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.

Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.

Objective:To investigate the glymphatic system dysfunction and white matter microstructural damage in type 2 diabetic mellitus patients with diabetic peripheral neuropathy (DPN), and to identify the early diagnostic imaging biomarkers.Methods:Thirty-one DPN patients and 31 type 2 diabetes mellitus (T2DM) patients who attended the First People's Hospital of Yancheng from March 2022 to October 2023 were included. In addition, 40 healthy controls (HC) were recruited. All subjects underwent 3.0T MRI scan with diffusion tensor imaging and 3D-T1WI sequences, and the diffusion tensor imaging analysis along the perivascular space(DTI-ALPS) index, perivascular space volume fraction in white matter(PVSVF-WM) and peak width of skeletonized mean diffusivity (PSMD) were calculated. SPSS 26.0 software was used to perform one-way ANOVA, t-tests, and Chi-square tests to compare clinical data and imaging indicators among the three groups. Partial correlation analysis was used to explore the relationships between DTI-ALPS index, PVSVF-WM, PSMD and clinical indicators in DPN patients. Finally, receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of DTI-ALPS index, PVSVF-WM, and PSMD for DPN. Results:The DPN group(1.46±0.19)had considerably lower DTI-ALPS index than the T2DM group (1.59±0.14) and HC group (1.60±0.17) (both P<0.05, Bonferroni correction). The DPN group (1.44±0.11) had significantly higher PVSVF-WM than both the T2DM group (1.35±0.14) and HC group (1.26±0.13) (both P<0.05, Bonferroni correction). The DPN group (1.84±0.31) and the T2DM group (1.83±0.25) had higher PSMD than HC group (1.60±0.24) (both P<0.05, Bonferroni correction), but the difference between the DPN group and the T2DM group was not statistically significant ( P>0.05). The DTI-ALPS index in the DPN group were negatively correlated with PSMD ( r=-0.379, P=0.035). The DTI-ALPS index was negatively correlated with the Toronto clinical scoring system (TCSS) score ( r=-0.456, P=0.01), while PSMD was positively correlated with TCSS scores ( r=0.686, P<0.001) in DPN group. The ROC curves showed that the area under the curve (AUC) was 0.777 ( P<0.001) for the combined diagnosis of DPN with the DTI-ALPS index, PVSVF-WM and PSMD. Conclusion:DPN patients exhibit glymphatic system dysfunction and white matter microstructural damage. The DTI-ALPS index and PSMD can serve as objective markers for assessing DPN severity. The combination of glymphatic system function indicators and white matter microstructural damage markers has moderate diagnostic value for peripheral neuropathy in T2DM patients.

RNA-binding protein human antigen R(HuR)is a protein product of the embryonic lethal abnormal vision gene(ELAVL).It is widely expressed in human cells and primarily regulates mRNA stability through post-transcriptional mecha-nisms,particularly by binding to AU-enriched elements(AR-Es).Recent studies have indicated that HuR interacts with non-coding RNAs to participate in the regulation of gene expression,including long non-coding RNAs,circular RNAs,microRNAs,and vault RNAs.The interactions between HuR and these ncR-NAs play a crucial role in the occurrence and development of va-rious diseases,including tumors.Since there are already reviews summarizing the research on tumors,this review mainly focuses on summarizing the role of HuR-ncRNA interactions in diseases other than tumors.

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.

Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.

Objective:To analyze the immunization status of routine vaccines for children aged 0-7 years old with special health status in Tianhe District, Guangzhou City, from 2023 to 2024.Methods:From April 2023 to March 2024, 42 vaccination units in Tianhe District, Guangzhou, were organized to collect data on diseases and vaccination history of children with special health status. Vaccination rates were calculated, and multivariate logistic regression models were used to explore the impact of special health status on vaccination rates.Results:A total of 1 976 children aged 0-7 years old with special health status were included, with an average of (1.26±0.58) diseases per participant. The average number of vaccine doses administered for routine immunizations was (14.29±4.27), and the full vaccination coverage was 72.76%. The vaccination rate of 10 doses in the immunization program vaccine was less than 90.00%. The timely rate of the first dose of hepatitis B vaccine (HepB1) was 74.14%, and that of the first dose of measles vaccine (MCV1) was 63.93%. Compared with children with infectious diseases, those with neonatal diseases were more likely to miss the third dose of poliomyelitis vaccine (PV3), MCV1 and the second dose of Group A meningococcal polysaccharide vaccine (MPSV-A2). Those with neuromuscular system diseases were more likely to miss PV3, MPSV-A2 and the first dose of Japanese encephalitis vaccine, live (JE-L1). Those with congenital heart disease were more likely to miss PV3, the third dose of diphtheria tetanus-acellular pertussis vaccine (DTaP3), MCV1, MPSV-A2, and JE-L1. Those with hematological disorders were more likely to miss PV3, MCV1, MPSV-A2, and JE-L1. Those with genetic diseases were more likely to miss MPSV-A2. Those with comorbidities were more likely to miss MCV1 and MPSV-A2. Those with neonatal diseases, neuromuscular system diseases, congenital heart disease, hematopoietic system diseases, genetic diseases, or comorbidities had difficulties in completing the full vaccination process.Conclusion:Children with special health conditions have lower rates of routine immunization and timely vaccination. More measures are needed to improve vaccination rates.

