Tourette syndrome （TS） is a highly prevalent neurodevelopmental disorder in children， clinically characterized primarily by motor and/or vocal tics. Its pathogenesis is associated with hyperactivity of the dopaminergic system in the basal ganglia， and current medical treatments are limited by adverse reactions and unsatisfactory efficacy. In traditional Chinese medicine （TCM）， TS is classified under categories such as "liver wind" and "convulsions"， and is considered to be closely related to liver dysregulation. Uncariae Ramulus Cum Uncis （URCU） is a commonly used wind-dispelling herb. URCU has a clearly defined origin and a rich chemical composition， with alkaloids as its major active constituents， including rhynchophylline and isorhynchophylline. Its plasma components include multiple prototype alkaloids， which exhibit metabolic differences and phenomena such as enterohepatic circulation. Its brain-entering components possess blood-brain barrier permeability， and their distribution is associated with pharmacological effects. In recent years， increasing numbers of studies have focused on the pharmacological effects and mechanisms of the active components of URCU in the treatment of TS. This article systematically reviews the mechanisms by which URCU and its main active constituents exert therapeutic effects on TS from the following aspects： regulation of monoamine and amino acid neurotransmitters to improve neurotransmitter system imbalance， neuroprotection and intervention in neuroinflammation-related pathways； antioxidant effects through activation of antioxidant signaling pathways， and immunomodulatory functions influencing immune cells and the gut microbiota. In addition， the clinical application of compound formulas containing URCU in the treatment of TS is summarized， with the aim of providing new perspectives for further research on the pharmacological mechanisms of URCU and the treatment of TS.

Tourette syndrome （TS） is a highly prevalent neurodevelopmental disorder in children， clinically characterized primarily by motor and/or vocal tics. Its pathogenesis is associated with hyperactivity of the dopaminergic system in the basal ganglia， and current medical treatments are limited by adverse reactions and unsatisfactory efficacy. In traditional Chinese medicine （TCM）， TS is classified under categories such as "liver wind" and "convulsions"， and is considered to be closely related to liver dysregulation. Uncariae Ramulus Cum Uncis （URCU） is a commonly used wind-dispelling herb. URCU has a clearly defined origin and a rich chemical composition， with alkaloids as its major active constituents， including rhynchophylline and isorhynchophylline. Its plasma components include multiple prototype alkaloids， which exhibit metabolic differences and phenomena such as enterohepatic circulation. Its brain-entering components possess blood-brain barrier permeability， and their distribution is associated with pharmacological effects. In recent years， increasing numbers of studies have focused on the pharmacological effects and mechanisms of the active components of URCU in the treatment of TS. This article systematically reviews the mechanisms by which URCU and its main active constituents exert therapeutic effects on TS from the following aspects： regulation of monoamine and amino acid neurotransmitters to improve neurotransmitter system imbalance， neuroprotection and intervention in neuroinflammation-related pathways； antioxidant effects through activation of antioxidant signaling pathways， and immunomodulatory functions influencing immune cells and the gut microbiota. In addition， the clinical application of compound formulas containing URCU in the treatment of TS is summarized， with the aim of providing new perspectives for further research on the pharmacological mechanisms of URCU and the treatment of TS.

Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo evaluate the detection specificity for clinical samples and the detection capability for standard substances of five commercially available multiplex polymerase chain reaction (PCR) nucleic acid detection kits (hereinafter referred to as the kits) for respiratory pathogens, and to provide a reference for selecting appropriate detection kits for multi-pathogen nucleic acid testing of respiratory infections. MethodsA total of 60 respiratory pathogen-positive clinical samples with known redults were selected and tested using the five kits (labeled as A, B, C, D, and E). The detection rates and Kappa coefficients were calculated to evaluate the consistency between the results from these kits and those from single-pathogen PCR kits. According to the limit of detection (LOD) provided by the kits, standard substances of respiratory pathogens (including 12 types such as influenza virus, Mycoplasma pneumoniae, and Bordetella pertussis) were diluted to four concentrations (250, 500, 1 000, and 2 000 copies·mL⁻¹). All five kits were used for detection to evaluate their respective detection capabilities. ResultsCompared with the results from single-pathogen PCR kits, the five tested kits demonstrated good consistency (all Kappa >0.80). Among them, Kit A had the highest detection rate (100.00%), followed by Kits C and E (98.33%), and then Kits B and D (95.00%). All five kits showed a relatively low false negative rate (FNR) for samples with a cycle threshold (Ct) value ≤35 (≤2.38%). However, for samples with Ct values>35, the FNR increased accordingly(average FNR=6.67%, P=0.029). Kit C exhibited the highest detection sensitivity for the tested standard substances (average LOD: 458.33 copies·mL⁻¹), followed by Kit D, then Kits A/E, and finally Kit B. ConclusionThe five multiplex PCR kits showed good consistency with single-pathogen detection results, but each had its own performance emphasis. Kit A, with the highest detection rate and high throughput, is suitable for targeted viral screening. Kit B, covering the broadest pathogen spectrum (including fungi/bacteria), is suitable for comprehensive respiratory pathogen screening. Kits C, D and E, are applicable for rapid detection. It is important to note that the detection efficacy of all kits decreases for low viral load samples with Ct values >35. In practical application, selection should be based on specific screening objectives, throughput requirements, and sample types.

Icodextrin peritoneal dialysis solution may produce cytotoxic α-dicarbonyl degradation products during heat sterilization, which must be monitored and controlled. The study established an o-phenylenediamine (OPD) derivatization HPLC-MS/MS method for the detection of these degradation products, enabling qualitative and quantitative analysis of α-dicarbonyl degradation products in icodextrin peritoneal dialysis solution. The results indicated that the main α-dicarbonyl degradation products in icodextrin peritoneal dialysis solution are 3-deoxyglucosone (3-DG), 3-deoxygalactosone (3-DGal), 4-deoxyglucosone (4-DG), and 3,4-dideoxyglucosone-3-ene (3,4-DGE), along with two monocarbonyl degradation products, furfural and 5-hydroxymethylfurfural. The quantitative method for 3-DG, 3-DGal, 3,4-DGE and their structural analog, glucosone, was validated. 3-DG, 3-DGal, and glucosone exhibited good linear relationships within the range of 5-150 ng/mL, while 3,4-DGE showed good linearity in the range of 1-150 ng/mL. The spiked recovery rates for all compounds were between 86.8% and 100.0%. The detection limits for glucosone, 3-DG, and 3-DGal were approximately 2.4 ng/mL, and approximately 0.5 ng/mL for 3,4-DGE. The method established in this study can accurately determine α-dicarbonyl degradation products in icodextrin peritoneal dialysis solution, providing an important basis for the quality control.

Background In 2021, chronic obstructive pulmonary disease (COPD) emerged as the forth leading cause of death in the world. However, the impact of air pollutants on COPD is still inconsistent across current studies. Objective To analyze the relationship between ambient sulfur dioxide (SO₂) exposure and hospital admissions for COPD in Lanzhou, and to examine the modified effects of SO₂ across different genders, age groups, and seasons. Methods A total of 20718 hospital admission records for COPD were collected from Lanzhou between 2016 and 2020, alongside synchronized data on SO₂ concentration and meteorological variables. A generalized additive model integrated with a distributed lag nonlinear model was used to assess the relationship and the lag effects between SO₂ exposure and COPD admissions. Potential confounders, including meteorological factors, day-of-the-week effect, and holidays, were controlled for, with a maximum lag period set at 7 d. Two-pollutant models and sensitivity analyses were conducted to ensure robustness. Results are expressed as relative risks (RR) with 95% confidence intervals (95%CI). Results During the study period, the average daily number of COPD admissions was 11.34±7.03. The average mass concentration of SO₂ was (23.72±12.35) μg·m⁻³. SO₂ exposure was positively correlated with COPD admissions; specifically, each 10 μg·m⁻³ increase in SO₂ concentration was associated with an RR of 1.440 (95%CI: 1.317, 1.573). Stratified analyses found that at a cumulative lag of 7 d, the RRs were higher among females, individuals aged ≥65 years, and during the cold season. Conversely, no significant increase in COPD admission risk related to SO₂ was observed during the warm season. For every 10 μg·m⁻³ increase in SO₂ concentration, the RR was 1.483 (95%CI: 1.311, 1.678) for females, 1.441 (95%CI: 1.311, 1.583) for those aged > 65 years， and 1.595 (95%CI: 1.313, 1.937) during the cold season. Conclusion Short-term exposure to ambient SO₂ exposure in Lanzhou is associated with an increased risk of COPD admission. The association is more pronounced among females, the elderly (aged> 65 years) and during the cold season.

