Objective: To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression. Methods: A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression. Results: The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%. Conclusions NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.

Objective To analyze the main causes and risk factors of unplanned reoperation after liver transplantation. Methods The clinical data of 242 liver transplant recipients in the First Affiliated Hospital of Anhui Medical University from January 2015 to December 2024 were retrospectively analyzed. According to whether unplanned reoperation was performed during the same hospitalization after surgery, the recipients were divided into the reoperation group (n=36) and the non-reoperation group (n=206). The preoperative, intraoperative and postoperative data of the two groups, as well as donor and graft-related data, were compared to analyze the risk factors of unplanned reoperation after liver transplantation and the survival status of the two groups. Results Among the 242 liver transplant recipients, 36 underwent unplanned reoperations, with a total of 54 procedures including various laparotomies, endoscopic and interventional surgeries, among which there were 20 laparotomies, 18 endoscopic surgeries and 16 interventional surgeries. The most common cause of unplanned reoperation was biliary complications (20 times), followed by vascular complications (17 times). Compared with the non-reoperation group, the reoperation group had longer graft cold ischemia time, higher postoperative fatality rate of recipients, longer length of stay in the intensive care unit and postoperative hospital stay, and higher total hospitalization costs (all P<0.05). The incidence of unplanned reoperation was higher in recipients who underwent split liver transplantation (P<0.05). Multivariate analysis showed that intraoperative blood loss ≥1 000 mL, positive culture of graft perfusate and split liver transplantation were independent risk factors for unplanned reoperation (all P<0.05). The postoperative 7-day, 1-month, 3-month and 6-month survival rates of recipients in the reoperation group and the non-reoperation group were 100% vs. 98.1%, 88.9% vs. 94.2%, 69.4% vs. 90.8% and 66.7% vs. 90.8%, respectively, and the postoperative survival rate of recipients in the reoperation group was lower than that in the non-reoperation group (P<0.05). Conclusions The main causes of unplanned reoperation after liver transplantation are biliary complications, vascular complications, abdominal incision infection and intra-abdominal hemorrhage. Intraoperative massive blood loss, positive culture of graft perfusate and split liver transplantation are the risk factors associated with unplanned reoperation after liver transplantation.

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.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447 485,and 64 949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective To investigate the clinical efficacy of oblique lumbar interbody fusion(OLIF)combined with lateral plate fixation in the treatment of single-level adjacent segment disease(ASDis)following lumbar fusion surgery so as to evaluate the safety and effectiveness of this surgical approach.Methods A retrospective analysis was conducted on 46 patients with single-level ASDis after lumbar fusion surgery from August 2022 to October 2024.Twenty-three patients underwent OLIF combined with lateral plate fixation(OLIF group),while 23 patients received posterior lumbar interbody fusion(PLIF)(PLIF group).The following parameters were compared between the two groups:operative time,intraoperative blood loss,visual analogue scale(VAS)for pain,Oswestry disability index(ODI),disc height(DH),intervertebral foramen height(IFH),and interbody fusion status.Results All the 46 patients successfully completed surgery for single-level ASDis and were followed up for(13.7±1.1)months.The OLIF group had significantly shorter operative time[(70.7±4.6)min vs.(128.6±12.0)min]and less intraoperative blood loss[(58.6±5.7)mL vs.(313.3±47.5)mL]compared to the PLIF group(all P＜0.05).Both groups showed significant improvements in postoperative lumbar VAS and ODI scores at all follow-up time points compared to preoperative values(P＜0.05).The OLIF group exhibited significantly lower lumbar VAS scores at 3 days and 3 months postoperatively than those of the PLIF group(P＜0.05),and there was no statistical difference in VAS scores at the other follow-up time points(P＞0.05).There was no significant difference in postoperative ODI between OLIF group and PLIF group at each time point(P＞0.05).Postoperative DH and IFH were significantly improved in both groups compared to preoperative measurements(P＜0.05).In OLIF group,1 case of transient left thigh numbness resolved with conservative treatment within 2 weeks;1 case of cage subsidence was observed at 1 month postoperatively,achieving fusion without further displacement by 13 months.All the OLIF cases achieved complete fusion(fusion rate:100％).In PLIF group,2 cases of cerebrospinal fluid leakage healed with bed rest,1 case of wound exudation resolved with intensive dressing changes,and 1 case failed to achieve fusion(fusion rate:96％).Conclusion OLIF combined with lateral plate fixation demonstrates satisfactory early clinical outcomes for single-level ASDis after lumbar fusion,with significant advantages in operative efficiency(shorter time plus reduced blood loss)and short-term pain relief.Therefore,it is a safe and effective surgical approach.

Objective To explore the influence of general medicine combined with family motivation management on the prognosis of cardiovascular and cerebrovascular disease patients.Methods A total of 120 cardiovascular and cerebrovascular diseases patients who received medical care at the First People's Hospital ofFuyang District from October 2023 to October 2024 were selected as subjects.They were divided into control group(n=60)and study group(n=60)by using a random number table method.Control group received standard nursing interventions,while study group underwent combined general medicine and family motivation management.Psychological status was assessed using the self-rating anxiety scale(SAS)and self-rating depression scale(SDS),with quality of life and self-management ability evaluated using the World Health Organization quality of life brief scale(WHOQOL-BREF)and exercise of self-care agency scale(ESCA).The triglycerides(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C)and low density lipoprotein cholesterol(LDL-C),readmission rate and average length of stay before and after intervention were compared between two groups.Results After intervention,both groups showed decreased SAS and SDS scores,while WHOQOL-BREF scores and ESCA levels increased.Score of study group were statistically significant better than that of control group(P＜0.05).After intervention,HDL-C levels rose in both groups,whereas LDL-C,TG,and TC levels decreased.The improvement of each index in study group was better than that in control group(P＜0.05).The rehospitalization rate and average length of stay in study group were significantly lower than those in control group(P＜0.05).Conclusion The combination of general medicine and family motivation management can effectively optimize the prognosis of cardiovascular and cerebrovascular disease patients.

Objective To evaluate the effectiveness of therapeutic dentures with flat tables in edentulous patients with neuromuscular dysfunction.Methods Thirteen edentulous patients with neuromuscular dysfunction participated in this study.Initially,conventional complete dentures were fabricated using the biofunctional prosthetic system(BPS)method and delivered to the patients.The satisfaction questionnaire and oral health-related quality of life(OHRQoL)were assessed on the day of delivery and again two weeks later.The pa-tients whose grades of over-all satisfactory fewer than 8 were participated in neuromuscular training with therapeutic dentures.Subse-quently,4 mm of the occlusal surfaces of the mandibular artificial posterior teeth were removed to create flat tables.Once the mandibu-lar position was stabilized,new mandibular denture was fabricated and the same assessments were conducted on the day of delivery.Results In edentulous patients with neuromuscular dysfunction,there were no significant improvements in satisfaction,or OHRQoL on the day of delivery or two weeks later.However,significant improvements in satisfaction and OHRQoL were observed after the defin-itive dentures delivered following neuromuscular training(P＜0.05).Conclusion Thetherapeutic dentures with flat tables can improve the neuromuscular function in edentulous patients with neuromuscular dysfunction,significantly increasing their satisfaction in the den-tures,while also enhancing their quality of life.