Objective:To investigate the glymphatic system dysfunction and white matter microstructural damage in type 2 diabetic mellitus patients with diabetic peripheral neuropathy (DPN), and to identify the early diagnostic imaging biomarkers.Methods:Thirty-one DPN patients and 31 type 2 diabetes mellitus (T2DM) patients who attended the First People's Hospital of Yancheng from March 2022 to October 2023 were included. In addition, 40 healthy controls (HC) were recruited. All subjects underwent 3.0T MRI scan with diffusion tensor imaging and 3D-T1WI sequences, and the diffusion tensor imaging analysis along the perivascular space(DTI-ALPS) index, perivascular space volume fraction in white matter(PVSVF-WM) and peak width of skeletonized mean diffusivity (PSMD) were calculated. SPSS 26.0 software was used to perform one-way ANOVA, t-tests, and Chi-square tests to compare clinical data and imaging indicators among the three groups. Partial correlation analysis was used to explore the relationships between DTI-ALPS index, PVSVF-WM, PSMD and clinical indicators in DPN patients. Finally, receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of DTI-ALPS index, PVSVF-WM, and PSMD for DPN. Results:The DPN group(1.46±0.19)had considerably lower DTI-ALPS index than the T2DM group (1.59±0.14) and HC group (1.60±0.17) (both P<0.05, Bonferroni correction). The DPN group (1.44±0.11) had significantly higher PVSVF-WM than both the T2DM group (1.35±0.14) and HC group (1.26±0.13) (both P<0.05, Bonferroni correction). The DPN group (1.84±0.31) and the T2DM group (1.83±0.25) had higher PSMD than HC group (1.60±0.24) (both P<0.05, Bonferroni correction), but the difference between the DPN group and the T2DM group was not statistically significant ( P>0.05). The DTI-ALPS index in the DPN group were negatively correlated with PSMD ( r=-0.379, P=0.035). The DTI-ALPS index was negatively correlated with the Toronto clinical scoring system (TCSS) score ( r=-0.456, P=0.01), while PSMD was positively correlated with TCSS scores ( r=0.686, P<0.001) in DPN group. The ROC curves showed that the area under the curve (AUC) was 0.777 ( P<0.001) for the combined diagnosis of DPN with the DTI-ALPS index, PVSVF-WM and PSMD. Conclusion:DPN patients exhibit glymphatic system dysfunction and white matter microstructural damage. The DTI-ALPS index and PSMD can serve as objective markers for assessing DPN severity. The combination of glymphatic system function indicators and white matter microstructural damage markers has moderate diagnostic value for peripheral neuropathy in T2DM patients.

Objective To investigate the appropriate indicators for monitoring pediatric nociceptive stimu-lation,this study compared the SPI and NOX,two dual-parameter nociceptive stimulation monitors based on different principles,in terms of their effects on remifentanil consumption and postoperative recovery in pediatric adenotonsil-lectomy.Methods Children aged 3～12 years who were scheduled to undergo adenotonsillectomy under general anesthesia with endotracheal intubation were randomly assigned to the conventional group(Group R,n=19),the SPI group(Group S,n=19),and the NOX group(Group N,n=18)according to the type of nociceptive stimu-lation monitor used.All children were subjected to routine fasting.The depth of anesthesia was monitored using a BIS monitor,and the remifentanil infusion rate was adjusted according to heart rate,SPI,or NOX values to maintain the index within the range of 30～50.After surgery,all children were transferred to the Post-Anesthesia Care Unit(PACU)with the tracheal catheter in place until they recovered.During the operation,the consumption of anes-thetics such as remifentanil was recorded.Postoperatively,pain and agitation scores,the incidence of agitation at different time points,the duration of anesthesia,the surgical time,the time to extubation,and the length of stay in the recovery room were measured.Additionally,postoperative adverse reactions and perioperative vital signs were documented.Results In comparison with Group R,in Group N,the intraoperative consumption of remifentanil and the agitation score during the recovery period were significantly reduced.Conversely,in Group S,both of(P<0.05).There were no significant disparities in the FLACC score,the incidence of agitation,and the extubation time among the three groups.Conclusions The NOX index can serve as a quantitative metric for monitoring nonci-ceptive stimulation during pediatric adenotonsillectomy.This index has the potential to decrease the intraoperative consumption of opioids and the residence time in the recovery room.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.