As the number of patients with compromised immune function increases and fungal resistance develops, so does the risk of contracting deadly fungi in humans. Both fungi and humans are eukaryotes, so identifying unique targets for antifungal drug development is difficult. In addition, the existing antifungal drugs are limited by toxicity, drug interaction and drug resistance in practical application, which leads to the increasing incidence and fatal rate of fungal infections. Therefore, it is urgent to develop new antifungal drugs. The semi-synthetic technology using microbial fermentation products from natural sources as lead compounds has become the most used method in structural modification of antifungal drugs due to its advantages of few reaction steps and easy operation. This paper will introduce the current status of natural antifungal drugs in clinical use, as well as the latest progress in the research and development of new semi-synthetic antifungal drugs, and summarize their mechanism of action, structural modifications, advantages and disadvantages, so as to provide reference for the subsequent development of new antifungal drugs.

ObjectiveGliomas in the motor functional area can damage the corticospinal tract (CST), leading to motor dysfunction. Currently, there is a lack of unified methods for evaluating the extent of CST damage, especially in patients with high surgical risk where the minimum distance from the lesion to the CST is less than 10 mm. This study aims to further clarify the classification method and clinical significance of CST morphological changes in these patients. MethodsThis retrospective study analyzed 109 high-risk functional area glioma patients who underwent neurosurgical treatment with preoperative diffusion tensor imaging (DTI) imaging and intraoperative neurostimulation guidance between 2014 and 2024. All patients had a lesion-to-tract distance (LTD) of less than 10 mm between the CST and the lesion. Preoperative DTI evaluation of CST involvement-induced morphological changes were reviewed. Patients were divided into 3 groups: 17 cases (15.6%) with symmetric CST morphology compared to the healthy side (CST symmetry), 48 cases (44.0%) with significant CST morphology changes compared to the healthy side (CST deformation), and 44 cases (40.4%) with CST overlap with the tumor (CST overlap). Then we classified patients according to preoperative assessment of tumor-induced morphological changes, and analyze postoperative motor function for each category. ResultsPostoperative pathology showed a significantly higher proportion of high-grade gliomas (HGG) in the CST overlap group compared to the other two groups (P=0.001). Logistic regression analysis showed that CST overlap was a predictor of HGG (P=0.000). The rate of total tumor resection in the CST deformation group and overlap group was lower than in the CST symmetric group (P=0.008). There was a total of 41 postoperative hemiplegic patients, with 4 cases (23.5%) in the CST symmetric group, 11 cases (22.9%) in the CST deformation group, and 26 cases (59.1%) in the CST overlap group. CST overlap with the tumor predicted postoperative hemiplegia (P=0.016). Two-way ANOVA analysis of the affected/healthy side and CST morphology groups showed significant main effects of CST grouping and healthy-affected side (P=0.017 and P=0.010), with no significant interaction (P=0.31). The fractional anisotropy (FA) value in the CST overlap group and the affected side was lower. A decrease in the FA value on the affected side predicted postoperative hemiplegia (sensitivity 69.2%, specificity 71.9%). ConclusionWe have established a method to predict postoperative hemiplegia in high-risk motor functional area glioma patients based on preoperative CST morphological changes. CST overlap leads to a decrease in CST FA values. This method can be used for precise patient management and aid in accurate preoperative surgical planning.

Immunotherapy represents the third revolution in the pharmacological treatment of tumors and has demonstrated considerable efficacy in the management of malignant solid tumors, including melanoma and lung cancer. By contrast, breast cancer is frequently categorized as a “cold tumor” because of its limited immunogenicity and immunoreactivity, which hinder research progress and clinical outcomes in immunotherapy. Only a small proportion of patients derive benefits from immunotherapeutic interventions, and the development of drug resistance remains a concern. In this regard, novel strategies should be explored for converting immunologically inert “cold tumors” into immunologically active “hot tumors”, thereby expanding the population that will benefit from breast cancer immunotherapy. This study reviews new strategies to transform breast cancer from “cold tumor” to “hot tumor”. Strategies include enhancing the expression of tumor antigens, promoting immune infiltration, and reversing the immunosuppressive microenvironment. Results also emphasize the importance of comprehensive treatment to enhance systemic immunity.

Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective To explore the effect of motor imagery brain-computer interface(BCI)combined with upper limb rehabilita-tion robot on upper limb function of stroke patients.Methods From May to December,2024,45 stroke inpatients from Xuzhou Rehabilitation Hospital and Xuzhou Central Hospital were recruited and randomly divided into BCI group(n=15),robot group(n=15)and combined group(n=15).All the groups received conventional rehabilitation therapy.On this basis,the BCI group received motor imagery based BCI training,the robot group received upper extremity rehabilitation robot training,and the com-bined group received BCI combined with upper extremity rehabilitation robot training.They were assessed with Fugl-Meyer Assessment-Upper Extremities(FMA-UE),Action Research Arm Test(ARAT)and modified Barthel Index(MBI)before and four weeks after treatment,while they were measured delta-alpha ratio(DAR)using the quantitative electroencephalogram.Results The intra-group effect(F>101.870,P<0.001)and interaction effect(F>7.891,P<0.001)were significant in the scores of FMA-UE,ARAT and MBI,and DAR.Post Hoc test showed that all the indexes were better in the combined group than in BCI group and the robot group(P<0.05),and there was no significant difference in the indexes between BCI group and the robot group(P>0.05).Conclusion BCI combined with upper limb rehabilitation robot can promote the recovery of upper limb function and ac-tivities of daily living of stroke patients.

Objective:We aimed to analyze the spatio-temporal trend of breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and predict the development trend from 2024 to 2030.Methods:Data on the incidence and mortality of breast cancer in Shandong Province from 2012 to 2023 were obtained from the Shandong Cancer Registry. The incidence, age-specific incidence, mortality, and age-specific mortality in different years, as well as in urban and rural areas, were calculated, and the rates were standardized based on the age composition of the Chinese standard population in 2000. The average annual percent change (AAPC) rate was calculated using Joinpoint 4.8.0.1 software. The global and local spatial autocorrelation analysis were performed using GeoDa 1.12 software. The Bayesian age-period-cohort model was used to predict the trend of breast cancer incidence and mortality from 2024 to 2030.Results:From 2012 to 2023, the breast cancer age-standardized incidence rate (ASIR) showed an increasing trend. The ASIR increased from 30.48/100 000 in 2012 to 39.94/100 000 in 2023 (AAPC=2.59%, P<0.001). The ASIR of urban and rural females also showed an upward trend. Additionally, the ASIR in rural areas (AAPC=3.33%, P<0.001) increased more than that in urban areas (AAPC=1.83%, P=0.002). The incidence peak of breast cancer mainly concentrated in population aged 45-64 years, and with the increase of years, the incidence peak gradually moved forward. The age-standardized mortality rate (ASMR) showed a downward trend. The ASMR decreased from 6.89/100 000 in 2012 to 4.93/100 000 in 2023 (AAPC=-3.12%, P<0.001). The ASMR of urban and rural females also showed a downward trend (urban: AAPC=-3.56%, P=0.007; rural: AAPC=-2.72%, P<0.001). The spatial analysis showed that from 2015 to 2023, the clustering areas of breast cancer incidence and mortality in Shandong had changed significantly. In 2015, the "High-high clusters" of ASIR mainly included Wendeng District in Weihai City, Dongying District, Kenli District, Lijin County, Guangrao County in Dongying City, Tianqiao District, Shizhong District in Jinan City; In 2023, the "High-high clusters" mainly included Jiaxiang County, Liangshan County, Jinxiang County, Wenshang County, Rencheng District in Jining City, Hedong District in Linyi City, Guangrao County in Dongying City. In 2015, the "High-high clusters" of ASMR only included Wenshang County in Jining City. In 2023, the "High-high clusters" mainly included Laizhou County in Yantai City, Junan County and Yishui County in Linyi City, Gaotang County in Liaocheng City, Dongping County and Ningyang County in Taian City. The Bayesian age-period-cohort model predicted that the ASIR trend of breast cancer in Shandong tended to be smooth (AAPC=0.33%, P=0.001). However, the ASMR remained decreasing (AAPC=-4.68%, P<0.001). Conclusions:The breast cancer incidence in Shandong showed an increasing trend, and it is expected to be smooth by 2030. However, the mortality showed a continuous downward trend. The incidence peak was mainly in the population aged 45-64 years, with obvious regional differences. Targeted prevention and control measures should be taken for high-risk groups and areas in Shandong Province.

