Wilson disease （WD） is one of the few treatable neurogenetic disorders. Currently， Western medicine remains the main treatment method for WD， while since the 1990s， multiple studies conducted by Professor Yang Renmin and his team have shown that traditional Chinese medicine （TCM） also has a favorable therapeutic effect. Based on the principle of low-copper diet for WD， this article systematically elaborates on the advantages， limitations， and key considerations of current Western medicine therapies （pharmacotherapy， liver transplantation， and splenectomy） and reviews the research findings of TCM in China， especially the wide application of Gandou Decoction in clinical practice. Studies have shown that Gandou Decoction can effectively improve neurological symptoms， protect hepatic and renal function， and avoid the adverse drug reactions associated with metal chelating agents， and therefore， it can be used an effective long-term adjuvant therapy for WD. It should be noted that symptoms and signs should be considered in integrated traditional Chinese and Western medicine therapy for WD， and high-copper TCM drugs should be avoided to prevent deterioration.

ObjectiveTo explore the potential mechanism of Xiaoqinglong Decoction （小青龙汤， XD） in the treatment of allergic rhinitis. MethodsForty-five rats were randomly assigned to a control group， a model group， a loratadine group， low-， medium- and high-dose XD groups， and low-， medium- and high-dose Mahuang Decoction and Cang'erzi Powder （麻黄汤合苍耳子散， MDCP） groups. Except for the control group， rats were administered with ovalbumin （OVA） and aluminum hydroxide via intraperitoneal injection for 14 days to establish an allergic rhinitis model. After the 14th-day injection， nasal stimulation was continued with 20 μl of 10% OVA solution to maintain the model. Rats in the control group and the model group received 10 ml/（kg·d） of saline， whereas those in the loratadine group were administered with 0.9 mg/（kg·d） of loratadine. The low-， medium- and high-dose XD groups were administered XD at the dose of 2.7， 5.4， and 10.8 g/（kg·d）， respectively. The low-， medium- and high-dose MDCP groups were administered MDCP at the dose of 2.43， 4.86， and 9.72 g/（kg·d）， respectively. All treatments were administered by gavage once daily for 7 consecutive days. One hour after the final gavage， nasal symptom scores were recorded for all group of rats. The next day， serum levels of immunoglobulin E （IgE）， interleukin-4 （IL-4）， and interleukin-13 （IL-13） were measured. HE staining was used to observe the pathological morphology of the nasal mucosal tissue. Quantitative reverse transcription PCR （RT-qPCR） and Western Blot were performed to assess mRNA and protein expression of thymic stromal lymphopoietin （TSLP） and OX40 ligand （OX40L） in the nasal mucosa. ResultsCompared to the control group， total nasal symptom score in the model group significantly increased （P＜0.01）. HE staining revealed disrupted and adhered cilia， thickened basement membranes， and extensive inflammatory cell infiltration in the nasal mucosa. Serum levels of total IgE， IL-4， and IL-13， as well as TSLP and OX40L mRNA and protein expression in the nasal mucosa， were significantly elevated in the model group （P＜0.05 or P＜0.01）. Compared to the model group， the total nasal symptom scores in all drug intervention groups were significantly reduced； the serum total IgE levels in the loratadine group， the low- and medium-dose XD groups， and the low- and high-dose MDCP groups were significantly reduced； and the serum levels of IL-4 and IL-13 in the high-dose XD group and the high-dose MDCP group decreased （P＜0.05 or P＜0.01）. Nasal mucosal structure was improved. Except for the low-dose MDCP group， all other intervention groups showed a significant reduction in TSLP and OX40L mRNA expression in the nasal mucosa （P＜0.01）. All doses of XD and the medium- and high-dose MDCP groups significantly decreased the protein levels of TSLP and OX40L （P＜0.05）. The medium-dose XD group exhibited more improvement of nasal symptom scores and greater suppression of expression of TSLP and OX40L mRNA， and TSLP protein levels compared to the loratadine group （P＜0.05）. ConclusionXD may protect nasal mucosa of rats and alleviate allergic rhinitis by suppressing the TSLP/OX40L pathway， thereby attenuating Th2-mediated immune responses.

