Objective To investigate the clinical characteristics and management strategies of spinal infarction(SCI)combined with hypoxic-ischemic encephalopathy(HIE).Methods We report a case of SCI induced by cardiopulmonary arrest in a patient admitted to the General Hospital of Southern Theater Command in June 2021.A review of the relevant literature published in PubMed and CNKI from January 2014 to March 2024,was conducted to summarize the etiology,features,and treatment approaches for SCI.Results The patient presented with clinical features of quadriplegia accompanied by paresthesia,lumbar and cervical pain with paresthesia,dysphagia,dysphonia,and urinary and fecal incontinence.Spinal MRI revealed abnormal signals in the anterior and lateral columns at the C2-T1 spinal level,with no enhancement observed in contrast-enhanced scan.The patient was diagnosed as SCI combined with HIE,and was treated with antiplatelet therapy and rehabilitation.Literature review revealed that SCI is a rare central nervous system disease with multiple causes,often related to aortic surgery or pathology,presenting with segmental sensory disturbances among other clinical manifestations.MRI plays a significant role in its diagnosis,and there is currently no specific effective treatment available.Conclusions SCI has a sudden onset and is often insidious,frequently accompanying other diseases,leading to a high risk of misdiagnosis.In this case,SCI was considered to be caused by low blood pressure and vertebral artery tenuity.Clinical manifestations include paraplegia at the lesion level along with back/neck pain or limb paresthesia.Diagnosis primarily relies on MRI imaging while treatment involves secondary stroke prevention measures,rehabilitation training,complication prevention strategies as well as hyperbaric oxygen therapy.

Objective To discuss the application of Hydrocoil Azur CX(an electrolysis dehydration gel platinum coil)in interventional embolization of pulmonary arteriovenous fistula(PAVF).Methods Three patients with untreated PAVF,who were admitted to the Affiliated Hospital of Qingdao University of China between May 2023 and July 2023,were selected for this study.Interventional embolization of the responsible vessels with Hydrocoil Azur CX and other spring coils was carried out for all 3 patients.Results Multiple PAVF lesions were effectively obstructed in 3 patients.No recanalization occurred during a follow-up period of 6 months.Conclusion The Hydrocoil Azur CX can effectively and permanently embolize the PAVF.

Objective To explore the preoperative diagnostic value of a radiomics nomogram based on intratumoral and peritumoral apparent diffusion coefficient(ADC)maps for prostate cancer.Methods A retrospective collection was conducted on MRI images of 503 patients with prostate lesions confirmed by pathology.The region of interest(ROI)was delineated on the ADC maps and extended 1-5 mm outward to form the peritumoral region.Radiomics features were extracted from both intratumoral and peritumoral regions,and radiomics models were established.A combined model integrating clinical model was constructed and a nomogram was drawn.The performance of each model and nomogram were evaluated.Results The combined model achieved the highest area under the curve(AUC)in the test set(AUC=0.823)at a peritumoral distance of 3 mm.The nomogram based on the combined model showed good predictive performance and clinical utility on both decision curve analysis(DCA)and calibration curve.Conclusion The radiomics nomogram based on intratumoral and peritumoral ADC maps has the greatest diagnostic value in distinguishing benign and malignant prostate cancer at a peritumoral distance of 3 mm before surgery.

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.

Diabetic nephropathy(DN)is a serious complication of diabetes mellitus and a leading cause of end-stage renal diseases.In DN patients,key pathological mechanisms include proteinuria,glomerulo-sclerosis,and fibrosis,largely driven by poor glycemic control and oxidative stress caused by prolonged hyperglycemia.This stress damages renal podocytes and triggers inflammatory mesenchymal infiltration of renal tubular cells,exacerbating the progression of proteinuria and fibrosis.Human umbilical cord-de-rived mesenchymal stem cells(hUC-MSCs)offer promising potential for treating DN due to their strong anti-oxidative properties.In this study,we developed a DN mouse model and treated the mouse via tail vein injections of hUC-MSCs(1×106 cells/mouse).The results indicated that hUC-MSCs significantly lowered fasting blood glucose levels(22.5±3.0 vs 14.7±1.1,P＜0.01)and improved glucose toler-ance,as shown by intraperitoneal glucose tolerance test(IPGTT)results(P＜0.05).Additionally,the renal function improved in hUC-MSCs-treated mice,with marked reductions in oxidative stress markers,including blood urea nitrogen(BUN),urinary creatinine(Ucr),urinary protein(PRO),superoxide dismutase(SOD),and malondialdehyde(MDA)(P＜0.05).Histological analyses through hematoxy-lin-eosin(H&E),Periodic Acid-Schiff(PAS),and Sirius red staining demonstrated alleviation of glo-merular mesangial hyperplasia,glomerular hypertrophy,and tubular inflammation.Furthermore,hUC-MSCs treatment downregulated the expression of oxidative stress-related proteins,such as NADPH oxi-dase 4(NOX4)and thioredoxin-interacting protein(TXNIP),and reduced reactive oxygen species(ROS)production(P＜0.05).Meanwhile,human renal cortical proximal tubule epithelial cells(HK-2 cells)were selected for validation in vitro experiments using high glucose treatment followed by super-natants of hUC-MSCs(MSC-CM),and Western blotting showed that the expression of both NOX4 and TXNIP was inhibited(P＜0.05)and ROS expression was reduced.In conclusion,hUC-MSC treatment effectively lowered blood glucose levels and improved renal function in DN mice,likely through the sup-pression of NOX4 expression and TXNIP-mediated oxidative stress.

