ObjectiveTo explore the effect of different drying conditions on the appearance and intrinsic quality indicators of Pinelliae Rhizoma for screening suitable drying conditions， so as to provide reference for its standardized production and quality evaluation. MethodsDifferent dried samples of Pinelliae Rhizoma were prepared by lime-assisted sweating method and intermittent drying method. Visual analysis was employed to measure the color brightness values（L^*） of the surface， cross-section and powder of the samples， texture analyzer was used to determine the hardness of the samples under different drying conditions. The total starch content was calculated by measuring the contents of amylose and amylopectin in the samples with ultraviolet-visible spectroscopy. High performance liquid chromatography（HPLC） was used to determine the contents of seven nucleoside components（uracil， hypoxanthine， uridine， inosine， guanosine， β-thymidine and adenosine） in the samples. Pearson correlation analysis was conducted to explore the correlation between the external characteristics and intrinsic indicators of the different dried samples. Principal component analysis（PCA） was used to comprehensively rank the data of various indicators， and partial least squares-discriminant analysis（PLS-DA） was used to screen differential components with variable importance in the projection（VIP） value>1. Furthermore， the difference between the optimal drying condition for Pinelliae Rhizoma and the traditional sun-drying method was explored by independent samples t-test. ResultsWith the increase of temperature， the color of the intermittently dried samples gradually deepened， while their hardness gradually decreased. Concurrently， the contents of extract， total starch， uridine and adenosine exhibited an upward trend， whereas the contents of uracil， hypoxanthine and inosine displayed a downward trajectory. Compared with the intermittent drying group， the content of extract in the samples subjected to lime-assisted sweating increased. With the increase of lime dose， the hardness and the total content of nucleoside components in the samples showed a downward trend， while the total starch content showed an upward trend. Correlation analysis showed that the comprehensive score of L^* was negatively correlated with the contents of uracil， hypoxanthine and inosine， and positively correlated with the contents of uridine， guanosine and adenosine. Hardness was negatively correlated with adenosine content， and positively correlated with the contents of inosine， uracil and hypoxanthine. Through comprehensive consideration and comprehensive score of principal components， the method of 5% lime-mixed sweating for 6 days emerged as the top-ranking approach. Except for the extract， the results of independent samples t-test showed that there was no significant difference between the 5% lime-mixed sweating for 6 days and the traditional sun-drying in terms of other content indicators. ConclusionThe whiteness and firmness of Pinelliae Rhizoma exhibit significant correlations with its chemical composition， while uridine， uracil， guanosine， adenosine and inosine are the key constituents responsible for the quality difference of Pinelliae Rhizoma under different drying conditions. The lime-assisted sweating method optimized in this study can be proposed as a viable alternative to the traditional sun-drying method. This method not only ensures the quality of the medicinal material but also effectively reduces the drying time and prevents mold contamination， which provides a valuable reference for the standardization of drying conditions and the establishment of quality evaluation criteria for Pinelliae Rhizoma.

Dental stem cells (DSCs), a distinct subset of mesenchymal stem cells (MSCs), are isolated from dental tissues, such as dental pulp, exfoliated deciduous teeth, periodontal ligament, and apical papilla. They have emerged as a promising source of stem cell therapy for tissue regeneration and autoimmune disorders. The main types of DSCs include dental pulp stem cells (DPSCs), stem cells from human exfoliated deciduous teeth (SHED), periodontal ligament stem cells (PDLSCs), and stem cells from apical papilla (SCAP). Each type exhibits distinct advantages: easy access via minimally invasive procedures, multi-lineage differentiation potential, and excellent ethical acceptability. DSCs have demonstrated outstanding clinical efficacy in oral and maxillofacial regeneration, and their long-term safety has been verified. In oral tissue regeneration, DSCs are highly effective in oral tissue regeneration for critical applications such as the restoration of dental pulp vitality and periodontal tissue repair. A defining advantage of DSCs lies in their ability to integrate with host tissues and promote physiological regeneration, which render them a better option for oral tissue regenerative therapies. Beyond oral applications, DSCs also exhibit promising potential in the treatment of systemic diseases, including type Ⅱ diabetes and autoimmune diseases due to their immunomodulatory effects. Moreover, extracellular vesicles (EVs) derived from DSCs act as critical mediators for DSCs' paracrine functions. Possessing regulatory properties similar to their parental cells, EVs are extensively utilized in research targeting tissue repair, immunomodulation, and regenerative therapy-offering a "cell-free" strategy to mitigate the limitations associated with cell-based therapies. Despite these advancements, standardizing large-scale manufacturing, maintaining strict quality control, and clarifying the molecular mechanisms underlying the interaction of DSCs and their EVs with recipient tissues remain major obstacles to the clinical translation of these treatments into broad clinical use. Addressing these barriers will be critical to enhancing their clinical applicability and therapeutic efficacy. In conclusion, DSCs and their EVs represent a transformative approach in regenerative medicine, and increasing clinical evidence supports their application in oral and systemic diseases. Continuous innovation remains essential to unlocking the widespread clinical potential of DSCs.
