AIM To investigate the effects of Polygonum cuspidatum and polydatin on lipid deposition in adipose tissue of high-fat diet-induced obese mice.METHODS Forty male C57BL/6J mice were randomly assigned to either a control group(10 mice)fed standard chow or a diet-induced obesity(DIO)group(30 mice)fed a high-fat diet for 8 weeks.The successful mouse models were randomly assigned to the model group,the polydatin group(250 mg/kg)and the P.cuspidatum group(4.5 g/kg),with 8 mice in each group,to resume their high-fat diet during the following 8 weeks corresponding drug administration by gavage.Weekly body weight measurements were recorded for all mice.Serum TG,TC and LDL levels were quantified post-treatment.Histopathological assessment of adipose tissue was performed using HE staining.The mRNA expressions of AMPK,SREBP-1c and FAS in adipose tissue were analyzed by RT-qPCR.The protein expressions of p-AMPK,SREBP-1c and FAS in adipose tissue was detected by Western blot.RESULTS Compared to the control group,the model group displayed significantly higher body weight,inguinal fat weight and epididymal fat weight(P＜0.05);elevated serum TG,TC and LDL levels(P＜0.05);markedly enlarged volumes of inguinal and epididymal adipocytes(P＜0.01);reduced p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and upregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).Compared to the model group,both the P.cuspidatum group and polygonin group exhibited significantly reduced body weight and inguinal fat weight(P＜0.05);decreased serum TG and TC levels(P＜0.05);reduced inguinal adipocyte size(P＜0.01);elevated p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and downregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).CONCLUSION P.cuspidatum and polydatin significantly increases p-AMPK expression while decreasing SREBP-1c and FAS levels in adipose tissue.This regulatory effect likely contributes to reduction of body weight in obese mice through suppression of lipogenesis.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:Persistent proatlantal intersegmental artery (PPIA) is a rare variant of persistent carotid-vertebrobasilar anastomoses and mostly discovered incidentally. To explore the clinical features of PPIA, and enhance the understanding of this rare cerebrovascular variation.Methods:A retrospective analysis was performed. The clinical data of 6 patients with PPIA admitted to Department of Neurointervention, First Affiliated Hospital of Zhengzhou University from June 2018 to June 2024 were analyzed. The imaging features, associated cerebrovascular diseases, treatments and follow-up results were summarized.Results:Among the 6 PPIA patients, 4 were with type I and 2 were with type II; 5 were with left PPIA and 1 patient was with right PPIA; 5 patients had bilateral vertebral artery hypoplasia or absence, and 1 patient had absence of the ipsilateral vertebral artery and normal development of the contralateral vertebral artery. Four PPIA patients were combined with intracranial aneurysms: 2 patients received dual stent-assisted embolization and flow diverter device combined with covered stent implantation, respectively (after 6 months of follow-up, modified Rankin scale score of 0 indicating good prognosis and healed intracranial aneurysms), and the other 2 patients with micro-aneurysms were not treated. One patient was combined with internal carotid artery stenosis and accepted stent placement (good prognosis at 6 months after follow-up). One patient was combined with acute basilar artery tip occlusion and accepted aspiration thrombectomy (died of brain herniation 7 days after thrombectomy).Conclusions:PPIA is often accompanied by vertebral artery developmental abnormalities and prone to have concurrent intracranial aneurysms or ischemic stroke. When performing surgical treatment for cerebrovascular diseases associated with PPIA, PPIA protection to ensure blood supply of the posterior circulation is essential.

