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 explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

The application of immunosuppressants has significantly reduced the incidence rate of rejection reaction after liver transplantation， but the clinical efficacy of immunosuppressants is greatly affected by individual differences between patients. This article systematically reviews the recent research advances in the interaction between immunosuppressants and gut microbiota， with a focus on the regulatory role and mechanism of intestinal microflora communities on the efficacy of immunosuppressants. Studies have shown that intestinal microbiome is one of the key factors influencing the efficacy of immunosuppressive therapy after liver transplantation. This review aims to provide a theoretical basis for in-depth research in this field and provide new insights for developing individualized immunosuppressive treatment regimens based on the regulation of intestinal microflora.

Objective:To investigate the key genetic mutations during the progressive disease (PD) /leukemic transformation (LT) course in MDS by analyzing the dynamic changes of genetic mutations in patients with myelodysplastic neoplasms (MDS) with or without PD/LT.Methods:This study enrolled 84 patients with sequential MDS from May 2019 to August 2023 at ZhongDa Hospital Southeast University and used the next generation sequencing to detect gene mutations. The dynamic changes of genetic mutations in patients with MDS with or without PD/LT were retrospectively analyzed.Results:①This study analyzed data from 84 patients diagnosed with MDS with a median age of 63 (range: 31-95) years and consisting of 51 males and 33 females. Participants were distributed to the PD cohort ( n=20), LT cohort ( n=13), and non-PD/LT cohort ( n=51). Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts than the non-PD/LT cohort at the first sequencing (1.6% vs. 0.4%, P=0.013). ②The most frequently mutated genes that were detected at first sequencing were ASXL1 ( n=21, 25.0%), TP53 ( n=17, 20.2%), TET2 ( n=12, 14.3%), DNMT3A ( n=11, 13.1%), and U2AF1 ( n=11, 13.1%). Further, patients from the PD/LT cohorts exhibited a higher median number of mutated genes than the non-PD/LT cohort (2 vs.1, P=0.014) at first sequencing. TET2 (27.3% vs. 5.9%, P=0.010), SETBP1 (15.2% vs.2.0%, P=0.033), and RUNX1 (18.2% vs. 2.0%, P=0.013) mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort. ③The most frequently detected acquired mutations (Ⅰ mutations) and clonally expanded mutations (Ⅱ mutations) were TP53 ( n=9, 10.7%), TET2 ( n=7, 8.3%), ASXL1 ( n=7, 8.3%), and RAS pathway ( n=7, 8.3%). Furthermore, patients from the PD/LT cohorts showed a higher median number of Ⅰ/Ⅱ genes than the non-PD/LT cohort (2 vs. 0, P<0.001), and Ⅰ/Ⅱ RAS pathway (21.2% vs. 0, P=0.001), TP53 (27.3% vs. 0, P<0.001), and TET2 (18.2% vs. 2.0%, P=0.013) mutations were enriched in PD/LT cohorts than in the non-PD/LT cohorts. ④Most of the TP53 mutations (9/12, 75.0%) in PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas all of the TP53 mutations in non-PD/LT cohort were clone-decrease mutations (Ⅲ mutations) (5/8, 62.5%) or clone-stable mutations (Ⅳ mutations) (3/8, 37.5%). Most of the RAS pathway mutations (7/8,87.5%) in the PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas only one patient in the non-PD/LT cohort demonstrated RAS pathway mutations, which belonged to Ⅳ mutations. Conclusion:Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts and a higher median number of mutations than the non-PD/LT cohort at first sequencing; TET2, SETBP1, and RUNX1 mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort at first sequencing. Patients from the PD/LT cohorts exhibited a higher number of Ⅰ/Ⅱ mutations than the non-PD/LT cohort. Further, Ⅰ/Ⅱ TP53, RAS pathway, and TET2 mutations were enriched in the PD/LT cohorts, and Ⅰ/Ⅱ TP53 and RAS pathway mutations may contribute to the PD/LT.

