OBJECTIVE: To investigate the anti-tumor effects of cinobufacini (CINO) on hepatocellular carcinoma (HCC) induced by des-gamma-carboxy-prothrombin (DCP) and to uncover the underlying mechanisms. METHODS: The inhibitory effect of CINO on HCC cell proliferation was evaluated using the cell counting kit-8 method, and the apoptosis rate was quantified using flow cytometry. Immunofluorescence and Western blot analyses were used to investigate the differential expression of proteins associated with cell growth, apoptosis, migration, and invasion pathways after CINO treatment. The therapeutic potential of CINO for HCC was confirmed, and the possibility of combining cinobufacini with c-Met inhibitor for the treatment of primary HCC was further validated by in vivo experiments. RESULTS: Under the induction of DCP, CINO inhibited the activity of HCC cells, induced apoptosis, and inhibited migration and invasion. Upon the induction of DCP, CINO regulated c-Met activation and the activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase (MEK/ERK) pathways. In a mouse model of HCC, CINO exhibited significant antitumor effects by inhibiting the phosphorylation of c-Met and the downstream PI3K/AKT and MEK/ERK pathways in tumor tissues. CONCLUSIONS CINO inhibited HCC cell growth, promoted apoptosis, and suppressed HCC cell invasion and migration by targeting c-Met and PI3K/AKT and MEK/ERK signaling pathways under DCP induction.
Carcinoma, Hepatocellular/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Liver Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Animals ; Humans ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Amphibian Venoms/therapeutic use* ; Cell Line, Tumor ; Neoplasm Metastasis ; Cell Survival/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Neoplasm Invasiveness ; Mice, Inbred BALB C ; Mice, Nude ; Mice ; Male ; Bufanolides/therapeutic use* ; Protein Precursors ; Prothrombin ; Biomarkers

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 assess the effectiveness of the evaluation of military physical function(EMPF)system in predicting the occurrence of military training injuries among new recruits to provide scientific guidance and methodological choice for military training.Methods A total of 527 new recruits from 5 grassroots units from July 2016 to February 2018 were selected for the study.The recruits underwent EMPF testing,and their military training injuries were monitored over a 2-year follow-up period.Those who sustained injuries during training were divided into injury group(n=163),while the remaining recruits were placed in healthy group(n=364).The predictive ability of the total EMPF score for training injuries was assessed using the receiver operating characteristic curve(ROC),and the correlation between the total EMPF score,individual test scores,and military training injuries were analyzed using binary logistic regression.Results The total EMPF score of new recruits in injury group(19.52±1.97)was significantly lower than that of healthy group(24.31±1.54)(P<0.001),which also demonstrated a high diagnostic value in predicting the risk of military training injuries,with an area under the curve(AUC)of ROC of 0.971(P<0.001).A cut-off value of 22 scores was found to have the highest accuracy in predicting future training injuries,with an odds ratio(OR)of 25.63,sensitivity of 0.939,specificity of 0.879,positive likelihood ratio of 7.76,and a post-test probability of 0.67.Binary logistic regression analysis revealed that 6 EMPF tests,including holding the ball over and leaning back,bending forward and touching the ground with the ball,lunge squat and twist,swallow balance with holding the ball afterward,vertical jump,and respiratory pattern assessment,were negatively associated with the risk of military training injuries(P<0.0001).Conclusion The EMPF system can effectively predict the risk of military training injuries,with military personnel whose total EMPF score is less than 22 being at higher risk of sustaining such injuries.

