The c-Jun N-terminal kinase （JNK） signaling pathway， a key member of the mitogen-activated protein kinase （MAPK） family， plays a central role in the pathogenesis and progression of central nervous system （CNS） diseases by regulating core biological processes such as apoptosis， inflammatory responses， synaptic plasticity， and autophagy. This article sorts out and analyzes relevant literature published domestically and internationally in recent years， summarizing the mechanisms of action of the JNK signaling pathway in common CNS diseases and the research progress in traditional Chinese medicine （TCM） interventions in CNS diseases through the regulation of the JNK signaling pathway. Studies have shown that active components of TCM， such as berberine， paeoniflorin， and astragaloside Ⅳ， as well as compound formulations like Heixiaoyao san， Ditan tang， and Buyang huanwu tang， can exert neuroprotective effects in various CNS disorders， including Alzheimer’s disease， Parkinson’s disease， cerebral ischemia-reperfusion injury， and epilepsy， by inhibiting the aberrant activation of the JNK signaling pathway， thereby alleviating neuroinflammation， oxidative stress， and neuronal apoptosis， while improving synaptic function and cognitive behavioral deficits， regulating autophagy， and maintaining blood-brain barrier integrity.

The Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines （hereinafter referred to as the Guidelines） is first specialized in the field of drug safety for oral Chinese patent medicines （OCPMs） in China. Rooted in China's healthcare context， the Guidelines address the unique usage patterns and risk characteristics of OCPMs， filling a regulatory gap in the pharmacovigilance framework specific to this category. To facilitate accurate understanding and effective implementation of the Guidelines， and to promote the standardized development of pharmacovigilance practices for OCPMs， this study offered a systematic interpretation based on its three core components. In the domain of risk monitoring and reporting， the paper analyzed the rationale for multi-source information integration and clarified the criteria for identifying key products and target populations for intensive monitoring. Regarding risk assessment， the Guidelines were examined from three dimensions of formulation components， medication behaviors， and population to address complex safety issues arising from medicinal constituents， irrational use， and individual susceptibility. In the area of risk control， the analysis focused on context-based interventions and dynamic closed-loop management strategies， exploring practical pathways to shift from passive response to proactive risk mitigation. Furthermore， this paper evaluated the applied value of the Guidelines and identified implementation challenges， such as insufficient capacity at the primary-care level and limited digital infrastructure. In response， the study proposed optimization strategies including establishing a dynamic updating mechanism， strengthening training at the grassroots level， and incorporating artificial intelligence to enhance pharmacovigilance capacity. This interpretation aims to provide actionable insights for marketing authorization holders （including manufacturers）， pharmaceutical distributors， healthcare institutions， and research organizations， ultimately supporting the establishment and refinement of a full lifecycle pharmacovigilance system for OCPMs.

Alzheimer’s disease （AD） is an age-related neurodegenerative disorder. Marrow-sea insufficiency serves as the fundamental basis for the onset of AD. Early syndrome differentiation-based intervention helps to delay disease progression， and improve patients’ cognitive function. Qifu yin is a representative specialized prescription for AD with marrow-sea insufficiency syndrome. Studies demonstrate that Qifu yin exerts neuroprotective effects through multiple pathways， including inhibiting the abnormal deposition of amyloid β -protein and hyperphosphorylation of tau protein， alleviating neuroinflammation， regulating oxidative stress and mitochondrial dysfunction， modulating the cholinergic system， and improving synaptic plasticity. Qifu yin combined with Western medicine such as donepezil， memantine， and butylphthalide， or combined with external therapies such as acupuncture， can effectively improve cognitive function and activities of daily living in AD patients with favorable safety. Future research should focus on the core pathogenesis and key targets of AD with marrow-sea insufficiency syndrome， provide in-depth elucidation of the scientific connotation of Qifu yin’s “tonifying the kidney to produce marrow”， and further conduct high-quality clinical studies to provide scientific evidence for the prevention and treatment of AD with marrow-sea insufficiency syndrome.

Objective To explore the potential categories of psychosocial adaptation in psoriasis patients and their differences in social alienation.Methods Using a cross-sectional survey design,convenience sam-pling was used to select 376 psoriasis patients from multiple hospitals in Shandong Province from September to December 2022.Participants completed the general information questionnaire,Psychosocial Adaptation to Illness Scale(PAIS-SR),Acceptance and Action Questionnaire-Ⅱ(AAQ-2),and General Alienation Scale(GAS).Latent profile analysis was performed using Mplus8.0 software to identify psychosocial adaptation patterns of psoriasis patients,and SPSS25.0 was used to compare social alienation differences among different adaptation groups.Results Psoriasis patients could be divided into two latent profiles:moderate psychosocial adaptation group(31.38％)and low psychosocial adaptation group(68.62％).Medical payment method,dis-ease recurrence,psoriasis subtype,disease duration,family history,skin lesion exposure,and AAQ-2 scores were identified as main influencing factors(P＜0.05).Significant differences in total GAS scores were found between the two groups(P＜0.05).Conclusion The psychosocial adaptation of psoriasis patients shows het-erogeneity and could be classified into two latent profiles.Targeted interventions should be implemented to improve psychosocial adaptation levels.

