Uveal melanoma(UM)is the most common primary intraocular malignancy in adults, characterized by high invasiveness and unique metastatic biological features. Although local treatments(such as proton beam therapy and brachytherapy)can effectively control the primary lesion, approximately 50% of patients eventually develop distant metastasis, with the liver being the primary target organ(occurring in 90% of cases). This highlights a paradigm shift in treatment focus from mere local control to systemic prevention and management. For metastatic UM(mUM), current treatment strategies encompass biomarker-guided molecular targeted therapy, immunotherapy(including Tebentafusp, vaccines, and oncolytic virus therapy), and liver-directed therapy. Focusing on the synergy between local and systemic prevention and control, this article systematically elaborates on the precision local treatment for primary UM, the decision-making pathway for systemic treatment of metastatic UM based on molecular subtyping, the integration of local and systemic therapies for liver metastases, and the translational value of nanomedicine in addressing therapeutic bottlenecks. It provides insights for optimizing clinical management of mUM and developing novel therapeutic strategies.

ObjectiveTo improve the quality of artificial cultivation of the source plant of Fritillariae Cirrhosae Bulbus （FCB）， an XGBoost regression model was constructed based on the Group-Lasso method to screen the characteristic variables. The key factors affecting the quality formation of the source plant were then analyzed. MethodsFirstly， with the total alkaloid content （TAC） of FCB as the dependent variable， explanatory characteristic variables were screened from the influencing factors of TAC in the literature studying FCB quality from 2010 to 2024 based on the Group-Lasso regression algorithm. The screening results were verified by ten-fold cross-validation. Secondly， the present study established an XGBoost regression model to analyze the influencing factors of the quality formation of the source plant， and calculated the importance score of the explanatory characteristic variables. ResultsGroup-Lasso regression removed 2 numerical independent variables and retained the remaining 5 categorical variables and 6 numerical variables； cross-validation also showed that the number of screening variables is 11， with the corresponding optimal λ parameter value of 0.000 515 225 1. The results of XGBoost regression model confirmed the geographical origin as the most critical factor affecting the quality formation of source plants， followed by growth status and soil type， and then by mean temperature of the warmest month， original plant type， mean annual temperature， and altitude. Climate type， precipitation， frost-free period and relative humidity of the geographical origin exerted little effect. ConclusionThe prediction tools of Group-Lasso and XGBoost regression analysis models were preliminarily established for the quality formation of FCB. These models overcame the multicollinearity among numerical independent variables， and explored the geographical distribution of TAC and its key driving factors. The suitable cultivation areas can be selected or wild-tending bases established based on these key factors， thereby effectively avoiding blind introduction and cultivation. Finally， the present study provided a reference for the development and utilization of FCB， a theoretical basis for the market expansion and quality regulation， and a direction for the sustainable development and protection of new and efficient FCB resources.

Microplastics(particles<5 μm in diameter),generated through plastic processing or natural degradation,have emerged as novel environmental contaminants with increasing threats to ecosys-tems and human health.Recent studies have demonstrated the accumulation of microplastics in various environmental matrices,human tissues and even placentas,highlighting the urgent need to investigate their health effects.These particles enter the human system primarily through dietary intake and water consumption,yet critical knowledge gaps remain regarding their bioaccumulation potential,toxicological profiles,and synergistic interactions with co-existing environmental contaminants.The Drosophila mela-nogaster(fruit fly),a well-established model organism,offers distinct advantages for contaminant toxicity assessment,including a compact life cycle,small body size,rapid reproduction,ease of laboratory maintenance,and extensive availability of transgenic strains.In particular,its genome has a high degree of homology with the human genome,which further enhances its scientific relevance for toxicological studies.In this review,we summarize the advantages of Drosophila models in microplastic toxicity studies,with particular emphasis on recent advances in understanding intestinal toxicity,neuro toxicity,genotox-icity,reproductive toxicity,developmental toxicity,and transgenerational toxicity.We point to critical research gaps that require urgent investigation,including the bioaccumulation dynamics of microplas-tics,metabolic transformation and elimination pathways,multi-pollutant interaction effects,molecular mechanisms of toxicity,and comprehensive health risk assessment frameworks.The review aims to provide data for elucidating the mechanisms of microplastic toxicity and formulating evidence-based prevention strategies.

