ObjectiveStudies have shown that nuciferine has anti-cerebral ischemia effect， but the specific mechanism of action has not been elaborated. Based on the transcriptome results， the pharmacological mechanism of nuciferine against cerebral ischemia was analyzed from multiple dimensions including tissue， cell， pathological process， biological process and signaling pathway. MethodsThirty SD rats were randomly divided into the sham group， model group and nuciferine group（40 mg·kg^-1） according to weight. Except for the sham group， the model of middle cerebral artery occlusion（MCAO） was established by thread embolization method after 30 min of administration in the other two groups. Twenty-four hours after surgery， transcriptome sequencing was used to detect the gene expression profiles in the cortex penumbra of rat cerebral tissue， and gene ontology（GO） and kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis were performed for differentially expressed genes. The mechanismof nuciferine against cerebral ischemia was analyzed from 5 dimensions of tissue， cell， pathological process， biological process and signaling pathway by the transcriptome-based multi-scale network pharmacology platform（TMNP）. ResultsTranscriptome sequencing and gene quantitative analysis showed that 667 genes were significantly reversed by nuciferine. Further enrichment analysis of KEGG and GO suggested that the pathways of nuciferine involved regulating stress response， ion transport， cell proliferation and differentiation， and synaptic function. TMNP research found that at the tissue level， nuciferine could significantly improve the cerebral tissue injury caused by ischemia. At the cellular and pathological levels， nuciferine could play an anti-cerebral ischemia role by improving the state of various nerve cells， mobilizing immune cells， regulating inflammation. And at the level of biological processes and signaling pathways， nuciferine mainly acted on the processes such as vascular remodeling， inflammation-related signaling pathways， and synaptic signaling. ConclusionCombined with the results of transcriptome sequencing， gene quantitative analysis and TMNP， the mechanism of nuciferine against cerebral ischemia may be related to processes such as intervening in stress response and inflammation， affecting vascular remodeling and regulating synaptic function. These results can provide a basis and reference for further study of the pharmacological mechanism of nuciferine against cerebral ischemia.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Mental state is an important part of the normal life activities of the human body, and it is also the most external expression and the most easily obtained information of the physical condition. The normal activities of the mind depend on the normal operation of the viscera, qi, and blood, and are a unified whole that prospers together and suffers together. The theory of the five-spirit-viscera in the Yellow Emperor’s Inner Classic revealed that the normal mental activities of the human body were dominated by the five internal organs, that is, the five internal organs were the body and the five spirits were the function. And it highlighted the viewpoint that the five internal organs store the spirits and are actually one. The heart governs the spirit and belongs to the four internal organs. On this basis, Synopsis of Golden Chamber used the internal organs to diagnose and treat mental diseases, integrating the theory of the five spirits into it, forming a unique method of diagnosis and treatment with the heart as the leading factor and regulating the qi and blood of the four internal organs. It identified the pathogenesis of diseases such as pathogenic crying, lily disease, and hysteria from five levels: heart deficiency and weak qi, heart-lung disharmony, heart-liver disharmony, the heart of the loss of the spleen nourishment, and disharmony between heart and kidney. The treatment was mainly to replenish the deficiency of the viscera and eliminate the pathogens, reflecting the characteristics of regulating the mind and calming the four internal organs. This unique view on diagnosis and treatment has profoundly influenced the diagnosis and treatment theories of mental illnesses by later doctors, and is of great significance to the current clinical treatment of such illnesses.

The heat shock protein 90 (Hsp90) protein family is a cluster of highly conserved molecules that play an important role in maintaining cellular homeostasis. Hsp90 and its co-chaperones regulate a variety of pathways and cellular functions, such as cell growth, cell cycle control and apoptosis. Hsp90 is closely associated with the occurrence and development of tumors and other diseases, making it an attractive target for cancer therapeutics. Inhibition of Hsp90 expression can affect multiple oncogenic pathways simultaneously. Most Hsp90 small molecule inhibitors are in clinical trials due to their low efficacy, toxicity or drug resistance, but they have obvious synergistic anti-tumor effect when used with histone deacetylase (HDAC) inhibitors, tubulin inhibitors or topoisomerase II (Topo II) inhibitors. To address this issue, the design of Hsp90 dual-target inhibitors can improve efficacy and reduce drug resistance, making it an effective tumor treatment strategy. In this paper, the domain and biological function of Hsp90 are briefly introduced, and the design, discovery and structure-activity relationship of Hsp90 dual inhibitors are discussed, in order to provide reference for the discovery of novel Hsp90 dual inhibitors and clinical drug research from the perspective of medicinal chemistry.

