Objective To compare the dosimetric differences, plan complexity, verification pass rate, and execution efficiency of volumetric modulated arc therapy (VMAT) plans designed for post-mastectomy radiotherapy of breast cancer using Halcyon 2.0 and VitalBeam accelerators in flattening filter-free mode. Methods A retrospective analysis was conducted on imaging data from 87 female breast cancer patients aged 29 to 75 (49.9 ± 9.9) years who underwent modified radical mastectomy followed by radiotherapy. VMAT plans were designed using both VitalBeam and Halcyon accelerators in flattening filter-free mode. The dosimetric parameters, plan complexity, verification pass rate, and execution efficiency were compared between the plans designed for both accelerators, with a significance level of P<0.05. Results In terms of target volume parameters, Halcyon 2.0 plans demonstrated superior homogeneity index and conformity index. For organs at risk, the Halcyon 2.0 plans showed lower doses for the lungs (D_20% and D_mean) and heart (D_mean) compared to the VitalBeam plans (all P<0.05). Regarding plan complexity, Halcyon 2.0 plans exhibited better median average aperture area variation (0.35 ± 0.02), smaller aperture score, and larger median plan aperture area than VitalBeam plans (all P<0.05). However, VitalBeam plans had a superior median modulation complexity score (0.28 ± 0.01) compared to Halcyon 2.0 plans (P<0.05). Patient plans were assessed using the ArcCHECK phantom, revealing higher pass rates and significantly shorter execution time for Halcyon plans compared to VitalBeam plans (P<0.05). Conclusion Both Halcyon 2.0 and VitalBeam accelerators can provide high-quality VMAT plans for postoperative radiotherapy of breast cancer, with excellent verification pass rates ensuring treatment accuracy and efficacy. However, Halcyon 2.0 offers lower plan complexity, simplifies the treatment planning process, and reduces execution time, thereby achieving higher treatment efficiency and demonstrating greater advantages in clinical applications.

BACKGROUND: Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood. METHODS: A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000 km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170 ms to 320 ms and bandwidth from 15-20 Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons. RESULTS: All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866 min. The operations were completed with latency up to 320 ms and bandwidths as low as 1-5 Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions. CONCLUSIONS This telesurgery system demonstrated safety and reliability. A total of 320 ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.
Animals ; Robotic Surgical Procedures/methods* ; Laparoscopy/methods*

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

ObjectiveTo classify subtypes among middle-aged and elderly type 2 diabetes mellitus (T2DM) patients aged between 35‒74 years in Shanghai suburbs, to compare their characteristics and analyze incidence risk for cerebrovascular disease among these subtypes, so as to promote personalized and precise treatment of T2DM. MethodsA total of 7 792 patients with T2DM who completed a baseline survey from 2016 and 2019 were selected as the research subjects, based on the data from a natural population cohort and biobank in Shanghai suburbs. Patients were stratified by gender and clustered into subtypes using k-means method based on baseline parameters including the age at T2DM diagnosis, body mass index (BMI), fasting blood glucose, and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C). Patients were followed up until March 31, 2023. Multivariate Cox regression models were used to analyze the association between subtypes and incidence risk for cerebrovascular disease, and those with cerebrovascular disease within 1 year of follow-up survey were excluded from sensitivity analysis. ResultsAmong the 7 792 patients with T2DM, 3 615 were males and 4 177 were females. Stratified by gender, 4 subgroups were identified through k-means clustering analysis, namely poor blood glucose control subgroup, severe insulin-resistant subgroup, younger onset subgroup, and older onset subgroup. The median follow-up time was 4.30 years, during which 1 960 cerebrovascular disease events were observed (844 in males, 1 116 in females). After adjusting for smoking, alcohol consumption, weekly exercise, family history of diabetes mellitus, and duration of diabetes mellitus, among male patients, the incidence risk for cerebrovascular disease was lower in the younger onset subgroup (HR=0.59, 95%CI: 0.48‒0.73, P<0.001), poor blood glucose control subgroup (HR=0.81, 95%CI: 0.65‒1.00, P=0.046), and severe insulin-resistant subgroup (HR=0.61, 95%CI: 0.50‒0.75, P<0.001), compared to the older onset subgroup. While among female patients, the incidence risk for cerebrovascular disease was also lower in the younger onset subgroup (HR=0.68, 95%CI: 0.57‒0.80, P<0.001), poor blood glucose control subgroup (HR=0.73, 95%CI: 0.60‒0.89, P=0.002), and severe insulin-resistant subgroup (HR=0.72, 95%CI: 0.61‒0.85, P<0.001), compared to the older onset subgroup. Results of the sensitivity analysis were consistent with the main findings. ConclusionAmong middle-aged and elderly T2DM patients in suburban Shanghai, both male and female patients have the highest incidence risk for cerebrovascular disease in the older onset subgroup. Subtyping of T2DM patients can help to identify the high-risk populations of cerebrovascular disease.