ObjectiveTo explore the potential mechanism of Xiaoqinglong Decoction （小青龙汤， XD） in the treatment of allergic rhinitis. MethodsForty-five rats were randomly assigned to a control group， a model group， a loratadine group， low-， medium- and high-dose XD groups， and low-， medium- and high-dose Mahuang Decoction and Cang'erzi Powder （麻黄汤合苍耳子散， MDCP） groups. Except for the control group， rats were administered with ovalbumin （OVA） and aluminum hydroxide via intraperitoneal injection for 14 days to establish an allergic rhinitis model. After the 14th-day injection， nasal stimulation was continued with 20 μl of 10% OVA solution to maintain the model. Rats in the control group and the model group received 10 ml/（kg·d） of saline， whereas those in the loratadine group were administered with 0.9 mg/（kg·d） of loratadine. The low-， medium- and high-dose XD groups were administered XD at the dose of 2.7， 5.4， and 10.8 g/（kg·d）， respectively. The low-， medium- and high-dose MDCP groups were administered MDCP at the dose of 2.43， 4.86， and 9.72 g/（kg·d）， respectively. All treatments were administered by gavage once daily for 7 consecutive days. One hour after the final gavage， nasal symptom scores were recorded for all group of rats. The next day， serum levels of immunoglobulin E （IgE）， interleukin-4 （IL-4）， and interleukin-13 （IL-13） were measured. HE staining was used to observe the pathological morphology of the nasal mucosal tissue. Quantitative reverse transcription PCR （RT-qPCR） and Western Blot were performed to assess mRNA and protein expression of thymic stromal lymphopoietin （TSLP） and OX40 ligand （OX40L） in the nasal mucosa. ResultsCompared to the control group， total nasal symptom score in the model group significantly increased （P＜0.01）. HE staining revealed disrupted and adhered cilia， thickened basement membranes， and extensive inflammatory cell infiltration in the nasal mucosa. Serum levels of total IgE， IL-4， and IL-13， as well as TSLP and OX40L mRNA and protein expression in the nasal mucosa， were significantly elevated in the model group （P＜0.05 or P＜0.01）. Compared to the model group， the total nasal symptom scores in all drug intervention groups were significantly reduced； the serum total IgE levels in the loratadine group， the low- and medium-dose XD groups， and the low- and high-dose MDCP groups were significantly reduced； and the serum levels of IL-4 and IL-13 in the high-dose XD group and the high-dose MDCP group decreased （P＜0.05 or P＜0.01）. Nasal mucosal structure was improved. Except for the low-dose MDCP group， all other intervention groups showed a significant reduction in TSLP and OX40L mRNA expression in the nasal mucosa （P＜0.01）. All doses of XD and the medium- and high-dose MDCP groups significantly decreased the protein levels of TSLP and OX40L （P＜0.05）. The medium-dose XD group exhibited more improvement of nasal symptom scores and greater suppression of expression of TSLP and OX40L mRNA， and TSLP protein levels compared to the loratadine group （P＜0.05）. ConclusionXD may protect nasal mucosa of rats and alleviate allergic rhinitis by suppressing the TSLP/OX40L pathway， thereby attenuating Th2-mediated immune responses.

