Breast cancer has become the malignant tumor with the highest incidence rate among women， seriously threatening the life and health of women all over the world. The pathogenic factors and development mechanisms of breast cancer are complex and diverse. The development of breast cells from ordinary hyperplasia to atypical hyperplasia， and from pre-cancerous lesions to cancerous lesions， is a long-term progressive process. Therefore， early screening and prevention of breast cancer is particularly important. Western medicine has a relatively mature treatment program for breast cancer， which is mainly based on surgery and systemic treatment， whereas the ensuing complications and adverse reactions often bring a heavy burden to patients. For the precancerous lesions of breast cancer， surgery is also the mainstay of treatment. In recent years， traditional Chinese medicine （TCM） has increasingly highlighted its advantages in the prevention and treatment of breast cancer. Increasing studies have shown that in the prevention and treatment of breast cancer and pre-cancerous lesions， TCM compound prescriptions， single herbs or herb pairs， and active components are able to regulate a variety of intracellular signaling pathways through multi-targets to inhibit the proliferation and invasion， promote the apoptosis and autophagy of tumor cells， and regulate the cell cycle and the immune microenvironment， thus exerting anti-tumor effects. At the same time， they can significantly attenuate the toxic side effects of radiotherapy and drug resistance of patients. However， the specific mechanisms of TCM in the prevention and treatment of breast cancer and precancerous lesions have not been fully clarified. The available studies are tanglesome regarding the TCM inhibition of tumor development through the regulation of classical signaling pathways such as phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， and Notch， which still need to be verified by a large number of clinical and experimental studies. Therefore， this paper reviews the research progress in the prevention and treatment of breast cancer and precancerous lesions by TCM through interfering with the relevant signaling pathways in recent years， aiming to summarize the possible mechanisms of TCM in the prevention and treatment of breast cancer and provide references for subsequent studies.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Employing bibliometric methods and adhering to principles of textual research， this study systematically investigated prescription source， formula name， composition evolution， dose evolution， origin， processing， ancient and modern applications of Xiaofengsan. Xiaofengsan， also known as Renshen Xiaofengsan and Chantui Xiaofengsan， was first recorded in the Taiping Huimin Hejijufang（hereafter referred to as Jufang） of the Southern Song dynasty. The formula composition included Schizonepetae Spica， Glycyrrhizae Radix et Rhizoma， Chuanxiong Rhizoma， Notoptery Rhizoma et Radix， Bombyx Batryticatus， Saposhnikoviae Radix， Poria， Cicadae Periostracum， Pogostemonis Herba， Ginseng Radix et Rhizoma， Magnoliae Officinalis Cortex and Citri Reticulatae Pericarpium， a total of 12 medicinal materials. In terms of the evolution of formula composition， formulas across dynasties largely aligned with those recorded in Jufang， with only minor variations in application. The results of the formula dosage research indicated that one dose of medication in Jufang corresponded to the following modern dosages：Schizonepetae Spica of 82.6 g， Glycyrrhizae Radix et Rhizoma of 82.6 g， Chuanxiong Rhizoma of 82.6 g， Notoptery Rhizoma et Radix of 82.6 g， Bombyx Batryticatus of 82.6 g， Saposhnikoviae Radix of 82.6 g， Poria of 82.6 g， Cicadae Periostracum of 82.6 g， Pogostemonis Herba of 82.6 g， Ginseng Radix et Rhizoma of 82.6 g， Magnoliae Officinalis Cortex of 20.65 g and Citri Reticulatae Pericarpium of 20.65 g， the origins of all the constituent drugs were consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The results of the investigation into the decoction method indicated that the aforementioned drugs should be finely ground into powder（pass through the No.5 sieve）， and 8.26 g was taken for each dose， which was taken with the clear liquid obtained by steeping tea leaves in boiling water for several minutes. This mixture was administered three times daily， 30 min after meals. The ancient functional indications of this formula mainly involved dispelling wind-heat， eliminating pathogenic factors and regulating the middle Jiao. It primarily treated all wind-heat syndromes manifesting as skin diseases， predominantly affecting the upper body， especially the head and face. The diseases involved in modern applications were mostly dermatological diseases， including urticaria， eczema， atopic dermatitis and others. In this paper， by combing the relevant ancient literature， the key information of Xiaofengsan was textual researched， in order to provide reference for the modern application and development of this formula.