Background::Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer associated with poor prognosis and limited treatment options. The androgen receptor (AR) has emerged as a potential therapeutic target for luminal androgen receptor (LAR) TNBC. However, multiple studies have claimed that anti-androgen therapy for AR-positive TNBC only has limited clinical benefits. This study aimed to investigate the role of AR in TNBC and its detailed mechanism.Methods::Immunohistochemistry and TNBC tissue sections were applied to investigate AR and nectin cell adhesion molecule 4 (NECTIN4) expression in TNBC tissues. Then, in vitro and in vivo assays were used to explore the function of AR and estrogen receptor beta (ERβ) in TNBC. Chromatin immunoprecipitation sequencing (ChIP-seq), co-immunoprecipitation (co-IP), molecular docking method, and luciferase reporter assay were performed to identify key molecules that affect the function of AR. Results::Based on the TNBC tissue array analysis, we revealed that ERβ and AR were positive in 21.92% (32/146) and 24.66% (36/146) of 146 TNBC samples, respectively, and about 13.70% (20/146) of TNBC patients were ERβ positive and AR positive. We further demonstrated the pro-tumoral effects of AR on TNBC cells, however, the oncogenic biology was significantly suppressed when ERβ transfection in LAR TNBC cell lines but not in AR-negative TNBC. Mechanistically, we identified that NECTIN4 promoter –42 bp to –28 bp was an AR response element, and that ERβ interacted with AR thus impeding the AR-mediated NECTIN4 transcription which promoted epithelial–mesenchymal transition in tumor progression. Conclusions::This study suggests that ERβ functions as a suppressor mediating the effect of AR in TNBC prognosis and cell proliferation. Therefore, our current research facilitates a better understanding of the role and mechanisms of AR in TNBC carcinogenesis.

Objective To observe the clinical efficacy of intravenous transplantation of human umbilical cord blood mononuclear cells(hUCB-MNC)in the treatment of patients with mild-to-moderate Alzheimer disease(AD).Methods Fifty patients with mild-to-moderate AD were randomly divided into treatment group and control group,with 25 cases in each group.The treatment group received intravenous infusion of hUCB-MNC,while the control group was given donepezil hydrochloride by oral administration.The course of treatment was 12 weeks in both groups.We evaluated 1H-proton magnetic resonance spectroscopy(1H-MRS)parameters[N-acetylaspartate/creatinine(NAA/Cr),choline/cre-atinine(Cho/Cr),inositol/creatinine(mI/Cr),and N-acetylaspartate/inositol(NAA/mI)ratios],urinary AD7c-NTP level,and Montreal Cognitive Assessment(MoCA)score in both groups before and after treatment.Results After treat-ment,the treatment group showed significant increases in the total MoCA score and the score of each cognitive domain;and the treatment group had significant greater improvements in memory,visuospatial and executive function,attention,and orientation than the control group(all P<0.05).After treatment,the treatment group showed significantly increased NAA/Cr,Cho/Cr,and NAA/mI ratios and a significantly decreased mI/Cr ratio;and the improvements in NAA/Cr,Cho/Cr,NAA/mI,and mI/Cr were significantly greater in the treatment group than in the control group(all P<0.05).The uri-nary AD7c-NTP level in the treatment group was significantly reduced after treatment,and the improvement was signifi-cantly better compared with the control group(both P<0.05).Conclusion Intravenous transplantation of hUCB-MNC can significantly improve memory,visuospatial and executive function,and other cognitive domains as well as brain me-tabolism and neuronal damage in patients with mild-to-moderate AD.1H-MRS and urinary AD7c-NTP evaluations can pro-vide new ideas for the clinical treatment of AD.

Acute respiratory distress syndrome (ARDS) refers to acute diffuse lung injury caused by a variety of intrapulmonary and/or extrapulmonary factors such as infection and trauma. Uncontrolled inflammatory response is the main pathological feature. Different functional states of alveolar macrophages have different effects on inflammatory response. Transcription activating factor 3 (ATF3) is a fast response gene in the early stage of stress. In recent years, it has been found that ATF3 plays an important role in regulating the inflammatory response of ARDS by regulating the function of macrophages. This paper reviews the regulatory effects of ATF3 on alveolar macrophage polarization, autophagy and endoplasmic reticulum stress and its effects on the inflammatory process of ARDS, aiming to provide a new research direction for the prevention and treatment of ARDS.