AIM To investigate the effects of Polygonum cuspidatum and polydatin on lipid deposition in adipose tissue of high-fat diet-induced obese mice.METHODS Forty male C57BL/6J mice were randomly assigned to either a control group(10 mice)fed standard chow or a diet-induced obesity(DIO)group(30 mice)fed a high-fat diet for 8 weeks.The successful mouse models were randomly assigned to the model group,the polydatin group(250 mg/kg)and the P.cuspidatum group(4.5 g/kg),with 8 mice in each group,to resume their high-fat diet during the following 8 weeks corresponding drug administration by gavage.Weekly body weight measurements were recorded for all mice.Serum TG,TC and LDL levels were quantified post-treatment.Histopathological assessment of adipose tissue was performed using HE staining.The mRNA expressions of AMPK,SREBP-1c and FAS in adipose tissue were analyzed by RT-qPCR.The protein expressions of p-AMPK,SREBP-1c and FAS in adipose tissue was detected by Western blot.RESULTS Compared to the control group,the model group displayed significantly higher body weight,inguinal fat weight and epididymal fat weight(P＜0.05);elevated serum TG,TC and LDL levels(P＜0.05);markedly enlarged volumes of inguinal and epididymal adipocytes(P＜0.01);reduced p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and upregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).Compared to the model group,both the P.cuspidatum group and polygonin group exhibited significantly reduced body weight and inguinal fat weight(P＜0.05);decreased serum TG and TC levels(P＜0.05);reduced inguinal adipocyte size(P＜0.01);elevated p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and downregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).CONCLUSION P.cuspidatum and polydatin significantly increases p-AMPK expression while decreasing SREBP-1c and FAS levels in adipose tissue.This regulatory effect likely contributes to reduction of body weight in obese mice through suppression of lipogenesis.

Objective:Persistent proatlantal intersegmental artery (PPIA) is a rare variant of persistent carotid-vertebrobasilar anastomoses and mostly discovered incidentally. To explore the clinical features of PPIA, and enhance the understanding of this rare cerebrovascular variation.Methods:A retrospective analysis was performed. The clinical data of 6 patients with PPIA admitted to Department of Neurointervention, First Affiliated Hospital of Zhengzhou University from June 2018 to June 2024 were analyzed. The imaging features, associated cerebrovascular diseases, treatments and follow-up results were summarized.Results:Among the 6 PPIA patients, 4 were with type I and 2 were with type II; 5 were with left PPIA and 1 patient was with right PPIA; 5 patients had bilateral vertebral artery hypoplasia or absence, and 1 patient had absence of the ipsilateral vertebral artery and normal development of the contralateral vertebral artery. Four PPIA patients were combined with intracranial aneurysms: 2 patients received dual stent-assisted embolization and flow diverter device combined with covered stent implantation, respectively (after 6 months of follow-up, modified Rankin scale score of 0 indicating good prognosis and healed intracranial aneurysms), and the other 2 patients with micro-aneurysms were not treated. One patient was combined with internal carotid artery stenosis and accepted stent placement (good prognosis at 6 months after follow-up). One patient was combined with acute basilar artery tip occlusion and accepted aspiration thrombectomy (died of brain herniation 7 days after thrombectomy).Conclusions:PPIA is often accompanied by vertebral artery developmental abnormalities and prone to have concurrent intracranial aneurysms or ischemic stroke. When performing surgical treatment for cerebrovascular diseases associated with PPIA, PPIA protection to ensure blood supply of the posterior circulation is essential.

