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.

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.

Signal transducer and activator of transcription 3 (STAT3) is aberrantly expressed in a variety of cancer stem cells,and it strongly correlated with cellular carcinogenesis.Therefore,designing and in-vestigating new STAT3 inhibitors is an important and effective strategy to combat cancer.In this paper,we propose a novel STAT3 inhibitor design method based on the recurrent neural network (RNN) algo-rithm,and evaluate the effectiveness of this method through molecular simulation studies.We first used the RNN algorithm to construct a STAT3 inhibitor generation model,so that it can generate brand new in-hibitors.Then based on machine learning algorithms,we established a molecular classification prediction model for STAT3 inhibitors,conducted a hierarchical virtual screening based on molecular docking on molecules classified as STAT3 inhibitors,and selected three molecules with the highest scores in the extra precision (XP) screen,which as potential inhibitors for the next step of the study.The potential inhibi-tors were subjected to binding free energy computation,and tprediction of absorption,distribution,me-tabolism,excretion toxicity (ADMET) .In addition,an independent gradient model (IGM) analysis was used to further explore the pharmacogenetic properties.The experimental results in this paper show that novel potential STAT3 inhibitors with good drugability can be effectively generated by using the above methods.In sum,our work can provide a reference for subsequent STAT3 drug development.

Signal transducer and activator of transcription 3 (STAT3) is aberrantly expressed in a variety of cancer stem cells,and it strongly correlated with cellular carcinogenesis.Therefore,designing and in-vestigating new STAT3 inhibitors is an important and effective strategy to combat cancer.In this paper,we propose a novel STAT3 inhibitor design method based on the recurrent neural network (RNN) algo-rithm,and evaluate the effectiveness of this method through molecular simulation studies.We first used the RNN algorithm to construct a STAT3 inhibitor generation model,so that it can generate brand new in-hibitors.Then based on machine learning algorithms,we established a molecular classification prediction model for STAT3 inhibitors,conducted a hierarchical virtual screening based on molecular docking on molecules classified as STAT3 inhibitors,and selected three molecules with the highest scores in the extra precision (XP) screen,which as potential inhibitors for the next step of the study.The potential inhibi-tors were subjected to binding free energy computation,and tprediction of absorption,distribution,me-tabolism,excretion toxicity (ADMET) .In addition,an independent gradient model (IGM) analysis was used to further explore the pharmacogenetic properties.The experimental results in this paper show that novel potential STAT3 inhibitors with good drugability can be effectively generated by using the above methods.In sum,our work can provide a reference for subsequent STAT3 drug development.

C-Glycosides are important natural products with various bioactivities. In plant biosynthetic pathways, the C-glycosylation step is usually catalyzed by C-glycosyltransferases (CGTs), and most of them prefer to accept uridine 5'-diphosphate glucose (UDP-Glc) as sugar donor. No CGTs favoring UDP-rhamnose (UDP-Rha) as sugar donor has been reported, thus far. Herein, we report the first selective C-rhamnosyltransferase VtCGTc from the medicinal plant Viola tricolor. VtCGTc could efficiently catalyze C-rhamnosylation of 2-hydroxynaringenin 3-C-glucoside, and exhibited high selectivity towards UDP-Rha. Mechanisms for the sugar donor selectivity of VtCGTc were investigated by molecular dynamics (MD) simulations and molecular mechanics with generalized Born and surface area solvation (MM/GBSA) binding free energy calculations. Val144 played a vital role in recognizing UDP-Rha, and the V144T mutant could efficiently utilize UDP-Glc. This work provides a new and efficient approach to prepare flavonoid C-rhamnosides such as violanthin and iso-violanthin.

