ObjectiveTo explore the effects of the Tibetan medicine Sanwei Doukoutang （SWDK） on cognitive dysfunction in mice suffering from Alzheimer's disease （AD） and its related mechanism. MethodsFifty SPF 5 × FAD mice were randomly divided into model group， total ginsenoside group（0.04 g·kg^-1）， high-， medium-， and low-dose groups of SWDK （32.60， 16.30， 8.15 g·kg^-1）， with 10 mice in each group， and ten wild-type mice of the same age were used as the normal group， male and female in 1∶1. Gavage administration was performed once daily for 8 weeks. The Morris water maze test and contextual fear memory experiment were used to observe learning and memory function. Hematoxylin-eosin （HE） staining was utilized to observe the changes in the pathomorphology of brain tissue in mice. The levels of synaptophysin （SYP） and postsynaptic dense substance 95 （PSD95） in mice serum were detected by enzyme-linked immunosorbent assay （ELISA）. The positive expression of brain-derived neurotrophic factor（BDNF） in the dentate gyrus （DG） region of mouse brain tissue was observed by immunohistochemistry （IHC）. The protein levels of BDNF， Wnt family member 3A（Wnt3a）， and β-catenin were detected in the hippocampus of mice by Western blot. ResultsCompared with the normal group of mice， the model group of mice had significantly more complex swimming routes and lower swimming speed （P<0.01）， significantly lower percentage of time spent in the target quadrant （P<0.01）， and a significantly lower percentage of freezing time （P<0.05）. The number of neurons in the hippocampal region of mice was obviously reduced and unevenly arranged. The levels of SYP and PSD95（P<0.01） in the serum of mice were reduced， and the positive expression of BDNF in the DG region of the brain tissue of mice was reduced. The levels of hippocampal BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice were obviously reduced （P<0.05， P<0.01）. Compared with the model group， the mice in the SWDK group and the total ginsenoside group had significantly shorter swimming routes， the high- and medium- dose SWDK groups significantly higher swimming speeds （P<0.01）， significantly higher percentage of time spent in the target quadrant （P<0.01）， obviously higher percentage of Freezing time （P<0.05）， and obviously more neurons in the hippocampal region of the mice with tighter arrangement. The mice had elevated levels of serum SYP （P<0.05， P<0.01）， PSD95 （P<0.01）， increased BDNF-positive cells in the DG region of brain tissue， and obviously elevated levels of BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice （P<0.05， P<0.01）. ConclusionSWDK can significantly improve the cognitive dysfunction of AD mice， and its mechanism may be related to regulating the Wnt/β-catenin signaling pathway， which promotes BDNF expression and thereby enhances synaptic plasticity， allowing neuronal signaling to be restored.

ObjectiveTo explore the effects of the Tibetan medicine Sanwei Doukoutang （SWDK） on cognitive dysfunction in mice suffering from Alzheimer's disease （AD） and its related mechanism. MethodsFifty SPF 5 × FAD mice were randomly divided into model group， total ginsenoside group（0.04 g·kg^-1）， high-， medium-， and low-dose groups of SWDK （32.60， 16.30， 8.15 g·kg^-1）， with 10 mice in each group， and ten wild-type mice of the same age were used as the normal group， male and female in 1∶1. Gavage administration was performed once daily for 8 weeks. The Morris water maze test and contextual fear memory experiment were used to observe learning and memory function. Hematoxylin-eosin （HE） staining was utilized to observe the changes in the pathomorphology of brain tissue in mice. The levels of synaptophysin （SYP） and postsynaptic dense substance 95 （PSD95） in mice serum were detected by enzyme-linked immunosorbent assay （ELISA）. The positive expression of brain-derived neurotrophic factor（BDNF） in the dentate gyrus （DG） region of mouse brain tissue was observed by immunohistochemistry （IHC）. The protein levels of BDNF， Wnt family member 3A（Wnt3a）， and β-catenin were detected in the hippocampus of mice by Western blot. ResultsCompared with the normal group of mice， the model group of mice had significantly more complex swimming routes and lower swimming speed （P<0.01）， significantly lower percentage of time spent in the target quadrant （P<0.01）， and a significantly lower percentage of freezing time （P<0.05）. The number of neurons in the hippocampal region of mice was obviously reduced and unevenly arranged. The levels of SYP and PSD95（P<0.01） in the serum of mice were reduced， and the positive expression of BDNF in the DG region of the brain tissue of mice was reduced. The levels of hippocampal BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice were obviously reduced （P<0.05， P<0.01）. Compared with the model group， the mice in the SWDK group and the total ginsenoside group had significantly shorter swimming routes， the high- and medium- dose SWDK groups significantly higher swimming speeds （P<0.01）， significantly higher percentage of time spent in the target quadrant （P<0.01）， obviously higher percentage of Freezing time （P<0.05）， and obviously more neurons in the hippocampal region of the mice with tighter arrangement. The mice had elevated levels of serum SYP （P<0.05， P<0.01）， PSD95 （P<0.01）， increased BDNF-positive cells in the DG region of brain tissue， and obviously elevated levels of BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice （P<0.05， P<0.01）. ConclusionSWDK can significantly improve the cognitive dysfunction of AD mice， and its mechanism may be related to regulating the Wnt/β-catenin signaling pathway， which promotes BDNF expression and thereby enhances synaptic plasticity， allowing neuronal signaling to be restored.

