Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

OBJECTIVE To introduce the development of an intelligent prescription review decision-support system for anti-tumor drugs and assess its clinical application outcomes. METHODS Relevant data sources， including national and local pharmaceutical administration policies， clinical practice guidelines/consensus， hospital information systems data， and genetic testing results， were integrated. Adhering to the principles of structure， standardization and dynamic updating， a knowledge base covering chemotherapeutic， targeted and immunotherapeutic agents was constructed using a dual-dimensional modeling approach that combined “drug attributes” and “clinical contexts”. This knowledge base was then embedded into the hospital’s electronic medical order system to establish the prescription review decision-support system. The application and performance of the system were evaluated at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. RESULTS A knowledge base containing 18 318 prescription review rules for anti-tumor drugs was constructed， and a closed-loop prescription review system was successfully established， encompassing pre-prescription real-time intervention， in-process interactive review， and post-prescription evaluation and analysis. From 2021 to 2024， the system generated a total of 57 879 alerts for prescriptions of five typical categories of anti-tumor drugs. For platinum-containing prescriptions， 22 577 alerts were generated， with Cisplatin for injection （lyophilized） being the most frequently alerted drug （13 445 alerts）， and “ototoxicity risk due to combined use” alerts remained high （7 682 alerts）. For methotrexate-containing prescriptions， 3 721 alerts were recorded， primarily related to “precaution-related issues” （76.4%， 2 843/3 721）. For doxorubicin-containing prescriptions， 17 301 alerts were triggered， primarily related to “dosage and administration” （14 315 alerts）. For human epidermal growth factor receptor 2-targeted agents-containing prescriptions， 1 007 alerts were issued， mostly related to “reimbursement restrictions” （956 alerts）. For programmed death-1/programmed death-ligand 1 inhibitors-containing prescriptions， the alerts increased year by year， totaling 13 273 alerts， primarily related to “inappropriate indication” （9 118 alerts）. Over the 4 years， the physician response rates to system alerts were 21.4%， 27.1%， 33.5% and 51.6%， respectively. CONCLUSIONS An intelligent decision-support system for anti-tumor drug prescription review， encompassing a closed-loop process of “real-time pre-event intervention， interactive in-event prescription review， post-event evaluation and analysis”， has been successfully constructed and implemented throughout the entire workflow. There is a discernible trend in this hospital， where the focus on monitoring anti-tumor drugs is shifting towards immunotherapy drugs. Additionally， the acceptance rate of physicians regarding prescription review opinions has been steadily increasing year by year.

Monoamine neurotransmitters mainly include serotonin,dopamine,epinephrine,and norepinephrine.They play an indispensable regulatory role in key physiological activities such as emotion,sleep,and memory within the central nervous system.Precise detection of these neurotransmitters holds great significance in the field of neuroscience research.Detection methods for monoamine neurotransmitters encompass high-performance liquid chromatography,mass spectrometry,capillary electrophoresis,fluorescence spectroscopy,and electrochemical methods,etc.Compared with other methods,electrochemical methods offer advantages such as high sensitivity,good selectivity,low cost,strong portability,convenient operation,and capability for in vivo real-time detection.This article reviewed recent research progress in electrochemical detection of monoamine neurotransmitters,focusing on a retrospective and summary from three aspects:sensor electrode materials,detection of various monoamine neurotransmitters,and in vivo real-time analysis.Furthermore,the future development of electrochemical sensors for monoamine neurotransmitters was prospected.

Objective To analyze the literature in the field of body fluid identification collected in the Web of Science Core Collection(WoSCC)database from 2000 to 2023,and explore the research sta-tus,hotspots and development trends in this field.Methods The CiteSpace software was utilized to conduct a visual analysis of the literature in the field of body fluid identification included in the WoSCC database from 2000 to 2023.Meanwhile,a bibliometric analysis of the annual publication vol-ume,journal distribution,national contribution,research institutions,author collaboration,and keywords of the literature was conducted.Results A total of 715 papers on forensic body fluid identification were included,and the annual publication volume showed a continuous and stable growth.Among the 55 countries(regions)that published papers,the United States ranked first with 174 papers,followed by China with 107 papers.In terms of journal distribution,Forensic Science International:Genetics had the largest number of papers,which accounted for 20%of the total papers.In terms of author collaboration,a total of 2 079 authors participated in body fluid identification research,and the author collaboration network showed a clearly clustered distribution.The keywords analysis revealed that re-search hotspots focused on traditional methods,specific RNA molecular markers,DNA methylation,spectroscopy,and the application of microbiomics.Conclusion Research in the field of forensic body fluid identification is thriving,and research institutions and teams should strengthen their collaboration.Establishing unified result interpretation standards and systems and exploring the multiple biomarkers combined application methods will be the research hotspots and important directions for future research in this field.

