OBJECTIVE: To develop a user-friendly visualization application for the automatic annotation of Human Phenotype Ontology (HPO) terms based on large language models and retrieval-augmented generation (RAG) technology, and to validate its performance in an authoritative case dataset. METHODS: By integrating the domestic open-source large language model DeepSeek-V3 with RAG technology, an interactive web application was deployed on the Streamlit cloud platform. Using only the latest official HPO dataset as the data source, the lightweight sentence-embedding model BAAI/bge-small-en-v1.5 was employed to construct a FAISS vector index. During the online phase, a four-step closed-loop process is automatically completed: multilingual translation, phenotype phrase extraction, RAG candidate retrieval, term mapping, and official database validation. 121 English case reports publicly released by BMJ Case Reports and Oxford Medical Case Reports (with a gold-standard HPO set of 1 794 terms) were selected for application validation. Precision, recall, and F1 score were calculated and compared horizontally with traditional dictionary tools, standalone large language models, and the similar application "RAG-HPO". Finally, replace the model with the more advanced ChatGPT-5 and evaluate its performance on the newly extracted dataset. RESULTS: An HPO term automatic annotation visualization application named PhenoRAG, based on large language models and RAG technology, was successfully developed. Users can access it directly via a web link. Across the 112 cases, a total of 2 150 HPO terms were generated; 2,064 (96.0%) were fully validated by the official database, with a hallucination rate of 1.3% and an HPO ID-name mismatch rate of 2.7%. After deduplication, 1,906 terms remained for testing. The overall precision was 63.65%, recall was 67.34%, and F1 was 65.44%, significantly outperforming traditional annotation tools (F1: 0.45-0.49, P < 0.001). Although PhenoRAG's F1 was lower than that of RAG-HPO (F1 = 0.78, P < 0.001), which relies on a manually constructed synonym database of 54 000 entries plus the HPO dataset, it requires no additional dictionary maintenance and can be used without any background in computer programming. Moreover, after switching to the GPT-5 model, PhenoRAG exhibited no hallucination rate on the new dataset, and its F1 score significantly increased (P = 0.038). CONCLUSION Without constructing a synonym database, the PhenoRAG achieved high-accuracy automatic mapping from clinical text to standard HPO terms. It features a low usage threshold, free access, and a Chinese-language interface, and can directly serve rare disease diagnosis, genetic counseling, and research scenarios in China and worldwide, warranting further clinical promotion and multicenter validation.
Humans ; Phenotype ; Biological Ontologies ; Language ; Software ; Large Language Models

Diabetes mellitus, characterized by glucose metabolism disorders and marked by insulin deficiency or insulin resistance, has seen a continuous rise in prevalence. In recent years, islet transplantation has matured as a therapeutic approach for diabetes, becoming an important method for glycemic control and the reduction of diabetes-related complications. Donor selection directly influences transplant outcomes, and various research institutions worldwide have proposed multiple scoring systems to optimize donor assessment, such as the University of Alberta scoring system and the North American Islet Donor Score. This article explores the impact of key factors such as donor age, body mass index and ischemia time on islet transplantation. Combining practical experience in pancreatic donor selection from Shanghai Changzheng Hospital, it proposes screening criteria for pancreatic donors suitable for China, aiming to provide new evidence for improving the success rate of islet transplantation.

