ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

As traditional Chinese medicine （TCM） culture evolves， the academic thoughts of these practitioners， being a core component of TCM inheritance， are gradually shifting from traditional models to digital and intelligent approaches. However， this process faces challenges， including insufficient standardization of data collection and processing， low inheritance efficiency， and the risk of inheritance alienation. To address these issues， this paper proposed the construction of an intelligent platform following the "intelligence-transmission-modeling-linkage" path. "Intelligence" involves using smart perception technologies to accurately collect and classify diagnostic and therapeutic information from famous TCM practitioners， laying the foundation for digital inheritance； "transmission" focuses on leveraging artificial intelligence to mine and inherit the clinical experience of famous TCM practitioners， thereby establishing a "regional academic schools+group commonality" dynamic inheritance system； "modeling" integrates the academic thoughts and advantageous diseases of multiple schools to develop intelligent diagnostic and therapeutic models of famous TCM practitioners， resulting in personalized treatment plans； "linkage" involves constructing a clinical decision support system of famous TCM practitioners by integrating blockchain and generative intelligence， creating an AI digital avatar of TCM diagnostic and therapeutic knowledge. The "intelligence-transmission-modeling-linkage" intelligent inheritance model not only provides new ideas for the digital inheritance of TCM academic schools， but also offers strong support for the modernization and internationalization of TCM.

With the advancement of modern research methods,machine learning(ML)algorithms have been widely applied in traditional Chinese medicine(TCM)diagnosis,transforming subjective syndrome differentiation into a more objective process,thereby providing a feasible pathway for the objectification and quantification of TCM diagnostics.However,challenges persist,including the dual"black-box"nature of disease-syndrome models(lacking interpretability),missing spatiotemporal dynamic data,and the"disconnect"between clinical phenotyping and molecular biomarker research.Focusing on non-alcoholic fatty liver disease(NAFLD),this study proposes a novel framework guided by the biological"multiple-hit"theory and TCM's"disease-syndrome-symptom-stage"approach,which involves:Constructing a mathematical model of NAFLD progression(simple steatosis→steatohepatitis→fibrosis→cirrhosis)via multi-level(phenotypic-cellular-molecular)network modules;And developing an interpretable multidimensional model integrating syndrome-imaging phenomics(macro)and metabolomics-derived biomarkers(micro)to enable personalized NAFLD diagnosis.

With the advancement of modern research methods,machine learning(ML)algorithms have been widely applied in traditional Chinese medicine(TCM)diagnosis,transforming subjective syndrome differentiation into a more objective process,thereby providing a feasible pathway for the objectification and quantification of TCM diagnostics.However,challenges persist,including the dual"black-box"nature of disease-syndrome models(lacking interpretability),missing spatiotemporal dynamic data,and the"disconnect"between clinical phenotyping and molecular biomarker research.Focusing on non-alcoholic fatty liver disease(NAFLD),this study proposes a novel framework guided by the biological"multiple-hit"theory and TCM's"disease-syndrome-symptom-stage"approach,which involves:Constructing a mathematical model of NAFLD progression(simple steatosis→steatohepatitis→fibrosis→cirrhosis)via multi-level(phenotypic-cellular-molecular)network modules;And developing an interpretable multidimensional model integrating syndrome-imaging phenomics(macro)and metabolomics-derived biomarkers(micro)to enable personalized NAFLD diagnosis.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

The difficulty of wound healing in patients is a difficult problem that doctors in all clinical departments may encounter, and there is still no good solution. Resveratrol is a kind of natural active substance, which has anti-inflammatory, antioxidant, antibacterial, and angiogenesis promoting effects, and is a potential drug to promote wound healing. However, the clinical application of resveratrol is limited due to its low bioavailability. In this review, the molecular mechanism of resveratrol in promoting wound healing and its administration methods in wound treatment were reviewed to provide ideas for the redevelopment of resveratrol.

Acute hepatic porphyria （AHP） is a rare disease with abnormal heme metabolism， and breakthroughs have been made in the treatment of this disease in recent years. In addition to conventional treatment methods， this article reviews new therapies for AHP that are in the stage of initial clinical application or are still in the research stage， including RNAi therapy， enzyme replacement therapy， genetic supplementation of DNA or mRNA， drug molecular chaperones， and glycine transporter inhibitors for reducing heme synthesis. Moreover， this article also reviews the treatment of AHP-related comorbidities and complications， such as hyponatremia and posterior reversible encephalopathy syndrome. High glucose infusion is the main treatment method for AHP in China， and the improvement in diagnosis and increased attention to rare diseases in China has promoted the development of the diagnosis and treatment of AHP， and it is expected to explore more suitable treatment methods for AHP in the Chinese population in the future.

OBJECTIVE To evaluate the cost-effectiveness of the first-line treatment using the combination therapy of sugemalimab and chemotherapy (hereinafter referred to as the "combination therapy") for advanced esophageal squamous cell carcinoma (ESCC) with high programmed death-ligand 1 (PD-L1) expression from the perspective of the Chinese healthcare system. METHODS A partitioned survival model was constructed based on data from the GEMSTONE-304 study. The model cycle was set at 3 weeks,with a study duration of 10 years and a discount rate of 5％. The primary output parameters of the model included total costs,quality-adjusted life year (QALY),incremental costs,and incremental cost-effectiveness ratio (ICER). Cost-utility analysis was employed to assess the economic feasibility of the combination therapy compared to chemotherapy alone. The robustness of the base case analysis results was evaluated through univariate sensitivity analysis,probabilistic sensitivity analysis,and scenario analysis. RESULTS The ICER of the combination therapy compared to chemotherapy alone was 288430.35 yuan/QALY,significantly exceeding the willingness-to-pay (WTP) threshold of 173354.52 yuan/QALY which was set at 1.94 times the per capita gross domestic product (GDP) in 2023. The price of sugemalimab was the primary factor influencing the ICER. When the WTP threshold was set at 1.94 times the per capita GDP (173354.52 yuan/QALY),the probability of the combination therapy being cost-effective compared to chemotherapy alone was 0. The combination therapy only became cost-effective compared to chemotherapy alone when the price of the drug dropped to 6107.41 yuan per box (600 mg). CONCLUSIONS From the perspective of the Chinese healthcare system,the combination therapy for first-line treatment of advanced ESCC with high PD-L1 expression is not cost-effective;the combination therapy is cost-effective when the price of sugemalimab decreas by 50.65％.

Hypersplenism is an important complication of cirrhotic portal hypertension, and splenectomy is an important means to treat hypersplenism in cirrhosis. It is realized that hypersplenism played a pathological role in the course of cirrhosis. This article analyzes and compares the changes in the condition of patients with cirrhosis between splenectomy with and without hyperfunction, and comprehensively discusses the pathological role and mechanism of hypersplenism in the course of cirrhosis, in order to strengthen the clinical prevention and treatment of hypersplenism in cirrhosis and to better improve the condition and prognosis of patients with cirrhosis.