Epidemiological investigations and clinical studies have shown that inappropriate ambient temperatures (high and low temperatures) are the independent risk factors for ischemic stroke, but their underlying physiological mechanisms are not fully understood. This article systematically reviews the potential mechanisms by which inappropriate ambient temperatures promote the occurrence of ischemic stroke through multiple pathways, such as activating the sympathetic-renin-angiotensin system, inducing systemic inflammation and oxidative stress, damaging the integrity of the intestinal barrier and blood-brain barrier, and disrupting coagulation-fibrinolysis balance.

Objective:To compare the degranulation levels of basophils in peripheral blood mononuclear cell (PBMC) and granulocyte populations between healthy subjects and patients with sepsis, and to explore the underlying mechanisms. Additionally, plasma cytokine levels were measured in these volunteers.Methods:Peripheral blood samples were collected from both healthy individuals and sepsis patients. The degranulation level of basophils in sepsis patients and its potential mechanisms were examined. Plasma levels of IL-1β, IL-9, and IL-10 were detected, and Pearson correlation analysis was performed to assess the relationship between degranulated basophils in the granulocyte population and IL-9 levels.Results:Compared with healthy subjects, sepsis patients showed a reduction in basophil percentages within PBMC and granulocyte populations by 94.8% and 37.9%, respectively ( Z = -6.441, P < 0.05; Z = -2.681, P < 0.05). In contrast, both the proportion and number of degranulated basophils in the granulocyte population were increased (both P < 0.05). Plasma levels of IL-1β, IL-9, and IL-10 were significantly elevated in sepsis patients--by 80.6%, 36.7%, and 11.9-fold, respectively ( Z = -4.258, P < 0.05; Z = -3.606, P < 0.05; Z = -4.814, P < 0.05). Moreover, plasma IL-9 levels were highly correlated with both the percentage and count of degranulated basophils in the granulocyte population (both P < 0.05). GO and KEGG enrichment analyses revealed cytological changes and potential mechanisms involving basophils in the PBMC of sepsis patients. Conclusions:The decreased total count of basophils in sepsis patients may elevate the risk of secondary infection. Degranulated basophils in the granulocyte population may contribute to excessive inflammatory responses through IL-9 secretion.

Microplastics(particles<5 μm in diameter),generated through plastic processing or natural degradation,have emerged as novel environmental contaminants with increasing threats to ecosys-tems and human health.Recent studies have demonstrated the accumulation of microplastics in various environmental matrices,human tissues and even placentas,highlighting the urgent need to investigate their health effects.These particles enter the human system primarily through dietary intake and water consumption,yet critical knowledge gaps remain regarding their bioaccumulation potential,toxicological profiles,and synergistic interactions with co-existing environmental contaminants.The Drosophila mela-nogaster(fruit fly),a well-established model organism,offers distinct advantages for contaminant toxicity assessment,including a compact life cycle,small body size,rapid reproduction,ease of laboratory maintenance,and extensive availability of transgenic strains.In particular,its genome has a high degree of homology with the human genome,which further enhances its scientific relevance for toxicological studies.In this review,we summarize the advantages of Drosophila models in microplastic toxicity studies,with particular emphasis on recent advances in understanding intestinal toxicity,neuro toxicity,genotox-icity,reproductive toxicity,developmental toxicity,and transgenerational toxicity.We point to critical research gaps that require urgent investigation,including the bioaccumulation dynamics of microplas-tics,metabolic transformation and elimination pathways,multi-pollutant interaction effects,molecular mechanisms of toxicity,and comprehensive health risk assessment frameworks.The review aims to provide data for elucidating the mechanisms of microplastic toxicity and formulating evidence-based prevention strategies.