[摘 要] 目的：探讨蟾毒灵（BU）对肿瘤相关巨噬细胞（TAM）介导的结直肠癌（CRC）细胞程序性死亡蛋白-配体1（PD-L1）表达的调控作用及其分子机制。方法：采用HCT116细胞与THP-1来源巨噬细胞构建体外共培养体系。佛波酯（PMA）诱导THP-1细胞分化为M0型巨噬细胞，进一步以HCT116细胞条件培养基（CM）刺激形成TAM样细胞。流式细胞术检测CD11b、CD206表达，以评价巨噬细胞极化水平；RT-qPCR及WB法检测TGF-β、IL-10、STAT3/p-STAT3及PD-L1表达变化；慢病毒转染构建STAT3敲低细胞系HCT116sh-STAT3，结合BU干预验证STAT3/PD-L1信号通路作用。结果：HCT116细胞CM可诱导巨噬细胞向M2表型极化，表现为CD11b⁺CD206⁺细胞比例升高（P < 0.01）及TGF-β、IL-10表达增加（均P < 0.001）。TAM条件培养基可显著促进HCT116细胞STAT3磷酸化（P < 0.001）并上调PD-L1 mRNA及蛋白表达水平（P < 0.001或P < 0.01）。BU干预后，TAM介导的STAT3磷酸化水平明显下降，PD-L1表达同步下调（均P < 0.01）。STAT3敲低可降低PD-L1表达，其作用趋势与BU一致。结论：BU可通过抑制TAM介导的STAT3信号激活，下调CRC细胞PD-L1表达，提示其在肿瘤免疫微环境调控中具有潜在的应用价值。

ObjectiveTo investigate the expression level of mammalian sterile 20-like kinase 1 （MST1） in prostate cancer （PCa） tissues， its biological functions， and its regulatory effects on androgen receptor （AR） and vascular endothelial growth factor （VEGF） expression. MethodsImmunohistochemistry was performed to detect MST1 expression in 77 prostate cancer tissues and 34 benign prostatic hyperplasia （BPH） tissues， and the relationship between MST1 expression and clinicopathological parameters was analyzed. MST1-overexpressing C4-2 and LNCaP cell lines were constructed. CCK-8 assay， Transwell migration assay， and angiogenesis assay were conducted to evaluate the effects of MST1 on cell proliferation， migration， and angiogenesis. The expression changes of AR and VEGF were detected by qRT-PCR and Western blot. ResultsMST1 expression was significantly lower in PCa tissues compared with BPH tissues （P=0.012）. Low MST1 expression was significantly associated with tumor metastasis （P=0.033）. MST1 overexpression inhibited C4-2 cell proliferation and migration， with transmembrane migrated cells reduced by 53.6% （P<0.01）. MST1 overexpression decreased the mRNA and protein expression levels of AR and VEGF （P<0.05）. Angiogenesis assay demonstrated that the length of new vessel structure was significantly reduced （P<0.05）. ConclusionMST1 shows a low expression level in PCa tissues and is associated with tumor metastasis. MST1 exerts tumor-suppressive effects in prostate cancer by inhibiting cell proliferation， migration， and angiogenesis， as well as downregulating the expression of AR and VEGF， indicating its potential as a therapeutic target for prostate cancer.

Babesiosis is a zoonotic parasitic disease caused by tick-borne Babesia species. Currently, more than 100 species of Babesia have been characterized, including at least 4 species that may infect humans. Babesiosis is prevalent across the world, and humans are commonly susceptible to babesiosis. The incidence of babesiosis appears an obvious seasonal distribution, and peaks in summer and autumn. Recently, the number of reported babesiosis cases has increased year by year with the improvement of diagnostic and monitoring capabilities, and the range of animal hosts has continued to expand. However, effective prevention and control of babesiosis remain challenging because of the lack of highly effective specific drugs and available vaccines. This review summarizes the pathogenic characteristics, epidemiological characteristics, epidemic process of babesiosis, and influencing factors of its epidemic, with an emphasis on natural and social factors, so as to provide the scientific evidence for risk assessment of babesiosis and formulation of babesiosis control strategy.