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.

Objective:To investigate the factors influencing the prescribing habits of general practitioners (GPs) in relation to single-pill combination (SPC) antihypertensive drugs.Methods:This was a qualitative study. Using the purposive sampling method, 2 general hospitals (designated as HAZ1-2) and 4 community health service centers (designated as HAS1-4) in Huai′an city, Jiangsu province were selected from April to May 2023. In addition, 4 general practitioners (designated as A-D) were selected as interviewees from each general hospital and center. The selected individuals were interviewed using on-site thematic group interviews. The interview mainly included the principles of clinical selection of SPC antihypertensive drugs; the degree of acceptance of SPC antihypertensive drugs by patients after prescription; the evaluation of SPC antihypertensive drugs and the difficulties existing in their clinical use. The data of the interview were analyzed according to the thematic framework.Results:Twenty-four GPs were interviewed. Four themes and 9 sub-themes were extracted regarding factors influencing GP prescribing of SPC antihypertensive drugs. The study showed that: (1) the prescribing of SPC antihypertensive drugs by GPs according to patients′ specific conditions; (2) the prescribing of SPC antihypertensive drugs by GPs was influenced by factors such as price and drug adjustment; (3) the different evaluations of SPC antihypertensive drugs among GPs; (4) GPs in community health service centers faced many difficulties in prescribing SPC antihypertensive drugs (relatively fewer varieties of SPC drugs in the community, lower patient trust in community GPs, and lower standardization of prescribing by community GPs).Conclusion:The factors influencing GPs′ prescribing of SPC antihypertensive drugs mainly include the patients′ specific situation, price, medication adjustment, attitude of GPs, and some clinical practice problems.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

BACKGROUND:Liuwei Dihuang Wan takes"three tonifying and three reducing effects"as its compatibility feature to nourish yin and tonify the kidneys,while Zuogui Wan takes"seeking yin in yang"as its compatibility feature to nourish yin and tonify the kidneys by promoting yang.Both of them belong to the same method of nourishing yin and tonifying the kidneys,and have better curative effects at the symptomatic and cellular molecular levels. OBJECTIVE:To observe the effects of Liuwei Dihuang Wan and Zuogui Wan in bone metabolism,and to explore their mechanism of action in the osteoprotegerin(OPG)/receptor activator of nuclear factor-κB ligand(RANKL)osteoblastic pathway. METHODS:Thirty-two Sprague-Dawley rats were randomized into model,Liuwei Dihuang Wan,Zuogui Wan,and sham operation group,with eight rats in each group.Osteoporosis models were prepared using removal of both ovaries in the first three groups.Starting at 30 days postoperatively,rats in the Liuwei Dihuang Wan group were gavaged with Liuwei Dihuang Wan 1.125 g/kg/d;rats in the Zuoqui Wan group were gavaged with Zuogui Wan 2.25 g/kg/d;and rats in the sham operation group and the model group were gavaged with saline 10 mL/kg/d.After 12 weeks of gavage,the rat tibia was taken to measure bone mineral density.The serum levels of estrogen,bone alkaline phosphatase,and cAMP/cGMP were measured using ELISA,and the expression of OPG/RANKL in the femur was detected using western blot. RESULTS AND CONCLUSION:Compared with the sham operation group,the model group showed a decrease in bone mineral density and levels of estrogen and bone alkaline phosphatase(P＜0.05)and an increase in cAMP/cGMP level(P＜0.05).Compared with the model group,the Liuwei Dihuang Wan group and the Zuogui Wan group significantly increased bone mineral density(P＜0.05)and bone alkaline phosphatase levels(P＜0.05);the Zuogui Wan group significantly decreased cAMP/cGMP levels(P＜0.05)and upregulated OPG expression(P＜0.05);the Liuwei Dihuang Wan group upregulated OPG expression and downregulated RANKL expression(P＜0.05);and both groups were unable to significantly increase estrogen levels(P＞0.05).To conclude,Zuogui Wan,which seeks yin from yang,can effectively increase the expression of OPG but cannot downregulate the expression of RANKL.However,Liuwei Dihuang Wan,which has three tonifying and three reducing effects,can bidirectionally regulate the expression of OPG and RANKL.This result suggests that Liuwei Dihuang Wan can significantly inhibit osteoclastic function compared with Zuogui Wan,and further research is needed to verify this conclusion.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.