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.

Diterpenoid ferruginol is a key intermediate in biosynthesis of active ingredients such as tanshinone and carnosic acid.However, the traditional process of obtaining ferruginol from plants is often cumbersome and inefficient. In recent years, the increasingly developing gene editing technology has been gradually applied to the heterologous production of natural products, but the production of ferruginol in microbe is still very low, which has become an obstacle to the efficient biosynthesis of downstream chemicals, such as tanshinone. In this study, miltiradiene was produced by integrating the shortened diterpene synthase fusion protein,and the key genes in the MVA pathway were overexpressed to improve the yield of miltiradiene. Under the shake flask fermentation condition, the yield of miltiradiene reached about(113. 12±17. 4)mg·L~(-1). Subsequently, this study integrated the ferruginol synthase Sm CYP76AH1 and Sm CPR1 to reconstruct the ferruginol pathway and thereby realized the heterologous synthesis of ferruginol in Saccharomyces cerevisiae. The study selected the best ferruginol synthase(Il CYP76AH46) from different plants and optimized the expression of pathway genes through redox partner engineering to increase the yield of ferruginol. By increasing the copy number of diterpene synthase, CYP450, and CPR, the yield of ferruginol reached(370. 39± 21. 65) mg·L~(-1) in the shake flask, which was increased by 21. 57-fold compared with that when the initial ferruginol strain JMLT05 was used. Finally, 1 083. 51 mg·L~(-1) ferruginol was obtained by fed-batch fermentation, which is the highest yield of ferruginol from biosynthesis so far. This study provides not only research ideas for other metabolic engineering but also a platform for the construction of cell factories for downstream products.
Saccharomyces cerevisiae/genetics* ; Diterpenes/metabolism* ; Metabolic Engineering ; Fermentation ; Abietanes

Alveolar bone reconstruction simulation is an effective means for quantifying orthodontics, but currently, it is not possible to directly obtain human alveolar bone material models for simulation. This study introduces a prediction method for the equivalent shear modulus of three-dimensional random porous materials, integrating the first-order Ogden hyperelastic model to construct a computed tomography (CT) based porous hyperelastic Ogden model (CT-PHO) for human alveolar bone. Model parameters are derived by combining results from micro-CT, nanoindentation experiments, and uniaxial compression tests. Compared to previous predictive models, the CT-PHO model shows a lower root mean square error (RMSE) under all bone density conditions. Simulation results using the CT-PHO model parameters in uniaxial compression experiments demonstrate more accurate prediction of the mechanical behavior of alveolar bone under compression. Further prediction and validation with different individual human alveolar bone samples yield accurate results, confirming the generality of the CT-PHO model. The study suggests that the CT-PHO model proposed in this paper can estimate the material properties of human alveolar bone and may eventually be used for bone reconstruction simulations to guide clinical treatment.
Humans ; Tomography, X-Ray Computed/methods* ; Porosity ; Alveolar Process/physiology* ; Bone Density ; Computer Simulation ; Elasticity ; X-Ray Microtomography ; Stress, Mechanical ; Finite Element Analysis ; Models, Biological

Objective To compare the differences of baseline characteristics of patients with myelodysplastic syndrome(MDS)who achieved platelet(PLT)response after arsenic-containing TCM compounds combined with Western medicine treatment.Methods Totally 72 MDS patients were selected from 12 outpatient departments and wards,such as Xiyuan Hospital,China Academy of Chinese Medical Sciences,Dongfang Hospital,Beijing University of Chinese Medicine from October 2021 to October 2024.Among them,45 patients received arsenic-containing TCM compounds combined with Western medicine treatment,27 patients received Western medicine treatment.The blood routine[white blood cell(WBC)count,hemoglobin,PLT,neutrophil count],TCM syndrome scores,safety indicators,and adverse events were observed before and after three courses of treatment.The efficacy of all patients was evaluated,and the baseline characteristics of patients who achieved PLT response in the arsenic-containing TCM compounds group and the Western medicine treatment group were compared.Results Comparing the differences of baseline characteristics of the two groups,it was found that the patients who achieved PLT response in the arsenic-containing TCM compounds group were compared with those in the Western medicine treatment group:Age<60 years old(P=0.038),longer disease duration(P=0.012),lower WBC(P=0.017),lower reticulocyte percentage(P=0.037),lower blood urea nitrogen(P=0.046),lower high-density lipoprotein cholesterol(P=0.014),and lower N-terminal pro-B-type natriuretic peptide(P=0.034),abnormal electrocardiogram(P=0.013),high blasts(P=0.009),grade 0 reticular fiber staining(P<0.01),normal chromosome karyotype(P<0.01),gene mutation(P<0.01)and high TCM syndrome scores(P=0.013)were found.Conclusion Arsenic-containing TCM compounds consisting of Qinghuang Powder and Bushen Jianpi Decoction combined with Western medicine is used to treat MDS.Patients with age<60 years old,long disease duration,low WBC count,low reticulocyte percentage,low blood urea nitrogen,low high-density lipoprotein cholesterol,low N-terminal pro-B-type natriuretic peptide,abnormal electrocardiogram,high blasts,grade 0 reticular fiber staining,normal chromosome karyotype,gene mutation and high TCM syndrome score are more likely to obtain PLT response.

