With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

OBJECTIVE: To investigate the effectiveness of Xuanshen Yishen Decoction (XYD) in the treatment of hypertension. METHODS: Hospital electronic medical records from 2019-2023 were utilized to emulate a randomized pragmatic clinical trial. Hypertensive participants were eligible if they were aged ⩾40 years with baseline systolic blood pressure (BP) ⩾140 mm Hg. Patients treated with XYD plus antihypertensive regimen were assigned to the treatment group, whereas those who followed only antihypertensive regimen were assigned to the control group. The primary outcome assessed was the attainment rate of intensive BP control at discharge, with the secondary outcome focusing on the 6-month all-cause readmission rate. RESULTS: The study included 3,302 patients, comprising 2,943 individuals in the control group and 359 in the treatment group. Compared with the control group, a higher proportion in the treatment group achieved the target BP for intensive BP control [8.09% vs. 17.5%; odds ratio (OR)=2.29, 95% confidence interval (CI)=1.68 to 3.13; P<0.001], particularly in individuals with high homocysteine levels (OR=3.13; 95% CI=1.72 to 5.71; P<0.001; P for interaction=0.041). Furthermore, the 6-month all-cause readmission rate in the treatment group was lower than in the control group (hazard ratio=0.58; 95% CI=0.36 to 0.91; P=0.019), and the robustness of the results was confirmed by sensitivity analyse. CONCLUSIONS XYD could be a complementary therapy for intensive BP control. Our study offers real-world evidence and guides the choice of complementary and alternative therapies. (Registration No. ChiCTR2400086589).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Antihypertensive Agents/pharmacology* ; Blood Pressure/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Hypertension/physiopathology* ; Patient Readmission ; Treatment Outcome

Metachromatic leukodystrophy (MLD) is an inherited disease caused by a deficiency of the enzyme arylsulfatase A (ARSA). Lentivirus-modified autologous hematopoietic stem cell gene therapy (HSCGT) has recently been approved for clinical use in pre and early symptomatic children with MLD to increase ARSA activity. Unfortunately, this advanced therapy is not available for most patients with MLD who have progressed to more advanced symptomatic stages at diagnosis. Patients with late-onset juvenile MLD typically present with a slower neurological progression of symptoms and represent a significant burden to the economy and healthcare system, whereas those with early onset infantile MLD die within a few years of symptom onset. We conducted a pilot study to determine the safety and benefit of HSCGT in patients with postsymptomatic juvenile MLD and report preliminary results. The safety profile of HSCGT was favorable in this long-term follow-up over 9 years. The most common adverse events (AEs) within 2 months of HSCGT were related to busulfan conditioning, and all AEs resolved. No HSCGT-related AEs and no evidence of distorted hematopoietic differentiation during long-term follow-up for up to 9.6 years. Importantly, to date, patients have maintained remarkably improved ARSA activity with a stable disease state, including increased Functional Independence Measure (FIM) score and decreased magnetic resonance imaging (MRI) lesion score. This long-term follow-up pilot study suggests that HSCGT is safe and provides clinical benefit to patients with postsymptomatic juvenile MLD.
Humans ; Leukodystrophy, Metachromatic/genetics* ; Pilot Projects ; Genetic Therapy/methods* ; Hematopoietic Stem Cell Transplantation ; Male ; Follow-Up Studies ; Female ; Lentivirus/genetics* ; Child ; Child, Preschool ; Hematopoietic Stem Cells/metabolism* ; Cerebroside-Sulfatase/metabolism* ; Adolescent

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To develop a simplified DNA model tailored for Monte Carlo track structure simulations and investigate the influence of microstructural variations at the scale of several base pairs on the physical simulation of proton-induced biological effects, providing a novel approach to enhance the efficiency of modeling and computational processes in proton radiotherapy simulations.Methods:A circular double-helix DNA molecule consisting of 4 362 base pairs was constructed based on the pBR322 plasmid structure. These molecules were evenly distributed without overlap within a spherical region at the center of a water phantom, representing the cellular nucleus. Integrated into the GPU-based gMicroMC code framework, the model facilitated simulations to calculate proton-induced double-strand break (DSB) yields across three distinct models with twist angles of 20°, 36°, and 72° between adjacent nucleotide pairs. Comparative analyses were conducted to assess differences among these models.Results:Intra-model analyses revealed a consistent decrease in proton-induced DSB yields with increasing initial energy. Under proton irradiation at different energies, the DSB yields for the three models followed the order 72°>36°>20°, with intergroup relative differences exceeding 34.6%. Comparative RBE calculations suggested that models with twist angles between 36° and 72° may better replicate proton-induced damage observed in V79 cells.Conclusions:By strategically simplifying the separation of macroscopic and microscopic levels of DNA structure, adjustments to microstructural parameters can be effectively implemented to refine the model, thereby enhancing the efficiency of modeling and physical simulations. This methodology shows potential as a model for simulating relative biological effectiveness (RBE) in proton therapy planning.