Objective To construct a prediction model for in-hospital mortality in the elderly(≥65 years)patients undergoing unsynchronous cardioversion in ICU and to evaluate its effectiveness.Methods A retrospective study was conducted on 276 elderly eligible patients in the ICU of the Ninth and the First Medical Centers of Chinese PLA General Hospital between June 2022 and August 2024.According to their clinical outcomes,they were divided into a non-in-hospital dead group(111 cases)and an in-hospital dead group(165 cases).Clinical data were collected,and pre-dictive factors for in-hospital mortality were screened.And then a nomogram prediction model was developed based on the obtained predictive factors,which was evaluated with ROC curve and deci-sion curve analyses.Results When compared to the non-in-hospital dead group,the in-hospital dead group had significantly higher heart rate,ratio of hemodialysis,and levels of alanine amin-otransferase,aspartate aminotransferase,lactate dehydrogenase,alkaline phosphatase,serum cre-atinine,blood glucose,lactate,low base excess,sequential organ failure assessment(SOFA)score,model for end-stage liver disease score,and larger proportions of ventricular fibrillation/flutter and structural heart disease induced by pulseless ventricular tachycardia,and had significantly lower Glasgow Coma Scale(GCS)(P＜0.05).Multivariate logistic regression analysis identified body temperature＞37℃(OR=0.426,95％CI:0.198-0.915,P=0.029),chronic obstructive pulmonary disease(OR=2.333,95％CI:1.217-4.473,P=0.011),GCS score(OR=0.622,95％CI:0.410-0.944,P=0.026),hemoglobin(OR=0.817,95％CI:0.715-0.934,P=0.003),lactate(OR=1.365,95％CI:1.174-1.587,P=0.000),heart rate＞100 bpm(OR=2.757,95％CI:1.397-5.441,P=0.003),and SOFA score(OR=1.112,95％CI:1.032-1.198,P=0.005)as pre-dictors of in-hospital mortality.ROC curve analysis showed an AUC value of above indicators combined together in the prediction was 0.797,with a sensitivity of 76.97％and a specificity of 65.77％.Calibration curve analysis demonstrated good consistency between predicted and observed outcomes.Decision curve analysis indicated favorable clinical utility of the model.Conclusion This study identifies independent risk factors for in-hospital mortality among elderly patients in the ICU who underwent asynchronous cardioversion.Based on these factors,a nomo-gram model is established,demonstrating good discrimination,calibration,and model fit,with high clinical applicability.

Objective To construct a prediction model for in-hospital mortality in the elderly(≥65 years)patients undergoing unsynchronous cardioversion in ICU and to evaluate its effectiveness.Methods A retrospective study was conducted on 276 elderly eligible patients in the ICU of the Ninth and the First Medical Centers of Chinese PLA General Hospital between June 2022 and August 2024.According to their clinical outcomes,they were divided into a non-in-hospital dead group(111 cases)and an in-hospital dead group(165 cases).Clinical data were collected,and pre-dictive factors for in-hospital mortality were screened.And then a nomogram prediction model was developed based on the obtained predictive factors,which was evaluated with ROC curve and deci-sion curve analyses.Results When compared to the non-in-hospital dead group,the in-hospital dead group had significantly higher heart rate,ratio of hemodialysis,and levels of alanine amin-otransferase,aspartate aminotransferase,lactate dehydrogenase,alkaline phosphatase,serum cre-atinine,blood glucose,lactate,low base excess,sequential organ failure assessment(SOFA)score,model for end-stage liver disease score,and larger proportions of ventricular fibrillation/flutter and structural heart disease induced by pulseless ventricular tachycardia,and had significantly lower Glasgow Coma Scale(GCS)(P＜0.05).Multivariate logistic regression analysis identified body temperature＞37℃(OR=0.426,95％CI:0.198-0.915,P=0.029),chronic obstructive pulmonary disease(OR=2.333,95％CI:1.217-4.473,P=0.011),GCS score(OR=0.622,95％CI:0.410-0.944,P=0.026),hemoglobin(OR=0.817,95％CI:0.715-0.934,P=0.003),lactate(OR=1.365,95％CI:1.174-1.587,P=0.000),heart rate＞100 bpm(OR=2.757,95％CI:1.397-5.441,P=0.003),and SOFA score(OR=1.112,95％CI:1.032-1.198,P=0.005)as pre-dictors of in-hospital mortality.ROC curve analysis showed an AUC value of above indicators combined together in the prediction was 0.797,with a sensitivity of 76.97％and a specificity of 65.77％.Calibration curve analysis demonstrated good consistency between predicted and observed outcomes.Decision curve analysis indicated favorable clinical utility of the model.Conclusion This study identifies independent risk factors for in-hospital mortality among elderly patients in the ICU who underwent asynchronous cardioversion.Based on these factors,a nomo-gram model is established,demonstrating good discrimination,calibration,and model fit,with high clinical applicability.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease,which poses a major challenge particularly among the elderly population due to its high incidence and high disability.Imaging examination has been used commonly to diagnose KOA.However,it faces imitations in predicting disease progression due to the lack of prior information and constraints in manpower and time.With the rapid evolution of big data and computational technologies,artificial intelligence(AI)is progressively integrating into various healthcare domains.Therefore,the integration of artificial intelligence(AI)into healthcare holds promise for revolutionizing KOA diagnosis and treatment.AI-assisted diagnostic models have demonstrated the potential to automate diagnosis,classify disease severity,and predict disease progression with improved efficiency and accuracy.In addition,these models provide personalized diagnosis and treatment options,as well as accurate disease progression risk assessment.Despite these promising outcomes,challenges such as high costs associated with data annotation and limitations in model generalization capabilities persist.This paper reviews recent advancements in AI applications and summarizes the potential value of utilizing AI applications for KOA.To further enhance the utilization of AI in KOA management to overcome current limitations,future efforts should focus on standardizing clinical sample databases,optimizing AI algorithms,and enhancing external verification sets.