Objective: To systematically review the modeling strategies, primary outcomes, and quantifiable effects in animal models of transfusion-related acute lung injury (TRALI), transfusion-associated circulatory overload (TACO), acute hemolytic transfusion reaction (AHTR), and related transfusion paradigms. Subgroup meta-analysis was designated as the primary analytical framework, with the overall pooled effect treated as exploratory. Methods: We searched PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to December 30, 2025. Eligible studies utilized animal models to simulate transfusion-related adverse reactions and provided extractable quantitative outcomes. The SYRCLE tool was used to assess the risk of bias. Random-effects models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Prespecified subgroup analyses were conducted for TRALI, TACO, AHTR, and donor sex-related transfusion paradigms. Additional analyses included funnel plots, Egger/Begg tests, leave-one-out sensitivity analyses, and meta-regression based on publication year. Results: Twenty-one studies comprising 24 independent comparisons were included in the quantitative synthesis. The overall pooled estimate was OR=1.07 (95% CI:0.69-1.66), with substantial heterogeneity (I =96%). Subgroup analyses yielded the following estimates: TRALI, OR=0.83 (95%CI:0.57-1.21, I =97%); TACO, OR=1.85 (95%CI:0.54-6.34, I =93%); donor sex-related paradigms, OR=1.49 (95%CI:1.02-2.17, I =85%); and AHTR, OR=0.26 (95%CI:0.10-0.64, I =0%). Between-subgroup differences were statistically significant (P<0.000 1). Publication year was positively correlated with effect size (P=0.001 4). Most studies demonstrated unclear risk of bias across several SYRCLE domains due to incomplete methodological reporting. Conclusion: Animal models of transfusion-related adverse reactions exhibit significant structural heterogeneity across syndrome categories. Therefore, subgroup-specific and narrative syntheses are recommended as the primary presentation framework, rather than relying on a single overall pooled effect. Complement-targeted interventions in AHTR models demonstrated a consistent protective signal. In contrast, TRALI and TACO models require greater standardization in modeling protocols and endpoint definitions to reduce methodological variability.

At present， the systematic excavation of the clinical experience and academic thought of the Sichuan school of Chinese medicine vis-à-vis its dominant disease entities remains fragmentary， and replicable paradigms are scarce. Confronted with empirical fragmentation， data heterogeneity and decision-making subjectivity， the standardised distillation， inheritance and clinical translation of these distinctive experiences has become a critical bottleneck constraining the development of the Sichuan school. The integration of artificial-intelligence technologies in data processing， pattern recognition and intelligent decision-making has rendered deep mining of traditional Chinese medicine（TCM） clinical knowledge and patterns imperative. Constructing an intelligent modern TCM diagnostic-therapeutic-evaluative system is now the obligatory route for inheritance and innovation in Chinese medicine， and simultaneously provides a technological breakthrough for intelligent decision paradigms in the dominant diseases of the Sichuan school. Accordingly， this study adopts the regional academic school as its point of entry， focuses on the dominant diseases of the Sichuan school， and proposes an innovative pathway of "four-dimensional data-multi-modal fusion-multi-agent decision-making". Specifically， four data dimensions are defined and instantiated： （Ⅰ） knowledge from classical medical literature and historical case records. （Ⅱ） objective four-diagnosis phenotypic data. （Ⅲ） master physicians' prescribing regularities. （Ⅳ） characteristic mechanisms of renowned formulae. Leveraging multi-modal data fusion and generative artificial intelligence， the entire causal chain of Famous Physicians and Renowned Formulas is explicated to reconstruct the diagnostic-therapeutic cognitive logic of the regional school. Finally， a multi-agent collective-decision model is established and refined for the dominant diseases of the Sichuan school， capable of generating precise， individualised treatment regimens and thereby advancing an intelligent diagnostic-therapeutic paradigm that delivers more efficient and accurate clinical decision support.