Cholangiocarcinoma (CCA) is a malignancy characterized by tumor cells originating in the liver or bile ducts, exhibiting features of cholangiocyte differentiation. It poses a significant clinical challenge due to the limited diagnostic and therapeutic options available. Robust animal models are essential for advancing our understanding of CCA pathogenesis and developing effective treatments. This review provides a comprehensive overview of CCA mouse models, highlighting various approaches, including chemical induction, genetically engineered models, and tumor xenografts. Each model is discussed in terms of its establishment techniques, pathological characteristics, and research significance, with a focus on intrahepatic CCA. Chemical induction models, such as diethylnitrosamine- and azoxymethane-induced models, offer insights into tumorigenesis processes, whereas genetically modified models involving alterations in key genes such as Kirsten rat sarcoma viral oncogene homolog, tumor protein 53, and isocitrate dehydrogenase serve as important tools for studying the molecular mechanisms underlying CCA. Xenograft models, including patient-derived xenografts, bridge the gap between experimental research and clinical applications, allowing for precise therapeutic evaluations. By comparing these models, this review underscores their respective advantages and limitations, paving the way for future studies aiming to optimize and innovate CCA modeling strategies.

Objective To systematically evaluate influence factors hospitalization infections in multiple myeloma(MM)patients after chemotherapy.Methods Computer searches were conducted on relevant literature in CNKI,China Biology Medicine disc,VIP,Wanfang Data Knowledge Service Platform,PubMed,Web of Science,Embase,Cochrane Library and CINAHL from the database inception until December 16,2024.Two researchers independently screened and assessed the quality of the literature,obtained the necessary information,and a Meta-analysis of risk factors was conducted by using RevMan 5.4 software.Results 19 articles were included in total.Meta-analysis results showed that high body mass index,length of stay,smoking history,Eastern Cooperative Oncology Group(ECOG)score,granulocyte deficiency,neutropenia,Durie-Salmon stage,international staging system(ISS)stage and combined with diabetes,renal insufficiency,anemia,hypoalbuminemia were the risk factors for hospitalization infections in patients with MM after chemotherapy(P＜0.05).Conclusion This study provides a reference for intervening in the risk factors of hospitalization infections in MM patients after chemotherapy.Medical staff should prevent infections early based on relevant factors,identify high-risk populations,and maximize the protection of patient health outcomes and good prognosis.

Objective To systematically evaluate the risk factors for metabolic syndrome in hospitalized patients with schizophrenia in China.Methods Relevant observational studies were retrieved for Chinese schizophrenia patients with metabolic syndrome in Databases,with a retrieval period from the database establishment date to January 12 2025.Two researchers independently screened the literature,extracted data and evaluated the quality of the studies,and a total of 16 articles were included for Meta analysis.Results Age,body mass index,smoking history,disease duration,family history of metabolic syndrome,diabetes history,hypertension history,chlorantraniliprole use,olanzapine use,interleukin-6 levels,leptin levels,triglyceride levels,and high-density lipoprotein cholesterol levels were significant risk factors for metabolic syndrome in hospitalized Chinese schizophrenia patients(P＜0.05).Moderate recreational exercise served as a protective factor(P＜0.05).Conclusion There are many influencing factors for the association of metabolic syndrome in hospitalized patients with schizophrenia in China,and moderate exercise is a protective factor for the association of metabolic syndrome in schizophrenia.In clinical practice,high-risk groups of metabolic syndrome can be actively screened according to relevant risk factors.

Objective:To investigate the prospective association between lifestyle and the risk for all-cause mortality in middle-aged and elderly residents in China.Methods:The data from China Health and Retirement Longitudinal Study were used. Baseline information about the lifestyle were collected through questionnaire survey and physical measurements, and the mortality data were obtained through surveys conducted at 2-3 year intervals. A total of 5 436 study participants were included. A comprehensive lifestyle including smoking, alcohol consumption, sleep, BMI and physical activity was constructed, and a multivariate-adjusted Cox proportional hazards regression model was used to estimate the association between lifestyle and the risk for all-cause mortality.Results:During the follow-up of average 8.2 years, 695 deaths were recorded. The comprehensive lifestyle score was linearly associated with the risk for all-cause mortality. Compared with the study participants with comprehensive lifestyle score of 0-1, those with score of 2-5 all had lower risk for all-cause mortality, with HRs of 0.78 (95% CI: 0.62-0.98), 0.56 (95% CI: 0.44-0.72), 0.36 (95% CI:0.27-0.48), and 0.33 (95% CI: 0.21-0.52), respectively. The results of Cox proportional hazards regression model analysis of single lifestyle showed that compared with those with unhealthy lifestyles, the HRs of all-cause mortality for study participants who never smoked, had moderate alcohol consumption, had appropriate night sleep, maintained healthy body weight and kept active physical activity were 0.70 (95% CI: 0.57-0.84), 0.76 (95% CI: 0.64-0.90), 0.79 (95% CI: 0.67-0.94), 0.73 (95% CI: 0.62-0.87), and 0.68 (95% CI: 0.58-0.80), respectively. Conclusions:Keeping healthy lifestyles can significantly reduce the risk for all-cause mortality in middle-aged and elderly residents China. The higher the healthy lifestyle level, the lower the risk for all-cause mortality.