Aim To investigate the molecular mecha-nisms of the Wenyang Huazhuo Tongluo formula in in-hibiting endothelial-to-mesenchymal transition(En-doMT)of pulmonary microvascular endothelial cells and improving pulmonary microvascular injury in sys-temic sclerosis(SSc).Methods Pulmonary micro-vascular endothelial cells were cultured with serum from SSc patients to establish SSc pulmonary microvas-cular endothelial cells.A hypoxia model was estab-lished in SSc pulmonary microvascular endothelial cells using liquid paraffin sealing,and the cells were treated with the Wenyang Huazhuo Tongluo formula or HIF-1a inhibitor KC7F2.Western blot was used to detect the protein expression levels of VE-cadherin,CD31,vimen-tin,HIF-1α,Foxm1,smad3,Tie-1,and vWF.ELISA was used to measure the concentrations of E-selectin and ICAM-1 in cell culture medium.The luciferase re-porter gene system was used to detect the promoter ac-tivity of the Foxm1 gene.Results Compared to the control group,the levels of VE-cadherin,CD31,HIF-1α,Foxm1,smad3,Tie-1,and vWF significantly de-creased under hypoxic condition,while the levels of vi-mentin,E-selectin,and ICAM-1 significantly in-creased.In addition,the cell morphology exhibited a distinct"spindle-like"myoblast morphology.Treat-ment with the Wenyang Huazhuo Tongluo formula or KC7F2 reversed these changes in protein expression levels and cell morphology induced by hypoxia.Con-clusion The Wenyang Huazhuo Tongluo formula im-proves pulmonary microvascular injury in SSc by inhib-iting the HIF-1a/Foxm1/smad3 pathway-mediated En-doMT of pulmonary microvascular endothelial cells.

Objective:To develop a simplified DNA model tailored for Monte Carlo track structure simulations and investigate the influence of microstructural variations at the scale of several base pairs on the physical simulation of proton-induced biological effects, providing a novel approach to enhance the efficiency of modeling and computational processes in proton radiotherapy simulations.Methods:A circular double-helix DNA molecule consisting of 4 362 base pairs was constructed based on the pBR322 plasmid structure. These molecules were evenly distributed without overlap within a spherical region at the center of a water phantom, representing the cellular nucleus. Integrated into the GPU-based gMicroMC code framework, the model facilitated simulations to calculate proton-induced double-strand break (DSB) yields across three distinct models with twist angles of 20°, 36°, and 72° between adjacent nucleotide pairs. Comparative analyses were conducted to assess differences among these models.Results:Intra-model analyses revealed a consistent decrease in proton-induced DSB yields with increasing initial energy. Under proton irradiation at different energies, the DSB yields for the three models followed the order 72°>36°>20°, with intergroup relative differences exceeding 34.6%. Comparative RBE calculations suggested that models with twist angles between 36° and 72° may better replicate proton-induced damage observed in V79 cells.Conclusions:By strategically simplifying the separation of macroscopic and microscopic levels of DNA structure, adjustments to microstructural parameters can be effectively implemented to refine the model, thereby enhancing the efficiency of modeling and physical simulations. This methodology shows potential as a model for simulating relative biological effectiveness (RBE) in proton therapy planning.

Abstract：Objective To predict the structure and function of sterol O⁃acyltransferase 1（SOAT1）related to hepatocellular carcinoma（HCC）by using bioinformatics tools，in order to understand its mechanism as the marker and therapeutic target of S⁃Ⅲ subtype. Methods The structure，function and protein interaction of SOAT1 were predicted and analyzed by using databases or softwares such as NCBI，STRING，Protscale，SignalP，TMHMM，PSORT，SOPMA，SWISS ⁃ MODEL， NetNGlyc，NetOGlyc，Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with good stability，which was a nonclassical pathway protein with 8 transmembrane regions，mainly distributed among the cell membrane. SOAT1 was expressed in many tissues，while most of them in the adrenal gland，which showed multiple phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important role，and lipid expression was closely related to the development of cancer，indicating that the treatment of HCC may be achieved by regulating the expression of SOAT1 gene.

ObjectiveTo investigate the feasibility of multiparametric MRI （mpMRI） combined with histogram analysis of apparent diffusion coefficient （ADC） in the assessment of patients with variant histology （VH） of urothelial carcinoma （UC）. MethodWe retrospectively analyzed the data of patients pathologically diagnosed with UC who underwent mpMRI in the First Affiliated Hospital of Sun Yat-sen University between March 2015 and March 2023. The patients were divided into VH group （urothelial carcinoma mixed with other histologies） and non-VH group （pure urothelial carcinoma） according to pathological results. We performed propensity score 1：1 nearest-neighbor matching on the two groups based on age and gender and 49 patients were included in each group. The regions of interest （ROIs） of the whole tumor were delineated manually by using ITK-SNAP software and Pyradiomics was applied to extract ADC histogram parameters. We compared the clinicopathological data， MRI morphological features and ADC histogram parameters between the groups. Multivariate logistic regression was used to identify independent risk factors and construct the prediction model. Receiver operating characteristic （ROC） curve analyses were performed to evaluate the diagnostic performance of these parameters for determining VH of UC. ResultsMRI morphological features including the lesion shape， vesical imaging-reporting and data system （Ⅵ-RADS）score， enhancement pattern and suspicious lymph node metastasis were markedly different between the two groups （all P < 0.05）. ADC _mean， ADC _median， ADC_25th， ADC_75th， ADC_10th and ADC_90th were significantly lower in patients with VH than those in non-VH group （all P<0.05）. Multivariate logistic regression analysis showed enhancement pattern， ADC_25th， ADC_75th and ADC mean were independent predictors （P < 0.05）. The combined model yielded the best predictive performance， with an area under the ROC curve （AUC） of 0.91 （95% CI： 0.83-0.96）. ConclusionsMpMRI combined with whole-tumor histogram analysis of ADC can serve as a reliable method for evaluating the presence of VH in UC， further to assist the clinical decision making.

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China