Humans ; Dental Pulp/cytology* ; Translational Research, Biomedical ; Mesenchymal Stem Cells/cytology* ; Periodontal Ligament/cytology* ; Stem Cells/cytology* ; Regeneration ; Tooth, Deciduous/cytology* ; Cell Differentiation ; Tissue Engineering/methods* ; Regenerative Medicine

Objective To analyze the interaction between voriconazole(VRC)and immunosuppressants such as tacrolimus and cyclosporine and the effect of CYP2C19 gene polymorphism on the interaction and adverse reactions(ADR)based on the results of CYP2C19 gene polymorphism and therapeutic drug monitoring,so as to provide a basis for the development of individualized VRC combined with immunosuppressants.Methods Two-dimensional liquid chromatography and pyrosequencing was used to detect the concentration of VRC and the CYP2C19 gene pol-ymorphism,respectively.And the concentration of immunosuppressants was detected at the same time.The rela-tionship among CYP2C19 gene polymorphism,the concentration of VRC and immunosuppressant and ADR was an-alyzed.Results A total of 61 patients were enrolled in this study,and the mutation rates of CYP2C19*2 and CYP2C19*3 were 54.1％(33/61)and 9.84％(6/61),respectively.The concentrations of VRC in patients with extensive metabolism(EMs),intermediate metabolism(IMs)and poor metabolism(PMs)were(4.44±3.46),(3.62±3.02)and(10.05±1.46)μg/ml(P＜0.05),respectively.The concentration of tacrolimus af-ter combined with VRC significantly increased compared to tacrolimus alone[(13.4±9.2)ng/ml vs(6.5±3.6)ng/ml;P=0.002],and the concentration of tacrolimus increased along with an increasing of VRC concentration.The concentration of VRC in patients combined with tacrolimus was lower than that in patients without immunosup-pressants[(3.81±3.48)μg/ml vs(5.84±3.71)μg/ml;P=0.032].The concentration of VRC inpatients with cyclosporine significantly decreased(P＜0.01),while tacrolimus and mycophenolate mofetil had no signifi-cant effect on the concentration of VRC.45.90％(28/61)of the patients had adverse reactions,the concentration of VRC in patients with ADR was significantly higher than that in patients without ADR[(7.07±3.43)μg/ml vs(3.06±2.90)μg/ml;P＜0.001].And the concentration of VRC in patients with ADR was higher than patients without ADR with based on CYP2C19 genotype.Conclusion CYP2C19 gene polymorphism can significantly affect the concentration and adverse reactions of VRC,and VRC has significant interaction with immunosuppressants such as tacrolimus.CYP2C19 gene polymorphism combined with therapeutic drug monitoring can improve the individual-ized treatment of tacrolimus and voriconazole,and is expected to minimize toxicity and improve treatment effects.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

The incidence of allergic rhinitis (AR) is increasing year by year, especially in children. AR not only affects the growth, development, life and learning of children but also causes huge economic and social burdens. This study explores the impact of individual factors such as genetic polymorphisms, epigenetics, inflammatory response mechanisms, and microecological influence mechanisms on children′s AR. It also reviews the impact of external factors such as allergenic factors, ambient air pollutants, infection and immunity factors, and climate and climate change on the disease, with the aim of improving understanding of AR in children and providing a basis for its prevention and treatment.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective:To analyze the relationship between genotype and clinical phenotype of the MYH7-R453C mutation in five Chinese hypertrophic cardiomyopathy (HCM) families.Methods:A retrospective cohort study was conducted on 527 unrelated HCM probands who were first diagnosed at the First Affiliated Hospital of Air Force Medical University (Xijing Hospital) from February 2014 to July 2018, and the high-throughput whole exome targeted sequencing of 96 genes related to hereditary cardiovascular disease was performed on the probands. The probands carrying the MYH7-R453C mutation were screened out, and their family members carrying the mutation were verified using Sanger sequencing. Healthy individuals without family history of genetic diseases from the same period and