To implement the instructions and directives of General Secretary Xi Jinping on important documents related to traditional Chinese medicine （TCM）， adhere to the equal emphasis on TCM and Western medicine， and promote mutual complementarity， win-win cooperation， and coordinated development between TCM and Western medicine， the China Association of Chinese Medicine has organized seminars on the clinical dominant diseases of TCM in multiple professional fields， achieving a series of results. The aim is to implement the research on dominant diseases of TCM described in the Law of the People's Republic of China on Traditional Chinese Medicine and the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance， Innovation and Development of Traditional Chinese Medicine， thus serving the construction of advantageous specialties， clinical talent cultivation， national scientific and technological layout， and academic innovation leadership. In the field of otolaryngology， the China Association of Chinese Medicine and many Chinese and Western medicine experts across the country have conducted multiple in-depth discussions and research. At the 10^th Clinical Dominant Disease Series Youth Salon， they have elaborated and demonstrated the basic and specific suggestions and consensus on the clinical advantages of TCM and integrated TCM and Western medicine in the treatment of allergic rhinitis （AR）， making great progress. However， there is still a lack of detailed research paths. Under the guidance of the China Association of Chinese Medicine and based on the TCM Dominant Disease Series Salon for AR， this study analyzed the difficulties encountered in AR diagnosis and treatment according to the occurrence and development law of AR. Based on the advantages and characteristics of AR diagnosis and treatment by TCM and integrated TCM and Western medicine， it explored the research paradigm and technological layout points of AR and put forward suggestions. The layout involved four aspects： Optimization of the AR diagnosis and treatment system， prevention and control of comorbidities， management of chronic diseases， and a platform for TCM inheritance. Additionally， suggestions for layout and research directions， expected goals and values， and priority levels for funding were proposed. The study is expected to provide a theoretical basis and development ideas for the future prevention and treatment of AR with TCM and integrated TCM and Western medicine and promote the high-quality development of TCM.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Occlusal rehabilitation is an effective means of treating tooth wear, edentulous jaws and other oral diseases. Among them, full-mouth fixed occlusal reconstruction can effectively restore aesthetics and function, but the complexity of the clinical process, the high sensitivity of the technique, and the high incidence of various complications have always drawn much attention. With the application and development of digital technology in occlusal rehabilitation, the treatment outcome has been improved compared with traditional treatment. However, there are many kinds of digital technology with different efficacy, how to build an efficiently standardized digital clinical technical solution is a current difficulty. Therefore, combined with the long-term work of the department of prosthodontics in our hospital, in this paper, the minimum (occlusal perception of thickness) and maximum (centric relation) geometric quantities which should be paid attention to during reconstruction are put forward. We systematically organized the clinical procedure of digital full-mouth fixed occlusal rehabilitation used in our department for a long time. In conclusion, a 5-stage 19-step or n-step solution (5-19N for short) characterized by "from large to small" restorative space splitting logic is proposed. It has a certain reference value for the future use of digital technology to deal with complex occlusal rehabilitation cases.
Humans ; Dental Occlusion ; Computer-Aided Design ; Mouth, Edentulous/rehabilitation*

Artificial intelligence(AI)is reconstructing drug quality control systems with unprecedented depth.With the rapid development of the traditional Chinese medicine(TCM)industry,the quality regulation of TCM has garnered increasing attention.The efficacy and safety of TCM directly impact public health,making it imperative to enhance the scientific rigor and effectiveness of its quality control.In recent years,the application of AI technology has expanded across various fields,and its potential in TCM quality regulation has gradually been recognized.Cur-rently,AI has demonstrated advantages in multiple stages of TCM production,including cultivation and planting,authenticity identification of decoction pieces,compliance review of manufacturing processes,market circulation monitoring,and risk assessment.However,despite existing research achievements,challenges such as limited technological adoption,low standardization,and insufficient data sharing persist.This paper provides an in-depth review of innovative AI applications in TCM quality control,comprehensively analyzes their effectiveness and future prospects,and proposes a novel"AI-Digital Sensory-Blockchain"tri-synergistic quality control paradigm based on domestic and international research advancements.Furthermore,it explores potential future research directions to advance the modernization of TCM quality regulation,thereby achieving higher levels of safety assurance and scien-tifically robust supervision.