The field of post-marketing benefit-risk assessment for traditional Chinese medicine（TCM） is still in its nascent stage， lacking a universally accepted and cohesive evaluation framework and standards. This study presented a strategy developed for the benefit-risk assessment of post-marketing of TCM， and explored the critical techniques and specific implementation steps involved in the assessment process. Initially， appropriate qualitative assessment frameworks and quantitative analysis models were selected for the integrated qualitative and quantitative benefit-risk assessment. Subsequently， key technologies were outlined， including the establishment of a benefit-risk indicator system， the assignment of indicator weights， and the definition of criteria attributes. Furthermore， the implementation steps were elaborated， which involved defining decision-making issues， data collection， evaluation methodologies， variability factors， and sensitivity analysis. Finally， a case study of the benefit-risk assessment of a TCM injection for hepatitis B treatment was conducted to validate the feasibility of the proposed strategy. The objective of this research was to provide theoretical support and practical references for the development of a comprehensive post-marketing benefit-risk assessment system for TCM.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To identify key proteins associated with sudden cardiac death(SCD)caused by lethal arrhythmia and to explore their potential molecular mechanisms through integrated proteomic analysis,data mining,and bioinformatics.Methods A lethal arrhythmia model was established in 8-week-old male Sprague-Dawley rats,which were divided into an arrhythmia group and a control group.Proteomic techniques were applied to identify and quantify proteins in left ventricular myocardial tissue,and differentially expressed proteins related to arrhythmia were screened.Key proteins were further identified through comparison with target proteins in databases combined with joint analyses.Bioinformatics methods were then used to investigate potential molecular mechanisms.Results A total of 356 differentially expressed proteins were identified,including 189 upregulated and 167 downregulated.Association analysis with target gene proteins identified 71 key proteins,and a protein-protein interaction network was constructed.GO enrichment and KEGG pathway analyses indicated that these key proteins were primarily involved in ion channel dysfunction,enhanced oxidative stress,and autonomic nervous system imbalance.Conclusion This study,through the integration of proteomics,data mining,and bioinformatics,revealed critical molecular mechanisms underlying SCD associated with lethal arrhythmia.These findings provide new perspectives and potential biomarkers for forensic identification and research on the mechanisms of death.

Depression is a heterogeneous mental disorder in which the interaction between genetic susceptibility and environ-mental factors plays a key role in its pathogenesis.Although the specific mechanisms of the disease still need to be thoroughly studied and elucidated,there is now a broad consensus that epi-genetic markers have a central influence on its mechanism of ac-tion.DNA methylation of brain-derived neurotrophic factor(BD-NF)is not only regarded as a promising epigenetic biomarker of pathology,but may also help predict the efficacy of antidepres-sants.In this paper we reviewed the gene structure of BDNF and its DNA methylation regulation mechanism,and also analyzed the changes of DNA methylation of this factor in depression pa-tients and animal models,aiming to provide new ideas and theo-retical support for clinical research.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To explore the predictive value of the preoperative C-reactive protein-albumin-lymphocyte ratio(CALLY index)for short-term prognosis in patients undergoing radical gastrectomy.Methods The clinical data of 228 gastric cancer patients who underwent radical gastrectomy were retrospectively analyzed.Based on follow-up results,patients were divided into the good prognosis group(n=205)and the poor prognosis group(n=23).The differences in clinical characteristics and laboratory test results between the two groups were compared.Cox proportional hazards regression model was used to analyze the impact of CALLY index on poor prognosis in patients.The receiver operating characteristic(ROC)curve was used to determine the clinical value and optimal cutoff value of CALLY index in predicting poor prognosis of patients.Kaplan-Meier method was used to analyze the difference in disease-free survival(DFS)between patients with different CALLY index levels.Results After a follow-up of 3 to 53 months(median follow-up of 36 months),23 patients developed poor prognosis(including 3 deaths and 20 recurrences or metastases).Compared with the good prognosis group,tumors in the poor prognosis group were larger,the proportion of poorly differentiated tumors was higher and white blood cell count(WBC),neutrophil count(NEU),C-reactive protein(CRP)were higher,and lymphocyte(LYM),albumin(ALB),prealbumin,total cholesterol(TC)and CALLY indexl were lower.Multivariate Cox regression analysis showed that the elevated CALLY index(HR=0.306,95%CI:0.102-0.921,P=0.035)was an independent protective factor for poor prognosis,while larger tumors and poorly differentiated tumors were independent risk factors for poor prognosis.ROC curve analysis showed that the area under the curve for predicting poor prognosis in gastric cancer patients undergoing radical gastrectomy was 0.862(95%CI:0.810-0.904),with a sensitivity of 95.65%,specificity of 69.76%,and an optimal cutoff value of 2.21.Kaplan-Meier analysis showed that patients with a CALLY index>2.21 had a longer disease-free survival than those with a CALLY index≤2.21(mean DFS:48 months vs.42 months,Log-rank χ2=4.123,P=0.042).Conclusion The preoperative CALLY index is a simple,effective and easily accessible predictor for predicting short-term prognosis in patients undergoing radical gastrectomy.A high CALLY index indicates a better prognosis of patient.