To investigate the risk factors for acute kidney injury (AKI) following the use of amphotericin B deoxycholate and to develop a predictive model to guide clinical monitoring and intervention.

ObjectiveBased on 16S rDNA technology and molecular biology methods， the molecular mechanism of Shenling Baizhusan in the treatment of diarrhea-predominant irritable bowel syndrome （IBS-D） was investigated. MethodsThe 42 SD rats with SPF were randomly divided into no control group， SLBZS-H， medium （SLBZS-M）， low （SLBZS-L） dose group， positive control group and model group， with 7 rats in each group. The rat model of IBS-D was prepared by ice-cold senna （0.45 g∙mL^-1） gavage （10 mL∙kg^-1） combined with restraint stress for 14 consecutive days. After successful modeling， the corresponding drugs were given to each group with a gavage volume of 10 mL∙kg^-1： The positive group was administered with 2.36 ， 1.18， 0.59 g∙mL^-1 of Shenling Baizhusan in the Positive group and the Model group with the same volume of normal saline for 14 d. The general condition of the rats： Weight， feces， mental state and death were observed and recorded. The body weight， abdominal wall retraction reflex score （AWR） and loose stool rate of rats in each group were measured before （the first day）， after the model （day 14） and after treatment （day 28）. Hematoxylin-eosin staining was used to observe the morphological characteristics of colon tissues of experimental animals. Enzyme-linked immunosorbent assay was used to quantitatively analyze the concentration of inflammatory mediators in the peripheral blood of experimental animals. Western blotting was used to detect the expression levels of key proteins of Toll-like receptor 4 （TLR4）， Toll-like receptor 2 （TLR2）， myeloid differentiation factor 88 （MyD88） and nuclear factor-κB （NF-κB） signaling pathway in rat colon tissue. 16S rDNA technology was used to detect the structural changes of intestinal microbiota in rats. ResultsCompared with Control， the colon of the Model group showed partial mucosal epithelial shedding and inflammatory cell infiltration. The contents of TNF-α， IL-1β， IL-6 and 5-HT in serum increased （P<0.05）， the protein expressions of TLR2， TLR4， MyD88 and NF-κB in colon tissue increased （P<0.05）， the diversity indices of Richness， Chao1， abundance-based coverage estimator（ACE） and Shannon decreased （P<0.05）， and the phylum Firmicutes， Actinobacteria， The relative richness of Bacteroides-H， Lactobacillus and Ligilactobacillus decreased （P<0.05）， while the relative richness of Bacteroidetes， Proteobacteria and Prevotella increased （P<0.05）. Compared with the model group， the colonic structure and organization of the SLBZS-H group， SLBZS-M group， SLBZS-L group and Positive group were clearer， and only a small number of inflammatory cells were present in some areas， and the serum contents of TNF-α， IL-1β， IL-6 and 5-HT were decreased （P<0.05）， TLR2， TLR4， The protein expressions of MyD88 and NF-κB decreased （P<0.05）， and compared with the model group， the diversity indices of Richness， Chao1， ACE and Shannon in the SLBZS-H， SLBZS-M and SLBZS-L groups increased （P<0.05）， and the richness of Firmicutes and Actinobacteria increased （P<0.05）. The richness of Proteobacteria and Prevotella decreased （P<0.05）， and the abundance of Prevotella decreased （P<0.05）， Bacteroides-H， Muribaculum， Lactobacillus and salivarius in the Positive group salivarius （P<0.05）. ConclusionShenling Baizhusan can effectively treat IBS-D， and its molecular mechanism may be to play a therapeutic role by improving intestinal flora and inhibiting the TLRS/MyD88/NF-κB signaling pathway to reduce inflammatory response.

Objective: To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine (TCM) through quantitative topic evolution analysis, we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field. Methods: A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM. Publications were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data, and China Science and Technology Journal Database (VIP), covering the period from database inception to July 3, 2025. A hybrid segmentation approach, based on cumulative publication growth trends and inflection point detection, was applied to divide the research timeline into distinct stages. Subsequently, the latent Dirichlet allocation (LDA) model was used to extract research topics, followed by alignment and evolutionary analysis of topics across different stages. Results: A total of 3 919 publications published between 2003 and 2025 were included, and the research trajectory was divided into five stages based on data-driven breakpoint detection. The field exhibited a clear evolutionary shift from early rule-based systems and tongue-pulse image and signal analysis (2006 – 2010), to machine-learning-based syndrome and prescription modeling (2011 – 2015), followed by deep-learning-driven pattern recognition and formula association (2016 – 2020). Since 2021, research has increasingly emphasized knowledge-graph construction, multimodal integration, and intelligent clinical decision-support systems, with recent studies (2024 – 2025) showing the emergence of large language models and agent-based diagnostic frameworks. Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis, alongside the progressive consolidation of integrated intelligent diagnostic platforms. Conclusion By identifying key technological transitions and persistent core research themes, our findings offer a structured reference framework for the design of intelligent diagnostic systems, the construction of knowledge-driven clinical decision-support tools, and the alignment of AI models with TCM diagnostic logic. Importantly, the stage-based evolutionary insights derived from this analysis can inform future methodological choices, improve model interpretability and clinical applicability, and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.

Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Objective:To investigate the effect of pre-dialysis blood pressure (Pre-BP) on all-cause and cardiovascular disease (CVD) mortality in patients on maintenance hemodialysis (MHD).Methods:This single-center, retrospective cohort study enrolled patients undergoing first-time hemodialysis between January 1, 2007, and June 30, 2021, from the dialysis registry of the First Affiliated Hospital, Zhejiang University School of Medicine. General information and laboratory parameters were collected. Pre-dialysis systolic blood pressure (Pre-SBP) and pre-dialysis diastolic blood pressure (Pre-DBP) were calculated and averaged at 4-6 months after dialysis. The mean Pre-SBP and Pre-DBP values were used as continuous variables, and restricted cubic spline (RCS) curves were used to assess the relationship between Pre-BP and mortality risk. Patients were subsequently divided into six groups for Pre-DBP and six groups for Pre-SBP combined with Pre-DBP. Survival analyses were performed using the Kaplan-Meier method. All-cause and CVD mortality were compared between groups using the log-rank test. Multivariate Cox regression models were used to analyze the associations between Pre-BP and all-cause and CVD mortality.Results:A total of 1 213 patients were enrolled. By the end of follow-up, 175 patients (14.4%) had died, of whom 62 (35.4%) died from CVD. Kaplan-Meier survival curves showed that the Pre-DBP<65 mmHg group (1 mmHg=0.133 kPa) had a significantly lower cumulative survival rate ( χ2=90.52, P<0.001) and a significantly higher CVD mortality rate ( χ2=35.54, P<0.001) than the other groups. The combined Pre-SBP and Pre-DBP analysis showed that the Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg groups had a significantly lower cumulative survival rate ( χ2=45.58, P<0.001) and a significantly higher CVD mortality rate ( χ2=30.13, P<0.001) than the other groups. Multivariate Cox regression model analysis showed that compared with other groups, the risk of MHD all-cause mortality was increased in the Pre-DBP<65 mmHg group and the Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg group [ HR (95% CI)=1.927 (1.195-3.109), 3.298 (1.567-6.939), both P<0.05]. Conclusion:In patients undergoing MHD, Pre-DBP<65 mmHg or Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg were independent risk factors for all-cause mortality, with a low cumulative survival rate and a high risk of CVD mortality.

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.

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.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.