Objective: To investigate trends in incidence and mortality of colorectal cancer in Nantong City, Jiangsu Province from 2013 to 2022. Methods: Data on incidence and mortality of colorectal cancer from 2013 to 2022 in Nantong City were collected through the Nantong City cancer registry. The crude incidence, crude mortality, average age at onset, and average age at death of colorectal cancer were calculated. Chinese population-standardized incidence, Chinese population-standardized mortality, Chinese population-standardized average age at onset and Chinese population-standardized average age at death were calculated using the age structure of the standard population from the Fifth National Population Census in 2000. Trends in incidence and mortality of lung cancer from 2013 to 2022 were evaluated using average annual percent change (AAPC). Trends in the Chinese population-standardized average age at onset and Chinese population-standardized average age at death of lung cancer from 2013 to 2022 were evaluated using the linear regression model. Results: From 2013 to 2022, the crude incidence and Chinese population-standardized incidence of colorectal cancer in Nantong City increased from 33.63/105 and 16.05/105 to 53.82/105 and 19.62/105, respectively, showing upward trends (AAPC=5.665% and 2.467%, both P<0.05). The crude mortality increased from 15.99/105 in 2013 to 25.65/105 in 2022, also showing an upward trend (AAPC=5.514%, P<0.05), while no statistically significant trend was found in the Chinese population-standardized mortality (P>0.05). The Chinese population-standardized incidence of colorectal cancer showed upward trends in both males and females (AAPC=2.666% and 1.790%, both P<0.05). The Chinese population-standardized mortality showed an upward trend in males (AAPC=1.966%, P<0.05), but no statistically significant trend was found in females (P>0.05). The crude incidence of colorectal cancer in the groups aged 40-<50 years, 50-<60 years, 60-<70 years, 70-<80 years, and ≥80 years showed upward trends (AAPC=4.045%, 2.833%, 2.300%, 1.948%, and 1.775%, all P<0.05), and the crude mortality in the group aged ≥80 years showed an upward trend (AAPC=3.240%, P<0.05). The average age at onset of colorectal cancer increased at an annual average of 0.156 years (P<0.05), while the trend in the Chinese population-standardized average age at onset was not statistically significant (P>0.05). The average age at death and the Chinese population-standardized average age at death increased at an annual average of 0.325 and 0.153 years, respectively (both P<0.05). Conclusions From 2013 to 2022, both the crude incidence and mortality of colorectal cancer in Nantong City showed upward trends. Males and individuals aged ≥40 years faced a higher risk of both incidence and mortality. It is recommended to implement comprehensive prevention and control measures targeting these high-risk populations to reduce the burden of colorectal cancer.

This study aims to systematically characterize the targeted effects of Quanduzhong Capsules on cartilage lesions in knee osteoarthritis by integrating spatial transcriptomics data mining and animal experiments validation, thereby elucidating the related molecular mechanisms. A knee osteoarthritis model was established using Sprague-Dawley(SD) rats, via a modified Hulth method. Hematoxylin and eosin(HE) staining was employed to detect knee osteoarthritis-associated pathological changes in knee cartilage. Candidate targets of Quanduzhong Capsules were collected from the HIT 2.0 database, followed by bioinformatics analysis of spatial transcriptomics datasets(GSE254844) from cartilage tissues in clinical knee osteoarthritis patients to identify spatially specific disease genes. Furthermore, a "formula candidate targets-spatially specific genes in cartilage lesions" interaction network was constructed to explore the effects and major mechanisms of Quanduzhong Capsules in distinct cartilage regions. Experimental validation was conducted through immunohistochemistry using animal-derived biospecimens. The results indicated that Quanduzhong Capsules effectively inhibited the degenerative changes in the cartilage of affected joints in rats, which was associated with the regulation of Quanduzhong Capsules on the thioredoxin-interacting protein(TXNIP)-NOD-like receptor family pyrin domain containing 3(NLRP3)-bone morphogenetic protein receptor type 2(BMPR2)-fibronectin 1(FN1)-matrix metallopeptidase 2(MMP2) signal axis in the articular cartilage surface and superficial zones, subsequently inhibiting cartilage matrix degradation leading to oxidative stress and inflammatory diffusion. In summary, this study clarifies the spatially specific targeted effects and protective mechanisms of Quanduzhong Capsules within pathological cartilage regions in knee osteoarthritis, providing theoretical and experimental support for the clinical application of this drug in the targeted therapy on the inflamed cartilage.
Animals ; Osteoarthritis, Knee/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Rats ; Male ; Humans ; Capsules ; Female ; Disease Models, Animal

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans