OBJECTIVE To establish a full-cycle management model for type 2 diabetes mellitus （T2DM） patients led by clinical pharmacists. METHODS Based on literature research， a basic framework and items of full-cycle management model led by clinical pharmacists were initially formulated. The Delphi method was adopted to conduct questionnaire inquiries among 26 experts to determine the specific implementation items of the model. The analytic hierarchy process （AHP） method was used to determine the weight values of items at all levels， and the reliability and validity of the model items were analyzed. RESULTS The recovery rates of the two rounds of expert consultation questionnaires were 86.67% and 100%， respectively， and the expert authority coefficient was 0.88. Kendall’s concordance coefficients of the tertiary-level items were 0.064 and 0.084， respectively， and the P values from the χ 2 tests were all less than 0.05； the consistent ratios of the judgment matrices for all levels of AHP model were all less than 0.1. The established full-cycle management led by clinical pharmacists comprised three primary-level items （pharmacy service pathway for T2DM patients during hospitalization， pharmacy management pathway for hypoglycemia in T2DM inpatients， and the pharmacy follow-up pathway for T2DM discharged patients， with weights of 0.098， 0.568 and 0.334， respectively）， twelve secondary-level items （e.g. pharmaceutical care during hospitalization for 1 to 2 days， admission assessment and education， with weights ranging from 0.143 to 0.333） and thirty-seven tertiary-level items （e.g. assessment of medication compliance， verification of the medication plan for discharge， with weights ranging from 0.068 to 0.750）. Cronbach’s α coefficients for primary-level items and the overall questionnaire were 0.762， 0.879， 0.928 and 0.951， respectively. The item-level and scale-level content validity indexes were 0.967 and 0.808， respectively. CONCLUSIONS A full-cycle management model for T2DM patients led by clinical pharmacists has been constructed successfully， demonstrating high scientificity and reliability.

Nasopharyngeal carcinoma （NPC） is a malignant tumor originating from the mucosal epithelium of the nasopharynx. In recent years， its incidence and mortality rates have shown a continuous upward trend， and there is still a lack of therapeutic regimens with both favorable efficacy and safety in clinical practice. Mitogen-activated protein kinase （MAPK） signaling pathway plays a key regulatory role in biological processes such as cell proliferation， differentiation， apoptosis and invasion. It is widely involved in the occurrence and progression of NPC， and serves as an important target in the research field of anti-NPC therapy. This article systematically elaborates on the mechanism of action of the MAPK signaling pathway in NPC， and reviews the research status regarding the anti-NPC effect of active components of traditional Chinese medicine （TCM） and TCM compound prescriptions by regulating this signaling pathway. The results show that TCM active components， including flavonoids （luteolin， maackiain， baicalein， etc.）， alkaloids （picrasidine Ⅰ， tetrandrine， etc.）， terpenoids （bakuchiol， cantharidic acid）， as well as traditional Chinese medicine compound formulas （such as Biyan jiedu capsules and Yiqi jiedu formula） can exert effects including inducing autophagy and apoptosis of NPC cells， promoting pyroptosis， reversing drug resistance， blocking epithelial-mesenchymal transition， weakening cell stemness and arresting cell cycle progression by regulating the MAPK signaling pathway， thereby inhibiting the occurrence and development of NPC through multiple pathways.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

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.

The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis （VMC）. It has the functions of tonifying Qi， nourishing the heart，calming the mind， and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However，the understanding of its efficacy evidence， advantageous aspects， dosage and administration， and medication safety remains insufficient in clinical practice. Therefore，the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid （hereinafter referred to as consensus） was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine，successively completing multiple tasks such as the consensus project initiation，determination of clinical problems，evidence search and evaluation，formation of recommendation opinions and consensus suggestions，solicitation of opinions，peer review， submission for review and release， and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions，clarifying the clinical positioning，efficacy advantages，syndrome differentiation，dosage and administration，combination therapy，timing of medication，adverse reactions，contraindications， and precautions of Qidong Yixin oral liquid，indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease，providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23， 2024. Standard number：GSCACM-376-2024.

To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

Objective To analyze the current status, hotspots, and trends of global disease burden research from 2015 to 2024 based on bibliometric methods, and to provide references for public health policy-making and academic research. Methods Disease burden-related literature was retrieved from the Web of Science Core Collection database, and visual analysis was conducted using CiteSpace 6.2.R4 software, including publication volume, subject distribution, national/institutional collaboration, author co-citation networks, keyword co-occurrence, clustering, and burst analysis. Results A total of 1 852 valid articles were included. The annual publication volume showed a growing trend, and entered a rapid growth phase after 2020 (with an average annual growth rate of 17.24%). The United States, China, the United Kingdom, and Germany had the highest publication volumes, with public health, internal medicine, and epidemiology being the main subject areas. The author co-citation network indicated that Younossi ZM, Lozano R, and others were core authors, while the Chinese University of Hong Kong and Aga Khan University were at the core of the institutional collaboration network. High-frequency keywords were focused on ^“prevalence^”, ^“mortality^”, and ^“risk factors^”, and clustering analysis formed seven themes, including disease burden assessment methods (such as disability-adjusted life years), specific diseases (such as chronic obstructive pulmonary disease), and data resources (such as National Health and Nutrition Examination Survey). Burst analysis divided the research into three stages: 2015-2017 focused on infectious diseases (such as hepatitis C), 2018-2019 shifted to chronic non-communicable diseases (such as metabolic syndrome), and 2020-2024 focused on emerging fields such as viral-related diseases and cancer treatment. Conclusion Global disease burden research exhibits characteristics of multidisciplinary crossover. In the future, it is necessary to strengthen interdisciplinary collaboration, integrate big data and artificial intelligence technologies, focus on emerging health issues, and promote the transformation of research findings into policy.

ObjectiveTo establish a reliable chronic obstructive pulmonary disease (COPD) mouse model based on a self-developed multichannel automatic control system for long-term continuous cigarette smoke exposure in small animals using a novel continuous cigarette smoke exposure method, and to conduct phenotypic evaluation and analysis, thereby providing an animal experimental basis for investigating COPD pathogenesis and prevention strategies. MethodsTwenty male C57BL/6J mice aged 6 weeks were randomly and equally divided into a control group and a model group. The model group (n=10) underwent 6 h of continuous cigarette smoke exposure daily (6 cigarettes per day for 12 consecutive weeks), while the control group (n=10) received no intervention. Body weight was monitored biweekly. Post-exposure, in vivo micro-CT imaging was performed. After euthanasia, serum and bronchoalveolar lavage fluid (BALF) levels of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were quantified by ELISA. Lung tissues underwent H&E and Masson's trichrome staining to observe changes in lung morphology and inflammatory cell infiltration, and the mean linear intercept (MLI) was calculated, thereby comprehensively evaluating the clinical features of COPD in the mouse model. ResultsCompared with the control group, the model group showed significantly reduced body weight (P<0.01) from the fourth week. Compared with the control group, IL-6 level in the serum and BALF of the model group increased by 27.2% and 140.0%, respectively (P<0.01). TNF-α level in the serum and bronchoalveolar lavage fluid of the model group increased by 16.7% (P<0.01) and 19.3% (P<0.05), respectively. Histopathological examination revealed alveolar wall thinning, septal rupture, emphysematous bullae formation, reduced alveolar count, bronchial wall thickening with lumen narrowing, and inflammatory cell infiltration. MLI was significantly elevated (P<0.01). Masson's staining confirmed collagen deposition and bronchial remodeling. Micro-CT demonstrated localized high-density shadows exhibiting typical features of chronic bronchitis. Conclusion The self-developed device enables long-term continuous smoke exposure, and the successfully established COPD mouse model exhibits pathological features highly consistent with clinical manifestations, offering an efficient and reliable tool for COPD research.

ObjectiveTo investigate the effects of Maimendong Yinzi （MMDYZ） on cough with Yin deficiency and lung heat syndrome and explore its potential mechanism of action. MethodsForty-eight Institute of Cancer Research （ICR） mice were randomly divided into a control group， a model group， a Baihe Gujin Tablet （BHGJP） group （1.36 g·kg^-1）， and low-dose， medium-dose， and high-dose MMDYZ groups （5， 10， 20 g·kg^-1·d^-1， based on the weight of crude drug）， with eight mice in each group. The mouse model of cough with Yin deficiency and lung heat syndrome was prepared by a combination of smoke exposure， nasal drip of lipopolysaccharide （LPS）， intragastric gavage with thyroxine， and capsaicin atomization. After successful modeling， drug interventions were administered for seven days. During modeling， the mice were observed for changes in general status， anal temperature， fecal water content， and water intake. After medication， the above indicators were evaluated again， along with assessments of spontaneous activity， cough sensitivity， lung function， lung index， and tracheal phenol red secretion. Bronchoalveolar lavage fluid （BALF） was analyzed for cell differential counts， and the level of cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， tumor necrosis factor-α （TNF-α）， and interleukin-6 （IL-6） in serum was measured via enzyme linked immunosorbent assay （ELISA）. Lung injury was assessed via hematoxylin-eosin （HE） staining. Network pharmacology was employed to predict the potential mechanism of MMDYZ in alleviation cough with Yin deficiency and lung heat syndrome. Western blot （WB） was used to measure protease-activated receptor1 （PAR1） and GTPhase α_i subunit （Gα_i） protein expressions in lung tissue. ELISA was used to determine lung cAMP content， and immunohistochemistry （IHC） was employed to evaluate transient receptor potential vanilloid subtype 1 （TRPV1） expression. ResultsCompared with the control group， the model group exhibited significantly increased water intake and anal temperature and significantly decreased fecal water content （P<0.05）. The total distance traveled in 5 min and the central zone duration were reduced， while standing frequency significantly increased （P<0.05）. Cough sensitivity and enhanced pause （PenH） were elevated. Peak expiratory flow （PEF） significantly declined （P<0.05）. BALF neutrophil （NEU） and white blood cell （WBC） counts rose. Serum cAMP and cAMP/cGMP ratio significantly increased， and cGMP significantly decreased （P<0.05）. Serum TNF-α and IL-6 levels were significantly elevated （P<0.05）. The lung injury was obvious， and the lung index was significantly elevated （P<0.05）. Compared with the model group， the medium-dose and high-dose MMDYZ groups and the BHGJP group showed significantly improved indicators mentioned above. Additionally， network pharmacology suggested that MMDYZ might alleviate cough with Yin deficiency and lung heat syndrome via cAMP， hypoxia inducible factor-1 （HIF-1）， and TNF signaling pathways. WB， ELISA， and IHC revealed that， compared with the control group， the model group exhibited significantly upregulated PAR1， Gα_i， and TRPV1 expressions and significantly downregulated cAMP in lung tissue （P<0.05）. Compared with the model group， MMDYZ reduced PAR1 （P<0.01）， Gα_i （P<0.05）， and TRPV1 （P<0.01） while increasing cAMP level （P<0.01）. ConclusionMMDYZ may alleviate cough with Yin deficiency and lung heat syndrome by modulating the PAR1/Gα_i/cAMP pathway and TRPV1 expression.

ObjectiveTo explore the effects of Wumeiwan on liver metastasis and lung metastasis of colorectal cancer and its potential mechanism. MethodsFirstly， mice were randomized into control， low-dose （20 g·kg^-1） Wumeiwan， high-dose （40 g·kg^-1） Wumeiwan， and paclitaxel （10 mg·kg^-1） groups. Secondly， liver metastasis and lung metastasis models of colorectal cancer were established in mice. After 4 weeks of intervention， the body weight of each mouse was recorded， and the lung weight， liver weight， and survival time of mice with metastatic colorectal cancer were determined. Hematoxylin-eosin （HE） staining was employed to detect the effects of Wumeiwan on liver metastasis and lung metastasis. Real-time PCR was employed to determine the mRNA levels of M1 and M2 macrophage markers in the liver tissue. Finally， the content of M1 macrophage markers CD80 and CD86 in the liver tissue was measured by flow cytometry. ResultsCompared with the control group， Wumeiwan and paclitaxel reduced the body weight （P<0.01） and liver weight （P<0.01） and prolonged the survival of the mouse model of liver metastasis of colorectal cancer （P<0.01）. In the mouse model of lung metastasis of colorectal cancer， Wumeiwan and paclitaxel also reduced the body weight （P<0.01） and lung weight （P<0.01） and extended the survival time （P<0.01）. Histopathological results showed that compared with the control group， Wumeiwan inhibited the liver and lung metastases of colorectal cancer. Real-time PCR results showed that compared with the control group， Wumeiwan upregulated the mRNA levels of M1 macrophage markers IL-1β， IL-6， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and prostaglandin-endoperoxide synthase 2 （PTGS2） in the liver and lung tissue of mice with liver metastasis and lung metastasis of colorectal cancer （P<0.01）. Meanwhile， Wumeiwan downregulated the mRNA levels of M2 macrophage markers Arg1， CD163， and CD206 （P<0.01）. Meanwhile， the flow cytometry results showed that compared with the control group， Wumeiwan increased the content of CD86 and CD80 （P<0.01）. In addition， immunohistochemical results showed that Wumeiwan promoted the expression of CD86 and inhibited the expression of CD206 in the liver and lung tissue of mice with liver metastasis and lung metastasis. ConclusionWumeiwan can inhibit the liver metastasis and lung metastasis of colorectal cancer by promoting the M1 polarization of macrophages in the liver and lung of the model mice.