Objective:To investigate the effect and mechanism of Jianpi Qinghua granule in improving skeletal muscle insulin resistance induced by long-term low-dose cadmium exposure in rats.Methods:A total of 24 SPF-grade healthy 2-month-old Sprague-Dawley rats were assigned to normal control(NC) group, cadmium exposure(Cd) group, and Jianpi Qinghua granule protection(Cd+ JPQHG) group. After 24 weeks, fasting blood glucose and insulin levels were measured, and HOMA-IR was calculated. The intraperitoneal glucose tolerance test and insulin tolerance test were conducted to assess insulin sensitivity. Skeletal muscle tissues were extracted for Western blot analysis to detect levels of insulin signaling pathway-related proteins. Immunofluorescence was used to assess the translocation of glucose transporter 4(GLUT4), and oxidative stress markers were measured.Results:Compared to the NC group, the Cd group showed significant increases in fasting plasma glucose, fasting insulin levels, and HOMA-IR after 24-week exposure. Abnormal glucose and insulin tolerance were also observed in the Cd group. The 12-week intervention with Jianpi Qinghua granule significantly improved glucose metabolism and alleviated the abnormalities in glucose and insulin tolerance. Western blot results indicated that the phosphorylation levels of PI3K and Akt in the skeletal muscle of the Cd group were significantly reduced compared to the NC group, while these levels were significantly elevated in the Cd+ JPQHG group, along with increased translocation of GLUT4 to the cell membrane. Additionally, cadmium exposure significantly increased H 2O 2 and malondialdehyde levels while decreased antioxidant enzyme activity. These oxidative stress indicators improved significantly after Jianpi Qinghua granule intervention( P<0.05). Conclusion:Jianpi Qinghua granule may improve skeletal muscle insulin resistance and glucose metabolism disorders due to long-term low-dose cadmium exposure by reducing oxidative stress, regulating the phosphorylation levels of key proteins in the insulin signaling pathway, and promoting GLUT4 translocation to the cell membrane.

Metastatic Crohn's disease (MCD) represents one of the rare cutaneous extraintestinal manifestations in patients with Crohn's disease. The genital area, particularly the vulva in females, is the most commonly affected site in MCD. However, clinical cases of metastatic vulval Crohn's disease (MVCD) are relatively scarce, and the symptoms often lack specificity, making differential diagnosis challenging. This article aims to summarize the clinical characteristics, diagnostic approaches, and treatment modalities of MVCD, thereby providing a reference for the clinical management of this condition.

Objective:To analyze the epidemiological characteristics and trend of acute hemorrhagic conjunctivitis (AHC) in China from 2015 to 2022, and to provide evidence for the adjustment of prevention and control strategies and measures for AHC.Methods:The case data of AHC reported by national notifiable disease information system from 2015 to 2022 were collected, and descriptive analysis method were used to analyze the population distribution characteristics, temporal epidemiological trends and spatial clusters of AHC in China.Results:From 2015 to 2022, the incidence of AHC in China ranged from 1.85/100 000 to 2.97/100 000, with a fluctuating downward trend. The average annual percent change (AAPC) was -4.91 (95% CI: -7.74 to -2.00, P<0.05), with an annual percent change (APC) of 2.73 (95% CI: -2.34 to 8.06, P=0.189) for 2015—2019 and an APC of -14.23 (95% CI: -21.78 to -5.94, P<0.05). The age-specific incidence rate was highest in children aged 0-4 years (fluctuating between 4.69 and 5.67/100 000 from 2015 to 2019; It decreased significantly during 2020—2022, fluctuating between 1.93 and 2.72 per 100 000).The proportion of cases in children at 0-4 years of age showed a fluctuating downward trend from 8.68% in 2015 to 3.76% in 2020, with an increase in 2021—2022 to 5.74%. After 2020, the proportion of the population aged 60 years and above has increased, reaching 33.59% in 2022. Cases were mainly farmers, with a fluctuating upward trend of around 50% per year, with the highest percentage of 60.96% in 2020. The peak seasonal incidence of AHC was obvious from May to September from 2015 to 2019, but it was not obvious in 2020—2022. The cases were mainly distributed in Guangxi, Hainan and other provinces in the southwestern part of China. The high incidence counties were concentrated in Leye County of Guangxi, Maojian District of Hubei, Fuchuan Yao Autonomous County of Guangxi, Funing County of Yunnan, and Pulan County of Tibet every year. Conclusions:The overall epidemic rate of AHC in China showed a fluctuating downward trend from 2015 to 2022, with a pronounced decline observed between 2020 and 2022, potentially linked to non-pharmaceutical interventions during the COVID-19 pandemic. Increased attention needs to be given to farmers and people above 60 years of age to reduce the risk of morbidity. Moreover, prevention and control efforts should be strengthened in high-risk areas of southwestern China, and comprehensive measures should be implemented in counties with high incidence, including enhanced health education campaigns and improved allocation of sanitary facilities, to reduce the risk of AHC infection. This study is the first to highlight the potential impact of public health policies on AHC epidemiology, thereby offering a scientific foundation for population- and region-specific precision prevention strategies, particularly guiding the refinement of control measures in high-burden areas.