Objective:To investigate the clinical characteristics of cervical adenocarcinoma and analyze the survival status and related prognostic factors.Methods:The data of 229 patients with cervical adenocarcinoma who were diagnosed pathologically in the General Hospital of Ningxia Medical University from January 2013 to October 2022 were retrospectively analyzed. Among them, 198 early stage patients were mainly treated with surgery, and 31 locally advanced stage patients were mainly treated with chemoradiotherapy. The overall survival (OS) and progression-free survival (PFS) rates in the whole cohort of patients and different treatment subgroups were calculated. Kaplan‐Meier method and log‐rank test were used for survival analysis, and Cox proportional hazards model was used for univariate and multivariate survival analyses.Results:Among the 229 patients, there were 11 subtypes of pathological classifications, predominantly of the usual‐type. At the end of follow‐up, 57 patients (24.9%) relapsed. The 3‐ and 5‐year OS rates were 86.4% and 79.3%, respectively, and the 3‐ and 5‐year PFS rates were 81.6% and 73.6%, respectively. Multivariate analysis showed that International Federation of Gynecology and Obstetrics (FIGO) staging of stages Ⅲ‐Ⅳ was an independent prognostic factor for OS and PFS ( HR=2.033, 95% CI=1.456‐2.839, P<0.001; HR=1.701, 95% CI=1.251‐2.313, P=0.001). Lymph node metastasis was an independent risk factor for PFS ( HR=1.610,95% CI=1.021‐2.539, P=0.041). Subgroup analysis of 198 patients with surgical treatment: the 3‐ and 5‐year OS rates were 90.0% and 84.9%, and the 3‐ and 5‐year PFS rates were 82.7% and 76.7%, respectively. Multivariate analysis showed that lymph node metastasis and deep invasion depth were the main risk factors for OS ( HR=6.893, 95% CI=2.592‐18.327, P<0.001; HR=1.952, 95% CI=1.164‐3.272, P=0.011) and PFS ( HR=5.507, 95% CI=2.569‐11.805, P<0.001; HR=1.638, 95% CI=1.09‐2.461, P=0.018). Ovarian preservation was an independent risk factor for PFS ( HR=3.364, 95% CI=1.115‐10.151, P=0.031). Conclusions:The pathological types of cervical adenocarcinoma are complex and diverse. Local recurrence and distant metastasis are the main reasons for treatment failure. FIGO stage, lymph node metastasis and postoperative depth of invasion are the main prognostic factors of cervical adenocarcinoma.

Objective To evaluate the predictive value of neutrophil/high-density lipoprotein cholesterol ratio(NHR)combined with monocyte/lymphocyte ratio(MLR)for early rebleeding after endoscopic treatment in patients with cirrhosis complicated by acute esophagogastric variceal bleeding(AEVB).Methods A total of 228 patients with cirrhosis complicated by AEVB were included in this study.According to the occurrence of early rebleeding,patients were divided into the rebleeding group(96 cases)and the non-rebleeding group(132 cases).General information and laboratory indicators of both groups were collected,and the End-Stage Liver Disease(MELD)score,Child-Turcotte-Pugh(CTP)score,Fibrosis-4(FIB-4)index,NHR,and MLR were calculated.Logistic regression analysis was used to identify the risk factors for early rebleeding in patients with cirrhosis complicated by AEVB.A nomogram model based on NHR and MLR was constructed to predict the risk of early rebleeding.The predictive performance and goodness of fit of the model were evaluated using receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test,Net Reclassification Index(NRI)and Integrated Discrimination Improvement(IDI).Results Compared with the non-rebleeding group,systolic blood pressure,platelet count(PLT),albumin/globulin ratio(A/G)and low-density lipoprotein cholesterol(LDL-C)were decreased in the rebleeding group,while total bile acids(TBA),aspartate aminotransferase(AST),alanine aminotransferase(ALT),total bilirubin(TBIL),activated partial thromboplastin time(APTT),thrombin time(TT),international normalized ratio(INR),Fibrosis-4(FIB-4),NHR,MLR,MELD score and CTP score were increased(P＜0.05).NHR was positively correlated with AST,TBIL and INR(P＜0.05).MLR was negatively correlated with PLT,and positively correlated with AST,TBIL and FIB-4(P＜0.05).Logistic regression analysis results showed that prolonged TT,elevated NHR and MLR were independent risk factors for early rebleeding in patients with cirrhosis complicated by AEVB.The nomogram model based on NHR and MLR to predict early rebleeding had an area under the curve of 0.810(95%CI:0.754-0.866).The Hosmer-Lemeshow test suggested that the model fit well.IDI and NRI analyse showed that the combination of NHR and MLR had better predictive value for the early rebleeding than that of MELD score and CTP score.Conclusion NHR and MLR are effective indicators for predicting early rebleeding after endoscopic treatment in patients with cirrhosis complicated by AEVB.They are helpful in the early identification of high-risk patients and provide a reference for clinical intervention.