Aim To investigate the effect of TRPC5 gene on the inflammation of cliabetie cardiomyopathy.Methods The biological functions of TRPC5 and the correlation between TRPC5 gene and other genes were analyzed by bioinformatics.Studies were performed in TRPC5 knockout ( TRPC5 ) and C57 mice.Mice were randomly divided into blank control and T2DM model groups, and the model was established by intraperitoneal injection of STZ (n = 10).The myocardial injury was detected by HE and Masson staining.Hie level of serum IL-1(3, IL-2, IL-6, IFN-7 and creatine kinase was examined by ELISA.Gene and protein expressions of IL-1(3, IL-2, IL-6 and TRPC5 were analysed by RT-PCR and Western blot respectively.Results By constructing the PPI network and analyses.the TRPC5 gene was identified to internet with a variety inflammatory genes and involved in immunity.The result of pathologieal section showed less myocardial damage and infiltrated immune cells in TRPC5 mice than in C57BL/6J mice.RT-PCR and serum results showed a lower expression of inflammatory factors in myocardium and serum obtained from TRPC5 model mice than in those obtained from C57BL/6J model mice.Conclusions TRPC5 participates in the development of dilated cardiomyopathy by regulating cardio- myocyte inflammation.

Objective: The aim of this study is to discover the possible working mechanisms of Ardisiae Japonicae Herba (AJH) on hepatoma carcinoma (HCC). Methods: In this study, ethanol extract of AJH was prepared and used to treat HCC cell in vitro. Furthermore, a genomic wide RNA sequencing (RNA-seq) was performed to screen deregulated genes in HCC cells after the treatment of AJH extract. The gene and protein expression related to lipid metabolism in HCC cells were also investigated to validate the results obtained from RNA-seq. Results: AJH extract could inhibit HCC cell proliferation in vitro. RNA-seq analysis has identified 1,601 differentially expressed genes (DEGs, fold change ≥ 2.0 or fold change ≤ 0.5, P < 0.05) in HCC after AJH extract treatment, which included 225 up-regulated genes and 1,376 down-regulated genes. KEGG pathway analysis of DEGs demonstrated that lipid metabolism was a potential pathway related to AJH treatment. In agreement with the RNA-seq data, qPCR and Western-blot analysis indicated that expression of genes and proteins related to lipid metabolism (SREBP1, ACC, ACLY and FASN) were significantly down-regulated in AJH treatment group as compared with the control group. Furthermore, AJH extract could also decrease lipid contents and cellular free fatty acid levels in HCC cells. Conclusion: Ethanol extract of AJH could inhibit HCC cell proliferation in vitro, the possible mechanism may be related to the inhibition of lipid metabolism.

Objective In this study,we investigated the relationship between oxidative stress,selenoproteins level and onset of Keshan disease (KD) through detecting the expression of 8-hydroxy-2-deoxy guanosine (8-OH-dG),thioredoxin reductase 1 (TrxR1) and glutathione peroxidase 1 (GPx1) in myocardial tissue.Methods Myocardium samples of autopsy patients including 8 cases of KD (KD group included 4 acute KD and 4 chronic KD) and 9 cases of non-KD (control group) were immunohistochemically stained for 8-OH-dG,TrxR1 and GPx1.The staining intensities subsequently quantified by using Olympus Image-Pro Plus 6.0 software.Results The positive rate of 8-OH-dG expression in myocardial nuclei was higher in the case group[(68.6 ± 20.4)％] than that of the control group[(2.4 ± 1.5)％,t =8.515,P ＜ 0.05].In addition,the positive rate of 8-OH-dG expression in acute KD[(91.7 ± 3.7)％] was significantly higher than that of chronic KD[(53.2 ± 7.9)％,t =6.409,P＜0.05].The distribution of TrxR1 and GPx1 was not associated with the distribution of myocardial damage.The expression of these two selenoproteins in KD group (401340 ± 59865,497590 ± 197082) were both lower than that of control group(2790300 ± 379298,1348400 ±615840; t =-28.493,-6.016,respectively,all P＜0.01).Conclusions Oxidative damage is detected in myocardium tissue of KD,and 8-OH-dG expression is associated with the degree of myocardial damage in KD.Selenoproteins,TrxR1 and GPx1,may be closely related to the pathogenesis of KD.