Objective To explore the changes in trace elements and amino acid profiles in serum of patients with hepatocellular carcinoma(HCC) providing a reference for clinical diagnosis and treatment.Methods A total of 104 patients with HCC who underwent surgical treatment in the Department of Hepatobiliary Surgery of our hospital from January 2024 to April 2024 were selected as the study group, and 139 patients with benign biliary diseases during the same period were selected as the control group. Atomic absorption spectrometry was used to detect the levels of six trace elements (copper, zinc, calcium, magnesium, iron, and lead) in the serum of both groups, and liquid chromatography-tandem mass spectrometry was used to measure the concentrations of 21 amino acids.Results Compared with the control group, the serum copper level in the HCC group was significantly increased (P<0.05), while the levels of zinc and iron were significantly decreased (P<0.05). Amino acid profile analysis revealed that, compared with the control group, the concentrations of tyrosine, methionine, and phenylalanine in the HCC group were increased (P<0.05), while the concentrations of valine, leucine, isoleucine, glutamine, and arginine were decreased (P<0.05). Further analysis of the correlation between trace elements and amino acids with statistical differences between the groups showed that copper was negatively correlated with valine and leucine (P<0.05), while zinc and iron were positively correlated with valine, leucine, and isoleucine (P<0.01).Conclusions Imbalances in trace elements and amino acid metabolism changes are common in patients with HCC, and there may be an intrinsic connection between the two.

Objectives:To investigate the clinical value of cardiac magnetic resonance imaging(CMR)feature-tracking strain analysis in risk stratification of diabetic heart failure with preserved ejection fraction(HFpEF).Methods:In this retrospective study,a total of 215 patients with diabetic HFpEF who underwent CMR at Chinese Academy of Medical Sciences Fuwai Hospital from January 2012 to December 2018 were included.Myocardial strain parameters were calculated using CMR feature-tracking technology.Patients were followed up by medical records or telephone calls.Composite endpoint event,all-cause death or heart failure hospitalization during follow-up were recorded.Patients were divided into event group and event-free group.Univariable and multivariable Cox proportional hazard regression analyses were performed to determine the risk factors for the outcomes in diabetic HFpEF.The effects of hypertension and obesity on the prognosis of diabetic HFpEF patients and whether they affect the prognostic value of CMR feature-tracking strain analysis were also analyzed.Results:During a follow-up of(7.1±1.8)years,93(43.3%)patients had endpoint events(event group),including 28 all-cause deaths and 65 heart failure hospitalization.Compared with the event-free group(n=122),patients in the event group had significantly lower left ventricular ejection fraction,higher prevalence and extent of late gadolinium enhancement,and significantly reduced global longitudinal strain(GLS),global circumferential strain,global radial strain,and global systolic longitudinal strain rate(all P<0.05).The absolute GLS value was significantly lower in event group than in event-free group,regardless of the presence of hypertension and obesity.Multivariate Cox regression analysis showed that estimated glomerular filtration rate(HR=0.983,95%CI:0.972-0.993,P=0.001),left atrial volume index(HR=1.015,95%CI:1.005-1.026,P=0.004),and GLS(HR=1.142,95%CI:1.060-1.231,P<0.001)were independent risk factors for adverse cardiovascular events in diabetic HFpEF patients.However,adjusted N-terminal pro-brain natriuretic peptide was not an independent prognostic factor.The cut-offvalue of GLS to predict outcome was-14.09%from ROC curve analysis.The Kaplan-Meier curve showed that in patients with and without hypertension and obesity,patients with the GLS>-14.09%had lower event-free survival compared to patients with GLS≤-14.09%(all P<0.05),and the ability of GLS to predict adverse outcomes was not affected by hypertension and obesity.Conclusions:GLS obtained by CMR feature-tracking strain analysis is an independent predictor of adverse outcomes in diabetic HFpEF,and its ability to predict adverse outcomes is independent of hypertension and obesity.