OBJECTIVE To systematically review the status on pharmacist competency assessment tools both domestically and internationally， providing a theoretical basis for constructing scientific and applicable pharmacist competency assessment tools in China. METHODS Through literature review and comparative analysis， 15 representative domestic and international pharmacist competency assessment tools were systematically summarized， and their theoretical foundations， core dimensions， methodological characteristics and practical applications were compared and implications were given. RESULTS &CONCLUSIONS International research has established relatively mature evaluation systems. Represented by those developed from the United Kingdom， the United States， and the International Pharmaceutical Federation， these assessment tools demonstrate scientific structure， wide application， and dynamic and international applicability. While domestic research has progressed in sub-specialties such as clinical pharmacists， licensed pharmacists and pediatric pharmacists， it still faces challenges including insufficient standardization， inadequate validation， delayed updates， and limitations in practical application. The reasons for the disparities in assessment tools between China and other countries include differences in pharmaceutical care models， varying pharmacist training systems， cultural and social background factors， as well as differences in industry management and international influence. Based on this， the author suggests promoting the development and research of assessment tools for pharmacist job competency in China from four aspects： mechanism construction， system refinement， standardization development， and practical implementation.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

Near infrared spectroscopy(NIRS)technology has been widely applied in quantitative analysis of pharmaceuticals,food,and chemical industries.In this study,a NIRS quantitative analysis model(MDCSpecNet)based on a multi-scale dilated convolutional neural network was proposed.The model consisted of a one-dimensional convolutional layer,a batch normalization layer,a max-pooling layer,a multi-scale dilated convolutional neural network,and a full-connected layer.Among which,the one-dimensional convolutional layer and the max-pooling layer performed preliminary featured extraction and dimensionality reduction on the original spectra,the batch normalization layer accelerated the convergence of the model,the multi-scale dilated convolutional neural network extracted and fused spectral features,and the fully-connected layer linearly represented the feature information,enhancing the model's prediction accuracy and generalization ability.MDCSpecNet prediction models were established using publicly available NIRS datasets of pharmaceuticals,grains,wheat,milk,and gasoline.The prediction results were compared and analyzed with those of one dimensional convolution neural network(1D-CNN),partial least squares(PLS),support vector regression(SVR),and extreme learning machine regression(ELM)modeling methods.The results showed that,in prediction of the content of active pharmaceutical ingredient(API)in pharmaceuticals,the glucose content in grains,the lactate content in grains,the moisture content in grains,the protein content in wheat,the octane number in gasoline and the cloud point of melamine,the accuracy of the MDCSpecNet model increased by 16%,36.7%,25.1%,22.6%,34.2%,15.2%and 22.6%compared to 1D-CNN,46.9%,66.7%,73.2%,65.8%,16.6%,15.9%and 13.7%compared to PLS,68.1%,70.6%,81.7%,73.9%,69.2%,77.9%and 56%compared to SVR,and 62%,20.4%,48.9%,85.6%,50.4%,13%and 44.6%compared to ELM,respectively.The MDCSpecNet model based on the multi-scale dilated convolutional neural network addressed the issues of low accuracy and poor generalization ability of traditional NIRS modeling methods,and it was feasible to use the MDCSpecNet model for quantitative analysis of NIRS of various substances.

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Enzymatic cascade catalysis has emerged as an effective means to enhance the sensitivity of biosensors due to its remarkable amplification effect on electrochemical signals.However,the most used natural enzymes have high specificity and high catalytic activity,but are susceptible to environmental factors,easy denaturation and inactivation,and high cost,which limit their practical applications.Additionally,the majority of nanozymes with excellent catalytic activity cannot be directly used as redox probes.The redox signal can only be required under high potentials in strong acid/alkali solutions,or functionalized with electroactive substances.To tackle this problem,herein,AuNPs(glucose oxidase-like activity)and Mn,Zr dual-doped CeO2 nanozymes(Mn,Zr-CeO2,peroxidase-like activity)were used as model enzymes to construct a high-performance nanozymes cascade catalytic system.Owing to high Ce4+/Ce3+ratio and a considerable number of oxygen vacancies,Mn,Zr-CeO2 nanozymes exhibited excellent peroxidase-like activity and could generate amplified electrochemical signals in neutral medium at low potentials.Furthermore,the porous structure of Mn,Zr-CeO2 nanozymes could accelerate the mass transfer of intermediate H2O2,thereby enhancing the efficiency of enzymatic cascade catalysis.As a result,a label-free electrochemical biosensor was constructed for sensitive detection of the cancer marker miRNA-21 at physiological pH,with a detection limit as low as 32.5 fmol/L.This strategy offered a novel approach for the development of a new generation of high-performance nanozymes cascade platforms,which could be widely applied in the fields such as biotechnology,bioanalysis,and disease diagnosis.

Follicle-stimulating hormone receptor (FSHR) is exclusively expressed in Sertoli cells within the testis. Mediated by FSHR, follicle-stimulating hormone (FSH) stimulates the proliferation and maturation of immature Sertoli cells via the cAMP/PKA, mTORC1 and AMPK signaling pathways. Simultaneously, FSH and androgen collaboratively regulate spermatogenesis in a synergistic manner. Given these physiological mechanisms, mutations in the FSHβ subunit frequently result in azoospermia; activating mutations in FSHR enable spermatogenesis to bypass FSH restrictions; while inactivating mutations in FSHR can impair male spermatogenesis. The association between FSHR single nucleotide polymorphisms and male infertility is influenced by gene locus and ethnicity, leading to inconsistent conclusions. This article highlights the profound significance of FSHR modulators for future infertility diagnosis and treatment, while also presenting a potential new avenue for male contraception.

Objective:To investigate the characteristics and determinants of total scores of cerebral small vessel disease (CSVD) and to analyze the factors associated with enlarged perivascular space (EPVS) grading in pilots.Methods:The physical examination data of 72 pilots who were hospitalized and diagnosed with CSVD by MRI in the Air Force Medical Center (General Hospital of Air Force) between 2019 and 2022 was retrospectively analyzed. The pilots were grouped by the total CSVD score (0, 1, 2, 3, 4 points), and the distribution of CSVD imaging biomarkers was compared across groups. The severity of EPVS was classified into 3 levels: none or mild (0-10), moderate (11-20), and severe (>20). The impact of vascular risk factors on the total CSVD score and EPVS grading was analyzed.Results:The results of the total CSVD score showed that there were 19 cases (26.39%) with a score of 0, 43 cases (59.72%) with a score of 1, 10 cases (13.89%) with a score of 2, and 0 case with scores of 3 or 4. Among those who scored 1, there were 2 cases (4.65%) of lacunar infarction (LA), 1 case (2.33%) of moderate to severe white matter hyperintensity (WMH), 2 cases (4.65%) of cerebral microbleed (CMB), and 38 cases (88.37%) of moderate and severe EPVS. Among those who scored 2, there were 7 cases (70.00%) of LA combined with EPVS, 2 cases (20.00%) of CMB combined with EPVS, and 1 case (10.00%) of WMH combined with EPVS. According to the CSVD imaging classification of these pilots, there were 9 cases (12.50%) of LA, 52 cases (72.22%) of WMH, 4 cases (5.60%) of CMB and 61 cases (84.72%) of EPVS. Multiple ordered Logistic regression analysis showed that systolic blood pressure ( OR=1.068, 95% CI: 1.016-1.122) and high-density lipoprotein cholesterol ( OR=0.111, 95% CI: 0.015-0.843) made a difference in the total CSVD score. High-density lipoprotein cholesterol ( OR=0.166, 95% CI: 0.031-0.893) could affect the EPVS grading. Spearman′s correlation analysis showed that the systolic blood pressure level was positively correlated with the total CSVD score ( r=0.299, P=0.011), while the high-density lipoprotein cholesterol level was negatively correlated with the total CSVD score and EPVS grading ( r=-0.313, -0.263, P=0.041, 0.026). Conclusions:The total CSVD score of pilots is at a mild level with EPVS as the leading contributor. The systolic blood pressure and the high-density lipoprotein cholesterol level are determinants for the total CSVD score, while the high-density lipoprotein cholesterol level is a determinant for the EPVS grading of pilots. Blood pressure control and lipid regulation can go a long way towards preventing CSVD in pilots. The total CSVD score is of value for stratified evaluation and individual identification of pilots with CSVD.