Objective To study the effect of Hedysarum polysaccharides(HPS)on the expression of transforming growth factor-β,(TGF-β1),smad homologue 3 recombinant protein(smad3)and smad7 in renal tissue of db/db mice with diabetic nephropathy(DN).Methods According to their body weight,6-week-old male db/db mice were randomly divided into 5 groups:model group(0.9％NaCl 0.2 mL·d-1),positive control group(22.75 mg·kg-1·d-1 irbesartan)and experimental-H,-M,-L groups(200,100,50 mg kg-1·d-1 HPS),with 10 mice in each group;another 10 SPF grade male C57BL/6 mice of the same week were selected as normal group(0.9％NaCl 0.2mL·d-1).The mice in the 6 groups were given intragastric administration once a day for 12 weeks.The blood glucose concentration of mice was measured before treatment and at the 4th,8th and 12th week after treatment.The expression levels of TGF-β1,smad3 and smad7 were detected by Western blotting.Results After treatment,the blood glucose levels of the model group was significantly higher than those of the normal group(all P＜0.01);compared with the model group,the levels of blood glucose in the experimental-H,-M groups decreased significantly,and the differences were statistically significant(P＜0.05,P＜0.01).The relative expression levels of TGF-β,protein in normal group,model group,positive control group and experimental-H,-M groups were 0.71±0.16,1.66±0.18,1.00±0.17,0.88±0.15 and 1.23±0.15;the relative expression levels of smad3 protein were 0.89±0.32,2.26±0.35,1.24±0.31,1.05±0.30 and 1.67±0.35;the relative expression levels of smad7 protein were 1.66±0.03,0.60±0.03,1.10±0.07,1.48±0.08 and 0.97±0.09;there were statistically significant differences between the experimental-H,-M groups and the model group(P＜0.05,P＜0.01).Conclusion Hedysarum polysaccharides can improve renal fibrosis and delay the development of diabetic nephropathy by regulating the level of blood glucose,inhibiting TGF-β1,smad3 and increasing the expression of smad7.

Objective:To investigate the value of antioxidant-associated long non-coding RNAs(lncRNAs)risk score model in prognosis and the association with immune microenvironment of the gastric cancer patients.Methods:Gastric cancer transcriptome data and clinical information were downloaded from TCGA database.Antioxidant-associated lncRNAs were obtained by co-ex-pression analysis of lncRNAs and antioxidant genes.Risk score was constructed using univariate cox regression analysis and lasso regression analysis.Log-Rank test was used to compare the survival differences between two groups.Receiver operating characteristic curve(ROC)was used to assess the specificity and sensitivity of the prognostic risk score model.Nomogram was constructed com-bining risk score and clinical parameters.Immune cell infiltration was assessed by TIMER 2.0.Im-munotherapy sensitivity of each sample was analyzed at TIDE website.Results:A risk score in-cluding 12 IncRNAs was constructed by univariate cox regression analysis and lasso regression anal-ysis.The risk score was an independent factor influencing patient prognosis[HR=5.406(3.131～9.335),P＜0.001].Risk score was positively correlated with multiple suppressive immune cells infil-tration(M2 macrophage,tumor-associated fibroblast).Meanwhile,multiple aberrant expression of immune checkpoint genes and higher TIDE score were found in high-risk group,suggesting that high-risk groups may be more sensitive to immunotherapy.Conclusion:The antioxidant-associ-ated IncRNAs risk score is a good prognostic predictor and can act as a reference in individualized immunotherapy for gastric cancer patients.

