milk (30.48%), shrimp (8.27%), crab (8.13%), codfish (2.61%), salmon (0.66%), mytilus edulis (2.89%), lobster/scallop (5.27%), cashew nuts (5.09%), peanuts (3.54%), and soybean (1.73%) were highest at the age of 0-3 years and decreased significantly with age (The χ2 values were 10.365, 2 407.443, 139.085, 872.548, 870.245, 106.823, 47.674, 47.244, 559.422, 369.800, 384.788, 153.660, respectively, and the P values were 0.016, 0.000,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001,<0.001, respectively). Inhaled allergens mainly have a greater impact on children with respiratory-related diseases such as allergic rhinitis and asthma, while food allergens mainly have a greater impact on children with atopic dermatitis/eczema. The positive rate of sIgE of various allergens in the allergic rhinitis combined asthma group were higher than that of allergic rhinitis alone, and the sIgE positive rate of total allergens and inhaled allergens was significantly higher than that of allergic rhinitis alone ( χ2=20.851, 39.155, the P values were both<0.001). Among them, the sIgE positive rate of Ambrosia elatior and cashew nuts showed significant difference ( χ2=5.044, 8.420, P=0.025, 0.004); and the sIgE positive rate of Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cat dander, grass pollens mix and mold fungi mix had extremely significant difference ( χ2=26.409, 25.990, 21.283, 16.411, the P values were all <0.001). The inhaled allergens and food allergens with the highest positive rates in the 5 years were Dermatophagoides pteronyssinus/ Dermatophagoides farinae (56.21%) and milk (47.47%), and as time went by, the positive rates gradually decreased. There is a moderate correlation between the three allergens of Ambrosia elatior, Amaranthus retroflexus, and tree pollens mix (0.55, 0.70, 0.63), and there is a moderate correlation between mango and tree pollens mix (0.50). Conclusion:Dermatophagoides pteronyssinus/ Dermatophagoides farinae, cat dander, dog dander, egg white, and milk may be important allergens for children in Shanghai City from 2020 to 2024. The positive rates vary among different genders, age groups, and disease groups, but the positive rates of Dermatophagoides pteronyssinus/ Dermatophagoides farinae, milk and cat dander allergens remain in the top three.

Objective To explore the optimization and effect analysis method of rational drug use pre-prescription review rule base for traditional Chinese medicine(TCM).Methods The rules for the modules including indications,dosage range,incompatibility,administration route and repeated drug use of TCM decoction pieces and Chinese patent medicine were set to improve pre-prescription review rule base.The prescription rationality rate and intervention effectiveness rate to evaluate effect by χ2 test before and after the system optimization.Results After the optimization of pre-prescription review rule base for TCM,the rate of prescription rationality of the hospital increased from approximately 78.19%to 94.50%,and the rate of intervention effectiveness increased from approximately 82.80%to 97.15%.There were statistically significant differences in prescription rationality and intervention effectiveness rate between pre-and post-optimization groups(P＜0.05).Conclusion According to the current pre-prescription status of the hospital,optimizing pre-prescription review rules of TCM can improve the applicability of the review system for TCM prescriptions,and enhance the pre-prescription accuracy and the level of rational medication.However,rules optimization on other modules still needs to be further improved.

Objective To investigate the influence of individual factors and labor organization factors on work-related musculoskeletal disorders (WMSDs) in automobile manufacturing workers, and to provide a scientific basis for the prevention and treatment of WMSDs in automobile manufacturing workers. Methods In April 2020, 5564 workers in an automobile factory were selected by cluster sampling method. The prevalence of WMSDs was investigated by using the Musculoskeletal Disorders Questionnaire, and the influence of individual factors and labor organization factors on WMSDs was investigated by using generalized estimation equation. Results The prevalence rate of WMSDs was 79.00% (4396/5564), and the prevalence rate of multisite WMSDs was 67.95% (3781/5564). The analysis of generalized estimation equation showed that doing the same job every day (OR= 1.478, P < 0.05), age ≥40 years (OR=1.416, P< 0.05), personnel shortage (OR= 1.356, P < 0.05), and work length of 6～10 years and 11～15 years (OR= 1.349, P< 0.05) were the main risk factors for WMSDs in automobile manufacturing workers. Shift work and working time > 40 hours per week increased the risk of WMSDs (P< 0.05). Male and adequate rest time were protective factors for WMSDs. The job correlation matrix showed that WMSDs in most parts had a positive correlation. Conclusions The prevalence of multisite WMSDs of workers in automobile manufacturing industry is high, and unreasonable labor organization is the main risk factor of WMSDs. Appropriate work breaks can effectively reduce the risk of WMSDs, and effective intervention measures should be carried out to prevent the occurrence of WMSDs in workers in automobile manufacturing industry. The generalized estimation equation can better analyze the influencing factors of WMSDs.