Pancreatic cancers (PCs) is a common malignant tumor with poor prognosis in the digestive system. Its main treatment methods include surgery, radiotherapy, chemotherapy, and targeted therapy. The early diagnosis rate of hidden onset of PCs is low, and most patients have already lost the opportunity to undergo surgery when diagnosed with PCs. Chemotherapy is still the main treatment for advanced PCs, but the use of chemotherapy drugs in PCs can easily lead to drug resistance. The most significant feature that distinguishes PCs from other tumors is its rich and dense matrix, which not only hinders drug penetration but also impedes the infiltration of immune cells. The above reasons have led to a very low survival rate of PCs patients. Therefore, drug delivery systems are very important in the diagnosis and treatment of PCs. They can improve drug delivery, enhance biological barrier penetration, reduce side effects, and combine multiple treatment methods. Therefore, the treatment prospects of PCs are very broad. Currently, drug delivery systems widely applied in PCs primarily include nanodrug delivery systems, tumor microenvironment-targeted drug delivery system, immunotherapy drug delivery system, gene therapy drug delivery system, and combination therapy drug delivery system that synergize multiple therapeutic modalities. Emerging drug delivery systems (DDSs) have revolutionized PCs treatment by addressing these challenges through multiple mechanisms. Nanoformulations improve drug solubility, prolong circulation time, and reduce systemic toxicity via passive/active targeting. Smart DDSs responsive to PCs-specific stimuli enable extracellular matrix degradation, tumor-associated fibroblasts reprogramming, and vascular normalization to enhance drug accessibility. Last but not least, carrier systems loaded with myeloid-derived suppressor cell inhibitors or T cell activators can reverse immunosuppression and potentiate immunotherapy efficacy. Advanced platforms co-deliver chemotherapeutics with immunomodulators, gene-editing tools, or sonodynamic agents to achieve synergistic antitumor effects. These platforms aim to address critical challenges in PCs treatment, such as enhancing drug bioavailability, overcoming stromal barriers, reprogramming immunosuppressive niches, and achieving multi-mechanistic antitumor effects. This article provides a systematic summary and prospective analysis of the current development status, latest cutting-edge advances, opportunities, and challenges of the above-mentioned drug delivery systems in the field of PCs therapy.

Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Colorectal cancer(CRC) is one of the most common malignant tumors worldwide, primarily originating from recurrent inflammatory bowel disease(IBD). Therefore, blocking the inflammation-cancer transformation in the colon has become a focus in the early prevention and treatment of CRC. The inflammation-cancer transformation in the colon involves multiple types of cells and complex pathological processes, including inflammatory responses and tumorigenesis. In this complex pathological process, immune cells(including non-specific and specific immune cells) and non-immune cells(such as tumor cells and fibroblasts) interact with each other, collectively promoting the progression of the disease. In traditional Chinese medicine(TCM), inflammation-cancer transformation in the colon belongs to the categories of dysentery and diarrhea, with the main pathogenesis being cold and heat in complexity. This paper first elaborates on the complex molecular mechanisms involved in the inflammation-cancer transformation process in the colon from the perspectives of inflammation, cancer, and their mutual influences. Subsequently, by comparing the pathogenic characteristics and clinical manifestations between inflammation-cancer transformation and the TCM pathogenesis of cold and heat in complexity, this paper explores the intrinsic connections between the two. Furthermore, based on the correlation between inflammation-cancer transformation in the colon and the TCM pathogenesis, this paper delves into the importance of the interaction between inflammation and cancer. Finally, it summarizes and discusses the clinical and basic research progress in the TCM intervention in the inflammation-cancer transformation process, providing a theoretical basis and treatment strategy for the treatment of CRC with integrated traditional Chinese and Western medicine.
Humans ; Colon/pathology* ; Integrative Medicine ; Animals ; Cold Temperature ; Cell Transformation, Neoplastic/drug effects* ; Medicine, Chinese Traditional ; Hot Temperature ; Inflammation ; Drugs, Chinese Herbal/therapeutic use* ; Colonic Neoplasms/drug therapy*

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people. METHODS: 19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log₁₀ (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023. RESULTS: Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses. CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

The advent of digital times promotes the evolution of clinical research from traditional mode to digital mode. Digital technologies， which are introduced to clinical research of traditional Chinese medicine （TCM）， can optimize the research design， improve research quality， and save research funds and time. The digital and remote control of clinical research recruitment and screening， disease diagnosis and treatment， informed consent， indicator measurement， and other processes can be realized by computers， networks， sensors， and other technologies. Artificial intelligence （AI） algorithms， wearable monitoring devices， data management tools， blockchain， and virtual clinical trials （VCTs） are key innovation technologies and research design methods. On this basis， this study summarized relevant literature on key digital technologies and research methods such as AI algorithms， wearable monitoring devices， data management tools， blockchain， and VCT， and the following discoveries were obtained： The future development of clinical research of TCM requires to attach importance to the changes in clinical research brought by digital technologies and to promote the utilization of digital technologies in clinical research of TCM. Digital technologies realize the medical ethical ideas of ''putting people first''， promote the decentralization of clinical research， simplify the participation process of participants， reduce the time and cost of clinical research， improve the efficiency of clinical research of TCM， and enhance the objectivity， authenticity， and stability of clinical research of TCM. Deepening the application of digital technologies in clinical research and realizing the interaction and fusion of various digital technologies are inevitable trends of future development of clinical research of TCM. Under the background of digitization， the digital innovation of clinical research of TCM can accelerate the development of clinical research of TCM and promote the internationalization of TCM.