OBJECTIVETo evaluate the potential role of hepatocyte growth factor (HGF) combined with bone marrow mesenchymal stem cells (BMSC) autograft for the treatment of silicosis.

METHODSBone marrow (100 ml) was aspirated from a severe silicosis patient. BMSCs isolated, purified and cultured in vitro. When BMSC came to 70% confluence at passage 3, the culture medium was added liposomes (lipo2000) and plasmid-HGF (p-HGF) and cultured for 2 d. HGF-MSCSs (5 × 10(7) cells) were resuspended in 50 ml 0.9% sodium chloride (NS) and infused Intravenous drip at 3 consecutive times (once a week). Clinical follow-up were performed before and after treatment: (1) pulmonary high-kV X-ray, chest CT examination; (2) pulmonary function test; (3) determination of serum ceruloplasmin.

RESULTSThe symptoms such as coughing, chest tightness disappeared at 12 months after treatment. Pulmonary function tests showed significant changes after treatment: forced vital capacity (FVC) increased from 64.6% to 81.0%, forced expiratory volume in one second (FEV(1.0)) increased from 68.7% to 90.1%, 1 second rate (FEV(1.0)/FVC%) reduced from 111.6% to 107.1%, the maximum mid-expiratory flow (FEF(25%∼75%) decreased from 100.2% to 94.6%, forced expiratory vital capacity 75% of the moment bit of gas flow (MEF(75%)) increased from 99.2% to 113.5%, forced expiratory vital capacity 50% of the moment bit of gas flow (MEF(50%)) increased from 125.3% to 130.2%, forced expiratory vital capacity 25% of the moment bit of gas flow (MEF(25%)) reduced from 86.9% to 71.7%; serum ceruloplasmin levels decreased from 690 mg/L to 180.6 mg/L; lung high-kV X-ray at 1st review showed that diffuse lung nodules had been absorbed and getting smaller than before treatment; chest CT showed that the distribution and number of small nodules at double lung fields decreased than before treatment.

CONCLUSIONHGF combined with BMSC transplantation may have some potential role for the treatment of silicosis patients.

Adult ; Bone Marrow Transplantation ; Female ; Follow-Up Studies ; Hepatocyte Growth Factor ; therapeutic use ; Humans ; Mesenchymal Stem Cell Transplantation ; Silicosis ; therapy ; Treatment Outcome

AIMTo investigate the effects of ramipril on myocardial ischemia/reperfusion injury in diabetic rats, and to explore its mechanism according to the observation on myocardial ultrastructure.

METHODSStreptozotocin induced diabetic rats were divided randomly into three groups (n = 16): ischemia/reperfusion (I/R), ischemic preconditioning (IPC) and ramipril (RAM) group. Rats in RAM group were administered by RAM(1 mg x kg(-1) x d(-1)) orally for 4 weeks, the others were administered by normal saline. Then all rats were subjected to myocardial ischemia/ reperfusion injury. Rats in IPC group were preconditioned before ischemia. The ECG and the infarct size were examined. The changes of myocardial morphology were examined by light and electron microscopes.

RESULTSCompared with I/R group, the elevation of ST segment and the incidence of ventricular tachycardia and ventricular fibrillation during ischemia were significantly decreased, the infarct size at the end of reperfusion was remarkably reduced, the myocardial morphology were significantly improved, special structure of myofilaments and mitochondria remained clearly, blood vessels were unobstructed, injury of endothelium were decreased in PC and RAM groups.

CONCLUSIONRamipril administered for 4 weeks induces myocardial protection in diabetic rats, which is similar to that of IPC. The mechanism may be involved in protection of cardiocytes and mitochondria, and improvement of endothelial function.

Animals ; Cardiotonic Agents ; pharmacology ; Diabetes Mellitus, Experimental ; complications ; Ischemic Preconditioning, Myocardial ; methods ; Myocardial Reperfusion Injury ; pathology ; prevention & control ; Myocardium ; ultrastructure ; Ramipril ; pharmacology ; Rats