Aim To detect the non-coding RNA(ncRNA)expression profile of neuroglioma cells via whole transcriptome sequencing,establish the ceRNA network and reveal the molecular mechanism of ncRNA participating in the inhibition of neuroglioma cell prolif-eration by melatonin.Methods Neuroglioma cells were intervened with by 0,2,4,6 and 8 mmol·L-1 melatonin for 24,48 and 72 h,and the inhibitory effect of melatonin on cell proliferation was detected via CCK-8;after the intervention of 0 and 4 mmol·L-1 melatonin to U251 cells for 24 h,differentially ex-pressed miRNA(DEmiRNA),lncRNA(DElncRNA)and mRNA(DEmRNA)were detected through whole transcriptome sequencing,along with GO and KEGG enrichment analysis of DEmRNA;the ceRNA network was constructed,and the key gene expression of ceR-NA was verified through qRT-PCR.Results Melato-nin exerts a time-dose-dependent inhibitory effect on the proliferation of neuroglioma cells;a total of 5049 DEmRNA,635 DElncRNA and 146 DEmiRNA in 0 and 4 mmol·L-1 melatonin groups were screened out via whole transcriptome sequencing;DEmRNAs were mainly enriched in cancer-related signaling pathways,such as ferroptosis,mTOR signaling pathway,FoxO signaling pathway and cell cycle;the ceRNA network included 4 lncRNAs,3 miRNAs and 48 mRNAs.As verified through real-time PCR,the expressions of hsa-miR-129-5p,hsa-miR-362-5p,LINC00707 and SLC16A1-AS1 of U251 cells were consistent with the sequencing results,and the gene expression of U87 cells was basically consistent with the sequencing re-sults.Conclusions Melatonin affects cancer-related signaling pathways through the differential expression of ncRNA so as to inhibit the proliferation of U251 cells;the ceRNA network composed of LINC00707,SLC16A1-AS1,hsa-miR-129-5p and hsa-miR-362-5p may take a part in the molecular mechanism of melato-nin in inhibiting neuroglioma cell proliferation.

Objective To explore the value of intensity ratio(IR)of lesion to non-tumor liver parenchyma on contrast-enhanced ultrasound(CEUS)Kupffer phase for differentiating hepatocellular carcinoma(HCC)and intrahepatic cholangiocarcinoma(IHC)/metastatic liver carcinoma.Methods Totally 54 patients with HCC(HCC group),30 with IHC and 51 with liver metastatic carcinoma(non-HCC group)diagnosed by pathology were retrospectively enrolled.Quantitative parameters derived from CEUS time-intensity curves,including peak intensity(PI),time to peak(TTP),wash-in area under the curve(WiAUC),wash-out area under the curve(WoAUC),wash-in and wash-out area under the curve(WiWoAUC)of lesion in vascular phase and IR of lesion to non-tumor liver parenchyma in Kupffer phase were compared between groups,and a combined diagnostic model was established based on parameters being significantly different between groups using binary logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curves(AUC)were calculated to evaluate the efficacy of each CEUS parameter alone and the combined model for differentiating HCC and IHC/liver metastatic carcinoma.Results In HCC group,PI,WoAUC and WiWoAUC were all higher(all P＜0.001),while IR was significantly lower than those in non-HCC group(P＜0.001).The AUC of PI,WoAUC,WiWoAUC and IR for differentiating HCC and IHC/metastatic liver carcinoma was 0.673,0.741,0.738 and 0.736,respectively,all lower than that of combined model(0.862,all P＜0.05).Conclusion IR of lesion to non-tumor liver parenchyma on CEUS Kupffer phase could be used to differentiate HCC and IHC/metastatic liver carcinoma.Combining with quantitative parameters on CEUS vascular phase could improve differentiating efficiency.

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 explore the preoperative diagnostic value of a radiomics nomogram based on intratumoral and peritumoral apparent diffusion coefficient(ADC)maps for prostate cancer.Methods A retrospective collection was conducted on MRI images of 503 patients with prostate lesions confirmed by pathology.The region of interest(ROI)was delineated on the ADC maps and extended 1-5 mm outward to form the peritumoral region.Radiomics features were extracted from both intratumoral and peritumoral regions,and radiomics models were established.A combined model integrating clinical model was constructed and a nomogram was drawn.The performance of each model and nomogram were evaluated.Results The combined model achieved the highest area under the curve(AUC)in the test set(AUC=0.823)at a peritumoral distance of 3 mm.The nomogram based on the combined model showed good predictive performance and clinical utility on both decision curve analysis(DCA)and calibration curve.Conclusion The radiomics nomogram based on intratumoral and peritumoral ADC maps has the greatest diagnostic value in distinguishing benign and malignant prostate cancer at a peritumoral distance of 3 mm before surgery.