The problems caused by proximal contact loss(PCL)of dental implants have been a mainstream research topic in recent years,and scholars are unanimously committed to analyzing their causes and related factors,aiming to identify solutions to the problems related to PCL.The effects of the anterior component of force(ACF),the lifelong re-molding of the adult craniofacial jaw and alveolar socket,and the osseointegration characteristics of dental implants are the main causes of PCL.On the one hand,the closing movement of the mandible causes the ACF of the tooth to move through the posterior molar cusp.Moreover,drifting between the upper and lower posterior teeth and mandibular anteri-or teeth can cause the anterior teeth of the upper and lower jaws to be displaced labially.On the other hand,reconstruc-tion of the jaw,alveolar socket and tooth root,the forward horizontal force of the masticatory muscles,the dynamic com-ponent of the jaw and the forward force generated by the oblique plane of the tooth cusp can cause the natural tooth to experience near-middle drift.Additionally,natural teeth can shift horizontally and vertically and rotate to accommodate remodeling of the stomatognathic system and maintain oral function.Nevertheless,the lack of a natural periodontal mem-brane during implant osseointegration,the lack of a physiological basis for near-medium drift,the small average degree of vertical motion and the integrated silence of dental implants without the overall drift characteristics of natural teeth increases the probability of PCL.The high incidence of PCL is clearly associated with the duration of prosthesis delivery and the mesial position;but it is also affected by the magnitude of the bite force,occlusion,the adjacent teeth,restora-tion design,implant location,jaw,and patient age and sex.PCL has shown a significant correlation with food impaction,but not a one-to-one correspondence,and did not meet the necessary and sufficient conditions.PCL is also associated with peri-implant lesions as well as dental caries.PCL prevention included informed consent,regular examinations,se-lection of retention options,point of contact enhancement,occlusal splints,and the application of multipurpose digital crowns.Management of the PCL includes adjacent contact point additions,orthodontic traction,and occlusal adjust-ment.Existing methods can solve the problem of food impaction in the short term with comprehensive intervention to seek stable,long-term effects.Symmetric and balanced considerations will expand the treatment of issues caused by PCL.

Objective To develop a GIS-based 3D playback system for the flight human-plane data to realize the fusion of pilots'airborne flight data and physiological data.Methods The 3D playback system was developed with the Browser/Server(B/S)architecture,micro-server model,Java language and Spring Cloud technology framework,which was composed of three functional modules for flight process reproduction,physiological situational awareness and critical event calibration analysis.Results The system developed achieved time synchronization and data fusion of airborne flight data and physiological data with a time synchronization frequency of 1 Hz and a refresh rate of not less than 120 frames/s.Conclusion The system developed with high safety,stability,reliability and accuracy facilitates pilot in-flight physiological monitoring and fusion and simultaneous display of airborne flight data and physiological data,which can be used as an important platform for decision-making support in flight training.[Chinese Medical Equipment Journal,2024,45(10):14-19]

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.

Objective:To assess the prognostic impact of frailty on elderly inpatients with heart failure.Methods:This prospective cohort study enrolled 121 in elderly patients with heart failure from Beijing Hospital, the General Hospital of the People's Liberation Army, and Beijing Tsinghua Changgung Hospital between September 2018 and April 2019.Patients were assessed for frailty using the Fried frailty phenotype and categorized into frail and non-frail groups.Follow-ups were conducted at 3-, 6-, and 12-months post-enrollment through clinic visits or phone calls to record adverse events.Composite endpoints include all-cause mortality and rehospitalization duo to deterioration of heart failure.Results:The study included 121 patients with an average age of 78.0±7.4 years, of whom 71(58.7%)were male and 57(47.1%)were classified as frail.Compared to the non-frail group, the frail group had lower estimated glomerular filtration rates[49.5±20.7 ml/(min·1.73m 2) vs.(64.0±27.1)ml/(min·1.73m 2)], lower scores in Basic Activities of Daily Living[5.0(4.0, 6.0) vs.6.0(5.0, 6.0)], Instrumental Activities of Daily Living[2.0(1.3, 7.8) vs.7.0(5.0, 8.0)], and Mini-Mental State Examination[26.0(16.0, 28.0) vs.27.0(22.3, 29.0)], all P<0.05.They also experienced longer hospital stays[10.5(6.0, 18.8)days vs.8.0(6.0, 11.8)days, P=0.008].During the follow-up period, the incidence of composite endpoint events was significantly higher in the frail group(43.9% vs.25.0%, P=0.029).Kaplan-Meier survival analysis demonstrated that the one-year incidence of composite endpoint events was significantly higher in the frail group( P=0.013).Multivariable Cox regression analysisindicated that frailty was an independent risk factor for composite endpoint events( HR=2.201, 95% CI: 1.089-4.447, P=0.028). Conclusions:Frailty is an independent risk factor for poor outcomes in elderly hospitalized patients with heart failure and should be considered a crucial factor in clinical assessment and treatment strategies.