ethnicity were recruited as controls. Clinical data such as echocardiography, 12-lead electrocardiogram, and cardiac magnetic resonance imaging of the probands and their family members were collected, and the correlation between patient genotype and clinical phenotype was analyzed. Endpoint or key events were recorded through hospital re-examination or telephone follow-up.Results:The MYH7-R453C mutation was detected in 5 HCM probands, and clinical data and genetic results of 20 family members, including probands, were collected. Among them, 13 carried the MYH7-R453C mutation, of which 12 were diagnosed with HCM, and one child (F1Ⅲ 5) experienced early changes of HCM. The seven family members who did not carry the MYH7-R453C mutation had normal echocardiograms and 12-lead electrocardiograms. Among the 12 patients diagnosed with HCM, 2 experienced (F2Ⅱ 7, F5Ⅰ 2) sudden cardiac death, 2 experienced (F1Ⅲ 1, F3Ⅲ 3) events of sudden cardiac death survival, 2(F1Ⅱ 2, F3Ⅱ 1) died from heart failure during the follow-up period. Combined with the initial visit and follow-up, 4 families (F1, F2, F3, F5) had a family history of sudden death, among which 3 families probands or multiple family members experiencing sudden death before the age of 30 and adverse outcomes such as implantation of implantable cardioverter-defibrillators after sudden death survival. Conclusions:In the five families with HCM carrying MYH7-R453C mutations, genotype is highly correlated with clinical phenotype, and patients have a high risk of sudden death and poor prognosis. Early diagnosis of individuals carrying the MYH7-R453C gene mutation, both within the patient′s family and in the patients themselves, is crucial for initiating early treatment, preventing sudden death, and assessing prognosis.

Objective:To explore the therapeutic effect of traditional Chinese medicine formula Kuijie enema combined with Western medicine on patients with ulcerative colitis.Methods:A clinical prospective randomized trial was conducted, and 107 patients with ulcerative colitis admitted to the Shiyan People′s Hospital from January 2018 to December 2022 were included in the study. They were randomly divided into a combination group of 54 cases and a control group of 53 cases using a random number table method. Both groups of patients received the same basic treatment plan, and the combination group was treated with traditional Chinese medicine formula for ulcerative colitis enema on this basis. Both groups of patients were treated continuously for 4 weeks, We observed the differences in serum inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-10 (IL-10), monocyte chemokine 1 (MCP1)], Mayo score, endoscopic mucosal score, traditional Chinese medicine symptom score, and clinical treatment efficacy between two groups of patients before and after treatment.Results:After treatment, the serum levels of TNF-α, IL-6, and MCP1 in the two groups were lower than those before treatment, and IL-10 was higher (all P<0.05), and the changes of the above inflammatory factors were more obvious in the combined group, with statistically significant differences (all P<0.05). After treatment, the Mayo score and endoscopic mucosal score of both groups of patients decreased compared to before treatment (all P<0.05), and the Mayo score and endoscopic mucosal score of patients in the combination group were lower than those in the control group (all P<0.05). After treatment, the traditional Chinese medicine syndrome scores of both groups decreased compared to before treatment (all P<0.05), and the combined group patients had lower scores for diarrhea, abdominal pain, pus and bloody stools, urgency and weight, and anal burning than the control group, with statistical significance (all P<0.05). Both groups of patients were treated continuously for 4 weeks, and the overall efficacy distribution of the combination group was better than that of the control group ( Z=-2.274, P=0.023). Conclusions:The combination of traditional Chinese medicine formula Kuijie enema liquid and Western medicine can more effectively reduce the degree of inflammation in patients with ulcerative colitis, alleviate clinical symptoms, and improve clinical treatment effectiveness.