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.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Obiective Alzheimer’s disease (AD) is a degenerative disease of the central nervous system (CNS) caused by a variety of risk factors. There are various pathological changes, but apoptosis of the neurological meridian cells is one of the most important pathological bases. Hyperlipidemia is a high-risk factor for the development of AD, which can lead to increased levels of oxidized low-density lipoprotein (ox-LDL) in brain tissues. PCSK9 is a protease closely related to lipid metabolism, but studies have shown that it may be related to the development of AD. LRP1 is abundantly expressed in neuronal cells, and it is an important transporter for the clearance of Aβ. There is now a large amount of literature confirming that PCSK9 can induce the degradation of LRP1. PI3K/AKT is an important signaling pathway in vivo, which plays an important role in apoptosis, and there is now a large amount of literature confirming that LRP1 activates the PI3K/AKT pathway, which has an anti-apoptotic effect. So can PCSK9 affect the PI3K/AKT pathway through LRP1 and thus regulate neuronal apoptosis? This deserves further investigation.The aim of this study was to explore the role of PCSK9 in mediating ox-LDL pro-apoptotic neuronal cell death and its mechanism, and then further elaborate the mechanism of hyperlipidemia leading to neurodegenerative diseases such as AD. MethodsFirstly, PC12 cells were treated with different concentrations of ox-LDL (0, 25, 50, 75 and 100 mg/L) for 24 h. Oil red O staining was used to detect lipid accumulation in PC12 cells, Hoechst33258 staining and flow cytometry to detect apoptosis in PC12 cells, ELISA to detect the content of Aβ secreted by PC12, Western blot to detect expression of SREBP2, PCSK9 and LRP1. Then PC12 cells were treated with 75 mg/L ox-LDL for different times (0, 6, 12, 24, 48 h), and Western blot were performed to detect the expression of SREBP2, PCSK9 and LRP1. Finally, after transfecting 100 nmol/L PCSK9 siRNA into PC12 cells for 48 h, PC12 cells were treated with 75 mg/L ox-LDL for 24 h, Hoechst33258 staining and flow cytometry to detect apoptosis rate of PC12 cells, and Western blot to detect PCSK9, LRP1, PI3K, AKT, P-PI3K , P-AKT, NF-κB, Bcl-2, Bax, Caspase-9 and Caspase-3 expression, and ELISA detected Aβ content secreted by PC12 cells. Resultsox-LDL increased lipid accumulation and promoted apoptosis and Aβ secretion in PC12 cells, as well as increasing the expression of SREBP2 and PCSK9 and decreasing the expression of LRP1 in PC12 cells. pCsk9 siRNA could be inhibited through the PI3K/AKT pathway and the NF-κB-Bcl-2/Bax-Caspase-9/3 pathway to inhibit ox-LDL-induced apoptosis in PC12 cells while increasing Aβ secretion in PC12 cells. Conclusionox-LDL plays a bidirectional regulatory role in ox-LDL-induced apoptosis of PC12 cells by inducing an increase in PCSK9 expression and a decrease in LRP1 expression in PC12 cells, which in turn affects different signaling pathways downstream.

Objective:To design a fully integrated multi-channel implantable brain-computer interface electrical stimulation system.Methods:The human-computer interaction interface of the upper computer was set by users, and the data was packaged via a self-built protocol. When parameters were transmitted to the field programmable gate array (FPGA) chip through the Bluetooth module, the stimulation chip was controlled after the parameter analysis was completed. Eventually the user-set current stimulation was output. To verify the system feasibility, the accuracy of the single-channel stimulation waveform, the multi-channel output capability, and the adjustable range of the parameter were tested separately.Results:It realized 16 channels of time-sharing differential stimulation current output, the output stimulation current waveform was dual-phase equal-width pulse, the amplitude ranged within 4~1 000 μA, the pulse single-phase width range was 10~1 000 μs, the cycle time was 1~1 000 ms, thus the current parameters could be accurately adjusted.Conclusions:A fully integrated multi-channel implantable brain-computer interface electrical stimulation system was completed.