This paper used the Experimental Teaching Management Center as an example to explore the transformation practices of experimental technicians in job responsibilities, team structure, teaching and research capabilities, performance mechanisms, and collaborative education systems. The article systematically analyzed the advantages of the experimental technical team in resource openness, technical support, large instrument management, and multi-team collaboration, and summarized the practical performance through data on project approvals, competition awards, research achievements, and student growth. Additionally, it identified key challenges, including insufficient training, incomplete incentive mechanisms, and the need for improved resource coordination. To address these challenges, the study recommends the continuous enhancement of personnel capacity building, the reform of assessment systems, and the reinforcement of cross-departmental collaboration. This study provides a reference for medical schools to construct the practical path of experimental technical teams participating in the cultivation of innovative and entrepreneurial talents.

This paper used the Experimental Teaching Management Center as an example to explore the transformation practices of experimental technicians in job responsibilities, team structure, teaching and research capabilities, performance mechanisms, and collaborative education systems. The article systematically analyzed the advantages of the experimental technical team in resource openness, technical support, large instrument management, and multi-team collaboration, and summarized the practical performance through data on project approvals, competition awards, research achievements, and student growth. Additionally, it identified key challenges, including insufficient training, incomplete incentive mechanisms, and the need for improved resource coordination. To address these challenges, the study recommends the continuous enhancement of personnel capacity building, the reform of assessment systems, and the reinforcement of cross-departmental collaboration. This study provides a reference for medical schools to construct the practical path of experimental technical teams participating in the cultivation of innovative and entrepreneurial talents.

OBJECTIVE To explore the mechanism of joint injection of Caulophyllum robustum Maxim in the treatment of rheumatoid arthritis(RA).METHODS The targets of main saponins in C.robustum Maxim were obtained from Swiss Target Prediction,and the RA treatment targets collected from the GeneCards and OMIM database were intercrossed to establish an interaction network based on network pharmacology.Gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed.RA model was established by injecting complete Freund's adjuvant into the back of rabbits for verification.The arthritis index score,knee diameter and pain threshold of rabbits were compared.Pathological examination of rabbit synovial tissue was carried out.The levels of tumor necrosis factor α(TNF-α),interleukin-1β(IL-1β)and IL-6 in rabbit serum and synovial fluid were detected.The phosphorylation levels of tyrosine protein Janus kinase 2(JAK2)and signal transducer and activator of transcription 3(STAT3)proteins in rabbit synovium were detected.RESULTS Network pharmacology identified 143 intersection targets between the drug and RA.After the construction of the"drug-component-target"network,the core components of the network were echinocystic acid,oleanolic acid,hederagenin,cauloside A and cauloside C,etc.Additionally,the top 10 core targets of PPI network were SRC,STAT3,MAPK1,EGFR,PIK3CA,MAPK3,GRB2,JUN,PTPN11 and JAK2.The results of KEGG pathway analysis showed that the JAK/STAT signaling pathway was mainly involved in the treatment of RA by joint injection of C.robustum Maxim.Results of validation test showed that compared with model group,joint injection of C.robustum Maxim could reduce the swelling of rabbit knee joint,relieve the hyperplasia of synovial layer,reduce the hyperplasia of lower connective tissue,and reduce the number of inflammatory cells and capillaries.The arthritis index score(excluding low-dose group of C.robustum Maxim),knee diameter,the levels of TNF-α,IL-1β and IL-6 in serum and synovial fluid,and the protein phosphorylation levels of JAK2 and STAT3 were decreased significantly(P＜0.05 of P＜0.01),while the pain threshold were reduced significantly(P＜0.01).CONCLUSIONS The core components that may alleviate the inflammatory response of RA in joint injection of C.robustum Maxim could include echinocystic acid,oleanolic acid,hederagenin,cauloside A,and cauloside C.Its mechanism may be related to the inhibition of JAK/STAT signaling pathway and the reduction of inflammatory responses.

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality rate.We aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and CAP. METHODS:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April 2020.Patients were allocated to the DM or non-DM group and paired with propensity score matching.Baseline characteristics and clinical outcomes up to 90 days were evaluated.The primary outcome was the 10-day mortality.Receiver operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical analysis. RESULTS:Among 152 enrolled patients,60 pairs were successfully matched.There was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml vs.median 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of 0.747.The cut-offvalue,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,respectively.Multivariate Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with DM. CONCLUSION:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.