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.

A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex (MOC) was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine (TCM). The strategy possessed four characteristics: 1) The tailored database consisted of metabolites derived from big data-originated reference compound, metabolites predicted in silico, and MOC chemical profile-based pseudomolecular ions. 2) When profiling MOC-derived metabolites in vivo, attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds, as reported by most papers, but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites. 3) Metabolite traceability was performed, especially to distinguish isomeric prototypes-derived metabolites, prototypes of MOC compounds as well as phase I metabolites derived from other MOC compounds. 4) Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification. Using this strategy, 134 metabolites were swiftly characterized after the oral administration of MOC to rats, and several metabolites were reported for the first time. Furthermore, 17 potential active metabolites were discovered by targeting the motilin, dopamine D2, and the serotonin type 4 (5-HT₄) receptors, and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model. This study extends the application of mass spectrometry (MS) to rapidly profile TCM-derived metabolites in vivo, which will help pharmacologists rapidly discover potent metabolites from a complex matrix.

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*

In this study, potential quality markers(Q-markers) of Schisandrae Chinensis Fructus for treating bronchial asthma were predicted based on analytic hierarchy process(AHP), entropy weight method(EWM), fingerprint, and network pharmacology. AHPEWM was employed to quantitatively identify the Q-markers of Schisandrae Chinensis Fructus. AHP was used to weight the primary indicators(effectiveness, measurability, and specificity), while EWM was employed to analyze the secondary indicators of each primer indicator. Further, through fingerprint combined with network pharmacology, a ″component-target-pathway″ network was constructed to screen the components of Schisandrae Chinensis Fructus for treating bronchial asthma. It was finally determined that schisandrol A,schisandrin A, and schisandrin B were potential Q-markers of Schisandrae Chinensis Fructus in the treatment of bronchial asthma. This study is the first to comprehensively use AHP-EWM, fingerprint, and network pharmacology to screen the key Q-markers of Schisandrae Chinensis Fructus in the treatment of bronchial asthma. This study provides a scientific basis for improving the quality standard of Schisandrae Chinensis Fructus and lays a foundation for studying its material basis in treating bronchial asthma.
Schisandra/chemistry* ; Asthma/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Humans ; Entropy ; Lignans/analysis* ; Fruit/chemistry* ; Quality Control ; Cyclooctanes ; Polycyclic Compounds/analysis*

Ginkgo biloba, an ancient relict plant, holds a lengthy medicinal tradition in China. The leaves and seeds of this remarkable species contain flavonoids, a class of active compounds that offer a multitude of pharmacological advantages. The understanding of the synthesis process of these flavonoids can be deepened substantially by elucidating their biosynthetic pathway and metabolic regulation mechanisms. This can thereby provide a foundation for achieving precise regulation of flavonoid biosynthesis, which is of great significance for improving the production efficiency and quality of flavonoids in G. biloba. This review comprehensively summarizes research advancements in metabolomics, genomics, and transcriptomics of flavonoids in G. biloba, aiming to establish a thorough academic framework. It examines key enzymes in the biosynthetic pathway of flavonoids in G. biloba and their functions, highlighting their crucial roles in flavonoid production. Additionally, it outlines transcriptional regulation mechanisms associated with flavonoid in G. biloba biosynthesis, focusing on transcription factors responsive to environmental cues and their regulatory networks that modulate flavonoid gene expression. These insights offer a theoretical foundation for precise control of G. biloba flavonoid production. By amalgamating these diverse research findings, this review aims to establish a robust theoretical groundwork for future studies on biosynthesis and efficient utilization of flavonoids in G. biloba.
Ginkgo biloba/chemistry* ; Flavonoids/biosynthesis* ; Gene Expression Regulation, Plant ; Plant Proteins/genetics* ; Biosynthetic Pathways

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

This paper reviews the current situation of massive open online course (MOOC) construction both domestically and internationally, highlighting the similarities, differences, and limitations of MOOC construction across nations. Based on the full-cycle MOOC construction of the "clinical epidemiology" course at Southern Medical University, including course design, resource integration, online deployment, and teaching evaluation, this study explored the significance, implementation path, and challenges of MOOC construction. This paper also reflects on the activation of teaching content, teacher-student interaction, and teaching mode, aiming to provide a reference for the construction and continuous enhancement of MOOC in China.