Exosomes can ameliorate neuronal cell injury induced by hypoxia-ischemia,but the relation-ship between astrocyte-derived exosomes(As-exo)and mitochondrial function,mitochondrial associated ER membrane(MAM)function and whether mitochondrial autophagy is relevant is currently unclear.The aim of this study was to investigate the role of astrocyte-derived exosomes in the regulation of mito-chondrial function,MAM and mitochondrial autophagy in PC 12 cells after oxygen and glucose depriva-tion/reoxygenation(OGD/R).Exosomes were extracted from the supernatant of the astrocyte culture me-dium by ultracentrifugation.Using the live cell imaging system,we observed that fluorescently labeled exosomes could show obvious enrichment in PC 12 cells at 24 h.Meanwhile,co-localization of exosomes with mitochondria could be observed under the laser confocal scanning microscope;mitochondrial pres-sure changes were detected using the Seahorse cellular energy metabolism fractionation instrument.The result showed that basal respiration in the OGD/R group,compared with that in the control group,proton leakage,maximal respiration and ATP-related respiration were significantly reduced(P＜0.05 or P＜0.01),and all four indexes were elevated and statistically significant in the OGD/R+exo group compared with the control group(P＜0.05 or P＜0.01).The results of the co-localization of the mitochondria and ER showed that the structure of the MAM was harmed by oxygen-sugar deprivation and then reoxygen-ation,and the structure of As-exo and the mitochondria appeared to have a distance-reduced polymeriza-tion phenomenon,while the mitochondria and ER co-localized.The co-localization results of mitochondri-a and ER showed that the structure of MAM was damaged by oxygen deprivation and reoxygenation,and the aggregation phenomenon of MAM was weakened by the treatment of As-exo;the flow-through results showed that As-exo could restore the decrease of the mitochondrial membrane potential and the elevation of the ROS by oxygen deprivation to a certain degree.Western blotting showed that As-exo could signifi-cantly inhibit the mitochondrial autophagy-associated tension protein homologue induced hypothetical ki-nase 1(PTEN induced kinase 1(PINK1)and Parkin protein(parkin RBR E3 ubiquitin protein ligase(Parkin))were elevated,and the addition of As-exo decreased LC3 Ⅱ/LC3 Ⅰ protein expression,ele-vated P62 protein expression,and reduced OGD/R-induced mitochondrial autophagy.The results showed that OGD/R treatment can cause mitochondrial dysfunction,MAM structural changes and increased mito-chondrial autophagy in PC12 cells,and As-exo treatment can improve mitochondrial function,attenuate the formation of MAM,and reduce mitochondrial autophagy in PC 12 cells,which can have the potential of preventing the reperfusion injury in ischemic stroke.

Objective To investigate the effect of transcranial alternating current stimulation(tACS)on cerebral blood flow(CBF)in patients with Alzheimer's disease(AD).Methods A ret-rospective study was conducted on 21 mild AD patients admitted in our hospital from September 2019 to April 2022.All of them received tACS treatment for 3 weeks.Mini-mental state examina-tion(MMSE),auditory verbal learning test(AVLT)and MRI were applied to obtain the data at baseline(T0),the end of the treatment(T1)and in three months after treatment(T2).Z-trans-form CBF(zCBF)was performed to reduce individual variability.The changes in MMSE and AVLT scores,as well as brain zCBF and CBF values before and after tACS treatment were ana-lyzed.Spearman correlation analysis was used to examine the relationship of zCBF and CBF with cognitive scores.Results In the AD patients,their MMSE score was significantly increased at T1 than at T0[22.00(20.00,25.00)vs 20.00(18.00,21.50),P＜0.01].Based on voxel analysis,the AD patients exhibited significantly increased zCBF in the bilateral frontal and temporal cortex at T1,and in the right frontal and temporal cortex at T2 when compared with the levels at T0(P＜0.05).The most pronounced increase in zCBF was observed in the right insular.Based on region of inter-est analysis,increased zCBF and CBF in the right frontal and temporal cortex at T1 were observed(P＜0.05).There was a positive correlation between the change of CBF in the right frontal cortex and AVLT-recognition recall at T1(r=0.617,P=0.005)and between the change of CBF in the left frontal cortex and MMSE at T2(r=0.596,P=0.012).Conclusion MRI 3D-ASL can objec-tively evaluate the changes of CBF in AD patients after tACS treatment,and it provides a reliable imaging marker for evaluating the efficacy of tACS.

Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.