Clinically， the occurrence of the breaking bad news is inevitable. For patients， they not only need to accept and cope with bad news， but also need to inform the bad news to their families with clear thinking and appropriate language， seeking their support and cooperation. This paper analysed the connotation and informing dilemma of bad news， investigated patients’ informing tendencies， as well as evaluated the advantages and disadvantages of three disclosure methods， including concealment， immediate informing， and staged informing. On these bases， a detailed response strategy for patients to inform their families was proposed in three parts， including pre-preparation， mid-articulation， and post-summary. In the initial phase， thorough preparation is essential. During the middle stage， when delivering bad news， use plain language and help family members adjust their emotions. In the final phase， ensure that all information and viewpoints have been fully communicated. In addition， the roles and analysis steps that doctors should play were analysed from their perspective and combined with the degree of doctor-patient trust. Effective informing of bad news is not only about communication skills， but also involves a deep understanding and respect for the psychological needs of patients and their families. Through meticulous preparation， appropriate expression， emotional support， and clear confirmation， communication and trust are promoted to face and overcome difficulties together.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective: To investigate the methylation status of the RUNX family transcription factor 3 ( RUNX3)promoter and its mRNA expression in sepsis patients , and to analyze their relationship with the prognosis of sepsis. Methods: Differentially expressed genes related to sepsis , including RUNX3 , were identified from multiple datasets obtained from the gene expression omnibus (GEO) database. The gene expression and methylation sites were validated. A total of 120 patients with sepsis were included. Clinical data were recorded , and blood samples were collected at enrollment. Relative expression levels of RUNX3 in blood samples and promoter methylation status were detected using qPCR and methylation⁃specific PCR ( MSP) , respectively. Pearson correlation coefficients were used to analyze the correlation between RUNX3 levels in patient blood and clinical indicators. Kaplan⁃Meier analysis was performed to plot survival curves , and Cox proportional hazards regression analysis was conducted to identify factors affecting the prognosis of sepsis patients. Results: Data set analysis revealed that RUNX3 was a differentially methylated gene associated with the prognosis of sepsis. The mRNA expression level of RUNX3 was lower in the non-survivor group compared to the survivor group (P < 0. 05) , and the methylation ratio of RUNX3 was higher in the non-survivor group than in the survivor group (P < 0. 05) . In sepsis patients , RUNX3 mRNA expression levels were negatively correlated with interleukin-6 ( IL-6) , procalcitonin ( PCT) , C-reactive protein ( CRP) , acute physiology and chronic health evaluation ( APACHE Ⅱ ) score , and sequential organ failure assessment ( SOFA) score. Kaplan-Meier analysis showed that the 28-day survival rate in the methylated group was lower than that in the unmethylated group ( P < 0. 05) . Cox regression analysis results indicated that RUNX3 promoter methylation was an independent risk factor for predicting the 28-day prognosis of sepsis patients. Conclusion In sepsis patients , the mRNA levels of RUNX3 were reduced , and the degree of promoter methylation was higher. RUNX3 promoter methylation was an independent risk factor for the 28-day prognosis of sepsis patients and could serve as a prognostic biomarker for sepsis.

ObjectiveTo establish consensus on Chinese Herbal Medicine (CHM) for rheumatoid arthritis (RA) among 21 Singaporean experts, this study addressed the lack of CHM clinical practice guidelines (CPGs) in Singapore. Despite advancements in RA therapies, the disease's progressive nature and high costs of novel treatments worsen disparities in management and outcomes. The initiative aimed to bridge this gap by developing expert-backed recommendations for CHM use in RA care.MethodsThe group of experts conducted two rounds of Delphi surveys containing 29 items identified from a literature review. Consensus was defined as ≥75% of votes in dichotomized ratings on a five-point ordinal scale for recognition. Items that did not reach consensus were discussed in a focus group with four selected experts.ResultsNineteen experts completed both rounds of Delphi surveys. A consensus was reached for 27 items, which encompassed Chinese medicine rationale, pattern differentiation, management, CHM prescription, and co-effectiveness with pharmacological therapy. Collective expert opinions were formed for the two remaining items. All items received a recognition score 3.5.ConclusionsThe consensus derived from this study provides a foundation for CHM CPGs for RA in Singapore. However, the findings are limited by the demographic composition of the experts and the representativeness of the patient pool.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.