Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective:To evaluate the efficacy and safety of blinatumomab in adult patients with relapsed/refractory(R/R)or measurable residual disease(MRD)positive B-cell acute lymphoblastic leukemia(B-ALL)in the real world.Methods:The clinical data of 30 B-ALL patients received at least 1 course of blinatumomab therapy in the Chinese PLA General Hospital from January 1st,2021 to December 31st,2023 were retrospectively analyzed,including pre-treatment baseline clinical feature,post-treatment complete response(CR),CR with partial hematologic recovery(CRh),CR with incomplete hematologic recovery(CRi),complete MRD response rate,MRD response rate(MRD＜10-4),overall survival(OS),and disease-free survival(DFS),as well as drug-related adverse reactions.Results:Among 5 patients who were not assessed 4 were MRD negative and 1 did not receive bone marrow biopsy.In the R/R B-ALL group(13 cases),11 patients achieved CR/CRh/CRi and 10 patients achieved complete MRD response.In MRD+group(12 cases),9 patients achieved overall MRD response and 7 patients achieved complete MRD response.The median follow-up time was 8.4(95％CI:6.3-10.4)months.The median OS was 15.5(95％CI:0.7-30.3)months in the R/R group,while not reached in the MRD+group.The median DFS of the two groups were not reached.Drug-related adverse reactions occurred in 22 patients,and pyrexia was the most common(13 cases).Grade ≥3 adverse reactions occurred in 15 patients,and neutropenia was the most common(9 cases).Cytokine release syndrome occurred in 6 patients,including 5 cases with grade 1 and 1 case with grade 3.No patients interrupted therapy or died due to drug-related adverse reactions.Conclusion:Blinatumomab is effective in the treatment of R/R or continuous MRD+B-ALL with acceptable adverse reactions.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Aim To investigate the effect of eplerenone(EPL)on the alleviation of rheumatoid arthritis(RA)based on voltage-gated potassium channel 1.3(Kv1.3)/B-cell lymphoma-2(Bcl-2)/nuclear factor-κB(NF-κB)to inhibit macrophage M1 polarization in mice.Methods Bioinformatics technology was used to screen disease pathways and targets,and the binding affinity and stability of EPL-Kv1.3 complex system were calculated.A mouse model of RA was established and treated with EPL by intragastric administration for 42 days.The indicators reflecting drug remission of RA were recorded and detected.RAW264.7 cells were treated with EPL to detect the indicators reflecting the effect of drugs on macrophage M1 polarization,and to verify the upstream and downstream key targets of re-lated signaling pathways mediated by drugs.Results Bioinformatics analysis showed that the disease targets were mainly involved in inflammatory response and NF-κB signaling pathway,and EPL-Kv1.3 had high affinity and stable binding.In animal experiments,the detec-tion of anti-cyclic citrullinated peptide antibody(CCP-Ab)and joint score indicated the successful establish-ment of the model.Compared with the model group,EPL could reduce the toe redness and swelling score,alleviate the plantar redness and swelling,synovial swelling,and reduce fibrosis and inflammatory cell in-filtration in mice.The medium-dose and high-dose EPL groups reduced the HE staining score(P＜0.05,P＜0.01),and the high-dose EPL group reduced the serum RF in mice(P＜0.01).CCK-8 results showed that low,medium and high doses of EPL had no effect on the activity of RAW264.7 macrophages(P＞0.05).Compared with the model group,EPL treatment significantly reduced the contents of IL-6,TNF-α and NO in supernatant of the cells(P＜0.01),reduced the nuclear translocation of NF-KB-p65 in the high-dose EPL group,reduced the M1 polarization and increased the proportion of M2 polarization in the medium and high-dose EPL groups(P＜0.01).The mRNA levels of MyD88,IκB-α,NF-κB-p65,NF-KB-p50,IL-1 β and iNOS were significantly reduced in each dose group of EPL(P＜0.01).EPL significantly increased the pro-tein expression of Bcl-2(P＜0.01)and decreased the protein expression of Kv1.3,MyD88,p-IκB-α/IκB-α,p-p65/p65,IL-1 β and iNOS(P＜0.05).Conclusion EPL may play an immunomodulatory role in relieving RA in mice by regulating Kv1.3/Bcl-2/NF-κB path-way,reducing macrophage M1 polarization and amelio-rating macrophage-associated inflammatory response.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To evaluate the efficacy and safety of blinatumomab in adult patients with relapsed/refractory(R/R)or measurable residual disease(MRD)positive B-cell acute lymphoblastic leukemia(B-ALL)in the real world.Methods:The clinical data of 30 B-ALL patients received at least 1 course of blinatumomab therapy in the Chinese PLA General Hospital from January 1st,2021 to December 31st,2023 were retrospectively analyzed,including pre-treatment baseline clinical feature,post-treatment complete response(CR),CR with partial hematologic recovery(CRh),CR with incomplete hematologic recovery(CRi),complete MRD response rate,MRD response rate(MRD＜10-4),overall survival(OS),and disease-free survival(DFS),as well as drug-related adverse reactions.Results:Among 5 patients who were not assessed 4 were MRD negative and 1 did not receive bone marrow biopsy.In the R/R B-ALL group(13 cases),11 patients achieved CR/CRh/CRi and 10 patients achieved complete MRD response.In MRD+group(12 cases),9 patients achieved overall MRD response and 7 patients achieved complete MRD response.The median follow-up time was 8.4(95％CI:6.3-10.4)months.The median OS was 15.5(95％CI:0.7-30.3)months in the R/R group,while not reached in the MRD+group.The median DFS of the two groups were not reached.Drug-related adverse reactions occurred in 22 patients,and pyrexia was the most common(13 cases).Grade ≥3 adverse reactions occurred in 15 patients,and neutropenia was the most common(9 cases).Cytokine release syndrome occurred in 6 patients,including 5 cases with grade 1 and 1 case with grade 3.No patients interrupted therapy or died due to drug-related adverse reactions.Conclusion:Blinatumomab is effective in the treatment of R/R or continuous MRD+B-ALL with acceptable adverse reactions.