Objective:To explore the current status of quality of life of rheumatoid arthritis (RA) patients and its influencing factors based on the health ecology model (HEM) , and to provide a scientific basis for the development of health education programs for RA patients.Methods:From November 2023 to April 2024, 230 RA patients in the Department of Rheumatology and Immunology, General Hospital of Ningxia Medical University, were selected for the study using convenience sampling method. Patients were surveyed using the General Information Questionnaire, Quality of Life Instruments for Chronic Diseases in RA (QLICD-RA) , Health Literacy Management Scale, Social Support Rate Scale, Brief Illness Perception Questionnaire, 8-item Morisky Medication Adherence Scale, Pain Catastrophizing Scale, Chronic Disease Self-Management Study Measures, Fear of Progression Questionnaire-Short Form, Tampa Scale for Kinesiophobia and Visual Analogue Scale. Pearson and Spearman correlation was used to analyze the correlation between quality of life and health literacy, social support, disease perception, self-management behaviors, fear of disease progression, fear of exercise, medication adherence, pain catastrophizing, and pain in RA patients. Multiple linear regression was used to analyze the factors influencing the quality of life of RA patients.Results:A total of 230 questionnaires were distributed and 228 valid questionnaires were recovered, with a valid recovery rate of 99.13% (228/230) . The total QLICD-RA score of 228 RA patients was (137.53±27.57) . Duration of disease, disease perception, pain, pain catastrophizing, self-management behavior, joint deformity, morning stiffness duration, gastrointestinal response, sleep, social support, and main economic sources were the factors influencing the quality of life of RA patients ( P<0.05) , explaining 83.6% of the total variance. Conclusions:The quality of life of RA patients is moderate, and its influencing factors are distributed at all levels of HEM. Healthcare professionals can optimize the health education program for the main influencing factors of each layer, focusing on guiding patients to correctly understand the disease, stimulating the subjective initiative of patients, enhancing the ability of patients to actively manage the disease, and improving the quality of life of patients.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

OBJECTIVES: This study explores the differences in fluid flow within alveolar cancellous bone at various sites under orthodontic forces and elucidates the relationship between fluid shear stress and bone remodeling. These fin-dings lay the groundwork for understanding the biomechanical mechanisms of orthodontic tooth movement. METHODS: Stress relaxation tests were performed on human alveolar bone samples to determine material parameters by using the Prony series. An inverse model of alveolar bone was then developed for numerical simulations of fluid-structure interactions to calculate fluid flow within cancellous bone. Meanwhile, a rat model of tooth movement was established to investigate variations in bone remodeling speeds across different regions. RESULTS: The microstructural distribution of cancellous alveolar bone was similar in humans and rats. The bone volume fraction and trabecular thickness gradually decreased from root cervical region to root apical region, while the trabecular space gradually increased. Under the influence of orthodontic forces, fluid shear stress within cancellous bone showed spatial variability across different levels, with the highest shear stress occurring at the root apical region, ranging from 0 to 0.936 6 Pa. Additionally, the rat model of tooth movement indicated that bone remodeling occurred more rapidly at the root apical region. CONCLUSIONS Fluid stimulation has a remarkable effect on al-veolar bone remodeling, causing changes in the structure of alveolar bone and ultimately regulating the speed of structu-ral remodeling.
Bone Remodeling ; Animals ; Tooth Movement Techniques ; Rats ; Alveolar Process/physiology* ; Stress, Mechanical ; Humans ; Biomechanical Phenomena ; Cancellous Bone/physiology* ; Shear Strength

Objective To develop an animal model that replicates the clinical phenotype of severe asthma.Methods Ovalbumin(OVA)combined with IL-33 or varying doses of lipopolysaccharides(LPS)was used to explore the construction of a severe asthma mouse model.Established model animals were assessed for lung function,number of inflammatory cells,and lung tissue pathology were assessed.Expression of key genes associated with severe asthma identified from the GEO database were validated in the new model.Results Compared with OVA alone,OVA combined with IL-33 or 5 μg LPS significantly increased airway resistance and the number of inflammatory cells in bronchoalveolar lavage fluid,and aggravated the pathological damage to lung tissues.The expression patterns of key genes in the newly constructed severe asthma models were consistent with those observed in clinical patients with severe asthma.Conclusions The modeling method of combining OVA with IL-33 or LPS(5 μg)can be used to construct experimentalanimal models of severe asthma.