Objective To investigate the effects of meropenem and amikacin on gut microbiota diversity and composition in a neonatal rat model of necrotizing enterocolitis(NEC).Methods Neonatal SD rats(1～2 d,weighing 5～10 g,both sexes)were subjected to establish a NEC model through artificial formula feeding,hypoxic-cold stress,and lipopolysaccharide(LPS)gavage.The rats were randomly divided into normal control group(Group C,n=12),NEC group(Group N,n=20),meropenem intervention group(Group M,n=20),and amikacin intervention group(Group A,n=20).Following modeling,Group M and Group A received intraperitoneal injections of meropenem(125 mg/kg)or amikacin(468 mg/kg),twice daily for 3 consecutive days.Groups C and N were administered an equal volume of normal saline.At the end of the intervention,colonic contents or fecal samples were collected.The gut microbiota structure was analyzed using 16S rDNA high-throughput sequencing.Bioinformatics analysis was performed using the QIIME2 platform.Alpha diversity was evaluated using Chao1,Shannon,and Simpson indices.Beta diversity was assessed based on Bray-Curtis distance through principal coordinate analysis(PCoA)and non-metric multidimensional scaling(NMDS).Venn and UpSet plots were generated to visualize the composition and overlap of operational taxonomic units(OTUs).Linear discriminant analysis effect size(LEfSe)was applied to identify differentially abundant taxa across groups.Results High-throughput 16S rDNA sequencing showed that the N group had significantly lower 3 indices of α diversity than the C group(P<0.01),that is,a Chao1 index from 230 to 40,a Shannon index from 1.65 to 0.85,and a Simpson index from 0.65 to 0.42.After antibiotic intervention,both the M group and A group obtained obvious increases in the Chao1 index than the N group(P<0.001),with a greater increase observed in the M group than in the A group(P<0.05).However,neither antibiotic group exhibited notable improvements in the Shannon index or Simpson index compared with the N group(P>0.05).Venn and UpSet analyses revealed that the M group had the highest number of unique OTUs(283),while the A group shared the most OTUs(63)with the C group.PCoA and NMDS analyses indicated that the microbial structure of the A group was closer to that of the C group,with better clustering.Taxonomic composition and LEfSe analysis demonstrated that the N group was enriched with potentially pathogenic taxa such as Escherichia coli B2 and Klebsiella under the phylum Proteobacteria,while beneficial bacteria including Lactobacillaceae and Bifidobacteriaceae(phylum Firmicutes)were significantly reduced,indicating severe dysbiosis.In contrast,the A group exhibited a significant increase in beneficial bacteria and a structural tendency toward ecological recovery.The M group,however,was enriched with various conditionally pathogenic and environmentally associated genera,displaying a microbial configuration notably deviating from a healthy state.Conclusion Meropenem and amikacin exhibit differential regulatory effects on the intestinal microbiota in the context of NEC.Amikacin demonstrates superior efficacy in restoring microbial stability and levels of beneficial bacteria,whereas meropenem,although effective for early infection control,warrants caution due to its potential long-term impact on the gut microbiome.