Aim To investigate the effect of eplerenone(EPL)on the alleviation of rheumatoid arthritis(RA)based on voltage-gated potassium channel 1.3(Kv1.3)/B-cell lymphoma-2(Bcl-2)/nuclear factor-κB(NF-κB)to inhibit macrophage M1 polarization in mice.Methods Bioinformatics technology was used to screen disease pathways and targets,and the binding affinity and stability of EPL-Kv1.3 complex system were calculated.A mouse model of RA was established and treated with EPL by intragastric administration for 42 days.The indicators reflecting drug remission of RA were recorded and detected.RAW264.7 cells were treated with EPL to detect the indicators reflecting the effect of drugs on macrophage M1 polarization,and to verify the upstream and downstream key targets of re-lated signaling pathways mediated by drugs.Results Bioinformatics analysis showed that the disease targets were mainly involved in inflammatory response and NF-κB signaling pathway,and EPL-Kv1.3 had high affinity and stable binding.In animal experiments,the detec-tion of anti-cyclic citrullinated peptide antibody(CCP-Ab)and joint score indicated the successful establish-ment of the model.Compared with the model group,EPL could reduce the toe redness and swelling score,alleviate the plantar redness and swelling,synovial swelling,and reduce fibrosis and inflammatory cell in-filtration in mice.The medium-dose and high-dose EPL groups reduced the HE staining score(P＜0.05,P＜0.01),and the high-dose EPL group reduced the serum RF in mice(P＜0.01).CCK-8 results showed that low,medium and high doses of EPL had no effect on the activity of RAW264.7 macrophages(P＞0.05).Compared with the model group,EPL treatment significantly reduced the contents of IL-6,TNF-α and NO in supernatant of the cells(P＜0.01),reduced the nuclear translocation of NF-KB-p65 in the high-dose EPL group,reduced the M1 polarization and increased the proportion of M2 polarization in the medium and high-dose EPL groups(P＜0.01).The mRNA levels of MyD88,IκB-α,NF-κB-p65,NF-KB-p50,IL-1 β and iNOS were significantly reduced in each dose group of EPL(P＜0.01).EPL significantly increased the pro-tein expression of Bcl-2(P＜0.01)and decreased the protein expression of Kv1.3,MyD88,p-IκB-α/IκB-α,p-p65/p65,IL-1 β and iNOS(P＜0.05).Conclusion EPL may play an immunomodulatory role in relieving RA in mice by regulating Kv1.3/Bcl-2/NF-κB path-way,reducing macrophage M1 polarization and amelio-rating macrophage-associated inflammatory response.

Non-alcoholic fatty liver disease(NAFLD)is an increasingly serious chronic liver disease worldwide,with complex pathogenesis and many challenges in diagnosis and treatment.In recent years,genome-wide studies have revealed the important roles of epigenetic modifications in the development of NAFLD,especially the involvement of imprinted genes.The parental origin effect of NAFLD suggests that imprinted genes play a key role in its pathogenesis.The Dlk1-Dio3 gene cluster,as one of the largest clusters of imprinted genes,has become a focus of research because of its central role in embryonic devel-opment and metabolic regulation.This review explores the structure and function of the Dlk1-Dio3 gene cluster and its potential role in NAFLD pathogenesis.This gene cluster plays a key role in the"second strike"of NAFLD through a complex regulatory network that affects biological processes such as lipid me-tabolism,glucose metabolism,inflammatory response and oxidative stress in the liver.Specifically,DLK1 acts as a negative regulator,inhibiting adipocyte differentiation and thus reducing hepatic lipid ac-cumulation,while DIO3 promotes adipocyte differentiation and increases hepatic lipid accumulation by regulating thyroid hormone conversion.In addition,the Dlk1-Dio3 gene cluster regulates lipid metabolism by modulating multiple microRNAs(e.g.miR-370,miR-122,etc.).miR-370 exacerbates lipid accu-mulation by inhibiting CPT1α;miR-122 up-regulates SREBP-1c and promotes fatty acid synthesis;and miR-379/410 clusters increase lipid scavenging capacity by decreasing lipid accumulation.Long non-coding RNA MEG3 also plays an important role in NAFLD.meg3 promotes fatty acid oxidation and re-duces lipid droplet accumulation by up-regulating SIRT6,and attenuates lipid synthesis by inhibiting the Wnt/mTOR signaling pathway through binding to miR-21.In terms of insulin resistance,DLK1 inhibits gluconeogenesis and promotes fatty acid oxidation by activating the PI3K/Akt/mTOR pathway,thereby reducing hepatic lipid burden.DIO3,on the other hand,affects insulin sensitivity by regulating thyroid hormones and promotes the development of NAFLD.Meanwhile,the Dlk1-Dio3 gene cluster also plays an important role in regulating oxidative stress and inflammatory responses,and DLK1 attenuates hepatic oxi-dative stress injury by inhibiting inflammatory factor expression and activating antioxidant signaling.Taken together,the Dlk1-Dio3 gene cluster plays a multidimensional role in the occurrence and develop-ment of NAFLD,providing potential biomarkers and therapeutic targets.