Objective:To explore the mechanism of Ma-Xing Shi-Gan decoction combined with Xiao-Chai-Hu decoction (hereinafter referred to as " Sanyang combined treatment" ) in alleviating colon injury in mice infected with influenza virus by transcriptome sequencing technique.Methods:The mouse model of colonic injury caused by influenza virus was induced by intranasal drip of influenza A virus H1N1 suspension. The mice were divided into Control group, Model group, and Sanyang combined treatment (SCT) group. Model group and SCT group were fed with PBS and Ma-Xing Shi-Gan decoction combined with Xiao-Chai-Hu decoction respectively. Seven days later, the colon tissues of each group were taken, the colon length and pathological damage were observed, and the transcriptome was sequenced to screen the significantly different genes between the SCT group and model group for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis(GSEA).Results:After the therapy with SCT, the length of the colon of mice was significantly improved and the pathological injury of the colon was reduced. There are 92 differentially expressed genes between the SCT group and the model group. GO analysis indicated that the differential genes were enriched in biological processes such as regulation of cytokine and chemokine production, inflammatory response, defense response, immune response, regulation of NF-κB inducing kinase(NIK)/Nuclear factor-κB(NF-κB) signal and Mitogen-activated protein kinase(MAPK) cascade, as well as cell components related to intestinal barrier such as brush border membrane, brush border and microvilli. KEGG analysis indicated that the differential genes were enriched in Toll-like receptor signaling pathway, intestinal immune network for IgA production, complement and coagulation cascade, and Peroxisome proliferator-activated receptor(PPAR) signaling pathway. GSEA indicated that the intestinal immune network for IgA production, PPAR signaling pathway, propionic acid metabolism and butyrate metabolism were significantly up-regulated after the intervention with SCT, while apoptosis and MAPK signaling pathway were significantly down-regulated.Conclusions:Sanyang combined therapy can protect the intestinal tract of mice infected with influenza virus mainly through immunity, inflammation and metabolism pathways.

The massive accumulation of β-amyloid （Aβ） in the brain is believed to be the first pathological mechanism of Alzheimer's disease （AD）， and the accumulation is mainly resulted from the overproduction and dysfunction in the clearance. Extensive and in-depth research has been carried out on AD. In addition to the drugs which are commonly used in clinical settings to improve cognitive function， Aβ monoclonal antibody aducanumab （Aduhelm） has been successfully marketed in the US， which may delay the progress of AD. Thus， it is a potential method for the treatment of AD to target Aβ， but it is expensive， with many adverse reactions and contraindications， which hinders the clinical promotion. Traditional Chinese medicine， featuring multiple components， multiple targets， multiple pathways， and high safety， can regulate the level of Aβ deposition in the brain， alleviate neurotoxicity， and prevent and treat AD by inhibiting the production and aggregation of Aβ and promoting the clearance in the brain. Berberine， gallic acid， osthole， scutellaria barbata flavonoids， Huannao Yicong decoction and Ditantang can promote α-secretase and inhibit the activity and expression of β- and γ-secretase， thus reducing production of Aβ. Baicalein， aloe-emodin， gallic acid， and curcumin can suppress the aggregation of Aβ， promote its depolymerization， and reduce the toxic effect of Aβ on nerve cells by interacting with the hydrophobic structure of Aβ and the H bond， salt bridge， and β-sheet that mediate the aggregation of Aβ. Curcumin and resveratrol can promote the expression of triggering receptor 2 in bone marrow cells of microglia and the migration and phagocytosis of Aβ in microglia. Bilobalide， Kaixinsan and curcumin can up-regulate the expression of encephalin-degrading enzyme and insulin degrading enzyme to promote Aβ degradation， and geniposide， dihydrotanshinone， dihydroartemisinin， and curcumin can degrade Aβ in cells by activating normal autophagy or inhibiting abnormal autophagy. Cycloastragenol， Danggui Shaoyaosan， Yizhi Fangdai formula and Linggui Zhugan decoction can promote the outflow of Aβ and inhibit the inflow of Aβ by improving the integrity and permeability of the blood-brain barrier （BBB）. Yizhi Fangdai formula and Xueshuantong can promote the polarization of aquaporin 4（AQP4）， allow Aβ to be cleared through the lymphatic system， and reduce the aggregation of Aβ in the brain， thereby relieving or preventing nerve cell damage and improving cognitive function. The above summary aims to provide more sufficient evidence and ideas for the clinical treatment of AD with traditional Chinese medicine.