ObjectiveTo identify key factors influencing cognitive function in the elderly, including traditional Chinese medicine (TCM) constitutional classification, and to rank their relative importance.MethodsWe used cross-sectional data from seven geographical regions across mainland China. The Changsha version of the Montreal Cognitive Assessment was used to assess cognitive function. A “least absolute shrinkage and selection operator” (LASSO) model, multivariate linear regression analysis, and random forest (RF) model were used. Subgroup analyses were performed to examine the correlation between key TCM constitution types and cognitive function in different population subgroups.ResultsA total of 24 803 individuals aged 60 and above were included in the study. We selected 18 influential factors using the LASSO model. Higher education, being married, and having insurance were positively correlated with cognitive function in the elderly (all P .05). In contrast, poor sleep, vision impairment, hearing impairment, basic activities of daily living disability, instrumental activities of daily living disability, depression, hypertension, coronary heart disease, diabetes, stroke, yang-deficiency constitution (YADC), yin-deficiency constitution (YIDC), qi deficiency constitution (QDC), and blood stasis constitution (BSC) were negatively correlated with cognitive function (all P .05). YIDC and BSC affected all dimensions of cognitive function (all P .05). YADC mainly affected attention, language, abstraction (verbal analogies), memory, and orientation to time and place dimensions (P .001). QDC mainly affected language and abstraction (verbal analogies) dimensions (P .05). The negative correlations between BSC, YADC, YIDC, and QDC scores and cognitive function revealed statistically significant differences across most subgroups. The RF model identified education, BSC, and poor sleep quality as the three most influential factors in our study.ConclusionBSC, YADC, YIDC, and QDC were associated with cognitive decline in the elderly. Our findings provide new perspectives and significant references for interventions for early-stage cognitive disorders.

POEMS syndrome is a rare condition associated with plasma cell disorders， and it often involves multiple systems and has diverse clinical manifestations. This article reports two cases of POEMS syndrome with hepatosplenomegaly as the initial manifestation. During the course of the disease， the patients presented with lower limb weakness， hepatosplenomegaly， lymph node enlargement， ascites， hypothyroidism， positive M protein， and skin hyperpigmentation， and ¹⁸F-FDG PET-CT imaging revealed bone lesions mainly characterized by osteolytic changes and plasma cell tumors. There was an increase in the serum level of vascular endothelial growth factor. The patients were finally diagnosed with POEMS syndrome， and the symptoms were relieved after immunomodulatory treatment.

In recent years, the incidence of dry eye disease(DED)is increasing, positioning it as one of the most prevalent diseases affecting the ocular surface. Inflammatory response is the pathological basis of DED, involving various inflammatory mediators and inflammatory signaling pathways. Consequently, anti-inflammatory treatment emerges as a fundamental strategy for preventing and managing DED. This review summarizes the classic inflammatory factors involved in the development and progression of DED, including interleukins, tumor necrosis factor, matrix metalloproteinases, chemokines, and cell adhesion molecules. It also discusses the relevant inflammatory signaling pathways: the MAPKs pathway, NF-κB pathway, Wnt pathway and TLR pathway. Additionally, this review addresses the mechanisms of action and alterations in relevant biomarkers associated with current first-line recommended anti-inflammatory therapies, including corticosteroids, immunosuppressants, nonsteroidal anti-inflammatory drugs, and traditional Chinese medicine approaches to inflammation management. This comprehensive overview aims to enhance understanding of the inflammatory mechanisms underlying DED while exploring future therapeutic prospects.

In recent years, the incidence of dry eye disease(DED)is increasing, positioning it as one of the most prevalent diseases affecting the ocular surface. Inflammatory response is the pathological basis of DED, involving various inflammatory mediators and inflammatory signaling pathways. Consequently, anti-inflammatory treatment emerges as a fundamental strategy for preventing and managing DED. This review summarizes the classic inflammatory factors involved in the development and progression of DED, including interleukins, tumor necrosis factor, matrix metalloproteinases, chemokines, and cell adhesion molecules. It also discusses the relevant inflammatory signaling pathways: the MAPKs pathway, NF-κB pathway, Wnt pathway and TLR pathway. Additionally, this review addresses the mechanisms of action and alterations in relevant biomarkers associated with current first-line recommended anti-inflammatory therapies, including corticosteroids, immunosuppressants, nonsteroidal anti-inflammatory drugs, and traditional Chinese medicine approaches to inflammation management. This comprehensive overview aims to enhance understanding of the inflammatory mechanisms underlying DED while exploring future therapeutic prospects.