Background: Viral hepatitis causes annual deaths of 1.4 million people. Antiviral therapy rarely cures the disease, and patients are usually required to maintain lifelong medication, leading to cumulative drug toxicity. Schisandrae Fructus (SF) is efficacious in the treatment of viral hepatitis. Objective: The systematic review and meta-analysis aim to examine the efficacy and safety of SF alone or in combination with specific and nonspecific treatments for treating viral hepatitis by analyzing the clinical trials performed up to date. Methods: An extensive literature was searched in 7 databases from inception to May 2023. Final outcomes were divided into the primary outcomes containing the total effective rate and virological responses, as well as the secondary outcomes containing liver biochemical functions and frequencies of adverse events. RevMan 5.3 and GRADE pro 3.6 software were used for meta-analysis and assessment of evidence quality. Subgroup analysis was conducted to explore the source of the heterogeneity. Results: Twenty-nine randomized controlled trials were included in the meta-analysis. SF treatment was comparable with western medicines or other traditional Chinese treatments in terms of primary and secondary outcomes. In combination with specific treatments with antiviral medicines, SF group reduced 18.45 U/L of alanine aminotransferase levels [weighted mean difference: 18.45, 95% confidence interval (CI): (16.12, 20.78), p < 0.000 01] and 8.37 U/L of aspartate aminotransferase levels [weighted mean difference: 8.37, 95% CI: (1.25, 15.48), p = 0.02], and it decreased the levels of hyaluronic acid (HA) [standard mean difference (SMD): 0.92, 95% CI: (0.58, 1.27), p < 0.000 01], laminin (LN) [SMD: 0.64, 95% CI: (0.38, 0.90), p < 0.000 01], and procollagen type III [SMD: 0.48, 95% CI: (0.28, 0.67), p < 0.000 01], while increasing the total effective rate by 24% [risk ratio: 1.24, 95% CI: (1.15, 1.32), p < 0.000 01]. There were no severe adverse events during treatment. Conclusions: SF was a potential adjuvant for antiviral therapy in restoring liver function. However, the poor quality of the included randomized controlled trials limited the recommendations. More long-term, randomized, and double-blind studies should be performed to assess the efficacy and safety of combination therapy.

Background: Viral hepatitis causes annual deaths of 1.4 million people. Antiviral therapy rarely cures the disease, and patients are usually required to maintain lifelong medication, leading to cumulative drug toxicity. Schisandrae Fructus (SF) is efficacious in the treatment of viral hepatitis. Objective: The systematic review and meta-analysis aim to examine the efficacy and safety of SF alone or in combination with specific and nonspecific treatments for treating viral hepatitis by analyzing the clinical trials performed up to date. Methods: An extensive literature was searched in 7 databases from inception to May 2023. Final outcomes were divided into the primary outcomes containing the total effective rate and virological responses, as well as the secondary outcomes containing liver biochemical functions and frequencies of adverse events. RevMan 5.3 and GRADE pro 3.6 software were used for meta-analysis and assessment of evidence quality. Subgroup analysis was conducted to explore the source of the heterogeneity. Results: Twenty-nine randomized controlled trials were included in the meta-analysis. SF treatment was comparable with western medicines or other traditional Chinese treatments in terms of primary and secondary outcomes. In combination with specific treatments with antiviral medicines, SF group reduced 18.45 U/L of alanine aminotransferase levels [weighted mean difference: 18.45, 95% confidence interval (CI): (16.12, 20.78), p < 0.000 01] and 8.37 U/L of aspartate aminotransferase levels [weighted mean difference: 8.37, 95% CI: (1.25, 15.48), p = 0.02], and it decreased the levels of hyaluronic acid (HA) [standard mean difference (SMD): 0.92, 95% CI: (0.58, 1.27), p < 0.000 01], laminin (LN) [SMD: 0.64, 95% CI: (0.38, 0.90), p < 0.000 01], and procollagen type III [SMD: 0.48, 95% CI: (0.28, 0.67), p < 0.000 01], while increasing the total effective rate by 24% [risk ratio: 1.24, 95% CI: (1.15, 1.32), p < 0.000 01]. There were no severe adverse events during treatment. Conclusions: SF was a potential adjuvant for antiviral therapy in restoring liver function. However, the poor quality of the included randomized controlled trials limited the recommendations. More long-term, randomized, and double-blind studies should be performed to assess the efficacy and safety of combination therapy.