ObjectiveTo simulate the microstructure and mechanical properties of tendon tissue and promote its regeneration and repair, electrospinning technology was used to prepare L-polylactic acid (PLLA) fiber membranes loaded with different nano zinc oxide contents and with oriented structures. Physical and chemical characterization and biological performance evaluation were carried out to explore their effects on tendon cell proliferation and differentiation. MethodsPreparation of PLLA fiber scaffolds and PLLA/ZnO fiber scaffolds containing different mass fractions of nano ZnO was performed using electrospinning technology. The physicochemical properties of the scaffold were characterized by scanning electron microscopy, mechanical stretching, and EDS spectroscopy. The scaffold was co-cultured with mouse tendon cells to detect its biocompatibility and regulatory effects on cell differentiation behavior. ResultsThe fiber scaffolds were arranged in an oriented manner, and zinc elements were uniformly distributed in the fibers. The tensile strength and Young’s modulus of PLLA/0.1%ZnO fiber scaffolds were significantly higher than PLLA fiber scaffolds. The number of cells on the surface of PLLA/0.1%ZnO fiber scaffold was significantly higher than that of the PLLA group, and the activity was better; mouse tendon cells exhibit directional adhesion and growth along the fiber arrangement direction. ConclusionThe oriented PLLA/0.1%ZnO fiber scaffold had excellent physicochemical properties, which can significantly promote the oriented growth, proliferation and differentiation of tendon cells. It is expected to be used for tendon tissue regeneration and repair in the future.

Objective: To explore the relationship between air pollutants and pediatric outpatient volumes in Baoshan District, Shanghai Municipality. Methods: Data of meteorological factors, air pollutants and pediatric outpatient volumes in four general hospitals were collected in Baoshan District from 2015 to 2019, and a generalized additive model was used to fit the Poisson-like distribution. The exposure-response relationship between fine particulate matter (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3) and total pediatric outpatient volumes and pediatric respiratory outpatients. Results: The median of the average daily temperature and relative humidity were 18.7 (interquartile range, 14.4) ℃ and 74.5% (interquartile range, 18.0%) in Baoshan District from 2015 to 2019, respectively. The median of the average daily concentrations of PM2.5, SO2, NO2 and O3 were 35.0 (interquartile range, 35.0), 11.0 (interquartile range, 7.0), 45.0 (interquartile range, 31.8) and 84.5 (interquartile range, 50.0) μg/m3, respectively. The median of the average daily total and respiratory pediatric outpatient volumes were 680 (interquartile range, 246) and 392 (interquartile range, 253). Spearman rank correlation analysis showed that temperature, relative humidity, PM2.5, SO2, NO2 and O3 were associated with total and respiratory pediatric outpatient volume (all P<0.05). Under the single pollutant model, the excess risk of total and respiratory pediatric outpatient volume due to PM2.5 (ER=0.318, 0.257), SO2 (ER=1.610, 2.546), and NO2 (ER=0.808, 0.839) reached the maximum effect on the same day, and the effect of O3 (ER=0.102, 0.222) reached its maximum at the first day of lag. Under the multi-pollutant model, after O3, SO2, NO2 and PM2.5 were introduced, a exposure-response relationship between air pollutants and total pediatric outpatient volumes was the largest on the sixth day after the lag (ER=0.419). There was no exposure-response relationship between air pollutants and respiratory pediatric outpatient volumes. Conclusion PM2.5, SO2, NO2 and O3 are associated with total and respiratory pediatric outpatient volumes, and the lag effects due to different air pollutants are different.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Chloropicrin is a commonly used pesticide in agricultural production. The clinical manifestations of oral poisoning patients are complex, and the lesions involve multiple organs. At present, the specific pathogenic mechanism of such poisoning is not clear, and the treatment experience is insufficient, so there are certain difficulties in clinical diagnosis, treatment and treatment. In this paper, the data of a patient with oral chloropicrin poisoning treated in Yidu Central Hospital of Weifang City in April 2023 were summarized. The patient was admitted to our hospital for treatment in time, and his condition improved after Hemopurification, methylene blue reduction, organ support, infection prevention as well as other symptomatic support. Oral chlorophenol can cause lung damage, skin and mucous membrane damage, and may have certain effects on the nervous system and kidney. Early intervention, especially blood purification, is effective.