ObjectiveBased on analytic hierarchy process（AHP）-criteria importance through intercriteria correlation（CRITIC） hybrid weighting method， grey relational analysis and backpropagation artificial neural network（BP-ANN）， to optimize the water extraction process of Qizhi prescription， so as to provide an experimental basis for optimization of the preparation process of this prescription and the establishment of quality standards. MethodsL₉（3⁴） orthogonal test was employed， and the AHP-CRITIC hybrid weighting method was utilized to determine the weight coefficients of the quality fractions of various components， including astragaloside Ⅳ， polygalaxanthone Ⅲ， calycosin-7-O-β-D-glucoside， tenuifolin， and 3，6′-disinapoylsucrose， as well as the dry extract yield. The comprehensive score of each factor level combination in the orthogonal test were calculated as evaluation indicator to select the optimal extraction process parameters. The effects of extraction times， extraction time， and solvent dosage on the aqueous extraction process of the formula were investigated through intuitive analysis， variance analysis， and grey relational analysis. Meanwhile， a BP-ANN model was established to reverse-predict the optimal extraction process parameters of Qizhi prescription， and the optimized process parameters were validated. ResultsThe weight coefficients of the five index components（astragaloside Ⅳ， tenuifolin， calycosin-7-O-β-D-glucoside， polygalaxanthone Ⅲ， and 3，6′-disinapoylsucrose） and dry extract yield were 25.7%， 20.82%， 16.41%， 12.45%， 15.96% and 8.67%， respectively. The optimized extraction process parameters were extracted 3 times with 8， 6， 6 times the amount of water， each time for 1 h. The network prediction results of BP-ANN test samples were consistent with the orthogonal test results， and the mean square error（MSE） of the predicted and measured values of the network was <1%. The water extraction process of Qizhi prescription analyzed and predicted by relevant mathematical models was stable and feasible， which could effectively improve the extraction efficiency of the active ingredients of Astragali Radix and Polygalae Radix， and the average comprehensive score of the validation test was 90.85 with the relative standard deviation（RSD） of 1.55%. ConclusionThis study establishes a water extraction process for compound Qizhi granules， and the optimized extraction process can effectively improve the extraction efficiency of active ingredients， which provides useful references for the optimization of preparation process and the establishment of quality standards for other clinical experience formulas.

Ganoderic acid is a class of lanostane-type triterpenoids found in Ganoderma species, and is one of the most important pharmacologically active components in G. lucidum, exhibiting antioxidant, anti-neuropsychiatric, anti-tumor, and immune-enhancing properties. The content of ganoderic acid in G. lucidum is very low, and the traditional extraction process is complex, yielding minimal amounts at high cost. The biosynthetic pathway of G. lucidum triterpenoids(GLTs), including the synthesis of different structural forms of ganoderic acid from lanosterol, as well as the molecular regulatory mechanisms involving key regulatory enzyme genes and their functions, are not yet fully understood. With the continuous development of synthetic biology technologies, there has been a deeper understanding of the biosynthesis and metabolic regulation pathways of ganoderic acid and its derivatives at the molecular level. Research has explored the key regulatory enzyme genes related to ganoderic acid biosynthesis and their functions. Moreover, through the optimization of synthetic biology and culture conditions, large-scale production and preparation of GLTs at the cellular level have been achieved. This paper reviews and analyzes the latest research progress on the biosynthesis pathways and metabolic regulation of GLTs, focusing on the configuration of ganoderic acid and its derivatives, the biosynthetic pathways, key enzyme genes, transcription factors related to ganoderic acid biosynthesis, signal transduction mechanisms, and factors affecting triterpenoid biotransformation. This review is expected to provide a theoretical basis and technical reference for improving the efficient production of triterpenoid pharmacological components and the exploitation and utilization of G. lucidum resources.
Triterpenes/chemistry* ; Reishi/chemistry* ; Biosynthetic Pathways ; Lanosterol